Cohort study2021Open access

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 citations

How it was studied

Design
Cohort study (indexed by PubMed)
Studied in
People
Main outcome
Health markers and function
Intake measured by
Food diaries or recalls

Who paid for it

Funding
Independent funding
University or hospital
Imperial College London
Government
Fundação de Amparo à Pesquisa do Estado de São Paulo
Government
Medical Research Council
Grants
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)

Based on 3 listed funder(s) and full-text disclosure statement.

Publication

Published
2020-10-18 · Eur J Nutr · vol. 60 · issue 4 · pp. 2169–2180
Publisher
Springer Science+Business Media
Cited
307 citations · more than 100% of similar papers · 27.9× the field average
Impact
Top 10% most cited in its field
References
48 works
Access
Open access (hybrid journal) · CC-BY
Research areas
Consumer Attitudes and Food Labeling · Health, Technology, Consumer Behavior · Nutrition, Genetics, and Disease
Keywords
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 authors

From BR, GB

  • Fernanda Rauber · correspondingUniversidade de São Paulo; Public Health England; Imperial College London
  • Kiara ChangImperial College London
  • Eszter Panna VamosImperial College London
  • Maria Laura da Costa LouzadaUniversidade de São Paulo
  • Carlos Augusto MonteiroUniversidade de São Paulo
  • Christopher J. MillettUniversidade de São Paulo; Imperial College London

Abstract

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.

Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY).

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