1.Occupational Hazard Factors and the Trajectory of Fasting Blood Glucose Changes in Chinese Male Steelworkers Based on Environmental Risk Scores: A Prospective Cohort Study.
Ming Xia ZOU ; Wei DU ; Qin KANG ; Yu Hao XIA ; Nuo Yun ZHANG ; Liu FENG ; Fei Yue LI ; Tian Cheng MA ; Ya Jing BAO ; Hong Min FAN
Biomedical and Environmental Sciences 2025;38(6):666-677
OBJECTIVE:
We aimed to investigate the patterns of fasting blood glucose (FBG) trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers.
METHODS:
The study cohort included 3,728 workers who met the selection criteria for the Tanggang Occupational Cohort (TGOC) between 2017 and 2022. A group-based trajectory model was used to identify the FBG trajectories. Environmental risk scores (ERS) were constructed using regression coefficients from the occupational hazard model as weights. Univariate and multivariate logistic regression analyses were performed to explore the effects of occupational hazard factors using the ERS on FBG trajectories.
RESULTS:
FBG trajectories were categorized into three groups. An association was observed between high temperature, noise exposure, and FBG trajectory ( P < 0.05). Using the first quartile group of ERS1 as a reference, the fourth quartile group of ERS1 had an increased risk of medium and high FBG by 1.90 and 2.21 times, respectively (odds ratio [ OR] = 1.90, 95% confidence interval [ CI]: 1.17-3.10; OR = 2.21, 95% CI: 1.09-4.45).
CONCLUSION
An association was observed between occupational hazards based on ERS and FBG trajectories. The risk of FBG trajectory levels increase with an increase in ERS.
Humans
;
Male
;
Adult
;
Blood Glucose/analysis*
;
China
;
Prospective Studies
;
Occupational Exposure/adverse effects*
;
Risk Factors
;
Middle Aged
;
Steel
;
Fasting/blood*
;
Metal Workers
;
East Asian People
2.Neck musculoskeletal disorders and their influence factors among welders in an automobile factory.
Yan YAO ; Hai Rong LI ; Zhou LI ; Yong MEI ; Hao MA ; Jia Bing WU
Chinese Journal of Industrial Hygiene and Occupational Diseases 2022;40(1):28-32
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
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Cross-Sectional Studies
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Humans
;
Metal Workers
;
Musculoskeletal Diseases/epidemiology*
;
Occupational Diseases/epidemiology*
;
Prevalence
;
Risk Factors
;
Surveys and Questionnaires

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