TY - JOUR
T1 - Food composition of the diet in relation to changes in waist circumference adjusted for body mass index
AU - Romaguera, Dora
AU - Ängquist, Lars
AU - Du, Huaidong
AU - Jakobsen, Marianne Uhre
AU - Forouhi, Nita G
AU - Halkjær, Jytte
AU - Feskens, Edith J M
AU - van der, Daphne L
AU - Masala, Giovanna
AU - Steffen, Annika
AU - Palli, Domenico
AU - Wareham, Nicholas J
AU - Overvad, Kim
AU - Tjønneland, Anne
AU - Boeing, Heiner
AU - Riboli, Elio
AU - Sørensen, Thorkild I
PY - 2011
Y1 - 2011
N2 - Background: 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. Objective: 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. Design: 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. Results: 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. Conclusion: 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.
AB - Background: 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. Objective: 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. Design: 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. Results: 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. Conclusion: 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.
U2 - 10.1371/journal.pone.0023384
DO - 10.1371/journal.pone.0023384
M3 - Journal article
C2 - 21858094
SN - 1932-6203
VL - 6
SP - e23384
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 8
ER -