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Record W6981528359

Energy poverty: understanding its impact on hospitalization among Canadian adults aged 40 and older

2023· dissertation· en· W6981528359 on OpenAlexfundaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2023
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBioactive natural compounds
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchMcGill University
KeywordsEnergy (signal processing)MEDLINEEnergy expenditureEpidemiologyPopulation
DOInot available

Abstract

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Objective.About 17% to 18% of Canadian households experience energy poverty meaning that they are unable to afford or access domestic energy services needed to meet their needs and maintain healthy temperatures inside their homes.Despite these statistics, little is known about the effects of energy poverty on the health of Canadians.Using a weighted sample representing 3.9 million Canadians aged 40 and over, this thesis examines the effects of energy poverty on cardiovascular, respiratory, and cardiorespiratory-related hospitalizations occurring within 10 years.More precisely, this research project examines the associations between exposure to energy poverty and having at least one hospital admission, a single admission relative to zero, and two or more admissions relative to zero. Methods. This study uses population-based linked health data from the Canadian Census Health & Environment Cohort and the Discharge Abstract Database.Energy poverty is measured through expenditure-based indicators.The associations between energy poverty and cardiovascular and respiratory-related hospitalizations are modelled through logistic and multinomial logistic regressions and are adjusted for various socioeconomic, housing, and geographical variables. Results.Being energy-poor is associated with a higher likelihood of being hospitalized at least once for cardiovascular (OR: 1.07; 95%CI: 1.05, 1.09), respiratory (OR:1.15;95%CI: 1.12, 1.18), and cardiovascular or respiratory (OR: 1.10; 95%CI: 1.08, 1.12) diseases.Being energypoor increases the relative risk of being admitted for cardiovascular (RRR: 1.05; 95%CI: 1.03, 1.08), respiratory (RRR:1.13;95%CI: 1.10, 1.16) and cardiorespiratory (RRR= 1.13; 95%CI:1.09, 1.17) diseases.Similarly, energy poverty increases the relative risk of having two or more cardiovascular (RRR: 1.13; 95%CI: 1.09, 1.16), respiratory (RRR:1.22;95%CI: 1.16, 1.28), and cardiorespiratory-related (RRR:1.16;95%CI: 1.12, 1.19) admissions. Conclusion. Energy poverty is an independenthousing-related social determinant of cardiovascular and respiratory health among Canadian adults aged 40 and older.Future research should explore the effect of energy poverty on the respiratory health of Canadian children as well as the impact on mortality.II Rsum Objectif.Environ 17% 18% des mnages canadiens sont en situation de pauvret nergtique, c'est--dire qu'ils ne peuvent accder des services nergtiques domestiques ncessaires pour rpondre leurs besoins et protger leur sant.Malgr ces donnes, on connat peu sur les effets de la pauvret nergtique sur la sant des Canadiens.Par consquent, en utilisant un chantillon pondr reprsentant 3.9 millions de Canadiens gs de 40 ans et plus, cette thse examine les effets de la pauvret nergtique sur les hospitalisations lies aux maladies cardiovasculaires, respiratoires et cardiorespiratoires survenues au cours d'une priode de 10 ans.Plus prcisment, ce projet de recherche examine les associations entre l'exposition la pauvret nergtique et le fait d'avoir au moins une admission l'hpital, une seule admission par rapport zro, et deux admissions ou plus par rapport zro.Mthodes.Cette tude utilise des donnes de sant lies la population provenant de la Cohortes sant et environnement du recensement du Canada et de la Base de donnes sur les congs des patients.La pauvret nergtique est mesure par des indicateurs bass sur les dpenses.Les associations entre la pauvret nergtique et les hospitalisations lies aux maladies cardiovasculaires et respiratoires sont modlises par des rgressions logistiques et logistiques multinomiales, et sont ajustes pour diverses variables socio-conomiques, de logement et gographiques.Rsultats.La pauvret nergtique est associe une probabilit plus leve d'tre hospitalis au moins une fois pour des maladies cardiovasculaires (OR= 1.07 ; 95%CI : 1.05, 1.09), respiratoires (OR=1.15 ; 95%CI : 1.12, 1.18), et cardiorespiratoires (OR= 1.10 ; 95%CI : 1.08, 1.12).tre en situation de pauvret nergtique augmente le risque relatif d'tre admis pour des maladies cardiovasculaires (RRR =1.05 ; 95%CI : 1.03, 1.08), respiratoires (RRR=1.13; 95%CI : 1.10, 1.16) et cardiorespiratoires (RRR= 1.13 ; 95%CI : 1.09, 1.17).De mme, la pauvret nergtique augmente le risque relatif d'avoir au moins deux admissions pour des maladies cardiovasculaires (RRR=1.13; 95%CI : 1.09, 1.16), respiratoires (RRR=1.22 ; 95%CI : 1.16, 1.28) et cardiorespiratoires (RRR=1.16; 95%CI : 1.12, 1.19). Conclusion.La pauvret nergtique est un dterminant social de la sant cardiovasculaire et respiratoire chez les adultes canadiens gs de 40 ans et plus.Les recherches futures devraient possible.This work would not have been feasible without the mentorship of my supervisor Prof.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.006
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.243
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes2
Has abstractyes

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