Percorrer por autor "Pires, Sara M."
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- Risk-benefit assessment of cereal-based foods consumed by Portuguese children aged 6 to 36 months : a case study under the RiskBenefit4EU projectPublication . Assunção, Ricardo; Boué, Géraldine; Alvito, Paula; Brazão, Roberto; Carmona, Paulo; Carvalho, Catarina; Correia, Daniela; Fernandes, Paulo; Lopes, Carla; Martins, Carla; Membré, Jeanne-Marie; Monteiro, Sarogini; Nabais, Pedro; Thomsen, Sofie T.; Torres, Duarte; Pires, Sara M.; Jakobsen, Lea S.Cereal-based foods, including breakfast (BC) and infant cereals (IC), are among the first solid foods introduced to infants. BC and IC are sources of macro and micronutrients that have beneficial effects on health, but can also be sources of harmful chemical and microbiological contaminants and nutrients that may lead to adverse health effects at high consumption levels. This study was performed under the RiskBenefit4EU project with the aim of assessing the health impact associated with consumption of BC and IC by Portuguese children under 35 months. Adverse effects associated with the presence of aflatoxins, Bacillus cereus, sodium and free sugars were assessed against the benefits of fiber intake. We applied a risk–benefit assessment approach, and quantified the health impact of changes in consumption of BC and IC from current to various alternative consumption scenarios. Health impact was assessed in terms of disability-adjusted life years. Results showed that moving from the current consumption scenario to considered alternative scenarios results in a gain of healthy life years. Portuguese children can benefit from exchanging intake of IC to BC, if the BC consumed has an adequate nutritional profile in terms of fiber, sodium and free sugars, with levels of aflatoxins reduced as much as possible.
- Standardised reporting of burden of disease studies : the STROBOD statementPublication . Devleesschauwer, Brecht; Charalampous, Periklis; Gorasso, Vanessa; Assunção, Ricardo; Hilderink, Henk; Idavain, Jane; Lesnik, Tina; Santric-Milicevic, Milena; Pallari, Elena; Pires, Sara M.; Plass, Dietrich; Wyper, Grant M. A.; Lippe, Elena Von der; Haagsma, Juanita A.Background: The burden of disease (BOD) approach, originating with the Global Burden of Disease (GBD) study in the 1990s, has become a cornerstone for population health monitoring. Despite the widespread use of the Disability-Adjusted Life Year (DALY) metric, variations in methodological approaches and reporting inconsistencies hinder comparability across studies. To tackle this issue, we set out to develop guidelines for reporting DALY calculation studies to improve the transparency and comparability of BOD estimates. Methods and Findings: The development of the STROBOD statement began within the European Burden of Disease Network, evolving from initial concepts discussed in workshops and training sessions focused on critical analysis of BOD studies. In 2021, a working group was formed to refine the preliminary version into the final Standardised Reporting of Burden of Disease studies (STROBOD) statement, consisting of 28 items structured across six main sections. These sections cover the title, abstract, introduction, methods, results, discussion, and open science, aiming to ensure transparency and standardization in reporting BOD studies. Notably, the methods section of the STROBOD checklist encompasses aspects such as study setting, data inputs and adjustments, DALY calculation methods, uncertainty analyses, and recommendations for reproducibility and transparency. A pilot phase was conducted to test the efficacy of the STROBOD statement, highlighting the importance of providing clear explanations and examples for each reporting item. Conclusions: The inaugural STROBOD statement offers a crucial framework for standardizing reporting in BOD research, with plans for ongoing evaluation and potential revisions based on user feedback. While the current version focuses on general BOD methodology, future iterations may include specialized checklists for distinct applications such as injury or risk factor estimation, reflecting the dynamic nature of this field.