LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

High-functioning depression among women in South Africa: An exploratory study

Photo from wikipedia

The study estimated the prevalence and trends of chronic depressive symptoms among women in South Africa from the National Income Dynamics Study (NIDS) data collection waves (2008, 2010, 2012, 2014/2015).… Click to show full abstract

The study estimated the prevalence and trends of chronic depressive symptoms among women in South Africa from the National Income Dynamics Study (NIDS) data collection waves (2008, 2010, 2012, 2014/2015). NIDS utilised the Center for Epidemiological Studies Depression (CES-D) scale to assess depressive symptoms among adults. From the trend analysis, we observed a decrease in self-reported significant depressive symptoms over the eight-year period in black women (2.66%), followed by mixed-race (coloured) women (1.15%). Across race, significant depressive symptoms were associated with socioeconomic status variables such as income, education, and occupational status. Within race, prevalence rates were higher among individuals with low socioeconomic status (lower income, less educated, and less skilled occupations). Black women were at a higher risk of exhibiting high-functioning depression due to their overrepresentation among low socioeconomic status individuals. Symptom prevalence may be explained largely by psychosocial stressors in patriarchal legacy communities.

Keywords: depressive symptoms; south africa; functioning depression; among women; women south; high functioning

Journal Title: Journal of Psychology in Africa
Year Published: 2018

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.