Estimating the Burden of Diabetes Attributable to the Working Population and Simulating the Effects of Risk Factor Control
10.11783/j.issn.1002-3674.2025.01.011
- VernacularTitle:油田员工糖尿病归因负担估计与危险因素控制效果模拟
- Author:
Yiran CUI
1
;
Simin HE
1
;
Qi WANG
1
Author Information
1. 中南大学湘雅公共卫生学院流行病与卫生统计学系(410078)
- Publication Type:Journal Article
- Keywords:
Diabetes;
Working population;
Attributable burden;
Risk factors
- From:
Chinese Journal of Health Statistics
2025;42(1):62-66
- CountryChina
- Language:Chinese
-
Abstract:
Objective This study estimated the disability burden of diabetes attributable to smoking,alcohol consumption,and obesity among oilemployees.It provides a comprehensive assessment of the major chronic disease burden attributable to these factors,offering a scientific basis for risk factor prevention and control.Methods Years lived with disability(YLD)was used as the burden indicator for diabetes among oilemployees.Based on the counterfactual attribution method within the comparative risk assessment framework,the population attributable fraction(PAF)for diabetes due to different behavioral risk factors was estimated.The attributable risk was calculated using the exposure rates of risk factors and their relative risk(RR)associated with related diseases,which was then used to compute the attributable YLD.A proportional change model was used to predict the YLD rates of chronic diseases among oilfield employees in 2030 under different risk factor control scenarios,calculating the YLD that could be avoided through risk factor control.Results According to the PAF calculated using the proportional risk assessment framework,the attributable burden of diabetes due to smoking,alcohol consumption,and obesity was higher in male employees than in females,with older females having a higher attributable burden,while middle-aged and young males had a higher burden.For males,achieving control targets for smoking,alcohol consumption,and obesity by 2030 would result in a decrease in diabetes YLD rates by 17.53％,3.52％,and 56.20％,respectively,compared to natural trends.For females,achieving these targets would decrease YLD rates by 1.18％,1.32％,and 26.47％,respectively.The largest decrease in YLD rates for both male and female employees occurred under the obesity control scenario.Conclusion By studying health risk factors and disease burdens among employees,oil companies can develop and implement targeted health management plans,enhancing employee health protection and improving work efficiency and productivity.
