How to evaluate Ultra-processed Food Intake in pediatrics? UPF Score: an easy alternative DOI Creative Commons

Laura Fernanda Rosales-Arreola,

Citlali Ayala-Galván,

Estefany Villa-Aguilar

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 14, 2024

Abstract Background The rising intake of ultra-processed foods (UPFs) among children and adolescents poses challenges due to the lack precise accessible tools quantify such intake. This complicates understanding its effects on dietary quality hampers design effective preventive interventions across diverse socioeconomic geographic contexts. Objective: paper aims determine relationship between UPF score characteristics. Methods cross-sectional study involved 353 participants aged 3 17. methods included (1) a three-day food record; (2) an evaluation five groups; (3) categorization frequency (0, 1, 2, or up times weekly); (4) scoring by cumulative Principal component analysis regression models were utilized assess diet associations with score. Results Higher groups showed increased energy, fats, sodium (p < 0.01); decreased fiber = 0.03), vegetables, fruits, cereals 0.05); higher sugar reduced vitamins A C 0.05). Four principal components, representing over 65% sample variability, identified two healthy less patterns. Linear indicated at lower scores, declining scores. Conclusions represents useful tool for efficiently swiftly assessing characteristics in pediatric population.

Language: Английский

Ultra-Processed Food Intakes and Health Outcomes in Adults Older Than 60 Years: A Systematic Review DOI Creative Commons
Fay A Shahatah, Tom R. Hill, Andrea Fairley

et al.

Nutrition Reviews, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Abstract Context Relationships between ultraprocessed food (UPF) intakes and health have been well described in adults, but evidence of these relationships older adults is rather limited. Demographic shifts aging emphasize the importance understanding role diet maintaining during later life. Objective The aim this systematic review was to identify outcomes associated with UPF consumption those aged ≥60 years. Data Sources Medline, Web Science, Scopus, Embase databases were searched from inception until June 2023, using search terms representing any outcome. Observational studies restricted individuals years Nova classification included. Articles screened independently by 2 researchers PECOS inclusion criteria. Extraction Two-thirds present prospective cohort (n = 4) rest cross-sectional 2). number participants ranged 652 2713 across 6 studies. mean age 67 73 Analysis In studies, highest incident frailty, dyslipidemia, renal function decline, abdominal obesity. For intake negative similar young middle-aged cohorts, addition nutritional frailty worse cognitive performance. Conclusions Currently, limited how high could be for influences ability inform policy practice recommendations. More research required owing very specifically adults. Systematic Review Registration PROSPERO registration no. CRD42023442783.

Language: Английский

Citations

0
Escore de Consumo de Alimentos Ultraprocessados entre Mulheres Brasileiras Sobreviventes do Câncer: Pesquisa Nacional de Saúde, Brasil, 2019 DOI Creative Commons
Sara Maria Moreira Lima Verde, Ítalo Wesley Oliveira Aguiar, Soraia Pinheiro Machado Arruda

et al.

Revista Brasileira de Cancerologia, Journal Year: 2025, Volume and Issue: 71(1)

Published: Feb. 3, 2025

Introdução: O consumo de alimentos ultraprocessados tem aumentado na população brasileira nos últimos anos e está associado ao desenvolvimento agravamento doenças crônicas como o câncer. Objetivo: Avaliar por mulheres brasileiras sobreviventes dos cânceres mama, ovário colo do útero. Método: Estudo transversal com informações secundárias da Pesquisa Nacional Saúde (2019), um inquérito saúde em geral, que investigou aspectos sociodemográficos, clínicos alimentares, onde foram coletadas adultas diagnósticos autorreferidos câncer foi avaliado pelo escore NOVA, baseado frequência tipos ultraprocessados. A associação entre diagnóstico explorada usando modelos regressão Poisson variação robusta, software Stata/MP 17.0. Resultados: prevalência cinco ou mais 7,8% as histórico câncer, sendo alta menos 40 anos. variou conforme índice massa corporal tipo maiores prevalências obesidade útero (RP=6,37; IC95%:1,46;27,68). Conclusão: Pacientes consomem quantidade expressiva,

Citations

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Decrypting the messages in the matrix: The proceedings of a symposium on dairy food matrix science and public health opportunities DOI Creative Commons
Kevin Comerford, Allison L. Unger, Christopher J. Cifelli

et al.

Critical Reviews in Food Science and Nutrition, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: March 3, 2025

Although food matrix research is still in its infancy, there an emerging understanding of the important role on human nutrition and physiology, as well for public health. This has largely been propelled forward by involving different milk dairy matrices which revealed that addition to their distinct array nutrients bioactive compounds, foods also contain complex microstructures act nutrient delivery systems set them apart from other groups. Due these properties, may be uniquely positioned help Americans meet many health needs. The aim this manuscript describe activities findings a National Dairy Council-sponsored symposium focused connecting science with opportunities improving proceedings paper summarizes communicates presentations panel discussions, key insights, next steps leverage evidence (e.g., milk, yogurt, cheese) develop science-backed strategies support equity.

Language: Английский

Citations

0
How to evaluate ultra-processed food intake in pediatrics? UPF score: an easy alternative DOI Creative Commons

Laura Fernanda Rosales-Arreola,

Citlali Ayala-Galván,

Estefany Villa-Aguilar

et al.

BMC Nutrition, Journal Year: 2025, Volume and Issue: 11(1)

Published: April 15, 2025

The rising intake of ultra-processed foods (UPFs) among the pediatric population poses challenges due to lack precise and easily accessible tools quantify such intake. This complicates understanding its effects on dietary quality hampers design interventions prevent negative impact UPF consumption health. Given these challenges, it is essential establish reliable methods assess effect diet. study aims determine relationship between score characteristics. cross-sectional involved 353 participants aged 3 17. included (1) collection a three-day food record; (2) an evaluation across five groups; (3) categorization frequency (0, 1, 2, or up times weekly); (4) scoring by cumulative Principal component analysis regression models were utilized diet associations with score. Higher groups associated increased energy, fats, sodium (p < 0.01); decreased fiber = 0.03), vegetables, fruits, cereals 0.05); higher sugar reduced vitamins A C 0.05). Four principal components, representing over 65% sample variability, identified two healthy less patterns. Linear indicated at lower scores, declining scores. represents useful tool for assessing characteristics in populations.

Language: Английский

Citations

0
How to evaluate Ultra-processed Food Intake in pediatrics? UPF Score: an easy alternative DOI Creative Commons

Laura Fernanda Rosales-Arreola,

Citlali Ayala-Galván,

Estefany Villa-Aguilar

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 14, 2024

Abstract Background The rising intake of ultra-processed foods (UPFs) among children and adolescents poses challenges due to the lack precise accessible tools quantify such intake. This complicates understanding its effects on dietary quality hampers design effective preventive interventions across diverse socioeconomic geographic contexts. Objective: paper aims determine relationship between UPF score characteristics. Methods cross-sectional study involved 353 participants aged 3 17. methods included (1) a three-day food record; (2) an evaluation five groups; (3) categorization frequency (0, 1, 2, or up times weekly); (4) scoring by cumulative Principal component analysis regression models were utilized assess diet associations with score. Results Higher groups showed increased energy, fats, sodium (p < 0.01); decreased fiber = 0.03), vegetables, fruits, cereals 0.05); higher sugar reduced vitamins A C 0.05). Four principal components, representing over 65% sample variability, identified two healthy less patterns. Linear indicated at lower scores, declining scores. Conclusions represents useful tool for efficiently swiftly assessing characteristics in pediatric population.

Language: Английский

Citations

0