Back

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.

2026-03-20 psychiatry and clinical psychology
10.64898/2026.03.13.26348137 medRxiv
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.

1
PLOS ONE
4510 papers in training set
Top 9%
18.9%
2
Social Psychiatry and Psychiatric Epidemiology
11 papers in training set
Top 0.1%
9.3%
3
BJPsych Open
25 papers in training set
Top 0.1%
8.5%
4
BMJ Open
554 papers in training set
Top 3%
7.3%
5
Age and Ageing
27 papers in training set
Top 0.1%
4.2%
6
Psychiatry Research
35 papers in training set
Top 0.4%
4.2%
50% of probability mass above
7
BMC Psychiatry
22 papers in training set
Top 0.1%
4.0%
8
The British Journal of Psychiatry
21 papers in training set
Top 0.3%
2.8%
9
Frontiers in Psychiatry
83 papers in training set
Top 1%
2.6%
10
International Journal of Environmental Research and Public Health
124 papers in training set
Top 3%
2.1%
11
BMC Public Health
147 papers in training set
Top 3%
1.9%
12
Journal of the American Medical Directors Association
13 papers in training set
Top 0.2%
1.9%
13
Frontiers in Public Health
140 papers in training set
Top 4%
1.8%
14
Journal of Affective Disorders
81 papers in training set
Top 0.9%
1.7%
15
Scientific Reports
3102 papers in training set
Top 58%
1.7%
16
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
38 papers in training set
Top 0.7%
1.5%
17
Journal of Medical Internet Research
85 papers in training set
Top 3%
1.5%
18
Journal of Psychiatric Research
28 papers in training set
Top 0.5%
1.4%
19
Social Science & Medicine
15 papers in training set
Top 0.7%
1.0%
20
Frontiers in Psychology
49 papers in training set
Top 0.9%
1.0%
21
Palliative Medicine
10 papers in training set
Top 0.2%
0.8%
22
Translational Psychiatry
219 papers in training set
Top 4%
0.8%
23
Acta Neuropsychiatrica
12 papers in training set
Top 0.9%
0.8%
24
European Psychiatry
10 papers in training set
Top 0.6%
0.8%
25
BMJ Mental Health
15 papers in training set
Top 0.5%
0.7%
26
Wellcome Open Research
57 papers in training set
Top 3%
0.7%
27
Psychiatry and Clinical Neurosciences
11 papers in training set
Top 0.5%
0.5%