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
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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