Ultra-processed food consumption and excess weight among US adults
Juul F, Martinez-Steele E, Parekh N, Monteiro CA, Chang VW
The British journal of nutrition · 294 citas
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Cómo se estudió
- Diseño
- Estudio transversal (indexado por PubMed)
- Estudiado en
- Personas
- Resultado principal
- Marcadores de salud y funcionamiento
- Consumo medido con
- Diarios o recordatorios de alimentación
Quién lo pagó
- Financiación
- Financiación no declarada
Publicación
- Publicado
- 2018-05-05 · Br J Nutr · vol. 120 · número 1 · págs. 90–100
- Editorial
- Cambridge University Press
- Citado
- 488 citas · más que el 100% de estudios similares · 41.6× el promedio de su campo
- Impacto
- Entre el 10 % más citado de su campo
- Referencias
- 38 trabajos
- Acceso
- Lectura gratuita
- Áreas de investigación
- Consumer Attitudes and Food Labeling · Obesity, Physical Activity, Diet · Nutritional Studies and Diet
- Palabras clave
- Waist, Medicine, Obesity, Abdominal obesity, Anthropometry, Odds ratio, Body mass index, National Health and Nutrition Examination Survey, Logistic regression, Cross-sectional study, Overweight, Odds, Demography, Environmental health, Internal medicine, Population
- MeSH
- humans, obesity, body weight, anthropometry, body mass index, diet, nutrition surveys, prevalence, multivariate analysis, cross-sectional studies, feeding behavior, energy intake, adult, middle aged, united states, female, overweight, young adult, obesity, abdominal, fast foods
5 autores
- Filippa Juul🇺🇸New York University
- Eurídice Martínez Steele🇧🇷Universidade de São Paulo
- Niyati Parekh🇺🇸New York University
- Carlos Augusto Monteiro🇧🇷Universidade de São Paulo
- Virginia W. Chang🇺🇸 · autor de correspondenciaNew York University
Resumen
El texto original del estudio, en el idioma en que se publicó.
Ultra-processed foods provide 58 % of energy intake and 89 % of added sugars in the American diet. Nevertheless, the association between ultra-processed foods and excess weight has not been investigated in a US sample. The present investigation therefore aims to examine the association between ultra-processed foods and excess weight in a nationally representative sample of US adults. We performed a cross-sectional analysis of anthropometric and dietary data from 15 977 adults (20-64 years) participating in the National Health and Nutrition Examination Survey 2005-2014. Dietary data were collected by 24-h recall. Height, weight and waist circumference (WC) were measured. Foods were classified as ultra-processed/non-ultra-processed according to the NOVA classification. Multivariable linear and logistic regression was used to evaluate the association between ultra-processed food consumption (% energy) and BMI, WC and odds of BMI≥25 kg/m2, BMI≥30 kg/m2 and abdominal obesity (men: WC≥102 cm, women: WC≥88 cm). Prevalence of BMI≥25 kg/m2, BMI≥30 kg/m2 and abdominal obesity was 69·2, 36·1 and 53·0 %, respectively. Consuming ≥74·2 v. ≤36·5 % of total energy from ultra-processed foods was associated with 1·61 units higher BMI (95 % CI 1·11, 2·10), 4·07 cm greater WC (95 % CI 2·94, 5·19) and 48, 53 and 62 % higher odds of BMI≥25 kg/m2, BMI≥30 kg/m2 and abdominal obesity, respectively (OR 1·48; 95 % CI 1·25, 1·76; OR 1·53; 95 % CI 1·29, 1·81; OR 1·62; 95 % CI 1·39, 1·89, respectively; P for trend<0·001 for all). A significant interaction between being female and ultra-processed food consumption was found for BMI (F 4,79=4·89, P=0·002), WC (F 4,79=3·71, P=0·008) and BMI≥25 kg/m2 (F 4,79=5·35, P<0·001). As the first study in a US population, our findings support that higher consumption of ultra-processed food is associated with excess weight, and that the association is more pronounced among women.
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