Objective: Depression has become an important global public health problem. Despite the government's efforts, the outlook regarding the health issue of elderly depression in China is still not optimistic. This study explored the association between social activities and depressive symptoms among Chinese urban and rural elderly.
Methods: Data were collected from the 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS). The study sample included 5101 Chinese adults aged ≥ 65 years. Depressive symptoms were assessed using the 10-item Center for Epidemiologic Studies Depression Scale. Binary logistic regression analyses were used to explore the relationship between social activities and depressive symptoms.
Results: The prevalence rate of depressive symptoms in rural elderly is 1.37 times higher than that in urban elderly. The proportion of elderly persons participating in a social activity less than once monthly, or never having participated in social activities is higher in rural areas than in urban areas. The results from the logistic regression model analysis show that among rural elderly, visiting others' homes or interacting with friends at least once a month or once a week is positively associated with depressive symptoms. Playing cards or mahjong at least once a week or almost daily is negatively associated with depressive symptoms. Participating in organized social activities once a month is negatively associated with depressive symptoms. None of these five activities significantly correlate with depressive symptoms among urban older adults.
Conclusion: This study explored the differences in depressive symptoms among elderly populations in urban and rural China, as well as the impact of social activity participation on depressive symptoms. This study underscores the necessity of targeted social interventions in rural areas to enhance social participation among the elderly and reduce depressive symptoms.
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http://dx.doi.org/10.2147/PRBM.S460453 | DOI Listing |
J Transl Med
December 2024
Department of Neurology and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Huashan Hospital, Fudan University, Shanghai, China.
Background: Epilepsy, as a chronic noncommunicable disease with recurrent seizures, may be a marker of deterioration or alteration in other underlying neurological diseases. This study aimed to investigate the relationship of epilepsy with brain function, other common brain disorders, and their underlying mechanisms.
Methods: The study was based on clinical diagnostic and test data from 426,527 participants in the UK Biobank, of whom 3,251 were diagnosed with epilepsy at baseline.
BMC Psychiatry
December 2024
Department of Psychiatry, St. Paul's Hospital Millennium Medical College, Addis Ababa, Addis Ababa, Ethiopia.
Background: Problematic Internet use (PIU) is a growing concern in modern society. There is a limitation of epidemiologic data related to PIU. This is due to a lack of consensus on the definition and variability of assessment tools of PIU.
View Article and Find Full Text PDFBMC Psychiatry
December 2024
Social Development & Health Promotion Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Background: Anxiety during pregnancy is linked to adverse maternal and neonatal outcomes, as well as dissatisfaction with childbirth, and may contribute to the development of postpartum depression. This study aimed to evaluate the effect of mindfulness-based counselling on the anxiety levels and childbirth satisfaction among primiparous pregnant women.
Methods: This two-group, parallel, randomized controlled trial involved 60 eligible primiparous pregnant women who were referred to health centers in Kermanshah province (western Iran).
Mol Psychiatry
December 2024
Department of Psychiatry and Biobehavioral Sciences, Brain Research Institute, University of California Los Angeles, Los Angeles, CA, USA.
Major depressive disorder (MDD) often goes undiagnosed due to the absence of clear biomarkers. We sought to identify voice biomarkers for MDD and separate biomarkers indicative of MDD predisposition from biomarkers reflecting current depressive symptoms. Using a two-stage meta-analytic design to remove confounds, we tested the association between features representing vocal pitch and MDD in a multisite case-control cohort study of Chinese women with recurrent depression.
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