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Enregistrement W7024672367

Smoking and cessation behaviours in a community sample with type-2 diabetes: associations with depression

2014· dissertation· en· W7024672367 sur OpenAlexaboutno aff

Notice bibliographique

RevueeScholarship@McGill (McGill) · 2014
Typedissertation
Langueen
DomainePhysics and Astronomy
ThématiqueCold Atom Physics and Bose-Einstein Condensates
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDepression (economics)Smoking cessationConfoundingDiabetes mellitusPopulationDiseaseIncidence (geometry)Epidemiology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Background: Smoking is a highly prevalent behaviour practiced worldwide, associated with high levels of illness morbidity and mortality. It has been associated with the incidence of type-2 diabetes, as well as the progression of diabetes complications and increased disease specific and all-cause mortality. Smoking cessation is an important self-care recommendation in diabetes treatment guidelines, although it appears many continue to smoke. Moreover, smoking has been associated with depression. Depression is twice a prevalent in those with diabetes, and has been linked with poor regimen adherence, increased complications, morbidity and mortality. Little is currently known about the association or impact of smoking and depression in populations with chronic illnesses, and specifically in those with type-2 diabetes. Aims: Using a Canadian community based sample with type-2 diabetes, to determine: 1) Important differences in sociodemographic, health and disease related characteristics across smoking status; 2) Investigating the relationship between smoking status and depression while controlling for potential confounding factors; 3) Determining differences in the population according to cessation status and cessation attempts; and 4) Determining if there is a link between depression status and smoking cessation. Results: Smoking prevalence was similar to rates found in the general population, and appeared to be stable over a 4-year period. Current moderate-heavy smokers differed on sociodemographic characteristics, and were more likely to have more diabetes complications, more comorbid chronic illness and be less physically active. Moderate-heavy smoking was associated with depression in both cross-sectional and longitudinal analyses, controlling for baseline depression. Smoking cessation status also differed across sociodemographic characteristics. Unsuccessful quitters were more likely to rate their health as fair/poor and report more disability affected days in the past month. Finally, unsuccessful quitters were significantly associated with depression syndrome as compared to successful quitters, after controlling for sociodemographic, health and disease related variables. Conclusion: Consistent with findings from the general population, current smokers, and specifically current heavy daily smoking was associated with elevated symptoms of depression. This association appeared to be stable over time, producing a number of negative health and functional outcomes in these individuals. Given this increased risk of morbidity and mortality faced by individual's with diabetes, this strong association of smoking and depression is that much more dangerous. Clinician's should therefore counsel these individuals to give up smoking as soon as possible, following diabetes treatment regimen guidelines. In addition, there is the prevailing notion that individuals with depression may be unmotivated to quit smoking and therefore counselling these individuals might be fruitless. In our study, the association between smoking and depression was extended to include unsuccessful quitters, who also had elevated prevalence rates of depression compared to successful quitters and non-attempters. That successful quitters had lower depression than those who continued to smoke replicates findings from the general population. We did however extend this finding by contrasting those unsuccessful quitters to non-attempters. In our study, unsuccessful quitters had the highest prevalence of depression. This would appear to indicate that those with depression who smoke may be motivated to quit, but unable to do successfully accomplish this task. Clinician's should therefore be prepared to assess and offer smoking cessation advice to those with depression, while also preparing to provide these individuals with additional support during the quit process.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,638
Score d'incertitude au seuil0,729

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,013
Tête enseignante GPT0,238
Écart entre enseignants0,225 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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
Publié2014
Routes d'admission1
Résumé présentoui

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