Perceived Risk of Tobacco Products among Adult Tobacco Users in Bangladesh and India
Notice bibliographique
Résumé
There is considerable evidence demonstrating that smokers underestimate or minimize their own perceived risk of harm from smoking, and that smokers’ perceptions of risk play a key role in their behaviour, notably quitting. However, the majority of this research has been conducted in high-income countries and on cigarette smokers only. Much less is known about the relationship between risk perceptions of tobacco products other than cigarettes and the influence of these beliefs on behaviour, such as maintaining tobacco use, switching products, or quitting. This is particularly important in countries like India and Bangladesh, where multiple tobacco products are prevalent and there are high rates of tobacco use, including some of the highest rates of smokeless tobacco use in the world. The main goals of this dissertation were to evaluate risk perceptions of three common tobacco products in India and Bangladesh (cigarettes, bidis, and smokeless tobacco), to compare risk perceptions across different types of tobacco users, and to determine the function of these risk perceptions in relation to behaviour. The data for this study was from the International Tobacco Control (ITC) Bangladesh and India Surveys, which are large, prospective cohort face-to-face surveys of adults. The Bangladesh Wave 1 (W1; 2009) Survey was conducted among a nationally representative sample of 3109 tobacco users and 2658 non-users, Wave 2 (W2; 2010) included 3108 users and 2554 non-users, and the Wave 3 sample consisted of 3275 tobacco users and 2247 non-users. The India Wave 1 Survey (2010-11) included 8051 tobacco users and 2534 non-users in four states. Respondents were asked a variety of measures of perceived risk, including perceptions of the harm of their product, perceptions of the health risks they face, and perceptions of the harmfulness of one product in comparison to another. Analyses on the data from these surveys suggested an optimistic bias among tobacco users in India and Bangladesh, both about their tobacco use in general and their specific tobacco product. Cross-sectional analyses revealed that the majority of tobacco users recognized the harms of tobacco use but underestimated the damage that would occur in the future, supporting previous evidence that tobacco users demonstrate an optimistic bias about the risks they face from their behaviour. In addition, this study found evidence of another type of optimistic bias that was present among the majority of tobacco users, which was underestimating the risk of their own tobacco product compared to others. While the majority of non-users and mixed users perceived different tobacco products to be no different in harm, the majority of users of a specific product perceived it to be less harmful than other products and less harmful compared to the perceptions of users of other products. Longitudinal findings from cigarette smokers at Wave 1 in Bangladesh who were recontacted at Wave 2 demonstrated that while cigarette smokers generally said bidis are more harmful at Wave 1, after switching to bidis at Wave 2, the majority then said there is no difference in harm. Analyses on these product switchers suggested that tobacco users who change products are more likely to subsequently change their perceptions of risk of those products to be more in line with their behaviour, supporting theories of cognitive dissonance and motivated reasoning. These findings were not replicated within the smaller samples of respondents who switched products between Waves 2 and 3, but certainly deserve further research as the majority of data from this dissertation suggest that product risk perceptions represent a biased cognition to justify one’s harmful tobacco use behaviour, which may also inform tobacco cessation interventions.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
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 ».