Food composition of the diet in relation to changes in waist circumference adjusted for body mass index
Dietary factors such as low energy density and low glycemic index were associated with a lower gain in abdominal adiposity. A better understanding of which food groups/items contribute to these associations is necessary. To ascertain the association of food groups/items consumption on prospective an...
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creator | Romaguera, Dora Ängquist, Lars Du, Huaidong Jakobsen, Marianne Uhre Forouhi, Nita G Halkjær, Jytte Feskens, Edith J M van der A, Daphne L Masala, Giovanna Steffen, Annika Palli, Domenico Wareham, Nicholas J Overvad, Kim Tjønneland, Anne Boeing, Heiner Riboli, Elio Sørensen, Thorkild I |
description | Dietary factors such as low energy density and low glycemic index were associated with a lower gain in abdominal adiposity. A better understanding of which food groups/items contribute to these associations is necessary.
To ascertain the association of food groups/items consumption on prospective annual changes in "waist circumference for a given BMI" (WC(BMI)), a proxy for abdominal adiposity.
We analyzed data from 48,631 men and women from 5 countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Anthropometric measurements were obtained at baseline and after a median follow-up time of 5.5 years. WC(BMI) was defined as the residuals of waist circumference regressed on BMI, and annual change in WC(BMI) (ΔWC(BMI), cm/y) was defined as the difference between residuals at follow-up and baseline, divided by follow-up time. The association between food groups/items and ΔWC(BMI) was modelled using centre-specific adjusted linear regression, and random-effects meta-analyses to obtain pooled estimates.
Higher fruit and dairy products consumption was associated with a lower gain in WC(BMI) whereas the consumption of white bread, processed meat, margarine, and soft drinks was positively associated with ΔWC(BMI). When these six food groups/items were analyzed in combination using a summary score, those in the highest quartile of the score--indicating a more favourable dietary pattern--showed a ΔWC(BMI) of -0.11 (95% CI -0.09 to -0.14) cm/y compared to those in the lowest quartile.
A dietary pattern high in fruit and dairy and low in white bread, processed meat, margarine, and soft drinks may help to prevent abdominal fat accumulation. |
doi_str_mv | 10.1371/journal.pone.0023384 |
format | Article |
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To ascertain the association of food groups/items consumption on prospective annual changes in "waist circumference for a given BMI" (WC(BMI)), a proxy for abdominal adiposity.
We analyzed data from 48,631 men and women from 5 countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Anthropometric measurements were obtained at baseline and after a median follow-up time of 5.5 years. WC(BMI) was defined as the residuals of waist circumference regressed on BMI, and annual change in WC(BMI) (ΔWC(BMI), cm/y) was defined as the difference between residuals at follow-up and baseline, divided by follow-up time. The association between food groups/items and ΔWC(BMI) was modelled using centre-specific adjusted linear regression, and random-effects meta-analyses to obtain pooled estimates.
Higher fruit and dairy products consumption was associated with a lower gain in WC(BMI) whereas the consumption of white bread, processed meat, margarine, and soft drinks was positively associated with ΔWC(BMI). When these six food groups/items were analyzed in combination using a summary score, those in the highest quartile of the score--indicating a more favourable dietary pattern--showed a ΔWC(BMI) of -0.11 (95% CI -0.09 to -0.14) cm/y compared to those in the lowest quartile.
A dietary pattern high in fruit and dairy and low in white bread, processed meat, margarine, and soft drinks may help to prevent abdominal fat accumulation.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0023384</identifier><identifier>PMID: 21858094</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abdominal Fat - metabolism ; Adipose tissue ; Adiposity - physiology ; Adult ; Aged ; Analysis ; Anthropometry ; Beverages ; Biology ; Blood pressure ; Body Composition - physiology ; Body mass ; Body Mass Index ; Body measurements ; Body size ; Bread ; calcium intake ; Cancer ; Cancer research ; Cardiovascular disease ; Chronic illnesses ; clinical-trial ; Dairy Products ; Data processing ; Denmark ; Diet ; eating plan ; Epidemiology ; Ethics ; european men ; Female ; Flux density ; Food ; Food composition ; Food consumption ; Food groups ; Fruit ; Fruits ; Germany ; Glycemic Index ; Humans ; Italy ; Linear Models ; Male ; Margarine ; Meat ; Medicine ; Middle Aged ; middle-aged men ; Netherlands ; Nutrition ; Preventive medicine ; Regression analysis ; Soft drinks ; Studies ; subsequent changes ; United Kingdom ; visceral fat ; Waist Circumference - physiology ; weight-loss ; women ; Womens health</subject><ispartof>PloS one, 2011-08, Vol.6 (8), p.e23384-e23384</ispartof><rights>COPYRIGHT 2011 Public Library of Science</rights><rights>2011 Romaguera et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://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>Romaguera et al. 2011</rights><rights>Wageningen University & Research</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c742t-7349dd3361f68cb7fb10639b42996ebc7a0b1b726253c1874686750adf95f0273</citedby><cites>FETCH-LOGICAL-c742t-7349dd3361f68cb7fb10639b42996ebc7a0b1b726253c1874686750adf95f0273</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/PMC3157378/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3157378/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,2103,2929,23871,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21858094$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Calbet, Jose A. L.</contributor><creatorcontrib>Romaguera, Dora</creatorcontrib><creatorcontrib>Ängquist, Lars</creatorcontrib><creatorcontrib>Du, Huaidong</creatorcontrib><creatorcontrib>Jakobsen, Marianne Uhre</creatorcontrib><creatorcontrib>Forouhi, Nita G</creatorcontrib><creatorcontrib>Halkjær, Jytte</creatorcontrib><creatorcontrib>Feskens, Edith J M</creatorcontrib><creatorcontrib>van der A, Daphne L</creatorcontrib><creatorcontrib>Masala, Giovanna</creatorcontrib><creatorcontrib>Steffen, Annika</creatorcontrib><creatorcontrib>Palli, Domenico</creatorcontrib><creatorcontrib>Wareham, Nicholas J</creatorcontrib><creatorcontrib>Overvad, Kim</creatorcontrib><creatorcontrib>Tjønneland, Anne</creatorcontrib><creatorcontrib>Boeing, Heiner</creatorcontrib><creatorcontrib>Riboli, Elio</creatorcontrib><creatorcontrib>Sørensen, Thorkild I</creatorcontrib><title>Food composition of the diet in relation to changes in waist circumference adjusted for body mass index</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Dietary factors such as low energy density and low glycemic index were associated with a lower gain in abdominal adiposity. A better understanding of which food groups/items contribute to these associations is necessary.
To ascertain the association of food groups/items consumption on prospective annual changes in "waist circumference for a given BMI" (WC(BMI)), a proxy for abdominal adiposity.
We analyzed data from 48,631 men and women from 5 countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Anthropometric measurements were obtained at baseline and after a median follow-up time of 5.5 years. WC(BMI) was defined as the residuals of waist circumference regressed on BMI, and annual change in WC(BMI) (ΔWC(BMI), cm/y) was defined as the difference between residuals at follow-up and baseline, divided by follow-up time. The association between food groups/items and ΔWC(BMI) was modelled using centre-specific adjusted linear regression, and random-effects meta-analyses to obtain pooled estimates.
Higher fruit and dairy products consumption was associated with a lower gain in WC(BMI) whereas the consumption of white bread, processed meat, margarine, and soft drinks was positively associated with ΔWC(BMI). When these six food groups/items were analyzed in combination using a summary score, those in the highest quartile of the score--indicating a more favourable dietary pattern--showed a ΔWC(BMI) of -0.11 (95% CI -0.09 to -0.14) cm/y compared to those in the lowest quartile.
A dietary pattern high in fruit and dairy and low in white bread, processed meat, margarine, and soft drinks may help to prevent abdominal fat accumulation.</description><subject>Abdominal Fat - metabolism</subject><subject>Adipose tissue</subject><subject>Adiposity - physiology</subject><subject>Adult</subject><subject>Aged</subject><subject>Analysis</subject><subject>Anthropometry</subject><subject>Beverages</subject><subject>Biology</subject><subject>Blood pressure</subject><subject>Body Composition - physiology</subject><subject>Body mass</subject><subject>Body Mass Index</subject><subject>Body measurements</subject><subject>Body size</subject><subject>Bread</subject><subject>calcium intake</subject><subject>Cancer</subject><subject>Cancer research</subject><subject>Cardiovascular disease</subject><subject>Chronic illnesses</subject><subject>clinical-trial</subject><subject>Dairy Products</subject><subject>Data processing</subject><subject>Denmark</subject><subject>Diet</subject><subject>eating plan</subject><subject>Epidemiology</subject><subject>Ethics</subject><subject>european men</subject><subject>Female</subject><subject>Flux density</subject><subject>Food</subject><subject>Food composition</subject><subject>Food consumption</subject><subject>Food groups</subject><subject>Fruit</subject><subject>Fruits</subject><subject>Germany</subject><subject>Glycemic Index</subject><subject>Humans</subject><subject>Italy</subject><subject>Linear Models</subject><subject>Male</subject><subject>Margarine</subject><subject>Meat</subject><subject>Medicine</subject><subject>Middle Aged</subject><subject>middle-aged men</subject><subject>Netherlands</subject><subject>Nutrition</subject><subject>Preventive medicine</subject><subject>Regression analysis</subject><subject>Soft drinks</subject><subject>Studies</subject><subject>subsequent changes</subject><subject>United Kingdom</subject><subject>visceral fat</subject><subject>Waist Circumference - physiology</subject><subject>weight-loss</subject><subject>women</subject><subject>Womens health</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</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>eNqNk11rFDEUhgdRbK3-A9EBQfFi12SSSTJeCKVYLRQKft2GfM5mmUnWJGPbf2-muy1d6YXMRYaT57w5501OVb2EYAkRhR_WYYpeDMtN8GYJQIMQw4-qQ9ihZkEagB7f-z-onqW0BqBFjJCn1UEDWctAhw-r_jQEXaswbkJy2QVfB1vnlam1M7l2vo5mEDfxHGq1Er43aQ5fCpdyrVxU02hNNF6ZWuj1lLLRtQ2xlkFf16NIM63N1fPqiRVDMi9261H18_Tzj5Ovi_OLL2cnx-cLRXGTFxThTmuECLSEKUmthICgTuKm64iRigogoaQNaVqkIKOYMEJbILTtWgsaio6q11vdzRAS33mUOESAFR8AZIU42xI6iDXfRDeKeM2DcPwmEGLPRcxODYYDJmArCJLCdph2hrFO6k6T1jJZjsVF6-NW61L0xrtijudeROXSjeDgZJzFL6fI_TAvm0kmjpuGsrnUT7tSJzkarYzPUQx7Fe3veLfiffjDEWwponMn73YCMfyeTMp8dEmZYRDehClxxjDDtCm3flS9-Yd82Jkd1YvSvPM2lGPVrMmPMSWMlbrnnpcPUOXTZnSqPEbrSnwv4f1eQmGyucq9mFLiZ9-__T978WuffXuPXRkx5FUKwzS_1rQP4i2oYkgpGnvnMQR8nqVbN_g8S3w3SyXt1f37uUu6HR70F7_1GmE</recordid><startdate>20110817</startdate><enddate>20110817</enddate><creator>Romaguera, Dora</creator><creator>Ängquist, Lars</creator><creator>Du, Huaidong</creator><creator>Jakobsen, Marianne Uhre</creator><creator>Forouhi, Nita G</creator><creator>Halkjær, Jytte</creator><creator>Feskens, Edith J M</creator><creator>van der A, Daphne L</creator><creator>Masala, Giovanna</creator><creator>Steffen, Annika</creator><creator>Palli, Domenico</creator><creator>Wareham, Nicholas J</creator><creator>Overvad, Kim</creator><creator>Tjønneland, Anne</creator><creator>Boeing, Heiner</creator><creator>Riboli, Elio</creator><creator>Sørensen, Thorkild I</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>QVL</scope><scope>DOA</scope></search><sort><creationdate>20110817</creationdate><title>Food composition of the diet in relation to changes in waist circumference adjusted for body mass index</title><author>Romaguera, Dora ; Ängquist, Lars ; Du, Huaidong ; Jakobsen, Marianne Uhre ; Forouhi, Nita G ; Halkjær, Jytte ; Feskens, Edith J M ; van der A, Daphne L ; Masala, Giovanna ; Steffen, Annika ; Palli, Domenico ; Wareham, Nicholas J ; Overvad, Kim ; Tjønneland, Anne ; Boeing, Heiner ; Riboli, Elio ; Sørensen, Thorkild I</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c742t-7349dd3361f68cb7fb10639b42996ebc7a0b1b726253c1874686750adf95f0273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Abdominal Fat - 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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>NARCIS:Publications</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>Romaguera, Dora</au><au>Ängquist, Lars</au><au>Du, Huaidong</au><au>Jakobsen, Marianne Uhre</au><au>Forouhi, Nita G</au><au>Halkjær, Jytte</au><au>Feskens, Edith J M</au><au>van der A, Daphne L</au><au>Masala, Giovanna</au><au>Steffen, Annika</au><au>Palli, Domenico</au><au>Wareham, Nicholas J</au><au>Overvad, Kim</au><au>Tjønneland, Anne</au><au>Boeing, Heiner</au><au>Riboli, Elio</au><au>Sørensen, Thorkild I</au><au>Calbet, Jose A. L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Food composition of the diet in relation to changes in waist circumference adjusted for body mass index</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2011-08-17</date><risdate>2011</risdate><volume>6</volume><issue>8</issue><spage>e23384</spage><epage>e23384</epage><pages>e23384-e23384</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Dietary factors such as low energy density and low glycemic index were associated with a lower gain in abdominal adiposity. A better understanding of which food groups/items contribute to these associations is necessary.
To ascertain the association of food groups/items consumption on prospective annual changes in "waist circumference for a given BMI" (WC(BMI)), a proxy for abdominal adiposity.
We analyzed data from 48,631 men and women from 5 countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Anthropometric measurements were obtained at baseline and after a median follow-up time of 5.5 years. WC(BMI) was defined as the residuals of waist circumference regressed on BMI, and annual change in WC(BMI) (ΔWC(BMI), cm/y) was defined as the difference between residuals at follow-up and baseline, divided by follow-up time. The association between food groups/items and ΔWC(BMI) was modelled using centre-specific adjusted linear regression, and random-effects meta-analyses to obtain pooled estimates.
Higher fruit and dairy products consumption was associated with a lower gain in WC(BMI) whereas the consumption of white bread, processed meat, margarine, and soft drinks was positively associated with ΔWC(BMI). When these six food groups/items were analyzed in combination using a summary score, those in the highest quartile of the score--indicating a more favourable dietary pattern--showed a ΔWC(BMI) of -0.11 (95% CI -0.09 to -0.14) cm/y compared to those in the lowest quartile.
A dietary pattern high in fruit and dairy and low in white bread, processed meat, margarine, and soft drinks may help to prevent abdominal fat accumulation.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>21858094</pmid><doi>10.1371/journal.pone.0023384</doi><tpages>e23384</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2011-08, Vol.6 (8), p.e23384-e23384 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1308203018 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Abdominal Fat - metabolism Adipose tissue Adiposity - physiology Adult Aged Analysis Anthropometry Beverages Biology Blood pressure Body Composition - physiology Body mass Body Mass Index Body measurements Body size Bread calcium intake Cancer Cancer research Cardiovascular disease Chronic illnesses clinical-trial Dairy Products Data processing Denmark Diet eating plan Epidemiology Ethics european men Female Flux density Food Food composition Food consumption Food groups Fruit Fruits Germany Glycemic Index Humans Italy Linear Models Male Margarine Meat Medicine Middle Aged middle-aged men Netherlands Nutrition Preventive medicine Regression analysis Soft drinks Studies subsequent changes United Kingdom visceral fat Waist Circumference - physiology weight-loss women Womens health |
title | Food composition of the diet in relation to changes in waist circumference adjusted for body mass index |
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