Ultra-Processed Food Availability and Noncommunicable Diseases: A Systematic Review.
Taissa Pereira de AraújoMilena Miranda de Moraes FerreiraVânia Pl MagalhãesCláudia AfonsoCristina SantosSara S P RodriguesPublished in: International journal of environmental research and public health (2021)
Ultra-processed food (UPF) can be harmful to the population's health. To establish associations between UPF and health outcomes, food consumption can be assessed using availability data, such as purchase lists or household budget surveys. The aim of this systematic review was to search studies that related UPF availability with noncommunicable diseases or their risk factors. PRISMA guidelines were used. Searches were performed in PubMed, EBSCO, Scopus and Web of Science in February 2021. The search strategy included terms related to exposure (UPF) and outcomes (noncommunicable diseases and their risk factors). Studies that assessed only food consumption at an individual level and did not present health outcomes were excluded. Two reviewers conducted the selection process, and a third helped when disagreement occurred. The Newcastle-Ottawa Scale was used to assess the studies' quality; 998 records were analyzed. All 11 eligible studies were ecological and assessed overweight and obesity as a health outcome, only one showed no positive association with UPF availability. Two studies included the prevalence of diabetes as an outcome, however no significant association was found with UPF availability. Studies relating UPF availability and health outcomes are focused on overweight and obesity. It is necessary to further explore the relationship between other health outcomes and UPF availability using purchase or sales data.
Keyphrases
- type diabetes
- risk factors
- case control
- systematic review
- human health
- cardiovascular disease
- public health
- healthcare
- mental health
- risk assessment
- high resolution
- meta analyses
- metabolic syndrome
- climate change
- mass spectrometry
- skeletal muscle
- artificial intelligence
- health information
- weight loss
- quality improvement
- data analysis