Weight Control Belief and Its Impact on the Effectiveness of Tobacco Control Policies on Quit Attempts: Findings from the ITC 4 Country Survey

Overview

Journal Tob Control

Specialty Psychiatry

Date 2015 Feb 4

PMID 25646173

Citations 7

Authors

Ce Shang

Frank J Chaloupka

Geoffrey T Fong

Mary Thompson

Mohammad Siahpush

William Ridgeway

Affiliations

Soon will be listed here.

Abstract

Background: Weight concerns are widely documented as one of the major barriers for girls and young adult women to quit smoking. Therefore, it is important to investigate whether smokers who have weight concerns respond to tobacco control policies differently than smokers who do not in terms of quit attempts, and how this difference varies by gender and country.

Objective: This study aims to investigate, by gender and country, whether smokers who believe that smoking helps control weight are less responsive to tobacco control policies with regards to quit attempts than those who do not.

Methods: We use longitudinal data from the International Tobacco Control Policy Evaluation Project in the USA, Canada, the UK and Australia to conduct the analysis. We first constructed a dichotomous indicator for smokers who have the weight control belief and then examined the disparity in policy responsiveness in terms of quit attempts by directly estimating the interaction terms of policies and the weight control belief indicator using generalised estimating equations.

Findings: We find that weight control belief significantly attenuates the policy impact of tobacco control measures on quit attempts among US female smokers and among UK smokers. This pattern was not found among smokers in Canada and Australia.

Conclusions: Although our results vary by gender and country, the findings suggest that weight concerns do alter policy responsiveness in quit attempts in certain populations. Policy makers should take this into account and alleviate weight concerns to enhance the effectiveness of existing tobacco control policies on promoting quitting smoking.

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References

Cawley J, Markowitz S, Tauras J . Lighting up and slimming down: the effects of body weight and cigarette prices on adolescent smoking initiation. J Health Econ. 2004; 23(2):293-311. DOI: 10.1016/j.jhealeco.2003.12.003. View

Shang C, Chaloupka F, Zahra N, Fong G . The distribution of cigarette prices under different tax structures: findings from the International Tobacco Control Policy Evaluation (ITC) Project. Tob Control. 2013; 23 Suppl 1:i23-9. PMC: 4009360. DOI: 10.1136/tobaccocontrol-2013-050966. View

Aubin H, Berlin I, Smadja E, West R . Factors associated with higher body mass index, weight concern, and weight gain in a multinational cohort study of smokers intending to quit. Int J Environ Res Public Health. 2009; 6(3):943-57. PMC: 2672403. DOI: 10.3390/ijerph6030943. View

Serdula M, Byers T, Mokdad A, Simoes E, Mendlein J, Coates R . The association between fruit and vegetable intake and chronic disease risk factors. Epidemiology. 1996; 7(2):161-5. DOI: 10.1097/00001648-199603000-00010. View

Chaloupka F, Straif K, Leon M . Effectiveness of tax and price policies in tobacco control. Tob Control. 2010; 20(3):235-8. DOI: 10.1136/tc.2010.039982. View

Pisinger C, Jorgensen T . Weight concerns and smoking in a general population: the Inter99 study. Prev Med. 2007; 44(4):283-9. DOI: 10.1016/j.ypmed.2006.11.014. View

Siahpush M, Singh G, Tibbits M, Pinard C, Shaikh R, Yaroch A . It is better to be a fat ex-smoker than a thin smoker: findings from the 1997-2004 National Health Interview Survey-National Death Index linkage study. Tob Control. 2013; 23(5):395-402. DOI: 10.1136/tobaccocontrol-2012-050912. View

John U, Hanke M, Rumpf H, Thyrian J . Smoking status, cigarettes per day, and their relationship to overweight and obesity among former and current smokers in a national adult general population sample. Int J Obes (Lond). 2005; 29(10):1289-94. DOI: 10.1038/sj.ijo.0803028. View

Kvaavik E, Meyer H, Tverdal A . Food habits, physical activity and body mass index in relation to smoking status in 40-42 year old Norwegian women and men. Prev Med. 2003; 38(1):1-5. DOI: 10.1016/j.ypmed.2003.09.020. View

10.

Twardella D, Loew M, Rothenbacher D, Stegmaier C, Ziegler H, Brenner H . The impact of body weight on smoking cessation in German adults. Prev Med. 2005; 42(2):109-13. DOI: 10.1016/j.ypmed.2005.11.008. View

11.

Fong G, Cummings K, Borland R, Hastings G, Hyland A, Giovino G . The conceptual framework of the International Tobacco Control (ITC) Policy Evaluation Project. Tob Control. 2006; 15 Suppl 3:iii3-11. PMC: 2593053. DOI: 10.1136/tc.2005.015438. View

12.

Zeger S, Liang K, Albert P . Models for longitudinal data: a generalized estimating equation approach. Biometrics. 1988; 44(4):1049-60. View

13.

Tauras J, Huang J, Chaloupka F . Differential impact of tobacco control policies on youth sub-populations. Int J Environ Res Public Health. 2013; 10(9):4306-22. PMC: 3799499. DOI: 10.3390/ijerph10094306. View

14.

Shang C, Chaloupka F, Kostova D . Who quits? An overview of quitters in low- and middle-income countries. Nicotine Tob Res. 2013; 16 Suppl 1:S44-55. DOI: 10.1093/ntr/ntt179. View

15.

Sanchez-Johnsen L, Carpentier M, King A . Race and sex associations to weight concerns among urban African American and Caucasian smokers. Addict Behav. 2010; 36(1-2):14-7. PMC: 3402031. DOI: 10.1016/j.addbeh.2010.08.001. View

16.

Chiolero A, Faeh D, Paccaud F, Cornuz J . Consequences of smoking for body weight, body fat distribution, and insulin resistance. Am J Clin Nutr. 2008; 87(4):801-9. DOI: 10.1093/ajcn/87.4.801. View

17.

Pomerleau C, Zucker A, Stewart A . Characterizing concerns about post-cessation weight gain: results from a national survey of women smokers. Nicotine Tob Res. 2001; 3(1):51-60. DOI: 10.1080/14622200020032105. View

18.

Chaloupka F, Pacula R . Sex and race differences in young people's responsiveness to price and tobacco control policies. Tob Control. 2000; 8(4):373-7. PMC: 1759747. DOI: 10.1136/tc.8.4.373. View

19.

Borrelli B, Mermelstein R . The role of weight concern and self-efficacy in smoking cessation and weight gain among smokers in a clinic-based cessation program. Addict Behav. 1998; 23(5):609-22. DOI: 10.1016/s0306-4603(98)00014-8. View

20.

Kostova D, Chaloupka F, Shang C . A duration analysis of the role of cigarette prices on smoking initiation and cessation in developing countries. Eur J Health Econ. 2014; 16(3):279-88. DOI: 10.1007/s10198-014-0573-9. View