Adaptation and Validation of the Perceived Community Support Questionnaire (PCSQ) for Older Chinese Adults (76810)

Session Information: Aging and Gerontology
Session Chair: Feng-Shuo Chang

Thursday, 28 March 2024 15:00
Session: Session 4
Room: Room 609
Presentation Type: Oral Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

Community support has a profound positive impact on older adults’ health and plays a crucial role in facilitating aging in place. This impact is particularly significant in the Chinese context, where community support contributes to alleviating the pressure of traditional family caregiving. This study aimed to translate, adapt, and validate the perceived community support questionnaire (PCSQ) among older Chinese adults. Data for this validation study were collected from a cross-sectional survey of 1,064 older Chinese adults aged 65 years or above. Following the cultural adaptation of the PCSQ-14, confirmatory factor analysis (CFA) was conducted to examine its factor structure. Criterion validity, convergent and discriminant validity, internal consistency reliability, and test-retest reliability of the scale were also assessed.
The adapted PCSQ-14 yielded a three-factor solution consisting of community integration, community participation, and the use of community organizations based on the results of CFA. Criterion-related validity was supported by its significant correlation with depression. Convergent and discriminant validity were established in the scale. The internal consistency of the scale was 0.904. The test-retest reliability of the scale was supported by an intraclass correlation coefficient of 0.783.
Discussion and Implications: The adapted PCSQ-14 demonstrated promising psychometric properties in assessing perceived community support among older Chinese adults. The PCSQ-14 enables researchers to capture a comprehensive picture of how older adults perceive community support. It also helps practitioners and policymakers develop targeted interventions for older adults and allocate resources effectively.

Run-Ping Che, The Chinese University of Hong Kong, Hong Kong
Mei-Chun Cheung, The Chinese University of Hong Kong, Hong Kong

About the Presenter(s)
Ms Run-ping CHE is a University Doctoral Student at The Chinese University of Hong Kong in Hong Kong

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00