Predictors of pregnancy and postpartum haemoglobin concentrations in low-income women
Pregnancy and postpartum iron status is of great public health importance, yet few studies have examined predictors of haemoglobin (Hb) concentration during this time. We identified predictors of Hb from 24 weeks' gestation until delivery and from 4 to 25 weeks postpartum. Blood was drawn as ma...
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| Veröffentlicht in: | Public health nutrition 2004-09, Vol.7 (6), p.701-711 |
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| creator | Bodnar, Lisa M Siega-Riz, Anna Maria Arab, Lenore Chantala, Kim McDonald, Thad |
| description | Pregnancy and postpartum iron status is of great public health importance, yet few studies have examined predictors of haemoglobin (Hb) concentration during this time. We identified predictors of Hb from 24 weeks' gestation until delivery and from 4 to 25 weeks postpartum.
Blood was drawn as many as four times during care: at the initial visit, at 24-29 weeks' gestation, at delivery and postpartum. A longitudinal, multivariable linear regression model was used to predict Hb concentration.
A public health clinic in Raleigh, North Carolina.
n=520 women who participated in the Iron Supplementation Study.
Hb concentration at the previous blood draw, short stature, non-Hispanic white ethnicity/race, >12 years of education and smoking were positive predictors of pregnancy and postpartum Hb concentrations. Iron supplement use was a positive predictor, while inadequate weight gain and severe nausea/vomiting were negative predictors of gestational Hb. A high infant birth weight and postpartum haemorrhage were negative predictors of postpartum Hb. Pre-pregnancy body mass index had a slight positive relationship with gestational Hb, but had a strong negative relationship with postpartum Hb. The longitudinal model also confirmed the typical pattern of gestational Hb concentration. As the number of weeks between the initial visit and the 24- to 29-week visit increased, Hb at 24-29 weeks' gestation decreased. As gestational age increased from 24 weeks until delivery, Hb concentration increased as well.
The predictors identified here could be used in clinical settings to target high-risk women for intervention. |
| doi_str_mv | 10.1079/PHN2004597 |
| format | Article |
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Blood was drawn as many as four times during care: at the initial visit, at 24-29 weeks' gestation, at delivery and postpartum. A longitudinal, multivariable linear regression model was used to predict Hb concentration.
A public health clinic in Raleigh, North Carolina.
n=520 women who participated in the Iron Supplementation Study.
Hb concentration at the previous blood draw, short stature, non-Hispanic white ethnicity/race, >12 years of education and smoking were positive predictors of pregnancy and postpartum Hb concentrations. Iron supplement use was a positive predictor, while inadequate weight gain and severe nausea/vomiting were negative predictors of gestational Hb. A high infant birth weight and postpartum haemorrhage were negative predictors of postpartum Hb. Pre-pregnancy body mass index had a slight positive relationship with gestational Hb, but had a strong negative relationship with postpartum Hb. The longitudinal model also confirmed the typical pattern of gestational Hb concentration. As the number of weeks between the initial visit and the 24- to 29-week visit increased, Hb at 24-29 weeks' gestation decreased. As gestational age increased from 24 weeks until delivery, Hb concentration increased as well.
The predictors identified here could be used in clinical settings to target high-risk women for intervention.</description><identifier>ISSN: 1368-9800</identifier><identifier>EISSN: 1475-2727</identifier><identifier>DOI: 10.1079/PHN2004597</identifier><identifier>PMID: 15369607</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Adult ; Anemia, Iron-Deficiency - blood ; Anemia, Iron-Deficiency - epidemiology ; Anemia, Iron-Deficiency - etiology ; Birth Intervals ; birth weight ; Blood ; dietary mineral supplements ; Ethnicity ; Female ; Gestational age ; Gynecology ; Haemoglobin ; Hemoglobin ; Hemoglobins - metabolism ; hemorrhage ; Humans ; Iron ; Iron, Dietary - administration & dosage ; linear models ; Longitudinal data ; Longitudinal Studies ; Low income groups ; Maternal & child health ; maternal nutrition ; Missing data ; nationalities and ethnic groups ; nausea ; North Carolina - epidemiology ; nutrient deficiencies ; Nutrition ; nutritional intervention ; nutritional status ; Obstetrics ; Pharmacy ; Postpartum ; Postpartum Period ; Poverty ; prediction ; Pregnancy ; Pregnancy Complications, Hematologic - blood ; Pregnancy Complications, Hematologic - epidemiology ; Pregnancy Complications, Hematologic - etiology ; Pregnancy Trimester, Third ; pregnant women ; Public health ; Puerperal Disorders - blood ; Puerperal Disorders - epidemiology ; Puerperal Disorders - etiology ; Randomized Controlled Trials as Topic ; Regression Analysis ; risk factors ; sociodemographic characteristics ; vomiting ; weight gain ; Womens health</subject><ispartof>Public health nutrition, 2004-09, Vol.7 (6), p.701-711</ispartof><rights>Copyright © CAB International 2004</rights><rights>CAB International</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c476t-81dc119c715540cf93ffce56caaff1a33de8966d1ecf04681fdf4ebce151ab133</citedby><cites>FETCH-LOGICAL-c476t-81dc119c715540cf93ffce56caaff1a33de8966d1ecf04681fdf4ebce151ab133</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/15369607$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bodnar, Lisa M</creatorcontrib><creatorcontrib>Siega-Riz, Anna Maria</creatorcontrib><creatorcontrib>Arab, Lenore</creatorcontrib><creatorcontrib>Chantala, Kim</creatorcontrib><creatorcontrib>McDonald, Thad</creatorcontrib><title>Predictors of pregnancy and postpartum haemoglobin concentrations in low-income women</title><title>Public health nutrition</title><addtitle>Public Health Nutr</addtitle><description>Pregnancy and postpartum iron status is of great public health importance, yet few studies have examined predictors of haemoglobin (Hb) concentration during this time. We identified predictors of Hb from 24 weeks' gestation until delivery and from 4 to 25 weeks postpartum.
Blood was drawn as many as four times during care: at the initial visit, at 24-29 weeks' gestation, at delivery and postpartum. A longitudinal, multivariable linear regression model was used to predict Hb concentration.
A public health clinic in Raleigh, North Carolina.
n=520 women who participated in the Iron Supplementation Study.
Hb concentration at the previous blood draw, short stature, non-Hispanic white ethnicity/race, >12 years of education and smoking were positive predictors of pregnancy and postpartum Hb concentrations. Iron supplement use was a positive predictor, while inadequate weight gain and severe nausea/vomiting were negative predictors of gestational Hb. A high infant birth weight and postpartum haemorrhage were negative predictors of postpartum Hb. Pre-pregnancy body mass index had a slight positive relationship with gestational Hb, but had a strong negative relationship with postpartum Hb. The longitudinal model also confirmed the typical pattern of gestational Hb concentration. As the number of weeks between the initial visit and the 24- to 29-week visit increased, Hb at 24-29 weeks' gestation decreased. As gestational age increased from 24 weeks until delivery, Hb concentration increased as well.
The predictors identified here could be used in clinical settings to target high-risk women for intervention.</description><subject>Adult</subject><subject>Anemia, Iron-Deficiency - blood</subject><subject>Anemia, Iron-Deficiency - epidemiology</subject><subject>Anemia, Iron-Deficiency - etiology</subject><subject>Birth Intervals</subject><subject>birth weight</subject><subject>Blood</subject><subject>dietary mineral supplements</subject><subject>Ethnicity</subject><subject>Female</subject><subject>Gestational age</subject><subject>Gynecology</subject><subject>Haemoglobin</subject><subject>Hemoglobin</subject><subject>Hemoglobins - metabolism</subject><subject>hemorrhage</subject><subject>Humans</subject><subject>Iron</subject><subject>Iron, Dietary - administration & dosage</subject><subject>linear models</subject><subject>Longitudinal data</subject><subject>Longitudinal Studies</subject><subject>Low income groups</subject><subject>Maternal & child health</subject><subject>maternal nutrition</subject><subject>Missing data</subject><subject>nationalities and ethnic groups</subject><subject>nausea</subject><subject>North Carolina - epidemiology</subject><subject>nutrient deficiencies</subject><subject>Nutrition</subject><subject>nutritional intervention</subject><subject>nutritional status</subject><subject>Obstetrics</subject><subject>Pharmacy</subject><subject>Postpartum</subject><subject>Postpartum Period</subject><subject>Poverty</subject><subject>prediction</subject><subject>Pregnancy</subject><subject>Pregnancy Complications, Hematologic - blood</subject><subject>Pregnancy Complications, Hematologic - epidemiology</subject><subject>Pregnancy Complications, Hematologic - etiology</subject><subject>Pregnancy Trimester, Third</subject><subject>pregnant women</subject><subject>Public health</subject><subject>Puerperal Disorders - blood</subject><subject>Puerperal Disorders - epidemiology</subject><subject>Puerperal Disorders - etiology</subject><subject>Randomized Controlled Trials as Topic</subject><subject>Regression Analysis</subject><subject>risk factors</subject><subject>sociodemographic characteristics</subject><subject>vomiting</subject><subject>weight gain</subject><subject>Womens health</subject><issn>1368-9800</issn><issn>1475-2727</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqF0V1rFDEUBuAgiq3VG3-ADl54IY6eTCZfl7LYD1i0onsdMplkTZ1JpskMbf-9Kbu4IIXeJOHk4XBeDkKvMXzCwOXny_NvDUBLJX-CjnHLad3whj8tb8JELQXAEXqR8xUAUM75c3SEKWGSAT9Gm8tke2_mmHIVXTUluw06mLtKh76aYp4nneZlrH5rO8btEDsfKhODsWFOevYx5KpUhnhT-2DiaKubcoSX6JnTQ7av9vcJ2px-_bU6r9ffzy5WX9a1aTmba4F7g7E0HFPagnGSOGcsZUZr57AmpLdCMtZjaxy0TGDXu9Z2xmKKdYcJOUHvd32nFK8Xm2c1-mzsMOhg45IVY0I0BOBRSEhLGLB7-O4_eBWXFEoI1ZROQjZYFPRhh0yKOSfr1JT8qNOdwqDuV6IOKyn4zb7j0o22P9D9Dgqod8Dn2d7--9fpj2KccKrY2Q9F13AqGyLUqvi3O-90VHqbfFabnw3gklNSzGRbxMf9fHrsku-39pDigQn_AtotrSw</recordid><startdate>20040901</startdate><enddate>20040901</enddate><creator>Bodnar, Lisa M</creator><creator>Siega-Riz, Anna Maria</creator><creator>Arab, Lenore</creator><creator>Chantala, Kim</creator><creator>McDonald, Thad</creator><general>Cambridge University Press</general><scope>FBQ</scope><scope>BSCLL</scope><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>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>7X8</scope></search><sort><creationdate>20040901</creationdate><title>Predictors of pregnancy and postpartum haemoglobin concentrations in low-income women</title><author>Bodnar, Lisa M ; Siega-Riz, Anna Maria ; Arab, Lenore ; Chantala, Kim ; McDonald, Thad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c476t-81dc119c715540cf93ffce56caaff1a33de8966d1ecf04681fdf4ebce151ab133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Adult</topic><topic>Anemia, Iron-Deficiency - blood</topic><topic>Anemia, Iron-Deficiency - epidemiology</topic><topic>Anemia, Iron-Deficiency - etiology</topic><topic>Birth Intervals</topic><topic>birth weight</topic><topic>Blood</topic><topic>dietary mineral supplements</topic><topic>Ethnicity</topic><topic>Female</topic><topic>Gestational age</topic><topic>Gynecology</topic><topic>Haemoglobin</topic><topic>Hemoglobin</topic><topic>Hemoglobins - metabolism</topic><topic>hemorrhage</topic><topic>Humans</topic><topic>Iron</topic><topic>Iron, Dietary - administration & dosage</topic><topic>linear models</topic><topic>Longitudinal data</topic><topic>Longitudinal Studies</topic><topic>Low income groups</topic><topic>Maternal & child health</topic><topic>maternal nutrition</topic><topic>Missing data</topic><topic>nationalities and ethnic groups</topic><topic>nausea</topic><topic>North Carolina - epidemiology</topic><topic>nutrient deficiencies</topic><topic>Nutrition</topic><topic>nutritional intervention</topic><topic>nutritional status</topic><topic>Obstetrics</topic><topic>Pharmacy</topic><topic>Postpartum</topic><topic>Postpartum Period</topic><topic>Poverty</topic><topic>prediction</topic><topic>Pregnancy</topic><topic>Pregnancy Complications, Hematologic - blood</topic><topic>Pregnancy Complications, Hematologic - epidemiology</topic><topic>Pregnancy Complications, Hematologic - etiology</topic><topic>Pregnancy Trimester, Third</topic><topic>pregnant women</topic><topic>Public health</topic><topic>Puerperal Disorders - blood</topic><topic>Puerperal Disorders - epidemiology</topic><topic>Puerperal Disorders - etiology</topic><topic>Randomized Controlled Trials as Topic</topic><topic>Regression Analysis</topic><topic>risk factors</topic><topic>sociodemographic characteristics</topic><topic>vomiting</topic><topic>weight gain</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bodnar, Lisa M</creatorcontrib><creatorcontrib>Siega-Riz, Anna Maria</creatorcontrib><creatorcontrib>Arab, Lenore</creatorcontrib><creatorcontrib>Chantala, Kim</creatorcontrib><creatorcontrib>McDonald, Thad</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><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>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Public health nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bodnar, Lisa M</au><au>Siega-Riz, Anna Maria</au><au>Arab, Lenore</au><au>Chantala, Kim</au><au>McDonald, Thad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predictors of pregnancy and postpartum haemoglobin concentrations in low-income women</atitle><jtitle>Public health nutrition</jtitle><addtitle>Public Health Nutr</addtitle><date>2004-09-01</date><risdate>2004</risdate><volume>7</volume><issue>6</issue><spage>701</spage><epage>711</epage><pages>701-711</pages><issn>1368-9800</issn><eissn>1475-2727</eissn><abstract>Pregnancy and postpartum iron status is of great public health importance, yet few studies have examined predictors of haemoglobin (Hb) concentration during this time. We identified predictors of Hb from 24 weeks' gestation until delivery and from 4 to 25 weeks postpartum.
Blood was drawn as many as four times during care: at the initial visit, at 24-29 weeks' gestation, at delivery and postpartum. A longitudinal, multivariable linear regression model was used to predict Hb concentration.
A public health clinic in Raleigh, North Carolina.
n=520 women who participated in the Iron Supplementation Study.
Hb concentration at the previous blood draw, short stature, non-Hispanic white ethnicity/race, >12 years of education and smoking were positive predictors of pregnancy and postpartum Hb concentrations. Iron supplement use was a positive predictor, while inadequate weight gain and severe nausea/vomiting were negative predictors of gestational Hb. A high infant birth weight and postpartum haemorrhage were negative predictors of postpartum Hb. Pre-pregnancy body mass index had a slight positive relationship with gestational Hb, but had a strong negative relationship with postpartum Hb. The longitudinal model also confirmed the typical pattern of gestational Hb concentration. As the number of weeks between the initial visit and the 24- to 29-week visit increased, Hb at 24-29 weeks' gestation decreased. As gestational age increased from 24 weeks until delivery, Hb concentration increased as well.
The predictors identified here could be used in clinical settings to target high-risk women for intervention.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>15369607</pmid><doi>10.1079/PHN2004597</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Public health nutrition, 2004-09, Vol.7 (6), p.701-711 |
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| source | MEDLINE; EZB-FREE-00999 freely available EZB journals |
| subjects | Adult Anemia, Iron-Deficiency - blood Anemia, Iron-Deficiency - epidemiology Anemia, Iron-Deficiency - etiology Birth Intervals birth weight Blood dietary mineral supplements Ethnicity Female Gestational age Gynecology Haemoglobin Hemoglobin Hemoglobins - metabolism hemorrhage Humans Iron Iron, Dietary - administration & dosage linear models Longitudinal data Longitudinal Studies Low income groups Maternal & child health maternal nutrition Missing data nationalities and ethnic groups nausea North Carolina - epidemiology nutrient deficiencies Nutrition nutritional intervention nutritional status Obstetrics Pharmacy Postpartum Postpartum Period Poverty prediction Pregnancy Pregnancy Complications, Hematologic - blood Pregnancy Complications, Hematologic - epidemiology Pregnancy Complications, Hematologic - etiology Pregnancy Trimester, Third pregnant women Public health Puerperal Disorders - blood Puerperal Disorders - epidemiology Puerperal Disorders - etiology Randomized Controlled Trials as Topic Regression Analysis risk factors sociodemographic characteristics vomiting weight gain Womens health |
| title | Predictors of pregnancy and postpartum haemoglobin concentrations in low-income women |
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