A prospective cohort study on socioeconomic status and risk of all-cause mortality among patients with type 2 diabetes based on latent class analysis.
10.3760/cma.j.cn112338-20220107-00010
- Author:
Yi Jia CHEN
1
;
Jian SU
2
;
Yu QIN
2
;
Chong SHEN
3
;
En Chun PAN
4
;
Hao YU
2
;
Yan LU
5
;
Ning ZHANG
6
;
Jin Yi ZHOU
2
;
Ming WU
2
Author Information
1. Department of Non-communicable Chronic Disease Control, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China.
2. Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
3. Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
4. Huai'an Center for Disease Control and Prevention, Huai'an 223001, China.
5. Department of Non-communicable Chronic Disease Control, Suzhou Center for Disease Control and Prevention, Suzhou 215004, China.
6. Changshu Center for Disease Control and Prevention, Changshu 215500, China.
- Publication Type:Journal Article
- MeSH:
United States;
Female;
Humans;
Male;
Middle Aged;
Latent Class Analysis;
Diabetes Mellitus, Type 2;
Prospective Studies;
Social Class;
Income
- From:
Chinese Journal of Epidemiology
2022;43(10):1619-1625
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To investigate the relationship between socioeconomic status (SES) and all-cause mortality in patients with type 2 diabetes. Methods: A total of 17 553 patients with type 2 diabetes were recruited under the National Basic Public Health Service Project in Changshu county, Qingjiangpu district, and Huai'an district in Huai'an city of Jiangsu province as participants. Latent class analysis was applied to classify the individuals based on five socioeconomic indicators. Then, Cox proportional hazards regression models were used to estimate the associations of different levels of SES with all-cause mortality, and stratified analysis was performed according to age and area. Results: Among 100 529.08 person-years of the fo1low-up, the median follow-up time was 5.7 years, and 1 829 deaths occurred during the follow-up period. According to the relevant results of the latent class model, the model of the "three classes" was the best. The related population was then divided into low SES (8 256 people, 47.0%), medium SES (4 427 people, 25.2%), and high SES groups (4 870 people, 27.8%). Compared to patients with high SES, the multivariate-adjusted hazard ratio (95%CI) of all-cause mortality associated with low SES for males and females were 1.84 (1.53-2.21) and 1.41 (1.51-1.72), respectively. Stratified analysis showed that the hazard ration (95%CI) of all-cause mortality associated with low SES for males and females were 1.99 (1.12-2.95) and 2.01 (1.20-3.23), respectively, in people younger than 60 years old, and were 1.90 (1.57-2.31) and 1.40 (1.13-1.73) in people over 60 years old. The HR values (95%CI) for all-cause mortality associated with low SES for the male and females were 1.54 (1.17-2.04) and 1.27 (1.02-1.59) in the urban population with 2.11 (1.55-2.85) and 2.64 (1.17-3.35) in rural population, respectively. Conclusions: Lower SES increased the risk of all-cause mortality in type 2 diabetic patients, which is more significant in younger and rural populations.
