Changes in depressive symptoms before and after the first stroke: A longitudinal study from China Family Panel Study (CFPS).

OBJECTIVES: The study sought to examine the impact of longitudinal changes in depressive symptoms in middle-aged adults before and after their first stroke, and the impact of different ages. METHODS: The study monitored middle-aged patients with a first stroke in the China Family Panel Study (CFPS) survey from 2016 to 2020. This study examined longitudinal changes in depressive symptoms in middle-aged adults and their controls before and after stroke using multilevel models, and also explored factors influencing middle-aged adults at the time of their respective stroke and depressive symptoms using conditional regression models and stepwise regression models, respectively. A chi-square test was used to determine whether long-term changes in depressive symptoms in patients before and after stroke could be attributed to changes in a single depressive symptom. RESULTS: The study identified 582 first-time stroke patients and 5522 controls from a population of 17,588 participants. Middle-aged populations may have an increased risk of depressive symptoms after a first stroke compared to older populations. First-time stroke victims showed increased severity of depressive symptoms in both the two years before and the two years after stroke when depressive symptoms were assessed. Differences in the presentation of a single depressive symptom were most pronounced in sleep-related symptoms. CONCLUSIONS: The link between first stroke and changes in the trajectory of increased depressive symptoms is complex and bidirectional. Age is an important factor influencing changes in depressive symptoms, some attention should be paid to the middle-aged population. Special attention should also be paid to sleep-related symptoms in the long-term care of patients.

Association between internal migration experience and depressive symptoms: analysis of PSID data.

BACKGROUND: Depression is on the rise globally. Additionally, the United States has a high level of population mobility. The main aim of this study was to provide a reference for improving the mental health of internal migrants by investigating the relationship between internal migration experience and depressive symptoms. METHODS: We analysed data from the Panel Study of Income Dynamics (PSID). We included PSID data from the 2005 to 2019 waves in which all respondents were asked about their internal migration experience and depressive symptoms. This study included 15,023 participants. T tests, chi-square tests, multiple logistic regression methods were performed and fixed effects model. RESULTS: In the sample, the prevalence of depressive symptoms was 4.42%. The risk of depression in internal migrants was 1.259 times (OR = 1.259, 95% CI = (1.025-1.547, p < 0.05) that of nonmigrants. Internal migration experience was significantly positively associated with female depressive episodes (OR = 1.312, 95% CI = 1.010-1.704, p < 0.05) and increased risk of becoming depressed at a young age (OR = 1.304, 95% CI = 1.010-1.684, p < 0.05). The association between internal migration experience and depressive symptoms was more significant for participants who might move (OR = 1.459, 95% CI = 1.094-1.947, p < 0.05). In addition, different internal migratory causes are associated with depressive symptoms to varying degrees. CONCLUSIONS: Our findings highlight the need for greater policy attention to mental health inequalities between Internal migrants and those who never move away from their hometown in the United States. Our study provides a foundation for further research.