Urban-rural disparities in depressive symptoms and related factors among offspring of advanced maternal mothers: A national cross-sectional study in China.

BACKGROUND: Urbanization remains an important factor affecting the mental health of people. Currently, there is insufficient research on depression among the offspring of women who have children at an advanced maternal age (AMA). The objective of this study is to investigate the urban and rural disparities in depressive symptoms among the offspring of AMA and related influencing factors. METHODS: In this study, a total of 1273 offspring born to AMA were selected from the fourth wave of the China Health and Retirement Longitudinal Study (CHARLS) database. The questionnaire used in the study included demographic information and the Center for Epidemiologic Studies Depression Scale (CESD). Chi-square tests and logistic regression analysis were employed to examine the urban-rural differences. RESULTS: The likelihood of developing depressive symptoms of the offspring of AMA in rural areas was 1.633 times higher (AOR = 1.633; 95%CI: 1.211-2.202) compared to their urban counterparts. Several factors including gender, education, marital status, disability, chronic diseases, and sleep duration showed a linkage with depression among rural based offspring of AMA. For the urban offspring of AMA, only disability and sleep duration exhibited a significant association with depressive symptoms. LIMITATIONS: This study cannot establish a causal relationship between depressive symptoms and the influencing factors for the offspring of AMA. Age range and variables of the respondents needs further consideration. CONCLUSIONS: This study has brought to light the elevated risk of depressive symptoms among rural-based offspring of AMA. Thus, emphasizing the urgent need for targeted interventions and measures to address the negative impact.

Factors related to the internal social capital of elderly-caring social organizations: a cross-sectional study in Chongqing, China.

BACKGROUND: Aging has given birth to the demand for high-quality elderly care service and social organizations (ESOs) are gradually taking on a supportive role in the field of elderly care services.. In view of this, our study is designed to examine influencing factors of social capital within the elderly-caring social organizations. METHOD: The study was conducted in four districts of Chongqing Province and a multi-stage random sampling method was used to sample 80 ESOs as subjects for the research. Through a meticulously crafted questionnaire, we gathered valuable data on internal social capital, basic information about the organization, and other variables. Univariate and Binary Logistic Regression analysis were performed on the data to explore the factors associated with social capital within the elderly-caring social organizations using IBM SPSS version 26.0. RESULT: The results showed that 67(83.8%) OF ESOs surveyed were A-type institutions and 13(16.3%) B-type institutions. Among them, 49(61.3%) institutions covered an area of more than 50m2.The institutions of ≤ 2 years were 33(41.3%), 21(26.3%) were established for ≤ 3 ≤ 8 years, and residual 26(32.5%) were institutions ˃ 8 years old. ESOs that possessed 4-6 management employees were 52.422 times more likely to score high for social support (p<0.05, OR = 52.422). Accommodating special care objects and hiring 16-30 employees were significantly linked to the shared language and shared vision dimension (p<0.001, OR = 0.8) and (p<0.05, OR = 8.672), respectively. and the overall social capital dimension (p<0.01, OR = 0.221) (p<0.05, OR = 5.730). CONCLUSION: ESOs with different basic conditions have different amounts of social capital. Factors such as the presence of special care and volunteer staff, a certain number of full-time staff as well as types of services rendered are accompanied with the higher internal social capital of ESOs.