Exploring the relationship between depression and multimorbidity in Chinese middle-aged and older people based on propensity score matching

Abstract

BackgroundThis study aimed to explore the relationship between depression and multimorbidity among middle-aged and older people in China. MethodsThe cross-sectional study used the 2018 China Longitudinal Study of Health and Retirement and included a sample of 19,761 middle-aged and older adults aged 45 years and above. Propensity score matching was used to match samples of individuals with and without depression symptoms. The association between depression symptoms and multimorbidity and dose-response relationships were analyzed using logistic regression and restricted cubic spline (RCS) models for matched samples. ResultsLogistic regression analysis showed that the prevalence of multimorbidity was 1.49 times higher among middle-aged and older adults in the depression symptom group compared to the non-depression group (95% CI:1.24, 1.80). The RCS curves for the relationship between depression and multimorbidity showed an overall increasing trend (P = 0.028). And prevalence of arthritis and digestive disease in the depressed and non-depressed groups is 3.6% and 3.9%, respectively. LimitationsIt was difficult to draw conclusions about causation since the study was cross-sectional, and CESD-10 scores do not represent the population study finally diagnosed with depression, the conclusions should be promoted with caution. ConclusionsMiddle-aged and older people with depressive symptoms are more likely to have multimorbidity than non-depressed individuals. Furthermore, the likelihood of multimorbidity increases with higher depression scores, and the binary combinations were similarly distributed. Therefore, attention should be paid to the management of mental health in the middle-aged and older adult population to alleviate and prevent any mental health issues they might face.