ArticlePDF Available

Abstract and Figures

Trial registration: NCT01900262. A total of 52 of the 129 (40%) novice runners experienced at least one running related injury: 21 in the functional strength training program, 16 in the resistance strength training program and 15 in the control stretching program. Injury rates did not differ between study groups [IR = 32.9 (95% CI 20.8, 49.3) in the functional group, IR = 31.6 (95% CI 18.4, 50.5) in the resistance group, and IR = 26.7 (95% CI 15.2, 43.2)] in the control group. Although this was a pilot assessment, home-based strength training did not appear to alter injury rates compared to stretching. Future studies should consider methods to minimize participant drop out to allow for the assessment of injury risk. Injury risk in novice runners based on this pilot study will inform the development of future larger studies investigating the impact of injury prevention interventions.
Content may be subject to copyright.
Running injuries in novice runners enrolled in different training
interventions: a pilot randomized controlled trial
J. Baltich
1
, C. A. Emery
2,3
, J. L. Whittaker
4
, B. M. Nigg
1
1
Human Performance Laboratory (HPL), Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada,
2
Sport
Injury Prevention Research Centre, Faculty of Kinesiology, University of Calgary, Calgary, Alberta, Canada,
3
The Alberta
Children’s Hospital Research Institute for Child and Maternal Health, Cumming School of Medicine, University of Calgary,
Calgary, Alberta, Canada,
4
Department of Physical Therapy, Faculty of Rehabilitation Medicine, Glen Sather Sports Medicine
Clinic, University of Alberta, Edmonton, Alberta, Canada
Corresponding author: Jennifer Baltich, Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, 2500
University Drive NW, Calgary, Alberta, Canada T2N 1N4. Tel: +403 220 5142, Fax: +403 282 7637, E-mail: jbaltich@
ucalgary.ca
Accepted for publication 5 July 2016
The purpose of this trial was to evaluate injury risk in
novice runners participating in different strength training
interventions. This was a pilot randomized controlled trial.
Novice runners (n=129, 1860 years old, <2 years recent
running experience) were block randomized to one of three
groups: a “resistance” strength training group, a
“functional” strength training group, or a stretching
“control” group. The primary outcome was running related
injury. The number of participants with complaints and the
injury rate (IR =no. injuries/1000 running hours) were
quantified for each intervention group. For the first
8 weeks, participants were instructed to complete their
training intervention three to five times a week. The
remaining 4 months was a maintenance period. Trial
registration: NCT01900262. A total of 52 of the 129
(40%) novice runners experienced at least one running
related injury: 21 in the functional strength training
program, 16 in the resistance strength training program
and 15 in the control stretching program. Injury rates did
not differ between study groups [IR =32.9 (95% CI 20.8,
49.3) in the functional group, IR =31.6 (95% CI 18.4,
50.5) in the resistance group, and IR =26.7 (95% CI 15.2,
43.2)] in the control group. Although this was a pilot
assessment, home-based strength training did not appear to
alter injury rates compared to stretching. Future studies
should consider methods to minimize participant drop out
to allow for the assessment of injury risk. Injury risk in
novice runners based on this pilot study will inform the
development of future larger studies investigating the
impact of injury prevention interventions.
Scientific evidence for the benefits of aerobic exercise
has continued to grow over the years. A recent meta-
analysis demonstrates that regular running is associ-
ated with reduced body mass, resting heart rate and
triglycerides, and increased maximal oxygen uptake
and high density lipoprotein cholesterol (Hespanhol
Junior et al., 2015). Despite the enormous health
benefits, the majority of runners will experience a
running related injury (Hespanhol Junior et al.,
2015; Videbæk et al., 2015). Individuals that are new
to running (novice runners) have been shown to have
a higher incidence of running-related injuries than
experienced runners (Videbæk et al., 2015). In addi-
tion to the short-term reduction in activity associated
with an injury, some runners will lose motivation to
run once exposed to an injury, possibly leading to
long-term inactivity (Koplan et al., 1995; Lohman-
der et al., 2004). This may be particularly true for
new runners who are returning to exercise after a
period of inactivity and have yet to form consistent
training habits involving physical activity. Preven-
tion of running injuries for novice runners is impor-
tant to enable these individuals to remain active and
avoid comorbidities associated with inactivity, such
as heart disease and obesity.
Interventions aimed at preventing running related
injuries have aimed to alter risk factors associated
with injury (van Mechelen et al., 1993; Buist et al.,
2008). Previous randomized controlled trials (RCT)
and quasi-experimental studies have demonstrated
that running injury prevention interventions that
reduced weekly running mileage or included a
stretching warm up did not reduce the risk of injury
in novice runners (van Mechelen et al., 1993; Buist
et al., 2008). Another theory is that reduced muscu-
lar strength limits the ability to control movements
at the joints, resulting in increased strain on the soft
tissues and ultimately leading to injury. Some injury
1
Scand J Med Sci Sports 2016: :
doi: 10.1111/sms.12743
ª2016 John Wiley & Sons A/S.
Published by John Wiley & Sons Ltd
prevention interventions have focused on increasing
the strength of the hip musculature for a “top down”
approach to reduce movements at the joints and the
associated injury risk (Hott et al., 2015; Palmer
et al., 2015). However, knowledge can be gained
from evaluating other strengthening interventions
that may alter running mechanics and reduce injury
risk. One form of strengthening that may be relevant
is a “bottom up” approach focusing on the ankle
musculature (Tiberio, 1987; Feltner & Macrae, 1994;
Hollman et al., 2005; Nigg et al., 2006). Another
approach may be to step away from isolated forms
of joint muscle strengthening and incorporating
functional sport-specific movement forms of strength
training (Cates & Cavanaugh, 2009). Both resistance
training at the ankle joint and functional sport-speci-
fic movement strength training, or neuromuscular
training, have been shown to increase strength
(Tropp & Askling, 1988; Feltner & Macrae, 1994;
Heitkamp et al., 2001) and reduce lower extremity
joint movements (Feltner & Macrae, 1994; Myer
et al., 2006). However, the influence of these two dif-
ferent types of strength training on running injury
incidence in novice runners is currently unknown.
Injury surveillance in novice runners requires
detailed attention to the follow-up period and injury
definition. For example, differences in injury rates
between novice runners and experienced runners
were found only with longer follow-up periods
(1 year) as opposed to shorter follow-up periods (8
12 weeks) (Kluitenberg et al., 2015a). With respect
to injury definition, an injury is typically defined
based on a medical attention, full time loss from
activity or a reduction in training volume injury defi-
nition (Bahr, 2009). The definition of injury can have
a significant influence on the reported injury rates in
a group of runners (Kluitenberg et al., 2015b). It is
therefore important to consider the type of runners
who are being evaluated when choosing the appro-
priate injury definition. For example, the injury pro-
portions reported with the medical attention
definition is low (0.915.6% on average) across all
runners except for ultra-marathon runners (65.6%
on average) (Kluitenberg et al., 2015a). Addition-
ally, overuse injuries may be under-reported, as it is
possible that individuals will continue to train with-
out seeking medical attention, despite the presence of
pain from an overuse injury (Junge & Dvorak, 2000;
Bahr, 2009; Clarsen et al., 2012). In summary, the
evaluation of an injury prevention intervention for
novice runners requires follow-up for a sufficient
duration (6 months1 year) using an injury surveil-
lance methodology that includes overuse symptoms
(Clarsen et al., 2012).
Currently, there is little knowledge about the effi-
cacy of either resistance strength training at the ankle
or a functional sport-specific movement form of
strength training to reduce the incidence of injury in
novice runners. Therefore, the objectives of this pilot
RCT are to compare injury incidence rates in healthy
adult novice runners participating in an 8-week resis-
tance ankle strengthening program, an 8-week func-
tional sport-specific movement strength training
program or a stretching control program. In this
pilot study, it was hypothesized that the risk of injury
in the resistance strength training group and the
functional strength training group would be lower
than the control stretching group.
Materials and methods
Study design & participant population
The current study was part of the Calgary Strength for Novice
Runners Study, an RCT conducted in the Faculty of Kinesiol-
ogy at the University of Calgary. The study design and proce-
dures have described in detail previously (Baltich et al., 2014).
All participants provided written informed consent in accor-
dance with the University of Calgary’s policy on research
using human participants. This RCT has been registered with
ClinicalTrials.gov (NCT01900262) and approval for this
research project was obtained from the University of Cal-
gary’s Conjoint Health Research Ethics Board (Ethics ID:
REB13-0153). Novice recreational runners were recruited for
this study as they have been shown to have a higher risk of
running related injuries (Macera et al., 1989; Rolf, 1995;
Tonoli et al., 2010; Genin et al., 2011; Videbæk et al., 2015).
Inclusion criteria included the following: (1) less than 2 years
of recent weekly running exposure, (2) 1860 years of age, (3)
no pain or injury within 3 months of testing, (4) running is the
primary form of exercise and (5) no weekly resistance band or
functional strength training in the previous year. Participants
were recruited through use of posters, university website
advertisements, social media advertisements, and word of
mouth. Participants were randomly assigned to one of three
training groups: a resistance strength training group focusing
on strengthening the ankle joint musculature, a functional
sport-specific movement strength training group, or stretching
control group. An unpredictable randomized allocation
sequence was generated using a random allocation scheme
(one block) with a 1:1:1 allocation ratio between the three
groups. Randomization was not stratified by age or gender.
After participants provided written informed consent and
completed their baseline assessment, they sequentially drew a
numbered, opaque, sealed envelope, and signed the back
before opening the envelope to determine their group
allocation.
Interventions
All exercise interventions were home based and have been
described previously (Table 1) (Baltich et al., 2014). A warm-
up routine consisting of aerobic activity, static and dynamic
stretching was taught to participants in all three groups. For
the stretching control group, participants completed this
warm up for 25-min with no additional training. Stretching
was chosen as a control intervention as it has previously been
shown to have no protective effect in reducing the risk of run-
ning related injury (van Mechelen et al., 1993; Lauersen et al.,
2014). The resistance strength training group and the func-
tional strength training group were asked to complete this
warm up for 5 min in addition to 20 min of group-specific
exercises. For the resistance strength training group,
2
Baltich et al.
Table 1. Training routines for the control stretching, functional strength training, and resistance strength training groups. Adapted from (Baltich et al., 2014)
Stretching control Functional strength training Resistance
strength training
Aerobic
warm up
Static
stretch
Dynamic
stretch
Stretch Lunge Squat Hop Single
leg
standing
Single
leg
standing
Jumps Stretch Resistance
band
Isometric
against
wall
Weeks
1,2
5 min:
side to
side shuttle,
high knee
skipping,
light
running
10 min:
groin,
hamstring,
quadriceps,
calves
10 min:
buttock
kicks,
leg swings
5 min:
aerobic warm
up, static &
dynamic
stretch
10 Reps:
flat ground,
forward &
backward
10 Reps:
flat
ground,
two feet
5 Reps: flat
ground, two
foot box
hop
5930 s:
flat
ground,
eyes
open
5930 s:
flat
ground,
eyes
closed
20 Reps:
flat
ground,
side to
side
5 min:
aerobic
warm up,
static &
dynamic
stretch
Red, 4
sets
of 10
395s
Weeks
3,4
5 min:
side to side
shuttle,
high knee
skipping,
light
running
10 min:
groin,
hamstring,
quadriceps,
calves
10 min:
buttock
kicks,
leg
swings
5 min:
aerobic
warm up,
static &
dynamic
stretch
5 Reps: flat
ground,
lunge
around the
clock
10 Reps:
BOSU ball,
two feet
5 Reps: flat
ground,
one foot
box hop
5930 s:
flat
ground,
trunk lean,
eyes open
5930 s:
flat ground,
trunk lean,
eyes
closed
5 Reps:
flat
ground,
star form,
alter feet
5 min:
aerobic
warm
up, static
& dynamic
stretch
Green, 4
sets
of 10
595s
Weeks
5,6
5 min: side to
side shuttle,
high knee
skipping,
light
running
10 min:
groin,
hamstring,
quadriceps,
calves
10 min:
buttock
kicks,
leg swings
5 min:
aerobic
warm up,
static &
dynamic
stretch
10 Reps:
BOSU ball,
forward &
backward
10 Reps:
Flat ground,
one foot
10 BOSU
ball, two
foot hop
5930 s:
BOSU ball,
eyes open
5930 s:
BOSU
ball eyes
closed
3 reps: flat
ground,
star form,
one foot
5 min:
aerobic
warm
up, static
&
dynamic
stretch
Blue, 4
sets
of 10
3910 s
Weeks
7,8
5 min: side
to side
shuttle,
high knee
skipping,
light
running
10 min: groin,
hamstring,
quadriceps,
calves
10 min:
buttock
kicks,
leg swings
5 min:
aerobic
warm up,
static &
dynamic
stretch
20 Reps:
BOSU ball,
forward &
backward
10 Reps:
BOSU ball,
one foot
10 BOSU
ball, one
foot hop
5930 s: BOSU
ball, trunk lean,
eyes open
5930 s:
BOSU ball,
trunk lean,
eyes closed
3 reps:
flat ground,
star form,
one foot
5 min:
aerobic
warm up,
static &
dynamic
stretch
Black,
4
sets
of 10
5910 s
3
Strength training and running injuries
participants completed a training program with elastic bands
that increased in stiffness every 2 weeks for the first 8 weeks
of the study. Participants in the functional strength training
group were provided with a BOSU
ball (Hedstrom Fitness,
Ashland, Ohio, USA) and asked to complete lunges, squats,
hops, single leg standing and jumps. These exercises increased
in difficulty every 2 weeks for the 8 week training period. Par-
ticipants met in person with the study coordinator every
2 weeks to receive their new equipment and exercises. The 6-
month follow-up period was split into a training period
(8 weeks) and a maintenance period (16 weeks). All partici-
pants were instructed to complete their respective training
protocol three to five times per week in addition to running at
least once a week for the 8 week training period. Following
the 8 week training period, participants were asked to com-
plete their respective training protocol twice a week in addi-
tion to running at least once a week for the remaining
4 month maintenance period. Each participant received an
instructional videotape as well as one-page summary sheets
outlining their exercises. Participants were asked to report
their training and running exposure (minutes) on a weekly
online form. Participants were not aware of the content of the
other interventions.
Outcome measures
All participants completed a baseline questionnaire including
information about running experience (weeks of exposure, fre-
quency per week, average weekly mileage, average training
session duration), preferred running surface (e.g. grass,
asphalt, trail, etc.), number of running shoes, frequency of
replacing running footwear, motivation for running and his-
tory of previous injuries.
The primary outcome of this study was running related
injury. A running related injury was defined as any muscu-
loskeletal complaint of the lower extremity or lower back
caused as a result of running that resulted in a restriction in
running (running distance, duration) for at least 1 week (Buist
et al., 2008). Participants were asked to only report injuries
that they believed were a direct result of running. Injuries that
they did not believe were caused from running were not
reported. If a participant suffered from an injury that resulted
in time loss from training for at least 1 week, they were
instructed to contact the study coordinator to set up a visit
with a physiotherapist at the University of Calgary. At this
visit, the physiotherapist completed a clinical assessment.
Non-running related injuries that were sustained in the
6 month study period were not included in the analyses.
Running exposure, training exposure and physical com-
plaints related to running were self-reported online on a
weekly basis through StudyTRAX, a web-based Electronic
Data Capture system. Running logs included information
regarding the number of running minutes and location (e.g.
grass, track, treadmill, etc.) for each day of the week. Training
exposure included the number of training sessions completed
each week. Physical complaints were tracked using an overuse
injury questionnaire (Clarsen et al., 2013). This questionnaire
asked four questions, including the existence of a physical
complaint that hindered running training, how much this
complaint hindered weekly training distance and duration,
and the extent of the pain associated with the physical com-
plaint. Participants were specifically asked if they had any
complaints at their ankle, knee, or hip. An ‘other’ category
was provided for any physical complaints in other regions
(e.g. lower leg, lower back, upper leg, foot, etc.). Anatomical
location of the injury was self-reported and was not confirmed
with a manikin or any other form of imagery. Messages were
sent by email 1 day before the weekly due date to remind par-
ticipants to complete the online form the following day. A
reminder email was automatically sent if the form was not
completed within 2 days of the due date. If runners did not
complete the online form within 1 week of the initial email,
they were contacted directly by phone to complete the form
either online or over the phone. To reduce the chance of recall
bias, participants were provided with a paper log identical to
the online format to record their daily running and training
exposure on a weekly basis.
Statistical analyses
This study was an exploratory investigation evaluating the
injury incidence rate in novice runners enrolled in different
exercise interventions. An exploratory power analysis was
completed for the expected injury incidence proportions for
this study based on previous studies investigating running
injuries in untrained runners enrolled in running training pro-
grams (Bovens et al., 1989; Taunton et al., 2003). If the inter-
vention groups should lead to a 50% reduction in the injury
incidence and assuming the control group has an injury inci-
dence of 40% (per 100 runners), 82 subjects would be needed
in each group to achieve 80% statistical power with an
a=0.05. Due to the lack of power, the injury outcome analy-
ses for this pilot RCT was exploratory.
The injury incidence proportion (IP) was quantified as the
proportion of runners that sustained at least one running
injury during the 6-month follow-up period. The injury inci-
dence rate (IR) was estimated for each group as the number of
running related injuries per 1000 h of running exposure. Mul-
tiple injuries were taken into account in the calculation of the
IR. The running hours until the time of injury as well as fol-
lowing the injury were also taken into account for the calcula-
tion of the IR. The number of physical complaints in each
body region (lower extremity and lower back) was recorded.
Weekly severity of each physical complaint was rated on a
scale from 0 to 100 (0 =no complaint, 100 =full time loss
with severe pain) as described previously (Clarsen et al., 2013)
(Fig. 1). The week the physical complaint first appeared, as
well as the average weekly severity associated with that com-
plaint, was recorded for all injuries related to running. The
amount of running reduction (minor, moderate, major, full
time loss) was also recorded for all injuries from the physical
complaint questionnaire. If a participant complained of dis-
comfort at multiple anatomical regions, the physical com-
plaint with the highest severity score was identified as the
most severe running related injury.
Results
Population
For the 8 week exercise intervention period, nine
runners (21%) in the functional strength training
group, 15 runners (35%) in the resistance strength
training group and 19 runners (44%) in the stretch-
ing control group dropped out prior to the comple-
tion of the 8-week training period (Fig. 2). An
additional 11 runners (20 total, 47%) from the func-
tional strength training group, four runners (19 total,
44%) from the resistance strength training group
and three runners (22 total, 51%) from the stretching
control group dropped out prior to the full 6 month
completion date (Fig. 2). Baseline anthropometric
4
Baltich et al.
and running experience characteristics for the partic-
ipants that completed the 6 -month follow-up period
as well as the participants that dropped out of the
study are presented in Table 2. Baseline characteris-
tics of those that dropped out of the study and those
that remained in the study appeared similar between
the three training groups.
Adherence training intervention
In the functional strength training group, 22 partici-
pants (51%) completed at least four sessions per
week, 15 (35%) completed two to three sessions per
week and six (14%) completed less than two sessions
per week. For the resistance strength training group,
28 participants (65%) completed at least four ses-
sions per week, 12 (28%) completed two to three ses-
sions per week and three (7%) completed less than
two sessions per week. For the control group, 24 par-
ticipants (56%) completed at least four sessions per
week, 13 (30%) completed two to three sessions per
week and six (14%) completed less than two sessions
per week.
Running related injuries
Of the 129 allocated novice runners in this study, 52
sustained a running-related injury. For the resistance
training group, the 16 participants (37%) reported a
running related injury. For the functional strength
training group, 21 participants (48%) reported a run-
ning related injury, and for the control stretching
group 15 participants (35%) reported a running
related injury. For the participants that reported a
running related injury, 15 (71%) runners in the
functional strength training group, 11 (68%) runners
in the resistance strength training group and 7 (46%)
runners in the stretching control group had reported
a previous lower extremity injury at some point in
their life. Baseline anthropometric measures as well
as running exposure characteristics for the injured
and non-injured participants in each training group
are presented in Table 3.
Four participants of 52 (8%) reported more than
one running related injury: two functional strength
training group participants, one resistance strength
training group participant and one stretching control
group participants. The resistance strength training
group ran a mean of 12.5 h (total =538.5 h) during
the 6-month follow-up period, while runners in the
functional strength training ran a mean of 16.3 h (to-
tal =699.4 h) and the stretching control group ran a
mean of 14 h (total =600.3 h). The running IR was
31.6 injuries/1000 running hours (95% CI; 18.4,
50.5) for the resistance strength training group, 32.9
(95% CI; 20.8, 49.3) for the functional strength
training group, and 26.7 (95% CI; 15.2, 43.2) for the
control group. Weekly severity scores for the most
severe injury of each participant who reported a run-
ning related injury can be seen in Fig. 3.
Of the 96 participants that completed at least three
training sessions on average per week as instructed
(per protocol analysis: resistance =36, func-
tional =32, control =28), 43 participants (45%)
reported at least one running-related injury. For the
resistance training group, 14 participants (36%)
reported at least one running-related injury. For the
functional training group, 16 participants (50%)
reported at least one related injury and for the
stretching group 12 participants (43%) reported at
Fig. 1. (a) Example of an injury questionnaire for ankle complaints and (b) exemplary weekly severity score at the ankle joint
for one participant.
5
Strength training and running injuries
least one running related injury. One participant in
the resistance training group and one participant in
the functional training group reported two running
related injuries. The resistance training group ran a
total of 506 h while the functional training ran a
total of 672 h and the control group ran a total of
Fig. 2. Flow of participants through the study protocol.
6
Baltich et al.
536 h. The running IR was 27.7/1000 running hours
(95% CI; 15.1, 46.5) for the resistance training
group, 25.3 (95% CI; 14.7, 40.5) for the functional
training group and 22.4 (95% CI; 11.6, 39.2) for the
control group.
Knee injuries made up the majority of running
related injuries across all three intervention groups
(46%, 26 of the 56 reported injuries). The ankle was
the next most commonly injured location (20%, 11
of the 56 reported injuries), followed by the foot
(11%, 6 of the 56 reported injuries). Table 4 details
the number of running related injuries, the mean
severity score, and the prevalence of time loss injuries
at each anatomical location for each group. The
mean weekly severity of running related injuries was
similar across the three intervention groups [100
Table 2. Baseline anthropometric and running history characteristics
Characteristic Functional strength training Resistance strength training Stretching control
Completed
(n=23, 53%)
Drop out
(n=20, 47%)
Completed
(n=24, 56%)
Drop out
(n=19, 44%)
Completed
(n=21, 49%)
Drop out
(n=22, 51%)
Ge nder (nfemale, %) 21 (91) 13 (65) 16 (67) 17 (89) 17 (81) 19 (86)
Age (years; median, range) 33 (22, 54) 32 (20, 57) 30 (18, 50) 37 (19, 50) 31 (18, 59) 34 (18, 50)
Height (cm; median, range) 165 (148, 182) 169 (156, 182) 167 (155, 189) 163 (156, 181) 166 (150, 181) 165 (153, 182)
Mass (kg; median, range) 66 (49, 99) 78 (56, 102) 75 (51, 150) 74 (57, 95) 70 (56, 110) 79 (49, 106)
Running experience
(weeks; median, range)
8 (0, 104) 6 (0, 104) 1 (0, 64) 0 (0, 32) 10 (0, 104) 3 (0, 77)
Frequency of runs per week
(median, range)
2 (0, 4) 2 (0, 4) 1 (0, 4) 0 (0, 4) 2 (0, 5) 1 (0, 3)
Weekly distance
(km; median, range)
8 (0, 25) 4 (0, 15) 4 (0, 18) 0 (0, 25) 10 (0, 35) 2 (0, 20)
Training session duration
(minutes; median, range)
30 (0, 60) 20 (0, 60) 18 (0, 40) 0 (0, 30) 25 (0, 45) 20 (0, 45)
Previous injuries (n, %) 12 (52) 13 (65) 14 (58) 11 (58) 10 (48) 11 (50)
Primary training surface (n,%)
Pavement 9 (39) 4 (20) 8 (33) 6 (32) 4 (19) 11 (50)
Trail 1 (4) 2 (10) 0 0 0 0
Treadmill 10 (44) 11 (55) 12 (50) 9 (47) 15 (71) 10 (45)
Indoor Track 3 (13) 3 (15) 4 (17) 4 (21) 2 (10) 1 (5)
Pairs of running footwear (n,%)
12 11 (48) 11 (55) 14 (58) 13 (68) 12 (57) 16 (73)
3 10 (43) 7 (35) 10 (42) 6 (32) 8 (38) 5 (22)
>3 0 1 (5) 0 0 0 1 (5)
Frequency of replacing footwear (n,%)
612 months 15 (65) 10 (50) 10 (42) 11 (58) 12 (57) 16 (73)
1324 months 5 (22) 6 (30) 10 (42) 4 (21) 5 (24) 2 (9)
>24 months 3 (13) 4 (20) 4 (16) 4 (21) 4 (19) 4 (18)
Table 3. Running exposure and baseline anthropometric characteristics for the injured and non-injured participants in each training group
Characteristic Functional strength training Resistance strength training Stretching control
Injured,
n=21, 49%
Non-injured,
n=22, 51%
Injured,
n=16, 37%
Non-injured,
n=27, 63%
Injured,
n=15, 35%
Non-injured,
n=28, 65%
Gender (nfemale, %) 19 (90) 15 (68) 12 (75) 21 (78) 11 (73) 25 (89)
Age (years; median, range) 33 (22, 57) 33 (20, 54) 32 (18, 50) 31 (19, 50) 36 (18, 54) 33 (18, 59)
Height (cm; median, range) 166 (156, 182) 166 (148, 182) 166 (159, 189) 167 (155, 184) 162 (150, 181) 167 (154, 182)
Mass (kg; median, range) 70 (49, 102) 73 (50, 98) 75 (58, 131) 74 (51, 150) 82 (56, 110) 74 (49, 106)
Baseline running experience
(weeks; median, range)
12 (0, 104) 3 (0, 104) 4 (0, 24) 0 (0, 64) 10 (0, 520 6 (0, 104)
Previous injuries (n, %) 15 (71) 10 (45) 11 (68) 13 (48) 7 (460 14 (50)
Total running exposure
(hours; median, range)
10.1 (1.4, 47.5) 18.1 (0, 50.3) 14.6 (0.7, 49.1) 8.1 (0, 31.2) 12.9 (0.6, 51.9) 6.9 (0, 58.9)
Weekly running exposure
(minutes; median, range)
55 (32, 119) 54 (0, 132) 51 (25, 131) 51 (0, 140) 85 (28, 130) 45 (0, 297)
Total running exposure
before injury
(hours; median, range)
3 (1, 38) NA 5 (1, 15) NA 4 (1, 15) NA
First appearance of injury
(week; median, range)
5 (1, 21) NA 5 (1, 18) NA 4 (1, 9) NA
7
Strength training and running injuries
point scale: median, range; functional strength train-
ing 43.0 (31.0, 92.0); resistance strength training 37.7
(31.0, 84.4); stretching control 37 (31.0, 78.1)]. Of the
56 running related injuries, 10 required moderate or
major reductions in running duration and/or dis-
tance: three participants in the functional strength
training group, three participants in the resistance
strength training group and four participants in the
stretching control group. Twelve participants
required full time loss from running for at least
1 week: seven participants in the functional strength
training group, four in the resistance strength train-
ing group and one in the stretching control group.
Time loss injuries that underwent clinical assessment
by a physiotherapists included the following: Foot
midfoot sprain, peroneus longus tendinitis (2), plan-
tar fasciitis, bony projection irritation; Ankle -
Achilles tendinopathy; Knee tibiofibular ligament
sprain, anterior cruciate ligament sprain, patellofe-
moral pain syndrome (2), medial knee joint line pain;
Upper leg hamstring muscle strain.
The number of new running related injuries and
the total running exposure hours for each month of
the 6-month follow-up period are presented in
Table 5. All training groups experienced the major-
ity of running related injuries during the 8-week
training period. For the functional strength training
group, 83% (19 of 23) of the running related injuries
first appeared during the 8-week training period. For
the resistance training group, 65% (11 of 17) of the
running related injuries first appeared during the
8 week training period and 88% (14 of 16) of the
running related injuries in the stretching control
group appeared during the first 8 weeks of the study.
Discussion
The purpose of this RCT was to explore the inci-
dence of injury in novice runners enrolled in a resis-
tance strength training program, a functional
strength training program, or a stretching control
program. It was speculated that this exploratory
study would provide useful information for future
RCTs regarding the risk of injury and dropout rates
accompanying home based exercise interventions
geared towards novice runners. This discussion will
focus on four main findings from this study: (1)
There was no difference between study groups on
running injury rates; (2) injury rates in the current
study are relatively high, highlighting the utility of
using a weekly overuse injury surveillance question-
naire; (3) injury rates were higher during the 8 week
Fig. 3. Weekly severity scores for the most severe injury reported by each participant during the 6-month follow-up period.
Severity scores ranged from zero (no complaint) to 100 (time loss with severe pain). Each gray and white box represents the
severity score for a single participant as a function of time. Participants who completed the entire 6-month follow-up period
are shaded while participants who dropped out are represented as lines.
8
Baltich et al.
training period compared to the 4 month mainte-
nance period for all three groups.
While the sample size was small, leading to the risk
of type II error, the injury rates were similar between
the three training groups for the 6-month tracking
period. Due to the lack of power, this study cannot
definitively determine the effectiveness of either
strengthening intervention. The results from this
study can be used to accurately power a larger RCT
to effectively evaluate the influence of these training
interventions on injury risk. The sample size for this
RCT was determined based on the assumption of a
20% drop out rate. The dropout rates for the full 6-
month follow-up period were approximately 50%
across all three training interventions. Previous stud-
ies reported dropout rates between 10% and 20%
(van Mechelen et al., 1993; Buist et al., 2008; Bre-
deweg et al., 2012). However, previous intervention
studies recruited runners that were currently enrolled
in a start-to-run program (Buist et al., 2008; Bre-
deweg et al., 2012). The runners in the current study
were not a part of any organized running group.
Therefore, they may have lost motivation to run
more easily without the incentive of an organized
running group. Future RCTs evaluating a home-
based training intervention for runners that are not
involved in an organized running group should
develop strategies to reduce the risk of participant
dropout. This may include more contact with study
coordinators or organized group training and run-
ning sessions. If this support is not available, future
studies should adjust their sample size calculation for
a larger dropout rate.
The higher than average loss to follow-up rates in
the current study may be due to a variety of reasons,
including the lack of belief that the given training
intervention will help, the ease of the training pro-
gram or the lack of enjoyment that comes from par-
ticipating in the training. The lack of enjoyment for
the stretching intervention may be of particular
interest. The stretching exercises did not change over
the course of the 8 week training period, whereas the
resistance and functional strength training exercises
became progressively more difficult every 2 weeks.
This monotonous structure may not have been stim-
ulating enough to maintain the interest of the partici-
pant. Future research that incorporates a stretching
control group should consider changing the stretch-
ing exercises every 2 weeks to try to increase the
interest of the participant. An objective
Table 4. Anatomical distribution of running related injuries
Functional strength training Resistance strength training Stretching control
Injury
rate
(/1000 h)
Time loss
(n)
Average weekly
severity score
(median, range)
Injury
rate
(/1000 h)
Time
loss (n)
Average weekly
severity score
(median, range)
Injury
rate
(/1000 h)
Time
loss (n)
Average weekly
severity score
(median, range)
Total 32.9 7 43 (31, 92) 31.6 4 38 (31, 84) 26.7 1 37 (31, 78)
Foot 5.7 4 69 (61, 77) 1.9 1 68.5 1.7 0 37
Ankle 4.3 0 46 (37, 60) 7.4 1 47 (31, 84) 6.6 0 35 (31, 40)
Lower leg 2.8 0 47 (36, 58) 0 0 0 1.7 0 44
Knee 15.7 3 49 (31, 92) 16.7 2 38 (31, 62) 10.0 0 38 (31, 60)
Upper leg 1.4 0 46 1.9 0 35 1.7 1 78.1
Hip 1.4 0 34 1.9 0 37 1.7 0 44.2
Lower back 1.4 0 37 1.9 0 37 3.3 0 37 (37, 37)
Table 5. Frequency of new running related injuries, running exposure hours and injury incidence rate (no. injuries per 1000 h of exposure) for each
month of the 6-month follow-up
Functional strength training Resistance strength training Stretching control
Running
related injuries
(n)
Running
exposure
(h)
Injury
rate
(n/1000 h)
Running
related
injuries (n)
Running
exposure (h)
Injury
rate
(n/1000 h)
Running
related
injuries (n)
Running
exposure
(h)
Injury
rate
(n/1000 h)
Weeks 14 10 165.3 60.4 7 140.8 49.7 10 149.1 67.1
Weeks 58 9 141.9 63.4 4 102.9 38.9 4 106.4 37.6
Weeks 912 2 92.9 21.5 1 86.5 11.6 2 93.7 21.4
Weeks 1316 0 105.8 0.0 3 65.7 45.6 0 83.8 0.0
Weeks 1720 0 85.2 0.0 1 76.8 13.0 0 93.4 0.0
Weeks 2124 2 108.5 19.4 1 65.8 15.2 0 74.0 0.0
Total 23 699.4 30.0 17 538.5 29.7 16 600.3 25.0
9
Strength training and running injuries
questionnaire provided to dropout participants
would also elucidate more details regarding their
choice to leave the study.
For the current study, running injury rates ranged
between 25 and 30 injuries per 1000 h of running
exposure. Previous studies have reported injury rates
in novice runners ranging from 8.9 (95% CI 7.6,
10.3) to 33.0 (95% CI 27.0, 40.0) injuries per 1000 h
of running exposure (Bovens et al., 1989; Buist et al.,
2008). A recent meta-analysis estimated running
injury rates for novice runners to be 17.8 (95% CI
16.7, 19.1) injuries per 1000 h of running exposure
based on past studies (Videbæk et al., 2015). The
injury rates for the current study are at the upper
end of the range of previously reported injury rates
for novice runners. This finding may partially be a
result of the nature of the injury definition and the
overuse injury questionnaire used to identify running
injuries. Only 12 participants (23%) that sustained a
running related injury in the current study required
time loss from running. The remaining participants
reported reductions in running exposure due to their
injury, but did not have to stop running all together.
Therefore, a large portion of running related com-
plaints would not have been captured if a time loss
injury definition had been used to track novice run-
ners. Future studies investigating injury incidence in
novice runners should consider using an overuse
injury questionnaire to capture a more inclusive rep-
resentation of the injury burden.
The current findings also support the potential
need for a pre-conditioning period when training
novice runners. The results from this pilot investiga-
tion indicate that all three training groups had the
highest incidence of injury during the first 8 weeks of
the study during the training period compared to the
4 month maintenance period after the training. It
should be noted that this could be a result of report-
ing bias since running injuries were self-reported and
only the time loss injuries were clinically evaluated
by a physiotherapist. When considering the injury
location, complaints at the foot had some of the
highest average severity scores. A tissue will posi-
tively remodel and strengthen in response to an
external load, as long as enough recovery time is pro-
vided (Kjaer, 2004). If the recovery time is not suffi-
cient or the external load is too high, an overuse
injury may occur (Hreljac, 2004). As novice runners
tend to be inactive prior to commencing a regular
running routine (Buist et al., 2010), the combination
of regular running in addition to exercise training
may have overloaded the tissues in the foot. It may
have been more beneficial to begin the exercise train-
ing intervention prior to commencing a regular run-
ning routine. However, a previous RCT found that
participation in a preconditioning program incorpo-
rating walking and hopping exercises prior to
commencing a running program did not influence
the incidence of injury in a group of novice runners
(Bredeweg et al., 2012). This preconditioning pro-
gram, however, was only 4 weeks in duration. There-
fore, it could be that a longer preconditioning period
(8 weeks) prior to commencement of a running pro-
gram may be more beneficial than starting both the
running routine and the exercise intervention at the
same time.
One of the strengths of this investigation includes
the rigorous RCT methodology. In addition, the
inclusion of running exposure on a weekly basis
informed the estimation of injury rates rather than
depending purely on injury incidence proportions.
This is also the first study to evaluate injury risk
associated with home-based strength training inter-
ventions for novice runners. Certain limitations exist
for this study. First and foremost the small sample
size is a limitation. While this was intended to be a
pilot RCT for injury risk evaluation, the high drop-
out rate was unanticipated and further reduced the
sample size. A larger sample would have allowed for
the initial goal of using a more comprehensive statis-
tical analysis (multivariate regression analysis),
which could have included controlling for potential
confounders such as previous injury and running
experience at baseline (Baltich et al., 2014). If the
intervention groups should lead to a 50% reduction
in the injury incidence and assuming the control
group has an injury incidence of 40% (per 100 run-
ners), 82 subjects would be needed in each group in
order to achieve 80% statistical power with an
a=0.05. Accounting for a 50% drop out rate would
require 164 participants in each group for future lar-
ger scale RCTs. The loss to follow-up may have also
resulted in selection bias. Another limitation is the
limited staff resources available for this RCT. The
use of more research staff may have allowed for
more frequent direct contact with the participants to
increase motivation and training participation for
new runners. Additionally, only the time loss injuries
were clinically evaluated by a physiotherapist. All
other physical complaints were self-reported by par-
ticipants. This cohort of runners was also primarily
female, making the generalizability to males difficult.
Finally, a longer follow-up period of up to one year
may have been informative regarding long-term
injury incidence.
Perspectives
The results of this pilot study suggest that the injury
incidence proportion and injury rate are similar for
novice runners enrolled in a resistance strength train-
ing program, a functional strength training program,
or a stretching program. Dropout rates of approxi-
mately 50% in the current study are higher than
10
Baltich et al.
previously reported dropout rates for participants
enrolled in a supervised running group. Of the 52
participants who reported running related injuries,
only 12 injuries lead to time loss from running, sup-
porting the use of an overuse questionnaire to report
all injuries rather than a time loss definition. The
majority of running related injuries were reported
during the first 8 weeks of the 6-month follow-up
period. The purpose of this pilot RCT was to gain
knowledge for a future larger-scale RCT evaluating
home-based strength training for novice runner
injury prevention. The results of this study bring into
the question the practicality of executing a larger-
scale study with the same design. The high drop-out
rates in combination with the high yet similar injury
rates between groups would promote adjustments to
the study design. Future research should consider
implementing the strength training interventions as a
pre-conditioning program prior to commencing a
regular running routine. Additionally, different
methods to promote participant retention should be
considered for novice runners enrolled in a home-
based exercise intervention. Alternatively, the use of
supervised training may increase adherence to the
training, reduce drop-out rates, and improve the
potential for injury reduction. Future results from
this RCT will include the influence of training on
strength, running mechanics and balance in novice
runners.
Acknowledgements
Jennifer Baltich was supported through PhD stu-
dentships from the Canadian Institutes of Health
Research (Vanier Canada) and Alberta Innovates
Health Solutions. Carolyn Emery is supported
through a Chair in Pediatric Rehabilitation (Alberta
Children’s Hospital Foundation). We would like to
thank all participants for their time and dedication
to this study.
Key words: Athletic injury, novice, prevention,
strength training.
References
Bahr R. No injuries, but plenty of
pain? On the methodology for
recording overuse symptoms in
sports. Br J Sports Med 2009: 43
(13): 966972. Available at
http://doi.org/10.1136/
bjsm.2009.066936.
Baltich J, Emery C, Stefanyshyn D,
Nigg B. The effects of isolated ankle
strengthening and functional balance
training on strength, running
mechanics, postural control and
injury prevention in novice runners:
design of a randomized controlled
trial. BMC Musculoskelet Disord
2014: 15: 407.
Bovens A, Janssen G, Vermeer H,
Hoeberigs J, Janssen M, Verstappen
F. Occurrence of running injuries in
adults following a supervised training
program. Int J Sports Med 1989: 10
(Suppl. 3): S186S190. Available at
http://doi.org/10.1055/s-2007-
1024970.
Bredeweg SW, Zijlstra S, Bessem B,
Buist I. The effectiveness of a
preconditioning programme on
preventing running-related injuries in
novice runners: a randomised
controlled trial. Br J Sports Med
2012: 46 (12): 865870. Available at
http://doi.org/10.1136/bjsports-2012-
091397.
Buist I, Bredeweg SW, Bessem B, van
Mechelen W, Lemmink KAPM,
Diercks RL. Incidence and risk
factors of running-related injuries
during preparation for a 4-mile
recreational running event. Br J
Sports Med 2010: 44 (8): 598604.
Available at http://doi.org/10.1136/
bjsm.2007.044677.
Buist I, Bredeweg S, van Mechelen
W, Lemmink K, Pepping G,
Diercks R. No effect of a graded
training program on the number of
running-related injuries in novice
runners: a randomized controlled
trial. Am J Sports Med 2008: 36
(1): 3339. Available at
http://doi.org/10.1177/
0363546507307505.
Cates W, Cavanaugh J. Advances in
rehabilitation and performance
testing. Clin Sports Med 2009: 28
(1): 6376. Available at
http://doi.org/10.1016/
j.csm.2008.09.003.
Clarsen B, Myklebust G, Bahr R.
Development and validation of a
new method for the registration of
overuse injuries in sports injury
epidemiology. Br J Sports Med 2012:
47 (8): 495502. Available at
http://doi.org/10.1136/bjsports-2012-
091524.
Clarsen B, Myklebust G, Bahr R.
Development and validation of a
new method for the registration of
overuse injuries in sports injury
epidemiology? The Oslo Sports
Trauma Research Centre (OSTRC)
Overuse Injury Questionnaire. Br J
Sports Med 2013: 47 (8): 495502.
Available at http://doi.org/10.1136/
bjsports-2012-091524.
Feltner M, Macrae H. Strength
training effects on rearfoot motion in
running. Med Sci Sports Exerc 1994:
26 (8): 10211027. Available at
http://journals.lww.com/acsm-msse/
abstract/1994/08000/strength_
training_effects_on_rearfoot_motion_
in.14.aspx.
Genin J, Mann R, Thiesen D.
Determining the running-related
injury risk factors in long distance
runners. Br J Sports Med 2011: 45
(2): 310. Available at http://doi.org/
10.1136/bjsm.2011.084038.
Heitkamp HC, Horstmann T, Mayer
F, Weller J, Dickhuth HH. Gain in
strength and muscular balance after
balance training. Int J Sports Med
2001: 22 (4): 285290. Available at
http://doi.org/10.1055/s-2001-13819.
Hespanhol Junior LC, Pillay JD, van
Mechelen W, Verhagen E. Meta-
analyses of the effects of habitual
running on indices of health in
physically inactive adults. Sports
Medicine 2015: 45 (10): 14551468.
Available at http://doi.org/10.1007/
s40279-015-0359-y.
Hollman J, Kolbeck K, Hitchcock J,
Koverman J, Krause D. Correlations
between hip strength and static foot
and knee posture. J Sport Rehabil
2005: 15 (12): 1223.
Hott A, Liavaag S, Juel NG, Brox JI.
Study protocol: a randomised
controlled trial comparing the long
term effects of isolated hip
strengthening, quadriceps-based
11
Strength training and running injuries
training and free physical activity for
patellofemoral pain syndrome
(anterior knee pain). BMC
Musculoskelet Disord 2015: 16 (1):
18. Available at http://doi.org/
10.1186/s12891-015-0493-6.
Hreljac A. Impact and overuse injuries
in runners. Med Sci Sports Exerc
2004: 36 (5): 845849. Available at
http://doi.org/10.1249/
01.MSS.0000126803.66636.DD.
Junge A, Dvorak J. Influence of
definition and data collection on the
incidence of injuries in football. Am
J Sports Med 2000: 28 (5): S40S46.
Available at http://www.ncbi.nlm.
nih.gov/pubmed/11032106.
Kjaer M. Role of extracellular matrix
in adaptation of tendon and skeletal
muscle to mechanical loading.
Physiol Rev 2004: 84 (2): 649698.
Available at http://doi.org/
10.1152/physrev.00031.2003.
Kluitenberg B, van Middelkoop M,
Diercks R, van derWorp H. What
are the differences in injury
proportions between different
populations of runners? A systematic
review and meta-analysis. Sports
Med 2015a: 45 (8): 11431161.
Available at http://doi.org/10.1007/
s40279-015-0331-x.
Kluitenberg B, van Middelkoop M,
Verhagen E, Hartgens F, Huisstede
B, Diercks R, van der Worp H. The
impact of injury definition on injury
surveillance in novice runners. J Sci
Med Sport 2015b: 19 (6): 470475.
Available at http://doi.org/10.1016/
j.jsams.2015.07.003.
Koplan J, Rothenberg R, Jones E. The
natural history of exercise: a 10-yr
follow-up of a cohort of runners.
Med Sci Sports Exerc 1995: 27 (8):
11801184. Available at http://
europepmc.org/abstract/MED/
7476063.
Lauersen J, Bertelsen D, Andersen L.
The effectiveness of exercise
interventions to prevent sports
injuries: a systematic review and
meta-analysis of randomised
controlled trials. Br J Sports Med
2014: 48 (11): 871877. Available at
http://doi.org/10.1136/bjsports-2013-
092538.
Lohmander L, Ostenberg A, Englund
M, Roos H. High prevalence of
knee osteoarthritis, pain, and
functional limitations in female
soccer players twelve years after
anterior cruciate ligament injury.
Arthritis Rheum 2004: 50 (10):
31453152. Available at
http://doi.org/10.1002/art.20589.
Macera C, Pate R, Powell K, Jackson
K, Kendrick J, Craven T. Predicting
lower-extremity injuries among
habitual runners. Arch Intern Med
1989: 149 (11): 25652568. Available
at http://www.ncbi.nlm.nih.gov/
pubmed/2818115.
van Mechelen W, Hlobil H, Kemper H,
Voorn W, de Jongh H. Prevention of
running injuries by warm-up, cool-
down, and stretching exercises. Am J
Sports Med 1993: 21 (5): 711719.
Available at http://
www.ncbi.nlm.nih.gov/pubmed/
8238713.
Myer GD, Ford KR, McLean SG,
Hewett TE. The effects of plyometric
versus dynamic stabilization and
balance training on lower extremity
biomechanics. Am J Sports Med
2006: 34 (3): 445455. Available at
http://doi.org/10.1177/
0363546505281241.
Nigg B, Hintzen S, Ferber R. Effect of
an unstable shoe construction on
lower extremity gait characteristics.
Clin Biomech (Bristol, Avon) 2006:
21 (1): 8288. Available at
http://doi.org/10.1016/
j.clinbiomech.2005.08.013.
Palmer K, Hebron C, Williams JM. A
randomised trial into the effect of
an isolated hip abductor
strengthening programme and a
functional motor control programme
on knee kinematics and hip muscle
strength. BMC Musculoskelet
Disord 2015: 16 (1): 18. Available
at http://doi.org/10.1186/s12891-015-
0563-9.
Rolf C. Overuse injuries of the lower
extremity in runners. Scand J Med
Sci Sports 1995: 5 (4): 181190.
Available at http://www.ncbi.nlm.
nih.gov/pubmed/7552763.
Taunton JE, Ryan MB, Clement DB,
McKenzie DC, Lloyd-Smith DR,
Zumbo BD. A prospective study of
running injuries: the Vancouver Sun
Run “In Training” clinics. Br J
Sports Med 2003: 37 (3): 239244.
Available at http://
www.pubmedcentral.nih.gov/arti
clerender.fcgi?
artid=1724633&tool=pmce
ntrez&rendertype=abstract.
Tiberio D. The effect of excessive
subtalar joint pronation on
patellofemoral mechanics: a
theoretical model. J Orthop Sports
Phys Ther 1987: 9 (4): 160165.
Available at http://www.ncbi.nlm.
nih.gov/pubmed/18797010.
Tonoli D, Cumps E, Aerts I,
Verhagen E, Meeusen R. Incidence,
risk factors and prevention of
running related injuries in long-
distance running: a systematic
review. Sport & Geneeskunde 2010:
43 (5): 1219.
Tropp H, Askling C. Effects of ankle
disc training on muscular strength
and postural control. Clin Biomech
1988: 3: 8891.
Videbæk S, Bueno AM, Nielsen RO,
Rasmussen S. Incidence of running-
related injuries per 1000 h of running
in different types of runners: a
systematic review and meta-analysis.
Sports Med 2015: 45 (7): 10171026.
Available at http://doi.org/10.1007/
s40279-015-0333-8.
12
Baltich et al.
... los ensayos debido al cegamiento claramente descripto de los evaluadores. 6,[17][18][19][20][21][22][23][24][25] El riesgo de abandono fue bajo en todos los ensayos que reportaron baja tasa de deserción. 6,[17][18][19][20][21][22][23][24][25] Tres ensayos se consideraron de riesgo incierto, ya que los participantes podrían haber conocido el momento de la recopilación de datos 17,19,24 , y 1 ensayo fue juzgado como de alto riesgo debido al posible efecto Hawthorne. ...
... 6,[17][18][19][20][21][22][23][24][25] El riesgo de abandono fue bajo en todos los ensayos que reportaron baja tasa de deserción. 6,[17][18][19][20][21][22][23][24][25] Tres ensayos se consideraron de riesgo incierto, ya que los participantes podrían haber conocido el momento de la recopilación de datos 17,19,24 , y 1 ensayo fue juzgado como de alto riesgo debido al posible efecto Hawthorne. 23 Todos los ensayos restantes se consideraron de bajo riesgo. ...
... 23 Todos los ensayos restantes se consideraron de bajo riesgo. 6,18,20,21,[23][24][25] El cumplimiento de las intervenciones se consideró de bajo riesgo en 7 ensayos 6,17-19,21,23 , y el resto de los ensayos tuvo riesgo incierto debido a la falta de información de cumplimiento. 20,22,24 Ambos revisores estuvieron de acuerdo, tanto en los criterios de calidad de los artículos como en la evaluación del riesgo de sesgo. ...
Article
Full-text available
Objetivo: Analizar los efectos de diferentes tipos de entrenamiento para la prevención de lesiones en corredores de diferentes niveles. Materiales y método: Revisión sistemática sin metaanálisis. Se realizó una búsqueda bibliográfica limitada a ensayos clínicos, estudios controlados no aleatorizados y estudios controlados aleatorizados realizados en corredores de todos los niveles y publicados entre enero de 2002 y enero 2022. Se analizaron los efectos de la aplicación de entrenamiento para la prevención de lesiones, en comparación con el entrenamiento normal o la no intervención, y su efectividad en la incidencia de lesiones en esta población. Resultados: Se incluyeron 10 artículos (N=7960 corredores) para la lectura completa y el análisis de datos. Múltiples intervenciones fueron aplicadas para la prevención de lesiones en corredores, con hallazgos contrapuestos en cuanto a la efectividad en la disminución de lesiones relacionadas con la carrera (en total, 3134). Los métodos más efectivos fueron los programas dirigidos y monitoreados por profesionales, enfocados en el fortalecimiento de los músculos del pie; los programas multicomponente y el entrenamiento funcional con reeducación neuromuscular del valgo dinámico de rodilla y reentrenamiento de la carrera. Los programas que no demostraron un impacto significativo en la reducción de lesiones relacionadas con la carrera fueron los programas en línea y autorregulados por el corredor. Conclusión: No puede establecerse con evidencia sólida que una estrategia sea significativamente más efectiva, en comparación con otras estrategias, para la disminución de la incidencia de lesiones en corredores. Existe una inferencia posible relacionada a la efectividad de programas individualizados y programas multicomponente que están enfocados en lo neuromuscular y la corrección de la carrera y monitoreados regularmente por profesiona-les; sin embargo, la cantidad de trabajos de buena calidad es limitada para establecer conclusiones confiables. Se necesitan más estudios en este campo.
... However, these findings were refuted in a more recent meta-analytic study on the topic (Kozinc & Sarabon, 2017). The challenge of preventing RRIs is further reflected in the GRONORUN studies (e.g., Bredeweg et al., 2012;Buist et al., 2008), the Run Clever trial (Ramskov et al., 2018), and the Calgary study (Baltich et al., 2017). Despite promising and varied intervention designs, none of these studies managed to reduce the amount of incurred RRIs. ...
... The results of our app intervention align with many similar studies on the topic of preventing RRIs (e.g., Baltich et al., 2017;Ramskov et al., 2018), as our REMBO app also failed to reduce the incidence of RRIs and chronic fatigue. In light of such findings, one takeaway message might be to recommend long-distance runners and their coaches to maintain realistic expectations of the effectiveness of "self-help" interventions, such as mobile apps. ...
... The present study revealed several possible avenues for future research, outlined here to improve the feasibility of like-minded studies. First, based on the current study, as well as others (e.g., Baltich et al., 2017;Ramskov et al., 2018), it appears highly challenging for any unidimensional perspective (e.g., psychological) to completely explain, predict or prevent RRIs and chronic fatigue. For that very reason, we echo the call for a multidisciplinary approach to injury prevention in sports, as mentioned by Edouard and Ford (2020). ...
Thesis
Full-text available
This dissertation discusses whether specific psychological factors contribute to our ability to understand and optimize the health outcomes of running. It provides information on coping, psychological risk profiles, an app intervention, and a self-assessment tool to determine one's risk for adverse health outcomes as a runner.
... However, these findings were refuted in a more recent meta-analytic study on the topic (Kozinc & Sarabon, 2017). The challenge of preventing RRIs is further reflected in the GRONORUN studies (e.g., Bredeweg et al., 2012;Buist et al., 2008), the Run Clever trial (Ramskov et al., 2018), and the Calgary study (Baltich et al., 2017). Despite promising and varied intervention designs, none of these studies managed to reduce the amount of incurred RRIs. ...
... The results of our app intervention align with many similar studies on the topic of preventing RRIs (e.g., Baltich et al., 2017;Ramskov et al., 2018), as our REMBO app also failed to reduce either the incidence of RRIs or chronic fatigue. In light of such findings, one takeaway message might be to recommend long-distance runners and their coaches to maintain realistic expectations of the effectiveness of "self-help" interventions, such as mobile apps. ...
... The present study revealed several possible avenues for future research, described to improve the feasibility of like-minded studies. First, based on the current study, as well as others (e.g., Baltich et al., 2017;Ramskov et al., 2018), it appears highly challenging for any unidimensional perspective (e.g., psychological) to completely explain, predict or prevent RRIs and chronic fatigue. For that very reason, we echo the call for a multidisciplinary approach in injury prevention in sports, as mentioned by Edouard and Ford (2020). ...
Article
Full-text available
Runners have a high risk of getting injured compared to practitioners of other sports, and reducing this risk appears challenging. A possible solution may lie in the self-regulatory behavior of runners and their passion for running, which are promising predictors of runners' risk of running-related injuries (RRIs) and chronic fatigue. Therefore, in the present study, we investigated to what extent a mobile application (“app”), called REMBO, could reduce the risk of RRIs and chronic fatigue by externally supporting self-regulation in a personalized fashion. Long-distance runners (N = 425; 243 men, 182 women; Mage = 44.7 years), training for half and whole marathon distances, took part in our randomized controlled trial. Runners were randomly allocated to theintervention group with access to the app (n = 214) or to the control group with no access to the app (n = 211). We tested the effectiveness of the app according to the intention-to-treat protocol and via a dose-response analysis, finding no statistically significant effects with regard to RRIs and chronic fatigue. Furthermore, an exploratory latent risk profile subgroup analysis found no evidence that any reductions in RRIs or chronic fatigue due to the app intervention differed across low-risk, medium-risk, and high-risk psychological profiles of runners. Across our study, adherence was relatively low, reasons for which are discussed based on feedback from participants. In our discussion, we outline the implications of the app intervention not achieving its intended effect and list several recommendations that might steer toward more success in preventing RRIs and chronic fatigue in the future.
... Therefore, injury prevention strategies in runners are needed to maintain engagement with running. Despite a growing body of research on injury prevention strategies for runners, interventions which use exercise-based programs 8,9 or online education 10 in isolation have not shown a significant reduction in injury rates. Rather more promising, a foot and ankle-strengthening program that was supervised for the first 8 weeks showed a significant reduction in RRI in recreational runners. ...
... 11 This suggests runners need at least some initial supervision for such interventions to be beneficial, compared to less formally supervised interventions. [8][9][10] Supervised injury prevention exercise programs during warmups in team sports such as football have also shown reduction of injury, with higher compliance and adherence increasing effectiveness. 12,13 However, recreational runners who train on their own may not have the same access to the support and education that athletes training within a team environment may get from coaches and peers. ...
Article
Context: Injury prevention programs are effective when implemented in team sports, but many recreational runners have less access to such focused interventions or peer support and often seek other sources to learn about injury reduction strategies. Objective: This study aimed to explore runners' motivations in attending a prehabilitation (prehab) for runners workshop, establish their comprehension of prehab, and identify barriers to ongoing engagement with injury prevention. Design: Qualitative study using focus groups. Participants and setting: Twenty-two runners participating in prehab for runners workshops took part in one of 4 focus groups, each recorded, transcribed, and analyzed using Grounded Theory to create codes, subthemes, and themes. Results: Four themes emerged: (1) Participation was influenced by experience of previous injury and worry of cessation of running. As the workshop ran weekly for 4 weeks, opportunity to see someone more than once who was also a physiotherapist influenced participation. (2) Runners welcomed clarification for online exercises and advice suggested for runners. They were surprised by the difficulty of single-leg neuromuscular facilitation exercises and reported benefit from most or all information especially non-exercise-based approaches such as load management, pain monitoring, and running cues. (3) Participants were empowered by a structured, holistic, and evidence-based approach that embraced autonomy for exercise self-selection and progression. Confidence to engage in open discussion was due to small group size. (4) Barriers to prehab were personal responsibility, equipment, time, lack of supervision, and peer influence. Conclusion: A composite approach to strategies for injury risk reduction during prehab, combining progressive exercises with educational resources, can address runners' individual needs. Early discussion of motivational tools on commencement of prehab with guidance from runners on how to incorporate prehab independently into running training is recommended. Providing these tools allows runners to self-identify the approach best suited to their personal running profile at that given time.
... Possibilities are that completion of monthly surveys was a repeating reminder of the injury impact on QOL and emotional state, or that the monthly surveys were burdensome. However, our dropout falls within the range of 21%-46% of previously reported prospective studies of runners over a period of 2-12 months [58][59][60]. ...
Article
Full-text available
This prospective cohort study examined the impact of high anxiety levels on psychological state and gait performance during recovery in runners with lower body injuries. Recreational runners diagnosed with lower body injuries who had reduced running volume (N = 41) were stratified into groups using State Trait Anxiety Inventory (STAI) scores: high anxiety (H-Anx; STAI ≥40 points) and low anxiety (L-Anx; STAI <40 points). Runners were followed through rehabilitation to return-to-run using monthly surveys. Main outcome measures included kinesiophobia (Tampa Scale of Kinesiophobia, TSK-11), Positive and Negative Affect Schedule (PANAS; Positive and negative scores), Lower Extremity Function Scale (LEFS), running recovery (University of Wisconsin Running Injury and Recovery Index [UWRI]) and CDC Healthy Days modules for general health, days of anxiety/tension, disrupted sleep and work/usual activities. Running biomechanics were assessed at baseline and the final visit using 3D motion capture and a force-plated treadmill. The time to return-to-running for was 5.0±3.1 and 7.9±4.1 months for L-Anx and H-Anx, respectively and participants who withdrew (n = 15) did so at 7.7±6.2 months. L-Anx maintained low anxiety and H-Anx reduced anxiety from baseline to final visit (STAI = 31.5 to 28.4 points, 50.4 to 37.8 points, respectively), whereas the withdrawn runners remained clinically anxious at their final survey (41.5 to 40.3 points; p < .05). Group by time interactions were found for PANAS positive, LEFS UWRI, general health scores, and days feeling worry, tension and anxiety (all p < .05). Final running performance in L-Anx compared to H-Anx was most improved with cadence (8.6% vs 3.5%; p = .044), impact loading rate [-1.9% vs +8.9%] and lower body stiffness [+14.1% vs +3.2%; all p < .05). High anxiety may identify runners who will experience a longer recovery process, health-related functional disruptions, and less optimization of gait biomechanics during rehabilitation after a lower extremity injury.
... Low-certainty evidence from a single trial (320 participants) indicated a preventive effect of treadmill gait retraining (eight sessions over 2 weeks) aiming to reduce the vertical impact peak of the ground reaction force via visual biofeedback and verbal cues to 'run softer' compared with control treadmill running (RR 0.32, 95% CI 0.16 to 0.63). 49 Very low-certainty to low-certainty evidence from other RCTs indicated motion control shoes or neutral shoes, 34 graduated running programmes, [43][44][45] in person and written education on injury prevention, 50 and other multicomponent exercise therapy programmes [40][41][42] had no effect on knee injury risk (online supplemental appendicies 6A and 7A). ...
Article
Objective To evaluate the effectiveness of interventions to prevent and manage knee injuries in runners. Design Systematic review and meta-analysis. Data sources MEDLINE, EMBASE, CINAHL, Web of Science and SPORTDiscus up to May 2022. Eligibility criteria for selecting studies Randomised controlled trials (RCTs) with a primary aim of evaluating the effectiveness of intervention(s) to prevent or manage running-related knee injury. Results Thirty RCTs (18 prevention, 12 management) analysed multiple interventions in novice and recreational running populations. Low-certainty evidence (one trial, 320 participants) indicated that running technique retraining (to land softer) reduced the risk of knee injury compared with control treadmill running (risk ratio (RR) 0.32, 95% CI 0.16 to 0.63). Very low-certainty to low-certainty evidence from 17 other prevention trials (participant range: 24 –3287) indicated that various footwear options, multicomponent exercise therapy, graduated running programmes and online and in person injury prevention education programmes did not influence knee injury risk (RR range: 0.55–1.06). In runners with patellofemoral pain, very low-certainty to low-certainty evidence indicated that running technique retraining strategies, medial-wedged foot orthoses, multicomponent exercise therapy and osteopathic manipulation can reduce knee pain in the short-term (standardised mean difference range: −4.96 to −0.90). Conclusion There is low-certainty evidence that running technique retraining to land softer may reduce knee injury risk by two-thirds. Very low-certainty to low-certainty evidence suggests that running-related patellofemoral pain may be effectively managed through a variety of active (eg, running technique retraining, multicomponent exercise therapy) and passive interventions (eg, foot orthoses, osteopathic manipulation). PROSPERO registration number CRD42020150630
... Hypothetically, a stronger foot structure (stronger foot muscles and improved mechanical properties of passive tissues-tendons, ligaments and joint tissues) and the medial longitudinal arch should better dissipate excessive and cumulative loads through actively supporting changing the function of the foot from a dampener in the early stance to a spring in the late stance (Ker et al., 1987;Taddei et al., 2020a). Some studies demonstrate the benefits of strengthening the foot core muscles and, knowing the intrinsic foot muscle's role in dampening impacts and propelling the body during running (Ker et al., 1987;Kluitenberg et al., 2015;Taddei et al., 2020b), it is logical to think that these roles were also improved with this "bottom-up" training (Feltner et al., 1994;Nigg et al., 1997Nigg et al., , 2017Matias et al., 2016;Baltich et al., 2017;Mølgaard et al., 2018). Thus, we can assume that by reducing shock, cumulative load, better controlling foot-ankle motion and alignment, strengthening the foot muscles resulted in preventing the RRI in the intervention group. ...
Article
Full-text available
This study investigated the effectiveness of an 8-week foot-core exercise training program on foot-ankle kinematics during running and also on running kinetics (impact loads), with particular interest in biomechanical outcomes considered risk factors for running-related injuries in recreational runners. A single-blind, randomized, controlled trial was conducted with 87 recreational runners randomly allocated to either the control (CG) or intervention (IG) group and assessed at baseline and after 8 weeks. The IG underwent foot-core training 3 times/week, while the CG followed a placebo lower-limb stretching protocol. The participants ran on a force-instrumented treadmill at a self-selected speed while foot-segment motion was captured simultaneously with kinetic measurements. After the intervention, there were statistically significant changed in foot biomechanics, such as: IG participants strike the ground with a more inverted calcaneus and a less dorsiflexed midfoot than those in the CG; at midstance, ran with a less plantarflexed and more adducted forefoot and a more abducted hallux; and at push-off, ran with a less dorsiflexed midfoot and a less adducted and more dorsiflexed hallux. The IG runners also had significantly decreased medial longitudinal arch excursion (p = 0.024) and increased rearfoot inversion (p = 0.037). The 8-week foot-core exercise program had no effect on impact (p = 0.129) and breaking forces (p = 0.934) or on vertical loading rate (p = 0.537), but it was positively effective in changing foot-ankle kinematic patterns.”
... sports practice.(Baltich et al., 2016;Parra-Camacho et al., 2019;Van Hooren et al., 2019) Scientific evidence has linked running with a number of physiological improvements associated with health indicators, being an important component of an active lifestyle, with great potential for improving the overall physiological well being(Kok, & Reynolds, 2017;Marson et al., 2016;Pe ...
Article
Full-text available
Introduction: Running has proved to be one of the most popular physical activity with great benefits for the population health and psychological well being. However, it is also an activity with high discontinuity rates. Objective: The present study aimed was to verify if there are differences in the motivational dimensions by sex in a group of Brazilian amateur runners. Methods: Two hundred Brazilian runners (33.95 ± 11.38 years old), being 91 women and 109 men, answered The Inventory of Motivation to Regular Physical Activity and Sport (IMPRAFE-54). All volunteers practiced running on a regular basis. All participants answered the questionnaires before starting the training session. Results: The dimensions Pleasure and Health; Aesthetics, Sociability and Stress Control; and Competitiveness respectively were more important for the runners. It was found a significant difference (p<0.05), with a higher mean for men, on Sociability dimension. The dimensions statistically higher were Pleasure and Health, with a very similar motivational perception for both sexes. Only the Sociability dimension showed significant difference between men and women. All values of Mean’s Rank were superior in the men runners. Conclusions: The reasons for the practice of running between men and women Brazilian runners are similar. Only the Sociability dimension showed a significant difference by sex, indicating a higher perception of this dimension among men. Pleasure and Health were the most important factor in both sexes of Brazilian runners.
Article
Full-text available
Background: Lower-limb running injuries are common. Running shoes have been proposed as one means of reducing injury risk. However, there is uncertainty as to how effective running shoes are for the prevention of injury. It is also unclear how the effects of different characteristics of running shoes prevent injury. Objectives: To assess the effects (benefits and harms) of running shoes for preventing lower-limb running injuries in adult runners. Search methods: We searched the following databases: CENTRAL, MEDLINE, Embase, AMED, CINAHL Plus and SPORTDiscus plus trial registers WHO ICTRP and ClinicalTrials.gov. We also searched additional sources for published and unpublished trials. The date of the search was June 2021. Selection criteria: We included randomised controlled trials (RCTs) and quasi-RCTs involving runners or military personnel in basic training that either compared a) a running shoe with a non-running shoe; b) different types of running shoes (minimalist, neutral/cushioned, motion control, stability, soft midsole, hard midsole); or c) footwear recommended and selected on foot posture versus footwear not recommended and not selected on foot posture for preventing lower-limb running injuries. Our primary outcomes were number of people sustaining a lower-limb running injury and number of lower-limb running injuries. Our secondary outcomes were number of runners who failed to return to running or their previous level of running, runner satisfaction with footwear, adverse events other than musculoskeletal injuries, and number of runners requiring hospital admission or surgery, or both, for musculoskeletal injury or adverse event. Data collection and analysis: Two review authors independently assessed study eligibility and performed data extraction and risk of bias assessment. The certainty of the included evidence was assessed using GRADE methodology. Main results: We included 12 trials in the analysis which included a total of 11,240 participants, in trials that lasted from 6 to 26 weeks and were carried out in North America, Europe, Australia and South Africa. Most of the evidence was low or very low certainty as it was not possible to blind runners to their allocated running shoe, there was variation in the definition of an injury and characteristics of footwear, and there were too few studies for most comparisons. We did not find any trials that compared running shoes with non-running shoes. Neutral/cushioned versus minimalist (5 studies, 766 participants) Neutral/cushioned shoes may make little or no difference to the number of runners sustaining a lower-limb running injuries when compared with minimalist shoes (low-certainty evidence) (risk ratio (RR) 0.77, 95% confidence interval (CI) 0.59 to 1.01). One trial reported that 67% and 92% of runners were satisfied with their neutral/cushioned or minimalist running shoes, respectively (RR 0.73, 95% CI 0.47 to 1.12). Another trial reported mean satisfaction scores ranged from 4.0 to 4.3 in the neutral/ cushioned group and 3.6 to 3.9 in the minimalist running shoe group out of a total of 5. Hence neutral/cushioned running shoes may make little or no difference to runner satisfaction with footwear (low-certainty evidence). Motion control versus neutral / cushioned (2 studies, 421 participants) It is uncertain whether or not motion control shoes reduce the number of runners sustaining a lower-limb running injuries when compared with neutral / cushioned shoes because the quality of the evidence has been assessed as very low certainty (RR 0.92, 95% CI 0.30 to 2.81). Soft midsole versus hard midsole (2 studies, 1095 participants) Soft midsole shoes may make little or no difference to the number of runners sustaining a lower-limb running injuries when compared with hard midsole shoes (low-certainty of evidence) (RR 0.82, 95% CI 0.61 to 1.10). Stability versus neutral / cushioned (1 study, 57 participants) It is uncertain whether or not stability shoes reduce the number of runners sustaining a lower-limb running injuries when compared with neutral/cushioned shoes because the quality of the evidence has been assessed as very low certainty (RR 0.49, 95% CI 0.18 to 1.31). Motion control versus stability (1 study, 56 participants) It is uncertain whether or not motion control shoes reduce the number of runners sustaining a lower-limb running injuries when compared with stability shoes because the quality of the evidence has been assessed as very low certainty (RR 3.47, 95% CI 1.43 to 8.40). Running shoes prescribed and selected on foot posture (3 studies, 7203 participants) There was no evidence that running shoes prescribed based on static foot posture reduced the number of injuries compared with those who received a shoe not prescribed based on foot posture in military recruits (Rate Ratio 1.03, 95% CI 0.94 to 1.13). Subgroup analysis confirmed these findings were consistent between males and females. Therefore, prescribing running shoes and selecting on foot posture probably makes little or no difference to lower-limb running injuries (moderate-certainty evidence). Data were not available for all other review outcomes. Authors' conclusions: Most evidence demonstrates no reduction in lower-limb running injuries in adults when comparing different types of running shoes. Overall, the certainty of the evidence determining whether different types of running shoes influence running injury rates was very low to low, and as such we are uncertain as to the true effects of different types of running shoes upon injury rates. There is no evidence that prescribing footwear based on foot type reduces running-related lower-limb injures in adults. The evidence for this comparison was rated as moderate and as such we can have more certainty when interpreting these findings. However, all three trials included in this comparison used military populations and as such the findings may differ in recreational runners. Future researchers should develop a consensus definition of running shoe design to help standardise classification. The definition of a running injury should also be used consistently and confirmed via health practitioners. More researchers should consider a RCT design to increase the evidence in this area. Lastly, future work should look to explore the influence of different types or running shoes upon injury rates in specific subgroups.
Article
Full-text available
Background: Running carries the risk of several types of running-related injuries (RRIs), especially in the lower limbs. The variety of risk factors and the lack of strong evidence for several of these injury risks hinder the ability to draw assertive conclusions about them, hampering the implementation of effective preventive strategies. Because the etiology of RRIs seems to be multifactorial, the presence of RRI risk factors might influence the outcome of therapeutic strategies in different ways. Thus, further investigations on how risk and protective factors influence the incidence and prevention of RRIs should be conducted. Purpose: To investigate the predictive effect of well-known risk factors and 1 protective factor-foot-core training-on the incidence of lower limb RRIs in recreational runners. Study design: Cohort study; Level of evidence, 2. Methods: Middle- and long-distance recreational runners (N = 118) were assessed at baseline and randomly allocated to either an intervention group (n = 57) or a control group (n = 61). The intervention group underwent an 8-week (3 times/wk) foot-core training program. Participants were followed for a year after baseline assessment for the occurrence of RRIs. Logistic regression with backward elimination of variables was used to develop a model for prediction of RRI in recreational runners. Candidate predictor variables included age, sex, body mass index, years of running practice, number of races, training volume, training frequency, previous RRI, and the foot-core exercise training. Results: The final logistic regression model included 3 variables. As previously shown, the foot-core exercise program is a protective factor for RRIs (odds ratio, 0.40; 95% CI, 0.15-0.98). In addition, older age (odds ratio, 1.07; 95% CI, 1.00-1.14) and higher training volume (odds ratio, 1.02; 95% CI, 1.00-1.03) were risk factors for RRIs. Conclusion: The foot-core training was identified as a protective effect against lower limb RRI, which can be negatively influenced by older age and higher weekly training volume. The predictive model showed that RRIs should be considered a multivariate entity owing to the interaction among several factors. Registration: NCT02306148 (ClinicalTrials.gov identifier).
Article
Full-text available
Despite several consensus statements, different injury definitions are used in the literature. This study aimed to identify the impact of different injury definitions on the nature and incidence of complaints captured during a short-term running program for novice runners. Prospective cohort study. 1696 participants completed weekly diaries on running exposure and musculoskeletal complaints during a 6-week running program. These data were used to compare six different injury definitions (presence of running-related pain, training-reduction, time-loss of one day or one week). Injuries were registered under these different definitions. Consequently incidence and the nature of complaints were compared between definitions. The different injury definitions resulted in incidences that varied between 7.5% and 58.0%, or 18.7 and 239.6 injuries per 1000h of running. The median duration of injury complaints was 4-7 days for injuries registered under a 'day definition', while complaints registered under a 'week definition' lasted 20-22 days. For running-related pain injuries the median of the maximum amount of pain was 3.0. In training-reduction and time-loss injuries these median values were scored between 5.0 and 7.0. No significant differences in anatomical locations between injuries that were registered under a 'day definition' or a 'week definition' were found. Injuries registered under a time-loss definition were located relatively more often at the knee, while complaints at the pelvis/sacrum/buttock were captured more often under a running-related pain definition. Injury definitions largely impact injury incidence. Location of injury is also affected by choice of injury definition. This stressed the need for standardized injury registration methods. Copyright © 2015 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.
Article
Full-text available
In order to implement running to promote physical activity, it is essential to quantify the extent to which running improves health. The aim was to summarise the literature on the effects of endurance running on biomedical indices of health in physically inactive adults. Electronic searches were conducted in October 2014 on PubMed, Embase, CINAHL, SPORTDiscus, PEDro, the Cochrane Library and LILACS, with no limits of date and language of publication. Randomised controlled trials (with a minimum of 8 weeks of running training) that included physically inactive but healthy adults (18-65 years) were selected. The studies needed to compare intervention (i.e. endurance running) and control (i.e. no intervention) groups. Two authors evaluated study eligibility, extracted data, and assessed risk of bias; a third author resolved any uncertainties. Random-effects meta-analyses were performed to summarise the estimates for length of training and sex. A dose-response analysis was performed with random-effects meta-regression in order to investigate the relationship between running characteristics and effect sizes. After screening 22,380 records, 49 articles were included, of which 35 were used to combine data on ten biomedical indices of health. On average the running programs were composed of 3.7 ± 0.9 sessions/week, 2.3 ± 1.0 h/week, 14.4 ± 5.4 km/week, at 60-90 % of the maximum heart rate, and lasted 21.5 ± 16.8 weeks. After 1 year of training, running was effective in reducing body mass by 3.3 kg [95 % confidence interval (CI) 4.1-2.5], body fat by 2.7 % (95 % CI 5.1-0.2), resting heart rate by 6.7 min(-1) (95 % CI 10.3-3.0) and triglycerides by 16.9 mg dl(-1) (95 % CI 28.1-5.6). Also, running significantly increased maximal oxygen uptake (VO2max) by 7.1 ml min(-1) kg(-1) (95 % CI 5.0-9.1) and high-density lipoprotein (HDL) cholesterol by 3.3 mg dl(-1) (95 % CI 1.2-5.4). No significant effect was found for lean body mass, body mass index, total cholesterol and low-density lipoprotein cholesterol after 1 year of training. In the dose-response analysis, larger effect sizes were found for longer length of training. It was only possible to combine the data of ten out the 161 outcome measures identified. Lack of information on training characteristics precluded a multivariate model in the dose-response analysis. Endurance running was effective in providing substantial beneficial effects on body mass, body fat, resting heart rate, VO2max, triglycerides and HDL cholesterol in physically inactive adults. The longer the length of training, the larger the achieved health benefits. Clinicians and health authorities can use this information to advise individuals to run, and to support policies towards investing in running programs.
Article
Full-text available
No systematic review has identified the incidence of running-related injuries per 1000 h of running in different types of runners. The purpose of the present review was to systematically search the literature for the incidence of running-related injuries per 1000 h of running in different types of runners, and to include the data in meta-analyses. A search of the PubMed, Scopus, SPORTDiscus, PEDro and Web of Science databases was conducted. Titles, abstracts, and full-text articles were screened by two blinded reviewers to identify prospective cohort studies and randomized controlled trials reporting the incidence of running-related injuries in novice runners, recreational runners, ultra-marathon runners, and track and field athletes. Data were extracted from all studies and comprised for further analysis. An adapted scale was applied to assess the risk of bias. After screening 815 abstracts, 13 original articles were included in the main analysis. Running-related injuries per 1000 h of running ranged from a minimum of 2.5 in a study of long-distance track and field athletes to a maximum of 33.0 in a study of novice runners. The meta-analyses revealed a weighted injury incidence of 17.8 (95 % confidence interval [CI] 16.7-19.1) in novice runners and 7.7 (95 % CI 6.9-8.7) in recreational runners. Heterogeneity in definitions of injury, definition of type of runner, and outcome measures in the included full-text articles challenged comparison across studies. Novice runners seem to face a significantly greater risk of injury per 1000 h of running than recreational runners.
Article
Full-text available
Dynamic knee valgus and internal femoral rotation are proposed to be contributory risk factors for patellofemoral pain and anterior cruciate ligament injuries. Multimodal interventions including hip abductor strengthening or functional motor control programmes have a positive impact of pain, however their effect on knee kinematics and muscle strength is less clear. The aim of this study was to examine the effect of isolated hip abductor strengthening and a functional motor control exercise on knee kinematics and hip abductor strength. This prospective, randomised, repeated measures design included 29 asymptomatic volunteers presenting with increase knee valgus and femoral internal rotation. Participants completed either isolated hip abductor strengthening or a functional motor control exercise for 5 weeks. Knee kinematics were measured using inertial sensors during 2 functional activities and hip abductor strength measured using a load cell during isometric hip abduction. There were no significant differences in dynamic knee valgus and internal rotation following the isolated hip abductor or functional motor control intervention, and no significant differences between the groups for knee angles. Despite this, the actual magnitude of reduction in valgus was 10° and 5° for the functional motor control group and strengthening group respectively. The actual magnitude of reduction in internal rotation was 9° and 18° for the functional motor control group and strengthening group respectively. Therefore there was a tendency towards clinically significant improvements in knee kinematics in both exercise groups. A statistically significant improvement in hip abductor strength was evident for the functional motor control group (27% increase; p = 0.008) and strengthening group (35% increase; p = 0.009) with no significant difference between the groups being identified (p = 0.475). Isolated hip strengthening and functional motor control exercises resulted in non-statistically significant changes in knee kinematics, however there was a clear trend towards clinically meaningful reductions in valgus and internal rotation. Both groups demonstrated similar significant gains in hip abductor strength suggesting either approach could be used to strengthen the hip abductors.
Article
Full-text available
Many runners suffer from injuries. No information on high-risk populations is available so far though. The aims of this study were to systematically review injury proportions in different populations of runners and to compare injury locations between these populations. An electronic search with no date restrictions was conducted up to February 2014 in the PubMed, Embase, SPORTDiscus and Web of Science databases. The search was limited to original articles written in English. The reference lists of the included articles were checked for potentially relevant studies. Studies were eligible when the proportion of running injuries was reported and the participants belonged to one or more homogeneous populations of runners that were clearly described. Study selection was conducted by two independent reviewers, and disagreements were resolved in a consensus meeting. Details of the study design, population of runners, sample size, injury definition, method of injury assessment, number of injuries and injury locations were extracted from the articles. The risk of bias was assessed with a scale consisting of eight items, which was specifically developed for studies focusing on musculoskeletal complaints. A total of 86 articles were included in this review. Where possible, injury proportions were pooled for each identified population of runners, using a random-effects model. Injury proportions were affected by injury definitions and durations of follow-up. Large differences between populations existed. The number of medical-attention injuries during an event was small for most populations of runners, except for ultra-marathon runners, in which the pooled estimate was 65.6 %. Time-loss injury proportions between different populations of runners ranged from 3.2 % in cross-country runners to 84.9 % in novice runners. Overall, the proportions were highest among short-distance track runners and ultra-marathon runners. The results were pooled by stratification of studies according to the population, injury definition and follow-up/recall period; however, heterogeneity was high. Large differences in injury proportions between different populations of runners existed. Injury proportions were affected by the duration of follow-up. A U-shaped pattern between the running distance and the time-loss injury proportion seemed to exist. Future prospective studies of injury surveillance are highly recommended to take running exposure and censoring into account.
Article
Full-text available
Patellofemoral pain syndrome (PFPS), also known as Anterior Knee Pain, is a common cause of recurrent or chronic knee pain. The etiology is considered to be multifactorial but is not completely understood. At the current time the leading theory is that pathomechanics in the patellofemoral joint leads to PFPS. Traditionally, conservative treatment has focused on improving strength and timing in the quadriceps muscles. In recent years, evidence has been accumulating to support the importance of hip control and strengthening in PFPS. Two recent studies have shown promising results for hip strengthening as an isolated treatment for PFPS. The aim of this randomised contolled trial (RCT) is to compare isolated hip strengthening to traditional quadriceps-based training and a control group with free physical activity. An observer-blinded RCT will be performed. We intend to include 150 patients aged 16-40 years, referred from primary care practitioners to the department of Physical Medicine and Rehabilitation in Kristiansand, Norway for PFPS with more than three months duration. Patients meeting the inclusion criteria will be randomised using opaque sequentially numbered sealed envelopes to one of three groups: isolated hip strengthening, quadriceps based training, or a control group (free physical activity). All groups will receive standardized information about PFPS formulated with the intention to minimize fear avoidance and encourage self-mastery of symptoms. Standardized exercises will be performed under supervision of a study physiotherapist once per week in addition to home training two times per week for a total of six weeks. The primary outcome measure will be the Anterior Knee Pain Score (AKPS) at three and 12 months. Secondary outcome measures will include Visual analogue scale (VAS) for pain, hip abductor and quadriceps strength, the generic EuroQol (EQ-5D), Hopkins Symptom Checklist (HSCL), Knee self-efficacy score and Tampa score for Kinesiophobia. This trial will help to elucidate the role of hip and quadriceps strengthening in the treatment of PFPS. Information as to the role of anxiety and depression, kinesiophobia and self-efficacy will be collected, also as regards prognosis and response to exercise therapy. ClinicalTrials.gov reference: NCT02114294 .
Article
Context: Hip-muscle weakness might be associated with impaired biomechanics and postures that contribute to lower extremity injuries. Objective: To examine relationships between hip-muscle strength, Q angle, and foot pronation. Design: Correlational study. Setting: Academic laboratory. Participants: 33 healthy adults. Main Outcome Measures: Maximal isometric hip abduction (Abd), adduction (Add), external-rotation (ER) and internal-rotation (IR) strength; Q angle of the knee; and longitudinal arch angle of the foot. We analyzed Pearson product-moment (r) correlation coefficients between the Abd/Add and ER/IR force ratios, Q angle, and longitudinal arch angle. Results: The hip Abd/Add force ratio was correlated with longitudinal arch angle (r = .35, P = .025). Conclusions: Reduced strength of the hip abductors relative to adductors is associated with increased pronation at the foot. Clinicians should be aware of this relationship when examining patients with lower extremity impairments.
Article
• This prospective study of 583 habitual runners used baseline information to examine the relationship of several suspected risk factors to the occurrence of running-related injuries of the lower extremities that were severe enough to affect running habits, cause a visit to a health professional, or require use of medication. During the 12-month follow-up period, 252 men (52%) and 48 women (49%) reported at least one such injury. The multiple logistic regression results identified that running 64.0 km (40 miles) or more per week was the most important predictor of injury for men during the follow-up period (odds ratio=2.9). Risk also was associated with having had a previous injury in the past year (odds ratio = 2.7) and with having been a runner for less than 3 years (odds ratio=2.2). These results suggest that the incidence of lower-extremity injuries is high for habitual runners, and that for those new to running or those who have been previously injured, reducing weekly distance is a reasonable preventive behavior.(Arch Intern Med. 1989;149:2565-2568)
Article
Background: Risk factors have been proposed for running injuries including (a) reduced muscular strength, (b) excessive joint movements and (c) excessive joint moments in the frontal and transverse planes. To date, many running injury prevention programs have focused on a "top down" approach to strengthen the hip musculature in the attempt to reduce movements and moments at the hip, knee, and/or ankle joints. However, running mechanics did not change when hip muscle strength increased. It could be speculated that emphasis should be placed on increasing the strength of the ankle joint for a "ground up" approach. Strengthening of the large and small muscles crossing the ankle joint is assumed to change the force distribution for these muscles and to increase the use of smaller muscles. This would be associated with a reduction of joint and insertion forces, which could have a beneficial effect on injury prevention. However, training of the ankle joint as an injury prevention strategy has not been studied. Ankle strengthening techniques include isolated strengthening or movement-related strengthening such as functional balance training. There is little knowledge about the efficacy of such training programs on strength alteration, gait or injury reduction. Methods: Novice runners will be randomly assigned to one of three groups: an isolated ankle strengthening group (strength, n = 40), a functional balance training group (balance, n = 40) or an activity-matched control group (control, n = 40). Isokinetic strength will be measured using a Biodex System 3 dynamometer. Running kinematics and kinetics will be assessed using 3D motion analysis and a force platform. Postural control will be assessed by quantifying the magnitude and temporal structure of the center of pressure trace during single leg stance on a force platform. The change pre- and post-training in isokinetic strength and postural control variables will be compared following the interventions. Injuries rates will be compared between groups over 6 months. Discussion: Avoiding injury will allow individuals to enjoy the benefits of participating in aerobic activities and reduce the healthcare costs associated with running injuries.