Title of article
The Application of Poisson Random-Effects Regression Models to the Analyses of Adolescentsʹ Current Level of Smoking
Author/Authors
Ohidul Siddiqui، نويسنده , , Joshua Mott، نويسنده , , Tammy Anderson، نويسنده , , Brian Flay، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 1999
Pages
10
From page
92
To page
101
Abstract
Background. In school-based smoking prevention research, it is still debatable whether parents or peers are most influential to maintained smoking among adolescents. As a result, this study examines the effects of parental and peer approval of smoking on adolescentsʹ current levels of smoking.
Methods. Poisson random-effects regression models were used to assess the effects of parental and peer approval of smoking on adolescentsʹ (n = 913) current level of smoking.
Results. Results of these analyses indicate that a stronger relationship between parental approval of smoking and current level of smoking was found for female adolescents than for male adolescents. Conversely, a stronger relationship between peer approval of smoking and current level of smoking was found for male adolescents than for female adolescents. With respect to race, the influence of parental approval of smoking on adolescentsʹ current level of smoking was generally more pronounced for minority adolescents, relative to white adolescents. However, the influence of peer approval of smoking on current level of smok ing was strongest for white adolescents and was less strong for black, Hispanic, and Asian adolescents.
Conclusion. The findings of this study demonstrated that the effects of parental and peer approval of smoking on adolescentsʹ current levels of smoking were varied by gender and race. These differential effects may have some implication for the development of future school-based smoking prevention and cessation programs.
Keywords
Poisson random-effects model , Count data , adolescentsי current level of smoking. , Smoking prevention
Journal title
Preventive Medicine
Serial Year
1999
Journal title
Preventive Medicine
Record number
803087
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