Annals of Occupational and Environmental Medicine

Research Article

Relationship between Psychosocial Risk Factors and Work-Related Musculoskeletal Disorders among Public Hospital Nurses in Malaysia: Nur Azma Amin, Rusli Nordin, Quek Kia Fatt, Rahim M Noah, Jennifer Oxley; Ann Occup Environ Med 2014;26:23-23. Published online August 9, 2014; DOI: https://doi.org/10.1186/s40557-014-0023-2

Objective

This study examined the relationships between psychosocial work factors and risk of WRMSDs among public hospital nurses in the Klang Valley, Malaysia.

Methods

We conducted a cross-sectional study among 660 public hospital nurses. A self-administered questionnaire was used to collect data on the occurrence of WRMSDs according to body regions, socio-demographic profiles, occupational information and psychosocial risk factors. 468 questionnaires were returned (response rate of 71%), and 376 questionnaires qualified for subsequent analysis. Univariate analyses were applied to test for mean and categorical differences across the WRMSDs; multiple logistic regression was applied to predict WRMSDs based on the Job Strain Model’s psychosocial risk factors.

Results

Over two thirds of the sample of nurses experienced discomfort or pain in at least one site of the musculoskeletal system within the last year. The neck was the most prevalent site (48.94%), followed by the feet (47.20%), the upper back (40.69%) and the lower back (35.28%). More than 50% of the nurses complained of having discomfort in region one (neck, shoulders and upperback) and region four (hips, knees, ankles, and feet). The results also revealed that psychological job demands, job strain and iso-strain ratio demonstrated statistically significant mean differences (p < 0.05) between nurses with and without WRMSDs. According to univariate logistic regression, all psychosocial risk factors illustrated significant association with the occurrence of WRMSDs in various regions of the body (OR: 1.52–2.14). Multiple logistic regression showed all psychosocial risk factors were significantly associated with WRMSDs across body regions (OR: 1.03–1.19) except for region 1 (neck, shoulders and upper back) and region 4 (hips, knees, ankles, and feet). All demographic variables except for years of employment were statistically and significantly associated with WRMSDs (p < 0.05).

Conclusions

The findings indicated the high prevalence of WRMSDs in many body regions, and the risks of developing WRMSDs according to the various body regions were associated with important psychosocial risk factors based on the job strain model. These findings have implications for the management of WRMSDs among public hospital nurses in the Klang Valley, Malaysia.

Citations

Citations to this article as recorded by

Psychosocial risks of workers in the plywood industry: A cross-sectional study in the Ecuadorian Amazon region
R. Gutiérrez-Alvarez, K. Guerra, M. Gutiérrez
Heliyon.2024; 10(13): e33724. CrossRef
Magnitude of work-related musculoskeletal disorders and its associated factors among Ethiopian nurses: a facility based cross-sectional study
Amsalu Nemera, Mergitu Eliyas, Teferra Likassa, Milion Teshome, Bulti Tadesse, Yonas Gurmu Dugasa, Meseret Robi Tura
BMC Musculoskeletal Disorders.2024;[Epub] CrossRef
Development and validation of a tool for the comprehensive risk assessment of musculoskeletal disorders (CRAMUD) among employees of a steel industry
Saeid Yazdanirad, Gholamhossein Pourtaghi, Mehdi Raei, Mohammad Ghasemi
Theoretical Issues in Ergonomics Science.2023; 24(3): 335. CrossRef
Risk Factors for Musculoskeletal Disorders in Nursing Personnel and Prevention Strategies
Panagiotis Mitseas, Symeon Naoum, Theocharis Konstantinidis
Romanian Journal of Military Medicine.2023; 126(1): 63. CrossRef
Exploring the mediation role of employees’ well-being in the relationship between psychosocial factors and musculoskeletal pain during the COVID-19 pandemic
Auditya Purwandini Sutarto, Titis Wijayanto, Irma Nur Afiah
Work.2022; 71(1): 65. CrossRef
Effectiveness and Safety of Inelastic Versus Elastic Lumbosacral Orthoses on Low Back Pain Prevention in Healthy Nurses
Jianzhong Hu, Liyuan Jiang, Yong Cao, Jin Qu, Hongbin Lu
Spine.2022; 47(9): 656. CrossRef
Influence of coexposure to long working hours and ergonomic risk factors on musculoskeletal symptoms: an interaction analysis
Jeong woo Park, Mo-Yeol Kang, Jung Il Kim, JongHyun Hwang, Seong-Soo Choi, Seong-Sik Cho
BMJ Open.2022; 12(5): e055186. CrossRef
The Relationship Between Musculoskeletal Discomfort and Professional Quality of Life Among Nurses
Rujnan Tuna, Feride Eskin Bacaksiz, Birsen Kahraman
Pain Management Nursing.2022; 23(1): 62. CrossRef
Musculoskeletal problems and expressed practices of body mechanics among nursing officers at All India Institute of Medical Sciences Jodhpur, Rajasthan, India
SubhashKumar SAINI, Vandna PANDEY, Ashok KUMAR, Abhay ELHENCE
Journal of Integrative Nursing.2021; 3(3): 128. CrossRef
Agresiones laborales a profesionales sanitarios e infradeclaración: Caracterización y brechas en el conocimiento para su prevención
María Dolores García-Pérez, Adriana Rivera-Sequeiros, Tomás María Sánchez-Elías, Marta Lima-Serrano
Enfermería Clínica.2021; 31(6): 390. CrossRef
Investigation of psychosocial factors on upper limb musculoskeletal disorders and the prevalence of its musculoskeletal disorders among nurses: a systematic review and meta-analysis
Asma Zare, Alireza Choobineh, Soheil Hassanipour, Mahdi Malakoutikhah
International Archives of Occupational and Environmental Health.2021; 94(5): 1113. CrossRef
Workplace violence on healthcare professionals and underreporting: Characterization and knowledge gaps for prevention
María Dolores García-Pérez, Adriana Rivera-Sequeiros, Tomás María Sánchez-Elías, Marta Lima-Serrano
Enfermería Clínica (English Edition).2021; 31(6): 390. CrossRef
Prevalence of Musculoskeletal Pain Among Academic Staff of Mekelle University, Ethiopia
Habtamu Meaza, Melaku Hailu Temesgen, Getachew Redae, Teklehaimanot Tekle Hailemariam, Abayneh Alamer
Clinical Medicine Insights: Arthritis and Musculoskeletal Disorders.2020; 13: 117954412097467. CrossRef
Prévention des troubles musculo-squelettiques chez les infirmiers d’un hôpital de province au Vietnam
Khue Pham Minh, Quy Kieu Ngoc, Armelle Forrer, Hai Nguyen Thanh, Daniel Reinharz
Santé Publique.2020; Vol. 31(5): 633. CrossRef
Work-Related Musculoskeletal Disorders, Occupational Stress, and Their Associations with General Health in Working Populations in Various Industries
Ehsan Asivandzadeh, Khalil Azami, Zeynab Jamalizadeh
Journal of Human, Environment, and Health Promotion.2018; 4(4): 169. CrossRef
The association between long working hours and work-related musculoskeletal symptoms of Korean wage workers: data from the fourth Korean working conditions survey (a cross-sectional study)
Jae-Gwang Lee, Guang Hwi Kim, Sung Won Jung, Sang Woo Kim, June-Hee Lee, Kyung-Jae Lee
Annals of Occupational and Environmental Medicine.2018;[Epub] CrossRef
Musculoskeletal Disorders: Prevalence and Associated Factors among District Hospital Nurses in Haiphong, Vietnam
Hoang Duc Luan, Nguyen Thanh Hai, Pham Thu Xanh, Hoang Thi Giang, Pham Van Thuc, Nguyen Mai Hong, Pham Minh Khue
BioMed Research International.2018; 2018: 1. CrossRef
Benchmarking working conditions for health and safety in the frontline healthcare industry: Perspectives from Australia and Malaysia
Sarven S. McLinton, May Young Loh, Maureen F. Dollard, Michelle M. R. Tuckey, Mohd Awang Idris, Sharon Morton
Journal of Advanced Nursing.2018; 74(8): 1851. CrossRef
Knee pain in nursing home workers after implementation of a safe resident handling program
Judith E. Gold, Alicia Kurowski, Rebecca J. Gore, Laura Punnett
American Journal of Industrial Medicine.2018; 61(10): 849. CrossRef
Psychosocial factors, musculoskeletal disorders and work-related fatigue amongst nurses in Brunei: structural equation model approach
Hanif Abdul Rahman, Khadizah Abdul-Mumin, Lin Naing
International Emergency Nursing.2017; 34: 17. CrossRef
Association Between Work-Relate Musculoskeletal Disorder and Ergonomic Risk Factors Among Nursing Professionals in Ranya and Qaladiza Districts
Karwan Mahmood Khudhir, Kochar Khasraw Saleh, Muhammed Saeed Qadir, Kochr Ali Mahmood, Ahmad Azuhairi Ariffin
Kurdistan Journal of Applied Research.2017; 2(2): 65. CrossRef
Psychosocial Work Stressors, Work Fatigue, and Musculoskeletal Disorders: Comparison between Emergency and Critical Care Nurses in Brunei Public Hospitals
Hanif Abdul Rahman, Khadizah Abdul-Mumin, Lin Naing
Asian Nursing Research.2017; 11(1): 13. CrossRef
The Reciprocal Effect of Psychosocial Aspects on Nurses' Working Conditions
Krystyna Kowalczuk, Elżbieta Krajewska-Kułak, Marek Sobolewski
Frontiers in Psychology.2017;[Epub] CrossRef
Musculoskeletal Disorders and Their Related Risk Factors Among Iranian Nurses
Hamid Taghinejad, Arman Azadi, Zainab Suhrabi, Mohammadreza Sayedinia
Biotechnology and Health Sciences.2016;[Epub] CrossRef

66 View
0 Download
28 Web of Science
24 Crossref

Research Article

Association between Workplace Risk Factor Exposure and Sleep Disturbance: Analysis of the 2nd Korean Working Conditions Survey: Yong-Seok Heo, Sei-Jin Chang, Shin-Goo Park, Jong-Han Leem, Sung-Hwan Jeon, Bum-Joon Lee, Kyung-Yong Rhee, Hwan-Cheol Kim; Ann Occup Environ Med 2013;25:41-41. Published online December 27, 2013; DOI: https://doi.org/10.1186/2052-4374-25-41

Abstract PDF PubReader ePub

Objectives

Sleep is essential for human beings to live and work properly. This study was conducted to investigate the relationship between occupational exposures to workplace risk factors and sleep disturbance in Korean workers.

Methods

The data were drawn from the second Korean Working Conditions Survey (KWCS); a total of 7,112 paid workers were analyzed. The independent variables were occupational exposures such as physical, chemical, biological, and psychosocial risk factor in the workplace, and psychosocial risk factor was divided into five categories (job demand, job control, social support, job insecurity, lack of reward). We estimated the relationship between various occupational exposures and sleep disturbance using multivariate logistic regression analysis.

Results

The results showed that people who exposed to physical, chemical, biological, and psychosocial (high job demand, inadequate social support, lack of reward) risk factors were more likely to increase the risk of sleep disturbance. Furthermore, after adjusting for general and occupational characteristics, we found significant positive associations between exposures to physical (odds ratios [OR] 1.47, 95% confidence interval [CI] 1.05-2.07) and psychosocial (high job demand (OR 2.93, 95% CI 2.16-3.98), inadequate social support (OR 1.57, 95% CI 1.14-2.15), lack of reward (OR 1.45, 95% CI 1.08-1.96)) risk factors and sleep disturbance.

Conclusion

These results suggest that occupational exposures to physical and psychosocial workplace risk factors are significantly related to sleep disturbance.

Citations

Citations to this article as recorded by

Association between ergonomic risk exposures and insomnia symptoms: a mediation analysis of the 5th Korean working conditions survey
Seong-Sik Cho, Tae-Won Jang, Mo-Yeol Kang
BMC Public Health.2024;[Epub] CrossRef
Depressive symptoms of people living in areas with high exposure to environmental noise: a multilevel analysis
Il Yun, Seung Hwan Lee, Sohee Park, Suk-Yong Jang, Sung-In Jang
Scientific Reports.2024;[Epub] CrossRef
Sleep Duration and Sarcopenia: An Updated Systematic Review and Meta-Analysis
Xiaoyan Li, Jie He, Qiuhua Sun
Journal of the American Medical Directors Association.2023; 24(8): 1193. CrossRef
Factors associated with reduced risk of musculoskeletal disorders among office workers: a cross-sectional study 2017 to 2020
Bukhari Putsa, Wattana Jalayondeja, Keerin Mekhora, Petcharatana Bhuanantanondh, Chutima Jalayondeja
BMC Public Health.2022;[Epub] CrossRef
Association between sleep quality and type of shift work in Korean firefighters
Hyun-Jeong Oh, Chang Sun Sim, Tae-Won Jang, Yeon Soon Ahn, Kyoung Sook Jeong
Annals of Occupational and Environmental Medicine.2022;[Epub] CrossRef
Components of Stress and Their Associations With Sleep Problems
Marianna Virtanen, Saana Myllyntausta, Petri Karkkola, Jaana Pentti, Annina Ropponen, Jussi Vahtera, Sari Stenholm
Journal of Occupational & Environmental Medicine.2022; 64(5): 390. CrossRef
Variation on Work Demands and Sleep Disturbances Concerning Fixed and Rotating Shifts in the Water, Sanitation, and Waste Sector
Ana Dionísio, Teresa P. Cotrim, Júlia Teles, José Carvalhais
Applied System Innovation.2022; 5(6): 108. CrossRef
The prevalence and determining factors of sleep disorders vary by gender in the Egyptian public officials: a large cross-sectional study
Ehab Salah Eshak
Bulletin of the National Research Centre.2022;[Epub] CrossRef
Association between occupational exposure to chemical or physical factors and sleep disturbance: An analysis of the fifth Korean Working Conditions Survey
Seong-Sik Cho, Mo-Yeol Kang
Sleep Health.2022; 8(5): 521. CrossRef
Association between physical risk factors and sleep disturbance among workers in Korea: The 5th Korean Working Conditions Survey
Inho Park, Seunghan Kim, Yangwook Kim, Byungyoon Yun, Jin-Ha Yoon
Sleep Medicine.2022; 100: 157. CrossRef
Evaluation of the correlation between effort-reward imbalance and sleep quality among community health workers
Xuexue Deng, Ronghua Fang, Yaoting Cai
BMC Health Services Research.2021;[Epub] CrossRef
The association between mental health and shift work: Findings from the Atlantic PATH study
Ellen Sweeney, Yunsong Cui, Zhijie Michael Yu, Trevor J.B. Dummer, Vanessa DeClercq, Cynthia Forbes, Scott A. Grandy, Melanie R. Keats, Anil Adisesh
Preventive Medicine.2021; 150: 106697. CrossRef
Multiple environmental and psychosocial work risk factors and sleep disturbances
Hamidreza Mokarami, Vahid Gharibi, Haji Omid Kalteh, Mehdi Faraji Kujerdi, Reza Kazemi
International Archives of Occupational and Environmental Health.2020; 93(5): 623. CrossRef
Job insecurity, economic hardship, and sleep problems in a national sample of salaried workers in Spain
Sergio Salas-Nicás, Grace Sembajwe, Albert Navarro, Salvador Moncada, Clara Llorens, Orfeu M. Buxton
Sleep Health.2020; 6(3): 262. CrossRef
The association between quality of direct supervisor's behavior and depressive mood in Korean wage workers: the 4th Korean Working Conditions Survey
Cham-Jin Park, Ji-Hoo Yook, Min-Seok Kim, Dongwook Lee, Hyun-Mook Lim, Yun-Chul Hong
Annals of Occupational and Environmental Medicine.2019;[Epub] CrossRef
The Physical Work Environment and Sleep
Christopher Magee, Vinod Gopaldasani, Shahnaz Bakand, Robyn Coman
Journal of Occupational & Environmental Medicine.2019; 61(12): 1011. CrossRef
The Association of Workplace Psychosocial Factors and Musculoskeletal Pain Among Korean Emotional Laborers
Kiook Baek, Seonhee Yang, Miyoung Lee, Insung Chung
Safety and Health at Work.2018; 9(2): 216. CrossRef
Sleep problems and road accidents
Miranda Nava Gabriel
Journal of Psychology & Clinical Psychiatry.2018;[Epub] CrossRef
The Global Problem of Insufficient Sleep and Its Serious Public Health Implications
Vijay Kumar Chattu, Md. Dilshad Manzar, Soosanna Kumary, Deepa Burman, David Warren Spence, Seithikurippu R. Pandi-Perumal
Healthcare.2018; 7(1): 1. CrossRef
Dynamics of sleep disorders and health characteristics, relationship to prevention of cardiovascular diseases among women 25-44 years old in Russia/Siberian
V. V. Gafarov, E. A. Gromova, I. V. Gagulin, A. V. Gafarova, E. A. Krymov, D. O. Panov
Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova.2018; 118(4): 43. CrossRef
The Effects of Benson’s Relaxation Response on Fatigue During Pregnancy: A Two-Group Randomized Controlled Field Trial
Gholamhossein Mahmoudirad, Mahdi Hosseini, Manizhe Nasirizade, Fateme Biabani
Modern Care Journal.2017;[Epub] CrossRef
Symptoms of Nervous System Related Disorders Among Workers Exposed to Occupational Noise and Vibration in Korea
Seunghyun Lee, Wanhyung Lee, Jaehoon Roh, Jong-Uk Won, Jin-Ha Yoon
Journal of Occupational & Environmental Medicine.2017; 59(2): 191. CrossRef
Using the Job Burden-Capital Model of Occupational Stress to Predict Depression and Well-Being among Electronic Manufacturing Service Employees in China
Chao Wang, Shuang Li, Tao Li, Shanfa Yu, Junming Dai, Xiaoman Liu, Xiaojun Zhu, Yuqing Ji, Jin Wang
International Journal of Environmental Research and Public Health.2016; 13(8): 819. CrossRef
Association between Working Conditions and Smoking Status among Korean Employees
Jiyun Kim
Korean Journal of Occupational Health Nursing.2015; 24(3): 204. CrossRef

63 View
0 Download
23 Web of Science
24 Crossref

First
Prev
Page of 1
Next
Last

Search