Impacts of Exposure to Work on Smoking and Older Adults ......adult smokers. • Currently smoking...

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Impacts of Early Exposure to Work on Smoking Initiation Among Adolescents and Older Adults: the ADD Health Survey David J. Lee, PhD University of Miami Miller School of Medicine Department of Public Health Sciences

Transcript of Impacts of Exposure to Work on Smoking and Older Adults ......adult smokers. • Currently smoking...

Page 1: Impacts of Exposure to Work on Smoking and Older Adults ......adult smokers. • Currently smoking rates are: • 1.2% in the 12−13 year olds • 13.6% in 16−17 year olds • 31.8%

Impacts of Early Exposure to Work on Smoking Initiation Among Adolescents and 

Older Adults: the ADD Health Survey

David J. Lee, PhD 

University of Miami Miller School of Medicine Department of Public Health Sciences

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Background

• Trends in smoking behaviors among adolescents and young adults have not paralleled the steady decline in smoking trends among US adult smokers.

• Currently smoking rates are:• 1.2% in the 12−13 year olds• 13.6% in 16−17 year olds • 31.8% in young adults (18–25 years of age) 

USDHHS, The Health Consequences of Smoking—50 Years of Progress: A Report of the Surgeon General, in Chapter 13. Patterns of Tobacco Use Among U.S. Youth, Young Adults, and Adults 2014;  Flay, B.R., Youth tobacco use: risks, patterns, and control. Nicotine addiction: Principles and management, 1993: p. 365‐384; Addictive Behaviors, 1987. 12(4): p. 319‐329.

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Background

• There are SES, environmental and psychosocial factors which increase the risk of experimentation and progression to smoking:

• Lower socioeconomic status indicators • Peer exposure • Cigarette accessibility  • Rebelliousness and antisocial behavior • Emotional distress/low self esteem• Use of other substances • Poor school achievement • family and school dis‐connectedness  

J Subst Abuse, 1992. 4(3): p. 219‐34; Am J Prev Med, 1997. 13(3): p. 167‐74; Addict Behav, 2002. 27(2): p. 227‐40; Drug Alcohol Depend, 2002. 66(3): p. 303‐14; Am J Public Health, 1998. 88(10): p. 1518‐22; Addiction, 2002. 97(5): p. 517‐31; J Subst Abuse, 1997. 9: p. 241‐55; Addict Behav, 1995. 20(4): p. 517‐24; Br J Addict, 1992. 87(12): p. 1711‐24; JAMA, 1997. 278(10): p. 823‐32 

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Background

• The role that early employment exposures play in the risk of experimentation and progression to regular smoking in adolescence and young adulthood has produced mixed results for:

• Employment status• Type of employment • Work intensity 

Developmental Psychology, 1991. 27(2): p. 304‐313; 1993. 29(2): p. 171‐180; JOEM, 2011. 53(2): p. 196;Tob Control, 2005. 14(3): p. 181‐5; Nicotine & Tobacco Research, 2007. 9(6): p. 687‐697; Child Development, 1996. 67(3): p. 1243‐1261.

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Objective• Taking a life course 

perspective we examine the effects of work characteristics on smoking behaviors among adolescents and young adults

http://www.loc.gov/pictures/item/oem2002002747/pp/http://www.loc.gov/pictures/item/oem2002004311/pp/

http://www.loc.gov/pictures/item/oem2002004187/pp/

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http://www.cpc.unc.edu/projects/addhealth/design/slideshow

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http://www.cpc.unc.edu/projects/addhealth/design/slideshow

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Definition of Outcomes

• Time to first cigarette‐ “Have you ever tried cigarette smoking, even just 1 or 2 puffs?”  • Yes= Smoking Experimentation

• Current Smoker‐ “During the past 30 days, on how many days did you smoke cigarettes?” • 1 or more days= current 

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Control Variables• Male sex

• Age in years

• Hispanic ethnicity

• Race (black, Asian, other, white (reference))

• Number of best friends who smoke at Wave I & II

• Parent smoked at Wave I*

• Parent income at Wave I* (100s of $)

• Parent high school education at Wave I*

* parent report

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Work and Occupation Variables

• Work status

• Number of hours worked (units in 10 hours)

• Number of hours worked squared (units in 10 hours)

• First job in food service, sales related, other (reference)

• Age at first job

• Age at first full‐time job

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AnalysisAll analyses were performed using MPLUS Version 6

• Cox hazard models 

• Logistic regression using individual‐by‐time observations

• ML for item missing data, assuming MAR

• Weighted estimators (correcting for unequal selection)

• Sandwich variance estimators (correcting for clustering and stratification)

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Hazard Ratios (HR) for smoking experimentation among adolescent and young adults (n=18,924)* HR 95% CI

Work Variables

Work status in adolescence 1.10 1.02-1.19

Hours of work in adolescence (in 10s) 1.00 1.00-1.00

First job in food service 1.12 1.05-1.20

First job in sales related 1.03 0.96-1.10

First job in other (reference) 1.00

Age at first job 0.96 0.95-0.98

Additional controls: age, gender, race, ethnicity, # of best friends who smoke, parental smoking status, educational attainment, and income

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Odds Ratios of Current Smoking among Adolescents Age11 –17 (n = 25,843)* OR 95% CI

Work Variables

Current work status 1.05 0.95-1.17

Hours of work (in 10s) 1.09 1.04-1.14

First job in food service 1.19 1.04-1.36

First job in sales related 1.12 0.97-1.29

First job in other (reference) 1.00

Age at first job 0.94 0.91-0.99

Additional controls: age, gender, race, ethnicity, # of best friends who smoke, parental smoking status, educational attainment, and income

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Odds Ratios of Current Smoking among Young Adults Age18–34 (n = 16,830)* OR 95% CI

Work Variables

Current work status 0.46 0.28-0.75

Hours of work (in 10s) 1.33 1.08-1.64

Hours of work squared (in 10s) 0.98 0.96-1.00

First job in food service 1.20 1.06-1.36

First job in sales related 1.05 0.91-1.21

First job in other (reference) 1.00

Age at first job 0.91 0.88-0.95

Age at first full-time job 0.98 0.95-1.00

Work status in adolescence 1.20 1.05-1.37

Hours of work in adolescence (in 10s) 0.99 0.99-1.00 *Additional controls: age, gender, race, ethnicity, # of best friends who smoke, parental smoking status, educational attainment, and income

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Conclusions/Summary• Starting work at a younger age increases the 

likelihood of smoking in young adulthood.

• The type of first job in adolescence (e.g., food service) may have lasting impacts on smoking behavior.

• Increased weekly hours worked is the most ubiquitous work characteristic impacting smoking behavior in adolescents and young adults.

• The effect of hours worked is essentially linear.

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Acknowledgements• We wish to thank Symposium Chair Dr. Sara E. Luckhaupt, Medical Officer, 

National Institute for Occupational Safety and Health

• Supported by the National Institute for Occupational Safety and Health (NIOSH R01 OH003915; R03 OH010124) and the National Institute of Child Health and Human Development (NICHD F32 HD059318)

AND

David Lee: [email protected] Luckhaupt: [email protected] Cifuentes: [email protected] Caban: [email protected]

www.umiamiORG.com