Maternal and Pregnancy Related Predictors of Cardiometabolic Traits in Newborns
Publication Date
February 13, 2013
Journal
PLOS ONE
Authors
Katherine M. Morrison, Sonia S. Anand, Salim Yusuf, Stephanie A. Atkinson, et al
Volume
8
Issue
2
Pages
e55815
DOI
https://dx.plos.org/10.1371/journal.pone.0055815
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0055815
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/23418462
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3572188
Europe PMC
http://europepmc.org/abstract/MED/23418462
Web of Science
000315970300053
Scopus
84873894691
Mendeley
http://www.mendeley.com/research/maternal-pregnancy-related-predictors-cardiometabolic-traits-newborns
Events
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Mendeley | Further Information

{"title"=>"Maternal and Pregnancy Related Predictors of Cardiometabolic Traits in Newborns", "type"=>"journal", "authors"=>[{"first_name"=>"Katherine M.", "last_name"=>"Morrison", "scopus_author_id"=>"56540879700"}, {"first_name"=>"Sonia S.", "last_name"=>"Anand", "scopus_author_id"=>"7201522674"}, {"first_name"=>"Salim", "last_name"=>"Yusuf", "scopus_author_id"=>"7202749318"}, {"first_name"=>"Stephanie A.", "last_name"=>"Atkinson", "scopus_author_id"=>"7202602912"}, {"first_name"=>"Karleen M.", "last_name"=>"Schulze", "scopus_author_id"=>"56354109400"}, {"first_name"=>"Purnima", "last_name"=>"Rao-Melacini", "scopus_author_id"=>"8221384300"}, {"first_name"=>"Matthew J.", "last_name"=>"McQueen", "scopus_author_id"=>"7103154099"}, {"first_name"=>"Sarah", "last_name"=>"McDonald", "scopus_author_id"=>"56433780400"}, {"first_name"=>"Richard", "last_name"=>"Persadie", "scopus_author_id"=>"6507974392"}, {"first_name"=>"Barry", "last_name"=>"Hunter", "scopus_author_id"=>"56265772200"}, {"first_name"=>"Jacqueline", "last_name"=>"Bourgeois", "scopus_author_id"=>"7102362232"}, {"first_name"=>"Jan W.", "last_name"=>"Jansen", "scopus_author_id"=>"57198880075"}, {"first_name"=>"Koon K.", "last_name"=>"Teo", "scopus_author_id"=>"7202563785"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"368342625", "doi"=>"10.1371/journal.pone.0055815", "isbn"=>"1932-6203", "pmid"=>"23418462", "issn"=>"19326203", "scopus"=>"2-s2.0-84873894691", "sgr"=>"84873894691"}, "id"=>"c05bd1a3-c59b-3beb-939c-b086412e78c1", "abstract"=>"BACKGROUND: The influence of multiple maternal and pregnancy characteristics on offspring cardiometabolic traits at birth is not well understood and was evaluated in this study.\\n\\nMETHODS AND FINDINGS: The Family Atherosclerosis Monitoring In earLY life (FAMILY) Study prospectively evaluated 11 cardiometabolic traits in 901 babies born to 857 mothers. The influence of maternal age, health (pre-pregnancy weight, blood pressure, glycemic status, lipids), health behaviors (diet, activity, smoking) and pregnancy characteristics (gestational age at birth, gestational weight gain and placental-fetal ratio) were examined. Greater gestational age influenced multiple newborn cardiometabolic traits including cord blood lipids, glucose and insulin, body fat and blood pressure. In a subset of 442 singleton mother/infant pairs, principal component analysis grouped 11 newborn cardiometabolic traits into 5 components (anthropometry/insulin, 2 lipid components, blood pressure and glycemia), accounting for 74% of the variance of the 11 outcome variables. Determinants of these components, corrected for sex and gestational age, were examined. Baby anthropometry/insulin was independently predicted by higher maternal pre-pregnancy weight (standardized estimate 0.30) and gestational weight gain (0.30; both p<0.0001) and was inversely related to smoking during pregnancy (-0.144; p = 0.01) and maternal polyunsaturated to saturated fat intake (-0.135;p = 0.01). Component 2 (HDL-C/Apo Apolipoprotein1) was inversely associated with maternal age. Component 3 (blood pressure) was not clustered with any other newborn cardiometabolic trait and no associations with maternal pregnancy characteristics were identified. Component 4 (triglycerides) was positively associated with maternal hypertension and triglycerides, and inversely associated with maternal HDL and age. Component 5 (glycemia) was inversely associated with placental/fetal ratio (-0.141; p = 0.005). LDL-C was a bridging variable between the lipid factors and glycemia.\\n\\nCONCLUSIONS: Maternal health, health behaviours and placenta to fetal weight ratio are associated with newborn cardiometabolic traits over and above gestational age. Future investigations are needed to determine if these factors remain important determinants of cardiometabolic health throughout childhood.", "link"=>"http://www.mendeley.com/research/maternal-pregnancy-related-predictors-cardiometabolic-traits-newborns", "reader_count"=>41, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>1, "Librarian"=>2, "Researcher"=>7, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>2, "Other"=>2, "Student > Master"=>10, "Student > Bachelor"=>1, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>1, "Librarian"=>2, "Researcher"=>7, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>2, "Other"=>2, "Student > Master"=>10, "Student > Bachelor"=>1, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Nursing and Health Professions"=>2, "Medicine and Dentistry"=>22, "Agricultural and Biological Sciences"=>6, "Arts and Humanities"=>1, "Sports and Recreations"=>2, "Social Sciences"=>3, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>22}, "Social Sciences"=>{"Social Sciences"=>3}, "Sports and Recreations"=>{"Sports and Recreations"=>2}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>6}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Unspecified"=>{"Unspecified"=>4}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"Netherlands"=>2, "United States"=>1, "Germany"=>1, "Spain"=>1}, "group_count"=>4}

Scopus | Further Information

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  • {"files"=>["http://files.figshare.com/489563/Table_2.xls"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "users"=>["Katherine M. Morrison", "Stephanie A. Atkinson", "Karleen M. Schulze", "Purnima Rao-Melacini", "Richard Persadie", "Barry Hunter", "Jacqueline Bourgeois", "Jan W. Jansen", "Koon K. Teo", "Salim Yusuf", "Sarah McDonald", "Sonia S. Anand", "Matthew J. McQueen"], "links"=>[], "tags"=>["biochemical", "characteristics", "measures"], "title"=>"<p>Demographic characteristics and biochemical measures (mean and SD) for newborns.</p>", "figshare_url"=>"http://figshare.com/articles/_Demographic_characteristics_and_biochemical_measures_mean_and_SD_for_newborns_/160074", "defined_type"=>3, "doi"=>["http://dx.doi.org/10.1371/journal.pone.0055815.t002"], "published_date"=>"2013-02-13 00:01:14", "article_id"=>160074, "categories"=>["Biotechnology", "Medicine", "Cell Biology", "Chemistry"], "description"=>"<p>Demographic characteristics and biochemical measures (mean and SD) for newborns.</p>"}
  • {"files"=>["http://files.figshare.com/489095/Figure_1.tif"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "users"=>["Katherine M. Morrison", "Stephanie A. Atkinson", "Karleen M. Schulze", "Purnima Rao-Melacini", "Richard Persadie", "Barry Hunter", "Jacqueline Bourgeois", "Jan W. Jansen", "Koon K. Teo", "Salim Yusuf", "Sarah McDonald", "Sonia S. Anand", "Matthew J. McQueen"], "links"=>[], "tags"=>["components", "newborn", "cardiometabolic", "variables"], "title"=>"<p>Visual representation of the relationship between newborn cardiometabolic components (illustrated with diamonds) and the maternal/pregnancy variables associated with them (in rectangles).</p>", "figshare_url"=>"http://figshare.com/articles/_Visual_representation_of_the_relationship_between_newborn_cardiometabolic_components_illustrated_with_diamonds_and_the_maternal_pregnancy_variables_associated_with_them_in_rectangles_/159597", "defined_type"=>1, "doi"=>["http://dx.doi.org/10.1371/journal.pone.0055815.g001"], "published_date"=>"2013-02-13 02:39:57", "article_id"=>159597, "categories"=>["Biotechnology", "Medicine", "Cell Biology", "Chemistry"], "description"=>"<p >Numbers beside the arrows represents the strength and direction of the relationship between the variable and the component. Variables within ovals &#8220;bridge&#8221; 2 components as they are loaded onto more than one component. All newborn traits were adjusted for gestational age and sex prior to principal component analysis. Blood pressure and body fat were also adjusted for age at time of measurement.</p>"}
  • {"files"=>["http://files.figshare.com/489465/Table_7.xls"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "users"=>["Katherine M. Morrison", "Stephanie A. Atkinson", "Karleen M. Schulze", "Purnima Rao-Melacini", "Richard Persadie", "Barry Hunter", "Jacqueline Bourgeois", "Jan W. Jansen", "Koon K. Teo", "Salim Yusuf", "Sarah McDonald", "Sonia S. Anand", "Matthew J. McQueen"], "links"=>[], "tags"=>["loadings"], "title"=>"<p>Variable Loadings for the First 5 Principal Components.</p>", "figshare_url"=>"http://figshare.com/articles/_Variable_Loadings_for_the_First_5_Principal_Components_/159981", "defined_type"=>3, "doi"=>["http://dx.doi.org/10.1371/journal.pone.0055815.t007"], "published_date"=>"2013-02-13 02:46:21", "article_id"=>159981, "categories"=>["Biotechnology", "Medicine", "Cell Biology", "Chemistry"], "description"=>"<p >Variable loadings &gt;0.3 are in bold to improve interpretability. The 5 components identified are labelled as follows: anthropometry/insulin (PC1), HDL-C/ApoA1 (PC2), Blood Pressure (PC3), Triglyceride (PC4) and Glycemia (PC5).</p>"}
  • {"files"=>["http://files.figshare.com/489282/Table_8.xls"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "users"=>["Katherine M. Morrison", "Stephanie A. Atkinson", "Karleen M. Schulze", "Purnima Rao-Melacini", "Richard Persadie", "Barry Hunter", "Jacqueline Bourgeois", "Jan W. Jansen", "Koon K. Teo", "Salim Yusuf", "Sarah McDonald", "Sonia S. Anand", "Matthew J. McQueen"], "links"=>[], "tags"=>["predictors", "components", "variables"], "title"=>"<p>Maternal variables as predictors of principal components (N&#8202;=&#8202;442).</p>", "figshare_url"=>"http://figshare.com/articles/_Maternal_variables_as_predictors_of_principal_components_N_8202_8202_442_/159792", "defined_type"=>3, "doi"=>["http://dx.doi.org/10.1371/journal.pone.0055815.t008"], "published_date"=>"2013-02-13 02:43:12", "article_id"=>159792, "categories"=>["Biotechnology", "Medicine", "Cell Biology", "Chemistry"], "description"=>"<p>Maternal variables as predictors of principal components (N&#8202;=&#8202;442).</p>"}
  • {"files"=>["http://files.figshare.com/489613/Table_3.xls"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "users"=>["Katherine M. Morrison", "Stephanie A. Atkinson", "Karleen M. Schulze", "Purnima Rao-Melacini", "Richard Persadie", "Barry Hunter", "Jacqueline Bourgeois", "Jan W. Jansen", "Koon K. Teo", "Salim Yusuf", "Sarah McDonald", "Sonia S. Anand", "Matthew J. McQueen"], "links"=>[], "tags"=>["cardiometablic", "gestational"], "title"=>"<p>Newborn cardiometablic traits by gestational age at birth [mean (SE)].</p>", "figshare_url"=>"http://figshare.com/articles/_Newborn_cardiometablic_traits_by_gestational_age_at_birth_mean_SE_/160121", "defined_type"=>3, "doi"=>["http://dx.doi.org/10.1371/journal.pone.0055815.t003"], "published_date"=>"2013-02-13 00:02:01", "article_id"=>160121, "categories"=>["Biotechnology", "Medicine", "Cell Biology", "Chemistry"], "description"=>"<p>Newborn cardiometablic traits by gestational age at birth [mean (SE)].</p>"}
  • {"files"=>["http://files.figshare.com/489418/Table_6.xls"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "users"=>["Katherine M. Morrison", "Stephanie A. Atkinson", "Karleen M. Schulze", "Purnima Rao-Melacini", "Richard Persadie", "Barry Hunter", "Jacqueline Bourgeois", "Jan W. Jansen", "Koon K. Teo", "Salim Yusuf", "Sarah McDonald", "Sonia S. Anand", "Matthew J. McQueen"], "links"=>[], "tags"=>["explained", "variance"], "title"=>"<p>Eigenvalues and their proportion of explained variance from Principal component analysis.</p>", "figshare_url"=>"http://figshare.com/articles/_Eigenvalues_and_their_proportion_of_explained_variance_from_Principal_component_analysis_/159929", "defined_type"=>3, "doi"=>["http://dx.doi.org/10.1371/journal.pone.0055815.t006"], "published_date"=>"2013-02-13 02:45:29", "article_id"=>159929, "categories"=>["Biotechnology", "Medicine", "Cell Biology", "Chemistry"], "description"=>"<p >Eleven newborn characteristics were included in a principal component analysis. Five components with an eigenvalue &gt;1 were kept for further analysis.</p>"}
  • {"files"=>["http://files.figshare.com/489525/Table_1.xls"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "users"=>["Katherine M. Morrison", "Stephanie A. Atkinson", "Karleen M. Schulze", "Purnima Rao-Melacini", "Richard Persadie", "Barry Hunter", "Jacqueline Bourgeois", "Jan W. Jansen", "Koon K. Teo", "Salim Yusuf", "Sarah McDonald", "Sonia S. Anand", "Matthew J. McQueen"], "links"=>[], "tags"=>["biochemical", "characteristics", "mothers", "measures"], "title"=>"<p>Demographic characteristics and biochemical measures (mean and SD) for pregnant mothers at initial visit and after delivery.</p>", "figshare_url"=>"http://figshare.com/articles/_Demographic_characteristics_and_biochemical_measures_mean_and_SD_for_pregnant_mothers_at_initial_visit_and_after_delivery_/160028", "defined_type"=>3, "doi"=>["http://dx.doi.org/10.1371/journal.pone.0055815.t001"], "published_date"=>"2013-02-13 00:00:28", "article_id"=>160028, "categories"=>["Biotechnology", "Medicine", "Cell Biology", "Chemistry"], "description"=>"<p >IGT: Impaired glucose intolerance; NGT: normal glucose tolerance; HT: pre-existing hypertension; GHT: gestational hypertension.</p><span class=\"pl_xls_label\">*</span><p >After removing insoluble fibre.</p><span class=\"pl_xls_label\">**</span><p >Note that the sum of fatty acid classes may not add up to the total fat, since total fat as analyzed may include some non-fatty acid material, such as, glycerol, phosphate, bound sugar or sterol analyzed in that food.</p>"}
  • {"files"=>["http://files.figshare.com/485497/Table_S1.docx"], "pos_in_sequence"=>0, "stats"=>{"downloads"=>0, "page_views"=>20, "likes"=>0}, "users"=>["Katherine M. Morrison", "Stephanie A. Atkinson", "Karleen M. Schulze", "Purnima Rao-Melacini", "Richard Persadie", "Barry Hunter", "Jacqueline Bourgeois", "Jan W. Jansen", "Koon K. Teo", "Salim Yusuf", "Sarah McDonald", "Sonia S. Anand", "Matthew J. McQueen"], "links"=>[], "tags"=>["predictors", "traits", "maternal", "newborns\n", "cardiometabolic"], "title"=>"Maternal and Pregnancy Related Predictors of Cardiometabolic Traits in Newborns\n ", "figshare_url"=>"http://figshare.com/articles/Maternal_and_Pregnancy_Related_Predictors_of_Cardiometabolic_Traits_in_Newborns__/156830", "defined_type"=>3, "doi"=>["http://dx.doi.org/10.1371/journal.pone.0055815.s001"], "published_date"=>"2013-02-13 01:53:50", "article_id"=>156830, "categories"=>["Biotechnology", "Medicine", "Cell Biology", "Chemistry"], "description"=>"<div><section><h3>Background</h3><p>The influence of multiple maternal and pregnancy characteristics on offspring cardiometabolic traits at birth is not well understood and was evaluated in this study.</p> </section><section><h3>Methods and Findings</h3><p>The Family Atherosclerosis Monitoring In earLY life (FAMILY) Study prospectively evaluated 11 cardiometabolic traits in 901 babies born to 857 mothers. The influence of maternal age, health (pre-pregnancy weight, blood pressure, glycemic status, lipids), health behaviors (diet, activity, smoking) and pregnancy characteristics (gestational age at birth, gestational weight gain and placental-fetal ratio) were examined. Greater gestational age influenced multiple newborn cardiometabolic traits including cord blood lipids, glucose and insulin, body fat and blood pressure. In a subset of 442 singleton mother/infant pairs, principal component analysis grouped 11 newborn cardiometabolic traits into 5 components (anthropometry/insulin, 2 lipid components, blood pressure and glycemia), accounting for 74% of the variance of the 11 outcome variables. Determinants of these components, corrected for sex and gestational age, were examined. Baby anthropometry/insulin was independently predicted by higher maternal pre-pregnancy weight (standardized estimate 0.30) and gestational weight gain (0.30; both p&lt;0.0001) and was inversely related to smoking during pregnancy (&#8722;0.144; p&#8202;=&#8202;0.01) and maternal polyunsaturated to saturated fat intake (&#8722;0.135;p&#8202;=&#8202;0.01). Component 2 (HDL-C/Apo Apolipoprotein1) was inversely associated with maternal age. Component 3 (blood pressure) was not clustered with any other newborn cardiometabolic trait and no associations with maternal pregnancy characteristics were identified. Component 4 (triglycerides) was positively associated with maternal hypertension and triglycerides, and inversely associated with maternal HDL and age. Component 5 (glycemia) was inversely associated with placental/fetal ratio (&#8722;0.141; p&#8202;=&#8202;0.005). LDL-C was a bridging variable between the lipid factors and glycemia.</p> </section><section><h3>Conclusions</h3><p>Maternal health, health behaviours and placenta to fetal weight ratio are associated with newborn cardiometabolic traits over and above gestational age. Future investigations are needed to determine if these factors remain important determinants of cardiometabolic health throughout childhood.</p> </section></div>"}

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Relative Metric

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