Dynamic change of depression in diabetic patients based on the latent growth curve model
- VernacularTitle:基于潜变量增长曲线模型的糖尿病患者抑郁状况动态变化研究
- Author:
Haiwei HOU
1
;
Yaling ZHAO
1
;
Fangyao CHEN
1
;
Lingxia ZENG
1
;
Leilei PEI
1
Author Information
- Publication Type:Journal Article
- Keywords: propensity score matching; latent growth curve model; diabetes; depression
- From: Journal of Xi'an Jiaotong University(Medical Sciences) 2022;43(4):588-593
- CountryChina
- Language:Chinese
- Abstract: 【Objective】 To explore the dynamic change of depression in diabetic patients so as to provide evidence for early detection and warning of psychological problems in diabetic patients. 【Methods】 Based on the data from the China Health and Retirement Longitudinal Study （CHARLS）， the propensity score matching method was used to eliminate confounding factors in the study. The linear growth model， the nonlinear quadratic growth model， and the growth model without defined curve type were fitted respectively. According to the fitting indices of the models， the optimal solution of the growth function was determined to explore the changes of depression development in the diabetic patients. 【Results】 A total of 5 711 cases （5 380 cases in the non-diabetic group and 331 cases in the diabetic group） were included in the study. After propensity score matching， 1 621 cases （1 291 cases in the non-diabetic group and 330 cases in the diabetic group） were included and all confounding factors were balanced between the two groups. By fitting three growth curve models with latent variables， the results showed that the model without defined curve type was better than the other two models. The mean depression score for initial status in the non-diabetic and diabetic groups was 9.640 and 10.097， respectively， with significant inter-individual differences. During the follow-up period， the depression status of both groups showed a trend of decrease first and then increase， but the depression score was always lower in the non-diabetic group than in the diabetic group. At the same time， there was no individual difference in the rate of change between the two groups， and there was no statistical difference between the initial depression score and the subsequent slope of change. 【Conclusion】 Exploring the change track of depression status over time in diabetic patients， understanding the individual psychological change trend and further explaining the differences between individuals are of great significance for intervention on psychological status at different stages.
