Literature DB >> 19251447

Association of macronutrient intake patterns with being overweight in a population-based random sample of men in France.

N Ahluwalia1, J Ferrières, J Dallongeville, C Simon, P Ducimetière, P Amouyel, D Arveiler, J-B Ruidavets.   

Abstract

AIM: Diet is considered an important modifiable factor in the overweight. The role of macronutrients in obesity has been examined in general in selected populations, but the results of these studies are mixed, depending on the potential confounders and adjustments for other macronutrients. For this reason, we examined the association between macronutrient intake patterns and being overweight in a population-based representative sample of middle-aged (55.1+/-6.1 years) men (n=966), using various adjustment modalities.
METHODS: The study subjects kept 3-day food-intake records, and the standard cardiovascular risk factors were assessed. Weight, height and waist circumference (WC) were also measured.
RESULTS: Carbohydrate intake was negatively associated and fat intake was positively associated with body mass index (BMI) and WC in regression models adjusted for energy intake and other factors, including age, smoking and physical activity. However, with mutual adjustments for other energy-yielding nutrients, the negative association of carbohydrate intake with WC remained significant, whereas the associations between fat intake and measures of obesity did not. Adjusted odds ratios (95% confidence interval) comparing the highest and lowest quartiles of carbohydrate intake were 0.50 (0.25-0.97) for obesity (BMI>29.9) and 0.41 (0.23-0.73) for abdominal obesity (WC>101.9 cm).
CONCLUSION: Consistent negative associations between carbohydrate intake and BMI and WC were seen in this random representative sample of the general male population. The associations between fat intake and these measures of being overweight were attenuated on adjusting for carbohydrate intake. Thus, the balance of carbohydrate-to-fat intake is an important element in obesity in a general male population, and should be highlighted in dietary guidelines.

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Year:  2009        PMID: 19251447     DOI: 10.1016/j.diabet.2008.09.006

Source DB:  PubMed          Journal:  Diabetes Metab        ISSN: 1262-3636            Impact factor:   6.041


  4 in total

1.  High-fat diet is associated with obesity-mediated insulin resistance and β-cell dysfunction in Mexican Americans.

Authors:  Mary Helen Black; Richard M Watanabe; Enrique Trigo; Miwa Takayanagi; Jean M Lawrence; Thomas A Buchanan; Anny H Xiang
Journal:  J Nutr       Date:  2013-01-23       Impact factor: 4.798

Review 2.  Does high-carbohydrate intake lead to increased risk of obesity? A systematic review and meta-analysis.

Authors:  Kurt Sartorius; Benn Sartorius; Thandinkosi E Madiba; Cristina Stefan
Journal:  BMJ Open       Date:  2018-02-08       Impact factor: 2.692

3.  Secular Trends in Energy and Macronutrient Intakes and Distribution among Adult Females (1991-2015): Results from the China Health and Nutrition Survey.

Authors:  Jian Zhao; Chang Su; Huijun Wang; Zhihong Wang; Yun Wang; Bing Zhang
Journal:  Nutrients       Date:  2018-01-24       Impact factor: 5.717

4.  Metabolic markers in Ossabaw pigs fed high fat diets enriched in regular or low α-linolenic acid soy oil.

Authors:  Ramesh B Potu; Hang Lu; Olayiwola Adeola; Kolapo M Ajuwon
Journal:  Nutr Metab (Lond)       Date:  2013-03-14       Impact factor: 4.169

  4 in total

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