Global Effects of Smoking, of Quitting, and of Taxing Tobacco
Notice bibliographique
Résumé
O n the basis of current smoking patterns, with a global ave rage of about 50% of young men and 10% of young women becoming smokers and relatively few stopping, annual tobacco-attributable deaths will rise from about 5 million in 2010 to more than 10 million a few decades hence, 1-3 as the young smokers of today reach middle and old age.This increase is due partly to population growth and partly to the fact that, in some large populations, generations in which few people smoked substantial numbers of cigarettes throughout adult life are being succeeded by generations in which many people did so.There were about 100 million deaths from tobacco in the 20th century, most in developed countries.2,3 If current smoking patterns persist, tobacco will kill about 1 billion people this century, mostly in low-and middle-income countries.About half of these deaths will occur before 70 years of age.[1][2][3][4] The 2013 World Health Assembly called on governments to reduce the prevalence of smoking by about a third by 2025, 5 which would avoid more than 200 million deaths from tobacco during the remainder of the century.2,3 Price is the key determinant of smoking uptake and cessation.[6][7][8][9] Worldwide, a reduction of about a third could be achieved by doubling the inflation-adjusted price of cigarettes, which in many low-and middle-income countries could be achieved by tripling the specific excise tax on tobacco.Other interventions recommended by the World Health Organization (WHO) Framework Convention on Tobacco Control (FCTC) and the WHO six-point MPOWER initiative 4 could also help reduce consumption 7,8 and could help make substantial increases in specific excise taxes on tobacco politically acceptable.Without large price increases, a reduction in smoking by a third would be difficult to achieve.The WHO has also called for countries to achieve a 25% reduction between 2008 and 2025 in the probability of dying from noncommunicable disease between 30 and 70 years of age. 10 Widespread cessation of smoking is the most important way to help achieve this goal, because smoking throughout adulthood substantially increases mortality from several major noncommunicable diseases (and from tuberculosis).[1][2][3][11][12][13][14][15][16][17][18][19] To help achieve a large reduction in smoking in the 2010s or 2020s, governments, health professionals, journalists, and other opinion leaders should appreciate the full eventual hazards of smoking cigarettes from early adulthood, the substantial benefits of stopping at various ages, the eventual magnitude of the epidemic of tobacco-attributable deaths if current smoking patterns persist, and the effectiveness of tax increases and other interventions to reduce cigarette consumption. Thr ee K ey Messages for Smok er s in the 21s t Cent ur yFirst, the risk is big.Large studies in the United Kingdom, the United States, Japan, and India have examined the eventual effects on mortality in populations of menThe New England Journal of Medicine Downloaded from nejm.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».