Prevalence and factors contributing to musculoskeletal disorder among garage worker in Malaysia

Shukriah, A; Baba, Mineko; Jaharah, A. G.

doi:10.4314/jfas.v9i5s.73

Cited by 5 publications

(18 citation statements)

References 1 publication

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“…Not having professional training, moving loads of greater than 20 kg, repetitive tasks, force exertion, and job stress were significantly associated with the prevalence of WMSDs. e 47.7% annual prevalence of WMSDs obtained in this study was lower than the annual prevalence of WMSD reported in studies conducted in Malaysia (87.4%), India (58%), and Bangladesh (77%) [13,15,16]. A comparison of this finding with the findings of other surveys in musculoskeletal epidemiology should take into account the differences in epidemiologic case definitions that may exist among the different studies.…”

Section: Prevalence Of Work-related Musculoskeletal Disorderscontrasting

confidence: 63%

“…e final sample size for objective one was 188 vehicle repair workers. Considering a 10% nonresponse rate, the final sample size was 207. e sample size for the second objective was obtained by using a double population formula using factors that had strong associations with the outcome of interest in other literatures [15]. Finally, the largest sample size obtained was the one calculated for the second objective (n � 306) and thus used as a final sample size of the study.…”

Section: Methodsmentioning

confidence: 99%

“…Nonetheless, further investigation on the prevalence of WMSDs was only performed for the annual prevalence. In this study, annual prevalence was preferred because it was an appropriate time scale similarly practiced in prior works and was the most commonly used approach as an outcome in other epidemiological MSD studies [6,[13][14][15]24]. e quality of data was ensured in various ways.…”

Section: Methodsmentioning

confidence: 99%

“…WMSD prevalence rates show that vehicle repair work is among the highest risk professions [6,12]. Studies demonstrate a prevalence of 85% and 58% in India [13,14], 92% in Malaysia [15], and 77% in Bangladesh [16].…”

Section: Introductionmentioning

confidence: 99%

“…In many of these WMSD studies, a variety of risk factors have been identified and the cause is multifactorial in origin. In particular, individual, psychosocial, ergonomic, and work environment factors have been identified as contributing agents to the worsening of musculoskeletal disorders [6,[12][13][14][15]. e global automotive repair and maintenance service industry is expected to grow by double digits during 2018-2022.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Musculoskeletal Disorders and Associated Factors among Vehicle Repair Workers in Hawassa City, Southern Ethiopia

Tamene¹,

Mulugeta

Abebe

et al. 2020

Journal of Environmental and Public Health

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Background. Vehicle repair work is one of the highest risk professions for work-related musculoskeletal disorders. Globally, only a few published studies have examined the prevalence and determinants of work-related musculoskeletal disorders among vehicle repair workers. Related studies in Ethiopia are even fewer. This study aimed to determine the prevalence of self-reported work-related musculoskeletal disorders and associated factors among vehicle repair workers in Hawassa city, South Ethiopia, 2019. Methods. An institution-based cross-sectional study was conducted among 344 vehicle repair workers in the Hawassa city. The Nordic Musculoskeletal Questionnaire-Extended (NMQ-E) was used to assess work-related musculoskeletal disorders on nine body regions. Descriptive statistics and multivariable analyses were used to characterize the data and identify factors associated with work-related musculoskeletal disorders. Result. The twelve-month prevalence of work-related musculoskeletal disorders among this working group was 47.7% with 95% CI (42.7–53.2). Jobs continuously requiring repetitive motions (AOR: 4.29, 95% CI (1.78–10.2)), not having professional training (AOR: 2.04, 95% CI (1.09–3.81)), force exertion when using tools (AOR: 2.40, 95% CI (1.24–4.62)), job stress (AOR:4.54, 95% CI (2.44–8.46)), and regularly lifting, pushing, and pulling loads greater than 20 kg (AOR:4.85, 95% CI (2.65–8.87)) were identified as associated factors. Conclusion. This study showed a 47.7% prevalence of work-related musculoskeletal disorders. Force exertion, repetitive tasks, manual handling of heavy loads, stress, and lack of training were the identified factors. Ergonomic awareness among workers should be increased through training. In addition, owners should investigate methods to reduce or eliminate risk factors leading to musculoskeletal disorders found among these workers. Automation of high-risk tasks should also be investigated.

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Section: Prevalence Of Work-related Musculoskeletal Disorderscontrasting

confidence: 63%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Musculoskeletal Disorders and Associated Factors among Vehicle Repair Workers in Hawassa City, Southern Ethiopia

Tamene¹,

Mulugeta

Abebe

et al. 2020

Journal of Environmental and Public Health

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A Literature Review on Occupational Musculoskeletal Disorder (MSD) Among Industrial Workers in Malaysia

Isa

Omar

Salleh

et al. 2021

Lecture Notes in Mechanical Engineering

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Workplace stress and associated factors among vehicle repair workers in Hawassa City, Southern Ethiopia

Mulugeta

Tamene²,

Abebe

et al. 2021

PLoS ONE

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Introduction Workplace stress is a public health problem worldwide. Studies focusing on work-related stress among vehicle repair workers are scarce in African countries. The current study aimed to determine the prevalence of self-reported workplace stress and associated factors among vehicle repair workers in Hawassa City, South Ethiopia. Methods and findings A cross-sectional study design was employed among 347 vehicle repair workers from January 25 to February 22, 2019. Questionnaires were administered using interviews. Additional tools were used for weight and height measurements. The main findings were analyzed using descriptive statistics, bivariable, and multivariable logistic regression. The strength of association of variables was presented by odds ratio along with its 95% CI. The statistical assessments were considered significant at p<0.05. A total of 344 workers participated in the study. The prevalence of workplace stress among participants was 41.6% with 95% CI: (36.3–47.1). Factors associated with workplace stress were more than 10 years of work experience [AOR: 2.40; 95% CI (1.29–4.50)], work-related musculoskeletal disorder [AOR: 3.39; 95% CI (1.99–5.78)], squatting and lying work posture [AOR: 4.63; 95% CI (1.61–13.3)] and servicing large vehicles [AOR: 1.96; 95% CI (1.14–3.38)]. Conclusion and recommendations This study showed that the overall prevalence of work-related stress was substantially high. The independently associated factors were workers’ service years, symptoms of body pain, and the work environment. Preventive measures need to be implemented in vehicle repair workshops by focusing on work environment improvements.

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Prevalence and factors contributing to musculoskeletal disorder among garage worker in Malaysia

Cited by 5 publications

References 1 publication

Musculoskeletal Disorders and Associated Factors among Vehicle Repair Workers in Hawassa City, Southern Ethiopia

Musculoskeletal Disorders and Associated Factors among Vehicle Repair Workers in Hawassa City, Southern Ethiopia

A Literature Review on Occupational Musculoskeletal Disorder (MSD) Among Industrial Workers in Malaysia

Workplace stress and associated factors among vehicle repair workers in Hawassa City, Southern Ethiopia

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