1.Change trend of compound obesity among different occupational groups in nine provinces of China from 1993 to 2018
Lixin HAO ; Yu WU ; Liusen WANG ; Lili CHEN ; Boya ZHAO ; Zhongting LU ; Zhihong WANG ; Bing ZHANG ; Hongru JIANG ; Huijun WANG
Journal of Environmental and Occupational Medicine 2026;43(2):160-167
Background The global prevalence of obesity is on the rise and is closely associated with various chronic non-communicable diseases such as cardiovascular diseases and diabetes. There is a relative lack of long-term dynamic studies on compound obesity among occupational populations. Objective To explore the changing trends of compound obesity among different occupational groups aged 18–59 years in nine provinces (autonomous regions, municipalities) of China from 1993 to 2018, and to provide a scientific basis for formulating targeted weight management strategies for occupational populations. Methods A total of
2.Association between changes in body mass index and hypertension among different occupational groups
Zhongting LU ; Lili CHEN ; Hongru JIANG ; Lixin HAO ; Liusen WANG ; Weiyi LI ; Yu WU ; Huijun WANG ; Bing ZHANG ; Jiguo ZHANG ; Zhihong WANG
Journal of Environmental and Occupational Medicine 2026;43(2):168-173
Background With rising obesity rates and earlier hypertension onset among occupational populations, there is an urgent need to elucidate the long-term cardiovascular impacts of dynamic body weight patterns. Current evidence lacks trajectory modeling studies examining occupation-specific prevention strategies. Objective To investigate the association between long-term body mass index (BMI) trajectories and incident hypertension risk in Chinese working adults, and to examine occupation-specific heterogeneity in this relationship. Methods A dynamic sub-cohort of 4 413 occupational participants was constructed from ten survey waves (1991–2018) of the China Health and Nutrition Survey (CHNS). Eligible individuals had valid key BMI records at three or more independent follow-ups before the outcome event; the individual baseline was set as the year of their first participation in the survey. Group-based trajectory modeling (GBTM) was used to identify BMI change patterns. Cox proportional hazards regression was used to calculate hazard ratios (HRs) and 95% confidence interval (CI) for hypertension incidence across trajectory groups, with stratified analysis by occupational categories. Results Among

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