Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Nutrition users' guides: systematic reviews part 1 -structured guide for methodological assessment, interpretation and application of systematic reviews and meta-analyses of non-randomised nutritional epidemiology studies.
BMJ Nutr Prev Health
August 2024
Department of Nutrition, College of Agriculture and Life Sciences, Texas A&M University, College Station, Texas, USA.
Due to the challenges of conducting randomised controlled trials (randomised trials) of dietary interventions, evidence in nutrition often comes from non-randomised (observational) studies of nutritional exposures-called nutritional epidemiology studies. When using systematic reviews of such studies to advise patients or populations on optimal dietary habits, users of the evidence (eg, healthcare professionals such as clinicians, health service and policy workers) should first evaluate the rigour (validity) and utility (applicability) of the systematic review. Issues in making this judgement include whether the review addressed a sensible question; included an exhaustive literature search; was scrupulous in the selection of studies and the collection of data; and presented results in a useful manner.
View Article and Find Full Text PDFNutrition Users' Guides: RCTs Part 2 - structured guide for interpreting and applying study results from randomised controlled trials on therapy or prevention questions.
BMJ Nutr Prev Health
August 2024
Department of Nutrition, College of Agriculture and Life Sciences, Texas A&M University, College Station, Texas, USA.
This article continues from a prior commentary on evaluating the risk of bias in randomised controlled trials addressing nutritional interventions. Having provided a synopsis of the risk of bias issues, we now address how to understand trial results, including the interpretation of best estimates of effect and the corresponding precision (eg, 95% CIs), as well as the applicability of the evidence to patients based on their unique circumstances (eg, patients' values and preferences when trading off potential desirable and undesirable health outcomes and indicators (eg, cholesterol), and the potential burden and cost of an intervention). Authors can express the estimates of effect for health outcomes and indicators in relative terms (relative risks, relative risk reductions, OR or HRs)-measures that are generally consistent across populations-and absolute terms (risk differences)-measures that are more intuitive to clinicians and patients.
View Article and Find Full Text PDFNutrition users' guides: RCTs part 1 - structured guide for assessing risk of bias in randomised controlled trials that address therapy or prevention questions.
BMJ Nutr Prev Health
August 2024
Department of Nutrition, College of Agriculture and Life Sciences, Texas A&M University, College Station, Texas, USA.
The purpose of this article, part 1 of 2 on randomised controlled trials (RCTs), is to provide readers (eg, clinicians, patients, health service and policy decision-makers) of the nutrition literature structured guidance on interpreting RCTs. Evaluation of a given RCT involves several considerations, including the potential for risk of bias, the assessment of estimates of effect and their corresponding precision, and the applicability of the evidence to one's patient. Risk of bias refers to flaws in the design or conduct of a study that may lead to a deviation from measuring the underlying true effect of an intervention.
View Article and Find Full Text PDFAssociation between early dietary patterns and cardiometabolic health at age 8: a confirmatory analysis of the European Childhood Obesity Project.
Nutr J
January 2025
Paediatrics, Nutrition and Development Research Unit, Universitat Rovira i Virgili. Reus, Tarragona, Spain.
Background & Aim: Metabolic and cardiovascular health outcomes are strongly influenced by diet. Dietary habits established in early childhood may persist into adulthood. This study aimed to examine the association between dietary patterns at both 2 and 8 years of age, explaining the maximum variability of high- and low-quality fats, sugars, and fibre, and cardiometabolic markers at age 8 years.
View Article and Find Full Text PDFValorization of Macroalgal Hydrolysate for the Production of Lipids and DHA by Marine Microbes.
J Oleo Sci
January 2025
Botany and Microbiology Department, Faculty of Science, King Saud University.
The present study aimed to explore the potential of macroalgal hydrolysate to serve as an economical substrate for the growth of the oleaginous microbes Aspergillus sp. SY-70, Rhizopus arrhizus SY-71 and Aurantiochytrium sp. YB-05 for lipid and DHA production under laboratory conditions.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!