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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Veröffentlicht in:PloS one 2011-08, Vol.6 (8), p.e23384-e23384
Hauptverfasser: 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
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container_issue 8
container_start_page e23384
container_title PloS one
container_volume 6
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
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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 - 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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>
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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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