Mohsen Mazidi1,2, Andre Pascal Kengne3. 1. Key State Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China. 2. Institute of Genetics and Developmental Biology, International College, University of Chinese Academy of Science, Beijing, 100101, China. 3. Non-Communicable Disease Research Unit, South African Medical Research Council and University of Cape Town, Cape Town, South Africa.
Abstract
BACKGROUND: Despite growing evidence on the associations between nutrient patterns and obesity, very few studies have examined the association between patterns of nutrient intake and obesity. OBJECTIVE: To identify major nutrient patterns in U.S. adults and investigate their association with general and central obesity. METHODS: National Health and Nutrition Examination Survey (NHANES) participants from 2005 to 2012 were included. General obesity was defined as body mass index ≥30 kg/m2, and central obesity as a waist circumference >102 cm for men and >88 cm for women. Intakes of 60 nutrients were calculated. Factor analysis was applied to derive the major nutrient patterns. Statistical analyses accounted for the survey design and sample weights. RESULTS: Overall 24,182 eligible individuals including 8155 with general obesity and 11730 with central obesity were included. Three nutrient patterns explaining 50.8% of the variance in dietary nutrients consumption, were identified. The odds of all types of obesity increased across quarters of the first nutrient patterns (mostly representative of saturated/mono-unsaturated fatty acids), such that the fourth quarter was associated with odds ratio of 1.31 (95%CI: 1.13-1.51) for general obesity and 1.47 (95%CI: 1.30-1.66) for central obesity, relative to the first quarter. The second nutrient patterns (mostly representative of micro nutrients and vitamins) was associated with lower odds of general [0.32 (95%CI: 0.61-0.77]) or central obesity [0.31 (95%CI: 0.62-0.78). CONCLUSION: Nutrient patterns may have deleterious or protective effects on the risk of general and central obesity, with implication for food-based strategies to prevent and control obesity. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.
BACKGROUND: Despite growing evidence on the associations between nutrient patterns and obesity, very few studies have examined the association between patterns of nutrient intake and obesity. OBJECTIVE: To identify major nutrient patterns in U.S. adults and investigate their association with general and central obesity. METHODS: National Health and Nutrition Examination Survey (NHANES) participants from 2005 to 2012 were included. General obesity was defined as body mass index ≥30 kg/m2, and central obesity as a waist circumference >102 cm for men and >88 cm for women. Intakes of 60 nutrients were calculated. Factor analysis was applied to derive the major nutrient patterns. Statistical analyses accounted for the survey design and sample weights. RESULTS: Overall 24,182 eligible individuals including 8155 with general obesity and 11730 with central obesity were included. Three nutrient patterns explaining 50.8% of the variance in dietary nutrients consumption, were identified. The odds of all types of obesity increased across quarters of the first nutrient patterns (mostly representative of saturated/mono-unsaturated fatty acids), such that the fourth quarter was associated with odds ratio of 1.31 (95%CI: 1.13-1.51) for general obesity and 1.47 (95%CI: 1.30-1.66) for central obesity, relative to the first quarter. The second nutrient patterns (mostly representative of micro nutrients and vitamins) was associated with lower odds of general [0.32 (95%CI: 0.61-0.77]) or central obesity [0.31 (95%CI: 0.62-0.78). CONCLUSION: Nutrient patterns may have deleterious or protective effects on the risk of general and central obesity, with implication for food-based strategies to prevent and control obesity. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.
Entities:
Keywords:
Central Obesity; Factor Analysis; General Obesity; Nutrient Patterns
Authors: Mohsen Mazidi; Andre Pascal Kengne; Dimitri P Mikhailidis; Peter P Toth; Kausik K Ray; Maciej Banach Journal: Lipids Health Dis Date: 2017-10-04 Impact factor: 3.876
Authors: Mohsen Mazidi; Hong-Kai Gao; Nitin Shivappa; Michael D Wirth; James R Hebert; Andre Pascal Kengne Journal: Lipids Health Dis Date: 2017-08-04 Impact factor: 3.876
Authors: Antonella Agodi; Andrea Maugeri; Sarka Kunzova; Ondrej Sochor; Hana Bauerova; Nikola Kiacova; Martina Barchitta; Manlio Vinciguerra Journal: Nutrients Date: 2018-07-13 Impact factor: 5.717