Differentials in the prevalence of anemia among non-pregnant, ever-married women in Bangladesh: multilevel logistic regression analysis of data from the 2011 Bangladesh Demographic and Health Survey
Anemia is one of the most common public health problems globally, and high prevalence has been reported among women of reproductive age, especially in developing countries. This study was conducted to evaluate differentials in the prevalence of anemia among non-pregnant, ever-married women of reprod...
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description | Anemia is one of the most common public health problems globally, and high prevalence has been reported among women of reproductive age, especially in developing countries. This study was conducted to evaluate differentials in the prevalence of anemia among non-pregnant, ever-married women of reproductive age in Bangladesh, and to examine associations with demographic, socioeconomic, and nutritional factors.
Data for this cross-sectional study were taken from the 2011 Bangladesh Demographic and Health Survey (BDHS). In a sub-sample of one-third of the households, all ever-married women of reproductive age (15 to 49 years) were selected for the biomarker component of the survey, including anemia. The sample size for our study was 5,293. Data were analyzed using multilevel logistic regression analysis.
The prevalence of anemia among non-pregnant, ever-married women was 41.3% (urban: 37.2% and rural: 43.5%). Among anemic women, 35.5% had mild anemia, 5.6% had moderate anemia, and 0.2% had severe anemia. Women with no education were more likely to be anemic than those with secondary education (p < 0.01) or higher education (p < 0.01). Undernourished women (BMI < 18.5) were at greater risk of anemia (p < 0.01) compared with normal women, overweight women, and obese women. Anemia was less pronounced among non-pregnant women using contraception (p < 0.05), Muslim women (p < 0.01), and women living in rich households (p < 0.01).
The prevalence of anemia among non-pregnant, ever-married women in Bangladesh is high. Illiteracy, poverty, and undernutrition are contributing factors. |
doi_str_mv | 10.1186/s12905-015-0211-4 |
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Data for this cross-sectional study were taken from the 2011 Bangladesh Demographic and Health Survey (BDHS). In a sub-sample of one-third of the households, all ever-married women of reproductive age (15 to 49 years) were selected for the biomarker component of the survey, including anemia. The sample size for our study was 5,293. Data were analyzed using multilevel logistic regression analysis.
The prevalence of anemia among non-pregnant, ever-married women was 41.3% (urban: 37.2% and rural: 43.5%). Among anemic women, 35.5% had mild anemia, 5.6% had moderate anemia, and 0.2% had severe anemia. Women with no education were more likely to be anemic than those with secondary education (p < 0.01) or higher education (p < 0.01). Undernourished women (BMI < 18.5) were at greater risk of anemia (p < 0.01) compared with normal women, overweight women, and obese women. Anemia was less pronounced among non-pregnant women using contraception (p < 0.05), Muslim women (p < 0.01), and women living in rich households (p < 0.01).
The prevalence of anemia among non-pregnant, ever-married women in Bangladesh is high. Illiteracy, poverty, and undernutrition are contributing factors.]]></description><identifier>ISSN: 1472-6874</identifier><identifier>EISSN: 1472-6874</identifier><identifier>DOI: 10.1186/s12905-015-0211-4</identifier><identifier>PMID: 26219633</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adolescent ; Adult ; Anemia - epidemiology ; Bangladesh - epidemiology ; Cross-Sectional Studies ; Developing countries ; Education ; Epidemiologic Methods ; Female ; Health aspects ; Health problems ; Households ; Humans ; LDCs ; Logistic Models ; Malnutrition ; Marriage - statistics & numerical data ; Mass Screening - statistics & numerical data ; Middle Aged ; Obesity - epidemiology ; Poverty ; Prevalence ; Public health ; Regression analysis ; Rural Population - statistics & numerical data ; Socioeconomic Factors ; Surveys ; Urban Population - statistics & numerical data ; Women's Health ; Womens health</subject><ispartof>BMC women's health, 2015-07, Vol.15 (1), p.54-54, Article 54</ispartof><rights>COPYRIGHT 2015 BioMed Central Ltd.</rights><rights>Copyright BioMed Central 2015</rights><rights>Kamruzzaman et al. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c494t-2e484daeaddf3396365bee7fcdb3aeba23a291fcea884177bbb3c6ede7d21cbf3</citedby><cites>FETCH-LOGICAL-c494t-2e484daeaddf3396365bee7fcdb3aeba23a291fcea884177bbb3c6ede7d21cbf3</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/PMC4517492/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4517492/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26219633$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kamruzzaman, Md</creatorcontrib><creatorcontrib>Rabbani, Md Golam</creatorcontrib><creatorcontrib>Saw, Aik</creatorcontrib><creatorcontrib>Sayem, Md Abu</creatorcontrib><creatorcontrib>Hossain, Md Golam</creatorcontrib><title>Differentials in the prevalence of anemia among non-pregnant, ever-married women in Bangladesh: multilevel logistic regression analysis of data from the 2011 Bangladesh Demographic and Health Survey</title><title>BMC women's health</title><addtitle>BMC Womens Health</addtitle><description><![CDATA[Anemia is one of the most common public health problems globally, and high prevalence has been reported among women of reproductive age, especially in developing countries. This study was conducted to evaluate differentials in the prevalence of anemia among non-pregnant, ever-married women of reproductive age in Bangladesh, and to examine associations with demographic, socioeconomic, and nutritional factors.
Data for this cross-sectional study were taken from the 2011 Bangladesh Demographic and Health Survey (BDHS). In a sub-sample of one-third of the households, all ever-married women of reproductive age (15 to 49 years) were selected for the biomarker component of the survey, including anemia. The sample size for our study was 5,293. Data were analyzed using multilevel logistic regression analysis.
The prevalence of anemia among non-pregnant, ever-married women was 41.3% (urban: 37.2% and rural: 43.5%). Among anemic women, 35.5% had mild anemia, 5.6% had moderate anemia, and 0.2% had severe anemia. Women with no education were more likely to be anemic than those with secondary education (p < 0.01) or higher education (p < 0.01). Undernourished women (BMI < 18.5) were at greater risk of anemia (p < 0.01) compared with normal women, overweight women, and obese women. Anemia was less pronounced among non-pregnant women using contraception (p < 0.05), Muslim women (p < 0.01), and women living in rich households (p < 0.01).
The prevalence of anemia among non-pregnant, ever-married women in Bangladesh is high. Illiteracy, poverty, and undernutrition are contributing factors.]]></description><subject>Adolescent</subject><subject>Adult</subject><subject>Anemia - epidemiology</subject><subject>Bangladesh - epidemiology</subject><subject>Cross-Sectional Studies</subject><subject>Developing countries</subject><subject>Education</subject><subject>Epidemiologic Methods</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health problems</subject><subject>Households</subject><subject>Humans</subject><subject>LDCs</subject><subject>Logistic Models</subject><subject>Malnutrition</subject><subject>Marriage - statistics & numerical data</subject><subject>Mass Screening - statistics & numerical data</subject><subject>Middle Aged</subject><subject>Obesity - epidemiology</subject><subject>Poverty</subject><subject>Prevalence</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Rural Population - statistics & numerical data</subject><subject>Socioeconomic Factors</subject><subject>Surveys</subject><subject>Urban Population - statistics & numerical data</subject><subject>Women's Health</subject><subject>Womens health</subject><issn>1472-6874</issn><issn>1472-6874</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>QXPDG</sourceid><recordid>eNptUk1v1DAUjBCIlsIP4IIsceFASvyRdZYDUmmBIlXiAJytF_s568qxFztZtH-Q34VDS7VFyLJsyTPznudNVT2nzSml3epNpmzdtHVDy2aU1uJBdUyFZPWqk-Lhwf2oepLzddNQ2bXycXXEVoyuV5wfV78unLWYMEwOfCYukGmDZJtwBx6DRhItgYCjAwJjDAMJMdTleQgQptcEd5jqEVJyaMjPOGJYJN5DGDwYzJu3ZJz95HzBeeLj4PLkNCn0hDm7GIo2-H12ealjYAJiUxz_9MAaSg-UyAWOcUiw3RQBCIZcIvhpQ77OaYf7p9UjW_rHZ7fnSfX944dv55f11ZdPn8_Prmot1mKqGYpOGEAwxnJeHFi1PaK02vQcsAfGga2p1QhdJ6iUfd9zvUKD0jCqe8tPqnc3utu5H9Ho4lsCr7bJFRP2KoJT91-C26gh7pRoqRRrVgRe3Qqk-GPGPKnRZY3eF5PjnBWVTcO56KQs0Jf_QK_jnIpfC6pbBsjEAWooA1Mu2Fjq6kVUnbWCCt4yxgvq9D-oskwZrY4BbZnRfQK9IegUc05o7_5IG7WET92ET5XwqSV8ShTOi0Nz7hh_08Z_A9R52Zc</recordid><startdate>20150729</startdate><enddate>20150729</enddate><creator>Kamruzzaman, Md</creator><creator>Rabbani, Md Golam</creator><creator>Saw, Aik</creator><creator>Sayem, Md Abu</creator><creator>Hossain, Md Golam</creator><general>BioMed Central Ltd</general><general>BioMed Central</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>7R6</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>888</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQGEN</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>QXPDG</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20150729</creationdate><title>Differentials in the prevalence of anemia among non-pregnant, ever-married women in Bangladesh: multilevel logistic regression analysis of data from the 2011 Bangladesh Demographic and Health Survey</title><author>Kamruzzaman, Md ; Rabbani, Md Golam ; Saw, Aik ; Sayem, Md Abu ; Hossain, Md Golam</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c494t-2e484daeaddf3396365bee7fcdb3aeba23a291fcea884177bbb3c6ede7d21cbf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Anemia - epidemiology</topic><topic>Bangladesh - epidemiology</topic><topic>Cross-Sectional Studies</topic><topic>Developing countries</topic><topic>Education</topic><topic>Epidemiologic Methods</topic><topic>Female</topic><topic>Health aspects</topic><topic>Health problems</topic><topic>Households</topic><topic>Humans</topic><topic>LDCs</topic><topic>Logistic Models</topic><topic>Malnutrition</topic><topic>Marriage - statistics & numerical data</topic><topic>Mass Screening - statistics & numerical data</topic><topic>Middle Aged</topic><topic>Obesity - epidemiology</topic><topic>Poverty</topic><topic>Prevalence</topic><topic>Public health</topic><topic>Regression analysis</topic><topic>Rural Population - statistics & numerical data</topic><topic>Socioeconomic Factors</topic><topic>Surveys</topic><topic>Urban Population - statistics & numerical data</topic><topic>Women's Health</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kamruzzaman, Md</creatorcontrib><creatorcontrib>Rabbani, Md Golam</creatorcontrib><creatorcontrib>Saw, Aik</creatorcontrib><creatorcontrib>Sayem, Md Abu</creatorcontrib><creatorcontrib>Hossain, Md Golam</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>GenderWatch</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>GenderWatch (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</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 One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</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>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest Women's & Gender Studies</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>Diversity Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC women's health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kamruzzaman, Md</au><au>Rabbani, Md Golam</au><au>Saw, Aik</au><au>Sayem, Md Abu</au><au>Hossain, Md Golam</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Differentials in the prevalence of anemia among non-pregnant, ever-married women in Bangladesh: multilevel logistic regression analysis of data from the 2011 Bangladesh Demographic and Health Survey</atitle><jtitle>BMC women's health</jtitle><addtitle>BMC Womens Health</addtitle><date>2015-07-29</date><risdate>2015</risdate><volume>15</volume><issue>1</issue><spage>54</spage><epage>54</epage><pages>54-54</pages><artnum>54</artnum><issn>1472-6874</issn><eissn>1472-6874</eissn><abstract><![CDATA[Anemia is one of the most common public health problems globally, and high prevalence has been reported among women of reproductive age, especially in developing countries. This study was conducted to evaluate differentials in the prevalence of anemia among non-pregnant, ever-married women of reproductive age in Bangladesh, and to examine associations with demographic, socioeconomic, and nutritional factors.
Data for this cross-sectional study were taken from the 2011 Bangladesh Demographic and Health Survey (BDHS). In a sub-sample of one-third of the households, all ever-married women of reproductive age (15 to 49 years) were selected for the biomarker component of the survey, including anemia. The sample size for our study was 5,293. Data were analyzed using multilevel logistic regression analysis.
The prevalence of anemia among non-pregnant, ever-married women was 41.3% (urban: 37.2% and rural: 43.5%). Among anemic women, 35.5% had mild anemia, 5.6% had moderate anemia, and 0.2% had severe anemia. Women with no education were more likely to be anemic than those with secondary education (p < 0.01) or higher education (p < 0.01). Undernourished women (BMI < 18.5) were at greater risk of anemia (p < 0.01) compared with normal women, overweight women, and obese women. Anemia was less pronounced among non-pregnant women using contraception (p < 0.05), Muslim women (p < 0.01), and women living in rich households (p < 0.01).
The prevalence of anemia among non-pregnant, ever-married women in Bangladesh is high. Illiteracy, poverty, and undernutrition are contributing factors.]]></abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>26219633</pmid><doi>10.1186/s12905-015-0211-4</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Anemia - epidemiology Bangladesh - epidemiology Cross-Sectional Studies Developing countries Education Epidemiologic Methods Female Health aspects Health problems Households Humans LDCs Logistic Models Malnutrition Marriage - statistics & numerical data Mass Screening - statistics & numerical data Middle Aged Obesity - epidemiology Poverty Prevalence Public health Regression analysis Rural Population - statistics & numerical data Socioeconomic Factors Surveys Urban Population - statistics & numerical data Women's Health Womens health |
title | Differentials in the prevalence of anemia among non-pregnant, ever-married women in Bangladesh: multilevel logistic regression analysis of data from the 2011 Bangladesh Demographic and Health Survey |
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