Fang Yang1, Danan Gu2. 1. Department of Social Work, School of Sociology and Political Science, Shanghai University, Shanghai, China. 2. United Nations Population Division, New York, NY, USA.
Abstract
Objectives: We aim to examine what factors are predictive of loneliness incidence from a life course perspective and whether predictors differ between women and men based on a nationally representative longitudinal dataset in China. Method: A total of 5,043 older adults aged 65 or above from the Chinese Longitudinal Healthy Longevity Survey who were not lonely in the 2008 wave were included in the analysis. Logistic regression models were applied to examine what factors in the 2008 wave predicted loneliness incidence in the 2011 wave. Analyses were also stratified by gender to examine gender differences. Results: Older ages and self-rated poor health increased the odds, whereas receiving one or more years of schooling, rural-urban migration, living with family members, having a white-collar job, having a good family economic status, being currently married, having a higher resilience and social support decreased the odds of loneliness incidence. We also found gender differences: socioeconomic factors were significant only for older men, whereas self-rated health, resilience, and social support were significant only for older women. Conclusion: This study offers insights into disentangling the complexity of factors associated with loneliness incidence in Chinese older adults from a life course perspective and from a gendered perspective.
Objectives: We aim to examine what factors are predictive of loneliness incidence from a life course perspective and whether predictors differ between women and men based on a nationally representative longitudinal dataset in China. Method: A total of 5,043 older adults aged 65 or above from the Chinese Longitudinal Healthy Longevity Survey who were not lonely in the 2008 wave were included in the analysis. Logistic regression models were applied to examine what factors in the 2008 wave predicted loneliness incidence in the 2011 wave. Analyses were also stratified by gender to examine gender differences. Results: Older ages and self-rated poor health increased the odds, whereas receiving one or more years of schooling, rural-urban migration, living with family members, having a white-collar job, having a good family economic status, being currently married, having a higher resilience and social support decreased the odds of loneliness incidence. We also found gender differences: socioeconomic factors were significant only for older men, whereas self-rated health, resilience, and social support were significant only for older women. Conclusion: This study offers insights into disentangling the complexity of factors associated with loneliness incidence in Chinese older adults from a life course perspective and from a gendered perspective.
Authors: Gregorio Bevilacqua; Stefania D'Angelo; Georgia Ntani; Holly Emma Syddall; Elizabeth Clare Harris; Cathy Linaker; Martin Stevens; Cyrus Cooper; Karen Walker-Bone Journal: BMC Public Health Date: 2021-03-23 Impact factor: 3.295