Temporal trends of hemoglobin among pregnant women: The Mutaba'ah study
Low hemoglobin (Hb) level is a leading cause of many adverse pregnancy outcomes. Patterns of changes in Hb levels during pregnancy are not well understood. This study estimated Hb levels, described its changing patterns across gestational trimesters, and identified factors associated with these chan...
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creator | Abdullahi, Aminu S Suliman, Abubaker Khan, Moien Ab Khair, Howaida Ghazal-Aswad, Saad Elbarazi, Iffat Al-Maskari, Fatima Loney, Tom Al-Rifai, Rami H Ahmed, Luai A |
description | Low hemoglobin (Hb) level is a leading cause of many adverse pregnancy outcomes. Patterns of changes in Hb levels during pregnancy are not well understood.
This study estimated Hb levels, described its changing patterns across gestational trimesters, and identified factors associated with these changes among pregnant women.
Data from the ongoing maternal and child health cohort study-The Mutaba'ah Study, was used (N = 1,120). KML machine learning algorithm was applied to identify three distinct cluster trajectories of Hb levels between the first and the third trimesters. Descriptive statistics were used to profile the study participants. Multinomial multivariable logistic regression was employed to identify factors associated with change patterns in Hb levels.
The three identified clusters-A, B and C-had, respectively, median Hb levels (g/L) of 123, 118, and 104 in the first trimester and 119, 100, and 108 in the third trimester. Cluster 'A' maintained average normal Hb levels in both trimesters. Cluster 'B', on average, experienced a decrease in Hb levels below the normal range during the third trimester. Cluster 'C' showed increased Hb levels in the third trimester but remained, on average, below the normal range in both trimesters. Pregnant women with higher gravida, diabetes mellitus (type 1 or 2), nulliparity or lower level of education were more likely to be in cluster 'B' than the normal cluster 'A'. Pregnant women who reported using iron supplements before pregnancy or those with low levels of education. were more likely to be in cluster 'C' than the normal cluster 'A'.
The majority of pregnant women experienced low Hb levels during pregnancy. Changes in Hb levels during pregnancy were associated with parity, gravida, use of iron before pregnancy, and the presence of diabetes mellitus (type 1 or 2). |
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This study estimated Hb levels, described its changing patterns across gestational trimesters, and identified factors associated with these changes among pregnant women.
Data from the ongoing maternal and child health cohort study-The Mutaba'ah Study, was used (N = 1,120). KML machine learning algorithm was applied to identify three distinct cluster trajectories of Hb levels between the first and the third trimesters. Descriptive statistics were used to profile the study participants. Multinomial multivariable logistic regression was employed to identify factors associated with change patterns in Hb levels.
The three identified clusters-A, B and C-had, respectively, median Hb levels (g/L) of 123, 118, and 104 in the first trimester and 119, 100, and 108 in the third trimester. Cluster 'A' maintained average normal Hb levels in both trimesters. Cluster 'B', on average, experienced a decrease in Hb levels below the normal range during the third trimester. Cluster 'C' showed increased Hb levels in the third trimester but remained, on average, below the normal range in both trimesters. Pregnant women with higher gravida, diabetes mellitus (type 1 or 2), nulliparity or lower level of education were more likely to be in cluster 'B' than the normal cluster 'A'. Pregnant women who reported using iron supplements before pregnancy or those with low levels of education. were more likely to be in cluster 'C' than the normal cluster 'A'.
The majority of pregnant women experienced low Hb levels during pregnancy. Changes in Hb levels during pregnancy were associated with parity, gravida, use of iron before pregnancy, and the presence of diabetes mellitus (type 1 or 2).</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0295549</identifier><identifier>PMID: 38064469</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Algorithms ; Anemia ; Birth weight ; Child ; Clusters ; Cohort Studies ; Data mining ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (insulin dependent) ; Diabetes Mellitus, Type 1 ; Diet ; Education ; Female ; Glycosylated hemoglobin ; Health aspects ; Hemoglobin ; Hemoglobins - analysis ; Humans ; Iron ; Machine learning ; Measurement ; Medical records ; Parity ; Pregnancy ; Pregnancy, Complications of ; Pregnant Women ; Questionnaires ; Risk factors ; Sociodemographics ; Statistical analysis ; Statistics ; Womens health</subject><ispartof>PloS one, 2023-12, Vol.18 (12), p.e0295549-e0295549</ispartof><rights>Copyright: © 2023 Abdullahi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Abdullahi 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>2023 Abdullahi 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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c586t-9acba8f4614a4aea634efd89c83c797e2f89ea051c35dbf8f89e41f4482c31523</cites><orcidid>0000-0003-4970-4618 ; 0000-0001-5292-8212 ; 0000-0001-6102-0353</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0295549&type=printable$$EPDF$$P50$$Gplos$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0295549$$EHTML$$P50$$Gplos$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,2096,2915,23845,27901,27902,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38064469$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Abdullahi, Aminu S</creatorcontrib><creatorcontrib>Suliman, Abubaker</creatorcontrib><creatorcontrib>Khan, Moien Ab</creatorcontrib><creatorcontrib>Khair, Howaida</creatorcontrib><creatorcontrib>Ghazal-Aswad, Saad</creatorcontrib><creatorcontrib>Elbarazi, Iffat</creatorcontrib><creatorcontrib>Al-Maskari, Fatima</creatorcontrib><creatorcontrib>Loney, Tom</creatorcontrib><creatorcontrib>Al-Rifai, Rami H</creatorcontrib><creatorcontrib>Ahmed, Luai A</creatorcontrib><title>Temporal trends of hemoglobin among pregnant women: The Mutaba'ah study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Low hemoglobin (Hb) level is a leading cause of many adverse pregnancy outcomes. Patterns of changes in Hb levels during pregnancy are not well understood.
This study estimated Hb levels, described its changing patterns across gestational trimesters, and identified factors associated with these changes among pregnant women.
Data from the ongoing maternal and child health cohort study-The Mutaba'ah Study, was used (N = 1,120). KML machine learning algorithm was applied to identify three distinct cluster trajectories of Hb levels between the first and the third trimesters. Descriptive statistics were used to profile the study participants. Multinomial multivariable logistic regression was employed to identify factors associated with change patterns in Hb levels.
The three identified clusters-A, B and C-had, respectively, median Hb levels (g/L) of 123, 118, and 104 in the first trimester and 119, 100, and 108 in the third trimester. Cluster 'A' maintained average normal Hb levels in both trimesters. Cluster 'B', on average, experienced a decrease in Hb levels below the normal range during the third trimester. Cluster 'C' showed increased Hb levels in the third trimester but remained, on average, below the normal range in both trimesters. Pregnant women with higher gravida, diabetes mellitus (type 1 or 2), nulliparity or lower level of education were more likely to be in cluster 'B' than the normal cluster 'A'. Pregnant women who reported using iron supplements before pregnancy or those with low levels of education. were more likely to be in cluster 'C' than the normal cluster 'A'.
The majority of pregnant women experienced low Hb levels during pregnancy. Changes in Hb levels during pregnancy were associated with parity, gravida, use of iron before pregnancy, and the presence of diabetes mellitus (type 1 or 2).</description><subject>Algorithms</subject><subject>Anemia</subject><subject>Birth weight</subject><subject>Child</subject><subject>Clusters</subject><subject>Cohort Studies</subject><subject>Data mining</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (insulin dependent)</subject><subject>Diabetes Mellitus, Type 1</subject><subject>Diet</subject><subject>Education</subject><subject>Female</subject><subject>Glycosylated hemoglobin</subject><subject>Health aspects</subject><subject>Hemoglobin</subject><subject>Hemoglobins - analysis</subject><subject>Humans</subject><subject>Iron</subject><subject>Machine learning</subject><subject>Measurement</subject><subject>Medical records</subject><subject>Parity</subject><subject>Pregnancy</subject><subject>Pregnancy, Complications of</subject><subject>Pregnant Women</subject><subject>Questionnaires</subject><subject>Risk factors</subject><subject>Sociodemographics</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>Womens 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trends of hemoglobin among pregnant women: The Mutaba'ah study</title><author>Abdullahi, Aminu S ; Suliman, Abubaker ; Khan, Moien Ab ; Khair, Howaida ; Ghazal-Aswad, Saad ; Elbarazi, Iffat ; Al-Maskari, Fatima ; Loney, Tom ; Al-Rifai, Rami H ; Ahmed, Luai A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c586t-9acba8f4614a4aea634efd89c83c797e2f89ea051c35dbf8f89e41f4482c31523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>Anemia</topic><topic>Birth weight</topic><topic>Child</topic><topic>Clusters</topic><topic>Cohort Studies</topic><topic>Data mining</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (insulin dependent)</topic><topic>Diabetes Mellitus, Type 1</topic><topic>Diet</topic><topic>Education</topic><topic>Female</topic><topic>Glycosylated hemoglobin</topic><topic>Health 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Fatima</au><au>Loney, Tom</au><au>Al-Rifai, Rami H</au><au>Ahmed, Luai A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Temporal trends of hemoglobin among pregnant women: The Mutaba'ah study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-12-08</date><risdate>2023</risdate><volume>18</volume><issue>12</issue><spage>e0295549</spage><epage>e0295549</epage><pages>e0295549-e0295549</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Low hemoglobin (Hb) level is a leading cause of many adverse pregnancy outcomes. Patterns of changes in Hb levels during pregnancy are not well understood.
This study estimated Hb levels, described its changing patterns across gestational trimesters, and identified factors associated with these changes among pregnant women.
Data from the ongoing maternal and child health cohort study-The Mutaba'ah Study, was used (N = 1,120). KML machine learning algorithm was applied to identify three distinct cluster trajectories of Hb levels between the first and the third trimesters. Descriptive statistics were used to profile the study participants. Multinomial multivariable logistic regression was employed to identify factors associated with change patterns in Hb levels.
The three identified clusters-A, B and C-had, respectively, median Hb levels (g/L) of 123, 118, and 104 in the first trimester and 119, 100, and 108 in the third trimester. Cluster 'A' maintained average normal Hb levels in both trimesters. Cluster 'B', on average, experienced a decrease in Hb levels below the normal range during the third trimester. Cluster 'C' showed increased Hb levels in the third trimester but remained, on average, below the normal range in both trimesters. Pregnant women with higher gravida, diabetes mellitus (type 1 or 2), nulliparity or lower level of education were more likely to be in cluster 'B' than the normal cluster 'A'. Pregnant women who reported using iron supplements before pregnancy or those with low levels of education. were more likely to be in cluster 'C' than the normal cluster 'A'.
The majority of pregnant women experienced low Hb levels during pregnancy. Changes in Hb levels during pregnancy were associated with parity, gravida, use of iron before pregnancy, and the presence of diabetes mellitus (type 1 or 2).</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>38064469</pmid><doi>10.1371/journal.pone.0295549</doi><tpages>e0295549</tpages><orcidid>https://orcid.org/0000-0003-4970-4618</orcidid><orcidid>https://orcid.org/0000-0001-5292-8212</orcidid><orcidid>https://orcid.org/0000-0001-6102-0353</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Algorithms Anemia Birth weight Child Clusters Cohort Studies Data mining Diabetes Diabetes mellitus Diabetes mellitus (insulin dependent) Diabetes Mellitus, Type 1 Diet Education Female Glycosylated hemoglobin Health aspects Hemoglobin Hemoglobins - analysis Humans Iron Machine learning Measurement Medical records Parity Pregnancy Pregnancy, Complications of Pregnant Women Questionnaires Risk factors Sociodemographics Statistical analysis Statistics Womens health |
title | Temporal trends of hemoglobin among pregnant women: The Mutaba'ah study |
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