Evidence map›Paper›PMID 42848756›Full record

ArticlePloS one2026

Older adults' beliefs about coping strategies for anxiety: A UK-based multicultural qualitative study informed by Leventhal's Common-Sense Model of Self-Regulation.

Rasha Alkholy, Penny Bee, Rebecca Pedley, Karina Lovell

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Rasha AlkholyDivision of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.ORCID https://orcid.org/0000-0002-0283-9569
Penny BeeDivision of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
Rebecca PedleyDivision of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
Karina LovellDivision of Nursing, Midwifery and Social Work, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimOlder adults experiencing anxiety disorders, particularly those from minority ethnic backgrounds, are less likely to use formal mental health services than younger adults. This UK-based multicultural qualitative study explored beliefs underpinning coping strategies for anxiety among White British, South Asian, African and Caribbean older adults who self-reported anxiety, informed by Leventhal's Common-Sense Model.

methodsIndividual semi-structured interviews were conducted with 52 older adults aged ≥65 who self-reported current or past anxiety. Professional interpreters supported interviews with non-English-speaking participants (n = 10). Eight public contributors collaborated on different aspects of the study. Data were managed and analysed using the Framework Method.

findingsThe study drew on the perspectives of 27 participants with distressing anxiety and 25 with non-distressing anxiety. Across all cultural groups, participants adopted a range of coping strategies, with self-help strategies being the most prominent. Our findings suggest that coping strategy selection was shaped by factors extending beyond cultural background. Participants tended to adopt strategies that were congruent with their salient identities, perceived need for support, candidacy for healthcare, social relationships, and beliefs about the appropriateness and effectiveness of different responses. This complexity helps explain variation in perceptions both across and within cultural groups. Inductive analysis identified new dimensions not recognised in Leventhal's Model: factors underlying the motivation to take action, beliefs about treatment providers and new treatment-related beliefs.

conclusionsInterventions that support older adults to apply self-help strategies more effectively may represent acceptable adjuncts to formal therapy. Nevertheless, addressing barriers to formal help-seeking remains essential, particularly among those with perceived need for professional support. No one model can depict the complexity of coping behaviours. While applying Leventhal's Model offered novel insights, it could not fully capture the motivational factors underlying engagement with specific coping behaviours. Cross-cultural research should attend to within-group heterogeneity rather than impose assumptions of cultural homogeneity.

Indexed as

Adaptation, PsychologicalAnxietySelf-ControlAgedAged, 80 and overCoping SkillsCultural DiversityFemaleHumansMaleQualitative ResearchUnited Kingdom

Identifiers

PMID42848756
PMCPMC13648998

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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.