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 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 investigate the prevalence and Influence factors of work-related musculoskeletal disorders (WMSDs) among dental nurses in tertiary stomatology hospitals. Methods: From June to July 2020, 1321 dental nurses from 18 tertiary stomatology hospitals in 18 provinces of China were enrolled as research subjects through a phased sampling method. The cross-sectional study was performed with validated instruments including the basic information questionnaire, Effort-Reward Imbalance Questionnaire, Nurse-Physician Collaboration Scale, and Chinese Musculoskeletal Questionnaire, so as to get the information about the social demography information, nursing-physician cooperation, work stress and the incidence of WMSDs. The influenang factors of WMSDs was analyzed. Results: The past prevalence, annual prevalence, and weekly prevalence of WMSDs were 80.8% (1067/1321) , 68.7% and 43.7% (575/1321) . 58.4% (771/1321) of nurses had WMSDs in three or more body parts. Neck (51.4%) , waist (42.2%) and shoulder (41.6%) were the top three body regions in the past year. The absenteeism rate due to musculoskeletal disorders ranged from 3.5% to 9.0%, waist (8.9%) and neck (8.0%) were the top two body regions. Working more than 40 hours per week (OR=1.74, P<0.001) and effect/reward>1 (OR=1.50, P=0.002) were risk factors of WMSDs (OR=1.74, 95% CI: 1.32~2.30; OR=1.50, 95%CI: 1.17~1.92, P<0.05) , while regular physical exercise every week (≥30 min per times) was the protective factor (OR=0.74, 95%CI: 0.56~0.97, P=0.030) . Conclusion: The prevalence rate of WMSDs of dental nurses in China was high, and most of the nurses suffered with many body parts. Thus, we should reduce controllable occupational stresso, ensuring adequate rest and strengthening physical exercise to reduce the incidence of WMSDs.
Humans ; Prevalence ; Cross-Sectional Studies ; Occupational Diseases/epidemiology* ; Dental Assistants ; Musculoskeletal Diseases/epidemiology* ; Surveys and Questionnaires ; Risk Factors

Objective: To explore the prevalence and risk factors of neck musculoskeletal diseases (MSDs) of welders among an automobile factory. Methods: In June 2019, a cluster random sampling method was used to select 677 electric welders from an automobile manufacturing plant in Shiyan City as the survey objects, and a questionnaire survey was conducted using the "Musculoskeletal Disorders Questionnaire" to analyze the prevalence and influencing factors of neck MSDs, and used logistic regression to analyze the relationship between the influencing factors and the prevalence of cervical MSDs. Results: The prevalence rate of MSDs in neck of welders was 54.8% (371/677) . The exposure rate of occupational factors, from high to low, were neckin a bent formord porsure was 71.6% (486/677) , repetitive head movements was 55.1% (373/677) , working in uncomfortable postures was 48.7% (330/677) and neck twisted was 46.8% (317/677) respectively. Sex, age, educational level, length of service, smoking, neck tilt, neck twist, working in uncomfortable posture and head repetitive movements were the risk factors of neck MSDs (P<0.05) . Multiple logistic regression analysis showed that, the main influencing factors of neck MSDs were sex, education level, age, length of service, smoking, neck tilt, working in uncomfortable posture (OR = 2.11, 2.03, 1.83, 1.21, 1.78, 1.90, 1.58, 95%CI: 1.28~3.48、1.47~2.81、1.33~2.52、1.03~1.41、1.22~2.60、1.28~2.83、1.11~2.27, P<0.05) , rest had protective effect on neck MSDs (OR= 0.38, 95%CI: 0.17~0.88, P<0.05) . Conclusion: Welders in automobile factory was highly exposed to occupational risk factors for neck MSDs. Occupational risk factors such as neck in a bent forward posture, working in an uncomfortable posture, prolonged siting, repetitive head movement should be the focus of intervention.
Automobiles ; Cross-Sectional Studies ; Humans ; Metal Workers ; Musculoskeletal Diseases/epidemiology* ; Occupational Diseases/epidemiology* ; Prevalence ; Risk Factors ; Surveys and Questionnaires

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

BACKGROUND: Work-related musculoskeletal disorders (WMSDs) are dramatically increased in the world due to the advancement of technology and competitiveness of markets. There were limited studies carried out regarding WMSDs among bank workers in Africa particularly in Ethiopia. Therefore, the aim of this study was to assess the magnitude of work-related musculoskeletal disorders and associated factors among bank workers in Addis Ababa, Ethiopia. METHODS: Institution-based cross-sectional study design was employed in the study. Multi-stage sampling techniques were used to select 838 bank workers from 62 banks in Addis Ababa. Self-administered standard Nordic questionnaires were used as well. Multivariable binary logistic regression analyses were employed to identify factors associated with WMSDs. Moreover adjusted odds ratio (AOR), 95% confidence interval (CI) and p value < 0.05 was used to show the strength of association between explanatory variables and dependent variable. RESULTS: Out of 838 total numbers of participants, 755 bank workers returned their questionnaires responding with a rate of 90%. Of these, 77.6% (N = 586) suffered WMSDs with a 95% CI [75-81%]. Based on the final multivariate logistic regression analysis being female [AOR = 2.98, 95% CI 1.91-4.65], sitting back in a twisted position [AOR = 3.59, 95% CI 2.13-6.08], sitting back bent [AOR = 4.06, 95% CI 2.48-6.66], work on fixed position [AOR = 1.78, 95% CI 1.17-2.71], no work time break [AOR = 3.33, 95% CI 1.44-7.71], type of chairs [AOR = 2.62, 95% CI 1.19-5.75] and job stress [AOR = 2.33, 95% CI 1.19-4.54] were factors significantly associated with WMSDs. CONCLUSION From the study's findings, the magnitude of work-related musculoskeletal disorders among bank workers was high. Being female, awkward posture, no work time break, fixed position, type of chairs, and job stress are the factors significantly associated with WMSDs. So bank workers should use proper types of chairs, practice proper work posture, increase healthy working conditions, and create awareness programs on how to maintain beneficial health conditions which may lead to increased leisure time.
Adult ; Aged ; Banking, Personal ; Cities ; Cross-Sectional Studies ; Ethiopia ; epidemiology ; Female ; Humans ; Male ; Middle Aged ; Musculoskeletal Diseases ; epidemiology ; etiology ; Occupational Diseases ; epidemiology ; etiology ; Risk Factors ; Young Adult

Betacoronavirus ; Consensus ; Coronavirus Infections ; complications ; epidemiology ; prevention & control ; Epidemics ; Humans ; Minimally Invasive Surgical Procedures ; Musculoskeletal Diseases ; complications ; therapy ; Pandemics ; prevention & control ; Pneumonia, Viral ; complications ; epidemiology ; prevention & control

BACKGROUND: Musculoskeletal symptoms often occur in more than one anatomical site. The present study aimed to define specific patterns of multisite musculoskeletal disorders and examine how these patterns are related to common psychological problems. METHODS: Using the data from an interview-based health survey of 358 samples of the industrial manufacturing male employees, we derived major patterns of musculoskeletal complaints using latent class analysis and investigated its association with psychological problems score extracted from depression, anxiety, and stress measured by Depression/Anxiety/Stress Scale (DASS-21). Musculoskeletal disorders were assessed by Nordic Musculoskeletal Questionnaire (NMQ). The statistical analysis was carried out by Mplus 8. RESULTS: Complaints in the lower back (42.1%) and neck (30.7%) had the highest prevalence, and in the hip (15.0%) and ankle (12.2%) the lowest. Three major patterns of musculoskeletal disorders were extracted using latent class analysis. Class 1 (12.9%) was characterized by a high rate of complaints in upper musculoskeletal sites, such as the neck, shoulder, and joints; class 2 (38.2%) was identified by a higher rate of complaints in the lower and upper back; and class 3 (48.9%) was marked by low rates of complaints in all musculoskeletal sites. After adjustment for confounding variables and specifying class 3 as the reference, it turned out that there was a statistically significant association between the psychological problems score and the chance of being in class 1 (OR = 2.47, 95% CI 1.66-3.68), but not a significant association with the chance of being in class 2 (OR = 1.51, 95% CI 0.83-2.72). CONCLUSION Musculoskeletal disorders can be summarized in the latent class-derived patterns in the adult study population and provide additional prognostics. Common psychological problems are significantly associated with the type of musculoskeletal disorder patterns. The findings in this study could be useful for dealing with prevention and treatment programs.
Adult ; Anxiety ; epidemiology ; Cross-Sectional Studies ; Depression ; epidemiology ; Health Surveys ; Humans ; Iran ; epidemiology ; Latent Class Analysis ; Male ; Manufacturing Industry ; statistics & numerical data ; Middle Aged ; Musculoskeletal Diseases ; classification ; epidemiology ; psychology ; Occupational Diseases ; classification ; epidemiology ; psychology ; Prevalence ; Stress, Psychological ; epidemiology

BACKGROUND: Musculoskeletal disorders are a major source of disability accounting for considerable economic loss globally. Studies showed that housekeepers suffer from exposure to many high-risk factors for neck and upper limb musculoskeletal disorders. In Ethiopia, little is known and the information is limited in scope about the magnitude of the problem among hotel housekeepers. Therefore, this study aimed to determine the magnitude of the neck and upper limb musculoskeletal disorders and identify the associated risk factors among hotel housekeepers. METHODS: Institution-based cross-sectional study design was employed from March 1 to May 20, 2017. Systematic random sampling was used to select 422 study participants among the Gondar town hotels, Ethiopia. The standardized Nordic questionnaire for the analysis of musculoskeletal symptoms was used to measure the neck and upper limb musculoskeletal disorders. Bivariate and multivariable binary logistic regression analyses were performed using SPSS version 20. The significance level was obtained at 95% CI and p value ≤ 0.05. RESULTS: The overall magnitude of a self-reported neck and upper limb musculoskeletal disorders among hotel housekeepers in the last 12 months was 62.8% (95% CI 58.3, 67.8). The main body areas of concern were neck pain (50.7%), shoulder pain (54%), elbow/forearm (47.2%), and hand/wrist (45.5%). Age, rest break taken, repetitive movement, reaching/overstretching, organization concern for health and safety, and job satisfaction were the risk factors significantly associated with neck and upper limb musculoskeletal disorders. CONCLUSIONS A higher proportion of hotel housekeepers were found to be affected by neck and upper limb musculoskeletal disorders in Gondar town. Repetitive movement and reaching/overstretching were strongly associated risk factors with neck and upper limb musculoskeletal disorders. Therefore, ergonomic, organizational and personal measures, which focus on minimizing repetitive movement and awkward working position and facilitating rest break with exercise, are important to tackle neck and upper limb musculoskeletal disorders among hotel housekeepers.
Adult ; Cross-Sectional Studies ; Ethiopia ; epidemiology ; Female ; Housekeeping ; statistics & numerical data ; Humans ; Male ; Musculoskeletal Pain ; epidemiology ; physiopathology ; Neck ; physiopathology ; Occupational Diseases ; epidemiology ; physiopathology ; Risk Factors ; Self Report ; Surveys and Questionnaires ; Upper Extremity ; physiopathology

BACKGROUND: Growing industrialization of China exposes its labor population to the risk of musculoskeletal disorders (MSDs). This study aimed to investigate the prevalence and risk factors of MSDs in a modern industrial region of Beijing. METHODS: A cross-sectional study included 1415 employees in six industrial companies was conducted between January 2018 and May 2018 in Fangshan district, Beijng, China. Nordic Musculoskeletal Questionnaire (NMQ) was used to collect the information about MSDs. Demographic factors, lifestyle factors, health and medical factors, and work-related factors were collected as independent variables. Descriptive statistics, the chi-squared (χ) test, and binary logistic regression analysis were used to analyze data. RESULTS: Among 1415 participants, 498 reported MSDs. The regions involved were the neck (25.16%), shoulders (17.17%), and upper back (13.29%). There was a significant statistical difference between frontline industrial workers and other staff in the prevalence of self-reported symptoms involving the shoulders (χ = 4.33, P = 0.037), wrists and hands (χ = 8.90, P = 0.003), and ankles and feet (χ = 12.88, P < 0.001). Increased age (P = 0.005, OR = 1.63; P = 0.001, OR = 2.33), a high or a low salary (P < 0.001, OR = 0.49; P < 0.001, OR = 0.30), night-shift (P = 0.027, OR = 1.46), two-week-history of illness and treatment (P = 0.004, OR = 5.60; P = 0.013, OR = 4.19), concurrent chronic diseases (P = 0.001, OR = 3.45; P = 0.092, OR = 7.81), limited access to health information (P = 0.004, OR = 0.49), and negative attitude towards seeking healthcare (P = 0.010, OR = 1.77; P = 0.009, OR = 2.75) were associated with MSDs in frontline workers. Female gender (P < 0.001, OR = 2.30), high education (P = 0.001, OR = 1.96), no exercises (P = 0.027, OR = 0.59), night-shift (P = 0.017, OR = 1.98), concurrent chronic diseases (P = 0.002, OR = 3.73; P = 0.020, OR = 13.42), limited access to health information (P = 0.013, OR = 0.53), far distance to medical institution (P = 0.009, OR = 1.83), and negative propensity (P = 0.009, OR = 1.94; P = 0.014, OR = 2.74) were associated with MSDs in other staffs. CONCLUSIONS The prevalence of MSDs among industrial employees has changed. Frontline workers had different prevalence and risk factors for MSDs compared with other employees. Negative propensity to healthcare, limited ways to obtain health knowledge, and concomitant chronic diseases were associated with MSDs. Surprisingly, highly educated and high-income employees had a higher risk of MSDs.
Adolescent ; Adult ; Beijing ; epidemiology ; China ; epidemiology ; Cross-Sectional Studies ; Female ; Humans ; Male ; Middle Aged ; Musculoskeletal Diseases ; epidemiology ; Occupational Diseases ; epidemiology ; Occupational Injuries ; epidemiology ; Risk Factors ; Surveys and Questionnaires ; Young Adult