Background: Focussing on appetitive traits associated with obesity, this study aimed to estimate the association between the fast-food environment and satiety responsiveness, enjoyment of food and food responsiveness.
Methods: We used data from the Generation R Study. We included 2008 children with repeated measurements at the age of 4-10 years old. Three eating behaviour subscales from the Child Eating Behaviour Questionnaire (CEBQ) were used as outcomes. Geographical Information System data were used to map individual-level exposure to fast-food outlets within 400 m from home. Random Effect Within Between (REWB) models were used to derive estimates. We tested for moderation of the associations with parental restriction at baseline using the parent-reported Child Feeding Questionnaire (CFQ).
Results: We did not find evidence of between-associations of fast-food exposure and eating behaviour subscales. Considering within-associations, an increase in absolute fast-food exposure was associated with a significant marginal increase in satiety responsiveness (β: 0.02 [95% confidence interval: 0.00-0.03]). No moderation by parental restriction was found.
Conclusions: In environments with ubiquitous fast-food outlets, an increased exposure to fast-food outlets does not seem to have a substantial impact on eating behaviour. Further research is needed to better understand how fast-food exposure contributes to overweight.
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http://dx.doi.org/10.1111/ijpo.13175 | DOI Listing |
Survey-based studies linking diet patterns to health may be fatally flawed, paper suggests.
View Article and Find Full Text PDFEnviron Toxicol Chem
January 2025
Osnabrück University, Osnabrück, Lower Saxony, Germany.
In regulatory aquatic risk assessment, toxicokinetic-toxicodynamic (TKTD) methods, such as the generalized unified threshold model of survival (GUTS), are already established and considered ready for use, whereas TKTD methods for aboveground terrestrial species, like arthropods, are less developed and currently not intended for risk assessment. This could be due to the fact that exposure in aboveground terrestrial systems is more event-based (feeding, contact, overspray, etc.), whereas exposure in aquatic systems is simply related to substance concentrations in the surrounding water.
View Article and Find Full Text PDFJAMA Netw Open
January 2025
Division of Endocrinology, Diabetes and Metabolism, Mayo Clinic, Rochester, Minnesota.
Importance: Understanding the interplay between diabetes risk factors and diabetes development is important to develop individual, practice, and population-level prevention strategies.
Objective: To evaluate the progression from normal and impaired fasting glucose levels to diabetes among adults.
Design, Setting, And Participants: This retrospective community-based cohort study used data from the Rochester Epidemiology Project, in Olmsted County, Minnesota, on 44 992 individuals with at least 2 fasting plasma glucose (FPG) measurements from January 1, 2005, to December 31, 2017.
Curr Osteoporos Rep
January 2025
Norwich Medical School, University of East Anglia, Norwich, NR4 7TJ, UK.
Purpose Of Review: This review aims to summarise recent evidence on the effects of dietary patterns on the risk of bone fractures and sarcopenia.
Recent Findings: Several dietary patterns have been investigated in relation to musculoskeletal health, including Mediterranean Dietary Patterns (MDP), Dietary Inflammatory Indices, vegetarian and vegan diets. Adherence to 'healthier' dietary patterns appears to be protective against fractures and sarcopenia, with the strongest protective associations found between the MDP and fractures.
J Nutr Educ Behav
January 2025
Department of Health Education and Behavior, University of Florida, Gainesville, FL. Electronic address:
Objective: Evaluate the usability and acceptability of a digital infant feeding module for use in a home visiting program.
Methods: Home visitors (n = 11) and mothers (n = 10) completed a qualitative interview while viewing a digital nutrition education module on infant feeding. Quantitative data were collected using the mHealth App Usability Questionnaire.
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