Characterizing multidimensional poverty in Migori County, Kenya and its association with depression.

<h4>Introduction</h4>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 multid...

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Autores principales:	Joseph R Starnes, Chiara Di Gravio, Rebecca Irlmeier, Ryan Moore, Vincent Okoth, Ash Rogers, Daniele J Ressler, Troy D Moon
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/80b1c740c7414bd7abfb91912aac335c
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spelling	oai:doaj.org-article:80b1c740c7414bd7abfb91912aac335c2021-12-02T20:13:00ZCharacterizing multidimensional poverty in Migori County, Kenya and its association with depression.1932-620310.1371/journal.pone.0259848https://doaj.org/article/80b1c740c7414bd7abfb91912aac335c2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0259848https://doaj.org/toc/1932-6203<h4>Introduction</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>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.Joseph R StarnesChiara Di GravioRebecca IrlmeierRyan MooreVincent OkothAsh RogersDaniele J ResslerTroy D MoonPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11, p e0259848 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Joseph R Starnes Chiara Di Gravio Rebecca Irlmeier Ryan Moore Vincent Okoth Ash Rogers Daniele J Ressler Troy D Moon Characterizing multidimensional poverty in Migori County, Kenya and its association with depression.
description	<h4>Introduction</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>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.
format	article
author	Joseph R Starnes Chiara Di Gravio Rebecca Irlmeier Ryan Moore Vincent Okoth Ash Rogers Daniele J Ressler Troy D Moon
author_facet	Joseph R Starnes Chiara Di Gravio Rebecca Irlmeier Ryan Moore Vincent Okoth Ash Rogers Daniele J Ressler Troy D Moon
author_sort	Joseph R Starnes
title	Characterizing multidimensional poverty in Migori County, Kenya and its association with depression.
title_short	Characterizing multidimensional poverty in Migori County, Kenya and its association with depression.
title_full	Characterizing multidimensional poverty in Migori County, Kenya and its association with depression.
title_fullStr	Characterizing multidimensional poverty in Migori County, Kenya and its association with depression.
title_full_unstemmed	Characterizing multidimensional poverty in Migori County, Kenya and its association with depression.
title_sort	characterizing multidimensional poverty in migori county, kenya and its association with depression.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/80b1c740c7414bd7abfb91912aac335c
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Characterizing multidimensional poverty in Migori County, Kenya and its association with depression.

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