Characterization of dietary patterns in the Danish national birth cohort in relation to preterm birth
Dietary patterns better reflect eating habits as opposed to single dietary components. However, the use of dietary pattern analysis in nutritional epidemiology has been hampered by the complexity of interpreting and presenting multidimensional dietary data. This study extracts and visualizes dietary...
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| Veröffentlicht in: | PloS one 2014-04, Vol.9 (4), p.e93644-e93644 |
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| description | Dietary patterns better reflect eating habits as opposed to single dietary components. However, the use of dietary pattern analysis in nutritional epidemiology has been hampered by the complexity of interpreting and presenting multidimensional dietary data.
This study extracts and visualizes dietary patterns from self-reported dietary data collected in mid-pregnancy (25th week of gestation) from nearly 60,000 mother-child pairs part of a prospective, longitudinal cohort (Danish National Birth Cohort) and further examines their associations with spontaneous and induced preterm birth (gestational age |
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This study extracts and visualizes dietary patterns from self-reported dietary data collected in mid-pregnancy (25th week of gestation) from nearly 60,000 mother-child pairs part of a prospective, longitudinal cohort (Danish National Birth Cohort) and further examines their associations with spontaneous and induced preterm birth (gestational age<259 days (<37 weeks)).
A total of seven dietary patterns were extracted by principal component analysis, characterized and visualized by color-coded spider plots, and referred to as: Vegetables/Prudent, Alcohol, Western, Nordic, Seafood, Candy and Rice/Pasta/Poultry. A consistent dose-response association with preterm birth was only observed for Western diet with an odds ratio of 1.30 (95% CI: 1.13, 1.49) comparing the highest to the lowest quintile. This association was primarily driven by induced preterm deliveries (odds ratio = 1.66, 95% CI: 1.30, 2.11, comparing the highest to the lowest quintile) while the corresponding odds ratio for spontaneous preterm deliveries was more modest (odds ratio = 1.18, 95% CI: 0.99, 1.39). All based on adjusted analyses.
In conclusion, this study presented a simple and novel framework for visualizing correlation structures between overall consumption of foods group and their relation to nutrient intake and maternal characteristics. Our results suggest that Western-type diet, high in meat and fats and low in fruits and vegetables, is associated with increased odds of induced preterm birth.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0093644</identifier><identifier>PMID: 24747715</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Alcoholic beverages ; Analysis ; Biology and Life Sciences ; Childbirth & labor ; Clinical trials ; Cohort analysis ; Cohort Studies ; Confectionery ; Denmark - epidemiology ; Diet ; Diet Surveys ; Eating ; Epidemiology ; Fats ; Female ; Food and nutrition ; Food consumption ; Food habits ; Gestation ; Gestational age ; Habits ; Health aspects ; Health risk assessment ; Humans ; Infants (Premature) ; Longitudinal Studies ; Meat ; Medicine and Health Sciences ; Mothers ; Multidimensional methods ; Nutrition research ; Pattern analysis ; Physical Sciences ; Preeclampsia ; Pregnancy ; Premature birth ; Premature Birth - epidemiology ; Principal Component Analysis ; Principal components analysis ; Prospective Studies ; Research and Analysis Methods ; Seafood ; Vegetables ; Womens health ; Young Adult</subject><ispartof>PloS one, 2014-04, Vol.9 (4), p.e93644-e93644</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Rasmussen 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>2014 Rasmussen et al 2014 Rasmussen et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-41bde09f45a7c1db8999be0b338b41ae9bdfa170da92b334fc16c845e8a134863</citedby><cites>FETCH-LOGICAL-c758t-41bde09f45a7c1db8999be0b338b41ae9bdfa170da92b334fc16c845e8a134863</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3991586/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3991586/$$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/24747715$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Frasch, Martin Gerbert</contributor><creatorcontrib>Rasmussen, Morten Arendt</creatorcontrib><creatorcontrib>Maslova, Ekaterina</creatorcontrib><creatorcontrib>Halldorsson, Thorhallur Ingi</creatorcontrib><creatorcontrib>Olsen, Sjurdur Frodi</creatorcontrib><title>Characterization of dietary patterns in the Danish national birth cohort in relation to preterm birth</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Dietary patterns better reflect eating habits as opposed to single dietary components. However, the use of dietary pattern analysis in nutritional epidemiology has been hampered by the complexity of interpreting and presenting multidimensional dietary data.
This study extracts and visualizes dietary patterns from self-reported dietary data collected in mid-pregnancy (25th week of gestation) from nearly 60,000 mother-child pairs part of a prospective, longitudinal cohort (Danish National Birth Cohort) and further examines their associations with spontaneous and induced preterm birth (gestational age<259 days (<37 weeks)).
A total of seven dietary patterns were extracted by principal component analysis, characterized and visualized by color-coded spider plots, and referred to as: Vegetables/Prudent, Alcohol, Western, Nordic, Seafood, Candy and Rice/Pasta/Poultry. A consistent dose-response association with preterm birth was only observed for Western diet with an odds ratio of 1.30 (95% CI: 1.13, 1.49) comparing the highest to the lowest quintile. This association was primarily driven by induced preterm deliveries (odds ratio = 1.66, 95% CI: 1.30, 2.11, comparing the highest to the lowest quintile) while the corresponding odds ratio for spontaneous preterm deliveries was more modest (odds ratio = 1.18, 95% CI: 0.99, 1.39). All based on adjusted analyses.
In conclusion, this study presented a simple and novel framework for visualizing correlation structures between overall consumption of foods group and their relation to nutrient intake and maternal characteristics. Our results suggest that Western-type diet, high in meat and fats and low in fruits and vegetables, is associated with increased odds of induced preterm birth.</description><subject>Adult</subject><subject>Alcoholic beverages</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Childbirth & labor</subject><subject>Clinical trials</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Confectionery</subject><subject>Denmark - epidemiology</subject><subject>Diet</subject><subject>Diet Surveys</subject><subject>Eating</subject><subject>Epidemiology</subject><subject>Fats</subject><subject>Female</subject><subject>Food and nutrition</subject><subject>Food consumption</subject><subject>Food habits</subject><subject>Gestation</subject><subject>Gestational age</subject><subject>Habits</subject><subject>Health aspects</subject><subject>Health risk assessment</subject><subject>Humans</subject><subject>Infants (Premature)</subject><subject>Longitudinal Studies</subject><subject>Meat</subject><subject>Medicine and Health Sciences</subject><subject>Mothers</subject><subject>Multidimensional methods</subject><subject>Nutrition research</subject><subject>Pattern analysis</subject><subject>Physical Sciences</subject><subject>Preeclampsia</subject><subject>Pregnancy</subject><subject>Premature birth</subject><subject>Premature Birth - epidemiology</subject><subject>Principal Component Analysis</subject><subject>Principal components analysis</subject><subject>Prospective Studies</subject><subject>Research and Analysis Methods</subject><subject>Seafood</subject><subject>Vegetables</subject><subject>Womens health</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</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>eNqNk12L1DAUhoso7rr6D0QLgujFjEmTfuRGWMavgYUFv27DaXoyzdBpxiQV9debznSXqeyF9KLl5Dlvznl7TpI8pWRJWUnfbO3geuiWe9vjkhDBCs7vJedUsGxRZITdP_k-Sx55vyUkZ1VRPEzOMl7ysqT5eYKrFhyogM78gWBsn1qdNgYDuN_pHkI86H1q-jS0mL6D3vg27Q8gdGltXGhTZVvrwsg47I4awaZ7hzF3d2QeJw80dB6fTO-L5NuH919XnxZX1x_Xq8urhSrzKiw4rRskQvMcSkWbuhJC1EhqxqqaU0BRNxpoSRoQWQxyrWihKp5jBZTxqmAXyfOj7r6zXk4OeUlzWhaURocisT4SjYWt3Duzi41KC0YeAtZtJLhgVIcSaq2rrMl0dJAXGa05Jw1FLXIkObIyar2dbhvqHTYK--Cgm4nOT3rTyo39KZkQND-U-2oScPbHgD7InfEKuw56tMOh7irjGSFj3S_-Qe_ubqI2EBswvbbxXjWKyktW5nmViYxGankHFZ8Gd0bFcdImxmcJr2cJkQn4K2xg8F6uv3z-f_b6-5x9ecK2CF1ove2GcYb8HORHUDnrvUN9azIlctyGGzfkuA1y2oaY9uz0B90m3Yw_-wvfdgWT</recordid><startdate>20140401</startdate><enddate>20140401</enddate><creator>Rasmussen, Morten Arendt</creator><creator>Maslova, Ekaterina</creator><creator>Halldorsson, Thorhallur Ingi</creator><creator>Olsen, Sjurdur Frodi</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>DOA</scope></search><sort><creationdate>20140401</creationdate><title>Characterization of dietary patterns in the Danish national birth cohort in relation to preterm birth</title><author>Rasmussen, Morten Arendt ; Maslova, Ekaterina ; Halldorsson, Thorhallur Ingi ; Olsen, Sjurdur Frodi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-41bde09f45a7c1db8999be0b338b41ae9bdfa170da92b334fc16c845e8a134863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Alcoholic beverages</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Childbirth & labor</topic><topic>Clinical trials</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>Confectionery</topic><topic>Denmark - epidemiology</topic><topic>Diet</topic><topic>Diet Surveys</topic><topic>Eating</topic><topic>Epidemiology</topic><topic>Fats</topic><topic>Female</topic><topic>Food and nutrition</topic><topic>Food consumption</topic><topic>Food habits</topic><topic>Gestation</topic><topic>Gestational age</topic><topic>Habits</topic><topic>Health aspects</topic><topic>Health risk assessment</topic><topic>Humans</topic><topic>Infants (Premature)</topic><topic>Longitudinal Studies</topic><topic>Meat</topic><topic>Medicine and Health Sciences</topic><topic>Mothers</topic><topic>Multidimensional methods</topic><topic>Nutrition research</topic><topic>Pattern analysis</topic><topic>Physical Sciences</topic><topic>Preeclampsia</topic><topic>Pregnancy</topic><topic>Premature birth</topic><topic>Premature Birth - epidemiology</topic><topic>Principal Component Analysis</topic><topic>Principal components analysis</topic><topic>Prospective Studies</topic><topic>Research and Analysis Methods</topic><topic>Seafood</topic><topic>Vegetables</topic><topic>Womens health</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rasmussen, Morten Arendt</creatorcontrib><creatorcontrib>Maslova, Ekaterina</creatorcontrib><creatorcontrib>Halldorsson, Thorhallur Ingi</creatorcontrib><creatorcontrib>Olsen, Sjurdur Frodi</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 - 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Academic</collection><collection>PubMed Central (Full Participant titles)</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>Rasmussen, Morten Arendt</au><au>Maslova, Ekaterina</au><au>Halldorsson, Thorhallur Ingi</au><au>Olsen, Sjurdur Frodi</au><au>Frasch, Martin Gerbert</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterization of dietary patterns in the Danish national birth cohort in relation to preterm birth</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-04-01</date><risdate>2014</risdate><volume>9</volume><issue>4</issue><spage>e93644</spage><epage>e93644</epage><pages>e93644-e93644</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Dietary patterns better reflect eating habits as opposed to single dietary components. However, the use of dietary pattern analysis in nutritional epidemiology has been hampered by the complexity of interpreting and presenting multidimensional dietary data.
This study extracts and visualizes dietary patterns from self-reported dietary data collected in mid-pregnancy (25th week of gestation) from nearly 60,000 mother-child pairs part of a prospective, longitudinal cohort (Danish National Birth Cohort) and further examines their associations with spontaneous and induced preterm birth (gestational age<259 days (<37 weeks)).
A total of seven dietary patterns were extracted by principal component analysis, characterized and visualized by color-coded spider plots, and referred to as: Vegetables/Prudent, Alcohol, Western, Nordic, Seafood, Candy and Rice/Pasta/Poultry. A consistent dose-response association with preterm birth was only observed for Western diet with an odds ratio of 1.30 (95% CI: 1.13, 1.49) comparing the highest to the lowest quintile. This association was primarily driven by induced preterm deliveries (odds ratio = 1.66, 95% CI: 1.30, 2.11, comparing the highest to the lowest quintile) while the corresponding odds ratio for spontaneous preterm deliveries was more modest (odds ratio = 1.18, 95% CI: 0.99, 1.39). All based on adjusted analyses.
In conclusion, this study presented a simple and novel framework for visualizing correlation structures between overall consumption of foods group and their relation to nutrient intake and maternal characteristics. Our results suggest that Western-type diet, high in meat and fats and low in fruits and vegetables, is associated with increased odds of induced preterm birth.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24747715</pmid><doi>10.1371/journal.pone.0093644</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Alcoholic beverages Analysis Biology and Life Sciences Childbirth & labor Clinical trials Cohort analysis Cohort Studies Confectionery Denmark - epidemiology Diet Diet Surveys Eating Epidemiology Fats Female Food and nutrition Food consumption Food habits Gestation Gestational age Habits Health aspects Health risk assessment Humans Infants (Premature) Longitudinal Studies Meat Medicine and Health Sciences Mothers Multidimensional methods Nutrition research Pattern analysis Physical Sciences Preeclampsia Pregnancy Premature birth Premature Birth - epidemiology Principal Component Analysis Principal components analysis Prospective Studies Research and Analysis Methods Seafood Vegetables Womens health Young Adult |
| title | Characterization of dietary patterns in the Danish national birth cohort in relation to preterm birth |
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