Older adults' beliefs about anxiety: A multicultural qualitative study informed by Leventhal's Common-Sense Model of Self-Regulation
Alkholy, R.; Lovell, K.; Pedley, R.; Bee, P.
Show abstract
Aim Anxiety disorders in older adults are commonly underdiagnosed and undertreated, especially among minority ethnic groups. This UK multicultural qualitative study aimed to explore and compare beliefs about anxiety among self-reporting White British, South Asian, African and Caribbean older adults, using Leventhal's Common-Sense Model. Methods Individual interviews were conducted with 52 older adults who self-reported anxiety (current or past). Data were managed and analysed using the Framework Method. Professional interpreters facilitated interviews with non-English speakers. Findings The study incorporated the perspectives of 27 older adults with distressing anxiety and 25 with non-distressing anxiety. Participants' beliefs mapped onto the illness-related dimensions in Leventhal's Common-Sense Model. Beliefs about anxiety differed across and within cultural groups, with notable distinctions between participants with distressing and non-distressing anxiety. Those with distressing anxiety neither normalised anxiety nor considered it as an illness trajectory. Overall, participants had a fragmented understanding of anxiety disorders. Specific aspects of older adults' beliefs were influenced by their salient identities rather than their cultural background. Two new dimensions were identified: aggravating factors, believed to trigger or exacerbate anxiety symptoms; protective factors, believed to alleviate or prevent mental health problems. Conclusions Applying Leventhal's Common-Sense Model to anxiety has yielded new insights with significant implications for understanding potential causes of low mental health services use among older adults. Grouping people into broad categories of cultural groups disregards the diversity among individuals within the same group. Cross-cultural research should embrace this diversity and employ nuanced approaches to provide meaningful, person-centred insights into people's perceptions of illness.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.