糖尿病
医学
危险系数
老年学
比例危险模型
人口
入射(几何)
职业安全与健康
环境卫生
人口学
物理疗法
置信区间
内科学
内分泌学
社会学
病理
物理
光学
作者
Aviroop Biswas,Mahée Gilbert-Ouimet,Cameron Mustard,Richard H. Glazier,Peter M. Smith
标识
DOI:10.1016/j.amepre.2020.09.017
摘要
Introduction This study examines the separate and combined relationships between occupational physical activity (characterized by nonaerobic activities such as heavy lifting and prolonged standing) and leisure time physical activity on future diabetes incidence. Methods Data from Ontario respondents aged 35–74 years from the 2003 Canadian Community Health Survey (N=40,507) were prospectively linked to the Ontario Diabetes Database for diabetes cases until 2017, with statistical analysis performed in 2019. Leisure time physical activity was self-reported and occupational physical activity estimated from occupation titles. The analytical sample consisted of 7,026 employed people without previous diabetes diagnoses, with 846 diabetes cases recorded. Cox proportional hazard models were constructed to evaluate relationships over a median follow-up time of 13.7 years. Results No relationships were observed between occupational physical activity and diabetes. High leisure time physical activity was associated with lower diabetes risk for low occupational physical activity and stationary jobs (hazard ratio=0.63, 95% CI=0.47, 0.85). No association was found for high leisure time physical activity on diabetes risk for high occupational physical activity (hazard ratio=1.07, 95% CI=0.73, 1.56) or low occupational physical activity with movement (hazard ratio=0.92, 95% CI=0.55, 1.55). Conclusions This study suggests that physical activity recommendations exclusively recommending increased physical activity may only be effective for the sedentary part of the working population in reducing diabetes risk. Findings await confirmation in comparable prospective studies in other populations. This study examines the separate and combined relationships between occupational physical activity (characterized by nonaerobic activities such as heavy lifting and prolonged standing) and leisure time physical activity on future diabetes incidence. Data from Ontario respondents aged 35–74 years from the 2003 Canadian Community Health Survey (N=40,507) were prospectively linked to the Ontario Diabetes Database for diabetes cases until 2017, with statistical analysis performed in 2019. Leisure time physical activity was self-reported and occupational physical activity estimated from occupation titles. The analytical sample consisted of 7,026 employed people without previous diabetes diagnoses, with 846 diabetes cases recorded. Cox proportional hazard models were constructed to evaluate relationships over a median follow-up time of 13.7 years. No relationships were observed between occupational physical activity and diabetes. High leisure time physical activity was associated with lower diabetes risk for low occupational physical activity and stationary jobs (hazard ratio=0.63, 95% CI=0.47, 0.85). No association was found for high leisure time physical activity on diabetes risk for high occupational physical activity (hazard ratio=1.07, 95% CI=0.73, 1.56) or low occupational physical activity with movement (hazard ratio=0.92, 95% CI=0.55, 1.55). This study suggests that physical activity recommendations exclusively recommending increased physical activity may only be effective for the sedentary part of the working population in reducing diabetes risk. Findings await confirmation in comparable prospective studies in other populations.
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