ArticleInternational journal of obesity (2005)2019
Do physical activity, commuting mode, cardiorespiratory fitness and sedentary behaviours modify the genetic predisposition to higher BMI? Findings from a UK Biobank study.
Article in International journal of obesity (2005), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis 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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Polygenic scores and physical fitness prediction: a systematic review.Human genetics · 2026Pooled it
- Estimating the effect of physical activity on cognitive function within the UK Biobank cohort.International journal of epidemiology · 2023Article
- Is city-level travel time by car associated with individual obesity or diabetes in Latin American cities? Evidence from 178 cities in the SALURBAL project.Cities (London, England) · 2022Article
- City-Level Travel Time and Individual Dietary Consumption in Latin American Cities: Results from the SALURBAL Study.International journal of environmental research and public health · 2022Article
- Clustering Accelerometer Activity Patterns from the UK Biobank Cohort.Sensors (Basel, Switzerland) · 2021Article
- Cardiorespiratory fitness assessment using risk-stratified exercise testing and dose-response relationships with disease outcomes.Scientific reports · 2021Article
- Heritability of objectively assessed and self-reported sedentary behavior.Scandinavian journal of medicine & science in sports · 2020Article
- Associations of air pollution with obesity and body fat percentage, and modification by polygenic risk score for BMI in the UK Biobank.Environmental research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 2 institutions in 2 countries.
Funding
Abstract
objectiveTo investigate whether the association between a genetic profile risk score for obesity (GPRS-obesity) (based on 93 SNPs) and body mass index (BMI) was modified by physical activity (PA), cardiorespiratory fitness, commuting mode, walking pace and sedentary behaviours.
methodsFor the analyses we used cross-sectional baseline data from 310,652 participants in the UK Biobank study. We investigated interaction effects of GPRS-obesity with objectively measured and self-reported PA, cardiorespiratory fitness, commuting mode, walking pace, TV viewing, playing computer games, PC-screen time and total sedentary behaviour on BMI. Body mass index (BMI) was the main outcome measure.
resultsGPRS-obesity was associated with BMI (β:0.54 kg.m
conclusionsPhysical activity, sedentary behaviours and fitness modify the extent to which a set of the most important known adiposity variants affect BMI. This suggests that the adiposity benefits of high PA and low sedentary behaviour may be particularly important in individuals with high genetic risk for obesity.
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.