Evidence map›Paper›PMID 41342000›Full record

ArticleFrontiers in sociology2025

Psychometric properties of the Arabic version of the Age-Friendly Cities and Communities Questionnaire (AFCCQ-Arabic).

Hanan AboJabel, Liat Ayalon, Jeroen Dikken, Joost van Hoof

Abstract read
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Article in Frontiers in sociology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hanan AboJabelThe Paul Baerwald School of Social Work and Social Welfare, Mount Scopus Jerusalem, The Hebrew University of Jerusalem, Jerusalem, Israel.
Liat AyalonLouis and Gabi Weisfeld School of Social Work, Bar Ilan University, Ramat Gan, Israel.
Jeroen DikkenResearch Group of Urban Ageing, Faculty of Social Work and Education, The Hague University of Applied Sciences, The Hague, Netherlands.
Joost van HoofResearch Group of Urban Ageing, Faculty of Social Work and Education, The Hague University of Applied Sciences, The Hague, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: The World Health Organization has promoted the concept of Age-Friendly Cities and Communities (AFCC) as a response to global population aging. This approach aims to adapt physical and social environments to the needs of older adults, particularly in the context of ongoing urbanization. The Age-Friendly Cities and Communities Questionnaire (AFCCQ) was designed to assess older adults' perceptions of age-friendliness in their communities but has not yet been validated in Arabic. This study aimed to translate, culturally adapt, and evaluate the psychometric properties of the Arabic version of the AFCCQ (AFCCQ-Arabic), and to assess how older Arabs in Israel perceive the age-friendliness of their communities. This population is an ethnic minority facing dual challenges given its age and minority status. Methods: A cross-sectional sample of 202 Arab adults aged 60 and above was recruited through convenience sampling. Data were collected through face-to-face interviews using the AFCCQ-Arabic, which includes 23 items across nine domains. Results: The AFCCQ-Arabic demonstrated overall acceptable psychometric properties among older Arabs in Israel. Face and content validity were supported. Construct validity was assessed using Confirmatory Factor Analysis (CFA). The original model demonstrated good fit indices (CFI = 0.922; TLI = 0.900; RMSEA = 0.064; SRMR = 0.072). Most domains showed acceptable Composite Reliability (CR) values, indicating good internal consistency. However, item 3 demonstrated a low factor loading and reduced the CR value of the social participation domain. Additionally, the civic participation and employment domain showed low reliability (CR = 0.28). Domain-level scores revealed diverse perceptions of age-friendliness: high scores in respect and social inclusion, housing, civic participation and employment, and community support and health services; moderate scores in social participation, and communication and information; and low scores in transportation, outdoor spaces and buildings, and financial situation. Conclusion: Despite some psychometric limitations, the AFCCQ-Arabic was found to be reliable, valid, and culturally appropriate for use among older Arab adults in Israel. The variation in domain scores indicates service, infrastructure, and economic security gaps in Arab communities, underscoring the need for targeted policy interventions to promote equitable aging.

Indexed as

age-friendly cities and communitiesArabic AFCCQArab minorityolder adultspsychometric validation

Identifiers

PMID41342000
PMCPMC12671452

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.