Effects of family income and conditional cash transfers on household food insecurity: evidence from a longitudinal study in Northeast Brazil
Food insecurity (FI) is a challenge to policy makers worldwide, who need to understand which polices and programmes are effective at overcoming FI. The present study aimed to examine the impact of family income and conditional cash transfers on changes in household FI status in a highly vulnerable m...
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| Veröffentlicht in: | Public health nutrition 2020-03, Vol.23 (4), p.756-767 |
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| creator | Palmeira, Poliana A Salles-Costa, Rosana Pérez-Escamilla, Rafael |
| description | Food insecurity (FI) is a challenge to policy makers worldwide, who need to understand which polices and programmes are effective at overcoming FI. The present study aimed to examine the impact of family income and conditional cash transfers on changes in household FI status in a highly vulnerable municipality in Northeast Brazil.
A population-based longitudinal cohort study among families in a municipality in the semi-arid area in Northeast Brazil (2011 and 2014). FI was estimated with the Brazilian Household Food Insecurity Measurement Scale (EBIA). The effects of family income and cash transfer on changes in FI were estimated using logistic regression models and the population-attributable risk fraction.
Households in Cuité, Paraíba, Brazil.
Household respondents interviewed in 2011 (n 358) and 2014 (n 326).
There was a reduction in FI prevalence of 17·5 % across time; 24·5 % of families who were food insecure in 2011 became food secure in 2014. After adjustment, families that did not experience an increase in their total household income or a reduction in the cash transfer amount were at increased risk of persistent FI across time. If the cash transfer programme had not been in place, about 10 % of the families that switched from food insecure to food secure across time would have remained in FI instead.
The decrease of FI occurred in an area of extreme climatic and social vulnerability. These changes were more related to the cash transfer than the increase in family income over time. |
| doi_str_mv | 10.1017/S1368980019003136 |
| format | Article |
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A population-based longitudinal cohort study among families in a municipality in the semi-arid area in Northeast Brazil (2011 and 2014). FI was estimated with the Brazilian Household Food Insecurity Measurement Scale (EBIA). The effects of family income and cash transfer on changes in FI were estimated using logistic regression models and the population-attributable risk fraction.
Households in Cuité, Paraíba, Brazil.
Household respondents interviewed in 2011 (n 358) and 2014 (n 326).
There was a reduction in FI prevalence of 17·5 % across time; 24·5 % of families who were food insecure in 2011 became food secure in 2014. After adjustment, families that did not experience an increase in their total household income or a reduction in the cash transfer amount were at increased risk of persistent FI across time. If the cash transfer programme had not been in place, about 10 % of the families that switched from food insecure to food secure across time would have remained in FI instead.
The decrease of FI occurred in an area of extreme climatic and social vulnerability. These changes were more related to the cash transfer than the increase in family income over time.</description><identifier>ISSN: 1368-9800</identifier><identifier>EISSN: 1475-2727</identifier><identifier>DOI: 10.1017/S1368980019003136</identifier><identifier>PMID: 31685079</identifier><language>eng</language><publisher>England: Cambridge University Press</publisher><subject><![CDATA[American dollar ; Arid regions ; Beneficiaries ; Brazil ; Cities - statistics & numerical data ; Climate ; College students ; Correlation analysis ; Cross-Sectional Studies ; Family Characteristics ; Family income ; Food ; Food Assistance - statistics & numerical data ; Food Insecurity - economics ; Food security ; Households ; Humans ; Income ; Income - statistics & numerical data ; Logistic Models ; Longitudinal Studies ; Minimum wage ; Per capita ; Population studies ; Poverty ; Public Policies ; Reduction ; Regression analysis ; Regression models ; Research Paper ; Rural areas ; Rural Population - statistics & numerical data ; Sample size ; Semi arid areas ; Studies ; Teenagers ; Urban Population - statistics & numerical data ; Vulnerable Populations - statistics & numerical data]]></subject><ispartof>Public health nutrition, 2020-03, Vol.23 (4), p.756-767</ispartof><rights>Copyright Cambridge University Press Mar 2020</rights><rights>The Authors 2019 2019 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c428t-30fa6f2212eab75d0078b547c6b1df860deec32f2cbf12e17aeb8fcef837b7b83</citedby><cites>FETCH-LOGICAL-c428t-30fa6f2212eab75d0078b547c6b1df860deec32f2cbf12e17aeb8fcef837b7b83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200439/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200439/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31685079$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Palmeira, Poliana A</creatorcontrib><creatorcontrib>Salles-Costa, Rosana</creatorcontrib><creatorcontrib>Pérez-Escamilla, Rafael</creatorcontrib><title>Effects of family income and conditional cash transfers on household food insecurity: evidence from a longitudinal study in Northeast Brazil</title><title>Public health nutrition</title><addtitle>Public Health Nutr</addtitle><description>Food insecurity (FI) is a challenge to policy makers worldwide, who need to understand which polices and programmes are effective at overcoming FI. The present study aimed to examine the impact of family income and conditional cash transfers on changes in household FI status in a highly vulnerable municipality in Northeast Brazil.
A population-based longitudinal cohort study among families in a municipality in the semi-arid area in Northeast Brazil (2011 and 2014). FI was estimated with the Brazilian Household Food Insecurity Measurement Scale (EBIA). The effects of family income and cash transfer on changes in FI were estimated using logistic regression models and the population-attributable risk fraction.
Households in Cuité, Paraíba, Brazil.
Household respondents interviewed in 2011 (n 358) and 2014 (n 326).
There was a reduction in FI prevalence of 17·5 % across time; 24·5 % of families who were food insecure in 2011 became food secure in 2014. After adjustment, families that did not experience an increase in their total household income or a reduction in the cash transfer amount were at increased risk of persistent FI across time. If the cash transfer programme had not been in place, about 10 % of the families that switched from food insecure to food secure across time would have remained in FI instead.
The decrease of FI occurred in an area of extreme climatic and social vulnerability. These changes were more related to the cash transfer than the increase in family income over time.</description><subject>American dollar</subject><subject>Arid regions</subject><subject>Beneficiaries</subject><subject>Brazil</subject><subject>Cities - statistics & numerical data</subject><subject>Climate</subject><subject>College students</subject><subject>Correlation analysis</subject><subject>Cross-Sectional Studies</subject><subject>Family Characteristics</subject><subject>Family income</subject><subject>Food</subject><subject>Food Assistance - statistics & numerical data</subject><subject>Food Insecurity - economics</subject><subject>Food security</subject><subject>Households</subject><subject>Humans</subject><subject>Income</subject><subject>Income - statistics & numerical data</subject><subject>Logistic Models</subject><subject>Longitudinal Studies</subject><subject>Minimum wage</subject><subject>Per capita</subject><subject>Population studies</subject><subject>Poverty</subject><subject>Public Policies</subject><subject>Reduction</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Research Paper</subject><subject>Rural areas</subject><subject>Rural Population - statistics & numerical data</subject><subject>Sample size</subject><subject>Semi arid areas</subject><subject>Studies</subject><subject>Teenagers</subject><subject>Urban Population - statistics & numerical data</subject><subject>Vulnerable Populations - statistics & numerical data</subject><issn>1368-9800</issn><issn>1475-2727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNplkc1uFiEUhonR2B-9ADeGxI2bUX6-GfjcmNpUbdLUhbomDBw6NAxUYJp8XoMXXSatjbUrDnmf88I5L0KvKHlHCRXvv1M-yK0khG4J4e3yBO3Tjeg7Jph42uomd6u-hw5KuSSE9EKI52iP00H2RGz30Z8T58DUgpPDTs8-7LCPJs2AdbTYpGh99SnqgI0uE65Zx-IgNz7iKS0FphQsdinZ1lfALNnX3QcM195CNIBdTjPWOKR44eti_epUWrE-g89TrhPoUvGnrH_78AI9czoUeHl3HqKfn09-HH_tzr59OT0-OuvMhsnaceL04BijDPQoekuIkGO_EWYYqXVyIBbAcOaYGV1jqNAwSmfASS5GMUp-iD7e-l4t4wzWQGxzBXWV_azzTiXt1UMl-kldpGtFCSNkw7fN4e2dQ06_FihVzb4YCEFHaFtRjFPGJBND39A3_6GXacltDyslKGvZDUOj6C1lciolg7v_DSVqDVs9Crv1vP53jPuOv-nyG10YqLM</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Palmeira, Poliana A</creator><creator>Salles-Costa, Rosana</creator><creator>Pérez-Escamilla, Rafael</creator><general>Cambridge University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QP</scope><scope>7RQ</scope><scope>7RV</scope><scope>7T2</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20200301</creationdate><title>Effects of family income and conditional cash transfers on household food insecurity: evidence from a longitudinal study in Northeast Brazil</title><author>Palmeira, Poliana A ; Salles-Costa, Rosana ; Pérez-Escamilla, Rafael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c428t-30fa6f2212eab75d0078b547c6b1df860deec32f2cbf12e17aeb8fcef837b7b83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>American dollar</topic><topic>Arid regions</topic><topic>Beneficiaries</topic><topic>Brazil</topic><topic>Cities - statistics & numerical data</topic><topic>Climate</topic><topic>College students</topic><topic>Correlation analysis</topic><topic>Cross-Sectional Studies</topic><topic>Family Characteristics</topic><topic>Family income</topic><topic>Food</topic><topic>Food Assistance - statistics & numerical data</topic><topic>Food Insecurity - economics</topic><topic>Food security</topic><topic>Households</topic><topic>Humans</topic><topic>Income</topic><topic>Income - statistics & numerical data</topic><topic>Logistic Models</topic><topic>Longitudinal Studies</topic><topic>Minimum wage</topic><topic>Per capita</topic><topic>Population studies</topic><topic>Poverty</topic><topic>Public Policies</topic><topic>Reduction</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Research Paper</topic><topic>Rural areas</topic><topic>Rural Population - statistics & numerical data</topic><topic>Sample size</topic><topic>Semi arid areas</topic><topic>Studies</topic><topic>Teenagers</topic><topic>Urban Population - statistics & numerical data</topic><topic>Vulnerable Populations - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Palmeira, Poliana A</creatorcontrib><creatorcontrib>Salles-Costa, Rosana</creatorcontrib><creatorcontrib>Pérez-Escamilla, Rafael</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Career & Technical Education Database</collection><collection>Nursing & Allied Health Database</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Public health nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Palmeira, Poliana A</au><au>Salles-Costa, Rosana</au><au>Pérez-Escamilla, Rafael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of family income and conditional cash transfers on household food insecurity: evidence from a longitudinal study in Northeast Brazil</atitle><jtitle>Public health nutrition</jtitle><addtitle>Public Health Nutr</addtitle><date>2020-03-01</date><risdate>2020</risdate><volume>23</volume><issue>4</issue><spage>756</spage><epage>767</epage><pages>756-767</pages><issn>1368-9800</issn><eissn>1475-2727</eissn><abstract>Food insecurity (FI) is a challenge to policy makers worldwide, who need to understand which polices and programmes are effective at overcoming FI. The present study aimed to examine the impact of family income and conditional cash transfers on changes in household FI status in a highly vulnerable municipality in Northeast Brazil.
A population-based longitudinal cohort study among families in a municipality in the semi-arid area in Northeast Brazil (2011 and 2014). FI was estimated with the Brazilian Household Food Insecurity Measurement Scale (EBIA). The effects of family income and cash transfer on changes in FI were estimated using logistic regression models and the population-attributable risk fraction.
Households in Cuité, Paraíba, Brazil.
Household respondents interviewed in 2011 (n 358) and 2014 (n 326).
There was a reduction in FI prevalence of 17·5 % across time; 24·5 % of families who were food insecure in 2011 became food secure in 2014. After adjustment, families that did not experience an increase in their total household income or a reduction in the cash transfer amount were at increased risk of persistent FI across time. If the cash transfer programme had not been in place, about 10 % of the families that switched from food insecure to food secure across time would have remained in FI instead.
The decrease of FI occurred in an area of extreme climatic and social vulnerability. These changes were more related to the cash transfer than the increase in family income over time.</abstract><cop>England</cop><pub>Cambridge University Press</pub><pmid>31685079</pmid><doi>10.1017/S1368980019003136</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Public health nutrition, 2020-03, Vol.23 (4), p.756-767 |
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| source | MEDLINE; EZB-FREE-00999 freely available EZB journals; PubMed Central |
| subjects | American dollar Arid regions Beneficiaries Brazil Cities - statistics & numerical data Climate College students Correlation analysis Cross-Sectional Studies Family Characteristics Family income Food Food Assistance - statistics & numerical data Food Insecurity - economics Food security Households Humans Income Income - statistics & numerical data Logistic Models Longitudinal Studies Minimum wage Per capita Population studies Poverty Public Policies Reduction Regression analysis Regression models Research Paper Rural areas Rural Population - statistics & numerical data Sample size Semi arid areas Studies Teenagers Urban Population - statistics & numerical data Vulnerable Populations - statistics & numerical data |
| title | Effects of family income and conditional cash transfers on household food insecurity: evidence from a longitudinal study in Northeast Brazil |
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