Prevalence and factors associated with anxiety and depression in older adults: Gender differences in psychosocial indicators
Open accessAbstract
Background With increasing numbers of people living into old age, health functioning and good quality of life are central to public health policy in aging. However, quality of life for many elders is undermined by anxiety and depression. Understanding gender differences in the determinants of anxiety and depression symptoms is crucial to policy and practice. Objective To examine gender-specific symptom subtypes of later-life anxiety and depression, in relation to their socio-demographic, social and health context. Method Cross-sectional study using data from The Irish Longitudinal Study on Ageing (TILDA, 2009-2011). Latent class analysis defined gender-specific symptom profiles for anxiety and depression. Correlates of latent classes were analysed using logistic regression, assessing associations between socio-demographic factors; social indicators and health indicators. Results Four classes of self-reported anxiety and depression were derived: 'low', 'comorbidity', 'anxiety and subthreshold depression' and 'anxiety' only. With males 8% were comorbid, 26% subthreshold and 26% with anxiety only. With female 12% were comorbid, 27% subthreshold and 29% with anxiety only. While symptom expression may relate to stress from common ageing, our findings show clear gradations of symptoms associated with a range of social and health indicators. Conclusion Our findings support the actuality of comorbid depression and anxiety with further evidence for anxiety and subthreshold depression. A sizeable subgroup confirms that many older people experience anxiety only. Our study indicates the need for a more sensitive recognition of needs and a more nuanced policy agenda for older people towards improving the quality of their social life.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Interpersonal relationships played a dual role in women's anxiety: they constituted the main source of anxiety and acted as a protective factor.
“Thus, it seems that interpersonal relationships, which can be covered by partners, friends, family, acquaintances, etc., played a dual role in women's anxiety: on the one hand, they constituted the main source of anxiety, and on the other hand, they acted as a protective factor of it.35,44”
From Factors associated with gender and sex differences in anxiety prevalence and comorbidity: A systematic review (2022) · cites this paper as [35]
The most common comorbid anxiety disorders and/or symptoms in men are substance abuse, ADHD, and intermittent explosive disorder.
“the most common comorbid anxiety disorders and/or symptoms in men are substance abuse, attention deficit hyperactivity disorder (ADHD), and intermittent explosive disorder.35,43,47”
From Factors associated with gender and sex differences in anxiety prevalence and comorbidity: A systematic review (2022) · cites this paper as [35]
Cites
Loneliness and Social Isolation as Risk Factors for Mortality: A Meta-Analytic Review
Holt-Lunstad, J., Smith, T. B., Baker, M., Harris, T., & Stephenson, D. (2015) · Perspectives on Psychological Science · doi:10.1177/1745691614568352 · Cited by 6,043 · see citing works
From social integration to health: durkheim in the new millennium
Berkman, L. F., Glass, T., Brissette, I., & Seeman, T. E. (2000) · Social Science & Medicine · doi:10.1016/s0277-9536(00)00065-4 · Cited by 4,821 · see citing works
Hammen, C. (2005) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.1.102803.143938 · Cited by 2,979 · see citing works
Lewinsohn, P. M., Seeley, J. R., Roberts, R. E., & Allen, N. B. (1997) · Psychology and Aging · doi:10.1037/0882-7974.12.2.277 · Cited by 1,782 · see citing works
Social isolation: a predictor of mortality comparable to traditional clinical risk factors
Pantell, M., Rehkopf, D., Jutte, D., Syme, S. L., Balmes, J., & Adler, N. (2013) · American Journal of Public Health · doi:10.2105/ajph.2013.301261 · Cited by 696 · see citing works
Domènech-Abella, J., Mundó, J., Haro, J. M., & Rubio-Valera, M. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.12.043 · Cited by 469 · see citing works
A Longitudinal Analysis of Loneliness Among Older People in Great Britain
Victor, C. R., & Bowling, A. (2012) · The Journal of Psychology · doi:10.1080/00223980.2011.609572 · Cited by 322 · see citing works
Nicolaisen, M., & Thorsen, K. (2014) · The International Journal of Aging and Human Development · doi:10.2190/ag.78.3.b · Cited by 277 · see citing works
Evidence-based psychological treatments for late-life anxiety
Ayers, C. R., Sorrell, J. T., Thorp, S. R., & Wetherell, J. L. (2007) · Psychology and Aging · doi:10.1037/0882-7974.22.1.8 · Cited by 235 · see citing works
A lifespan view of anxiety disorders
Lenze, E. J., & Wetherell, J. L. (2011) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2011.13.4/elenze · Cited by 227 · see citing works
TRANSDIAGNOSTIC TREATMENT FOR ANXIETY AND DEPRESSION: The Cutting Edge: Transdiagnostic Therapy
Craske, M. G. (2012) · Depression and Anxiety · doi:10.1002/da.21992 · Cited by 208 · see citing works
Depressive episodes–evidence for a causal role of primary anxiety disorders?
Wittchen, H.-U., Beesdo, K., Bittner, A., & Goodwin, R. D. (2003) · European Psychiatry · doi:10.1016/j.eurpsy.2003.10.001 · Cited by 171 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Farhane-Medina, N. Z., Luque, B., Tabernero, C., & Castillo-Mayén, R. (2022) · Science Progress · doi:10.1177/00368504221135469 · Cited by 409 · see citing works
“, played a dual role in women’s anxiety: on the one hand, they constituted the main source of anxiety, and on the other hand, they acted as a protective factor of it.(35,44) The political, economic, and social situation, individually and globally, may also have a differential effect on women’s and men’s mental health,…”
BackgroundZhang, R., Peng, X., Song, X., Long, J., Wang, C., Zhang, C., Huang, R., & Lee, T. M. C. (2023) · Psychological Medicine · doi:10.1017/s0033291722000241 · Cited by 174 · see citing works
Jalali, A., Ziapour, A., Karimi, Z., Rezaei, M., Emami, B., Kalhori, R. P., Khosravi, F., Sameni, J. S., & Kazeminia, M. (2024) · BMC Geriatrics · doi:10.1186/s12877-024-05311-8 · Cited by 171 · see citing works
- Authors
- Curran, E., Rosato, M., Ferry, F., & Leavey, G.
- Affiliations
- University of Ulster (GB)
- Corresponding author
- Curran, Emma
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 267
- Pages
- 114-122
- ISSN
- 0165-0327 (ISSN-L)
- OpenAlex
- W3005044841
- Cited by
- 149
- References
- 12
- Citations by year
- 2026: 17 · 2025: 32 · 2024: 33 · 2023: 21 · 2022: 25 · 2021: 17 · 2020: 4
- FWCI
- 12.56
- Type
- journal article
- Language
- en
- Open access
- green
- pure.ulster.ac.uk
- Licence
- Locations
- Journal of Affective Disorders (publishedVersion)
- PubMed (publishedVersion)
- Ulster University Research Portal (Ulster University) (submittedVersion, other-oa)
- Funders
- Economic and Social Research Council (ES/L007509/1)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Social Sciences › Psychology › Clinical Psychology › Health and Well-being Studies
- Keywords
- anxiety, depression, older adults, gender differences, subthreshold depression, comorbid depression and anxiety, symptom profiles, social determinants of mental health, Irish Longitudinal Study on Ageing
- MeSH terms
- Aged, Aged, 80 and over, Anxiety, Cross-Sectional Studies, Depression, Female, Humans, Longitudinal Studies, Male, Quality of Life, Sex Characteristics, Prevalence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review