Evidence map›Paper›PMID 33279939›Full record

ArticleNutrition & diabetes2020

Ultra-processed food consumption and obesity in the Australian adult population.

Priscila Pereira Machado, Eurídice Martinez Steele, Renata Bertazzi Levy, Maria Laura da Costa Louzada, Anna Rangan, Julie Woods, Timothy Gill, Gyorgy Scrinis, Carlos Augusto Monteiro

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrition & diabetes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 6 pooled it
16.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 6 syntheses or guidelines pooled it, 177 citations in OpenAlex.

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30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Priscila Pereira MachadoInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3220, Australia.ORCID 0000-0003-4607-5094
Eurídice Martinez SteeleCenter for Epidemiological Research in Nutrition and Health, University of Sao Paulo, Av. Dr. Arnaldo, 715, Sao Paulo, 01246-904, Brazil.
Renata Bertazzi LevyCenter for Epidemiological Research in Nutrition and Health, University of Sao Paulo, Av. Dr. Arnaldo, 715, Sao Paulo, 01246-904, Brazil.
Maria Laura da Costa LouzadaCenter for Epidemiological Research in Nutrition and Health, University of Sao Paulo, Av. Dr. Arnaldo, 715, Sao Paulo, 01246-904, Brazil.
Anna RanganSchool of Life and Environmental Sciences, Charles Perkins Centre, The University of Sydney, Camperdown, NSW, 2050, Australia.ORCID 0000-0003-1815-844X
Julie WoodsInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3220, Australia.
Timothy GillBoden Institute of Obesity, Nutrition, Exercise and Eating Disorders, Charles Perkins Centre, The University of Sydney, Camperdown, NSW, 2050, Australia.
Gyorgy ScrinisSchool of Agriculture and Food, The University of Melbourne, Parkville, Melbourne, VIC, 3010, Australia.
Carlos Augusto MonteiroCenter for Epidemiological Research in Nutrition and Health, University of Sao Paulo, Av. Dr. Arnaldo, 715, Sao Paulo, 01246-904, Brazil. carlosam@usp.br.ORCID 0000-0002-3777-1533
Universidade de São Paulo · BRDeakin University · AUThe University of Sydney · AUThe University of Melbourne · AU

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo (São Paulo Research Foundation) 2016/13168-5Fundação de Amparo à Pesquisa do Estado de São Paulo (São Paulo Research Foundation) 2017/24601-4
6 · The paper itself

Abstract

backgroundRapid simultaneous increases in ultra-processed food sales and obesity prevalence have been observed worldwide, including in Australia. Consumption of ultra-processed foods by the Australian population was previously shown to be systematically associated with increased risk of intakes of nutrients outside levels recommended for the prevention of obesity. This study aims to explore the association between ultra-processed food consumption and obesity among the Australian adult population and stratifying by age group, sex and physical activity level.

methodsA cross-sectional analysis of anthropometric and dietary data from 7411 Australians aged ≥20 years from the National Nutrition and Physical Activity Survey 2011-2012 was performed. Food consumption was evaluated through 24-h recall. The NOVA system was used to identify ultra-processed foods, i.e. industrial formulations manufactured from substances derived from foods and typically added of flavours, colours and other cosmetic additives, such as soft drinks, confectionery, sweet or savoury packaged snacks, microwaveable frozen meals and fast food dishes. Measured weight, height and waist circumference (WC) data were used to calculate the body mass index (BMI) and diagnosis of obesity and abdominal obesity. Regression models were used to evaluate the association of dietary share of ultra-processed foods (quintiles) and obesity indicators, adjusting for socio-demographic variables, physical activity and smoking.

resultsSignificant (P-trend ≤ 0.001) direct dose-response associations between the dietary share of ultra-processed foods and indicators of obesity were found after adjustment. In the multivariable regression analysis, those in the highest quintile of ultra-processed food consumption had significantly higher BMI (0.97 kg/m

conclusionThe findings add to the growing evidence that ultra-processed food consumption is associated with obesity and support the potential role of ultra-processed foods in contributing to obesity in Australia.

Indexed as

Food HandlingAdultAgedAustraliaBody Mass IndexCross-Sectional StudiesDietEnergy IntakeExerciseFast FoodsFeeding BehaviorFemaleHumansMaleMiddle AgedNutrition Surveys

Identifiers

PMID33279939
PMCPMC7719194
OpenAlexW3110942603

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.