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Musculoskeletal symptoms and associated risk factors in a large sample of Chinese workers in Henan Province of China.

Authors
Yu-S; Lu-M-L; Gu-G; Zhou-W; He-L; Wang-S
Source
Am J Ind Med 2012 Mar; 55(3):281-293
NIOSHTIC No.
20040364
Abstract
Objective: To investigate the one-year prevalence of musculoskeletal symptoms and associated risk factors in a large sample of Chinese workers in various industrial settings. Methods: A total of 5,338 (3,632 males and 1,706 females) workers from 13 companies participated in this study. Musculoskeletal symptoms in different body regions in the previous year and their risk factors were assessed by a self-reported questionnaire. Logistic regression analyses were performed to estimate the individual, work-related physical and psychosocial risk factors for the musculoskeletal symptoms. Results: The most commonly affected body regions among the workers were lower back (59.7%), neck (48.6%), shoulders (38.8%), and wrists (33.5%). Female workers had greater prevalence of musculoskeletal symptoms in the neck, shoulders, and wrists than male workers. Results of multivariate analyses indicated that individual, work-related physical and psychosocial factors were associated with the musculoskeletal symptoms. Conclusion: The results suggest that interventions aimed at reducing musculoskeletal symptoms in the Chinese working population should take into account multiple risk areas including individual, physical job characteristics and work-related psychosocial factors.
Keywords
Musculoskeletal-system-disorders; Musculoskeletal-system; Injuries; Risk-factors; Risk-analysis; Sampling; Worker-health; Health-surveys; Body-regions; Questionnaires; Physiological-function; Psychological-factors; Sociological-factors; Statistical-analysis; Back-injuries; Neck-injuries; Hand-injuries; Author Keywords: musculoskeletal symptoms; Chinese workers; physical job characteristics; psychosocial factors; personal factors
Contact
Ming-Lun Lu, PhD, The National Institute for Occupational Safety and Health, 4676 Columbia Parkway, MS C-24, Cincinnati, OH 45226-1998
CODEN
AJIMD8
Publication Date
20120301
Document Type
Journal Article
Email Address
mlu@cdc.gov
Fiscal Year
2012
NTIS Accession No.
NTIS Price
Identifying No.
B02292012
Issue of Publication
3
ISSN
0271-3586
NIOSH Division
DART
Source Name
American Journal of Industrial Medicine
State
OH
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