Adversity, Coping Repertoire, and Psychological Well-Being of Chinese Older Immigrants in the United States

Man Guo; Yi Wang; Jinyu Liu; Meredith Stensland; XinQi Dong

doi:10.1093/geroni/igaa057.2128

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Adversity, Coping Repertoire, and Psychological Well-Being of Chinese Older Immigrants in the United States

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Adversity, Coping Repertoire, and Psychological Well-Being of Chinese Older Immigrants in the United States

Man Guo, Yi Wang, Jinyu Liu, Meredith Stensland and XinQi Dong

Innovation in aging, Vol.4(Suppl 1), pp.624-624

12/16/2020

DOI: 10.1093/geroni/igaa057.2128

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Abstract

Using data from 2,923 Chinese older immigrants in Chicago, this study aims to identify different patterns of coping repertoires of older immigrants, based on a combination of individual, family and community coping resources, and the optimal coping repertoire that is associated with the best psychological outcomes. The results of Latent Class Analysis revealed four types of coping repertoires: low-resource (43%), spouse-oriented (32%), community-oriented (15%), and multi-source coping repertoire (10%). Overall, immigrants who had multi-source coping repertoire reported the best psychological outcomes. However, the influence of coping repertoires varied based on specific adversities. Having community-oriented coping repertoire was more protective for widowed immigrants, whereas spouse- or community-oriented coping repertoire was more protective for those with poor health. For less-acculturated older immigrants, having community-oriented coping appears most beneficial to their well-being; and for older immigrants who perceived low filial support from their children, having multi-source coping was associated with better psychological well-being.

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SOC02600

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Title: Subtitle: Adversity, Coping Repertoire, and Psychological Well-Being of Chinese Older Immigrants in the United States
Creators: Man Guo - University of Iowa
Yi Wang - University of Iowa
Jinyu Liu - Weatherhead East Asian institute, New York City, New York, United States
Meredith Stensland - The University of Texas at Austin
XinQi Dong - Rutgers, The State University of New Jersey
Resource Type: Abstract
Publication Details: Innovation in aging, Vol.4(Suppl 1), pp.624-624
DOI: 10.1093/geroni/igaa057.2128
ISSN: 2399-5300
eISSN: 2399-5300
Publisher: Oxford University Press
Language: English
Date published: 12/16/2020
Academic Unit: School of Social Work
Record Identifier: 9984307238402771

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