Disability Weights Measurement Study for Health States in the Chinese Population:Comparison between Provinces and across Respondent Characteristics
10.11783/j.issn.1002-3674.2025.05.003
- VernacularTitle:中国人群健康状态伤残权重测算研究:基于省份、受访者特征的差异比较
- Author:
Xiaoxue LIU
1
;
Fang WANG
;
Wei HUI
Author Information
1. 江南大学医学院(214122);武汉大学公共卫生学院
- Publication Type:Journal Article
- Keywords:
Burden of disease;
Disability weight;
Influencing factors;
Paired comparison
- From:
Chinese Journal of Health Statistics
2025;42(5):655-660
- CountryChina
- Language:Chinese
-
Abstract:
Objective Disability weight(DW)is a fundamental parameter for accurately estimating the disease burden of a population.Comparing the DW differences between provinces and respondent characteristics can provide a basis for accurately obtaining the disease burden.Methods Probit regression analysis was conducted on the paired comparison data obtained from the Chinese Disability Weight Measurement Study during 2020 to 2021.Pearson's correlation r was used to investigate the relation of probit regression coefficients between respondent's characteristics,as well as provinces.Results Based on the probit regression coefficients of paired comparison data,stratified analysis was conducted on these factors including province,age,gender,education level,income level,medical background,occupation,and disease experience status.All Pearson's correlations(r)of probit coefficients between sub-groups based on respondent's characteristics and provinces were above 0.9(P＜0.001).However,the comparison of health states valuation across different provinces showed regional differences in DW estimates of cardiovascular and circulatory disease,diabetes,neurological disorders,mental,behavioral and substance use disorders,hearing and vision loss,and musculoskeletal disorders.The DW estimates for the health states of"epilepsy,less severe(seizures 1～11 per year)"showed the greatest difference between Xinjiang(DW=0.575)and Henan(DW=0.343)provinces.Conclusion There is a high correlation between respondent's characteristics for probit regression coefficients of health states.The comparison of DW estimates between different provinces indicates some differences in health state preferences among these populations.
