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Characterizing multidimensional poverty in Migori County, Kenya and its association with depression
Joseph R Starnes1,2, Chiara Di Gravio3, Rebecca Irlmeier3
1Department of Pediatrics, Vanderbilt University Medical Center, Ashville, Tennessee, United States of America.
Plos One
|November 16, 2021
Summary
Multidimensional poverty, which captures the complexity of deprivation, is strongly linked to depression in rural Kenya. Higher poverty intensity correlates with increased depressive symptoms, highlighting the need for comprehensive interventions.
Area of Science:
- Public Health
- Global Health
- Mental Health Research
Background:
- Unidimensional poverty measures inadequately capture poverty's complexity and drivers.
- Multidimensional poverty indices offer a more comprehensive assessment of poverty.
- Limited research exists on the link between multidimensional poverty and depression.
Purpose of the Study:
- To investigate the association between multidimensional poverty and depression in rural Kenya.
- To assess the utility of multidimensional poverty indices in characterizing poverty variations.
Main Methods:
- Cross-sectional survey of 4,765 household heads in Migori County, Kenya.
- Utilized multidimensional poverty indices to measure poverty.
- Employed the Patient Health Questionnaire (PHQ-8) for depression screening.
Main Results:
- Overall household poverty prevalence was 19.4%, with significant geographic variation.
- Multidimensional poverty index scores also varied across sub-locations.
- A dose-response association was observed between poverty intensity and depressive symptoms (12.2% prevalence).
Conclusions:
- Multidimensional poverty indices effectively capture poverty and its variations in rural Kenya.
- A significant association exists between multidimensional poverty and depressive symptoms.
- Multifaceted poverty reduction policies are crucial for improving wellbeing and reducing depression.
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