Literature DB >> 27441601

Gender differences in the experience of loneliness in U.S. Chinese older adults.

XinQi Dong1, Ruijia Chen1.   

Abstract

This study aimed to explore the gender differences in the experiences of loneliness in the U.S. Chinese older population. The data were drawn from the PINE study, a population-based study of U.S. Chinese adults aged 60 years and older. The Revised-University of California at Los Angeles Loneliness Scale (R-UCLA) was used to measure loneliness. Overall, older Chinese women (28.3%) had a higher rate of loneliness than older men (23.3%, p < .001). In particular, women were more likely to sometimes or often experience a lack of companionship than men (22.9% vs. 17.3%, p  < .001). Older women living with fewer people, with lower health status, poorer quality of life, and worsening health changes over the past year were more likely than men to experience any loneliness. This study indicates that gender differences exist in the prevalence, symptoms, and correlates of loneliness. Longitudinal studies should be undertaken to understand gender differences in risk factors and outcomes of loneliness.

Entities:  

Keywords:  Chinese; gender differences; loneliness; mental health; older women

Mesh:

Year:  2016        PMID: 27441601     DOI: 10.1080/08952841.2015.1080534

Source DB:  PubMed          Journal:  J Women Aging        ISSN: 0895-2841


  4 in total

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2.  Who Became Lonely during the COVID-19 Pandemic? An Investigation of the Socioeconomic Aspects of Loneliness in Japan.

Authors:  Mostafa Saidur Rahim Khan; Pattaphol Yuktadatta; Yoshihiko Kadoya
Journal:  Int J Environ Res Public Health       Date:  2022-05-20       Impact factor: 4.614

3.  The Association Between Personality and Loneliness: Findings From a Community-Dwelling Chinese Aging Population.

Authors:  Bei Wang; XinQi Dong
Journal:  Gerontol Geriatr Med       Date:  2018-07-17

4.  Uses and Gratifications Sought From Mobile Phones and Loneliness Among Japanese Midlife and Older Adults: A Mediation Analysis.

Authors:  Yihan Wang; Christina Matz-Costa; Julie Miller; Dawn C Carr; Florian Kohlbacher
Journal:  Innov Aging       Date:  2018-11-12
  4 in total

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