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http://dx.doi.org/10.2215/CJN.0000000686 | DOI Listing |
Clin J Am Soc Nephrol
March 2025
American Association of Kidney Patients, Tampa, Florida.
Hum Brain Mapp
March 2025
National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
Self-reported physical activity is associated with lower brain food cue responsiveness in reward-related regions, but relationships utilizing objective physical activity measurement tools have not been explored. This cross-sectional study examined whether device-measured moderate-to-vigorous intensity physical activity and sedentary time are related to neural responses to visual food cues using functional magnetic resonance imaging. Fifty-one healthy adults (30 men, 21 women; mean ± SD: age 26 ± 6 years; body mass index 24.
View Article and Find Full Text PDFBMC Public Health
March 2025
MRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Background: Out-of-home (OOH) food tends to be energy-dense and nutrient-poor. In response, England implemented a mandatory calorie labelling policy in the OOH sector. We evaluated changes in consumer behaviours after the policy was implemented in April 2022.
View Article and Find Full Text PDFPLoS One
March 2025
Social Sciences Division, Universidad Iberoamericana, Ciudad de México, México.
The prevalence of obesity in Mexico has been rising dramatically from school age onward. The high consumption of ultra-processed food has been identified as a contributing factor. We explored the longitudinal association between household expenditure on ultra-processed foods and beverages (UPF) and changes in anthropometric indicators of obesity among Mexican children aged 5 to 10 years in 2002.
View Article and Find Full Text PDFInt J Public Health
March 2025
Department of Nutrition and Dietetics, Symbiosis School of Culinary Arts and Nutritional Sciences, Symbiosis International (Deemed) University, Pune, Maharashtra, India.
Objective: The study aims to analyse the eating patterns and consumption of ultra-processed food (UPFs) among individuals with and without diabetes.
Methods: A comparative cross-sectional study was conducted across Pune, India, with 100 individuals with type 2 diabetes (T2D) and 208 without diabetes. A detailed FFQ (Food Frequency Questionnaire) developed by NOVA-UPF Screener with 33 ultra-processed food items was used to evaluate the consumption patterns of UPF.
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