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Enregistrement W2521391805 · doi:10.1158/1940-6215.prev-13-a47

Abstract A47: Lifetime occupational physical activity and lung cancer risk in men and women

2013· article· en· W2521391805 sur OpenAlexaffabout
Vikki Ho, Marie‐Élise Parent, Javier Pintos, Michał Abrahamowicz, Lise Gauvin, Jack Siemiatycki, Anita Koushik

Notice bibliographique

RevueCancer Prevention Research · 2013
Typearticle
Langueen
DomaineMedicine
ThématiqueOccupational and environmental lung diseases
Établissements canadiensConcordia UniversityArmand Frappier MuseumInstitut National de la Recherche ScientifiqueMcGill UniversityCentre Hospitalier de l’Université de Montréal
Organismes subventionnairesnon disponible
Mots-clésLung cancerMedicineMetabolic equivalentPopulationGerontologyOccupational medicineEnvironmental healthDemographyPhysical therapyEpidemiologyPhysical activityInternal medicine

Résumé

récupéré en direct d'OpenAlex

Abstract The majority of epidemiological studies investigating the relationship between physical activity (PA) and lung cancer risk support the role of recreational PA in lung cancer risk reduction. There have been fewer studies that have examined occupational PA in relation to lung cancer risk and inconclusive results have been reported with some evidence supporting a positive association. In most of these studies, the assessment of occupational PA was crude, based either on self-reported cross-sectional assessments or simple job title-based categorizations. Consideration of lifetime occupational PA and occupational PA accrued in different age windows may provide additional information regarding the direction and magnitude of the relationship, as well as the biologically relevant time window, between PA and lung cancer risk. Methods: The relationship between lifetime occupational PA and lung cancer risk was examined in a population-based case-control study of 1,136 incident lung cancer cases and 1,457 controls conducted in Montreal, Canada. Lifetime job history was collected via in-person interviews; for each job, the main tasks conducted were also obtained. The energy expenditure for each job-related task was determined via expert assessment by an industrial hygienist and an exercise physiologist in units of metabolic equivalent of task (MET). For each job, an average MET value was calculated by weighting the MET values of each job-related task by the hours per week spent in each task. The average lifetime occupational PA level was then computed by weighting the average MET value for each job by the duration spent in that job. The interview also elicited information on the subject's habitual recreational PA. Unconditional logistic regression was used to estimate adjusted odds ratios (OR) with 95% confidence intervals (CI) for lung cancer risk associated with average lifetime occupational PA and average occupational PA levels in different age windows while controlling for potential confounders. Specifically, average occupational PA in the age windows of 18-24, 24-44 and 45-64 years in relation to lung cancer risk was examined. Confounding was assessed by combining directed acyclic graphs and the change-in-estimate procedure as a novel approach for covariate selection. Effect modification by smoking, body mass index (BMI) and exposure to occupational carcinogens was also assessed. All analyses were conducted separately for men and women. Results: The OR (95% CI) between average lifetime occupational PA and lung cancer risk, comparing the highest versus lowest quartile, was 1.38 (0.88-2.16) in men and 1.01 (0.58-1.76) in women. These associations were not modified by smoking level, BMI or occupational carcinogen exposure. Occupational PA in men was not associated with lung cancer in any of the age windows in which exposure was examined. In women, the highest versus lowest quartile of occupational PA was associated with an increased risk of lung cancer in the age window of 18-24 years (OR=1.72: 1.00-2.94); in the age windows of 24-44 (OR=0.89: 0.53-1.48) and 45-64 years (OR=0.63: 0.38-1.02) no increase in lung cancer risk was observed. When analyses were adjusted for recreational PA, results did not differ appreciably. Conclusion: These results fail to support the previously reported protective effects of PA on lung cancer risk. To the limited extent that they show a deviation from the null hypothesis of no influence on risk, they actually suggest some increased risk of lung cancer with higher occupational PA, although this relationship was inconsistent between sexes and in different age windows. This research was funded by the Canadian Cancer Society and the Guzzo-SRC Chair in Environment and Cancer. Citation Format: Vikki Ho, Marie-Élise Parent, Javier Pintos, Michal Abrahamowicz, Lise Gauvin, Jack Siemiatycki, Anita Koushik. Lifetime occupational physical activity and lung cancer risk in men and women. [abstract]. In: Proceedings of the Twelfth Annual AACR International Conference on Frontiers in Cancer Prevention Research; 2013 Oct 27-30; National Harbor, MD. Philadelphia (PA): AACR; Can Prev Res 2013;6(11 Suppl): Abstract nr A47.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,067
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,033
Tête enseignante GPT0,412
Écart entre enseignants0,379 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission2
Résumé présentoui

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