NDLI: Sociodemographic correlates of depressive symptoms: a cross-sectional analytic study among healthy urban Ghanaian women

Content Provider	Springer Nature : BioMed Central
Author	Bonful, Harriet Affran Anum, Adote
Abstract	Background Studies on healthy individuals that show minor signs of distress and depression—but that are not significant enough to be debilitating or to report to the hospital for treatment—are rare. Our primary objective was to measure the prevalence of depressive symptoms and sociodemographic correlates among healthy women 18 years and above in urban Accra, Ghana. Method We used secondary data from the Women’s Health Study of Accra, Wave 1 (WHSA-1), a large scale, analytic, cross-sectional study conducted in Accra, Ghana involving 3183 women. The presence or absence of depressive symptoms within the past 30 days was estimated from the average score on three common symptoms of depression: sleep, anxiety, and sadness. The explanatory variables were age-group, socioeconomic level, marital status, ethnicity, religion, education, employment, and parity. Frequencies and means were used to summarize categorical and continuous variables, respectively. Logistic regression analyses were employed to determine the predictors of depressive symptoms. Results The prevalence of depressive symptoms within the previous 30 days was 26.5% (95% CI: 25.0–28.1). Women 55 years and older were more likely than women between the ages of 18 and 24 to experience depressive symptoms (AOR 2.8, 95% CI: 2.0–4.0, p < 0.001), whilst women between the ages of 35 and 54 were 1.95 times more likely than women between the ages of 18 and 24 to experience depression (AOR 1.95, 95% CI: 1.40–2.70, p < 0.001). Self-employed women were less likely to report depressive symptoms compared to the unemployed (AOR 0.70, 95% CI: 0.56–0.87, p < 0.01). Akans were less likely to experience depressive symptoms compared to Ga women (AOR 0.75, 95% CI: 0.61–0.92, p < 0.01). Non-orthodox Christians were more likely to report depressive symptoms compared to Orthodox Christians (AOR 1.32, 95% CI: 1.09–1.60, p < 0.01). Conclusion The prevalence of symptoms of depression among healthy urban Ghanaian women is high. Older women, those with low education, and unemployed women appear to be at higher risk for depression and therefore should be targeted for interventions. Groups at risk for depression—especially older adults or individuals under economic strain—should be targeted for mood assessment as part of routine medical care.
Related Links	https://bmcpublichealth.biomedcentral.com/counter/pdf/10.1186/s12889-018-6322-8.pdf
Ending Page	9
Page Count	9
Starting Page	1
File Format	HTM / HTML
ISSN	14712458
DOI	10.1186/s12889-018-6322-8
Journal	BMC Public Health
Issue Number	1
Volume Number	19
Language	English
Publisher	BioMed Central
Publisher Date	2019-01-10
Access Restriction	Open
Subject Keyword	Public Health Medicine Epidemiology Biostatistics Vaccine Environmental Health Depressive symptoms Sociodemographic Ghana Accra Women Medicine/Public Health
Content Type	Text
Resource Type	Article
Subject	Public Health, Environmental and Occupational Health
Journal Impact Factor	3.5/2023
5-Year Journal Impact Factor	3.9/2023

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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