Population attributable fraction estimates for factors associated with different types of anaemia among women in Ethiopia: multilevel multinomial analysis
This study aimed to identify factors for different levels of anaemia among Ethiopian women and to estimate the population attributable fraction (PAF). This study was a detailed analysis of data of the 2016 Ethiopian Demographic and Health Survey data. Adjusted OR (AOR) with 95 % CI was computed usin...
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| Veröffentlicht in: | Public health nutrition 2021-09, Vol.24 (13), p.4166-4176 |
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| creator | Kibret, Kelemu Tilahun Chojenta, Catherine D’Arcy, Ellie Loxton, Deborah |
| description | This study aimed to identify factors for different levels of anaemia among Ethiopian women and to estimate the population attributable fraction (PAF).
This study was a detailed analysis of data of the 2016 Ethiopian Demographic and Health Survey data. Adjusted OR (AOR) with 95 % CI was computed using multilevel multinomial regression models, and the PAF were estimated using these AOR.
This study was conducted in Ethiopia.
Women of reproductive age.
The PAF showed that the proportion of mild anaemia cases attributable to having no formal education was 14·6 % (95 % CI 3·4, 24·5), high gravidity (≥4) was 11·2 % (95 % CI 1·2, 19·9) and currently breast-feeding was 5·2 % (95 % CI 0·0, 10·7). Similarly, the proportion of moderate-severe anaemia cases attributable to being in a rural residence was 38·1 % (95 % CI 15·9, 54·8); poorest wealth quantile, 12·6 % (95 % CI 2·9, 24·6); giving birth in the last 5 years, 10·5 % (95 % CI 2·9, 18·2) and unimproved latrine facilities, 17 % (95 % CI 0, 32·5).
The PAF suggest that rural residency, low education, low wealth status, high parity, pregnancy and breast-feeding contribute substantially to the occurrence of anaemia among women in Ethiopia. Mild anaemia could be reduced by setting intervention strategies targeting women with low education, multigravida women and breast-feeding women, while preventing moderate-severe anaemia may require increasing income and improving living environments through the accessibility of hygienic latrines. |
| doi_str_mv | 10.1017/S1368980020003109 |
| format | Article |
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This study was a detailed analysis of data of the 2016 Ethiopian Demographic and Health Survey data. Adjusted OR (AOR) with 95 % CI was computed using multilevel multinomial regression models, and the PAF were estimated using these AOR.
This study was conducted in Ethiopia.
Women of reproductive age.
The PAF showed that the proportion of mild anaemia cases attributable to having no formal education was 14·6 % (95 % CI 3·4, 24·5), high gravidity (≥4) was 11·2 % (95 % CI 1·2, 19·9) and currently breast-feeding was 5·2 % (95 % CI 0·0, 10·7). Similarly, the proportion of moderate-severe anaemia cases attributable to being in a rural residence was 38·1 % (95 % CI 15·9, 54·8); poorest wealth quantile, 12·6 % (95 % CI 2·9, 24·6); giving birth in the last 5 years, 10·5 % (95 % CI 2·9, 18·2) and unimproved latrine facilities, 17 % (95 % CI 0, 32·5).
The PAF suggest that rural residency, low education, low wealth status, high parity, pregnancy and breast-feeding contribute substantially to the occurrence of anaemia among women in Ethiopia. Mild anaemia could be reduced by setting intervention strategies targeting women with low education, multigravida women and breast-feeding women, while preventing moderate-severe anaemia may require increasing income and improving living environments through the accessibility of hygienic latrines.</description><identifier>ISSN: 1368-9800</identifier><identifier>EISSN: 1475-2727</identifier><identifier>DOI: 10.1017/S1368980020003109</identifier><identifier>PMID: 32907664</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Age ; Anemia ; Anemia - epidemiology ; Breast ; Cross-Sectional Studies ; Education ; Estimates ; Ethiopia - epidemiology ; Female ; Households ; Humans ; Hygiene ; Latrines ; Low income groups ; Multilevel Analysis ; Nutritional Epidemiology ; Population ; Pregnancy ; Public health ; Regression analysis ; Regression models ; Research Paper ; Rural Population ; Socioeconomics ; Womens health</subject><ispartof>Public health nutrition, 2021-09, Vol.24 (13), p.4166-4176</ispartof><rights>The Author(s), 2020. Published by Cambridge University Press on behalf of The Nutrition Society</rights><rights>The Authors 2020 2020 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c472t-a0a328ca29bb65e236b88111ef736370ccbc27bdccdab0098753fe289472a5dc3</citedby><cites>FETCH-LOGICAL-c472t-a0a328ca29bb65e236b88111ef736370ccbc27bdccdab0098753fe289472a5dc3</cites><orcidid>0000-0002-4357-4122</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/PMC10195278/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195278/$$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/32907664$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kibret, Kelemu Tilahun</creatorcontrib><creatorcontrib>Chojenta, Catherine</creatorcontrib><creatorcontrib>D’Arcy, Ellie</creatorcontrib><creatorcontrib>Loxton, Deborah</creatorcontrib><title>Population attributable fraction estimates for factors associated with different types of anaemia among women in Ethiopia: multilevel multinomial analysis</title><title>Public health nutrition</title><addtitle>Public Health Nutr</addtitle><description>This study aimed to identify factors for different levels of anaemia among Ethiopian women and to estimate the population attributable fraction (PAF).
This study was a detailed analysis of data of the 2016 Ethiopian Demographic and Health Survey data. Adjusted OR (AOR) with 95 % CI was computed using multilevel multinomial regression models, and the PAF were estimated using these AOR.
This study was conducted in Ethiopia.
Women of reproductive age.
The PAF showed that the proportion of mild anaemia cases attributable to having no formal education was 14·6 % (95 % CI 3·4, 24·5), high gravidity (≥4) was 11·2 % (95 % CI 1·2, 19·9) and currently breast-feeding was 5·2 % (95 % CI 0·0, 10·7). Similarly, the proportion of moderate-severe anaemia cases attributable to being in a rural residence was 38·1 % (95 % CI 15·9, 54·8); poorest wealth quantile, 12·6 % (95 % CI 2·9, 24·6); giving birth in the last 5 years, 10·5 % (95 % CI 2·9, 18·2) and unimproved latrine facilities, 17 % (95 % CI 0, 32·5).
The PAF suggest that rural residency, low education, low wealth status, high parity, pregnancy and breast-feeding contribute substantially to the occurrence of anaemia among women in Ethiopia. Mild anaemia could be reduced by setting intervention strategies targeting women with low education, multigravida women and breast-feeding women, while preventing moderate-severe anaemia may require increasing income and improving living environments through the accessibility of hygienic latrines.</description><subject>Age</subject><subject>Anemia</subject><subject>Anemia - epidemiology</subject><subject>Breast</subject><subject>Cross-Sectional Studies</subject><subject>Education</subject><subject>Estimates</subject><subject>Ethiopia - epidemiology</subject><subject>Female</subject><subject>Households</subject><subject>Humans</subject><subject>Hygiene</subject><subject>Latrines</subject><subject>Low income groups</subject><subject>Multilevel Analysis</subject><subject>Nutritional Epidemiology</subject><subject>Population</subject><subject>Pregnancy</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Research Paper</subject><subject>Rural Population</subject><subject>Socioeconomics</subject><subject>Womens health</subject><issn>1368-9800</issn><issn>1475-2727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1kctu1TAQhiMEoqXwAGyQJTZsAr4ktsMGoapcpEogAeto7DjnuHLiYDutzqvwtMzhHMpNrDya-eaf-T1V9ZjR54wy9eITE1J3mlJOKRWMdneqU9aotuaKq7sYY7ne10-qBzlfIdQqpe5XJ4J3VEnZnFbfPsZlDVB8nAmUkrxZC5jgyJjA_si6XPwExWUyxkRGzMaUCeQcrcf0QG582ZLBj6NLbi6k7BZk40hgBjd5IDDFeUNu4uRm4mdyUbY-Lh5ekmkNxQd37cIhnCPiYd8Xdtnnh9W9EUJ2j47vWfXlzcXn83f15Ye3789fX9a2UbzUQEFwbYF3xsjWcSGN1owxNyohhaLWGsuVGawdwFDaadWK0XHdYTe0gxVn1auD7rKayQ0WTSQI_ZLQdtr1EXz_Z2X2234Tr3u8QddypVHh2VEhxa8rflg_-WxdCDC7uOaeNw2TVGkpEX36F3oV14SOkWpxXaE72SDFDpRNMefkxtttGN2PVf0_p8eeJ7_buO34eWsExFEUJpP8sHG_Zv9f9jv4N721</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>Kibret, Kelemu Tilahun</creator><creator>Chojenta, Catherine</creator><creator>D’Arcy, Ellie</creator><creator>Loxton, Deborah</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><orcidid>https://orcid.org/0000-0002-4357-4122</orcidid></search><sort><creationdate>20210901</creationdate><title>Population attributable fraction estimates for factors associated with different types of anaemia among women in Ethiopia: multilevel multinomial analysis</title><author>Kibret, Kelemu Tilahun ; Chojenta, Catherine ; D’Arcy, Ellie ; Loxton, Deborah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c472t-a0a328ca29bb65e236b88111ef736370ccbc27bdccdab0098753fe289472a5dc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Age</topic><topic>Anemia</topic><topic>Anemia - epidemiology</topic><topic>Breast</topic><topic>Cross-Sectional Studies</topic><topic>Education</topic><topic>Estimates</topic><topic>Ethiopia - epidemiology</topic><topic>Female</topic><topic>Households</topic><topic>Humans</topic><topic>Hygiene</topic><topic>Latrines</topic><topic>Low income groups</topic><topic>Multilevel Analysis</topic><topic>Nutritional Epidemiology</topic><topic>Population</topic><topic>Pregnancy</topic><topic>Public health</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Research Paper</topic><topic>Rural Population</topic><topic>Socioeconomics</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kibret, Kelemu Tilahun</creatorcontrib><creatorcontrib>Chojenta, Catherine</creatorcontrib><creatorcontrib>D’Arcy, Ellie</creatorcontrib><creatorcontrib>Loxton, Deborah</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>Kibret, Kelemu Tilahun</au><au>Chojenta, Catherine</au><au>D’Arcy, Ellie</au><au>Loxton, Deborah</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Population attributable fraction estimates for factors associated with different types of anaemia among women in Ethiopia: multilevel multinomial analysis</atitle><jtitle>Public health nutrition</jtitle><addtitle>Public Health Nutr</addtitle><date>2021-09-01</date><risdate>2021</risdate><volume>24</volume><issue>13</issue><spage>4166</spage><epage>4176</epage><pages>4166-4176</pages><issn>1368-9800</issn><eissn>1475-2727</eissn><abstract>This study aimed to identify factors for different levels of anaemia among Ethiopian women and to estimate the population attributable fraction (PAF).
This study was a detailed analysis of data of the 2016 Ethiopian Demographic and Health Survey data. Adjusted OR (AOR) with 95 % CI was computed using multilevel multinomial regression models, and the PAF were estimated using these AOR.
This study was conducted in Ethiopia.
Women of reproductive age.
The PAF showed that the proportion of mild anaemia cases attributable to having no formal education was 14·6 % (95 % CI 3·4, 24·5), high gravidity (≥4) was 11·2 % (95 % CI 1·2, 19·9) and currently breast-feeding was 5·2 % (95 % CI 0·0, 10·7). Similarly, the proportion of moderate-severe anaemia cases attributable to being in a rural residence was 38·1 % (95 % CI 15·9, 54·8); poorest wealth quantile, 12·6 % (95 % CI 2·9, 24·6); giving birth in the last 5 years, 10·5 % (95 % CI 2·9, 18·2) and unimproved latrine facilities, 17 % (95 % CI 0, 32·5).
The PAF suggest that rural residency, low education, low wealth status, high parity, pregnancy and breast-feeding contribute substantially to the occurrence of anaemia among women in Ethiopia. Mild anaemia could be reduced by setting intervention strategies targeting women with low education, multigravida women and breast-feeding women, while preventing moderate-severe anaemia may require increasing income and improving living environments through the accessibility of hygienic latrines.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>32907664</pmid><doi>10.1017/S1368980020003109</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-4357-4122</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
| subjects | Age Anemia Anemia - epidemiology Breast Cross-Sectional Studies Education Estimates Ethiopia - epidemiology Female Households Humans Hygiene Latrines Low income groups Multilevel Analysis Nutritional Epidemiology Population Pregnancy Public health Regression analysis Regression models Research Paper Rural Population Socioeconomics Womens health |
| title | Population attributable fraction estimates for factors associated with different types of anaemia among women in Ethiopia: multilevel multinomial analysis |
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