Literature DB >> 16697533

Identifying cluster subtypes for the prevention of adolescent smoking acquisition.

Wayne F Velicer1, Colleen A Redding, Milena D Anatchkova, Joseph L Fava, James O Prochaska.   

Abstract

School-based smoking prevention programs are typically identical for all students. Tailoring prevention materials to focus on individual needs with an emphasis on students at highest risk is a promising alternative. Recent prevention programs have tailored materials based on the Stages of Acquisition, an extension of the Stages of Change used to tailor smoking cessation materials effectively for adults. Three stages of acquisition have been identified: Acquisition Precontemplation (aPC), Acquisition Contemplation (aC) and Acquisition Preparation (aPR). However, about 90% of nonsmoking adolescents classify themselves in the aPC stage. A cluster analysis was performed, using the Decisional Balance and Situational Temptations scales, for three random subsamples of adolescents within the aPC stage (N(1)=N(2)=N(3)=514). Four distinct subtypes were identified in each subsample: High Risk, Protected, Ambivalent, and Risk Denial. External validity was established using family support for nonsmoking, peer variables, and stage classification at follow-up assessment (12, 24, and 36 months). Family support for nonsmoking was related to subtype much more strongly than peer interactions. Subjects in the Protected subgroup were the most likely to remain in the aPC stage at each follow-up assessment. Subtype membership, along with membership in the aC and aPR stages, provides important additional information for tailoring smoking prevention materials. Tailored interventions can focus on those adolescents at highest risk and limit or avoid expending resources on those at very low risk.

Mesh:

Year:  2006        PMID: 16697533     DOI: 10.1016/j.addbeh.2006.03.041

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  20 in total

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2.  Identifying cluster subtypes for intentions to have colorectal cancer screening among non-compliant intermediate-risk siblings of individuals with colorectal cancer.

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3.  A multiprocess latent class analysis of the co-occurrence of substance use and sexual risk behavior among adolescents.

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4.  Sense of coherence and tobacco use myths among adolescents as predictors of at-risk youth cigarette use.

Authors:  Omar El-Shahawy; Ping Sun; Jennifer Yo-Ka Tsai; Louise Ann Rohrbach; Steve Sussman
Journal:  Subst Use Misuse       Date:  2014-09-29       Impact factor: 2.164

5.  Randomized trial outcomes of a TTM-tailored condom use and smoking intervention in urban adolescent females.

Authors:  Colleen A Redding; James O Prochaska; Kay Armstrong; Joseph S Rossi; Bettina B Hoeppner; Xiaowu Sun; Hisanori Kobayashi; Hui-Qing Yin; Donna Coviello; Kerry Evers; Wayne F Velicer
Journal:  Health Educ Res       Date:  2014-05-02

6.  Typology of alcohol users based on longitudinal patterns of drinking.

Authors:  Magdalena Harrington; Wayne F Velicer; Susan Ramsey
Journal:  Addict Behav       Date:  2013-11-27       Impact factor: 3.913

7.  Multiple behavior interventions to prevent substance abuse and increase energy balance behaviors in middle school students.

Authors:  Wayne F Velicer; Colleen A Redding; Andrea L Paiva; Leanne M Mauriello; Bryan Blissmer; Karin Oatley; Kathryn S Meier; Steven F Babbin; Heather McGee; James O Prochaska; Caitlin Burditt; Anne C Fernandez
Journal:  Transl Behav Med       Date:  2013-03       Impact factor: 3.046

8.  A self-report instrument measuring readiness to change disordered eating behaviors: the Eating Disorders Stage of Change.

Authors:  D M Ackard; J K Croll; S Richter; S Adlis; A Wonderlich
Journal:  Eat Weight Disord       Date:  2009 Jun-Sep       Impact factor: 4.652

9.  A latent class approach to treatment readiness corresponds to a transtheoretical ("Stages of Change") model.

Authors:  Paul Truman Harrell; R C Trenz; M Scherer; S S Martins; W W Latimer
Journal:  J Subst Abuse Treat       Date:  2013-05-22

10.  Outcomes of cluster profiles within stages of change for sun protection behavior.

Authors:  Marimer Santiago-Rivas; Wayne F Velicer; Colleen A Redding; James O Prochaska; Andrea L Paiva
Journal:  Psychol Health Med       Date:  2013-01-24       Impact factor: 2.423

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