PO-0700Prevalence And Risk Factors For Low Birth Weight In India: From A district General Hospital In Davangere, Karnataka

BackgroundPrevalence of Low birth weight (LBW) in India shows regional variations. Factors associated with LBW are multidimensional. We aim to describe the prevalence of LBW and to investigate the associated risk factors in a district hospital in a South Indian town, Davangere.MethodsData was collec...

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Veröffentlicht in:Archives of disease in childhood 2014-10, Vol.99 (Suppl 2), p.A483-A483
Hauptverfasser: Patil, R, Kulkarni, M K, Patil, V K
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Kulkarni, M K
Patil, V K
description BackgroundPrevalence of Low birth weight (LBW) in India shows regional variations. Factors associated with LBW are multidimensional. We aim to describe the prevalence of LBW and to investigate the associated risk factors in a district hospital in a South Indian town, Davangere.MethodsData was collected from births in Chigateri-district-hospital; 1000 bedded hospital with rural and urban catchment area. LBW was defined as birth weight of
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Factors associated with LBW are multidimensional. We aim to describe the prevalence of LBW and to investigate the associated risk factors in a district hospital in a South Indian town, Davangere.MethodsData was collected from births in Chigateri-district-hospital; 1000 bedded hospital with rural and urban catchment area. LBW was defined as birth weight of <2.5 kg. Maternal age (teenage; less than or equal to 19 years), haemoglobin (Hb), gravida, gestational age (preterm; <37 weeks) and sex of the child were analysed. Moderate to severe anaemia (MS-A) defined as Hb <9.9 gms/lt. Logistic regression analysis was used to explore the associations and then factors with significant association were entered into a multivariate regression.Results6539 births over 5 years were analysed. Prevalence of LBW was 27.5%. Teenage pregnancy was 11.4%, MS-A was 71.9% and preterm birth rate was 11.4%. On individual testing teenage pregnancy, MS-A, preterm birth and female sex were significantly associated with LBW. On multivariate regression only preterm birth and sex remained significant. Number of gravida was not significantly associated with LBW. Results with odds ratios are given in the table.Abstract PO-0700 Table 1 Factor LBW No LBW OR (95% CI) P value Adjusted OR (95% CI) Adjusted p value Teenage pregnancy 13.2% (229/1736)10.8% (497/4602)1.26 (1.06-1.49)0.0081.17 (0.95-1.45)0.131 Mod to severe anaemia 74.1% (1216/1640)71.1% (3131/4402)1.16 (1.02-1.32)0.0201.03 (0.89-1.20)0.671 No of gravida (>2) 98.1% (1264/1289)98.6% (3348/3397)0.74 (0.46-1.20)0.225NANA Preterm birth 33.5% (522/1559)3.3% (138/4231)14.93 (12.23-18.23)<0.00115.35 (12.4-19.0)<0.001 Female sex 53.7% (934/1740)46.2% (2091/4528)1.35 (1.21-1.51)<0.0011.39 (1.21-1.59)<0.001ConclusionLBW is still prevalent and remains a challenge for public healthcare in India. Interventions aimed at reducing teenage pregnancies and maternal anaemia will be helpful. Further research needs to focus on prevention of preterm births and to understand the biological reason for LBW associated with sex of the neonate.]]></description><identifier>ISSN: 0003-9888</identifier><identifier>DOI: 10.1136/archdischild-2014-307384.1339</identifier><language>eng</language><ispartof>Archives of disease in childhood, 2014-10, Vol.99 (Suppl 2), p.A483-A483</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></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></links><search><creatorcontrib>Patil, R</creatorcontrib><creatorcontrib>Kulkarni, M K</creatorcontrib><creatorcontrib>Patil, V K</creatorcontrib><title>PO-0700Prevalence And Risk Factors For Low Birth Weight In India: From A district General Hospital In Davangere, Karnataka</title><title>Archives of disease in childhood</title><description><![CDATA[BackgroundPrevalence of Low birth weight (LBW) in India shows regional variations. Factors associated with LBW are multidimensional. We aim to describe the prevalence of LBW and to investigate the associated risk factors in a district hospital in a South Indian town, Davangere.MethodsData was collected from births in Chigateri-district-hospital; 1000 bedded hospital with rural and urban catchment area. LBW was defined as birth weight of <2.5 kg. Maternal age (teenage; less than or equal to 19 years), haemoglobin (Hb), gravida, gestational age (preterm; <37 weeks) and sex of the child were analysed. Moderate to severe anaemia (MS-A) defined as Hb <9.9 gms/lt. Logistic regression analysis was used to explore the associations and then factors with significant association were entered into a multivariate regression.Results6539 births over 5 years were analysed. Prevalence of LBW was 27.5%. Teenage pregnancy was 11.4%, MS-A was 71.9% and preterm birth rate was 11.4%. On individual testing teenage pregnancy, MS-A, preterm birth and female sex were significantly associated with LBW. On multivariate regression only preterm birth and sex remained significant. Number of gravida was not significantly associated with LBW. Results with odds ratios are given in the table.Abstract PO-0700 Table 1 Factor LBW No LBW OR (95% CI) P value Adjusted OR (95% CI) Adjusted p value Teenage pregnancy 13.2% (229/1736)10.8% (497/4602)1.26 (1.06-1.49)0.0081.17 (0.95-1.45)0.131 Mod to severe anaemia 74.1% (1216/1640)71.1% (3131/4402)1.16 (1.02-1.32)0.0201.03 (0.89-1.20)0.671 No of gravida (>2) 98.1% (1264/1289)98.6% (3348/3397)0.74 (0.46-1.20)0.225NANA Preterm birth 33.5% (522/1559)3.3% (138/4231)14.93 (12.23-18.23)<0.00115.35 (12.4-19.0)<0.001 Female sex 53.7% (934/1740)46.2% (2091/4528)1.35 (1.21-1.51)<0.0011.39 (1.21-1.59)<0.001ConclusionLBW is still prevalent and remains a challenge for public healthcare in India. Interventions aimed at reducing teenage pregnancies and maternal anaemia will be helpful. Further research needs to focus on prevention of preterm births and to understand the biological reason for LBW associated with sex of the neonate.]]></description><issn>0003-9888</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqVj81KAzEUhbNQsP68w90ILpx609SZ1F3VjhUFiwguy2Xm2olNk3qTVvDpnYUvIBz4zuKDw1HqXONQa1NekTRd61LTOd8WI9TjwmBl7HiojZkcqAEimmJirT1Sxyl9IuqRtWagfhYvBVaIC-E9eQ4NwzS08OrSGmpqcpQEdRR4jt9w6yR38M5u1WV4DH1aRzdQS9zAFPr1LK7J8MCBhTzMY9q63Jdevac9hRULX8ITSaBMazpVhx_kE5_98URd1LO3u3mxlfi145SXm_4Qe0-B4y4ttUVbXpeVmZh_qL8mu1ja</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Patil, R</creator><creator>Kulkarni, M K</creator><creator>Patil, V K</creator><scope>7T5</scope><scope>H94</scope></search><sort><creationdate>20141001</creationdate><title>PO-0700Prevalence And Risk Factors For Low Birth Weight In India: From A district General Hospital In Davangere, Karnataka</title><author>Patil, R ; Kulkarni, M K ; Patil, V K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_miscellaneous_18086567393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Patil, R</creatorcontrib><creatorcontrib>Kulkarni, M K</creatorcontrib><creatorcontrib>Patil, V K</creatorcontrib><collection>Immunology Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><jtitle>Archives of disease in childhood</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Patil, R</au><au>Kulkarni, M K</au><au>Patil, V K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>PO-0700Prevalence And Risk Factors For Low Birth Weight In India: From A district General Hospital In Davangere, Karnataka</atitle><jtitle>Archives of disease in childhood</jtitle><date>2014-10-01</date><risdate>2014</risdate><volume>99</volume><issue>Suppl 2</issue><spage>A483</spage><epage>A483</epage><pages>A483-A483</pages><issn>0003-9888</issn><abstract><![CDATA[BackgroundPrevalence of Low birth weight (LBW) in India shows regional variations. Factors associated with LBW are multidimensional. We aim to describe the prevalence of LBW and to investigate the associated risk factors in a district hospital in a South Indian town, Davangere.MethodsData was collected from births in Chigateri-district-hospital; 1000 bedded hospital with rural and urban catchment area. LBW was defined as birth weight of <2.5 kg. Maternal age (teenage; less than or equal to 19 years), haemoglobin (Hb), gravida, gestational age (preterm; <37 weeks) and sex of the child were analysed. Moderate to severe anaemia (MS-A) defined as Hb <9.9 gms/lt. Logistic regression analysis was used to explore the associations and then factors with significant association were entered into a multivariate regression.Results6539 births over 5 years were analysed. Prevalence of LBW was 27.5%. Teenage pregnancy was 11.4%, MS-A was 71.9% and preterm birth rate was 11.4%. On individual testing teenage pregnancy, MS-A, preterm birth and female sex were significantly associated with LBW. On multivariate regression only preterm birth and sex remained significant. Number of gravida was not significantly associated with LBW. Results with odds ratios are given in the table.Abstract PO-0700 Table 1 Factor LBW No LBW OR (95% CI) P value Adjusted OR (95% CI) Adjusted p value Teenage pregnancy 13.2% (229/1736)10.8% (497/4602)1.26 (1.06-1.49)0.0081.17 (0.95-1.45)0.131 Mod to severe anaemia 74.1% (1216/1640)71.1% (3131/4402)1.16 (1.02-1.32)0.0201.03 (0.89-1.20)0.671 No of gravida (>2) 98.1% (1264/1289)98.6% (3348/3397)0.74 (0.46-1.20)0.225NANA Preterm birth 33.5% (522/1559)3.3% (138/4231)14.93 (12.23-18.23)<0.00115.35 (12.4-19.0)<0.001 Female sex 53.7% (934/1740)46.2% (2091/4528)1.35 (1.21-1.51)<0.0011.39 (1.21-1.59)<0.001ConclusionLBW is still prevalent and remains a challenge for public healthcare in India. Interventions aimed at reducing teenage pregnancies and maternal anaemia will be helpful. Further research needs to focus on prevention of preterm births and to understand the biological reason for LBW associated with sex of the neonate.]]></abstract><doi>10.1136/archdischild-2014-307384.1339</doi></addata></record>
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