Do socio-demographic factors significantly impact depression treatment?
Abstract
Introduction: Depression is a common illness worldwide. Several studies have confirmed a tight relation between certain socio-demographic factors and the risk of undergoing depression.
Aim: This study aims to find out which socio-demographic factors indicate a more unfavorable treatment outcome following depression assessment scales.
Material and Methods: The research is a longitudinal study, retrospective in design which consists of two phases. Upon entrance, socio-demographic data (sex, age, marital status, occupation, and education level) and Hamilton Depression Rating Scale (HDRS or HAMD) scores of 30 participants were recorded. After a four-week treatment, HAMD scores were again recorded and compared with those obtained in the initial phase.
Results: Patients with female gender, old age, employment, and low educational level as socio-demographic factors experienced weak changes in the HAMD scores. On the other hand, patients who claimed to be male, young aged, unemployed, and have higher education studies scored lower HAMD scores after treatment and, successfully obtained strong changes in the HAMD scores. Results for marital status were inconclusive.
Conclusion: Female gender, aging, lower education and employment are factors that may have attributed to a poor treatment improvement and hence should be taken into consideration by general practitioners. Likewise, marital status resulted to be a statistically significant factor. However, no inclination towards a specific category was noticed.
References
- Depression [Internet]. WHO. 2021[updated from 2021 Sep 13]. Available from: //https://www.who.int/news-room/fact-sheets/detail/depression
- Suicide [internet]. WHO. 2021 [updated from 17 Jun 2021]. Available from: https://www.who.int/news-room/fact-sheets/detail/suicide
- Depression and other common mental disorders: Global health estimates [Internet]. WHO. 2017 [updated from 2017]. Available from: https://apps.who.int/iris/bitstream/handle/10665/254610/WHO-MSD-MER-2017.2-eng.pdf
- Milanovic SM, Erjavec K, Poljicanin T, Vrabec B and Brecic P. Prevalence of depression symptoms and associated socio-demographic factors in primary health care patients. Pyschiatr Danub. 2015; 27(1):31-37.
- Inaba A, Thoits P, Ueno K, Gove W,Evenson R, Sloan M. Depression in the United States and Japan: Gender, marital status, and SES patterns. Soc Sci Med. 2005;61 (11):2289-2299
- Soong-Nang Jang, Kawachi I, Chang J, Boo K, Shin H, Lee H et al. Marital status, gender, and depression: Analysis of the baseline survey of the Korean Longitudinal Study of Ageing (KLoSA). So Sci Med.2009; 69(11)1608–1615.
- Mental health of older adults [Internet]. WHO.2017 [updated 2017 Dec 17] Available from: https://www.who.int/news-room/fact-sheets/detail/mental-health-of-older-adults
- Josje Ten Kate, de Koster Williem and van der Waal Jeroen. Why are depressive symptoms more prevalent among the less educated? The relevance of Low Cultural Capital and Cultural Entitlement. Mid-South Sociological Association 2017;37:63-76
- Hamilton M. Development of a rating scale; for primary depressive illness. Br J Soc Clin Psychol. 1967 Dec;6(4):278-96.
- Hubbard G, den Daas C, Johnston M & Dixon D. Sociodemographic and Psychological Risk Factors for Anxiety and Depression: Findings from the Covid-19 Health and Adherence Research in Scotland on Mental Health (CHARIS-MH) Cross-sectional Survey. International Journal of Behavioral Medicine 2021; 28(6): 788-800.
- Gerogianni G, Lianos E, Kouzoupis A, Polikandrioti M & Grapsa E. The role of socio-demographic factors in depression and anxiety of patients on hemodialysis: an observational cross-sectional study. International Urology and Nephrology. 2017;50(1): 143-154.Soares Claudio N., Zitek B: Reproductive hormone sensitivity and risk for depression across the female life cycle: A
- continuum of vulnerability? J Psychiatry Neurosci.2008; 33(4): 331-343.
- Prince MJ, Harwood RH, Thomas A & Mann AH: A prospective population-based cohort study of the effects of disablement and social milieu on the onset and maintenance of late-life depression. The Gospel Oak Project VII. Psychol Med 1998;28:337-50.
- Simon R.W: The Relationship between Marriage and Mental Health. Psychiatry Weekly 2012;7.
- Scarinci IC, Beech BM, Naumann W, Kovach KW, Pugh L & Fapohunda B: Depression, socioeconomic status, age and marital status in black women: a national study. EthnDis 2002;12:421-8.
- Obeid S, Abi Elias Hallit C, Haddad C, Hany Z & Hallit S: Vallidation of the Hamilton Depression Scale (HDRS) and sociodemographic factors associated with Lebanese depressed patients. L’Encéphale.2018; 44(5): 397-402.