Meal frequency patterns and glycemic properties of maternal diet in relation to preterm delivery: Results from a large prospective cohort study
Dietary habits are linked to high maternal glucose levels, associated with preterm delivery. The aim of this study was to examine the associations between meal frequency and glycemic properties of maternal diet in relation to preterm delivery. This prospective cohort study included 66,000 women from...
Gespeichert in:
| Veröffentlicht in: | PloS one 2017-03, Vol.12 (3), p.e0172896-e0172896 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0172896 |
|---|---|
| container_issue | 3 |
| container_start_page | e0172896 |
| container_title | PloS one |
| container_volume | 12 |
| creator | Englund-Ögge, Linda Birgisdottir, Bryndis Eva Sengpiel, Verena Brantsæter, Anne Lise Haugen, Margareta Myhre, Ronny Meltzer, Helle Margrete Jacobsson, Bo |
| description | Dietary habits are linked to high maternal glucose levels, associated with preterm delivery. The aim of this study was to examine the associations between meal frequency and glycemic properties of maternal diet in relation to preterm delivery.
This prospective cohort study included 66,000 women from the Norwegian Mother and Child Cohort Study (MoBa). Meal frequency and food intake data were obtained from a validated food frequency questionnaire during mid-pregnancy. Principal component factor analysis was used with a data-driven approach, and three meal frequency patterns were identified: "snack meal", "main meal", and "evening meal". Pattern scores were ranked in quartiles. Glycemic index and glycemic load were estimated from table values. Intakes of carbohydrates, added sugar, and fiber were reported in grams per day and divided into quartiles. Gestational age was obtained from the Medical Birth Registry of Norway. Preterm delivery was defined as birth at |
| doi_str_mv | 10.1371/journal.pone.0172896 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1873344990</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A483675995</galeid><doaj_id>oai_doaj_org_article_21a16cdb290645f199d8b08d4f094aae</doaj_id><sourcerecordid>A483675995</sourcerecordid><originalsourceid>FETCH-LOGICAL-c829t-269a2bdb42a0f3d2f8fa4c6d6240a73803eeb814991f0dda1202b8fd0e985ef43</originalsourceid><addsrcrecordid>eNqNk8tu1DAUhiMEomXgDRBYQkKwmMGXXGwWSFXFpVJRpXLZWk58nEnliYPtFOYpeGWczrRqUBdVFo6Ov_-Pc_yfLHtO8Iqwiry7cKPvlV0NrocVJhXlonyQHRLB6LKkmD289X6QPQnhAuOC8bJ8nB1QTnOBCT_M_n4FZZHx8GuEvtmiQcUIvg9I9Rq1dtvApmvQ4N0APnYQkDNooyYkyXQHEXU98mBV7FyPoksopN0N0mC7S_Db9-gcwmhjSB9xG6SQVb6FyTEM0MTEoMatnY8oxFFvn2aPjLIBnu3XRfbj08fvx1-Wp2efT46PTpcNpyIuaSkUrXWdU4UN09Rwo_Km1CXNsaoYxwyg5iQXghistSIU05objUHwAkzOFtnLne9gXZD7XgZJeMVYnmQ4ESc7Qjt1IQffbZTfSqc6eVVwvpUqtaSxIClRpGx0TQUu88IQITSvMde5wSJXCpLXcucVfsMw1jO3dhxkKrWjDMmpIIUoE_9hf7qx3oBuoI9e2ZlsvtN3a9m6S1kwRrFgyeDN3sC7dLMhyk0XGrBW9eDGq_-sUgZYJe6DprgJnJZF9uo_9O7G7alWpd50vXHpiM1kKo9yzsqqEKJI1OoOKj16SlzKtOlSfSZ4OxMkJsKf2KoxBHny7fz-7NnPOfv6FrtO4xDXwdlxCnSYg_kObFJ2gwdzcx8Ey2kkr7shp5GU-5FMshe37_JGdD2D7B83yzRx</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1873344990</pqid></control><display><type>article</type><title>Meal frequency patterns and glycemic properties of maternal diet in relation to preterm delivery: Results from a large prospective cohort study</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Englund-Ögge, Linda ; Birgisdottir, Bryndis Eva ; Sengpiel, Verena ; Brantsæter, Anne Lise ; Haugen, Margareta ; Myhre, Ronny ; Meltzer, Helle Margrete ; Jacobsson, Bo</creator><contributor>Vassalle, Cristina</contributor><creatorcontrib>Englund-Ögge, Linda ; Birgisdottir, Bryndis Eva ; Sengpiel, Verena ; Brantsæter, Anne Lise ; Haugen, Margareta ; Myhre, Ronny ; Meltzer, Helle Margrete ; Jacobsson, Bo ; Vassalle, Cristina</creatorcontrib><description>Dietary habits are linked to high maternal glucose levels, associated with preterm delivery. The aim of this study was to examine the associations between meal frequency and glycemic properties of maternal diet in relation to preterm delivery.
This prospective cohort study included 66,000 women from the Norwegian Mother and Child Cohort Study (MoBa). Meal frequency and food intake data were obtained from a validated food frequency questionnaire during mid-pregnancy. Principal component factor analysis was used with a data-driven approach, and three meal frequency patterns were identified: "snack meal", "main meal", and "evening meal". Pattern scores were ranked in quartiles. Glycemic index and glycemic load were estimated from table values. Intakes of carbohydrates, added sugar, and fiber were reported in grams per day and divided into quartiles. Gestational age was obtained from the Medical Birth Registry of Norway. Preterm delivery was defined as birth at <37 gestational weeks. A Cox regression model was used to assess associations with preterm delivery.
After adjustments, the "main meal" pattern was associated with a reduced risk of preterm delivery, with hazard ratios (HRs) of 0.89 (95% confidence interval (CI): 0.80, 0.98) and 0.90 (95% CI: 0.81, 0.99) for the third and fourth quartiles, respectively, and p for trend of 0.028. This was mainly attributed to the group of women with BMI ≥25 kg/m2, with HRs of 0.87 (95% CI: 0.79, 0.96) and 0.89 (95% CI: 0.80, 0.98) for the third and fourth quartiles, respectively, and p for trend of 0.010. There was no association between glycemic index, glycemic load, carbohydrates, added sugar, fiber, or the remaining meal frequency patterns and preterm delivery.
Regular consumption of main meals (breakfast, lunch, dinner) was associated with a lower risk of preterm delivery. Diet should be further studied as potential contributing factors for preterm delivery.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0172896</identifier><identifier>PMID: 28249018</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; amniotic-fluid ; Analysis ; Bioinformatics ; Biology and Life Sciences ; Birth ; Body mass ; Carbohydrates ; child cohort ; Cohort analysis ; Cohort Studies ; Confidence intervals ; Cytokines ; Delivery (Childbirth) ; Diabetes ; Diet ; Disease control ; Epidemiology ; Factor analysis ; Feeding Behavior ; Female ; Food ; Food intake ; Gestational age ; Glucose ; Glycemic Index ; Gynecology ; Habits ; Health aspects ; Health risk assessment ; Hospitals ; Humans ; Infant, Newborn ; Infant, Premature ; Infections ; Insulin resistance ; labor ; Male ; Maternal Nutritional Physiological Phenomena ; Meals ; Medicine and Health Sciences ; moba ; Mother-infant relations ; multiple-proteins ; norwegian mother ; Nutrition research ; Obstetrics ; Obstetrics, Gynecology and Reproductive Medicine ; People and Places ; Physical Sciences ; Plasma ; Population ; Pregnancy ; pregnant-women ; Premature birth ; Premature Birth - epidemiology ; Principal components analysis ; Prospective Studies ; Public health ; Quartiles ; Questionnaires ; Regression analysis ; Regression models ; Reproduktionsmedicin och gynekologi ; Research and Analysis Methods ; risk ; Risk reduction ; Science & Technology - Other Topics ; Statistical analysis ; Studies ; Sugar ; Womens health</subject><ispartof>PloS one, 2017-03, Vol.12 (3), p.e0172896-e0172896</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Englund-Ögge 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>2017 Englund-Ögge et al 2017 Englund-Ögge et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c829t-269a2bdb42a0f3d2f8fa4c6d6240a73803eeb814991f0dda1202b8fd0e985ef43</citedby><cites>FETCH-LOGICAL-c829t-269a2bdb42a0f3d2f8fa4c6d6240a73803eeb814991f0dda1202b8fd0e985ef43</cites><orcidid>0000-0001-8334-2070</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5332093/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5332093/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28249018$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://gup.ub.gu.se/publication/251596$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><contributor>Vassalle, Cristina</contributor><creatorcontrib>Englund-Ögge, Linda</creatorcontrib><creatorcontrib>Birgisdottir, Bryndis Eva</creatorcontrib><creatorcontrib>Sengpiel, Verena</creatorcontrib><creatorcontrib>Brantsæter, Anne Lise</creatorcontrib><creatorcontrib>Haugen, Margareta</creatorcontrib><creatorcontrib>Myhre, Ronny</creatorcontrib><creatorcontrib>Meltzer, Helle Margrete</creatorcontrib><creatorcontrib>Jacobsson, Bo</creatorcontrib><title>Meal frequency patterns and glycemic properties of maternal diet in relation to preterm delivery: Results from a large prospective cohort study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Dietary habits are linked to high maternal glucose levels, associated with preterm delivery. The aim of this study was to examine the associations between meal frequency and glycemic properties of maternal diet in relation to preterm delivery.
This prospective cohort study included 66,000 women from the Norwegian Mother and Child Cohort Study (MoBa). Meal frequency and food intake data were obtained from a validated food frequency questionnaire during mid-pregnancy. Principal component factor analysis was used with a data-driven approach, and three meal frequency patterns were identified: "snack meal", "main meal", and "evening meal". Pattern scores were ranked in quartiles. Glycemic index and glycemic load were estimated from table values. Intakes of carbohydrates, added sugar, and fiber were reported in grams per day and divided into quartiles. Gestational age was obtained from the Medical Birth Registry of Norway. Preterm delivery was defined as birth at <37 gestational weeks. A Cox regression model was used to assess associations with preterm delivery.
After adjustments, the "main meal" pattern was associated with a reduced risk of preterm delivery, with hazard ratios (HRs) of 0.89 (95% confidence interval (CI): 0.80, 0.98) and 0.90 (95% CI: 0.81, 0.99) for the third and fourth quartiles, respectively, and p for trend of 0.028. This was mainly attributed to the group of women with BMI ≥25 kg/m2, with HRs of 0.87 (95% CI: 0.79, 0.96) and 0.89 (95% CI: 0.80, 0.98) for the third and fourth quartiles, respectively, and p for trend of 0.010. There was no association between glycemic index, glycemic load, carbohydrates, added sugar, fiber, or the remaining meal frequency patterns and preterm delivery.
Regular consumption of main meals (breakfast, lunch, dinner) was associated with a lower risk of preterm delivery. Diet should be further studied as potential contributing factors for preterm delivery.</description><subject>Adult</subject><subject>amniotic-fluid</subject><subject>Analysis</subject><subject>Bioinformatics</subject><subject>Biology and Life Sciences</subject><subject>Birth</subject><subject>Body mass</subject><subject>Carbohydrates</subject><subject>child cohort</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Confidence intervals</subject><subject>Cytokines</subject><subject>Delivery (Childbirth)</subject><subject>Diabetes</subject><subject>Diet</subject><subject>Disease control</subject><subject>Epidemiology</subject><subject>Factor analysis</subject><subject>Feeding Behavior</subject><subject>Female</subject><subject>Food</subject><subject>Food intake</subject><subject>Gestational age</subject><subject>Glucose</subject><subject>Glycemic Index</subject><subject>Gynecology</subject><subject>Habits</subject><subject>Health aspects</subject><subject>Health risk assessment</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Infant, Newborn</subject><subject>Infant, Premature</subject><subject>Infections</subject><subject>Insulin resistance</subject><subject>labor</subject><subject>Male</subject><subject>Maternal Nutritional Physiological Phenomena</subject><subject>Meals</subject><subject>Medicine and Health Sciences</subject><subject>moba</subject><subject>Mother-infant relations</subject><subject>multiple-proteins</subject><subject>norwegian mother</subject><subject>Nutrition research</subject><subject>Obstetrics</subject><subject>Obstetrics, Gynecology and Reproductive Medicine</subject><subject>People and Places</subject><subject>Physical Sciences</subject><subject>Plasma</subject><subject>Population</subject><subject>Pregnancy</subject><subject>pregnant-women</subject><subject>Premature birth</subject><subject>Premature Birth - epidemiology</subject><subject>Principal components analysis</subject><subject>Prospective Studies</subject><subject>Public health</subject><subject>Quartiles</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Reproduktionsmedicin och gynekologi</subject><subject>Research and Analysis Methods</subject><subject>risk</subject><subject>Risk reduction</subject><subject>Science & Technology - Other Topics</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Sugar</subject><subject>Womens health</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk8tu1DAUhiMEomXgDRBYQkKwmMGXXGwWSFXFpVJRpXLZWk58nEnliYPtFOYpeGWczrRqUBdVFo6Ov_-Pc_yfLHtO8Iqwiry7cKPvlV0NrocVJhXlonyQHRLB6LKkmD289X6QPQnhAuOC8bJ8nB1QTnOBCT_M_n4FZZHx8GuEvtmiQcUIvg9I9Rq1dtvApmvQ4N0APnYQkDNooyYkyXQHEXU98mBV7FyPoksopN0N0mC7S_Db9-gcwmhjSB9xG6SQVb6FyTEM0MTEoMatnY8oxFFvn2aPjLIBnu3XRfbj08fvx1-Wp2efT46PTpcNpyIuaSkUrXWdU4UN09Rwo_Km1CXNsaoYxwyg5iQXghistSIU05objUHwAkzOFtnLne9gXZD7XgZJeMVYnmQ4ESc7Qjt1IQffbZTfSqc6eVVwvpUqtaSxIClRpGx0TQUu88IQITSvMde5wSJXCpLXcucVfsMw1jO3dhxkKrWjDMmpIIUoE_9hf7qx3oBuoI9e2ZlsvtN3a9m6S1kwRrFgyeDN3sC7dLMhyk0XGrBW9eDGq_-sUgZYJe6DprgJnJZF9uo_9O7G7alWpd50vXHpiM1kKo9yzsqqEKJI1OoOKj16SlzKtOlSfSZ4OxMkJsKf2KoxBHny7fz-7NnPOfv6FrtO4xDXwdlxCnSYg_kObFJ2gwdzcx8Ey2kkr7shp5GU-5FMshe37_JGdD2D7B83yzRx</recordid><startdate>20170301</startdate><enddate>20170301</enddate><creator>Englund-Ögge, Linda</creator><creator>Birgisdottir, Bryndis Eva</creator><creator>Sengpiel, Verena</creator><creator>Brantsæter, Anne Lise</creator><creator>Haugen, Margareta</creator><creator>Myhre, Ronny</creator><creator>Meltzer, Helle Margrete</creator><creator>Jacobsson, Bo</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>F1U</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8334-2070</orcidid></search><sort><creationdate>20170301</creationdate><title>Meal frequency patterns and glycemic properties of maternal diet in relation to preterm delivery: Results from a large prospective cohort study</title><author>Englund-Ögge, Linda ; Birgisdottir, Bryndis Eva ; Sengpiel, Verena ; Brantsæter, Anne Lise ; Haugen, Margareta ; Myhre, Ronny ; Meltzer, Helle Margrete ; Jacobsson, Bo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c829t-269a2bdb42a0f3d2f8fa4c6d6240a73803eeb814991f0dda1202b8fd0e985ef43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>amniotic-fluid</topic><topic>Analysis</topic><topic>Bioinformatics</topic><topic>Biology and Life Sciences</topic><topic>Birth</topic><topic>Body mass</topic><topic>Carbohydrates</topic><topic>child cohort</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>Confidence intervals</topic><topic>Cytokines</topic><topic>Delivery (Childbirth)</topic><topic>Diabetes</topic><topic>Diet</topic><topic>Disease control</topic><topic>Epidemiology</topic><topic>Factor analysis</topic><topic>Feeding Behavior</topic><topic>Female</topic><topic>Food</topic><topic>Food intake</topic><topic>Gestational age</topic><topic>Glucose</topic><topic>Glycemic Index</topic><topic>Gynecology</topic><topic>Habits</topic><topic>Health aspects</topic><topic>Health risk assessment</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Infant, Newborn</topic><topic>Infant, Premature</topic><topic>Infections</topic><topic>Insulin resistance</topic><topic>labor</topic><topic>Male</topic><topic>Maternal Nutritional Physiological Phenomena</topic><topic>Meals</topic><topic>Medicine and Health Sciences</topic><topic>moba</topic><topic>Mother-infant relations</topic><topic>multiple-proteins</topic><topic>norwegian mother</topic><topic>Nutrition research</topic><topic>Obstetrics</topic><topic>Obstetrics, Gynecology and Reproductive Medicine</topic><topic>People and Places</topic><topic>Physical Sciences</topic><topic>Plasma</topic><topic>Population</topic><topic>Pregnancy</topic><topic>pregnant-women</topic><topic>Premature birth</topic><topic>Premature Birth - epidemiology</topic><topic>Principal components analysis</topic><topic>Prospective Studies</topic><topic>Public health</topic><topic>Quartiles</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Reproduktionsmedicin och gynekologi</topic><topic>Research and Analysis Methods</topic><topic>risk</topic><topic>Risk reduction</topic><topic>Science & Technology - Other Topics</topic><topic>Statistical analysis</topic><topic>Studies</topic><topic>Sugar</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Englund-Ögge, Linda</creatorcontrib><creatorcontrib>Birgisdottir, Bryndis Eva</creatorcontrib><creatorcontrib>Sengpiel, Verena</creatorcontrib><creatorcontrib>Brantsæter, Anne Lise</creatorcontrib><creatorcontrib>Haugen, Margareta</creatorcontrib><creatorcontrib>Myhre, Ronny</creatorcontrib><creatorcontrib>Meltzer, Helle Margrete</creatorcontrib><creatorcontrib>Jacobsson, Bo</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</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>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</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 China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Göteborgs universitet</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Englund-Ögge, Linda</au><au>Birgisdottir, Bryndis Eva</au><au>Sengpiel, Verena</au><au>Brantsæter, Anne Lise</au><au>Haugen, Margareta</au><au>Myhre, Ronny</au><au>Meltzer, Helle Margrete</au><au>Jacobsson, Bo</au><au>Vassalle, Cristina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Meal frequency patterns and glycemic properties of maternal diet in relation to preterm delivery: Results from a large prospective cohort study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-03-01</date><risdate>2017</risdate><volume>12</volume><issue>3</issue><spage>e0172896</spage><epage>e0172896</epage><pages>e0172896-e0172896</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Dietary habits are linked to high maternal glucose levels, associated with preterm delivery. The aim of this study was to examine the associations between meal frequency and glycemic properties of maternal diet in relation to preterm delivery.
This prospective cohort study included 66,000 women from the Norwegian Mother and Child Cohort Study (MoBa). Meal frequency and food intake data were obtained from a validated food frequency questionnaire during mid-pregnancy. Principal component factor analysis was used with a data-driven approach, and three meal frequency patterns were identified: "snack meal", "main meal", and "evening meal". Pattern scores were ranked in quartiles. Glycemic index and glycemic load were estimated from table values. Intakes of carbohydrates, added sugar, and fiber were reported in grams per day and divided into quartiles. Gestational age was obtained from the Medical Birth Registry of Norway. Preterm delivery was defined as birth at <37 gestational weeks. A Cox regression model was used to assess associations with preterm delivery.
After adjustments, the "main meal" pattern was associated with a reduced risk of preterm delivery, with hazard ratios (HRs) of 0.89 (95% confidence interval (CI): 0.80, 0.98) and 0.90 (95% CI: 0.81, 0.99) for the third and fourth quartiles, respectively, and p for trend of 0.028. This was mainly attributed to the group of women with BMI ≥25 kg/m2, with HRs of 0.87 (95% CI: 0.79, 0.96) and 0.89 (95% CI: 0.80, 0.98) for the third and fourth quartiles, respectively, and p for trend of 0.010. There was no association between glycemic index, glycemic load, carbohydrates, added sugar, fiber, or the remaining meal frequency patterns and preterm delivery.
Regular consumption of main meals (breakfast, lunch, dinner) was associated with a lower risk of preterm delivery. Diet should be further studied as potential contributing factors for preterm delivery.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28249018</pmid><doi>10.1371/journal.pone.0172896</doi><tpages>e0172896</tpages><orcidid>https://orcid.org/0000-0001-8334-2070</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2017-03, Vol.12 (3), p.e0172896-e0172896 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1873344990 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adult amniotic-fluid Analysis Bioinformatics Biology and Life Sciences Birth Body mass Carbohydrates child cohort Cohort analysis Cohort Studies Confidence intervals Cytokines Delivery (Childbirth) Diabetes Diet Disease control Epidemiology Factor analysis Feeding Behavior Female Food Food intake Gestational age Glucose Glycemic Index Gynecology Habits Health aspects Health risk assessment Hospitals Humans Infant, Newborn Infant, Premature Infections Insulin resistance labor Male Maternal Nutritional Physiological Phenomena Meals Medicine and Health Sciences moba Mother-infant relations multiple-proteins norwegian mother Nutrition research Obstetrics Obstetrics, Gynecology and Reproductive Medicine People and Places Physical Sciences Plasma Population Pregnancy pregnant-women Premature birth Premature Birth - epidemiology Principal components analysis Prospective Studies Public health Quartiles Questionnaires Regression analysis Regression models Reproduktionsmedicin och gynekologi Research and Analysis Methods risk Risk reduction Science & Technology - Other Topics Statistical analysis Studies Sugar Womens health |
| title | Meal frequency patterns and glycemic properties of maternal diet in relation to preterm delivery: Results from a large prospective cohort study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T11%3A26%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Meal%20frequency%20patterns%20and%20glycemic%20properties%20of%20maternal%20diet%20in%20relation%20to%20preterm%20delivery:%20Results%20from%20a%20large%20prospective%20cohort%20study&rft.jtitle=PloS%20one&rft.au=Englund-%C3%96gge,%20Linda&rft.date=2017-03-01&rft.volume=12&rft.issue=3&rft.spage=e0172896&rft.epage=e0172896&rft.pages=e0172896-e0172896&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0172896&rft_dat=%3Cgale_plos_%3EA483675995%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1873344990&rft_id=info:pmid/28249018&rft_galeid=A483675995&rft_doaj_id=oai_doaj_org_article_21a16cdb290645f199d8b08d4f094aae&rfr_iscdi=true |