impacts of exposure to work on smoking and older adults ......adult smokers. • currently smoking...
Post on 14-Oct-2020
4 Views
Preview:
TRANSCRIPT
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
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.
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
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.
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/
http://www.cpc.unc.edu/projects/addhealth/design/slideshow
http://www.cpc.unc.edu/projects/addhealth/design/slideshow
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
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
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
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)
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
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
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
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.
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: dlee@med.miami.eduSara Luckhaupt: pks8@cdc.govManuel Cifuentes: manuel_cifuentes@uml.eduAlberto Caban: acaban@med.miami.edu
www.umiamiORG.com
top related