{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T08:46:09Z","timestamp":1772268369215,"version":"3.50.1"},"reference-count":48,"publisher":"PeerJ","license":[{"start":{"date-parts":[[2022,8,25]],"date-time":"2022-08-25T00:00:00Z","timestamp":1661385600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The Key\u00a0R&D\u00a0Program\u00a0of\u00a0Ningxia\u00a0Autonomous\u00a0Region","award":["2022BEG03106"],"award-info":[{"award-number":["2022BEG03106"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The mental well-being of older people has become social concern under aging times in China. Social capital has been linked to mental well-being. Our aims were to explore how social capital and the state of mental well-being of older people were changing and what the relationship between them was.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Data were from six waves of the China Family Panel Studies that were conducted between 2010 and 2020, and a total of 1,055 participants aged 60 and over were included in the analysis. The Generalized Estimated Equation model (GEE) was used to clarify the long-term relationship, and to use GEE we first defined how time points were related, in other words, an appropriate working correlation structure was supposed to choose. Therefore, correlation coefficient between measurements at two time points was calculated to choose the exchange structure. All the analyses were performed in the statistical software Stata 15.0.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The mental well-being of older people has deteriorated over time, especially we found that between 2014 and 2016, the mental well-being of older people plummeted. In addition, cognitive social capital was positively correlated with mental well-being, while structural social capital was inverse.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Policymakers are supposed to take into account the long-term impact of cognitive and structural social capital on the mental well-being of older people and to provide them with projects aimed at increasing cognitive social capital and turning the pressure of structural social capital into a source of happiness in life.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.7717\/peerj.13938","type":"journal-article","created":{"date-parts":[[2022,8,25]],"date-time":"2022-08-25T03:28:26Z","timestamp":1661398106000},"page":"e13938","source":"Crossref","is-referenced-by-count":5,"title":["Association between changes in social capital and mental well-being among older people in China"],"prefix":"10.7717","volume":"10","author":[{"given":"Huihui","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingni","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Science and Education, Qinghai Provincial People\u2019s Hospital, Xining, Qinghai Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenfan","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naifan","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of 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