Association between long-term smoking and leisure-time physical inactivity: a cohort study among Finnish twins with a 35-year follow-up
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To investigate longitudinal associations of smoking and a change in smoking status with leisure-time physical inactivity. In addition, to control whether familial confounding (genetics and shared environment) influences the associations.
Data were based on the population-based Finnish Adult Twin Cohort of 5254 twin individuals born in 1945–1957 (41% men) and who participated in all four surveys over a 35-year follow-up (1975–2011). Logistic and conditional logistic regression models with multiple covariates were used for analyses.
Compared to never-smokers, long-term daily smokers (1975–1990) had the highest likelihood for both long-term inactivity and to change into inactive by 2011. Recurrent smoking was associated with long-term inactivity. Instead, in comparison to persistent daily smokers, quitting smoking decreased the likelihood of becoming physically inactive at leisure time. The associations remained in the analyses which accounted for multiple covariates and/or familial confounding.
Daily smoking increases the likelihood of remaining or becoming physically inactive over the decades. Our results emphasize not only the importance of preventing smoking initiation, but also to support early smoking cessation in promotion of lifelong physical activity.
KeywordsAdults Follow-up cohort study Exercise Physical inactivity Smoking Twins
All authors meet the ICMJE authorship requirements as follows: (1) substantial contributions to conception and design (MP, JK, KS, PS, TK, AR) OR the acquisition of data (JK), AND the analysis and interpretation of data (all authors: MP, JK, KS, PS, TK, AR); AND (2) the drafting of the article or its critical revision for important intellectual content (all authors: MP, JK, KS, PS, TK, AR); AND (3) final approval of the version to be published (all authors: MP, JK, KS, PS, TK, AR). All authors (MP, JK, KS, PS, TK, AR) also agreed be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
Compliance with ethical standards
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The study protocol was approved by the Ethical Committee of the University of Helsinki, Department of Public Health. This present analysis did not involve any contact with the study participants and only used existing epidemiological data.
This work was supported by the Academy of Finland Centre of Excellence in Complex Disease Genetics (Grants 213506 and 129680 to JK), the Academy of Finland (Grants 265240 and 263278 to JK) for data collection, and the Ministry for Education and Culture of Finland (to AR) for analyzing and reporting the results. KS was supported by the Academy of Finland (Grant 266592).
Conflict of interest
JK reports personal fees from Pfizer unrelated to the submitted work. TK reports personal fees from Pfizer for consulting on nicotine dependence but unrelated to the submitted work. None of the other authors have anything to declare.
- Kaprio J, Koskenvuo M (1988) A prospective study of psychological and socioeconomic characteristics, health behavior and morbidity in cigarette smokers prior to quitting compared to persistent smokers and non-smokers. J Clin Epidemiol 41(2):139–150. doi: 10.1016/0895-4356(88)90088-1 CrossRefPubMedGoogle Scholar
- Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT (2012) Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 380(9838):219–229. doi: 10.1016/S0140-6736(12)61031-9 CrossRefPubMedPubMedCentralGoogle Scholar
- Lim SS et al (2012) A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380(9859):2224–2260. doi: 10.1016/S0140-6736(12)61766-8 CrossRefPubMedPubMedCentralGoogle Scholar
- World Health Organization (2011) Global status report on noncommunicable diseases 2010. WHO Press, GenevaGoogle Scholar