{"id":{"repo_id":"ottawa-retro","oai_identifier":"oai:ruor.uottawa.ca:10393/50808"},"canonical_url":"https://search.dev.ndltd.org/etd/ottawa-retro/oai:ruor.uottawa.ca:10393/50808","repository":{"repo_id":"ottawa-retro","name":"University of Ottawa","base_url":"https://ruor.uottawa.ca/server/oai/request"},"display":{"title":"Development and Validation of a Diagnostic Model - The Hypertension Population Risk Tool (HTNPoRT) - to Predict Hypertension and Describe Risk Profiles: A Population-Based Cross-Sectional Study of Canadians","abstract":"Background: Hypertension is preventable, and existing models predicting hypertension lack use for individual and population health planning. Methods: The Hypertension Population Risk Tool (HTNPoRT) was derived from 19,643 adult respondents in the Canadian Health Measures Survey. Sex-specific logistic regression models predicting hypertension presence were developed using 16 predictors: 4 sociodemographics, 3 psychosocial measures, 2 health status indicators, 5 health behaviours, and 2 chronic conditions. Results: The final HTNPoRT models were discriminating (c-statistic, men: 0.86; women: 0.88), and well-calibrated in the overall population (observed v. predicted relative difference, men: 1.02%; women: 1.41%) and nearly all equity-relevant subgroups (179 out of 181). Age, diabetes, and body mass index were most influential predictors of hypertension seen on SHAP-derived risk profiles, while predictability of adiposity measures differed across sex. Conclusions: The public and health policymakers can use the models and risk profiles of HTNPoRT to support planning and decision-making on addressing the hypertension burden.","abstract_html":"Background: Hypertension is preventable, and existing models predicting hypertension lack use for individual and population health planning. Methods: The Hypertension Population Risk Tool (HTNPoRT) was derived from 19,643 adult respondents in the Canadian Health Measures Survey. Sex-specific logistic regression models predicting hypertension presence were developed using 16 predictors: 4 sociodemographics, 3 psychosocial measures, 2 health status indicators, 5 health behaviours, and 2 chronic conditions. Results: The final HTNPoRT models were discriminating (c-statistic, men: 0.86; women: 0.88), and well-calibrated in the overall population (observed v. predicted relative difference, men: 1.02%; women: 1.41%) and nearly all equity-relevant subgroups (179 out of 181). Age, diabetes, and body mass index were most influential predictors of hypertension seen on SHAP-derived risk profiles, while predictability of adiposity measures differed across sex. Conclusions: The public and health policymakers can use the models and risk profiles of HTNPoRT to support planning and decision-making on addressing the hypertension burden.","abstract_has_math":false,"creators":["Islam, Rafidul"],"institution":"Université d'Ottawa / University of Ottawa","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Manuel, Douglas"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-08-29T18:37:01Z","date_published":"2025-08-29T18:37:01Z","updated_at":"2026-07-24T03:39:36Z","subjects":["hypertension","blood pressure","population health","diagnostic model","risk profile","models","Canada"],"languages":["en"],"rights":["Attribution 4.0 International"],"rights_urls":["http://creativecommons.org/licenses/by/4.0/"],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://doi.org/10.20381/ruor-31356"],"render_values":[{"text":"https://doi.org/10.20381/ruor-31356","href":"https://doi.org/10.20381/ruor-31356","code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/10393/50808","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Manuel, Douglas"]},{"key":"dc:creator","label":"Author","values":["Islam, Rafidul"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-08-29T18:37:01Z","2025-08-29"]},{"key":"dc:publisher","label":"Institution","values":["Université d'Ottawa / University of Ottawa"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["hypertension","blood pressure","population health","diagnostic model","risk profile","models","Canada"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Attribution 4.0 International","http://creativecommons.org/licenses/by/4.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10393/50808","https://doi.org/10.20381/ruor-31356"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Background: Hypertension is preventable, and existing models predicting hypertension lack use for individual and population health planning. Methods: The Hypertension Population Risk Tool (HTNPoRT) was derived from 19,643 adult respondents in the Canadian Health Measures Survey. Sex-specific logistic regression models predicting hypertension presence were developed using 16 predictors: 4 sociodemographics, 3 psychosocial measures, 2 health status indicators, 5 health behaviours, and 2 chronic conditions. Results: The final HTNPoRT models were discriminating (c-statistic, men: 0.86; women: 0.88), and well-calibrated in the overall population (observed v. predicted relative difference, men: 1.02%; women: 1.41%) and nearly all equity-relevant subgroups (179 out of 181). Age, diabetes, and body mass index were most influential predictors of hypertension seen on SHAP-derived risk profiles, while predictability of adiposity measures differed across sex. Conclusions: The public and health policymakers can use the models and risk profiles of HTNPoRT to support planning and decision-making on addressing the hypertension burden."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Development and Validation of a Diagnostic Model - The Hypertension Population Risk Tool (HTNPoRT) - to Predict Hypertension and Describe Risk Profiles: A Population-Based Cross-Sectional Study of Canadians"]}]}],"canonical_facts":{"dc:contributor":["Manuel, Douglas"],"dc:creator":["Islam, Rafidul"],"dc:date":["2025-08-29T18:37:01Z","2025-08-29"],"dc:description":["Background: Hypertension is preventable, and existing models predicting hypertension lack use for individual and population health planning. Methods: The Hypertension Population Risk Tool (HTNPoRT) was derived from 19,643 adult respondents in the Canadian Health Measures Survey. Sex-specific logistic regression models predicting hypertension presence were developed using 16 predictors: 4 sociodemographics, 3 psychosocial measures, 2 health status indicators, 5 health behaviours, and 2 chronic conditions. Results: The final HTNPoRT models were discriminating (c-statistic, men: 0.86; women: 0.88), and well-calibrated in the overall population (observed v. predicted relative difference, men: 1.02%; women: 1.41%) and nearly all equity-relevant subgroups (179 out of 181). Age, diabetes, and body mass index were most influential predictors of hypertension seen on SHAP-derived risk profiles, while predictability of adiposity measures differed across sex. Conclusions: The public and health policymakers can use the models and risk profiles of HTNPoRT to support planning and decision-making on addressing the hypertension burden."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10393/50808","https://doi.org/10.20381/ruor-31356"],"dc:language":["en"],"dc:publisher":["Université d'Ottawa / University of Ottawa"],"dc:rights":["Attribution 4.0 International","http://creativecommons.org/licenses/by/4.0/"],"dc:subject":["hypertension","blood pressure","population health","diagnostic model","risk profile","models","Canada"],"dc:title":["Development and Validation of a Diagnostic Model - The Hypertension Population Risk Tool (HTNPoRT) - to Predict Hypertension and Describe Risk Profiles: A Population-Based Cross-Sectional Study of Canadians"],"dc:type":["Thesis"]},"updated_at":"2026-07-24T03:39:36Z"}