ArticleJAMA network open2024
Physical Activity and Incident Obesity Across the Spectrum of Genetic Risk for Obesity.
Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- Pooled it
- Association of genetic risk and physical activity with incident type 2 diabetes.The Journal of clinical endocrinology and metabolism · 2026Article
- Predicting incident type 2 diabetes using wearable activity and polygenic risk: A survival-modeling study in All of Us.The Journal of clinical endocrinology and metabolism · 2026Article
- Wearable devices and cardiovascular health: revolutionizing remote monitoring and disease prevention.European heart journal · 2026Review
- Characterizing Physical Activity Trajectories Preceding Incident Major Depressive Disorder Diagnosis With Consumer Wearable Devices in the All of Us Research Program: Retrospective Nested Case-Control Study.Journal of medical Internet research · 2026Article
- One-Year Trajectory of Step Counts and Weight Loss in Adults With Overweight/Obesity: Retrospective Cohort Study.JMIR mHealth and uHealth · 2026Article
- Extreme Temperatures, Physical Activity, and Adaptation.Journal of public economics · 2026Article
- Daily steps offset risks of sedentary behavior in the All of Us research program.Nature communications · 2026Article
- The genetics of obesity: aetiology, prevention and therapy.Nature metabolism · 2026Review
- Genetic Predisposition to Excess Body Weight and Survival in Women Diagnosed With Breast Cancer.JAMA network open · 2026Article
- The Genetic Blueprint of Obesity: From Pathogenesis to Novel Therapies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Review
- Nutrigenomics of Obesity: Integrating Genomics, Epigenetics, and Diet-Microbiome Interactions for Precision Nutrition.Life (Basel, Switzerland) · 2025Review
- The association between parental BMI and offspring adiposity: A genetically informed analysis of trios.PLoS genetics · 2025Article
- Knowledge and Education on Physical Activity Health Benefits and Prescription Principles Among Greek Medical Students.Behavioral sciences (Basel, Switzerland) · 2025Article
- Association of cardiometabolic markers with hepatic steatosis and liver fibrosis in population without obesity and diabetes.Scientific reports · 2025Article
- Goal setting for WHO guideline adherence: accelerometer steps/day translation of moderate-to-vigorous physical activity in older adults.Frontiers in public health · 2025Article
- Psychometric evaluation of the exercise-related cognitive errors questionnaire among Chinese emerging adults.Frontiers in psychology · 2025Article
- Diabetes and obesity: leveraging heterogeneity for precision medicine.European heart journal · 2024Review
- Exercise as a tool to mitigate metabolic disease.American journal of physiology. Cell physiology · 2024Review
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8 authors at 1 institution in 1 country.
Funding
Abstract
Importance: Despite consistent public health recommendations, obesity rates in the US continue to increase. Physical activity recommendations do not account for individual genetic variability, increasing risk of obesity. Objective: To use activity, clinical, and genetic data from the All of Us Research Program (AoURP) to explore the association of genetic risk of higher body mass index (BMI) with the level of physical activity needed to reduce incident obesity. Design, Setting, and Participants: In this US population-based retrospective cohort study, participants were enrolled in the AoURP between May 1, 2018, and July 1, 2022. Enrollees in the AoURP who were of European ancestry, owned a personal activity tracking device, and did not have obesity up to 6 months into activity tracking were included in the analysis. Exposure: Physical activity expressed as daily step counts and a polygenic risk score (PRS) for BMI, calculated as weight in kilograms divided by height in meters squared. Main Outcome and Measures: Incident obesity (BMI ≥30). Results: A total of 3124 participants met inclusion criteria. Among 3051 participants with available data, 2216 (73%) were women, and the median age was 52.7 (IQR, 36.4-62.8) years. The total cohort of 3124 participants walked a median of 8326 (IQR, 6499-10 389) steps/d over a median of 5.4 (IQR, 3.4-7.0) years of personal activity tracking. The incidence of obesity over the study period increased from 13% (101 of 781) to 43% (335 of 781) in the lowest and highest PRS quartiles, respectively (P = 1.0 × 10-20). The BMI PRS demonstrated an 81% increase in obesity risk (P = 3.57 × 10-20) while mean step count demonstrated a 43% reduction (P = 5.30 × 10-12) when comparing the 75th and 25th percentiles, respectively. Individuals with a PRS in the 75th percentile would need to walk a mean of 2280 (95% CI, 1680-3310) more steps per day (11 020 total) than those at the 50th percentile to have a comparable risk of obesity. To have a comparable risk of obesity to individuals at the 25th percentile of PRS, those at the 75th percentile with a baseline BMI of 22 would need to walk an additional 3460 steps/d; with a baseline BMI of 24, an additional 4430 steps/d; with a baseline BMI of 26, an additional 5380 steps/d; and with a baseline BMI of 28, an additional 6350 steps/d. Conclusions and Relevance: In this cohort study, the association between daily step count and obesity risk across genetic background and baseline BMI were quantified. Population-based recommendations may underestimate physical activity needed to prevent obesity among those at high genetic risk.
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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 Socratic graph.