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Li P, Zhong J, He Y, Yan H, Xie M, Meng L. Loneliness and depression among community-dwelling older adults in China during the COVID-19 epidemic: The mediating role of social support. Medicine (Baltimore) 2023; 102:e35171. [PMID: 37713830 PMCID: PMC10508438 DOI: 10.1097/md.0000000000035171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 08/21/2023] [Indexed: 09/17/2023] Open
Abstract
The psychological condition of community-dwelling older adults is a global concern under coronavirus disease 2019. Loneliness is the key risk factor for depression among community-dwelling older adults. This study aims to explore the role of social support as a mediating factor in the relationship between depression and loneliness among community-dwelling older adults. We conducted a cross-sectional study in Chenzhou, Hunan Province, China, from June to December 2021. The sample consisted of 570 community-dwelling adults aged over 60 years. Data were collected through a general information questionnaire, the Social Support Rating Scale, the University of California at Los Angeles Loneliness Scale, and the Center for Epidemiological Survey, Depression Scale. Statistical Package for the Social Sciences PROCESS macro was used to examine the mediating effect of social support between loneliness and depression. This study found that depression was negatively associated with social support (r = -0.381, P < .001), but it was positively correlated with loneliness (r = 0.403, P < .001); loneliness was a predictor of depression (B = 0.333, P < .001). In addition, social support significantly mediated the relationship between loneliness and depression, with an indirect effect of 0.239 (95% Bootstrap CI -0.264 to -0.510), the overall effect value for depression was 0.572, accounting for 56.3% of the total variance in depression within this model. In conclusion, the findings suggest that social support plays a mediating role between depression and loneliness in older adults. This implies that interventions aimed at reducing loneliness and enhancing social support have the potential to alleviate depressive symptoms among this population. By addressing these factors, healthcare professionals and caregivers can promote the mental well-being of older adults and contribute to improved overall quality of life.
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Affiliation(s)
- Pan Li
- School of Nursing, Xiangnan University, Chenzhou, China
- College of Nursing and Allied Health Sciences, St. Paul University Manila, Malate Manila, Philippines
| | - Jiaming Zhong
- University Library, Xiangnan University, Chenzhou, China
| | - Yongmei He
- School of Nursing, Xiangnan University, Chenzhou, China
| | - Hairong Yan
- School of Nursing, Xiangnan University, Chenzhou, China
| | - Mi Xie
- School of Nursing, Xiangnan University, Chenzhou, China
| | - Lingyao Meng
- School of Nursing, Xiangnan University, Chenzhou, China
- College of Nursing and Allied Health Sciences, St. Paul University Manila, Malate Manila, Philippines
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Cao C, Cao W, Zheng X, Ji K, Wu Y, Hu Z, Chen R, Bai Z. Association of social capital with self-perceived eHealth literacy among community-dwelling older people: Age and gender differences. Front Public Health 2023; 11:1088863. [PMID: 37124820 PMCID: PMC10140563 DOI: 10.3389/fpubh.2023.1088863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 03/07/2023] [Indexed: 05/02/2023] Open
Abstract
Background Studies have confirmed that social factors, including social capital and eHealth literacy, are important in later life. Currently, few studies are available for determining the relationship between social capital and eHealth literacy, and whether such a relationship exists among older people and there are age and gender differences in the relationship remain unclear. Consequently, this study aimed to investigate the association between social capital and eHealth literacy, specifically examing its variations in age and gender. Methods A cross-sectional study of 4,257 residents aged ≥ 60 years and dwelling in the community was conducted across four cities in China. A structured questionnaire was used to collect data on general characteristics, socioeconomic status, social capital, and eHealth literacy. Generalized linear models were employed to assess these associations. Results There were 4,218 respondents (age 71.9 ± 7.2 years; 64.8% women). Overall, social participation, social connection, trust, cohesion, and reciprocity were all statistically associated with eHealth literacy (p < 0.05), while such an association was not observed for social support (p > 0.05). Specifically, a higher level of social participation was associated with better eHealth literacy scores among participants aged 70-79 years (p < 0.001), and a higher level of social connection was associated with better eHealth literacy scores for those aged 60-69 and 70-79 years (p < 0.001). Meanwhile, no gender differences in the associations were found. Conclusion There is an association between social capital and eHealth literacy in older men and women. The association varis with age. The findings provide a reference for developing targeted measures to improve self-perceived eHealth literacy among older people. It is essential for achieving active and healthy aging and developing the knowledge and understanding of relevant theories, concepts, and evidence within the field of health and social capital.
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Affiliation(s)
- Chenglin Cao
- Department of Health Services Management, School of Health Services Management, Anhui Medical University, Hefei, China
| | - Wenwen Cao
- Department of Health Services Management, School of Health Services Management, Anhui Medical University, Hefei, China
| | - Xin Zheng
- Department of Health Services Management, School of Health Services Management, Anhui Medical University, Hefei, China
| | - Kai Ji
- Department of Health Services Management, School of Health Services Management, Anhui Medical University, Hefei, China
| | - Yunwei Wu
- Department of Health Services Management, School of Health Services Management, Anhui Medical University, Hefei, China
| | - Zhi Hu
- Department of Health Services Management, School of Health Services Management, Anhui Medical University, Hefei, China
- *Correspondence: Zhi Hu,
| | - Ruoling Chen
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, United Kingdom
- Ruoling Chen,
| | - Zhongliang Bai
- Department of Health Services Management, School of Health Services Management, Anhui Medical University, Hefei, China
- Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, United Kingdom
- Zhongliang Bai,
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Wickramaratne PJ, Yangchen T, Lepow L, Patra BG, Glicksburg B, Talati A, Adekkanattu P, Ryu E, Biernacka JM, Charney A, Mann JJ, Pathak J, Olfson M, Weissman MM. Social connectedness as a determinant of mental health: A scoping review. PLoS One 2022; 17:e0275004. [PMID: 36228007 PMCID: PMC9560615 DOI: 10.1371/journal.pone.0275004] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 09/08/2022] [Indexed: 11/29/2022] Open
Abstract
Public health and epidemiologic research have established that social connectedness promotes overall health. Yet there have been no recent reviews of findings from research examining social connectedness as a determinant of mental health. The goal of this review was to evaluate recent longitudinal research probing the effects of social connectedness on depression and anxiety symptoms and diagnoses in the general population. A scoping review was performed of PubMed and PsychInfo databases from January 2015 to December 2021 following PRISMA-ScR guidelines using a defined search strategy. The search yielded 66 unique studies. In research with other than pregnant women, 83% (19 of 23) studies reported that social support benefited symptoms of depression with the remaining 17% (5 of 23) reporting minimal or no evidence that lower levels of social support predict depression at follow-up. In research with pregnant women, 83% (24 of 29 studies) found that low social support increased postpartum depressive symptoms. Among 8 of 9 studies that focused on loneliness, feeling lonely at baseline was related to adverse outcomes at follow-up including higher risks of major depressive disorder, depressive symptom severity, generalized anxiety disorder, and lower levels of physical activity. In 5 of 8 reports, smaller social network size predicted depressive symptoms or disorder at follow-up. In summary, most recent relevant longitudinal studies have demonstrated that social connectedness protects adults in the general population from depressive symptoms and disorders. The results, which were largely consistent across settings, exposure measures, and populations, support efforts to improve clinical detection of high-risk patients, including adults with low social support and elevated loneliness.
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Affiliation(s)
- Priya J. Wickramaratne
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States of America
- Division of Translational Epidemiology, New York State Psychiatric Institute, New York, NY, United States of America
| | - Tenzin Yangchen
- Division of Translational Epidemiology, New York State Psychiatric Institute, New York, NY, United States of America
| | - Lauren Lepow
- Departments of Psychiatry and Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Braja G. Patra
- Division of Health Informatics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States of America
| | - Benjamin Glicksburg
- Departments of Psychiatry and Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Ardesheer Talati
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States of America
- Division of Translational Epidemiology, New York State Psychiatric Institute, New York, NY, United States of America
| | - Prakash Adekkanattu
- Department of Information Technologies and Services, Weill Cornell Medicine, New York, NY, United States of America
| | - Euijung Ryu
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States of America
| | - Joanna M. Biernacka
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States of America
| | - Alexander Charney
- Departments of Psychiatry and Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - J. John Mann
- Division of Molecular Imaging and the Neuropathology, Departments of Psychiatry and Radiology, New York State Psychiatric Institute, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States of America
| | - Jyotishman Pathak
- Division of Health Informatics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States of America
| | - Mark Olfson
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States of America
| | - Myrna M. Weissman
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States of America
- Division of Translational Epidemiology, New York State Psychiatric Institute, New York, NY, United States of America
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Simandan D. Social capital, population health, and the gendered statistics of cardiovascular and all-cause mortality. SSM Popul Health 2021; 16:100971. [PMID: 34988279 PMCID: PMC8710984 DOI: 10.1016/j.ssmph.2021.100971] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 11/15/2021] [Indexed: 11/17/2022] Open
Abstract
Scholars in the field of population health need to be on the constant lookout for the danger that their tacit ideological commitments translate into systematic biases in how they interpret their empirical results. This contribution illustrates this problematic by critically interrogating a set of concepts such as tradition, trust, social capital, community, or gender, that are routinely used in population health research even though they carry a barely acknowledged political and ideological load. Alongside this wider deconstruction of loaded concepts, I engage critically but constructively with Martin Lindström et al.'s paper “Social capital, the miniaturization of community, traditionalism and mortality: A population-based prospective cohort study in southern Sweden” to evaluate the extent to which it fits with other empirical findings in the extant literature. Taking as a point of departure the intriguing finding that social capital predicts cardiovascular and all-cause mortality only for men, but not for women, I argue that future research on the nexus of social capital, health, and mortality needs to frame gender not only as a demographic and statistical variable, but also as an ontological conundrum and as an epistemological sensibility.
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Affiliation(s)
- Dragos Simandan
- Faculty of Social Sciences, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, Ontario, Canada, L2S 3A1
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