Do tobacco regulatory and economic factors influence smoking cessation outcomes? A post-hoc analysis of the multinational EAGLES randomised controlled trial

被引:1
作者
Daniel, Belinda [1 ,2 ]
Lawrence, David E. [3 ]
McKenna, Benjamin S. [1 ,4 ]
Saccone, Phillip [5 ]
McRae, Thomas [6 ]
Evins, A. Eden [7 ,8 ]
Anthenelli, Robert M. [1 ]
机构
[1] Univ Calif San Diego Hlth Sci, Psychiat, La Jolla, CA 92121 USA
[2] Naval Med Ctr San Diego, San Diego, CA USA
[3] Pfizer Inc, Global Biometr & Data Management, New York, NY USA
[4] Vet Affairs San Diego Healthcare Syst, Psychiat, San Diego, CA USA
[5] Pfizer Inc, Internal Med, New York, NY USA
[6] Pfizer Inc, Global Prod Dev, New York, NY USA
[7] Massachusetts Gen Hosp, Psychiat, Boston, MA USA
[8] Harvard Med Sch, Boston, MA USA
来源
BMJ OPEN | 2024年 / 14卷 / 09期
关键词
health policy; international health services; health economics; NICOTINE DEPENDENCE; VARENICLINE; PREDICTORS; COUNTRIES; TRENDS;
D O I
10.1136/bmjopen-2023-079092
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction We previously reported global regional differences in smoking cessation outcomes, with smokers of US origin having lower quit rates than smokers from some other countries. This post-hoc analysis examined global regional differences in individual-level and country-level epidemiological, economic and tobacco regulatory factors that may affect cessation outcomes.Methods EAGLES (Evaluating Adverse Events in a Global Smoking Cessation Study) was a randomised controlled trial that evaluated first-line cessation medications and placebo in 8144 smokers with and without psychiatric disorders from 16 countries across seven regions. Generalised linear and stepwise logistic regression models that considered pharmacotherapy treatment, psychiatric diagnoses, traditional individual-level predictors (eg, demographic and smoking characteristics) and country-specific smoking prevalence rates, gross domestic product (GDP) per capita, relative cigarette cost and WHO-derived MPOWER scores were used to predict 7-day point prevalence abstinence at the end of treatment.Results In addition to several traditional predictors, three of four country-level variables predicted short-term abstinence: GDP (0.54 (95% CI 0.47, 0.63)), cigarette relative income price (0.62 (95% CI 0.53, 0.72)) and MPOWER score (1.03 (95% CI 1.01, 1.06)). Quit rates varied across regions (22.0% in Australasia to 55.9% in Mexico). With northern North America (USA and Canada) as the referent, the likelihood of achieving short-term abstinence was significantly higher in Western Europe (OR 1.4 (95% CI 1.14, 1.61)), but significantly lower in Eastern Europe (0.39 (95% CI 0.22, 0.69)) and South America (0.17 (95% CI 0.08, 0.35)).Conclusions Increased tobacco regulation was associated with enhanced quitting among participants in the EAGLES trial. Paradoxically, lower GDP, and more affordable cigarette pricing relative to a country's GDP, were also associated with higher odds of quitting. Geographical region was also a significant independent predictor.Trial registration number ClinicalTrials.gov, NCT01456936.
引用
收藏
页数:10
相关论文
共 39 条
  • [1] [Anonymous], WHO report on the global tobacco epidemic, 2017: monitoring tobacco use and prevention policies
  • [2] [Anonymous], 2022, GDP per capita (current US$) - Romania Internet
  • [3] [Anonymous], 2019, WHO REPORT GLOBAL TO
  • [4] Neuropsychiatric safety and efficacy of varenicline, bupropion, and nicotine patch in smokers with and without psychiatric disorders (EAGLES): a double-blind, randomised, placebo-controlled clinical trial
    Anthenelli, Robert M.
    Benowitz, Neal L.
    West, Robert
    St Aubin, Lisa
    McRae, Thomas
    Lawrence, David
    Ascher, John
    Russ, Cristina
    Krishen, Alok
    Evins, A. Eden
    [J]. LANCET, 2016, 387 (10037) : 2507 - 2520
  • [5] Age as a predictor of quit attempts and quit success in smoking cessation: findings from the International Tobacco Control Four-Country survey (2002-14)
    Arancini, Lauren
    Borland, Ron
    Le Grande, Michael
    Mohebbi, Mohammadreza
    Dodd, Seetal
    Dean, Olivia M.
    Berk, Michael
    McNeill, Ann
    Fong, Geoffrey T.
    Cummings, K. Michael
    [J]. ADDICTION, 2021, 116 (09) : 2509 - 2520
  • [6] Asma S., 2015, The GATS Atlas
  • [7] Global trends and projections for tobacco use, 1990-2025: an analysis of smoking indicators from the WHO Comprehensive Information Systems for Tobacco Control
    Bilano, Ver
    Gilmour, Stuart
    Moffiet, Trevor
    d'Espaignet, Edouard Tursan
    Stevens, Gretchen A.
    Commar, Alison
    Tuyl, Frank
    Hudson, Irene
    Shibuya, Kenji
    [J]. LANCET, 2015, 385 (9972) : 966 - 976
  • [8] THE AGGRESSION QUESTIONNAIRE
    BUSS, AH
    PERRY, M
    [J]. JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, 1992, 63 (03) : 452 - 459
  • [9] Factors associated with abstinence after a recent smoking cessation attempt across 28 European Union member states
    Cheung, Chung-Mei M.
    Vardavas, Constantine, I
    Filippidis, Filippos T.
    [J]. TOBACCO PREVENTION & CESSATION, 2021, 7
  • [10] Tobacco control environment: cross- sectional survey of policy implementation, social unacceptability, knowledge of tobacco health harms and relationship to quit ratio in 17 low-income, middle-income and high- income countries
    Chow, Clara K.
    Corsi, Daniel J.
    Gilmore, Anna B.
    Kruger, Annamarie
    Igumbor, Ehimario
    Chifamba, Jephat
    Yang, Wang
    Wei, Li
    Iqbal, Romaina
    Mony, Prem
    Gupta, Rajeev
    Vijayakumar, Krishnapillai
    Mohan, V.
    Kumar, Rajesh
    Rahman, Omar
    Yusoff, Khalid
    Ismail, Noorhassim
    Zatonska, Katarzyna
    Altuntas, Yuksel
    Rosengren, Annika
    Bahonar, Ahmad
    Yusufali, AfzalHussein
    Dagenais, Gilles
    Lear, Scott
    Diaz, Rafael
    Avezum, Alvaro
    Lopez-Jaramillo, Patricio
    Lanas, Fernando
    Rangarajan, Sumathy
    Teo, Koon
    McKee, Martin
    Yusuf, Salim
    [J]. BMJ OPEN, 2017, 7 (03):