Anthropometric failures and its associated factors among preschool-aged children in a rural community in southwest Ethiopia
In 2019, 144 million under-five-year-old children were stunted, and 47 million were wasted globally. In Ethiopia, approximately 350,000 children are estimated to die each year. Preschool aged children need focused attention because this age group not only has special needs, but also forms the platfo...
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description | In 2019, 144 million under-five-year-old children were stunted, and 47 million were wasted globally. In Ethiopia, approximately 350,000 children are estimated to die each year. Preschool aged children need focused attention because this age group not only has special needs, but also forms the platform for growth and development of all children. Under nutrition among preschool children is the result of a complex interplay of diverse elements, such as birth weight, household access to food, availability and use of drinking water. This study aimed at determining the anthropometric failures and associated factors using composite indictors.
A community-based cross-sectional study design was used among randomly selected 588 caregivers with pre-school aged children. Under-nutrition of pre-school aged children was computed by using the composite index of anthropometric failure. A multi-stage sampling technique followed by a systematic random sampling technique was used to select study participants. Structured questionnaires were used to collect data. WHO Anthro software was used to calculate height for age, weight for age and weight for height. The overall prevalence of anthropometric failure (CIAF). Both bivariable and multivariable binary logistic regressions were used to identify factors associated with under-nutrition.
The overall prevalence of under-nutrition among pre-school children was 50.8%, which was significantly associated with being a female (AOR = 1.51, CI: 1.076, 2.12), being from a large family (AOR = 1.78, CI: 1.19, 2.663), having acute respiratory infection (AOR = 1.767, CI: 1.216, 2.566), lack of improved source of drinking water (AOR = 1.484 CI: 1.056, 2.085) and poor dietary diversity score (AOR = 1.5, CI: 1.066, 2.112).
The study area has a high prevalence of CIAF in pre-school aged children. The CIAF was found to be significantly associated with the sex of the child, family size, ARI within the last two weeks, and dietary diversity score. To promote the use of family planning and the prevention of infectious diseases, health education is required. The government should adapt CIAF as a metric for assessing children's nutritional status. |
doi_str_mv | 10.1371/journal.pone.0260368 |
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A community-based cross-sectional study design was used among randomly selected 588 caregivers with pre-school aged children. Under-nutrition of pre-school aged children was computed by using the composite index of anthropometric failure. A multi-stage sampling technique followed by a systematic random sampling technique was used to select study participants. Structured questionnaires were used to collect data. WHO Anthro software was used to calculate height for age, weight for age and weight for height. The overall prevalence of anthropometric failure (CIAF). Both bivariable and multivariable binary logistic regressions were used to identify factors associated with under-nutrition.
The overall prevalence of under-nutrition among pre-school children was 50.8%, which was significantly associated with being a female (AOR = 1.51, CI: 1.076, 2.12), being from a large family (AOR = 1.78, CI: 1.19, 2.663), having acute respiratory infection (AOR = 1.767, CI: 1.216, 2.566), lack of improved source of drinking water (AOR = 1.484 CI: 1.056, 2.085) and poor dietary diversity score (AOR = 1.5, CI: 1.066, 2.112).
The study area has a high prevalence of CIAF in pre-school aged children. The CIAF was found to be significantly associated with the sex of the child, family size, ARI within the last two weeks, and dietary diversity score. To promote the use of family planning and the prevention of infectious diseases, health education is required. The government should adapt CIAF as a metric for assessing children's nutritional status.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0260368</identifier><identifier>PMID: 34843555</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Age ; Anthropometry ; Biology and Life Sciences ; Birth weight ; Body measurements ; Caregivers ; Child, Preschool ; Children ; Children & youth ; Complications and side effects ; Cross-Sectional Studies ; Data collection ; Diet ; Drinking water ; Ethiopia - epidemiology ; Family planning ; Family size ; Female ; Food ; Food availability ; Growth disorders ; Growth Disorders - epidemiology ; Health aspects ; Households ; Humans ; Infectious diseases ; Low income groups ; Male ; Malnutrition ; Malnutrition in children ; Maternal & child health ; Medicine and Health Sciences ; Nutrition ; Nutrition Assessment ; Nutritional Status ; Pediatric research ; People and Places ; Physiological aspects ; Preschool children ; Prevalence ; Public health ; Questionnaires ; Random sampling ; Respiratory Tract Infections - epidemiology ; Risk factors ; Rural areas ; Rural children ; Rural communities ; Rural Population ; Sample size ; Sampling ; Sampling methods ; Sampling techniques ; Statistical sampling ; Supervisors ; Thinness - epidemiology ; Wasting Syndrome - epidemiology</subject><ispartof>PloS one, 2021-11, Vol.16 (11), p.e0260368-e0260368</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Bidira et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Bidira et al 2021 Bidira et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-89d0c143db34c3749999205394fa425f4d310fd0371827c7c786c8841bbfa8b03</citedby><cites>FETCH-LOGICAL-c692t-89d0c143db34c3749999205394fa425f4d310fd0371827c7c786c8841bbfa8b03</cites><orcidid>0000-0001-9017-0027</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629177/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629177/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2100,2926,23864,27922,27923,53789,53791,79370,79371</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34843555$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Bhargava, Madhavi</contributor><creatorcontrib>Bidira, Kebebe</creatorcontrib><creatorcontrib>Tamiru, Dessalegn</creatorcontrib><creatorcontrib>Belachew, Tefera</creatorcontrib><title>Anthropometric failures and its associated factors among preschool-aged children in a rural community in southwest Ethiopia</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>In 2019, 144 million under-five-year-old children were stunted, and 47 million were wasted globally. In Ethiopia, approximately 350,000 children are estimated to die each year. Preschool aged children need focused attention because this age group not only has special needs, but also forms the platform for growth and development of all children. Under nutrition among preschool children is the result of a complex interplay of diverse elements, such as birth weight, household access to food, availability and use of drinking water. This study aimed at determining the anthropometric failures and associated factors using composite indictors.
A community-based cross-sectional study design was used among randomly selected 588 caregivers with pre-school aged children. Under-nutrition of pre-school aged children was computed by using the composite index of anthropometric failure. A multi-stage sampling technique followed by a systematic random sampling technique was used to select study participants. Structured questionnaires were used to collect data. WHO Anthro software was used to calculate height for age, weight for age and weight for height. The overall prevalence of anthropometric failure (CIAF). Both bivariable and multivariable binary logistic regressions were used to identify factors associated with under-nutrition.
The overall prevalence of under-nutrition among pre-school children was 50.8%, which was significantly associated with being a female (AOR = 1.51, CI: 1.076, 2.12), being from a large family (AOR = 1.78, CI: 1.19, 2.663), having acute respiratory infection (AOR = 1.767, CI: 1.216, 2.566), lack of improved source of drinking water (AOR = 1.484 CI: 1.056, 2.085) and poor dietary diversity score (AOR = 1.5, CI: 1.066, 2.112).
The study area has a high prevalence of CIAF in pre-school aged children. The CIAF was found to be significantly associated with the sex of the child, family size, ARI within the last two weeks, and dietary diversity score. To promote the use of family planning and the prevention of infectious diseases, health education is required. The government should adapt CIAF as a metric for assessing children's nutritional status.</description><subject>Age</subject><subject>Anthropometry</subject><subject>Biology and Life Sciences</subject><subject>Birth weight</subject><subject>Body measurements</subject><subject>Caregivers</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Children & youth</subject><subject>Complications and side effects</subject><subject>Cross-Sectional Studies</subject><subject>Data collection</subject><subject>Diet</subject><subject>Drinking water</subject><subject>Ethiopia - epidemiology</subject><subject>Family planning</subject><subject>Family size</subject><subject>Female</subject><subject>Food</subject><subject>Food availability</subject><subject>Growth disorders</subject><subject>Growth Disorders - epidemiology</subject><subject>Health aspects</subject><subject>Households</subject><subject>Humans</subject><subject>Infectious diseases</subject><subject>Low income groups</subject><subject>Male</subject><subject>Malnutrition</subject><subject>Malnutrition in children</subject><subject>Maternal & child health</subject><subject>Medicine and Health Sciences</subject><subject>Nutrition</subject><subject>Nutrition Assessment</subject><subject>Nutritional Status</subject><subject>Pediatric research</subject><subject>People and Places</subject><subject>Physiological aspects</subject><subject>Preschool children</subject><subject>Prevalence</subject><subject>Public health</subject><subject>Questionnaires</subject><subject>Random sampling</subject><subject>Respiratory Tract Infections - epidemiology</subject><subject>Risk factors</subject><subject>Rural areas</subject><subject>Rural children</subject><subject>Rural communities</subject><subject>Rural Population</subject><subject>Sample size</subject><subject>Sampling</subject><subject>Sampling methods</subject><subject>Sampling techniques</subject><subject>Statistical sampling</subject><subject>Supervisors</subject><subject>Thinness - epidemiology</subject><subject>Wasting Syndrome - epidemiology</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QLgujFjEmTadMbYVhWHVhY8Os2pGnaZkiTbpKqi3_eU6e7TGUvbC4STp7zJudNT5I8x2iNSYHf7d3orTDrwVm1RlmOSM4eJKe4JNkqzxB5eLQ-SZ6EsEdoQ1ieP05OCGWUbDab0-T31sbOu8H1Knot00ZoM3oVUmHrVEeYQ3BSi6hq2JPReQj1zrbpAJTsnDMr0cKm7LSpvbKptqlI_eiFSaXr-9HqeDMFgxtj91OFmF7ETrtBi6fJo0aYoJ7N81ny7cPF1_NPq8urj7vz7eVK5mUWV6yskcSU1BWhkhS0hC-DUkraCJptGloTjJoagSksKyQMlkvGKK6qRrAKkbPk5UF3MC7w2bfAwTJKGckoBmJ3IGon9nzwuhf-hjuh-d-A8y0XPmppFBe5qFVDC5YhQWHFiiyjcB0scUErVIHW-_m0sepVLZWN4MVCdLljdcdb94OzPCtxUYDAm1nAu-sRDOO9DlIZI6xy4-HejFBUTJW9-ge9v7qZagUUoG3j4Fw5ifJtDj6xApeT1voeCkatei3hJ2s0xBcJbxcJwET1K7ZiDIHvvnz-f_bq-5J9fcR2SpjYBWfGqJ0NS5AeQOldCF41dyZjxKceuXWDTz3C5x6BtBfHD3SXdNsU5A-7oA0S</recordid><startdate>20211129</startdate><enddate>20211129</enddate><creator>Bidira, Kebebe</creator><creator>Tamiru, Dessalegn</creator><creator>Belachew, Tefera</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-9017-0027</orcidid></search><sort><creationdate>20211129</creationdate><title>Anthropometric failures and its associated factors among preschool-aged children in a rural community in southwest Ethiopia</title><author>Bidira, Kebebe ; Tamiru, Dessalegn ; Belachew, Tefera</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-89d0c143db34c3749999205394fa425f4d310fd0371827c7c786c8841bbfa8b03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Age</topic><topic>Anthropometry</topic><topic>Biology and Life Sciences</topic><topic>Birth weight</topic><topic>Body measurements</topic><topic>Caregivers</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Children & youth</topic><topic>Complications and side effects</topic><topic>Cross-Sectional Studies</topic><topic>Data collection</topic><topic>Diet</topic><topic>Drinking water</topic><topic>Ethiopia - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bidira, Kebebe</au><au>Tamiru, Dessalegn</au><au>Belachew, Tefera</au><au>Bhargava, Madhavi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Anthropometric failures and its associated factors among preschool-aged children in a rural community in southwest Ethiopia</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-11-29</date><risdate>2021</risdate><volume>16</volume><issue>11</issue><spage>e0260368</spage><epage>e0260368</epage><pages>e0260368-e0260368</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>In 2019, 144 million under-five-year-old children were stunted, and 47 million were wasted globally. In Ethiopia, approximately 350,000 children are estimated to die each year. Preschool aged children need focused attention because this age group not only has special needs, but also forms the platform for growth and development of all children. Under nutrition among preschool children is the result of a complex interplay of diverse elements, such as birth weight, household access to food, availability and use of drinking water. This study aimed at determining the anthropometric failures and associated factors using composite indictors.
A community-based cross-sectional study design was used among randomly selected 588 caregivers with pre-school aged children. Under-nutrition of pre-school aged children was computed by using the composite index of anthropometric failure. A multi-stage sampling technique followed by a systematic random sampling technique was used to select study participants. Structured questionnaires were used to collect data. WHO Anthro software was used to calculate height for age, weight for age and weight for height. The overall prevalence of anthropometric failure (CIAF). Both bivariable and multivariable binary logistic regressions were used to identify factors associated with under-nutrition.
The overall prevalence of under-nutrition among pre-school children was 50.8%, which was significantly associated with being a female (AOR = 1.51, CI: 1.076, 2.12), being from a large family (AOR = 1.78, CI: 1.19, 2.663), having acute respiratory infection (AOR = 1.767, CI: 1.216, 2.566), lack of improved source of drinking water (AOR = 1.484 CI: 1.056, 2.085) and poor dietary diversity score (AOR = 1.5, CI: 1.066, 2.112).
The study area has a high prevalence of CIAF in pre-school aged children. The CIAF was found to be significantly associated with the sex of the child, family size, ARI within the last two weeks, and dietary diversity score. To promote the use of family planning and the prevention of infectious diseases, health education is required. The government should adapt CIAF as a metric for assessing children's nutritional status.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>34843555</pmid><doi>10.1371/journal.pone.0260368</doi><tpages>e0260368</tpages><orcidid>https://orcid.org/0000-0001-9017-0027</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS); EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Age Anthropometry Biology and Life Sciences Birth weight Body measurements Caregivers Child, Preschool Children Children & youth Complications and side effects Cross-Sectional Studies Data collection Diet Drinking water Ethiopia - epidemiology Family planning Family size Female Food Food availability Growth disorders Growth Disorders - epidemiology Health aspects Households Humans Infectious diseases Low income groups Male Malnutrition Malnutrition in children Maternal & child health Medicine and Health Sciences Nutrition Nutrition Assessment Nutritional Status Pediatric research People and Places Physiological aspects Preschool children Prevalence Public health Questionnaires Random sampling Respiratory Tract Infections - epidemiology Risk factors Rural areas Rural children Rural communities Rural Population Sample size Sampling Sampling methods Sampling techniques Statistical sampling Supervisors Thinness - epidemiology Wasting Syndrome - epidemiology |
title | Anthropometric failures and its associated factors among preschool-aged children in a rural community in southwest Ethiopia |
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