Predicting smoking in young adulthood: Comparisons of adolescent smokers and nonsmokers Public
Mendel, Jennifer Robin (2011)
Published
Abstract
Predicting smoking in young adulthood: Comparisons of adolescent smokers and nonsmokers
Background: Alcohol use and mental health disorders have
been associated with smoking. Little
is known about predictors of smoking initiation vs. maintenance
from adolescence to young
adulthood.
Objective: This study aims to examine predictors of smoking
in young adulthood among (1)
adolescent nonsmokers and (2) adolescent smokers.
Methods: Data were analyzed from the first 5 waves of a
7-wave longitudinal study of
adolescents and their parents entitled Lives Across Time: A
Prospective Study of Adolescent and
Adult Development (LAT). The initial 4 waves of assessment occurred
during adolescence at 6-
month intervals from 1988-1992. The fifth wave occurred in young
adulthood from 1993-1998.
Results: Of the 776 participants included in this
analysis, 29.1% smoked at both time points,
47.7% were nonsmokers at both, 13.7% smoked in adolescence but not
as an adult, and 9.5% did
not smoke in adolescence but smoked as an adult. Average age of
participants in adolescence and
adulthood was 15.79 (SD=.70) and 23.8 (SD=1.35) years,
respectively, 50.8% were female, and
98.3% were white. Binary logistic regression indicated that
predictors of smoking in young
adulthood among adolescent nonsmokers included less education
(OR=0.77, CI 0.60, 0.99,
p=.04), being unmarried in adulthood (OR=0.11, CI 0.20, 0.62,
p=.01), lower family social
support (OR=0.97, CI 0.94, 1.00, p=.03), nonsmoking parents
(OR=0.42, CI 0.17, 1.03, p=.06),
and increased alcohol use from adolescence to adulthood (OR=1.06,
CI 1.03, 1.08, p<.001).
Predictors of smoking in young adulthood among adolescent smokers
included lower family
social support (OR=0.97, CI 0.95, 1.00, p=.05), slower decreases in
CESD scores from
adolescence to adulthood (OR=1.05, CI 1.00, 1.10, p=.04), and
greater proportion of adolescent
friends who used drugs (OR=1.02, CI 1.00, 1.04, p=.05).
Conclusions: These results indicate that distinct factors
predict smoking initiation vs.
maintenance among young adults. Thus, interventions targeting
specific factors (e.g., depressive
symptoms vs. alcohol use) might address smoking differently among
these groups.
This project was supported by the National Institute on Alcohol
Abuse and Alcoholism Grant
R37-AA07861.
Table of Contents
Table of Contents
I. Introduction
............................................................................
1-4
II. Literature Review
.....................................................................4-15
III.
Method....................................................................................
15-26
A. Participants
.................................................................................15
B. Procedure
...................................................................................
16-17
C.
Measures.....................................................................................
18-25
D. Analysis
.......................................................................................25-26
IV. Results
.........................................................................................
26-28
V. Discussion
.....................................................................................
28-38
A. Findings for each Research Question
..................................................... 28-36
B. Conclusions
.......................................................................................36
C. Strengths and
Limitations....................................................................
36-37
D. Implications and Recommendations
....................................................... 37-38
VI. References
....................................................................................
39-52
VII. Appendix
.......................................................................................
53-58
Table 1
..................................................................................................53
Table 2
..................................................................................................54
Table 3
..................................................................................................55
Table 4
..................................................................................................56
Table 5
..................................................................................................57
Figure 1
.................................................................................................58
About this Master's Thesis
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