Chocolate Consumption and Indicators of Adiposity in US Adults.
Por:
Smith L, Grabovac I, Jackson SE, Veronese N, Shang C, López-Sánchez GF, Schuch FB, Koyanagi A, Jacob L, Soysal P, Yang L and Zhu X
Publicada:
1 sep 2020
Ahead of Print:
15 feb 2020
Categoría:
Medicine (miscellaneous)
Resumen:
PURPOSE: The purpose of this research is to investigate the association between consumption of chocolate and measures of adiposity in a large, representative sample of US adults. METHODS: Cross-sectional data from 13,626 nondiabetic adults (=20 years) participating in the National Health and Nutrition Examination Survey study were aggregated using 5 study cycles from 2005-2006 through 2013-2014. Chocolate consumption was determined based on 2 24-hour dietary recalls. Body mass index (BMI) and waist circumference were objectively measured. We used multivariable linear regression to test associations of 1) any chocolate consumption (yes/no), and 2) the total amount of chocolate consumption (grams/day, in quartiles) with BMI and waist circumference. Models controlled for sociodemographic, lifestyle, health-related, and dietary covariates. RESULTS: Overall, 11.1% of the population self-reported any chocolate consumption in either of their 2 24-hour dietary recalls. Adjusted linear regression models showed that individuals who reported any chocolate consumption had 0.92 kg/m(2) (95% confidence interval, 0.53-1.32) lower BMI, and 2.07 cm (95% confidence intervals, 1.22-2.92) lower waist circumference than those who reported no chocolate consumption. In models examining the association of amount of chocolate consumption and weight status, compared with those who did not consume chocolate, lower BMI (P for trend = .003) and waist circumference (P for trend = .001) were observed in the first, second, and third quartiles of total chocolate consumption. CONCLUSIONS: In this representative sample of US adults, chocolate consumption was associated with lower markers of adiposity. Further research using a longitudinal or experimental design is needed to establish the direction of causation.
Filiaciones:
Smith L:
The Cambridge Centre for Sport and Exercise Science, Anglia Ruskin University, Cambridge, UK
Grabovac I:
Department of Social and Preventive Medicine, Center for Public Health, Medical University of Vienna, Austria
Jackson SE:
Department of Behavioural Science and Health, University College London, UK
Veronese N:
National Research Council, Neuroscience Institute, Aging Branch, Padova, Italy
Shang C:
Oklahoma Tobacco Research Center, Stephenson Cancer Center, Oklahoma City
López-Sánchez GF:
Faculty of Sport Sciences, University of Murcia, Spain
Schuch FB:
Department of Sports Methods and Techniques, Federal University of Santa Maria, Santa Maria, Brazil
Koyanagi A:
Research and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Barcelona, Spain
ICREA, Pg. Lluís Companys 23, Barcelona, Spain
Jacob L:
Faculty of Medicine, University of Versailles Saint-Quentin-en-Yvelines, Montigny-le-Bretonneux, France
Soysal P:
Department of Geriatric Medicine, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkey
Yang L:
Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, Canada
Zhu X:
Department of Medicine, Vanderbilt University Medical Center, Nashville, Tenn
Green Submitted, Green Accepted
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