Does a population-based multi-factorial lifestyle intervention increase social inequality in smoking? The Inter99 study

Abstract

Introduction: The social inequality in smoking in the Western countries has been increasing. It has been suggested that the most important strategy to reduce health inequalities related to socio economic status (SEP) is to promote smoking cessation in persons with low SEP. One could fear that a smoking cessation intervention might benefit smokers with high SEP more, and thereby increase the social inequality in smoking. We wanted to investigate whether the effect differed across SEP. Methods: The study was an individual multi-factorial lifestyle intervention study with a control group, Inter99 (1999-2006), Copenhagen, Denmark. We included 1991 daily-smokers with self-reported information on education in the intervention group, and 1135 in the control group. Smokers in the intervention group were repeatedly offered individual life-style-counselling and group-based smoking cessation. We used generalised linear mixed models under the assumption of missing at random, including interaction term between intervention effect and SEP. Results: The gap in self-reported abstinence rates increased over time between persons with high and low education. Probability of abstinence was significantly higher in the intervention group than in the control group, at all follow-up-visits but the effect of the intervention changed over time. The differences in quit-rates across educational groups were not significantly different in the intervention than in the control group at any time. Conclusion: In this randomised population-based intervention study we found that smokers across all educational levels benefited from the anti-smoking intervention, and that the intervention did not increase the social inequality in smoking, as one could have feared.

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Pisinger, C. , Aadahl, M. , Toft, U. , Andreasen, A. and Jorgensen, T. (2012) Does a population-based multi-factorial lifestyle intervention increase social inequality in smoking? The Inter99 study. Open Journal of Preventive Medicine, 2, 394-402. doi: 10.4236/ojpm.2012.23057.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Lundberg, O. (1991) Causal explanations for class inequality in health—An empirical analysis. Social Science & Medicine, 32, 385-393. doi:10.1016/0277-9536(91)90339-E
[2] Marmot, M. (2005) The social environment and health. Clinical Medicine, 5, 244-248.
[3] Wagstaff, A. and van Doorslaer, E. (2000) Income inequality and health, what does the literature tell us? Annual Review of Public Health, 21, 543-567. doi:10.1146/annurev.publhealth.21.1.543
[4] Gruer, L., Hart, C.L., Gordon, D.S. and Watt, G.C. (2009) Effect of tobacco smoking on survival of men and women by social position: A 28 year cohort study. British Medical Journal, 338, b480. doi:10.1136/bmj.b480
[5] Borrell, C., Rue, M., Pasarin, M.I., et al. (2000) Trends in social class inequalities in health status, health-related behaviors, and health services utilization in a Southern European urban area (1983-1994). Preventive Medicine, 31, 691-701. doi:10.1006/pmed.2000.0751
[6] Giskes, K., Kunst, A.E., Benach, J., et al. (2005) Trends in smoking behaviour between 1985 and 2000 in nine European countries by education. Journal of Epidemiology & Community Health, 59, 395-401. doi:10.1136/jech.2004.025684
[7] Osler, M., Gerdes, L.U., Davidsen, M., et al. (2000) So- cioeconomic status and trends in risk factors for cardiovascular diseases in the Danish MONICA population, 1982-1992. Journal of Epidemiology & Community Health, 54, 108-113. doi:10.1136/jech.54.2.108
[8] Osler, M., Prescott, E., Gottschau, A., et al. (1998) Trends in smoking prevalence in Danish adults, 1964-1994. The influence of gender, age, and education. Scandinavian Journal of Social Medicine, 26, 293-298. doi:10.1177/14034948980260041101
[9] Rasmussen, M., Due, P., Damsgaard, M.T. and Holstein, B.E. (2009) Social inequality in adolescent daily smoking, has it changed over time? Scandinavian Journal of Public Health, 37, 287-294. doi:10.1177/1403494809102178
[10] Wanless, D. and Treasury, H.M. (2004) Securing good health for the whole population, Final report 2004.
[11] Pisinger, C., Vestbo, J., Borch-Johnsen, K. and Jorgensen, T. (2005) Smoking cessation intervention in a large ran- domised population-based study. The Inter99 study. Preventive Medicine, 40, 285-292. doi:10.1016/j.ypmed.2004.06.001
[12] Aadahl, M., von Huth, S.L., Toft, U., Pisinger, C. and Jorgensen, T. (2009) Does a population-based multi-factorial lifstyle intervention increase social inequality in physical activity? The Inter99 study. British Journal of Sports Medicine, 45, 209-215. doi:10.1136/bjsm.2009.064840
[13] Toft, U., Jakobsen, M., Aadahl, M., Pisinger, C. and Jorgensen, T. (2011) Does a population-based multi-factorial lifestyle intervention increase social inequality in dietary habits? The Inter99 study. Preventive Medicine, 54, 88- 93. doi:10.1016/j.ypmed.2011.10.005
[14] Jorgensen, T., Borch-Johnsen, K., Thomsen, T.F., et al. (2003) A ran-domized non-pharmacological intervention study for prevention of ischaemic heart disease, baseline results Inter99. European Journal of Preventive Cardiol- ogy, 10, 377-386. doi:10.1097/01.hjr.0000096541.30533.82
[15] The In-ter99 Steering Committee, Homepage of the Inter99 study, 2008. www.Inter99.dk
[16] Pisinger, C., Vestbo, J., Borch-Johnsen, K. and Jorgensen, T. (2005) It is possible to help smokers in early motivetional stages to quit. The Inter99 study. Preventive Medicine, 40, 278-284. doi:10.1016/S0091-7435(04)00317-2
[17] Pisinger, C., Vestbo, J., Borch-Johnsen, K., Thomsen, T. and Jorgensen, T. (2005) Acceptance of the smoking cessation in-tervention in a large population-based study, the Inter99 study. Scandinavian Journal of Public Health, 33, 138-145. doi:10.1080/14034940410028370
[18] Pisinger, C., Glumer, C., Toft, U., et al. (2008) High risk strategy in smoking cessation is feasible on a population-based level. The Inter99 study. Preventive Medicine, 46, 579-584. doi:10.1016/j.ypmed.2008.02.026
[19] Avlund, K., Holstein, B.E., Osler, M., et al. (2003) Social position and health in old age, the relevance of different indicators of social position. Scandinavian Journal of Public Health, 31, 126-136. doi:10.1080/14034940210134130
[20] DiClemente, C.C., Prochaska, J.O., Fairhurst, S.K., et al. (1991) The process of smoking cessation, an analysis of precontemplation, contemplation, and preparation stages of change. Journal of Consulting and Clinical Psychology, 59, 295-304. doi:10.1037/0022-006X.59.2.295
[21] Prochaska, J.O. and DiClemente, C.C. (1983) Stages and processes of self-change of smoking, toward an integrative model of change. Journal of Consulting and Clinical Psychology, 51, 390-395. doi:10.1037/0022-006X.51.3.390
[22] Toft, U., Kristoffersen, L.H., Lau, C., Borch-Johnsen, K. and Jorgensen, T. (2007) The dietary quality score, validation and association with cardiovascular risk factors, the Inter99 study. European Journal of Clinical Nutrition, 61, 270-278. doi:10.1038/sj.ejcn.1602503
[23] Von Huth, S.L., Borch-Johnsen, K. and Jorgensen, T. (2007) Commuting physical activity is favourably associated with biological risk factors for cardiovascular disease. European Journal of Epidemiology, 22, 771-779. doi:10.1007/s10654-007-9177-3
[24] Rose, G. (2001) Sick individuals and sick populations. International Journal of Epidemiology, 30, 427-432. doi:10.1093/ije/30.3.427
[25] Niederdeppe, J., Kuang, X., Crock, B. and Skelton, A. (2008) Media campaigns to promote smoking cessation among socioeconomically disadvantaged populations, what do we know, what do we need to learn, and what should we do now? Social Science & Medicine, 67, 1343-1355. doi:10.1016/j.socscimed.2008.06.037
[26] Siahpush, M., Wakefield, M.A., Spittal, M.J., Durkin, S.J. and Scollo, M.M. (2009) Taxation reduces social disparities in adult smoking prevalence. American Journal of Preventive Medicine, 36, 285-291. doi:10.1016/j.amepre.2008.11.013
[27] Townsend, J., Roderick, P. and Cooper, J. (1994) Cigarette smoking by socioeconomic group, sex, and age, effects of price, income, and health publicity. British Medical Journal, 309, 923-927. doi:10.1136/bmj.309.6959.923
[28] Khang, Y.H., Yun, S.C., Cho, H.J. and Jung-Choi, K. (2009) The impact of governmental antismoking policy on socioeconomic dis-parities in cigarette smoking in South Korea. Nicotine & Tobacco Research, 11, 262-269. doi:10.1093/ntr/ntn036
[29] Sheu, M.L., Hu, T.W., Kee-ler, T.E., Ong, M., Sung, H.Y. (2004) The effect of a major cigarette price change on smoking behavior in california, a zero-inflated negative binomial model. Health Economics, 13, 781-791. doi:10.1002/hec.849
[30] Peretti-Watel, P. and Constance, J. (2009) It’s all we got left. Why poor smokers are less sensitive to cigarette price increases. International Journal of Environmental Research and Public Health, 6, 608-621. doi:10.3390/ijerph6020608
[31] Cesaroni, G., Forastiere, F., Agabiti, N., et al. (2008) Effect of the Italian smoking ban on population rates of acute coronary events. Circulation, 117, 1183-1188. doi:10.1161/CIRCULATIONAHA.107.729889
[32] Woodall, A.A., Sandbach, E.J., Woodward, C.M., Aveyard, P. and Merrington, G. (2005) The partial smoking ban in licensed establishments and health inequalities in England, modelling study. British Medical Journal, 331, 488-489. doi:10.1136/bmj.38576.467292.EB
[33] Bauld, L., Judge, K. and Platt, S. (2007) Assessing the impact of smoking cessation services on reducing health inequalities in England, observational study. Tobacco Control, 16, 400-404. doi:10.1136/tc.2007.021626
[34] Frohlich, K.L. and Potvin, L. (2008) Transcending the known in public health practice, the inequality paradox, the population approach and vulnerable populations. American Journal of Public Health, 98, 216-221. doi:10.2105/AJPH.2007.114777
[35] McLaren, L., McIntyre, L., Kirkpatrick, S. (2010) Rose’s population strategy of prevention need not increase social inequalities in health. International Journal of Epidemiology, 39, 372-327. doi:10.1093/ije/dyp315
[36] Galobardes, B., Shaw, M., Lawlor, D.A., Lynch, J.W. and Davey, S.G. (2006) Indicators of socioeconomic position (part 1). Journal of Epidemiology & Community Health, 60, 7-12. doi:10.1136/jech.2004.023531
[37] Galobardes, B., Shaw, M., Lawlor, D.A., Lynch, J.W. and Davey, S.G. (2006) Indicators of socioeconomic position (part 2). Journal of Epidemiology & Community Health, 60, 95-101. doi:10.1136/jech.2004.028092
[38] Patterson, F., Jepson, C., Kaufmann, V., et al. (2003) Predictors of attendance in a randomized clinical trial of nicotine replacement therapy with behavioral counseling. Drug and Alcohol Dependence, 72, 123-131. doi:10.1016/S0376-8716(03)00194-7

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