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Background: In the context of rapid aging, "empty nest syndrome" is becoming a major public health concern. The causal effects of empty nest on depressive symptoms have been studied in developed countries, but the mediating mechanism of depressive symptoms in the association between empty nest and cognitive impairments has not been studied. This study estimated the causal association of empty nest with depressive symptoms and cognitive impairments in China, and then estimated how depression mediates the association between empty nest and cognitive impairments.Methods: Using data of 23,614 urban older adults (65+) obtained from the Shandong Province Aging and Mental Health Survey in 2020, a weighted linear regression model combined with instrumental variable was applied to explore the causal effects of empty nest, and a four-step mediation model was run to test the mediator of depressive symptoms. The Ascertain Dementia 8-item Questionnaire and Patient Health Questionnaire-9 were used to measure cognitive impairments and depressive symptoms.Results: Empty nest was associated with 0.13 (95%CI: 0.04-0.23) and 0.23 (95%CI: 0.14-0.33) increases in the Ascertain Dementia 8-item Questionnaire and the Patient Health Questionnaire-9 scores, respectively. The association between empty nest and the Ascertain Dementia 8-item Questionnaire scores was mediated by the Patient Health Questionnaire-9 scores.Conclusions: Empty nest affected depression in adulthood with cognitive impairments. A focus on integrative intervention for empty nesters is recommended, taking depression and cognition into account.Limitations: It is a cross-sectional study and the data is not nationally representative. [ABSTRACT FROM AUTHOR]

Background: Depression is characterized by debilitating symptoms and high recurrence rates, and there are relatively few large-scale epidemiological surveys of depressive disorders conducted in Shandong since 2005. Data from the largest Epidemiological Survey of Mental Disorders conducted in 2015 in Shandong were collected to investigate the prevalence of depressive disorders and associated demographic characteristics in general adult population.Methods: A multi-stage stratified cluster sampling method was adopted to select residents and a two-stage screening and assessment process was used to define the prevalence and characteristics of depressive disorders. Respondents were initially screened using the General Health Questionnaire followed by a structured clinical interview using the DSM-IV criteria.Results: Among 27,489 respondents who completed the survey, 1277 respondents met the diagnostic criteria for depressive disorders. The adjusted prevalence in the last month was 4.86%, among which the prevalence of major depressive disorder, dysthymia, and unspecified depressive disorder were 2.32%, 1.78%, and 0.75%, respectively. 40.35% of depression patients had moderate or severe functional impairment and only 10.65% of patients had visited a psychiatric service. Univariate and multivariate analyses revealed that age, gender, occupation, education, marital status, and urban/rural living were associated with the prevalence.Limitations: The key limitation is that this is a cross-sectional survey therefore cannot draw any causal relationship between risk factors and disease progression.Conclusions: Findings from this largest epidemiological study reveal current prevalence of depressive disorders and associated demographic factors and offers opportunities for policy makers and health-care professionals to improve mental health provision in Shandong. [ABSTRACT FROM AUTHOR]