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The aim of the present study was to determine the prevalence of low back pain (LBP) in industrial workers, check for possible LBP related risk factors and investigate the associations between physical activity and severity of low back pain. We conducted a cross-sectional study among 430 workers of an industrial company over the previous 12 months. The industrial workers were given questionnaires and assigned to two groups: (1) with low back pain, (2) without low back pain. Group 1 was then divided into three subgroups according to the answer to question (a) LBP without irradiation, called mild cases, (b) LBP with irradiation above the knee, called moderate cases, LBP with the irradiation below the knee, called severe cases. LBP was found in 61.6% of workers. The prevalence of LBP was significantly associated with physical activity (p = 0.03). There was a significant difference between frequent physical activity and severity of LBP (p = 0.01). Work-related physical factors showed strong associations with LBP. The main risk factors for low back pain among production workers were extreme trunk flexion (OR = 3.5, 95% CI 1.7-7.3), as well as lifting of loads (OR = 3.5, 95% CI 1.9-6.2), pushing or pulling heavy loads (OR = 3.5, 95% CI 1.9-6.2) and exposure to whole body vibration (OR = 1.7, 95% CI 1.0 -3.0). Daily life conditions, job-related factors are associated with the occurrence of low back pain. These results suggest that individuals with LBP should avoid nonspecific physical activities to reduce pain and improve psychological health.
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68
Folia Medica 2011; 53(3): 68-74
Copyright © 2010 Medical University Plovdiv
doi: 10.2478/v10153-011-0060-3
Correspondence and reprint request to: A. Murtezani, Physical Medicine and Rehabilitation Clinic, University
Clinical Center of Kosovo; E-mail: ardianaa@yahoo.com
rr. Spitalit pn. 10000 Prishtina, Republic of Kosovo
Received 25 May 2011; Accepted for publication 7 July 2011
PREVALENCE AND RISK FACTORS FOR LOW BACK PAIN IN INDUSTRIAL
WORKERS
Ardiana Murtezani, Zana Ibraimi
1
, Sabit Sllamniku
2
, Teuta Osmani, Seven Sheri
1
Physical Medicine and Rehabilitation Clinic, University Clinical Center of Kosovo
1
Department of Phar-
macy, Faculty of Medicine, University of Kosovo,
2
Orthopedic and Traumatic Clinic, University Clinical
Center of Kosovo, Republic of Kosovo
ABSTRACT
O
BJECTIVES: The aim of the present study was to determine the prevalence of low back pain
(LBP) in industrial workers, check for possible LBP related risk factors and investigate the
associations between physical activity and severity of low back pain.
M
ETHODS: We conducted a cross-sectional study among 430 workers of an industrial com-
pany over the previous 12 months. The industrial workers were given questionnaires and
assigned to two groups: (1) with low back pain, (2) without low back pain. Group 1 was
then divided into three subgroups according to the answer to question (a) LBP without
irradiation, called mild cases, (b) LBP with irradiation above the knee, called moderate
cases, LBP with the irradiation below the knee, called severe cases.
R
ESULTS: LBP was found in 61.6% of workers. The prevalence of LBP was signi cantly
associated with physical activity (p = 0.03). There was a signi cant difference between
frequent physical activity and severity of LBP (p = 0.01). Work-related physical factors
showed strong associations with LBP. The main risk factors for low back pain among pro-
duction workers were extreme trunk exion (OR = 3.5, 95% CI 1.7-7.3), as well as lifting
of loads (OR = 3.5, 95% CI 1.9-6.2), pushing or pulling heavy loads (OR = 3.5, 95% CI 1.9-
6.2) and exposure to whole body vibration (OR = 1.7, 95% CI 1.0 -3.0).
C
ONCLUSION: Daily life conditions, job-related factors are associated with the occurrence
of low back pain. These results suggest that individuals with LBP should avoid nonspeci c
physical activities to reduce pain and improve psychological health.
Key words: low back pain, work-related, physical risk factors, physical activity
INTRODUCTION
Low back pain (LBP) is one of the most signi cant
medical and socioeconomic problems in modern
society.
1
The main predictors of back pain include
physical stress (e.g., prolonged lifting, driving,
forceful or repetitive movements involving the
back), psychosocial stress (e.g., highly perceived
workload and time pressure, low control and lack
of social support at work, personal characteristics
such psychological status and tobacco use), and
physical characteristics (e.g., obesity and height).
2
LBP prevalence is related to the type of oc-
cupations such as driving, manual handling and
occupations that involve a lot of improper body
movements.
3
Work-related physical exposures, especially heavy
lifting and manual materials handling, working in
awkward postures, and whole-body vibration, are
well established risk factors for LBP.
3,4
Personal
health factors, such as smoking, overweight, and
lack of physical activity, are often listed among the
most important risk factors for LBP, but the scienti c
evidence is surprisingly vague and inconsistent.
4
Low back syndrome, although self-limiting in
most cases, leads in a small percentage of patients
to chronic problems that can be very costly to
manage, and those cases that resolve are prone to
recurrence at a rate of up to 90%.
5
Over a third
of the handicap burden may be linked to environ-
mental and psychosocial factors.
6
Primary care treatment of chronic LBP is as-
sociated with modest or no improvement.
7
Exercise
PUBLIC HEALTH CARE
Prevalence and Risk Factors for Low Back Pain in Industrial Workers
69
Folia Medica 2011; 53(3): 68-74
© 2011 Medical University Plovdiv
therapy is a management strategy that is widely used
as a treatment for LBP.
8
The theoretical arguments
against bed rest and for the management of back
pain by activity have been reviewed elsewhere.
9,10
Multiple trials show that advice to stay active and
to continue ordinary activity as normally as pos-
sible is likely to give faster return to work, less
chronic disability, and fewer recurrent problems.
9
The aim of this study was to determine the
prevalence of low back complaints in industrial
workers, to assess occupational risk factors related
to the presence of LBP and investigate the associa-
tions between physical activity and severity of LBP.
MATERIAL AND METHODS
STUDY DESIGN AND DATA COLLECTION
A cross-sectional study design was utilized. Self-
administered questionnaires were distributed among
the recruited industrial workers. They answered to the
questions under the guidance of research assistants.
S
TUDY POPULATION
The job titles were categorized into blue-collar
workers (production workers) and white-collar
workers (of ce workers and managers). Seven main
occupational groups representing those who perform
similar work under similar working conditions were
identi ed as follows; drilling, blasting, mucking/
loading, tramming, rock-breaking, supervisory, and
engineering. These occupations are directly related
to the production and are therefore involved in
prolonged standing, twisting and turning, lifting
of heavy loads. In this study, physical load was
assessed by detailed observations at the workplace
among a random sample of workers within each
occupational group. The categories of trunk exion
that were observed were de ned as neutral (< 30°),
mild exion (30-60°), extreme exion (60-90°), and
very extreme exion (> 90°).
We created two groups according to the answer
to question (1) without LBP, (2) with LBP. Group
two was then divided into three subgroups according
to the answer to question (a) LBP without irradia-
tion, called mild cases, (b) LBP with irradiation
above the knee, (c) LBP with irradiation below
the knee, called serious cases.
Physical exercise (walking, bicycling, swimming,
etc, weekly during the preceding year), at least 20
minutes per session, classi ed as 1 = everyday, 2
= 2-3 times/week, 3 = not at all.
Q
UESTIONNAIRE SURVEY
The participants completed a self-administered
questionnaire at their workplace. The rst questions
described the worker and his work station according
to known risk indicators: sex, age, weight, height,
smoking habits, duration of employment, physi-
cal activity pro le, regular physical exercise, and
manual lifting of weights, uncomfortable working
positions, and means to achieve good quality work.
The main items of interest in the questionnaire were
experience of LBP within the past 12 months, the
severity of pain, and whether or not it was work
related. During the past year have you experienced
low back problems (back ache, pain, discomfort)?
If the answer was negative, no further questions
were completed. If the answer was yes, the oc-
cupational physician asked another questions: pain
with or without radiation, pain referred above or
below the knee.
ELIGIBILITY CRITERIA
Inclusion criteria were age from 18-65 years, willing
and able to give informed consent. Workers with
occupational or non-occupational accidents affect-
ing the lower back were excluded from the study.
E
THICAL CLEARANCE
The study was approved by the Ethic Committee
of the Faculty of Medicine, University of Kosovo.
S
TATISTICAL ANALYSIS
The dependent variable adopted in this study was
the presence or absence of LBP, in order to estimate
the prevalence of LBP in industrial workers. In the
statistical analysis differences between normally
distributed continuous variables were tested with
the Student t-test and differences between categori-
cal variables with the chi-square test (χ
2
). For the
continuous data, Mann-Whitney U test were applied.
Univariate logistic regression models were used
to compute adjusted relative risk (RR) and their
95% con dence intervals (95% CI) for the various
symptoms and causes of, with LBP as the dependent
variable. Wald statistics were used to estimate the
95% con dence intervals around the RR. Statistical
analysis was performed with SPSS 13.0 software.
A p value < 0.05 was considered signi cant.
RESULTS
During the two months of data collection, 489 work-
ers were interviewed and 59 refused to participate.
So 430 questionnaires were completed. The response
rate of the questionnaire was 87.9%.
Table 1 summarizes the personal details of the
workers who participated in the study. Altogether
subjects worked in white collar occupations, and
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A. Murtezani, et al
Folia Medica 2011; 53(3): 68-74
© 2011 Medical University Plovdiv
in blue collar jobs. Of the 430 workers evalu-
ated, 256 (61.6%) presented with LBP, while 165
(38.4%) did not have LBP. The prevalence of LBP
was signi cantly associated with physical activity
(p = 0.03).
The associations between the physical activity
and the severity of LBP are shown in Table 2. The
severity of LBP was signi cantly correlated with
regular physical exercise. There was a signi cant
association between physical activity and severity of
LBP (p < 0.01). Of the 265 subjects of LBP, 112
(42.3%) had mild pain, 58 (21.9%) had moderate
pain and 95 (35.8%) had severe pain.
The number of workers with LBP among the
white and blue collar workers according to the
work-related physical risk factors are shown in
Table 3.
Table 4 presents the results from multiple logistic
regression analysis as related to risk factors. Trunk
exion was a risk factor for occurrence of low
back pain among production workers. Among blue
collar workers with mild and extreme trunk exion
the RR for LBP increases 2.6 and 3.5 compared
to neutral trunk exion.
As risk factors for occurrence of low back pain
among production workers were lifting of loads.
Lifting < 25 kg, and > 25 kg increases the
RR
for LBP 2.9, and 3.5 time respectively compared
Table 1. Characteristics of the study sample
Group with LBP
n = 265
Group without LBP
n = 165
P (t-test)
Mean ± SD Mean ± SD
Age (yrs) 47.95 ± 9.05 48.03 ± 8.85 0.928
Weight (kg) 78.40 ± 10.61 77.69 ± 9.79 0.487
Height (cm) 174.54 ± 6.70 174.81 ± 5.40 0.622
Time in job (yrs) 21.56 ± 9.80 21.76 ± 9.53 0.835
Educational level n (%) n (%)
Basic 59 (22.3) 28 (17.0)
0.399Technical 178 (67.2) 117 (70.9)
Higher 28 (10.6) 20 (12.1)
Physical activity n (%) n (%)
Every day 26 (9.8) 26 (15.8)
0.033
2-3 days per week 112 (42.3) 79 (47.9)
Never 127 (47.9) 60 (36.4)
Smoking n (%) n (%)
Yes 109 (41.1) 67 (40.6)
0.994
No 156 (58.9) 98 (59.4)
Table 2. Associations between the physical activity and the severity of LBP
LPB
Physical activity
Mild
n = 112
Moderate
n = 58
Severe
n = 95
Total
n = 265
n (%) n (%) n (%) n (%)
Every day 18 (16.1) 5 (8.6) 3 (3.2) 26 (9.8)
2-3 day on week 50 (44.6) 27 (46.6) 35 (36.8) 112 (42.3)
Never 44 (39.3) 26 (44.8) 57 (60.0) 127 (47.9)
P < 0.01
Prevalence and Risk Factors for Low Back Pain in Industrial Workers
71
Folia Medica 2011; 53(3): 68-74
© 2011 Medical University Plovdiv
Table 3. Number of workers with LBP among the white and blue collar workers according to the work-related
physical risk factors
Risk factor Category
White collar workers (n = 54) Blue collar workers (n = 376)
LBP LBP
Yes No Total Yes No Total
Trunk exion
Neutral 14 9 23 15 24 39
Mild 17 14 31 109 68 177
Extreme 0 0 0 105 48 153
Very extreme 0 0 0 5 2 7
Lifting of loads
No lifting 25 20 45 52 67 119
Lifting < 25 kg 6 3 9 112 49 161
Lifting > 25 kg 0 0 0 70 26 96
Pushing or pulling
heavy loads
No 29 22 51 91 71 162
< 1 time/hour 1 1 2 107 51 158
> 1 time/hour 1 0 1 36 20 56
Exposure to whole body
vibration
No 24 19 43 178 120 298
Yes 7 4 11 56 22 78
Static work postures
No 12 8 20 167 92 259
Yes 19 15 3 4 67 50 117
Ability to change
posture regularly
No 11 10 21 28 25 53
Yes 20 13 33 206 117 323
to no lifting conditions.
With the same signi cance as risk factors for
occurrence of low back pain among production
workers were pushing or pulling heavy loads.
Pushing or pulling heavy loads < 1 time/hour and
> 1 time/hour increases the odds for LBP 2.9, and
3.5 time respectively compared to no pushing or
pulling conditions.
Exposure to whole body vibration was the
signi cant risk factor for occurrence of low back
pain among production workers (RR = 1.7, 95%
CI [1.0;3.0], p = 0.05).
LBP in the white collar workers did not cor-
relate signi cantly with trunk exion, lifting of
loads, pushing or pulling heavy loads, exposure
to whole body vibration, and ability to change
posture regularly.
Mild trunk exion, lifting of loads < 25 kg,
pushing or pulling heavy loads, exposure to whole
body vibration, and ability to change posture regu-
larly did not increase signi cantly the RR for LBP
in white-collar workers.
DISCUSSION
We studied the prevalence of LBP among industrial
workers in order to describe the occurrence of
LBP. The hypothesis that was considered in this
study was that LBP would be highly prevalent in
industrial workers since they spend much of their
time in the seated position frequently twisting and
bending their torsos, are exposed to whole body
vibration, awkward postures and load lifting. The
low back pain prevalence was 61.6% among indus-
trial workers, which is consistent with most of the
epidemiological studies investigating the 12- month
LBP prevalence in workers.
3,10-13
According to the literature, manual handling of
materials, heavy physical work, frequent bending
and twisting, lifting and forceful movements are
relevant risk factors for onset of LBP.
14,15
Sitting
has been associated with risk of developing LBP.
16
No association was found between weight and
height and the prevalence rate of LBP. This is in
agreement with the ndings of other researchers.
12
There was signi cant association between physi-
cal activities with severity of low back pain in our
study population. Less activity employees had more
severe LBP than the others.
This nding is consistent with the results in
another study
13
where regarding exercising habits
only a small proportion (12.1%) of their sample
participated in regular exercise which suggests
that industrial workers are mostly non-exercising
individuals.
A review of patients with LBP considered smok-
ing and low levels of tness as risk factors of
the occurrence of LBP but found no associations
72
A. Murtezani, et al
Folia Medica 2011; 53(3): 68-74
© 2011 Medical University Plovdiv
between leisure time physical activity and LBP.
17
Some earlier studies have shown a small-to-moderate
association between higher body weight or lack of
physical exercise and LBP.
4
Multiple logistic regression models have re-
vealed that signi cant determinants for predicting
LBP occurrence are extreme trunk exion, heavy
lifting, and exposure to whole body vibration. The
occupational physical risk factors for LBP (i.e.,
awkward postures, heavy lifting, and whole body
vibration) were, as expected, signi cant predictors,
but not uniformly across all workers. Among 430
workers included in the logistic model, LBP oc-
curred signi cantly more often among blue collar
workers reporting manual material handling of
weights and uncomfortable working positions. Blue
collar workers comprise a unique occupational
group characterized by heavy physical labor with
high level of force being exerted.
As reported in other studies
11,18
, this study also
found LBP to be associated with increasing work-
place activities heavy lifting, whole body vibration
and extreme trunk exion. Risk factors of LBP
are known to include workplace activities such as
heavy load lifting, repetitive tasks and awkward
working postures, while demographic character-
istics and psychosocial factors are also known to
be important predictive variables.
12
Heavy lifting
and whole-body vibration had a relatively strong
association with LBP among the blue collar work-
ers. Extreme exion of the trunk had a modest
association with LBP among blue collar workers.
Table 4. Univariate logistic regression analysis for occurrence of LBP among the white and blue collar workers
according to the work-related physical risk factors
Rc - reference category
Risk factor Reference category
White collar workers (n = 54) Blue collar workers (n = 376)
RR 95% CI P RR 95% CI P
Trunk exion
Constant
0.9
0.3 - 2.3 0.8
0.6
0.3 - 1.2 0.2
Neutral
Rc
Trunk exion 30-60°
(mild)
1.8
0.6 - 5.9 0.3
2.6
1.3 - 5.2 0.01
Trunk exion 60-90°
(extreme)
-
--
3.5
1.7 - 7.3 < 0.001
Trunk exion > 90°
(very extreme)
-
--
4.0
0.7 - 23.0 0.1
Lifting of loads
Constant
1.3
0.7 - 2.3 0.5
0.8
0.5 - 1.1 0.2
No lifting
Rc
Lifting < 25 kg
1.6
0.4 - 7.2 0.5
2.9
1.8 - 4.8 < 0.001
Lifting > 25 kg
-
--
3.5
1.9 - 6.2 < 0.001
Pushing or pulling
heavy loads
Constant
1.32
0.76 -2.29 0.33
1.3
0.9 - 1.8 0.1
No
Rc
<1 time/hour
0.76
0.04 to 12.8 0.85
1.6
1.0 – 2.6 0.03
>1 time/hour
-
--
1.4
0.8 – 2.6 0.3
Exposure to whole
body vibration
Constant
1.3
0.7 - 2.3 0.4
1.5
1.2 - 1.9 < 0.001
No
Rc
Yes
1.4
0.4 - 5.4 0.6
1.7
1.0 - 3.0 0.05
Static work
postures
Constant
1.5
0.6 - 3.7 0.4
1.8
1.4 - 2.3 < 0.001
No
Rc
Yes
0.8
0.3 to 2.6 0.8
0.7
0.5 - 1.2 0.2
Ability to change
posture regularly
Constant
1.1
0.5 to 2.6 0.8
1.1
0.7 - 1.9 0.7
No
Rc
Yes
1.4
0.5 to 4.2 0.6
1.6
0.9 - 2.8 0.1
Prevalence and Risk Factors for Low Back Pain in Industrial Workers
73
Folia Medica 2011; 53(3): 68-74
© 2011 Medical University Plovdiv
Considering the European de nition of manual
handling of materials, this relation is exactly what
should be expected: manual handling of materials
is de ned as any transporting or supporting of a
load, by one or more workers, including lifting,
lowering, pushing, pulling, carrying, or moving of
a load, which by reasons of unfavorable ergonomic
conditions, involves a risk particularly of back
injury to workers.
14
The ndings from the present study are in the
agreement with the results of two recent reviews
of the literature on physical risk factors for LBP,
which also showed that the evidence is strongest
for trunk exion and rotation, manual material
handling as risk factors for low back pain.
19,20
This indicates that the lower back pain problem
in the power plant company was serious and needed
resolving. Back symptoms were found to be the
most prevalent among blue collar workers. This
could be attributable to awkward working postures,
manual material handling, which were common at
almost all workstations and job activities observed.
This implies that interventional programs are neces-
sary to prevent or reduce physical exposure to the
lower back risk factors in these regions.
A particular strength of this study was that all
subjects worked in the same company and were
comparable for several factors such as cultural and
socioeconomic factors. Limitations of this study
are that psychological factors were not addressed
and thus their potential in uence on occurrence
of LBP could not be established. Future research
might include the in uence of psychological factors
on the occurrence of LBP.
CONCLUSIONS
LBP is highly prevalent in this company. Flexion
of the trunk and lifting at work are moderate risk
factors for LBP. An ergonomics interventions pro-
gram in the workplace should focus on eliminating
awkward postures, manual handling of heavy loads
and designing sitting-standing workstations on the
production line.
ACKNOWLEDGEMENT
We would like to thank Col. Joel Abramovitz, MD
(US Army MC, Neurosurgeon) for his valuable
suggestions and technical assistance.
Author Contributions:
Sllamniku was overseeing this research project, had
full access of the data in this study, meanwhile, he
takes responsibility for the integrity of the data.
Study Design: Murtezani, Osmani, Sllamniku
Instruction on the use of instruments for the outcome
measures used in this study: Murtezani, Osmani
Analysis and interpretation of data: Ibraimi, Sheri
Manuscript preparation: Murtezani, Osmani, Sl-
lamniku
Statistical Analysis: Murtezani, Ibraimi, Sheri
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БОЛИ В ЛЮМБАЛЬНОЙ ОБЛАСТИРАС -
ПРОСТРАНЕНИЕ И ФАКТОРЫ РИСКА ДЛЯ
РАБОТАЮЩИХ В ОБЛАСТИ ПРОМЫШ-
ЛЕННОСТИ
A. Murtezani, Z. Ibraimi, S. Sllamniku, T. Osmani, S. She-
ri
РЕЗЮМЕ
ЦЕЛЬ: Настоящая работа ставит себе целью
определить распространение болей в люмбальной
области и факторы риска для работающих в
промышленных предприятиях, а также и исследо-
вать связи между физической активностью и
интенситетом болей.
МЕТОДЫ: Проведено срезовое обследование 430
рабочих промышленного предприятия (период
обследования - последние 12 мес.). Рабочие получили
вопросники, после чего разделены на две группы:
группа 1 – жалующиеся на боль в нижней части
поясницы и группа 2 – без болей в области пояс-
ницы. Группа 1 в зависимости от их ответа на
вопрос о характере болей разделена еще на три
подгруппы:
Подгруппа Ажалующиеся на люмбальные боли
без иррадиации (легкие случаи);
Подгруппа Вжалующиеся на люмбальные
боли, распространяющиеся выше колена (умеренные
случаи);
Подгруппа С - жалующиеся на люмбальные боли,
иррадиирующие ниже колена (тяжелые случаи).
РЕЗУЛЬТАТЫ: Боли в люмбальной области уста-
новлены в 61.6% случаев. Распространение бо-
лей коррелирует сигнификантно с физической
активностью рабочих (р = 0.03). Установлена
также статистически сигнификантная разница
между частотой физической активности и силой
болей (р = 0.01). Сильная корреляция наблюдает-
ся и между физическими факторами, связанными
с работой и болями в люмбальной области. Ос-
новными факторами риска болей в люмбальной
области у работающих в области промышленности
являются: максимальная флексия торса (OR = 3.5,
95% CI 1.7-7.3); поднятие тяжелых грузов (OR
= 3.5, 95% CI 1.9-6.2); толкание или дергание
тяжелых грузов (OR = 3.5, 95% CI 1.9-6.2);
подставление всего тела сильным вибрациям (OR
= 1.7, 95% CI 1.0 -3.0).
ЗАКЛЮЧЕНИЕ: Появление болей в люмбальной об-
ласти связано с проведением рутинной деятель-
ностью и с деятельностью при рабочих условиях.
Результаты исследования показывают, что лица с
болями в нижней части спины следует избегать
неспецифических физических деятельностей с целью
уменьшения силы боли и улучшения своего психи-
ческого здоровья.
... Chronic back pain is a multi-factorial problem (Murtezani et al., 2011;Rabey et al., 2019). Apart from psychological and social causes (Tagliaferri et al., 2020), spinal degeneration is often associated with back pain, but it also comes with a variety of possible sources itself (Kalichman et al., 2009). ...
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Introduction: Achieving an adequate level of detail is a crucial part of any modeling process. Thus, oversimplification of complex systems can lead to overestimation, underestimation, and general bias of effects, while elaborate models run the risk of losing validity due to the uncontrolled interaction of multiple influencing factors and error propagation. Methods: We used a validated pipeline for the automated generation of multi-body models of the trunk to create 279 models based on CT data from 93 patients to investigate how different degrees of individualization affect the observed effects of different morphological characteristics on lumbar loads. Specifically, individual parameters related to spinal morphology (thoracic kyphosis (TK), lumbar lordosis (LL), and torso height (TH)), as well as torso weight (TW) and distribution, were fully or partly considered in the respective models according to their degree of individualization, and the effect strengths of these parameters on spinal loading were compared between semi- and highly individualized models. T-distributed stochastic neighbor embedding (T-SNE) analysis was performed for overarching pattern recognition and multiple regression analyses to evaluate changes in occurring effects and significance. Results: We were able to identify significant effects (p < 0.05) of various morphological parameters on lumbar loads in models with different degrees of individualization. Torso weight and lumbar lordosis showed the strongest effects on compression (β ≈ 0.9) and anterior–posterior shear forces (β ≈ 0.7), respectively. We could further show that the effect strength of individual parameters tended to decrease if more individual characteristics were included in the models. Discussion: The induced variability due to model individualization could only partly be explained by simple morphological parameters. Our study shows that model simplification can lead to an emphasis on individual effects, which needs to be critically assessed with regard to in vivo complexity. At the same time, we demonstrated that individualized models representing a population-based cohort are still able to identify relevant influences on spinal loading while considering a variety of influencing factors and their interactions.
... Chronic back pain is one of the major health issues worldwide. Though general risk factors such as occupation, obesity or anthropometric parameters could be identified in the past years [1], the specification of individual biomechanical indicators for the prediction of symptoms and chronicity is challenging, as it requires an in-depth knowledge of spinal kinematics and resulting loads. Even though experimental methods are essential to help build this knowledge, they come with limitations. ...
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Numerical models of the musculoskeletal system as investigative tools are an integral part of biomechanical and clinical research. While finite element modeling is primarily suitable for the examination of deformation states and internal stresses in flexible bodies, multibody modeling is based on the assumption of rigid bodies, that are connected via joints and flexible elements. This simplification allows the consideration of biomechanical systems from a holistic perspective and thus takes into account multiple influencing factors of mechanical loads. Being the source of major health issues worldwide, the human spine is subject to a variety of studies using these models to investigate and understand healthy and pathological biomechanics of the upper body. In this review, we summarize the current state-of-the-art literature on multibody models of the thoracolumbar spine and identify limitations and challenges related to current modeling approaches.
... Several professional sectors are exposed to high risks of LBP, such as industry, agriculture, forestry, and fisheries [23,24]. This is due to a wide range of movements being associated with the development of LBP, notably extreme trunk flexions, loads lifting, pushing or pulling, and vibrations, as well as extended vicious positions of the lumbar spine [25]. ...
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Objectives The study aims to analyze the patterns and determinants of sick leaves (SL) associated with the most common rheumatological diseases and estimate the associated productivity loss cost (PLC). Method A retrospective study reviewed all SLs that were issued from a rheumatology outpatient clinic between 2016 and 2019 for the following diagnoses: low back pain (LBP), knee osteoarthritis (OA), rheumatoid arthritis (RA), and disc disorders. The duration of each sick leave was captured and analyzed by patients' age category, gender, and diagnosis. The human capital method was used to estimate the PLC. Result One thousand and two SLs have been issued during the study period, for a cumulative 4,649 days. The majority of the patients were female (86.3%), and the mean (SD) age was 42.01 (10.71) years. SL durations ranged from 2 to 14 days. The most frequent diagnosis was RA (34.3%), followed by LBP (30.1%). Disc disorder, knee OA, and RA were independently associated with 2.01 (p=0.014), 9.07 (p<0.001), and 7.75 (p<0.001) odd ratios for long SL (≥7 days), by reference to LBP. The average PLC was estimated at 235.29perdayofsickleave,foratotalcumulativecostof235.29 per day of sick leave, for a total cumulative cost of 235,755.30. Conclusion Rheumatological diseases are responsible for approximately 4.5 days of SL prescribing per day in our clinic, with an average yearly cost of $58,938.83. Monitoring the pattern of sick leave and identifying the interplay between their cofactors are essential to developing a comprehensive approach to enable evidence-based clinical practices along with advancements in work-based protective measures and policies.
... The adjustment of the height of chair and working an optimum hour job can reduce LBP. By decreasing LBP, work efficiency can be increased [14]. Its symptoms are both idiopathic and mechanical. ...
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Doctors are health practitioners responsible for the patients’ overall health and well-being. They are at a remarkably high risk of developing a variety of occupational health conditions as a result of their workplace setting and workload. Among the many conditions of musculoskeletal issues, lower back pain (LBP) is the most prevalent. To determine the prevalence of LBP among doctors. A questionnaire was given to doctors that sought information regarding their social and demographic characteristics, job history, pattern of symptoms, frequency and severity of LBP and factors predisposing to LBP. A total of 97 doctors participated in the study. The prevalence of LBP among doctors was 51.55%. Its prevalence was higher in female doctors as compared to male doctors. Health education regarding appropriate sitting posture and correct lifting techniques can be introduced to reduce the burden of LBP among the affected population.
... Previous research has indicated that prolonged sitting could increase the risk of lower back pain. Possible mechanisms mentioned are increased intradiscal pressure stiffness of the lumbar spine and reduced strength of the lower back muscles [27,28]. However, a recent systematic review reported that poor sitting posture and lack of daily physical activities may be strong predictors of LBP caused by sitting, not only prolonged sitting [29]. ...
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... Chronic back pain is considered a major burden for patients and healthcare systems worldwide. Though general risk factors, such as occupation, obesity, or anthropometric parameters, could be identified in the past years (Murtezani et al., 2011), specification of individual indicators for the prediction of symptoms and chronicity is challenging. The invasive character of in vivo measurement via intradiscal pressure sensors (Sato et al., 1999;Wilke et al., 2001) or instrumented vertebral implants (Rohlmann et al., 2008;Dreischarf et al., 2016) makes these methods unsuitable for clinical analysis. ...
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Background: Chronic back pain is a major health problem worldwide. Although its causes can be diverse, biomechanical factors leading to spinal degeneration are considered a central issue. Numerical biomechanical models can identify critical factors and, thus, help predict impending spinal degeneration. However, spinal biomechanics are subject to significant interindividual variations. Therefore, in order to achieve meaningful findings on potential pathologies, predictive models have to take into account individual characteristics. To make these highly individualized models suitable for systematic studies on spinal biomechanics and clinical practice, the automation of data processing and modeling itself is inevitable. The purpose of this study was to validate an automatically generated patient-specific musculoskeletal model of the spine simulating static loading tasks. Methods: CT imaging data from two patients with non-degenerative spines were processed using an automated deep learning-based segmentation pipeline. In a semi-automated process with minimal user interaction, we generated patient-specific musculoskeletal models and simulated various static loading tasks. To validate the model, calculated vertebral loadings of the lumbar spine and muscle forces were compared with in vivo data from the literature. Finally, results from both models were compared to assess the potential of our process for interindividual analysis. Results: Calculated vertebral loads and muscle activation overall stood in close correlation with data from the literature. Compression forces normalized to upright standing deviated by a maximum of 16% for flexion and 33% for lifting tasks. Interindividual comparison of compression, as well as lateral and anterior–posterior shear forces, could be linked plausibly to individual spinal alignment and bodyweight. Conclusion: We developed a method to generate patient-specific musculoskeletal models of the lumbar spine. The models were able to calculate loads of the lumbar spine for static activities with respect to individual biomechanical properties, such as spinal alignment, bodyweight distribution, and ligament and muscle insertion points. The process is automated to a large extent, which makes it suitable for systematic investigation of spinal biomechanics in large datasets.
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Background The manufacturing industry, one of the largest employers of migrant workers in Taiwan, reports a high incidence of musculoskeletal disorders, particularly low back pain (LBP), among its workforce overall. Understanding the prevalence and risk factors of LBP among Indonesian migrant workers, who make up a substantial portion of this workforce, is essential for developing effective preventive programs. Methods This cross-sectional study surveyed Indonesian migrant workers in the manufacturing sector. The Indonesian version of the Oswestry Disability Index was used to assess LBP prevalence and disability levels. The chi-square test was used to evaluate the association between work-related factors and LBP outcomes. Multivariable logistic regression was used to identify the independent factors associated with LBP, adjusted for other variables. Results According to the LBP disability index, 63.14% of the participants had minimal disability, 29.80% had moderate disability, and 7.05% had severe disability. Mild trunk flexion was associated with a lower risk of LBP disability compared with neutral trunk flexion (OR [95% CI] 0.11 [0.03–0.31], p = 0.01). Among women, lifting less than 25 kg was associated with a lower risk of severe LBP compared with lifting more than 25 kg (OR [95% CI] 0.01 [0.01–0.61], p = 0.03). In men, whole-body vibration was associated with a lower risk of severe LBP compared with no vibration exposure (OR [95% CI] 0.41 [0.19–0.88], p = 0.02). Conclusion Trunk flexion, lifting, and whole-body vibration consistently emerged as significant determinants of LBP disability. More detailed assessments of these factors are necessary to clarify their associations.
Article
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Study Design. A 3-year prospective cohort study among workers of 34 companies in the Netherlands. Objectives. To investigate the relation between flexion and rotation of the trunk and lifting at work and the occurrence of low back pain. Summary of Background Data. Previous studies on work-related physical risk factors for low back pain either lacked quantification of the physical load or did not take confounding by individual and psychosocial factors into account. Methods. The study population consisted of 861 workers with no low back pain at baseline and complete data on the occurrence of low back pain during the 3-year follow-up period. Physical load at work was assessed by means of analyses of video-recordings. Information on other risk factors and the occurrence of low back pain was obtained by means of self-administered questionnaires. Results. An increased risk of low back pain was observed for workers who worked with the trunk in a minimum of 60° of flexion for more than 5% of the working time (RR 1.5, 95% CI 1.0–2.1), for workers who worked with the trunk in a minimum of 30° of rotation for more than 10% of the working time (RR 1.3, 95% CI 0.9–1.9), and for workers who lifted a load of at least 25 kg more than 15 times per working day (RR 1.6, 95% CI 1.1–2.3). Conclusions. Flexion and rotation of the trunk and lifting at work are moderate risk factors for low back pain, especially at greater levels of exposure.
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Risk factors for low-back pain are known to co-occur, but their joint effect has not often been studied. Little is also known about the variation of the risk factors or their effects with age. This prospective study assessed the 1-year incidence of low-back pain by age group in a Finnish industrial population. The effects of the baseline variables on the risk of low-back pain in the follow-up were estimated with a log-binomial regression. Among 2256 blue- and white-collar workers free of low-back pain 12 months preceding the baseline, 21% reported low-back pain after 1-year of follow-up. Physical work load (sum of heavy lifting, awkward postures, and whole-body vibration) predicted low-back pain among those younger than 50 years [highest relative risk (RR) 2.4, 95% confidence interval (95% CI) 1.4-4.2], whereas health behavior (sum of smoking, overweight, and lack of physical exercise) increased the risk only among those 50 years or older (RR up to 2.8, 95% CI 1.4-5.4). Mental stress, dissatisfaction with life, and sleep problems were significant predictors in the group of 40- to 49-year-old workers. Work-related psychosocial factors were not associated with the outcome. In this study, workers of different ages were affected by slightly different risk factors. The results support the provision of health promotion and stress management as part of programs to prevent work-related low-back pain. In particular, aging workers may benefit from such an integrated approach. More prospective studies on the joint effects of age-specific risk factors of low-back pain are warranted.
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To assess with a cross sectional study the interrelations between physical, psychosocial, and individual risk factors and different end points of low back pain. In total, 229 scaffolders and 59 supervisors completed a questionnaire about manual handling of materials, awkward back posture, strenuous arm position, perceived exertion, psychosocial load, need for recovery, and general health. Physical load at the worksite was also measured with many frequent observations. Interrelations between risk factors and their relation with four end points of low back pain were investigated. Interrelations were strong among self reported determinants of physical load but showed an inverted trend for both age and total working experience, which could indicate the presence of a healthy worker effect. Weak relations existed between variables of psychosocial and physical load. The multivariate analyses showed a significant relation between high manual handling of materials, moderate perceived general health, high job demands, and low back pain in the past 12 months. Chronic low back pain was significantly correlated with high perceived exertion and moderate perceived general health. Severe low back pain was significantly correlated with awkward back postures, high need for recovery, and high job demands. Finally, low back pain with perceived disability was significantly related to strenuous shoulder positions and moderate perceived general health. All end points of low back pain were consistently associated with physical load whereas psychosocial aspects showed a more diverse pattern. The findings of this study suggest that work related risk factors may vary according to different definitions of low back pain. Distinct patterns of risk factors might enhance different expressions of it. Scaffolders are a group at high risk of developing persistent forms of low back pain.
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This study examined predictors of low back pain onset in a British birth cohort. Univariate and multivariate analyses focused on individuals who experienced onset of low back pain at 32 to 33 years of age (n= 571) and individuals who were pain free (n = 5210). Participants were members of the 1958 British birth cohort. Incident pain was elevated among those with psychological distress at 23 years of age (adjusted odds ratio [OR] = 2.52, 95% confidence interval [CI] = 1.65, 3.86) and among persistent moderate or heavy smokers (adjusted OR = 1.63, 95% CI = 1.23, 2.17). Significant univariate associations involving other factors (e.g., social class, childhood emotional status, body mass index, job satisfaction) did not persist in multivariate analyses. This prospectively studied cohort provides evidence that psychological distress more than doubles later risk of low back pain, with smoking having a modest independent effect. Other prospective studies are needed to confirm these findings before implications for low back pain prevention can be assessed.
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To determine whether physical and psychosocial load at work influence sickness absence due to low back pain. The research was a part of the study on musculoskeletal disorders, absenteeism, stress, and health (SMASH), a 3 year prospective cohort study on risk factors for musculoskeletal disorders. Workers from 21 companies located throughout The Netherlands participated in the part of this study on sickness absence due to low back pain. The study population consisted of 732 workers with no sickness absences of 3 days or longer due to low back pain in the 3 months before the baseline survey and complete data on the reasons for absences during the follow up period. The mean (range) period of follow up in this group was 37 (7-44) months. Physical load at work was assessed by analyses of video recordings. Baseline information on psychosocial work characteristics was obtained by a questionnaire. Data on sickness absence were collected from company records. The main outcome measure was the rate of sickness absences of 3 days or longer due to low back pain during the follow up period. After adjustment of the work related physical and psychosocial factors for each other and for other potential determinants, significant rate ratios ranging from 2.0 to 3.2 were found for trunk flexion, trunk rotation, lifting, and low job satisfaction. A dose-response relation was found for trunk flexion, but not for trunk rotation or lifting. Non-significant rate ratios of about 1.4 were found for low supervisor support and low coworker support. Quantitative job demands, conflicting demands, decision authority, and skill discretion showed no relation with sickness absence due to low back pain. Flexion and rotation of the trunk, lifting, and low job satisfaction are risk factors for sickness absence due to low back pain. Some indications of a relation between low social support, either from supervisors or coworkers, and sickness absence due to low back pain are also present.
Article
Objective: To determine whether physical and psychosocial load at work influence sickness absence due to low back pain. Methods: The research was a part of the study on musculoskeletal disorders, absenteeism, stress, and health (SMASH), a 3 year prospective cohort study on risk factors for musculoskeletal disorders. Workers from 21 companies located throughout The Netherlands participated in the part of this study on sickness absence due to low back pain. The study population consisted of 732 workers with no sickness absences of 3 days or longer due to low back pain in the 3 months before the baseline survey and complete data on the reasons for absences during the follow up period. The mean (range) period of follow up in this group was 37 (7–44) months. Physical load at work was assessed by analyses of video recordings. Baseline information on psychosocial work characteristics was obtained by a questionnaire. Data on sickness absence were collected from company records. The main outcome measure was the rate of sickness absences of 3 days or longer due to low back pain during the follow up period. Results: After adjustment of the work related physical and psychosocial factors for each other and for other potential determinants, significant rate ratios ranging from 2.0 to 3.2 were found for trunk flexion, trunk rotation, lifting, and low job satisfaction. A dose-response relation was found for trunk flexion, but not for trunk rotation or lifting. Non-significant rate ratios of about 1.4 were found for low supervisor support and low coworker support. Quantitative job demands, conflicting demands, decision authority, and skill discretion showed no relation with sickness absence due to low back pain. Conclusions: Flexion and rotation of the trunk, lifting, and low job satisfaction are risk factors for sickness absence due to low back pain. Some indications of a relation between low social support, either from supervisors or coworkers, and sickness absence due to low back pain are also present.
Article
To evaluate fear, beliefs, catastrophizing and kinesiophobia in chronic low back pain patients about to begin a training programme in a rehabilitation centre. Fifty chronic low back pain patients (including both males and females) were assessed in our physical medicine department. We used validated French-language scales to score the patients' pain-related disability, quality of life and psychosocial factors. Seventy percent of the patients had a major functional disability (i.e., a Roland-Morris Scale score over 12) and nearly 73% reported an altered quality of life (the daily living score in the Dallas Pain Questionnaire). Pain correlated with functional impairment and depression but not with catastrophizing or kinesiophobia. Disability was correlated with catastrophizing and kinesiophobia. Psychosocial factors are strongly associated with disability and altered quality of life in chronic low back pain patients. Future rehabilitation programs could optimizing patient management by taking these factors into account.
Article
We present a treatment-based classification approach to the conservative management of low back syndrome. The approach has three levels of classification based on historical information, behavior of symptoms, and clinical signs. We first distinguish patients whose conservative care can be managed predominantly and independently by physical therapists versus patients who require consultation with other services (eg, psychology) or who require referral because of possible serious nonmusculoskeletal pathology. Once patients who can be managed by physical therapists are identified, the next level of classification is to stage their condition with regard to severity. We propose three stages: stage I for patients in the acute phase where the therapeutic goal is symptom relief, stage II for patients in a subacute phase where symptom relief and quick return to normal function are encouraged, and stage III for selected patients who must return to activities requiring high physical demands and who demonstrate a lack of physical conditioning necessary to perform the desired activities safely. The remainder of the article focuses on a third level of classification for stage I only in which patients are classified into distinct categories that are treatment-based and that specifically guide conservative management. The entire approach is diagnosis based, with specific algorithms and decision rules as well as examples presented.
Article
In the United Kingdom (UK), 9% of adults consult their doctor annually with back pain. The treatment recommendations are based on orthopaedic teaching, but the current management is causing increasing dissatisfaction. Many general practitioners (GPs) are confused about what constitutes effective advice. To review all randomized controlled trials of bed rest and of medical advice to stay active for acute back pain. A systematic review based on a search of MEDLINE and EMBASE from 1966 to April 1996 with complete citation tracking for randomized controlled trials of bed rest or medical advice to stay active and continue ordinary daily activities. The inclusion criteria were: primary care setting, patients with low back pain of up to 3 months duration, and patient-centred outcomes (rate of recovery from the acute attack, relief of pain, restoration of function, satisfaction with treatment, days off work and return to work, development of chronic pain and disability, recurrent attacks, and further health care use). Ten trials of bed rest and eight trials of advice to stay active were identified. Consistent findings showed that bed rest is not an effective treatment for acute low back pain but may delay recovery. Advice to stay active and to continue ordinary activities results in a faster return to work, less chronic disability, and fewer recurrent problems. A simple but fundamental change from the traditional prescription of bed rest to positive advice about staying active could improve clinical outcomes and reduce the personal and social impact of back pain.