Ultra-processed food consumption and obesity in the Australian adult population.
Adult
Aged
Australia
/ epidemiology
Body Mass Index
Cross-Sectional Studies
Diet
/ adverse effects
Energy Intake
Exercise
Fast Foods
/ adverse effects
Feeding Behavior
Female
Food Handling
Humans
Male
Middle Aged
Nutrition Surveys
Nutritive Value
Obesity
/ epidemiology
Obesity, Abdominal
/ epidemiology
Risk Factors
Waist Circumference
Young Adult
Journal
Nutrition & diabetes
ISSN: 2044-4052
Titre abrégé: Nutr Diabetes
Pays: England
ID NLM: 101566341
Informations de publication
Date de publication:
05 12 2020
05 12 2020
Historique:
received:
01
03
2020
accepted:
22
07
2020
revised:
16
07
2020
entrez:
6
12
2020
pubmed:
7
12
2020
medline:
17
3
2021
Statut:
epublish
Résumé
Rapid 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. A 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. Significant (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 The 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.
Sections du résumé
BACKGROUND
Rapid 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.
METHODS
A 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.
RESULTS
Significant (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
CONCLUSION
The 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.
Identifiants
pubmed: 33279939
doi: 10.1038/s41387-020-00141-0
pii: 10.1038/s41387-020-00141-0
pmc: PMC7719194
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
39Subventions
Organisme : Fundação de Amparo à Pesquisa do Estado de São Paulo (São Paulo Research Foundation)
ID : 2016/13168-5
Pays : International
Organisme : Fundação de Amparo à Pesquisa do Estado de São Paulo (São Paulo Research Foundation)
ID : 2017/24601-4
Pays : International
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