ArticlePloS one2018
Development and validation of a population based risk algorithm for obesity: The Obesity Population Risk Tool (OPoRT).
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Development and internal validation of a risk score for incident obesity among Peruvian formal workers.Obesity pillars · 2026Article
- Transfer Learning Prediction of Early Exposures and Genetic Risk Score on Adult Obesity in Two Minority Cohorts.Prevention science : the official journal of the Society for Prevention Research · 2025Article
- Development and validation of a population-based risk algorithm for premature mortality in Canada: the Premature Mortality Population Risk Tool (PreMPoRT).BMJ public health · 2024Article
- A study protocol for a predictive model to assess population-based avoidable hospitalization risk: Avoidable Hospitalization Population Risk Prediction Tool (AvHPoRT).Diagnostic and prognostic research · 2024Article
- Motivational interviewing to promote healthy behaviors for obesity prevention in young adults (MOTIVATE): a pilot randomized controlled trial protocol.Pilot and feasibility studies · 2023Article
- Examining the association between work stress, life stress and obesity among working adult population in Canada: findings from a nationally representative data.Archives of public health = Archives belges de sante publique · 2022Article
- A study protocol for a predictive algorithm to assess population-based premature mortality risk: Premature Mortality Population Risk Tool (PreMPoRT).Diagnostic and prognostic research · 2020Article
- Development and Validation of the Chronic Disease Population Risk Tool (CDPoRT) to Predict Incidence of Adult Chronic Disease.JAMA network open · 2020Article
- The future burden of obesity in Canada: a modelling study.Canadian journal of public health = Revue canadienne de sante publique · 2019Article
- Chronic Disease Population Risk Tool (CDPoRT): a study protocol for a prediction model that assesses population-based chronic disease incidence.Diagnostic and prognostic research · 2018Article
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Authors and funding
4 authors.
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Abstract
backgroundGiven the dramatic rise in the prevalence of obesity, greater focus on prevention is necessary. We sought to develop and validate a population risk tool for obesity to inform prevention efforts.
methodsWe developed the Obesity Population Risk Tool (OPoRT) using the longitudinal National Population Health Survey and sex-specific Generalized Estimating Equations to predict the 10-year risk of obesity among adults 18 and older. The model was validated using a bootstrap approach accounting for the survey design. Model performance was measured by the Brier statistic, discrimination was measured by the C-statistic, and calibration was assessed using the Hosmer-Lemeshow Goodness of Fit Chi Square (HL χ2).
resultsPredictive factors included baseline body mass index, age, time and their interactions, smoking status, living arrangements, education, alcohol consumption, physical activity, and ethnicity. OPoRT showed good performance for males and females (Brier 0.118 and 0.095, respectively), excellent discrimination (C statistic ≥ 0.89) and achieved calibration (HL χ2 <20).
conclusionOPoRT is a valid and reliable algorithm that can be applied to routinely collected survey data to estimate the risk of obesity and identify groups at increased risk of obesity. These results can guide prevention efforts aimed at reducing the population burden of obesity.
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