ReviewFrontiers in nutrition2018
A Statistical Framework to Interpret Individual Response to Intervention: Paving the Way for Personalized Nutrition and Exercise Prescription.
Review in Frontiers in nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 9 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
107 citing papers in PubMed, 9 syntheses or guidelines pooled it.
- The effects of exercise training and nutritional supplementation on taekwondo performance: a systematic review and meta-analysis.Frontiers in nutrition · 2025Pooled it
- Standard Deviation of Individual Response for VOSports medicine (Auckland, N.Z.) · 2024Pooled it
- P1NP and β-CTX-1 Responses to a Prolonged, Continuous Running Bout in Young Healthy Adult Males: A Systematic Review with Individual Participant Data Meta-analysis.Sports medicine - open · 2023Pooled it
- The Predictive Validity of Individualised Load-Velocity Relationships for Predicting 1RM: A Systematic Review and Individual Participant Data Meta-analysis.Sports medicine (Auckland, N.Z.) · 2023Pooled it
- The Effects of Oral Contraceptives on Exercise Performance in Women: A Systematic Review and Meta-analysis.Sports medicine (Auckland, N.Z.) · 2020Pooled it
- The Muscle Carnosine Response to Beta-Alanine Supplementation: A Systematic Review With Bayesian Individual and Aggregate Data E-Max Model and Meta-Analysis.Frontiers in physiology · 2020Pooled it
- A Systematic Risk Assessment and Meta-Analysis on the Use of Oral β-Alanine Supplementation.Advances in nutrition (Bethesda, Md.) · 2019Pooled it
- Pooled it
- Pooled it
- Individual responses to pomegranate juice on recovery from exercise-induced muscle damage in collegiate male volleyball players.Journal of the International Society of Sports Nutrition · 2026Trial
- Trial
- Improvements in glucose metabolism after high-, but not low-, volume strength exercise in individuals with obesity are associated with baseline insulin resistance: a secondary analysis from a randomized clinical trial.European journal of applied physiology · 2026Trial
- Trial
- Heavy resistance exercise training in older men: A responder and inter-individual variability analysis.PloS one · 2026Trial
- Repeated Resistance Training Reveals the Reproducibility of Muscle Strength and Size Responses Within Individuals.European journal of sport science · 2025Trial
- Individual responses to encapsulated caffeine and caffeine chewing gum on strength and power in strength-trained males.Journal of the International Society of Sports Nutrition · 2025Trial
- Trial
- Trial
- Trial
- Trial
47 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The concept of personalized nutrition and exercise prescription represents a topical and exciting progression for the discipline given the large inter-individual variability that exists in response to virtually all performance and health related interventions. Appropriate interpretation of intervention-based data from an individual or group of individuals requires practitioners and researchers to consider a range of concepts including the confounding influence of measurement error and biological variability. In addition, the means to quantify likely statistical and practical improvements are facilitated by concepts such as confidence intervals (CIs) and smallest worthwhile change (SWC). The purpose of this review is to provide accessible and applicable recommendations for practitioners and researchers that interpret, and report personalized data. To achieve this, the review is structured in three sections that progressively develop a statistical framework. Section 1 explores fundamental concepts related to measurement error and describes how typical error and CIs can be used to express uncertainty in baseline measurements. Section 2 builds upon these concepts and demonstrates how CIs can be combined with the concept of SWC to assess whether meaningful improvements occur post-intervention. Finally, section 3 introduces the concept of biological variability and discusses the subsequent challenges in identifying individual response and non-response to an intervention. Worked numerical examples and interactive Supplementary Material are incorporated to solidify concepts and assist with implementation in practice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.