Literature DB >> 32357191

Ultra-processed food consumption and indicators of obesity in the United Kingdom population (2008-2016).

Fernanda Rauber1,2, Eurídice Martínez Steele1,2, Maria Laura da Costa Louzada1,2, Christopher Millett1,3, Carlos Augusto Monteiro1,2, Renata Bertazzi Levy1,4.   

Abstract

We examined the association between the consumption of ultra-processed foods and adiposity in a nationally representative sample of the UK adult population. We studied 6,143 participants (19 to 96 years, 51.6% female) sampled by the UK National Diet and Nutrition Survey (2008-16). Food items reported in four-day food diary were classified according to the NOVA system. Multiple linear and logistic regressions were used to evaluate associations between the dietary contribution of ultra-processed foods (sex-specific quartile and continuous) and Body Mass Index (BMI), Waist Circumference (WC) and obesity (BMI>30kg/m2) and abdominal obesity (men: WC≥102cm, women: WC≥88cm) status. Models were adjusted for sociodemographic and lifestyle characteristics. In multivariable analyses, the highest consumption of ultra-processed food was associated with 1.66 kg/m2 higher BMI (95%CI 0.96-2.36), 3.56 cm greater WC (95%CI 1.79-5.33) and 90% higher odds for being obese (OR = 1.90, 95%CI 1.39-2.61), compared with the lowest consumption. A 10% increase in the consumption of ultra-processed foods was associated with an increase of 0.38 kg/m2 in BMI (95%CI 0.20-0.55), 0.87 cm in WC (95%CI 0.40-1.33) and 18% higher odds of being obese (OR = 1.18, 95%CI 1.08-1.28). The consumption of ultra-processed food was associated with an increase in BMI, WC and prevalence of obesity in both sexes. A dose response relationship was observed in both sexes, with a 10% increase in the consumption of ultra-processed foods being associated with a 18% increase in the prevalence of obesity in men and a 17% increase in women. Higher consumption of ultra-processed food is associated with greater adiposity in the UK adult population. Policy makers should consider actions that promote consumption of unprocessed or minimally processed foods and reduce consumption of ultra-processed foods.

Entities:  

Year:  2020        PMID: 32357191     DOI: 10.1371/journal.pone.0232676

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  28 in total

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Journal:  Nutrients       Date:  2020-06-30       Impact factor: 5.717

3.  Good Deeds and Cheap Marketing: The Food Industry in the Time of COVID-19.

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4.  Assessing the Cost-Effectiveness of Interventions That Simultaneously Prevent High Body Mass Index and Eating Disorders.

Authors:  Long Khanh-Dao Le; Phillipa Hay; Jaithri Ananthapavan; Yong Yi Lee; Cathrine Mihalopoulos
Journal:  Nutrients       Date:  2020-07-31       Impact factor: 5.717

5.  A Gluten-Free Meal Produces a Lower Postprandial Thermogenic Response Compared to an Iso-Energetic/Macronutrient Whole Food or Processed Food Meal in Young Women: A Single-Blind Randomized Cross-Over Trial.

Authors:  Brittney Dioneda; Margaret Healy; Maia Paul; Caitlin Sheridan; Alex E Mohr; Paul J Arciero
Journal:  Nutrients       Date:  2020-07-09       Impact factor: 5.717

6.  Energy contribution of NOVA food groups and the nutritional profile of the Brazilian rural workers' diets.

Authors:  Monica Cattafesta; Glenda Blaser Petarli; Eliana Zandonade; Olívia Maria de Paula Alves Bezerra; Sandra Marlene Ribeiro de Abreu; Luciane Bresciani Salaroli
Journal:  PLoS One       Date:  2020-10-28       Impact factor: 3.240

7.  Supermarket Circulars Promoting the Sales of 'Healthy' Foods: Analysis Based on Degree of Processing.

Authors:  Alyne Michelle Botelho; Anice Milbratz de Camargo; Kharla Janinny Medeiros; Gabriella Beatriz Irmão; Moira Dean; Giovanna Medeiros Rataichesck Fiates
Journal:  Nutrients       Date:  2020-09-21       Impact factor: 5.717

8.  Consumption of ultra-processed foods and health status: a systematic review and meta-analysis.

Authors:  G Pagliai; M Dinu; M P Madarena; M Bonaccio; L Iacoviello; F Sofi
Journal:  Br J Nutr       Date:  2020-08-14       Impact factor: 3.718

Review 9.  Obesity and the increased risk for COVID-19: mechanisms and nutritional management.

Authors:  Ana Heloneida de Araújo Morais; Thais Sousa Passos; Sancha Helena de Lima Vale; Juliana Kelly da Silva Maia; Bruna Leal Lima Maciel
Journal:  Nutr Res Rev       Date:  2020-11-13       Impact factor: 8.146

10.  Effect of ultraprocessed food intake on cardiometabolic risk is mediated by diet quality: a cross-sectional study.

Authors:  Jennifer Griffin; Anwar Albaloul; Alexandra Kopytek; Paul Elliott; Gary Frost
Journal:  BMJ Nutr Prev Health       Date:  2021-04-07
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