Association between household food access insecurity and nutritional status indicators among children aged <5 years in Nepal: results from a national, cross-sectional household survey
To examine the association between household food insecurity score and Z-scores of childhood nutritional status indicators. Population-based, cross-sectional survey, Nepal Demographic and Health Survey 2011. A nationally representative sample of 11 085 households selected by a two-stage, stratified...
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description | To examine the association between household food insecurity score and Z-scores of childhood nutritional status indicators.
Population-based, cross-sectional survey, Nepal Demographic and Health Survey 2011.
A nationally representative sample of 11 085 households selected by a two-stage, stratified cluster sampling design to interview eligible men and women.
Children (n 2591) aged 0-60 months in a sub-sample of households selected for men's interview.
Prevalence of moderate and severe household food insecurity was 23·2% and 19·0%, respectively, for children aged 0-60 months. Weighted prevalence rates for stunting (height-for-age Z-score (HAZ) |
doi_str_mv | 10.1017/S1368980014002729 |
format | Article |
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Population-based, cross-sectional survey, Nepal Demographic and Health Survey 2011.
A nationally representative sample of 11 085 households selected by a two-stage, stratified cluster sampling design to interview eligible men and women.
Children (n 2591) aged 0-60 months in a sub-sample of households selected for men's interview.
Prevalence of moderate and severe household food insecurity was 23·2% and 19·0%, respectively, for children aged 0-60 months. Weighted prevalence rates for stunting (height-for-age Z-score (HAZ) <-2), wasting (weight-for-height Z-score (WHZ) <-2) and underweight (weight-for-age Z-score (WAZ) <-2) were 41·6% (95% CI 38·9, 44·3%), 11·5% (95% CI 9·8, 13·2%) and 30·1% (95% CI 27·5, 32·8%), respectively. Prevalences of stunting, severe stunting (HAZ<-3) and underweight by level of household food insecurity were statistically significant (P<0·001). By multiple linear regression analyses and after adjustment for sociodemographic, child and environmental factors, household food access insecurity score was associated with HAZ (β=-0·02, P=0·01) and WAZ (β=-0·01, P=0·01) but was not associated with WHZ and BMI-for-age Z-score. A 10-point increase in household food access insecurity score was associated with a decrease in HAZ of 0·2 (95% CI 0·05, 0·39) and decrease in WAZ of 0·1 (95% CI 0·03, 0·27).
Our results from a nationally representative sample confirm the previously reported association of household food insecurity with stunting and underweight. Community nutrition interventions may use household food insecurity scales for identifying those households where children may be at risk of growth faltering.</description><identifier>ISSN: 1368-9800</identifier><identifier>EISSN: 1475-2727</identifier><identifier>DOI: 10.1017/S1368980014002729</identifier><identifier>PMID: 25435296</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Child Nutrition Disorders - epidemiology ; Child Nutrition Disorders - etiology ; Child, Preschool ; Children & youth ; Consent ; Cross-Sectional Studies ; Developing countries ; Diet ; Environmental factors ; Family Characteristics ; Feeding Behavior ; Food ; Food security ; Food Supply - statistics & numerical data ; Growth Disorders - epidemiology ; Growth Disorders - etiology ; Health Surveys ; HOT TOPIC – Food security ; Households ; Humans ; Infant ; Infant Nutrition Disorders - epidemiology ; Infant Nutrition Disorders - etiology ; Infant, Newborn ; Interviews ; LDCs ; Nepal - epidemiology ; Nutrition Disorders - epidemiology ; Nutrition Disorders - etiology ; Nutritional Status ; Population ; Poverty ; Prevalence ; Research Papers ; Thinness - epidemiology ; Thinness - etiology ; Wasting Syndrome - epidemiology ; Wasting Syndrome - etiology ; Women</subject><ispartof>Public health nutrition, 2015-11, Vol.18 (16), p.2906-2914</ispartof><rights>Copyright © The Authors 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c482t-b292de161786783b3703eb79dea548835f56ccb097db44aab791eef3d9f6dff03</citedby><cites>FETCH-LOGICAL-c482t-b292de161786783b3703eb79dea548835f56ccb097db44aab791eef3d9f6dff03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25435296$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sreeramareddy, Chandrashekhar T</creatorcontrib><creatorcontrib>Ramakrishnareddy, N</creatorcontrib><creatorcontrib>Subramaniam, Mayoori</creatorcontrib><title>Association between household food access insecurity and nutritional status indicators among children aged <5 years in Nepal: results from a national, cross-sectional household survey</title><title>Public health nutrition</title><addtitle>Public Health Nutr</addtitle><description>To examine the association between household food insecurity score and Z-scores of childhood nutritional status indicators.
Population-based, cross-sectional survey, Nepal Demographic and Health Survey 2011.
A nationally representative sample of 11 085 households selected by a two-stage, stratified cluster sampling design to interview eligible men and women.
Children (n 2591) aged 0-60 months in a sub-sample of households selected for men's interview.
Prevalence of moderate and severe household food insecurity was 23·2% and 19·0%, respectively, for children aged 0-60 months. Weighted prevalence rates for stunting (height-for-age Z-score (HAZ) <-2), wasting (weight-for-height Z-score (WHZ) <-2) and underweight (weight-for-age Z-score (WAZ) <-2) were 41·6% (95% CI 38·9, 44·3%), 11·5% (95% CI 9·8, 13·2%) and 30·1% (95% CI 27·5, 32·8%), respectively. Prevalences of stunting, severe stunting (HAZ<-3) and underweight by level of household food insecurity were statistically significant (P<0·001). By multiple linear regression analyses and after adjustment for sociodemographic, child and environmental factors, household food access insecurity score was associated with HAZ (β=-0·02, P=0·01) and WAZ (β=-0·01, P=0·01) but was not associated with WHZ and BMI-for-age Z-score. A 10-point increase in household food access insecurity score was associated with a decrease in HAZ of 0·2 (95% CI 0·05, 0·39) and decrease in WAZ of 0·1 (95% CI 0·03, 0·27).
Our results from a nationally representative sample confirm the previously reported association of household food insecurity with stunting and underweight. Community nutrition interventions may use household food insecurity scales for identifying those households where children may be at risk of growth faltering.</description><subject>Child Nutrition Disorders - epidemiology</subject><subject>Child Nutrition Disorders - etiology</subject><subject>Child, Preschool</subject><subject>Children & youth</subject><subject>Consent</subject><subject>Cross-Sectional Studies</subject><subject>Developing countries</subject><subject>Diet</subject><subject>Environmental factors</subject><subject>Family Characteristics</subject><subject>Feeding Behavior</subject><subject>Food</subject><subject>Food security</subject><subject>Food Supply - statistics & numerical data</subject><subject>Growth Disorders - epidemiology</subject><subject>Growth Disorders - etiology</subject><subject>Health Surveys</subject><subject>HOT TOPIC – Food security</subject><subject>Households</subject><subject>Humans</subject><subject>Infant</subject><subject>Infant Nutrition Disorders - epidemiology</subject><subject>Infant Nutrition Disorders - etiology</subject><subject>Infant, Newborn</subject><subject>Interviews</subject><subject>LDCs</subject><subject>Nepal - epidemiology</subject><subject>Nutrition Disorders - epidemiology</subject><subject>Nutrition Disorders - etiology</subject><subject>Nutritional Status</subject><subject>Population</subject><subject>Poverty</subject><subject>Prevalence</subject><subject>Research Papers</subject><subject>Thinness - epidemiology</subject><subject>Thinness - etiology</subject><subject>Wasting Syndrome - epidemiology</subject><subject>Wasting Syndrome - etiology</subject><subject>Women</subject><issn>1368-9800</issn><issn>1475-2727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1Uctu1DAUjRCIlsIHsEFXYttQO47jBLGpqvKQKlgA68ixr2dSJfHga1PNl_F7OMwAlRCre6R7XtIpiuecveKMq4vPXDRt1zLGa8YqVXUPilNeK1lmrB5mnN_l-j8pnhDdMsakUupxcVLJWsiqa06LH5dE3ow6jn6BAeMd4gJbnwi3frLgvLegjUEiGBdCk8IY96AXC0uKGWeZnoCijmll2NHo6AOBnv2yAbMdJxuyo96ghTcS9qjDyoOPuNPTawhIaYoELvgZNCz6YHgOJniiMgceE_5WohS-4_5p8cjpifDZ8Z4VX99ef7l6X958evfh6vKmNHVbxXKousoib7hqG9WKQSgmcFCdRS3rthXSycaYgXXKDnWtdX5xRCds5xrrHBNnxcuD7y74bwkp9rc-hdyIeq4q1rKay5XFD6xftQO6fhfGWYd9z1m_TtX_M1XWvDg6p2FG-0fxe5tMEEdTPQ9htBu8l_1f25-8uaK0</recordid><startdate>20151101</startdate><enddate>20151101</enddate><creator>Sreeramareddy, Chandrashekhar T</creator><creator>Ramakrishnareddy, N</creator><creator>Subramaniam, Mayoori</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></search><sort><creationdate>20151101</creationdate><title>Association between household food access insecurity and nutritional status indicators among children aged <5 years in Nepal: results from a national, cross-sectional household survey</title><author>Sreeramareddy, Chandrashekhar T ; Ramakrishnareddy, N ; Subramaniam, Mayoori</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c482t-b292de161786783b3703eb79dea548835f56ccb097db44aab791eef3d9f6dff03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Child Nutrition Disorders - epidemiology</topic><topic>Child Nutrition Disorders - etiology</topic><topic>Child, Preschool</topic><topic>Children & youth</topic><topic>Consent</topic><topic>Cross-Sectional Studies</topic><topic>Developing countries</topic><topic>Diet</topic><topic>Environmental factors</topic><topic>Family Characteristics</topic><topic>Feeding Behavior</topic><topic>Food</topic><topic>Food security</topic><topic>Food Supply - statistics & numerical data</topic><topic>Growth Disorders - epidemiology</topic><topic>Growth Disorders - etiology</topic><topic>Health Surveys</topic><topic>HOT TOPIC – Food security</topic><topic>Households</topic><topic>Humans</topic><topic>Infant</topic><topic>Infant Nutrition Disorders - epidemiology</topic><topic>Infant Nutrition Disorders - etiology</topic><topic>Infant, Newborn</topic><topic>Interviews</topic><topic>LDCs</topic><topic>Nepal - epidemiology</topic><topic>Nutrition Disorders - epidemiology</topic><topic>Nutrition Disorders - etiology</topic><topic>Nutritional Status</topic><topic>Population</topic><topic>Poverty</topic><topic>Prevalence</topic><topic>Research Papers</topic><topic>Thinness - epidemiology</topic><topic>Thinness - etiology</topic><topic>Wasting Syndrome - epidemiology</topic><topic>Wasting Syndrome - etiology</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sreeramareddy, Chandrashekhar T</creatorcontrib><creatorcontrib>Ramakrishnareddy, N</creatorcontrib><creatorcontrib>Subramaniam, Mayoori</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><jtitle>Public health nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sreeramareddy, Chandrashekhar T</au><au>Ramakrishnareddy, N</au><au>Subramaniam, Mayoori</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between household food access insecurity and nutritional status indicators among children aged <5 years in Nepal: results from a national, cross-sectional household survey</atitle><jtitle>Public health nutrition</jtitle><addtitle>Public Health Nutr</addtitle><date>2015-11-01</date><risdate>2015</risdate><volume>18</volume><issue>16</issue><spage>2906</spage><epage>2914</epage><pages>2906-2914</pages><issn>1368-9800</issn><eissn>1475-2727</eissn><abstract>To examine the association between household food insecurity score and Z-scores of childhood nutritional status indicators.
Population-based, cross-sectional survey, Nepal Demographic and Health Survey 2011.
A nationally representative sample of 11 085 households selected by a two-stage, stratified cluster sampling design to interview eligible men and women.
Children (n 2591) aged 0-60 months in a sub-sample of households selected for men's interview.
Prevalence of moderate and severe household food insecurity was 23·2% and 19·0%, respectively, for children aged 0-60 months. Weighted prevalence rates for stunting (height-for-age Z-score (HAZ) <-2), wasting (weight-for-height Z-score (WHZ) <-2) and underweight (weight-for-age Z-score (WAZ) <-2) were 41·6% (95% CI 38·9, 44·3%), 11·5% (95% CI 9·8, 13·2%) and 30·1% (95% CI 27·5, 32·8%), respectively. Prevalences of stunting, severe stunting (HAZ<-3) and underweight by level of household food insecurity were statistically significant (P<0·001). By multiple linear regression analyses and after adjustment for sociodemographic, child and environmental factors, household food access insecurity score was associated with HAZ (β=-0·02, P=0·01) and WAZ (β=-0·01, P=0·01) but was not associated with WHZ and BMI-for-age Z-score. A 10-point increase in household food access insecurity score was associated with a decrease in HAZ of 0·2 (95% CI 0·05, 0·39) and decrease in WAZ of 0·1 (95% CI 0·03, 0·27).
Our results from a nationally representative sample confirm the previously reported association of household food insecurity with stunting and underweight. Community nutrition interventions may use household food insecurity scales for identifying those households where children may be at risk of growth faltering.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>25435296</pmid><doi>10.1017/S1368980014002729</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Child Nutrition Disorders - epidemiology Child Nutrition Disorders - etiology Child, Preschool Children & youth Consent Cross-Sectional Studies Developing countries Diet Environmental factors Family Characteristics Feeding Behavior Food Food security Food Supply - statistics & numerical data Growth Disorders - epidemiology Growth Disorders - etiology Health Surveys HOT TOPIC – Food security Households Humans Infant Infant Nutrition Disorders - epidemiology Infant Nutrition Disorders - etiology Infant, Newborn Interviews LDCs Nepal - epidemiology Nutrition Disorders - epidemiology Nutrition Disorders - etiology Nutritional Status Population Poverty Prevalence Research Papers Thinness - epidemiology Thinness - etiology Wasting Syndrome - epidemiology Wasting Syndrome - etiology Women |
title | Association between household food access insecurity and nutritional status indicators among children aged <5 years in Nepal: results from a national, cross-sectional household survey |
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