Age and sex-related variability in the presentation of generalized anxiety and depression symptoms
- PMID: 34496112
- DOI: 10.1002/da.23213
Age and sex-related variability in the presentation of generalized anxiety and depression symptoms
Abstract
Background: Generalized anxiety and depression are extremely prevalent and debilitating. There is evidence for age and sex variability in symptoms of depression, but despite comorbidity it is unclear whether this extends to anxiety symptomatology. Studies using questionnaire sum scores typically fail to address this phenotypic complexity.
Method: We conducted exploratory and confirmatory factor analyses on Generalized Anxiety Disorder (GAD-7) and Patient Health Questionnaire (PHQ-9) items to identify latent factors of anxiety and depression in participants from the Genetic Links to Anxiety and Depression Study (N = 35,637; 16-93 years). We assessed age- and sex-related variability in latent factors and individual symptoms using multiple logistic regression.
Results: Four factors of mood, worry, motor, and somatic symptoms were identified (comparative fit index [CFI] = 0.99, Tucker-Lewis Index [TLI] = 0.99, root mean square error of approximation [RMSEA] = 0.07, standardized root mean square residuals [SRMR] = 0.04). Symptoms of irritability (odds ratio [OR] = 0.81) were most strongly associated with younger age, and sleep change (OR = 1.14) with older age. Males were more likely to report mood and motor symptoms (p < .001) and females to report somatic symptoms (p < .001).
Conclusion: Significant age and sex variability suggest that classic diagnostic criteria reflect the presentation most commonly seen in younger males. This study provides avenues for diagnostic adaptation and factor-specific interventions.
Keywords: GAD-7; PHQ-9; factor analysis; factor scores; genetic links to anxiety and depression study; heterogeneity.
© 2021 The Authors. Depression and Anxiety published by Wiley Periodicals LLC.
References
REFERENCES
-
- Albert, P. R. (2015). Why is depression more prevalent in women? Journal of Psychiatry & Neuroscience, 40(4), 219-221. https://doi.org/10.1503/jpn.150205
-
- American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders, 5th edn. Washington, DC: American Psychiatric Association.
-
- Bailey, R., Mokonogho, J., & Kumar, A. (2019). Racial and ethnic differences in depression: Current perspectives. Neuropsychiatric Disease and Treatment, 15, 603-609.
-
- Ballard, E. D., Yarrington, J. S., Farmer, C. A., Lener, M. S., Kadriu, B., Lally, N., Williams, D., Machado-Vieira, R., Niciu, M. J., Park, L., & Zarate, C. A. (2018). Parsing the heterogeneity of depression: An exploratory factor analysis across commonly used depression rating scales. Journal of Affective Disorders, 231, 51-57. https://doi.org/10.1016/j.jad.2018.01.027
-
- Bartlett, M. S. (1950). Tests of significance in factor analysis. British Journal of Statistical Psychology, 3(2), 77-85. https://doi.org/10.1111/j.2044-8317.1950.tb00285.x