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Unraveling the Relationship Between Smoking and Weight: The Role of Sedentary Behavior

Overview
Journal J Obes
Publisher Wiley
Specialty Endocrinology
Date 2011 Oct 1
PMID 21961058
Citations 30
Authors
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Abstract

Research has shown that current smokers have a lower mean body mass index (BMI) than never and former smokers, with former smokers having the highest mean BMI. A number of physiological mechanisms have been hypothesized to explain this pattern, but few studies have explored the possible role of behavioral factors. Using data from the cross-sectional National Health and Nutrition Examination Survey 1999-2006, this descriptive study explored the associations among smoking status, sedentary behavior, and two anthropometric measures (BMI and waist circumference (WC)). Sedentary behavior was significantly higher among current smokers compared to never and former smokers; former smokers had higher levels of sedentary behavior compared to never smokers. The association between smoking status and anthropometric outcomes was moderated by sedentary behavior, with current smokers evidencing higher BMI and WC at higher levels of sedentary behavior compared to lower levels of sedentary behavior. Results are discussed in terms of their implications for interventions, particularly with respect to postcessation weight gain.

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References
1.
. Smoking-attributable mortality, years of potential life lost, and productivity losses--United States, 2000-2004. MMWR Morb Mortal Wkly Rep. 2008; 57(45):1226-8. View

2.
Bamia C, Trichopoulou A, Lenas D, Trichopoulos D . Tobacco smoking in relation to body fat mass and distribution in a general population sample. Int J Obes Relat Metab Disord. 2004; 28(8):1091-6. DOI: 10.1038/sj.ijo.0802697. View

3.
Bankoski A, Harris T, McClain J, Brychta R, Caserotti P, Chen K . Sedentary activity associated with metabolic syndrome independent of physical activity. Diabetes Care. 2011; 34(2):497-503. PMC: 3024375. DOI: 10.2337/dc10-0987. View

4.
Prochaska J, Spring B, Nigg C . Multiple health behavior change research: an introduction and overview. Prev Med. 2008; 46(3):181-8. PMC: 2288583. DOI: 10.1016/j.ypmed.2008.02.001. View

5.
Filozof C, Fernandez Pinilla M, Fernandez-Cruz A . Smoking cessation and weight gain. Obes Rev. 2004; 5(2):95-103. DOI: 10.1111/j.1467-789X.2004.00131.x. View