Ultra-processed food consumption and risk of obesity: a prospective cohort study of UK Biobank
Rauber F, Chang K, Vamos EP, da Costa Louzada ML, Monteiro CA, Millett C, Levy RB
European journal of nutrition · 192 citas
Cómo se estudió
- Diseño
- Estudio de cohortes (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 independiente
- Universidad u hospital
- Imperial College London
- Gobierno
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- Gobierno
- Medical Research Council
- Subvenciones
- Fundação de Amparo à Pesquisa do Estado de São Paulo (2018/26660-0); Fundação de Amparo à Pesquisa do Estado de São Paulo (15/14900-9); Medical Research Council (MC_PC_17228); Fundação de Amparo à Pesquisa do Estado de São Paulo (2016/14302-7); Fundação de Amparo à Pesquisa do Estado de São Paulo (2018/19820-1)
Según 3 financiadores declarados y la declaración de financiación del texto completo.
Publicación
- Publicado
- 2020-10-18 · Eur J Nutr · vol. 60 · número 4 · págs. 2169–2180
- Editorial
- Springer Science+Business Media
- Citado
- 307 citas · más que el 100% de estudios similares · 27.9× el promedio de su campo
- Impacto
- Entre el 10 % más citado de su campo
- Referencias
- 48 trabajos
- Acceso
- Acceso abierto (revista híbrida) · CC-BY
- Áreas de investigación
- Consumer Attitudes and Food Labeling · Health, Technology, Consumer Behavior · Nutrition, Genetics, and Disease
- Palabras clave
- Medicine, Waist, Body mass index, Obesity, Hazard ratio, Quartile, Abdominal obesity, Proportional hazards model, Prospective cohort study, Cohort, Cohort study, Environmental health, Demography, Internal medicine, Confidence interval
- MeSH
- humans, obesity, body mass index, diet, prospective studies, adult, biological specimen banks, female, male, fast foods, united kingdom
7 autores
- Fernanda Rauber🇧🇷🇬🇧 · autor de correspondenciaUniversidade de São Paulo; Public Health England; Imperial College London
- Kiara Chang🇬🇧Imperial College London
- Eszter Panna Vamos🇬🇧Imperial College London
- Maria Laura da Costa Louzada🇧🇷Universidade de São Paulo
- Carlos Augusto Monteiro🇧🇷Universidade de São Paulo
- Christopher J. Millett🇧🇷🇬🇧Universidade de São Paulo; Imperial College London
- Renata Bertazzi Levy🇧🇷Universidade de São Paulo
Resumen
El texto original del estudio, en el idioma en que se publicó.
Objective
The objective of this study was to examine the associations between ultra-processed food consumption and risk of obesity among UK adults.
Methods
Participants aged 40-69 years at recruitment in the UK Biobank (2006-2019) with dietary intakes collected using 24-h recall and repeated measures of adiposity--body mass index (BMI), waist circumference (WC) and percentage of body fat (% BF)--were included (N = 22,659; median follow-up: 5 years). Ultra-processed foods were identified using the NOVA classification and their consumption was expressed as a percentage of total energy intake. Multivariable Cox proportional hazards regression models were used to estimate hazard ratios (HR) of several indicators of obesity according to ultra-processed food consumption. Models were adjusted for sociodemographic and lifestyle characteristics.
Results
947 incident cases of overall obesity (BMI ≥ 30 kg/m2) and 1900 incident cases of abdominal obesity (men: WC ≥ 102 cm, women: WC ≥ 88 cm) were identified during follow-up. Participants in the highest quartile of ultra-processed food consumption had significantly higher risk of developing overall obesity (HR 1.79; 95% CI 1.06─3.03) and abdominal obesity (HR 1.30; 95% CI 1.14─1.48). They had higher risk of experiencing a ≥ 5% increase in BMI (HR 1.31; 95% CI 1.20─1.43), WC (HR 1.35; 95% CI 1.25─1.45) and %BF (HR 1.14; 95% CI 1.03─1.25), than those in the lowest quartile of consumption.
Conclusions
Our findings provide evidence that higher consumption of ultra-processed food is strongly associated with a higher risk of multiple indicators of obesity in the UK adult population. Policy makers should consider actions that promote consumption of fresh or minimally processed foods and reduce consumption of ultra-processed foods.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY).
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