{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,11]],"date-time":"2026-10-11T21:40:34Z","timestamp":1791754834815,"version":"4.3.4"},"reference-count":28,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2020,6,17]],"date-time":"2020-06-17T00:00:00Z","timestamp":1592352000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["310,422,111"],"award-info":[{"award-number":["310,422,111"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>multimorbidity contributes to a large portion of the disease burden in low- and middle-income countries. However, limited research has been undertaken in China. This study has investigated the prevalence of multimorbidity and the associations of multimorbidity with activities of daily living (ADL), instrumental activities of daily living (IADL) and depression in China.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>the study participants included 10,055 adults aged 45\u00a0years and older from three rounds of the China Health and Retirement Longitudinal Study 2011\u20132015. Random-effects logistic regression models were used to examine the association of multimorbidity with ADL limitation, IADL limitation and mental disease.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>the prevalence of multimorbidity amongst adults in China aged 45\u00a0years and older was 62.1% in 2015. The prevalence of multimorbidity was increased with older age, among women, in a higher socio-economic group and in the most deprived regions. Multimorbidity is associated with an increased likelihood of experiencing ADL limitation (adjusted odds ratio [AOR]\u2009=\u20095.738, 95% confidence intervals (CI)\u2009=\u20095.733, 5.744) and IADL limitation (AOR\u2009=\u20092.590, 95% CI\u2009=\u20092.588, 2.592) and depression (AOR\u2009=\u20093.352, 95% CI\u2009=\u20093.350, 3.354). Rural\u2013urban disparities in functional difficulties and depression were also found amongst patients with multimorbidity.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>the burden of multimorbidity is high in China, particularly amongst the older population. Multimorbidity is associated with higher levels of functional limitations and depression. China healthcare reforms should introduce integrated care models and patient-centred healthcare delivery. The increasing need for reorientation of healthcare resources considering the distribution of multimorbidity and its adverse effect requires more attention from health policymakers in China and other developing countries.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/ageing\/afaa117","type":"journal-article","created":{"date-parts":[[2020,5,21]],"date-time":"2020-05-21T11:07:32Z","timestamp":1590059252000},"page":"190-197","source":"Crossref","is-referenced-by-count":69,"title":["The effect of multimorbidity on functional limitations and depression amongst middle-aged and older population in China: a nationwide longitudinal study"],"prefix":"10.1093","volume":"50","author":[{"given":"Yang William","family":"Zhao","sequence":"first","affiliation":[{"name":"Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia"},{"name":"The George Institute for Global Health at Peking University Health Science Center, Beijing, 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