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Enregistrement W1569729036 · doi:10.1111/add.12831

Commentary on Lam <i>et al</i> . 2015: The slow hazards of smoking and the rapid benefits of cessation

2015· letter· en· W1569729036 sur OpenAlexaff
Prabhat Jha

Notice bibliographique

RevueAddiction · 2015
Typeletter
Langueen
DomaineMedicine
ThématiqueSmoking Behavior and Cessation
Établissements canadiensUniversity of TorontoCentre for Global Health ResearchSt. Michael's Hospital
Organismes subventionnairesnon disponible
Mots-clésDemographyMedicineMortality rateSmoking cessationAddictionYears of potential life lostGerontologyLife expectancyEnvironmental healthPopulationPsychiatrySurgery

Résumé

récupéré en direct d'OpenAlex

From 2000 to 2010, world-wide death rates before age 70 years fell by approximately 19%, driven in large part by reductions in child mortality 1. Death rates from tobacco-related diseases at these ages fall less slowly, partly because previous generations, characterized by fewer people smoking seriously throughout adult life, are being succeeded by generations where many do 2-4. Hence, the proportion of adult deaths due to smoking is set to rise. Indeed, if current smoking patterns persist, tobacco will kill approximately 1 billion people this century, mainly in low- and middle-income countries (LMICs). The details of the evolution of the smoking epidemic in the 21st century have become clearer only in recent years. Large recent studies in the United Kingdom, United States, Japan and India have examined the eventual effects on mortality in populations of men and women where many began to smoke in early adult life and did not quit 5-10. These studies found that in middle age (approximately 30–69 years), cigarette smokers had two or three times the mortality rate of otherwise similar never-smokers, leading to a loss of approximately 10 years of healthy life. This average reduction combines zero loss for those not killed by tobacco with an average loss of substantially greater than a decade for those killed by it. In this issue of Addiction, Lam and colleagues show that elderly Hong Kong residents aged more than 65 years who currently smoke have a mortality rate just lower than twice that for similar never smokers 11. Many of those killed from smoking worldwide are still in middle age (and in India, fully 70% of tobacco deaths occur in middle age [10]), losing many years of good life. Some of those killed in middle age might have died soon in any case, but others might have lived on for decades. On average, those killed in middle age lose approximately 20 years of never-smoker life expectancy. World-wide, approximately 1.3 billion people now smoke, mainly in LMICs where cessation remains uncommon 12. In China, cigarette consumption continues to rise steeply, and now accounts for more than 2 trillion of the global total of approximately 6 trillion cigarettes consumed per year 3. There is a delay of approximately half a century between the widespread adoption of smoking by young adults and the main effect on mortality in later life 2. In US adults, cigarette consumption per adult averaged one, four and 10 per day in 1910, 1930 and 1950. Tobacco caused 12% of all US deaths in middle age in 1950, and this proportion increased to 33% by 1990. A similar pattern was seen approximately 40 years later in Chinese men, who consumed approximately one, four and 10 cigarettes per day in 1952, 1972 and 1992. In 1990, tobacco caused approximately 12% of Chinese male deaths in middle age, and could well cause approximately 33% in 2030 13, 14. Hong Kong men started smoking 2 decades earlier than mainland Chinese men, and among them approximately 33% of all deaths are due to smoking 15. Note that smoking causes few deaths in Chinese women, as fewer than 1% of Chinese women born since 1950 smoke 12. Among men in LMICs, where many smoke but the death rates in middle age from smoking are not yet substantial, a full decade of life expectancy will eventually be lost by young adults who continue to smoke. Tobacco smoking already accounts for between 12 and 25% of adult male mortality in LMICs such as China 13, 14, India 10, Bangladesh 16 and South Africa 17, and on current smoking patterns these hazards are likely to increase. World-wide, approximately half a billion people below age 35 already smoke, and this number is set to increase if current uptake rates persist; at current cessation patterns, relatively few will quit 12. In comparison with the slow increase in tobacco-attributable mortality following the uptake of smoking, the effects of cessation emerge more rapidly 3, 5-10, 18. Those who have smoked cigarettes since early adult life but stop at 30, 40 or 50 years of age regain, respectively, approximately 10, 9 and 6 years of life expectancy, compared with those who continue smoking 5-10. The paper by Lam and colleagues shows that even elderly former smokers reduce their excess risk of all-cause death by approximately 50% compared to current smokers. This might underestimate the hazards of smoking and benefits of cessation: many smokers quit as a result of disease, not to avoid it, and among current smokers some quit between the time of interview and study follow-up. The most important tobacco control strategy is to get current smokers to quit. Substantial increases in excise taxes are the best intervention to raise cessation rates 3, 19, but unfortunately too many governments, most notably China's, are not using substantial increases in excise taxes to curb consumption. None.

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,396
Score d'incertitude au seuil0,415

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
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 recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,025
Tête enseignante GPT0,281
Écart entre enseignants0,256 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations1
Publié2015
Routes d'admission1
Résumé présentoui

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