Home The Effects of Smoking Cessation on Weight Gain: New Evidence Using Workplace Smoking Bans
Article
Licensed
Unlicensed Requires Authentication

The Effects of Smoking Cessation on Weight Gain: New Evidence Using Workplace Smoking Bans

  • Jason M. Fletcher EMAIL logo
Published/Copyright: November 7, 2014

Abstract

Both tobacco use and obesity are among the most important and costly health challenges faced in developed countries. Unfortunately, they may be inversely linked. While policy interventions that have placed limits on tobacco use have increased substantially over time, one unintended consequence may be to increase obesity rates. Issues of selection and unobserved heterogeneity make it difficult to empirically assess the relationship between the two health outcomes. Additionally, there may be heterogeneous policy effects by cessation cause – smoking bans or medical treatments or tobacco prices. This paper focuses on the effects of a rapidly expanding policy by using within-individual differences in exposure to workplace smoking bans to estimate the impact of smoking cessation on weight gain using a large study of over 5000 White and Black respondents followed since 1986. Findings suggest that individuals affected by the smoking bans gained more weight in the short-term than suggested by OLS estimates.


Corresponding author: Jason M. Fletcher, La Follette School of Public Affairs, University of Wisconsin-Madison, 1225 Observatory Dr, Madison, WI 53706, USA, e-mail:

Acknowledgments

The author thanks Sean Coady for assistance with the occupation code data for wave 6 of the survey and Daniel Eisenberg and Jody Sindelar for helpful comments. Coronary Artery Risk Development in Young Adults (CARDIA) is conducted and supported by the NHLBI in collaboration with the CARDIA Study Investigators. This Manuscript was prepared using a limited access dataset obtained from the NHLBI and does not necessarily reflect the opinions or views of the CARDIA or the NHLBI.

Appendix Tables

Table 1A

Descriptive Statistics Comparing Analysis Sample and Full Sample.

VariableObs.Analysis SampleFull Sample
MeanStd. Dev.Obs.MeanStd. Dev.
Weight10677176.3441.6625562168.5740.33
BMI1065427.276.002550926.225.84
Obese106540.260.44255090.210.40
Overweight106540.580.49255090.490.50
Smoke106770.390.49255990.400.49
Age1067733.435.142559930.055.98
Black106770.450.50255990.490.50
Male106770.460.50255990.450.50
Education1067714.192.192555013.882.20
Married106770.480.50255110.390.49
Maternal Education1067713.281.932555413.221.90
Maternal Weight Category106774.521.43252854.491.45
Maternal Smoke106770.500.50255290.500.49
Wave 4106770.230.42255990.160.36
Wave 5106770.270.45255990.150.36
Wave 6106770.250.43255990.140.35
Full Time Employment106770.870.34255090.700.46
Manager/Professional106770.410.49255500.310.46
Sales/Admin106770.340.47255500.340.47
Service106770.110.32255500.150.35
Farming106770.060.23255500.060.23
Laborers106770.060.23255500.100.30
Unknown106770.020.15255500.050.21
Missing Data106770.080.26255990.100.29
No Smoking Ban106770.130.34116770.140.35
Limits Smoking106770.310.46116770.310.46
Prohibits Smoking106770.560.50116770.550.50
Table 2A

Descriptive Statistics for Analysis Sample Males vs. Females.

VariableMalesFemales
Obs.MeanStd.Obs.MeanStd.
Weight4939189.6135.545738164.9143.13
BMI493227.024.57572227.497.00
Obese49320.220.4157220.300.46
Overweight49320.620.4857220.550.50
Smoke49390.450.5057380.340.48
Age493933.585.07573833.295.20
Black49390.390.4957380.510.50
Male49391.000.0057380.000.00
Education493914.292.32573814.092.07
Married49390.530.5057380.440.50
Maternal Education493913.391.94573813.201.92
Maternal Weight Category49394.481.3757384.551.47
Maternal Smoke49390.480.4957380.510.50
Wave 449390.230.4257380.240.42
Wave 549390.280.4557380.270.44
Wave 649390.260.4457380.250.43
Full Time Employment49390.910.2857380.820.38
Manager/Professional49390.420.4957380.400.49
Sales/Admin49390.260.4457380.410.49
Service49390.110.3157380.110.32
Farming49390.100.3057380.020.15
Laborers49390.080.2757380.040.19
Unknown49390.040.1957380.010.11
Missing Data49390.080.2757380.070.26
No Smoking Ban49390.180.3857380.090.29
Limits Smoking49390.330.4757380.300.46
Prohibits Smoking49390.500.5057380.610.49
Table 3A

Smoking Restrictions Over Time. [13]

WaveYearNo LimitationsLimitationsProhibition
31990–199118.66%39.32%42.02%
41992–199312.96%33.87%53.17%
51995–199613.11%26.13%60.76%
62000–200110.89%36.89%63.11%
Table 4A

Descriptive Statistics Separated by Workplace Type.

VariableNo LimitationsLimitationsProhibition
Obs.MeanStd.Obs.MeanStd.Obs.MeanStd.
Weight1392177.1439.233344177.6941.095941175.3942.50
BMI139126.865.66334027.395.85592327.306.15
Obese13910.230.4233400.270.4459230.260.44
Overweight13910.570.5033400.590.4959230.580.49
Smoke13920.510.5033440.460.5059410.330.47
Age139232.385.12334432.685.08594134.095.09
Black13920.450.5033440.540.5059410.410.49
Male13920.620.4933440.490.5059410.410.49
Education139213.562.13334413.792.09594114.552.19
Married13920.430.5033440.450.5059410.510.50
Maternal Education139213.241.90334413.021.82594113.441.98
Maternal Weight Category13924.501.4333444.541.4559414.511.41
Maternal Smoke13920.520.5033440.490.4959410.500.50
Wave 413920.220.4233440.250.4359410.220.42
Wave 513920.250.4333440.230.4259410.300.46
Wave 613920.190.4033440.210.4159410.290.45
Full Time Employment13920.820.3933440.880.3259410.870.34
Manager/Professional13920.290.4533440.330.4759410.490.50
Sales/Admin13920.250.4333440.370.4859410.350.48
Service13920.190.3933440.140.3559410.080.27
Farming13920.130.3333440.060.2559410.040.18
Laborers13920.100.3033440.070.2659410.030.18
Unknown13920.040.1933440.030.1659410.020.13
Missing Data13920.120.3233440.080.2759410.060.24
No Smoking Ban139210334400594100
Limits Smoking139200334410594100
Prohibits Smoking139200334400594110
Table 5A

Descriptive Statistics for Analysis Sample and Ever-Smokers.

VariableObs.MeanStd. Dev.Obs.MeanStd.
Weight10677176.3441.666455177.0440.73
BMI1065427.276.00644227.195.83
Obese106540.260.4464420.250.43
Overweight106540.580.4964420.580.49
Smoke106770.390.4964550.650.48
Age1067733.435.14645533.375.13
Black106770.450.5064550.430.49
Male106770.460.5064550.510.50
Education1067714.192.19645513.982.15
Married106770.480.5064550.460.50
Maternal Education1067713.281.93645513.291.93
Maternal Weight Category106774.521.4364554.451.41
Maternal Smoke106770.500.5064550.520.49
Wave 4106770.230.4264550.230.42
Wave 5106770.270.4564550.270.45
Wave 6106770.250.4364550.250.44
Full Time Employment106770.870.3464550.860.35
Manager/Professional106770.410.4964550.390.49
Sales/Admin106770.340.4764550.330.47
Service106770.110.3264550.120.33
Farming106770.060.2364550.060.25
Laborers106770.060.2364550.060.25
Unknown106770.020.1564550.030.17
Missing Data106770.080.2664550.080.27
No Smoking Ban106770.130.3464550.150.36
Limits Smoking106770.310.4664550.340.47
Prohibits Smoking106770.560.5064550.510.50
Table 6A

Estimates of the Effects of Smoking Cessation on Weight Outcomes Combined IV-FE Evidence: LIML and GMM Specifications.

OutcomeBMIWeightOverweightObeseBMIWeightOverweightObese
LIMLLIMLLIMLLIMLGMMGMMGMMGMM
SampleEver SmokersEver SmokersEver SmokersEver SmokersEver SmokersEver SmokersEver SmokersEver Smokers
Current Smoker–4.242**–29.893**–0.102–0.441–4.231**–29.900**–0.101–0.373
(2.123)(14.206)(0.255)(0.320)(2.116)(14.187)(0.247)(0.243)
Married0.446***2.842***0.051***0.024*0.447***2.842***0.051***0.026**
(0.119)(0.799)(0.015)(0.014)(0.119)(0.798)(0.015)(0.013)
Wave 4 Dummy0.515***3.956***0.050***0.033***0.515***3.956***0.049***0.033***
(0.072)(0.480)(0.009)(0.009)(0.072)(0.480)(0.009)(0.008)
Wave 5 Dummy1.117***7.796***0.093***0.057***1.118***7.796***0.093***0.059***
(0.105)(0.701)(0.012)(0.014)(0.105)(0.701)(0.012)(0.012)
Wave 6 Dummy2.227***15.010***0.183***0.113***2.227***15.010***0.183***0.116***
(0.147)(0.981)(0.017)(0.021)(0.147)(0.981)(0.017)(0.017)
Full Time Employment0.0360.411–0.0120.0070.0360.411–0.0110.006
(0.123)(0.823)(0.014)(0.014)(0.122)(0.821)(0.014)(0.013)
Sales–0.190*–1.228*–0.014–0.017–0.190*–1.228*–0.014–0.016
(0.104)(0.704)(0.013)(0.012)(0.104)(0.704)(0.013)(0.011)
Service–0.329**–2.221**0.004–0.020–0.328**–2.221**0.004–0.018
(0.158)(1.069)(0.019)(0.019)(0.158)(1.069)(0.019)(0.018)
Farming–0.321*–2.206*0.009–0.021–0.321*–2.207*0.009–0.019
(0.182)(1.251)(0.022)(0.022)(0.182)(1.251)(0.022)(0.021)
Laborers–0.348*–2.421*–0.001–0.037–0.347*–2.422*–0.001–0.034
(0.193)(1.321)(0.024)(0.024)(0.193)(1.320)(0.024)(0.022)
Unknown–0.523**–3.580**–0.015–0.032–0.523**–3.580**–0.014–0.028
(0.261)(1.733)(0.033)(0.035)(0.261)(1.732)(0.033)(0.032)
Observations69386958693869386938695869386938
Number of pid22322237223222322232223722322232

Robust standard errors in parentheses (clustered at the person level), ***p<0.01, **p<0.05.

Appendix Figure 1

Figure 1 Survey question of weight status of mother during childhood (9 categories).
Figure 1

Survey question of weight status of mother during childhood (9 categories).

References

Bickel, W. K., A. L. Odum and G. J. Madden (1999) “Impulsivity and Cigarette Smoking: Delay Discounting in Current, Never, and Ex-smokers,” Psychopharmacology, 146(4):447–454.10.1007/PL00005490Search in Google Scholar

Caan, B., A. Coates, C. Schaefer, L. Finkler, B. Sternfeld, and K. Corbett (1996) “Women Gain Weight 1 Year After Smoking Cessation While Dietary Intake Temporarily Increases,” Journal of the American Dietetic Association, 96(11):1150–1155.10.1016/S0002-8223(96)00296-9Search in Google Scholar

Carpenter, C. (2007) “How Do Workplace Smoking Laws Work? Quasi-Experimental Evidence from Local Laws in Ontario, Canada.” NBER Working Paper 13133.10.3386/w13133Search in Google Scholar

Cawley, J., S. Markowitz and J. Taurus (2004) “Lighting Up and Slimming Down: The Effects of Body Weight and Cigarette Prices on Adolescent Smoking Initiation,” Journal of Health Economics, 23:293–311.10.1016/j.jhealeco.2003.12.003Search in Google Scholar

Centers for Disease Control and Prevention. (2005) “Annual Smoking–Attributable Mortality, Years of Potential Life Lost, and Productivity Losses – United States, 1997–2001,” Morbidity and Mortality Weekly Report [serial online], 54(25):625–628. Available from: http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5425a1.htm.Search in Google Scholar

Chou, S.-Y., M. Grossman and H. Saffer (2004) “An Economic Analysis of Adult Obesity: Results from the Behavioral Risk Factor Surveillance System,” Journal of Health Economics, 23:565–587.10.1016/j.jhealeco.2003.10.003Search in Google Scholar

Chou, S.-Y., M. Grossman and H. Saffer (2006) “Reply to Jonathan Gruber and Michael Frakes,” Journal of Health Economics, 25:389–393.10.1016/j.jhealeco.2005.12.004Search in Google Scholar

Cinciripini, P. M., D. W. Wetter, R. T. Fouladi, J. A. Blalock, B. L. Carter, L. G. Cinciripini and W. F. Baile (2003) “The Effects of Depressed Mood on Smoking Cessation: Mediation by Postcessation Self-Efficacy,” Journal of Consulting and Clinical Psychology, 71(2):292–301.10.1037/0022-006X.71.2.292Search in Google Scholar

Clair, C., N. A. Riqotti, B. Porneala, C. S. Fox, R. B. D’Aqostino, M. J. Pencina, and J. B. Meiqs (2013) “Association of Smoking Cessation and Weight Change with Cardiovascular Disease among Adults with and without Diabetes,” Journal American Medical Association, 309(10):1014–1021.10.1001/jama.2013.1644Search in Google Scholar

Eisenberg, D. and B. Quinn (2006) “Estimating the Effect of Smoking on Weight Gain: An Instrumental Variable Approach,” Health Services Research, 41(6):2255–2266.10.1111/j.1475-6773.2006.00594.xSearch in Google Scholar

Evans, W., M. Farrelly and E. Montgomery (1999). “Do Workplace Smoking Bans Reduce Smoking?,” American Economic Review, 89(4):728–747.10.1257/aer.89.4.728Search in Google Scholar

Farrelly, M.C., W. N. Evans and A. E. Sfekas (1999) “The Impact of Workplace Smoking Bans: Results from a National Survey,” Tob Control, 1999;8:272–277.Search in Google Scholar

Fichtenberg, C. and S. Glantz (2002) “Effects of Smoke-Free Workplaces on Smoking Behaviour: Systematic Review,” British Medical Journal, 325:188.10.1136/bmj.325.7357.188Search in Google Scholar

Finkelstein, E. A., I. C. Fiebelkorn and G. Wang (2003) “National Medical Spending Attributable to Overweight and Obesity: How Much, and Who’s Paying?,” Health Affairs, W3:219–226.10.1377/hlthaff.W3.219Search in Google Scholar

Flegal, K. M., M. D. Carroll, C. L. Ogden and C. L. Johnson (2002) “Prevalence and Trends in Obesity Among US Adults, 1999–2000,” Journal of the American Medical Association, 288:1723–1727.10.1001/jama.288.14.1723Search in Google Scholar

Gruber, J. and M. Frakes (2006). “Does Falling Smoking Lead to Rising Obesity?,” Journal of Health Economics, 25:183–197.10.1016/j.jhealeco.2005.07.005Search in Google Scholar

Imbens, G. W. and J. D. Angrist (1994) “Identification and Estimation of Local Average Treatment Effects,” Econometrica, 62(2):467–475.10.2307/2951620Search in Google Scholar

Klesges, R, C., A. W. Meyers, L. M. Klesges and M. E. LaVasque (1989) “Smoking, Body Weight, and Their Effects on Smoking Behavior: A Comprehensive Review of the Literature,” Psychological Bulletin, 106(2):204–230.10.1037/0033-2909.106.2.204Search in Google Scholar

McGinnis, J. M. and W. H. Foege (1993) “Actual Causes of Death in the United States,” Journal of the American Medical Association, 270:2207–2212.10.1001/jama.1993.03510180077038Search in Google Scholar

Meyers, A. W., R. C. Klesges, S. E. Winders, K. D. Ward, B. Ann Peterson and L. H. Eck (1997) “Are Weight Concerns Predictive of Smoking Cessation? A Prospective Analysis,” Journal of Consulting and Clinical Psychology, 65(3):448–452.10.1037/0022-006X.65.3.448Search in Google Scholar

O’Hara, P., J. Connett, W. Lee, M. Nides, R. Murray, R. Wise (1998) “Early and Late Weight Gain Following Smoking Cessation in the Lung Health Study,” American Journal of Epidemiology, 148(9):821–830.10.1093/oxfordjournals.aje.a009706Search in Google Scholar

Rashad, I. and M. Grossman (2004) “A Realistic Look at Obesity,” Public Interest, 156:104–112.Search in Google Scholar

Robb, C. A., S. J. Huston and M. S. Finke (2008) “The Mitigating Influence of Time Preference on the Relation between Smoking and BMI Scores,” International Journal of Obesity 32;1670–1677.10.1038/ijo.2008.151Search in Google Scholar

Staiger, D. and J. H. Stock (1997) “Instrumental Variables Regression with Weak Instruments,” Econometrica, 65(3):557–586.10.2307/2171753Search in Google Scholar

Published Online: 2014-11-7
Published in Print: 2014-9-1

©2014 by De Gruyter

Downloaded on 16.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/fhep-2013-0004/html
Scroll to top button