title: A Longitudinal Analysis of the Association Between Living Arrangements and Health Among Older Adults in China.
abstract: This article used the nationally representative Chinese Longitudinal Healthy Longevity Survey to explore the associations between living arrangements and health among older adults. Living arrangements were stratified into six categories. Health was measured by self-rated health, activities of daily living (ADL) disability, and cognitive impairment. Random-effects ordered probit regressions were applied. The results indicated that coresidence had a positive effect on self-rated health compared with living alone. After introducing psychological well-being, the health differences observed in living with a spouse and living with both spouse and children were not significant. Participants with each of the living arrangement were more likely to have a higher rate of cognitive impairment and ADL disability than those living alone. Living arrangements were associated with older adults' health. Psychological well-being was a key factor in this association, which may result from living with a spouse, and could contribute to the self-rated health of older adults.
authors.affiliation: 1 State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Xiamen University, Xiamen, Fujian, China.|2 Key Laboratory of Health Technology Assessment of Fujian Province University, School of Public Health, Xiamen University, Xiamen, Fujian, China.
authors.forename: Zi
authors.initials: Z
authors.lastname: Zhou
authors.affiliation: 1 State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Xiamen University, Xiamen, Fujian, China.|2 Key Laboratory of Health Technology Assessment of Fujian Province University, School of Public Health, Xiamen University, Xiamen, Fujian, China.
authors.forename: Fanzhen
authors.initials: F
authors.lastname: Mao
authors.affiliation: 1 State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Xiamen University, Xiamen, Fujian, China.|2 Key Laboratory of Health Technology Assessment of Fujian Province University, School of Public Health, Xiamen University, Xiamen, Fujian, China.
authors.forename: Jiaping
authors.initials: J
authors.lastname: Ma
authors.affiliation: 1 State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Xiamen University, Xiamen, Fujian, China.|2 Key Laboratory of Health Technology Assessment of Fujian Province University, School of Public Health, Xiamen University, Xiamen, Fujian, China.
authors.forename: Shichao
authors.initials: S
authors.lastname: Hao
authors.affiliation: 3 Department of Epidemiology, Saint Louis University College for Public Health and Social Justice, St. Louis, MO, USA.
authors.forename: Zhengmin Min
authors.initials: ZM
authors.lastname: Qian
authors.affiliation: 4 Department of Health Management and Policy, Saint Louis University College for Public Health and Social Justice, St. Louis, MO, USA.
authors.forename: Keith
authors.initials: K
authors.lastname: Elder
authors.affiliation: 4 Department of Health Management and Policy, Saint Louis University College for Public Health and Social Justice, St. Louis, MO, USA.
authors.forename: Jason S
authors.initials: JS
authors.lastname: Turner
authors.affiliation: 1 State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Xiamen University, Xiamen, Fujian, China.|2 Key Laboratory of Health Technology Assessment of Fujian Province University, School of Public Health, Xiamen University, Xiamen, Fujian, China.
authors.forename: Ya
authors.initials: Y
authors.lastname: Fang
mesh_terms: D000203:Activities of Daily Living; D000368:Aged; D000369:Aged, 80 and over; D002681:China / Q000453:epidemiology; D003072:Cognition Disorders / Q000453:epidemiology*; D006233:Persons with Disabilities / Q000706:statistics & numerical data*; D005260:Female; D015577:Geriatric Assessment / Q000379:methods* / Q000706:statistics & numerical data; D006304:Health Status; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D012111:Residence Characteristics / Q000706:statistics & numerical data*
keywords: health; living arrangements; older adults; probit model; random effects