Background and Aims
Recent work has studied
addictions using a matrix measure, which taps multiple addictions through
single responses for each type. This is the first longitudinal study using a
matrix measure.
Methods
We investigated the use
of this approach among former alternative high school youth (average age = 19.8
years at baseline; longitudinal n =
538) at risk for addictions. Lifetime and last 30-day prevalence of one or more
of 11 addictions reviewed in other work was the primary focus (i.e.,
cigarettes, alcohol, hard drugs, shopping, gambling, Internet, love, sex,
eating, work, and exercise). These were examined at two time-points one year
apart. Latent class and latent transition analyses (LCA and LTA) were conducted
in Mplus.
Results
Prevalence rates were
stable across the two time-points. As in the cross-sectional baseline analysis,
the 2-class model (addiction class, non-addiction class) fit the data better at
follow-up than models with more classes. Item-response or conditional
probabilities for each addiction type did not differ between time-points. As a
result, the LTA model utilized constrained the conditional probabilities to be
equal across the two time-points. In the addiction class, larger conditional
probabilities (i.e., 0.40−0.49) were found for love, sex, exercise, and work
addictions; medium conditional probabilities (i.e., 0.17−0.27) were found for
cigarette, alcohol, other drugs, eating, Internet and shopping addiction; and a
small conditional probability (0.06) was found for gambling.
Discussion and Conclusions
Persons in an addiction
class tend to remain in this addiction class over a one-year period.
Purchase full article at: http://goo.gl/3sNsRm
By: Steve Sussman,1,* Pallav Pokhrel,2 Ping Sun,1 Louise A. Rohrbach,1 and Donna Spruijt-Metz1
1Institute for Health Promotion and Disease
Prevention Research, University of Southern California Keck School of Medicine,
Alhambra, CA, USA
2Cancer Prevention and Control Program,
University of Hawaii Cancer Center, Honolulu, HI, USA
* Corresponding author: Steve Sussman, PhD, FAAHB, FAPA;
Departments of Preventive Medicine and Psychology, and School of Social Work,
Institute for Health Promotion and Disease Prevention Research, University of
Southern California, Soto Street Building, 2001 North Soto Street, Room 302A,
Los Angeles, CA 90033, USA; Phone: +1-323-442-8220; Cell phone: +1-626-376-
0389; Fax: +1-626-442-8201; E-mail:ude.csu@amssuss
More at: https://twitter.com/hiv_insight
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