Publications by authors named "C Curioni"

Objective: This study aimed to assess the association between ultraprocessed foods (UPF) consumption, eating disorders (EDs), food addiction and body image concerns.

Design: Systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

Data Sources: Medline, Scopus, Web of Science, EMBASE, LILACS and APA PsycInfo databases, for studies published between 2009 and July 2024.

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We investigated the influence of chronotype on eating habits among adolescents attending schools with morning (07:00 hours-12:00 hours) or afternoon (13:00 hours-18:00 hours) shifts, hypothesizing that incompatibility of study schedules may be related to dietary choices. In this cross-sectional study, 734 adolescents (aged 14-19 years) completed an online questionnaire covering eating habits, chronotype, sleep duration, social jet lag, socioeconomic data, physical activity and anthropometric measures. Odds ratios with 95% confidence intervals were estimated using adjusted logistic regression, stratified by study shift.

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Context: Olive oil is a vegetable oil that provides health benefits, including a reduction in free radicals and total cholesterol and prevention of chronic diseases. The escalating incidence of chronic diseases presents a substantial challenge to public health, prompting numerous studies to assess these health-related effects. Despite several systematic reviews and meta-analyses summarizing the association between olive oil consumption and specific health outcomes, there is no summary of the accumulated evidence from these reviews.

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Background And Aims: There is a need to consolidate reporting guidance for nutrition randomised controlled trial (RCT) protocols. The reporting completeness in nutrition RCT protocols and study characteristics associated with adherence to SPIRIT and TIDieR reporting guidelines are unknown. We, therefore, assessed reporting completeness and its potential predictors in a random sample of published nutrition and diet-related RCT protocols.

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The determination of energy requirements in clinical practice is based on basal metabolic rate (BMR), frequently predicted by equations that may not be suitable for individuals with severe obesity. This systematic review and meta-analysis examined the accuracy and precision of BMR prediction equations in adults with severe obesity. Four databases were searched in March 2021 and updated in May 2023.

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