Humans ; Musculoskeletal Diseases ; epidemiology ; prevention & control ; Occupational Diseases ; epidemiology ; prevention & control

OBJECTIVETo characterize the distribution of work-related musculoskeletal disorders (WRMD) among the occupational population.

METHODSA total of 1686 people of various occupations were recruited with random cluster sampling. Standardized Nordic questionnaires for the analysis of musculoskeletal systems were used to evaluate WRMD at the neck, shoulder, or lower back in the past one year. The annual prevalence of WRMD was determined. Difference analysis was performed with t-test, ANOVA, or chi-square test. The relationship between personal characteristics and WRMD was analyzed by unconditional logistic regression.

RESULTS(1) WRMD were most frequently observed at the neck, followed by the lower back, and was least observed at the shoulder (P < 0.05). The prevalence of WRMD among mental workers was significantly higher than those among physical workers and mental-physical workers (P < 0.01). The prevalence of WRMD among female workers was significantly higher than that among male workers (P < 0.05). (2) In general, the prevalence of WRMD significantly rose with the increases in age (<30, 30∼, 40∼, and ≥ 50 years) or working years (<10, 10∼, and ≥ 20 years) (P < 0.05). (3) In the face of sickness or injury, physical workers and mental workers showed a relatively high absence rate but a relatively low medical visiting rate (13.05%). (4) Unconditional logistic regression analysis showed that mental work, gender, and working year were the main influential factors for WRMD among workers.

CONCLUSIONWorkers of different types of occupation, genders, ages, and working years have different risks of WRMD at the neck, shoulder, and lower back.

Adult ; Female ; Humans ; Logistic Models ; Male ; Middle Aged ; Musculoskeletal Diseases ; epidemiology ; Occupational Diseases ; epidemiology

Ergonomics ; Humans ; Industry ; Musculoskeletal Diseases/epidemiology* ; Occupational Diseases/epidemiology* ; Risk Factors

Adult ; Cross-Sectional Studies ; Humans ; Male ; Muscle, Skeletal ; injuries ; Musculoskeletal Diseases ; epidemiology ; Occupational Diseases ; epidemiology ; Welding

OBJECTIVETo analyze the distribution of the musculoskeletal disorders, work load and working postures in different factories, gender, education levels, age and working years among manufacturing workers.

METHODSIn a cross-sectional study of 5134 manufacturing workers in 12 factories, the morbidities for musculoskeletal disorders in one year period were measured with questionnaires.

RESULTSThe morbidities for musculoskeletal disorders in body sites: waist, neck, shoulder, wrist, ankle/feet, knee, hip/buttocks and elbows were 59.7%, 47.9%, 38.1%, 33.7%, 26.9%, 25.4%, 15.2%, and 14.9%, respectively in one year period. There were significant differences of morbidities for musculoskeletal symptoms in body sites of workers among different factories (P < 0.05 or P < 0.01). The morbidities of musculoskeletal symptoms in elbows, waist, wrists and ankle/feet of the workers in refractory material and chemical fiber factories were higher than those in other factories, the morbidities for musculoskeletal symptoms of workers in garments and diamond factories were lower than those in other factories. The morbidities for musculoskeletal symptoms in neck, shoulders and wrists of female workers were significantly higher than those of male workers (P < 0.01). There were significant differences of the morbidities for musculoskeletal symptoms in body sites among workers with different educational levels (P < 0.05 or P < 0.01). There were significant differences of the morbidities for musculoskeletal symptoms in neck, shoulders, wrists, hip/buttocks and knee among groups with different age or different working years (P < 0.01), and the morbidities for musculoskeletal symptoms increased with age and working years. The proportions of unhealthy working postures and high working load among workers in refractory material and chemical fiber factories were higher; but those in garments and diamond factories were lower.

CONCLUSIONThe morbidities for musculoskeletal symptoms in waist, neck, shoulder and wrists of workers in manufacturing workers were higher; the gender, education level, age and working years could influenced the morbidities for musculoskeletal disorders.

Adult ; Female ; Humans ; Industry ; Male ; Musculoskeletal Diseases ; epidemiology ; Occupational Diseases ; epidemiology ; Posture ; Surveys and Questionnaires

OBJECTIVETo determine the prevalence of occupational musculoskeletal disorders (OMSD) and its risk factors among workers in three manufacturing industries in Zhongshan, China by cross-sectional epidemiological investigation.

METHODSA total of 2 035 workers from the industries of metals (1001 persons), electrical appliances (455 persons), and furniture (579 persons), including 1 402 males and 633 females, were selected; the mean age was 32.9 ± 8.2 years, and the mean length of service was 6.4 ± 5.6 years. A revised Northern Europe Standardized Questionnaire was used for cross-sectional epidemiological investigation of OMSD.

RESULTSThe results showed that OMSD in these workers was primarily located in the neck, waist, and shoulder, with annual prevalence rates of 23.1%, 20.1%, and 15.8%, respectively. The overall prevalence of OMSD was 43.1% in metal industry, 44.0% in electrical appliance industry, and 26.6% in furniture industry. OMSD prevalence showed significant differences between different industries (χ(2) = 54.2, P < 0.01). The prevalence of OMSD in the shoulder and back increased with working years (P < 0.05). Logistic regression analysis showed that the risk factors for OMSD were working age >10 years, safety behavior such as "bending down when lifting heavy things from the ground", and different types of industries.

CONCLUSIONOMSD is mainly manifested by neck pain, waist pain, and shoulder pain among front-line manufacturing workers in Zhongshan, and working age, poor labor posture, and different types of industries were risk factors for waist pain.

Adult ; China ; epidemiology ; Cross-Sectional Studies ; Female ; Humans ; Male ; Musculoskeletal Diseases ; epidemiology ; Occupational Diseases ; epidemiology ; Prevalence ; Risk Factors

Objective: To investigate the influence of individual factors and labor organization on the prevalence of neck pain (hereinafter referred to as neck pain) in automotive assemblers, and to provide a basis for enterprises to optimize neck pain interventions. Methods: A cluster random sampling method was taken in January 2021, at an automobile manufacturing plant in Shiyan, 656 assemblers with ≥1.0 years of service were selected, the "Musculoskeletal Disorder Questionnaire" was used to investigate the incidence and influencing factors of neck pain. Pearson χ(2) test or trend χ(2) test was used to compare the data rates. The influencing factors of neck pain were analyzed by multivariate logistic regression. Results: The prevalence rate of neck pain (hereinafter referred to as the prevalence rate of neck pain) of automobile assemblers within one year was 53.94% (342/634) . The prevalence of neck pain in women was higher than that in men (69.1% vs 48.6%, P<0.01) . The prevalence of neck pain was related to length of service, self-assessment of fatigue, working hours per week, working in the same workshop, rest days per shift, and accumulated rest time per shift (P<0.05) . Multivariate logistic regression analysis showed that the risk of neck pain in women was 2.434 times higher than that in men; The risk of neck pain increased by 18.9% for each hour of work per week; Rest during work was a protective factor for neck pain. The number of rest per shift increased and the risk of neck pain decreased (r=0.405, 0.311, 0.302, 95%CI=0.205~0.803, 0.169~0.572, 0.142~0.642, P<0.05) . Conclusion: The annual prevalence of neck pain was higher in automobile assemblers. Enterprises should fully consider the influencing factors such as gender, working hours per week and the number of breaks when arranging production.
Female ; Humans ; Male ; Musculoskeletal Diseases/epidemiology* ; Neck Pain/epidemiology* ; Occupational Diseases/epidemiology* ; Prevalence ; Risk Factors ; Surveys and Questionnaires

Objective: To explore the relevant factors of work-related musculoskeletal disorders (WMSDs) among dentists through Meta analysis, providing a basis for the prevention and control of WMSDs among dentists. Methods: In April 2022, cross-sectional research literatures on the prevalence correlation of WMSDs among Chinese dentists were searched in databases such as China National Knowledge Infrastructure, Wanfang, VIP, PubMed, Web of Science, and Em Base database. The search was conducted from the establishment of the database until April 2022, literatures were selected using keywords such as musculoskeletal disorders and dentists. To extract gender, age, length of service, disease classification and other related influencing factors as indicator, and prevalence was selected as the outcome indicator. After evaluating the quality of the literatures, RevMan 5.3 software was used to calculate the combined RD (95%CI) values of the included literatures. Results: A total of 15 articles were included, with a total sample size of 3646 people. Meta analysis results showed that the prevalence of WMSDs among dentists in China was 80%, and the top three parts of the incidence rates were 65% of the waist, 58% of the neck, and 50% of the back. Gender, age, length of service, region and disease classification all increased the risk of WMSDs, and the combined effect size were 75%, 78%, 71%, 77% and 82% respectively (P<0.05) . Conclusion: The occurrence of WMSDs among dentists in China is related to multiple factors such as gender, age, length of service and disease classification. The above risk factors should be taken into account in the workplace and preventive measures should be actively implemented to prolong the working life of dentists.
Humans ; Prevalence ; Cross-Sectional Studies ; Occupational Diseases/epidemiology* ; Surveys and Questionnaires ; Musculoskeletal Diseases/epidemiology* ; Risk Factors ; China/epidemiology* ; Dentists

Objective: To study the prevalence of musculoskeletal disorders (MSDs) and related factors in female greenhouse workers. Method: A questionnaire survey was conducted among 851 female greenhouse workers in Shandong province in 2015. Results: The incidence of MSDs among the female greenhouse workers was 82.79%. For the MSDs in female greenhouse workers, the top four affected body sites were low back (65.82%), knees (49.10%), neck (25.75%) and shoulder (23.47%). Multivariate logistic regression analysis showed that age ≥50 years (OR=2.098, 95%CI: 1.353-3.252), working years ≥20 (OR=1.703, 95%CI: 1.116-2.599), repetitive work (OR=1.903, 95%CI: 1.183-3.061), standing for prolonged time (OR=2.902, 95%CI: 1.183-7.120) and frequent slightly bending down (OR=2.979, 95%CI: 1.823-4.867) were the main risk factors for MSDs in female greenhouse workers. Aiding tools was the protective factor (OR=0.400, 95%CI:0.229-0.697). Conclusions: The findings showed a relatively higher prevalence of MSDs in female greenhouse workers. It is necessary to take appropriate measures to prevent and control the incidence of MSDs in female greenhouse workers.
Agriculture ; China/epidemiology* ; Female ; Humans ; Musculoskeletal Diseases/ethnology* ; Occupational Diseases/ethnology* ; Prevalence ; Risk Factors ; Surveys and Questionnaires

OBJECTIVETo study the prevalence of occupational musculoskeletal disorders (OMSD) of male steelworkers and explore its occupational and individual risk factors.

METHODS1620 male workers from a steel mill were selected as subjects through random cluster sampling in 2010. A revised Nordic Musculoskeletal disorder standard questionnaire and a questionnaire from National Institute for Occupational and Health of the Netherlands were used to ask and record the OMSD and its risk factors. The questionnaires were filled in by the workers. Annual prevalence of OMSD in different parts of the body were counted according to different age, working years and educational level, logistic regression was used to analyze its influence factors.

RESULTSOMSD in these workers primarily located in waist, neck and shoulders, annual prevalence were 51.0% (825), 48.5% (785) and 37.7% (610) respectively. Annual prevalence of other body parts were 28.0% (454) for back, 23.6% (383) for knee, 21.0% (341) for wrist, 17.9% (290) for ankle/foot, 14.1% (229) for elbow and 12.7% (205) for coxa. The annual prevalence of OMSD for each part tended to increase with age, mainly in waist and neck. Of the different age groups ≤ 24, 25 - 29, 30 - 34, 35 - 39, 40 - 44, 45 - 49, ≥ 50, the annual prevalence in waist was 26.4% (43/163), 37.8% (71/188), 52.8% (162/307), 55.6% (160/288), 53.8% (99/184), 55.9% (80/143), 61.6% (204/331) respectively (χ(2) = 72.5, P < 0.05); correspondingly, the annual prevalence in neck was 22.7% (37/163), 40.4% (76/188), 50.2% (154/307), 48.6% (140/288), 56.0% (103/184), 53.1% (76/143), 57.7% (191/331) respectively (χ(2) = 65.3, P < 0.05). The annual prevalence of OMSD increased with the working years. Of the different working years groups ≤ 4, 5 - 9, 10 - 14, 15 - 19, 20 - 24, 25 - 29, ≥ 30, the annual prevalence in waist was 30.2% (85/281), 46.2% (66/143), 56.4% (162/287), 56.8% (137/241), 50.6% (78/154), 59.2% (90/152), 60.7% (173/285) respectively (χ(2) = 71.3, P < 0.05);correspondingly, the annual prevalence in neck was 28.8% (81/281), 49.0% (70/143), 52.6% (151/287), 50.2% (121/241), 51.9% (80/154), 53.9% (82/152), 59.3% (169/285) respectively (χ(2) = 61.5, P < 0.05). The annual prevalence of OMSD decreased with education level. Of the different groups of education level (junior high school level and below, senior high school level, university level or above), the OMSD prevalence in waist was 61.5% (176/286), 61.9% (359/692), 44.2% (272/615) respectively (χ(2) = 26.0, P < 0.05);correspondingly, the annual prevalence in neck was 56.3% (161/286), 50.0% (346/692), 42.3% (260/615)respectively (χ(2) = 21.2, P < 0.05). Univariate logistic regression showed that the work load factors such as the working years ≥ 30 (OR = 3.562, 95%CI: 2.514 - 5.046), maintain substantial stoop for a long time (OR = 2.003, 95%CI: 1.612 - 2.488), often stooping with vast scale (OR = 1.897, 95%CI: 1.557 - 2.312), and torso repeating same action many times per minute (OR = 1.870, 95%CI: 1.529 - 2.288) could increase the annual prevalence of OMSD in waist most likely (P < 0.05). The working years ≥ 30 (OR = 3.597, 95%CI: 2.535 - 5.105), neck leaning forward (OR = 2.455, 95%CI: 2.010-2.99), neck leaning back (OR = 1.999, 95%CI: 1.569 - 2.546), and neck rotation (OR = 2.381, 95%CI: 1.907 - 2.972) were main risk factors causing OMSD in neck (P < 0.05).

CONCLUSIONThe most serious musculoskeletal disorders of male steelworkers were waist and neck pain. Personal factors such as age, working years, work load factors such as harmful working postures, manual heavy lifting, and labour organizational factors such as work overtime were the main risk factors of musculoskeletal disorders to the male steelworkers.

Adult ; Humans ; Logistic Models ; Male ; Middle Aged ; Musculoskeletal Diseases ; epidemiology ; Occupational Diseases ; epidemiology ; Prevalence ; Risk Factors ; Surveys and Questionnaires ; Workload