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Original Article
doi: 10.16926/par.2020.08.09
The efficacy of Self Determination Theory-based
interventions in increasing students’ physical activity:
A systematic review
Ignatius Darma Juwono12ABCD , Attila Szabo1AD
1ELTE Eötvös Loránd University, Budapest, Hungary
2Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
Authors' Contribution: A – Study Design, B – Data Collection, C – Statistical Analysis, D – Manuscri pt Preparation, E – Funds Collection
____________ ______________________________________________ ________ _____________________________________________ ______________________________________________ ____
Abstract
Recent studies suggest that students fail to meet the international guidelines for physical activity.
Therefore, an increased number of physical activity interventions attempt to change this trend. The
current paper reviews the intervention studies which were based on the Self-Determination Theory
(SDT). Three databases (PsycINFO, Medline, and SPORTDiscus) were scrutinized in the current review,
which yielded 437 potential articles. Employing the recommended selection based on the population,
intervention, comparators, and outcome (PICO), 14 articles could be included in the narrative analysis.
The results showed that interventions based on the SDT were very heterogeneously operationalized in
these studies. Despite different interventions, the results suggest that SDT-based interventions have
the potential to increase students’ physical activity through both, autonomy and supportive
environment. Teachers’ professional development in implementing SDT-based physical activity
interventions for students is highly recommended.
Keywords: active living; exercise; health; learning; school
____________ ______________________________________________ ________ _____________________________________________ ______________________________________________ ____
Address for correspondence: Attila Szabo, Institute of Health Promotion and Sport Sciences, Faculty of
Education and Psychology, ELTE Eötvös Loránd University Budapest, Hungary, e-mail: szabo.attila@ppk.elte.hu
Recevied: 23.11.2019; Accepted: 16.12.2019; Published online: 6.05.2020
____________ ______________________________________________ ________ _____________________________________________ ______________________________________________ ____
Cite this article as: Juwono I, Szabo A. The efficacy of Self Determination Theory-based interventions in
increasing students’ physical activity: A systematic review. Phys Activ Rev 2020; 8(1): 74-86. doi:
10.16926/par.2020.08.09
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INTRODUCTION
We live in an increasingly sedentary world [1-3]. The Statistical data from World Health
Organization (WHO
) revealed that nearly 30% of the adult population is physically inactive [3]. This
segment of the population could be at higher risk for mortality rates related to diabetes,
cardiovascular diseases, and other non-infectious diseases.
Education can play a role in increasing physical activity. Through physical education (PE)
courses, extracurricular activities, and sports events at primary, secondary, or tertiary level, schooling
can help students to regulate their physical activity so that they can be intrinsically motivated to also
exercise in adulthood. However, recent studies showed that students at different levels are also
showing signs of insufficient physical activity [1-3]. It is estimated that around 80% of the adolescents
(11-17 years old) are not meeting the WHO’s recommendation of 60 minutes of moderate-to-vigorous
physical activity (MVPA) per day [1-2].
With a growing concern on how to increase students’ physical activity several intervention
studies were carried out. Studies examining university students were summarised in two systematic
reviews [4-5], which concluded that not all intervention are effective in increasing physical activity
level. However, these reviews were limited to university students’ and none of them focused on a
theoretically driven intervention.
Physical activity interventions developed from theoretical frameworks are often considered to
be more effective in changing the behaviour [6-7]. One of theoretical frameworks that has been used to
explain exercise and other health behaviours is the Self-Determination Theory (SDT).
The SDT is a macro theory about motivation [8-10]. According to the theory, human behaviour
is either intrinsically or externally motivated. Intrinsic motivation is the impetus for doing a behaviour
for the internal reasons [11]. According to SDT the intrinsic motivation is related to three basic needs:
autonomy (the need to have the feeling of owning the behaviour), competence (the need to have a
sense of mastery in the behaviour), and relatedness (the need to be connected with those who have
similar interest). These needs can either be facilitated or thwarted by the environment. People can
move within the intrinsic-extrinsic motivation continuum, depending on the environment. Individuals
can show more intrinsic motivation in an autonomy supportive environment, whereas a more
controlling environment would result in a more extrinsic motivation. In this regard, SDT can be
described as a motivation theory having a dynamic organismic nature that integrates both
intrapersonal factors (i.e. personal goals, basic needs) and interpersonal and environmental factors
[11].
In the context of health behaviours, there were studies that used SDT approach to increase
physical activity and found that SDT-based interventions are effective in changing behaviour in health
settings [12]. Two systematic reviews by Ng and colleagues [9] Teixeira and colleagues [10] revealed
that SDT is a viable framework for interventions aimed at increasing physical activity. The SDT is said
to perform better in understanding why some individuals were responsive to interventions (and as a
result easier to change the negative behaviours) than others [9-10, 13]. However, to the authors’ best
knowledge, no systematic review exists on SDT-based intervention aimed at increasing students’
physical activity. Previous intervention studies were either not theory-driven or were based on other
theories (i.e. social-cognitive theory, transtheoretical theory), and/or were limited to university
student populations.
Physical Education (PE) in primary and secondary schools are mandatory for most schools
[11]. The PE course offers a unique chance where PE teachers can help students to internalize their
motivation for exercise. Hence once they reach university level (or graduate from university), where
physical education is no longer mandatory, they might be motivated to stay active. The PE teachers
who instructed their class in an autonomy supportive way could affect students’ basic needs
satisfaction which later affect their physical activity level [11]. Despite the fact that an increasing
number of studies implement SDT-based intervention to increase students physical activity, the
effectiveness of these interventions was not evaluated to date.
The aim of the current paper is to systematically review intervention studies based on the SDT
aimed at increasing students’ physical activity. The current work complements the earlier systematic
reviews which were limited to a university student population. Schools, through PE and
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extracurricular activities offer chance for researchers and practitioners to influence student’s
motivation for exercise. Therefore, studies performed in this milieu should also be evaluated with
special focus on the factors that promote intrinsic motivation.
METHODS
The current review follows Preferred Reporting Items for Systematic Reviews and Meta-analysis
(PRISMA) guidelines [14-16]. The search is delimited to articles published in English.
Eligibility Criteria
Studies inclusion criteria were:
1. Original academic articles published in peer reviewed journals.
2. The studies employ SDT-based intervention(s).
3. Selection of the studies is based on Population Intervention, Comparison, and Outcome (PICO)
standard [14]:
a. P (population): students of any level education (primary, secondary, and university) of
any socioeconomic status.
b. I (intervention): the intervention aimed at promoting physical activity must be based
on the SDT.
c. C (comparison): the study must involve and intervention and a control group.
d. O (Output): the studies need to report physical activity level. The physical activity can
be objectively measured (e.g. accelerometer or pedometer data) or subjectively
measured or graded performance by assessors. If no physical activity reported, the
study will be excluded. Articles that report only protocols of intervention will be
excluded.
Since the aim of current systematic review is to summarize efficacy of SDT-based interventions
to increase students’ physical activity, only intervention studies that report physical activity level of
students are included here. Protocol report, reviews, or correlational studies will be excluded from the
result.
Search Strategy
The search was done by examining research articles from three electronic databases
(SPORTDiscus, PubMed/Medline, and PsycINFO). A combination of keywords related to the theory
(SDT), population of interest (student) and context (physical activity) were utilized under a Boolean
logic-commands. The results were sorted by relevance. Other than searching through the databases,
the authors also looked at the references in previous systematic reviews and articles from a website
(www.selfdeterminationtheory.org). The search strategy is outlined in the Table 1.
Table 1. Search strategies used in current review.
Search Strategy Items
Details
Used keywords
Combination of two from the following:
-
Self-determination theory OR related constructs (e.g.
autonomous motivation or intrinsic motivation)
-
Physical activit* OR exercise* OR Sport
- Student*
Searched databases
PubMed/MEDLINE, Sportdiscus, and PsycINFO
Time filter
none
Language filter
English only
Document type filter
Articles in peer-reviewed journals
Inclusion criteria
Original article complying to the established PICO
Exclusion criteria
Reviews, Dissertation, Technical papers
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Data Extraction and Analysis
The resulting selected studies are summarized and describe the authors, countries where the
study took place, study design, characteristics of participants (education level, sex, age), and PA
measure. Characteristics of the interventions employed is also summarized: duration of intervention,
type of intervention, and target of population.
Data from the articles is analysed by the type of interventions. Each type of intervention is
described in more detail. Potential impact of the intervention is reported on the analysis. Narrative
analysis and synthesis is used to summarize the findings.
Risk of Bias Assessment
The studies included here were evaluated with Risk of Bias (RoB) 2.0. The RoB 2.0 is a tool for
evaluating the bias from selected studies in a systematic review. The RoB 2.0 assesses five potential
domains of bias source: (1) bias due to randomization process, (2) bias due to deviations from
intended intervention, (3) missing outcome data, (4) bias in measurement of outcome, and (5) bias of
selective reporting in results [17-19]. It can be used for randomized parallel-group trials, cluster-
randomized parallel-group trials, and randomized cross-over trials and other matched designs. The
five domains used different signalling questions that can be answered “Yes”, “Probably Yes”, “Probably
No”, “No”, and “No Information.” Based on answers to the signalling questions, the bias will be rated
“low concern”, “some concern” or “high risk of bias”.
Since three studies included here are not randomized controlled trials, the authors used
different bias evaluation tool for the three studies. The Risk of Bias in Non-Randomized Studies of
Intervention (ROBINS-I) is similar to the RoB 2.0. However, the ROBINS-I is specifically used for non-
randomized intervention studies. ROBINS-I evaluates studies in 7 domains: (1) confounding variables,
(2) selection of participation bias, (3) classification of intervention bias, (4) deviations from intended
intervention bias, (5) missing data, (6) measurement outcome bias, and (7) selective reporting bias
[20]. These domains were evaluated by answering signalling questions. Depending on the answers to
the signalling questions, the overall risk of bias was categorized into “low risk”, “moderate risk”,
“serious risk”, “critical risk”, or “no information.”
RESULTS
Through the search of the three databases, 371 potential articles were identified for the current
systematic review. Additional search from Google Scholar, references of previous systematic review,
and self-determination theory website (www.selfdeterminationtheory.org) found 66 more articles as
potentially includable in the review, resulting in a total of 437 articles. Of this total, 88 duplicates were
removed.
The remaining 349 articles’ were screened by their titles and abstracts. Ensuing, 261 articles
were removed because they were not in accord to the inclusion criteria (i.e. not focusing on physical
activity, not intervention studies). The remaining 88 potential studies needed further assessment. Of
the 88 articles, 64 were removed because they were either not intervention studies (n = 20), or not
using the SDT as framework for the adopted intervention (n = 44), or no physical activity
measurement was reported (n = 10). Consequently, 14 articles could be included for the qualitative
synthesis in the current review. The search result is depicted in Figure 1.
Characteristics of the Included Studies
The included studies are presented in numerical order in Table 2 and cited according to their
number in the subsequent text. Of the 14 articles, two articles reported the same intervention study
from two different perspectives [21-22]. Therefore, these two articles are treated as one study.
Three of the studies were RCT studies (study 1, 7, 9), seven were cluster RCT studies (study 3,
4, 6, 10, 11, 12, 13), and three were quasi-experimental design (study 2, 5, 8). The studies had large
variation in terms o
f the sample size, ranging from 43 in one study to 1806 participants in another
study.
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Figure 1. Article selection process for the current review. Based on Liberati et al. (2009)
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Table 2. Summary of included articles.
No
Authors Country
Study
design Context
Number of
partici pants
(student s)
Total
Attrition
Sex of
Particip ants Groupings
Mean Age of
Particip ants
(SD)
PA
Outcome
Measure
1
Vansteenkiste,
et al (2004)
Belgium
RCT
S-Sch
224
NR
MF
4 (EG1-
4)
NR
GP
FC-B
2
Wilson, et al
(2005)
US
Quasi-
experiment
P-Sch
48
NR
MF
2 (EG-
CG)
EG = 11
(0.6)
CG = 11
(0.7)
Obj-PA
3
Chatzisarantis,
et al (2009)
UK
Cluster
RCT
S-Sch
235
20
MF
2 (EG-
CG)
TS = 14.84
(0.48)
SR-PA
4
Lonsdale, et al
(2013)
Australia
Cluster
RCT
P-Sch
288
43
MF
4 (EG1-3,
CG)
TS =13.6
(SD not
reported)
Obj-PA
5
Pardo, et al
(2014)
Spain
Quasi
experiment
S-Sch
682
NR
MF
2 (EG,
CG)
NR
Obj-PA
6
Smith, et al
(2014)
Australia
Cluster
RCT
S-Sch
361
68
M
2 (EG-
CG)
TS = 12.7
(0.5)
Obj-PA
7 Peng, et al
(2015) US RCT Uv 127 6 MF 4 (EG1-3,
CG)
EG1 =
20.32
(1.19)
EG2 =
20.26
(1.44)
EG3 =
20.00
(1.73)
CG = 20.13
(1.48)
Obj-PA
8
Wang, et al
(2015)
Singapore
Quasi
experiment
Uv
62
NR
MF
4 (EG1-3,
CG)
22.3 (1.51)
SR-PA
9
Sylvester, et al
(2016)
UK
RCT
Uv
144
23
MF
2 (EG-
CG)
F = 20.87
(3.09)
M = 21.88
(3.57)
SR-PA
10
Ha, et al (2017)
Hongkong
Cluster
RCT
S-Sch
767
36
MF
2 (EG-
CG)
TS = 14.38
(1.07)
Obj-PA
11
Hankonen, et al
(2017)
Finland
Cluster
RCT
S-Sch
43
28
MF
2 (EG-
CG)
NR
Obj-PA
12
Lonsdale, et al
(2017)
Australia
Cluster
RCT
S-Sch
1806
385
MF
2 (EG-
CG)
EG = 12.96
(0.56)
CG = 12.90
(0.52)
Obj-PA
13
Escriva-
Boulley, et al
(2018)
French
Cluster
RCT
P-Sch
293
0
MF
2 (EG-
CG)
TS = 8.31
(1.13)
Obj-PA
RCT - randomized controlled trial; Cluster RCT - cluster randomized controlled trial; S-Sch - secondary school;
P-Sch - primary school; Uv - University; NR - not reported; MF - male & female; M - male; F - female;
EG - experimental group(s); CG - control group; TS - total sample; GP - graded performance; FC-B - free choice
behavior; Obj-PA - objectively measured physical activity; SR-PA - self-report physical activity
The studies also targeted students’ physical activity at different education levels. Three studies
targeted physical activity level in primary school (2, 4, 13), six studies focused on secondary school
students (1, 3, 5, 6, 10, 11, 12), and three studies focused on university students (7, 8, 9). The studies
also employed different physical activity measurements. Nine studies used objective measurement (i.e.
using accelerometer) (2, 4, 5, 6, 7, 10, 11, 12, 13). Another three studies collected self-reported data to
measure physical activity (3, 8, 9) and one study used physical education teachers’ grade of
performance in physical activity (1).
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Table 3. Summary of intervention used in the current review.
No.
Authors
Target Intervention
Intervention
Intervention
Provider
Duration
Stu
Teac
Sch
Adm
Sch
Comm
Tra
Pra
EP
Res
Teac
Pro
1
Vansteenkiste, et al (2004)
✓
✓
✓
1 wk
2
Wilson, et al (2005)
✓
✓
✓
4 wk
3
Chatzisarantis, et al (2009)
✓
✓
✓
✓
10 wk
4
Lonsdale, et al (2013)
✓
✓
✓
✓
✓
8 wk
5
Pardo, et al (2014)
✓
✓
✓
✓
✓
✓
✓
✓
3 yr
6
Smith, et al (2014)
✓
✓
✓
✓
✓
✓
✓
✓
✓
✓
8 mo
7
Peng, et al (2015)
✓
✓
✓
4 wk
8
Wang, et al (2015)
✓
✓
✓
12 wk
9
Sylvester, et al (2016)
✓
✓
✓
6 wk
10
Ha, et al (2017)
✓
✓
✓
✓
✓
3 mo
11
Hankonen, et al (2017)
✓
✓
✓
✓
✓
6 mo
12
Lonsdale, et al (2017)
✓
✓
✓
✓
✓
15 mo
13
Escriva-Boulley, et al (2018)
✓
✓
✓
✓
✓
10 mo
St - students; Teac - teachers; Sch-Adm - school administrators; Sch comm - school community; Tra - training;
Pra - practice; EP - equipment provision; Res - researchers
The reviewed studies differ in the intervention targets, form of intervention, and duration of
the intervention. The duration of the interventions varied from one-week (1) to three years (5). All
studies examined students’ physical activity, but six studies also looked at teachers’, school
administrators’, and parents’ behaviour which encourage students’ physical activity (3, 4, 5, 6, 10, 11).
To increase students’ physical activity, three studies provided training for the students directly (1, 2,
3) while the other 10 studies arranged training and practice for the students or teachers (4, 5, 6, 7, 8, 9,
10, 11, 12, 13). One study also provided exercise equipment for the school to help increasing students’
activity level (6). Summary of the different intervention for the studies is presented in Table 3.
Risks of Bias
Assessment of bias from the randomized control trials included here showed that eight studies
showed low overall risk of bias. These studies appropriately randomized participants into different
treatments, ensured intervention fidelity, overcame potential bias from missing outcome data, used
unbiased measures toward a specific group, and reported the findings in a holistic manner. Two
studies had some concern of bias. These two studies had little information on how the randomization
was performed, resulting in some concern whether the randomization was appropriate. Summary of
the RoB 2.0 for the 10 randomized trials are presented in Table 4.
The remaining quasi experimental studies included in the review showed higher potential risk
of bias compared to the randomized trials. These studies might potentially suffer from bias related to
confounding variables. They do not consider the possible confound in data analysis. Unlike the
randomized trials, these studies do not try to estimate the participants’ missing data impact on the
overall outcome. In general, these quasi experimental studies seemed to have more potential biases.
Hence, the interpretation of their result should be cautious. The result of ROBINS-I of the quasi
experiment studies is summarized in Table 5.
Efficacy of Different SDT-based Interventions
While the included studies were based on the SDT, they adopted different intervention
techniques described in some detail below.
Effect of Written Text Material Bounded in Self-determination Framework
Vansteenkiste and colleagues conducted research that focused on whether PE class material
that is framed in accord with the self-determination approach would impact physical activity
behaviour of the students [23]. The researchers manipulated the written description of planned
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physical activity. In one condition they read the benefits which reflect intrinsic (autonomous) goals,
while in the other they read benefits associated with extrinsic (heteronomous) goals. The study also
manipulated teachers’ instruction to reflect autonomy in supportive or controlling manner.
Result of the study revealed that participants exposed to intrinsically motivating information
showed better physical exercise performance as graded by a blinded assessor [23]. Further analysis
revealed that the teachers’ instruction (autonomy supportive or controlling) had larger effect on the
graded performance and free choice behaviour compared to the written course material.
Effects of Student Training
Two studies used training for students as intervention [24-25]. Wilson and colleagues used an
afterschool program for inactive students [24]. The intervention focused on improving snacking
behaviour as well as increasing physical activity. Students were asked to come up with physical
activities they would like to do themselves. The study revealed that compared to control group (who
were given standard physical activity curriculum), participants in the experimental groups showed
greater increase in the moderate physical activity (MPA), moderate-to-vigorous physical activity
(MVPA), and Vigorous Physical Activity (VPA) levels. However, this pattern only occurred in program
days. On other days, there were no differences between the groups.
Similar to the above study, Sylvester and colleagues conducted a study where the participants
were allowed to make their own choices of the exercise they would like to do [25]. In this study,
university students were randomly assigned to a condition where they performed fitness training in a
variety situations (did similar exercises but with different techniques in different sessions) and low
variety situation (similar technique for each session). The analysis showed that there were differences
in exercise adherence and exercise behaviour between groups. The participants in the high variety
exercise condition reported significantly higher exercise behaviour and adherence to exercise
schedule.
Table 4. Risk of bias evaluation of randomized controlled trials in the current review.
Authors
Domain 1:
Randomization
Proc ess
Domain 2:
Deviation of
intended
intervention
Domain 3:
Missing
outcomes
Domain 4:
Measurement
of the outcome
Domain 5:
Selective
reporting
Overall
Bias
Vansteenkiste, et al
(2004)
High
Low
Low
Low
Low
Some
concern
Peng, et al (2015)
Low
Low
Low
Low
Low
Low
concern
Sylvester, et al (2016)
Low
Low
Low
Low
Low
Low
concern
Chatzisarantis, et al
(2009)
Low
Low
Low
Low
Low
Low
concern
Lonsdale, et al (2013)
Low
Low
Low
Low
Low
Low
concern
Smith, et al (2014)
Low
Low
Low
Low
Low
Low
concern
Ha, et al (2017)
Low
Low
Low
Low
Low
Low
concern
Hankonen, et al (2017)
Low
Low
Low
Low
Low
Low
concern
Lonsdale, et al (2017)
Some concern
Low
Low
Low
Low
Some
concern
Escriva, et al (2018)
Low
Low
Low
Low
Low
Low
concern
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Table 5. Risk of bias evaluation of quasi-experimental studies in the current review.
Authors Bias due to
confounding
Bias in
Selection of
Participants
Bias in
Classification
of Intervention
Bias due to
deviation of
intended
intervention
Bias due to
missing
data
Bias in
Measurement
outcome
Bias in the
selective
reporting
Overall
Bias
Wilson, et al
(2005)
Moderate
Low
Low
Low
Moderate
Moderate
Low
Moderate
Pardo, et al
(2014)
Moderate
Low
Moderate
No
information
No
Information
Moderate
Low
Moderate
Wang, et al
(2015)
Serious
No
Information
No information
Low
Low
Moderate
Low
Moderate
Effects of Teacher Training
Chatzisarantis and Hagger examined how teacher interpersonal behaviours impact students’
physical activity [26]. Ten teachers were randomly assigned to treatment and control conditions. In
the treatment condition the teachers were taught how to provide rationale for physical activity,
positive feedback, and how to acknowledge students’ difficulties in physical activity with the aim to
boost autonomy support in students. These behaviours were the SDT concepts’ application in real life
situation. In control condition, the teachers were simply asked to provide rationale for engaging in
physical activity. The results showed that students who were taught in an autonomy-supportive
manner reported more leisure time physical activity than those in the control group.
In another research, teachers were randomly assigned to four training conditions: 1) rationale
condition, 2) fixed choices condition, 3) free choices condition, and 4) practice as usual condition [27].
The first three groups reflected the SDT. In the rationale condition, the teachers were asked to explain
students the activity they are going to do in the beginning of physical education session. In the fixed
choice condition, the teachers were asked to provide students with options they can choose from. The
free choice condition required teachers to let the students decide on their own the exercise they want
to do. The results showed that only the free choice condition increased leisure time physical activity
and reduced sedentary behaviour. Providing a rationale and options from which students can choose
did not impact leisure time physical activity.
Similar results, to the previous study, were found in another research [28]. In this study 101
physical education (PE) teachers were randomly assigned to treatment condition or control condition.
In treatment condition, teachers were given a professional development program prior to an academic
year so that they can meet students’ basic psychological needs that later influence their exercise
behaviour. Analysis of difference between students in the experimental and control groups favoured
the former. At the end of the intervention, measures based on accelerometer data revealed that the
intervention group had 5% higher leisure time physical activity level than the control group. There
was a decrease in the difference between the groups in the follow up sessions, but the intervention
group still outperformed the control group.
Another study that focused on teacher training impact on students’ physical activity was
conducted by Escriva-Boulley and colleagues [29]. The researchers provided training for PE teachers
before and during an academic year. The teachers in the training group were given materials on how
to motivate students in their PE classes in an autonomy-supportive way. An evaluation at the end of
the academic year has revealed that students in the teachers in intervention condition improved their
MVPA level, whereas students in the control condition showed decreased MVPA compared to baseline.
Another study incorporated rope skipping for PE classes [30]. In this study, the researchers
provided PE teachers with training to integrate rope skipping for their PE classes to increase students’
physical activity. The training mimics the suggested practice for their PE classes. The results showed
that that the integration of rope skipping did not influence the physical activity level. Further analysis
indicated that the impact of rope skipping was moderated by the gender of the students. Rope skipping
did improve girls’ physical activity, but had no impact on boys’ physical activity level.
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The Effect of Whole School Approach
Two studies reported whole school approach that used multiple intervention strategies to
increase students’ physical activity [22, 31]. In a study conducted in Spain, an integrated intervention
that used curricular and extracurricular activities was evaluated [31]. The curricular activities include
training the PE teachers and a weekly tutorial on the implementation plans. The extracurricular
activities included information dissemination for the broader schools’ community (parents and other
teachers), as well as arranging events and programs to increase students’ physical activity. An
evaluation of the approach performed three years later, revealed that the schools in treatment
condition showed significantly higher MVPA level.
A similar study was conducted by Smith and colleagues [22]. The study used a wide array of
interventions: from teacher development program, dissemination of information to parents, seminars
for students, arranging sport sessions within the participating schools, mentoring, the utilization of
pedometer, and development of internet-based application to increase physical activity in obese boys
coming from lower socioeconomic status. The study reported mixed results. Analysis of the pedometer
data showed that the intervention had no impact on the overall level of physical activity. However, the
participants showed improved fitness skills (i.e. upper body muscular strength and resistance training
skills).
The Impact of Technology Assisted Intervention
With the growing use of internet and social media, two studies integrated the used of social
media or internet-based application in their intervention for physical activity [32-33]. A study
conducted by Peng and colleagues focused on the impact of features of gaming that has features
resembling application of SDT [32]. The game itself was an active video game (AVG) which required
players to move their controller to advance in the game. When comparing participants who played the
game with SDT-based features turned on and off, it was found that participants playing with the SDT-
based features had greater attendance at playing games and, subsequently, had greater MVPA because
of their higher frequency in moving while playing the AVG.
Another study tried to integrate the use of social media in the intervention [33]. This study
compared participants in: (a) 3 hours physical activity intervention group, (b) 3 hours physical activity
intervention group who were connected through a Facebook group, (c) 1-hour physical activity
intervention group who were connected through a Facebook group, and (d) a control group. The
results showed that the two 3-hours physical activity intervention groups, whether connected or not
on the Facebook, had higher physical activity compared to the other two groups. This finding suggests
that the 3-hours physical activity intervention was responsible for the increment of physical activity
level, and the connection through the Facebook group did not have any additional effect.
DISCUSSION
The objective of the current review was to synthesize the published articles SDT based
intervention to physical education for students. The current review found 14 articles reporting 13
intervention approaches delivered to primary, secondary, and university students. Of the 13 studies,
11 reported that the SDT-based interventions had a positive effect on physical activity. This finding
agrees with previous systematic review on SDT-based intervention [9-10] that were carried out on
mixed samples. It appears that the SDT-based interventions are effective in improving physical activity
level in students of different age.
Despite differences in the operationalization of the SDT intervention, the studies seemed to
indicate that perception of teachers’ interpersonal style impact subsequent students’ exercise
behaviour [23-24, 26, 29, 35-36]. Simply explaining the rationale and the importance of physical
activity is not enough in inducing changes in the level of physical activity [27, 30, 33]. Teachers’ who
provide rationale of the exercise as well as provide positive feedback, and acknowledge students’
difficulty to remain active will be perceived as more autonomy supportive and facilitate the basic need
satisfaction. The result of this perception can influence students’ activity level.
Such findings support the previous claims that autonomy support would influence students’
basic psychological needs satisfaction, which will lead to more autonomous motivation in doing
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exercise regularly [11, 37]. However, this issue should be investigated more thoroughly, because some
questions remain open. For example, how long the effects of teachers’ autonomy support could last? As
one study included here, indicated that after the intervention stopped, there were reduction in
students’ physical activity, though it was still significantly higher than at baseline. Longitudinal studies
that follow students’ exercise behaviour while transitioning into adulthood are necessary.
Another question begging for elucidation is how the teachers should interact with students
during the PE classes so that they could provide support for autonomy? It seems that merely
implementing one strategy (providing rationale only or choices only) is not enough to induce changes
in students’ physical activity. The SDT application should be used concurrently. It is recommended
that teachers provide rationale, give students opportunities to generate their own options, and
provide feedback as well as acknowledge students’ difficulty during the process [24-25]. These joint
actions could facilitate the internalization of physical activity.
Further, educating teachers on the concept of motivation in the SDT framework is important.
Providing teachers with trainings and workshops, as well as monitoring their progress while giving
feedback in an academic year should be endorsed. Such an intervention should not be limited to PE
teachers only, but also to teachers and administrators, which would lead to an overall better learning
climate in the school as a whole, not just in PE classes.
This review followed the suggestions of a previous review which proposed that theoretical
based intervention evaluation should concentrate on which interventions are effective, for whom are
they effective, and under what circumstances are they effective [34]. Specifically, this systematic
review revealed SDT-based interventions that are effective in increasing students’ physical activity
level.
Despite the reviews contribution to supporting the SDT-based interventions’ efficacy in
increasing physical activity in students, the work has some limitations too. One is related to the
inclusion of a few studies which used multi-interventions (e.g. providing physical activity equipment
for school at low socio-economic neighbourhood) [24, 29, 31, 35]. The integration of multifaceted
intervention creates difficulty in drawing specific conclusions concerning the SDT-based intervention’s
effectiveness. A second limitation (out of the authors’ control) is that the studies included here were
conducted in economically developed countries (i.e. US, UK, Australia, Singapore, Hongkong). These
countries may have more policies and infrastructures that facilitate physical activity. Hence, more
research are needed in this area, especially in developing countries.
CONCLUSION
There is strong support for SDT-based interventions’ positive impact of the physical activity
level of students at different levels of education. Providing teachers and administrators with training
on SDT and its implementation might be beneficial in increasing students’ physical activity as well as
overall learning climate.
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