Characterizing multidimensional poverty in Migori County, Kenya and its association with depression
Autor: | Ryan Moore, Joseph R. Starnes, Chiara Di Gravio, Vincent Okoth, Daniele J. Ressler, Ash Rogers, Rebecca Irlmeier, Troy D. Moon |
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Rok vydání: | 2021 |
Předmět: |
Male
Sanitation Psychological intervention Social Sciences Surveys Pediatrics Geographical Locations Multidimensional Poverty Index Sociology Natural Resources Medicine and Health Sciences Prevalence Public and Occupational Health media_common Schools Multidisciplinary Depression Child Health Socioeconomic Aspects of Health Geography Research Design Water Resources Medicine Female Environmental Health Research Article Adult Science media_common.quotation_subject Research and Analysis Methods Education Depression (economics) Environmental health Mental Health and Psychiatry Humans Association (psychology) Poverty Survey Research Mood Disorders Ecology and Environmental Sciences Kenya Health Care Patient Health Questionnaire Cross-Sectional Studies People and Places Africa Diversity (politics) |
Zdroj: | PLoS ONE PLoS ONE, Vol 16, Iss 11, p e0259848 (2021) PLoS ONE, Vol 16, Iss 11 (2021) |
ISSN: | 1932-6203 |
Popis: | Introduction Narrow, unidimensional measures of poverty often fail to measure true poverty and inadequately capture its drivers. Multidimensional indices of poverty more accurately capture the diversity of poverty. There is little research regarding the association between multidimensional poverty and depression. Methods A cross-sectional survey was administered in five sub-locations in Migori County, Kenya. A total of 4,765 heads of household were surveyed. Multidimensional poverty indices were used to determine the association of poverty with depression using the Patient Health Questionnaire (PHQ-8) depression screening tool. Results Across the geographic areas surveyed, the overall prevalence of household poverty (deprivation headcount) was 19.4%, ranging from a low of 13.6% in Central Kamagambo to a high of 24.6% in North Kamagambo. Overall multidimensional poverty index varied from 0.053 in Central Kamagambo to 0.098 in North Kamagambo. Of the 3,939 participants with depression data available, 481 (12.2%) met the criteria for depression based on a PHQ-8 depression score ≥10. Poverty showed a dose-response association with depression. Conclusions Multidimensional poverty indices can be used to accurately capture poverty in rural Kenya and to characterize differences in poverty across areas. There is a clear association between multidimensional poverty and depressive symptoms, including a dose effect with increasing poverty intensity. This supports the importance of multifaceted poverty policies and interventions to improve wellbeing and reduce depression. |
Databáze: | OpenAIRE |
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