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Socio-Demographic and Coping Correlates and Predictors of Depressive Symptoms Among Low-Income and Ethnic Minority Mothers At-Risk.

Rahshida AtkinsShanda JohnsonManuel C F PontesTiffany StellmacherDaniella GadaletaHelene LewisArta QosjaDana FinkelsteinWanda Williams
Published in: Clinical nursing research (2021)
This study identified coping and sociodemographic correlates and predictors of depressive symptoms in mothers at risk for clinical depression. A descriptive, cross-sectional design was employed. A convenience sample of 88 low-income or ethnic-minority mothers aged 21 to 45 completed a depression scale, demographic data sheet, and responded to an open-ended question. Content analysis, descriptive, and inferential statistics was used for data analysis. Exactly 42.5% of mothers reported high depressive symptoms (>16). Lower income levels (r = .342, p = .01) and head-of-household status (r = .220, p = .04) were significantly associated with higher depressive symptoms. Those who used social support coping had lower depressive symptoms than those who did not (t = 2.50, p = .014). Those using emotion-focused coping only had higher depressive symptoms than those using a mix of coping strategies (t = 2.60, p = .011). Healthcare providers can employ vigilant depression screening and encourage utilization of a mix of problem and emotion-focused coping strategies to reduce depressive symptoms and prevent clinical depression.
Keyphrases
  • depressive symptoms
  • social support
  • sleep quality
  • cross sectional
  • data analysis
  • healthcare
  • physical activity
  • mental health
  • machine learning
  • electronic health record