Stages of smoking acquisition of young Taiwanese adolescents: Self‐Efficacy and decisional balance
Huey‐Shys Chen, Sharon D. Horner, Melanie S. Percy, Jiunn‐Jye Sheu
Abstract
Huey‐Shys Chen, Sharon D. Horner, Melanie S. Percy, Jiunn‐Jye Sheu
Abstract
The objective of this study was to assess relationships of the stages of smoking acquisition with self-efficacy and decisional balance in young Taiwanese adolescents. A random sample of 401 students was recruited. Students who were at the precontemplation stage had higher self-efficacy to resist smoking initiation than those who were at the decision-making or maintenance stages. Ratings of benefits of smoking were significantly higher for those in the maintenance stage than in the precontemplation or decision-making stages. In a discriminant function analysis, self-efficacy and decisional balance correctly predicted 77.4% of membership in the three stages. Health educators could use stage-specific skills and strategies based on self-efficacy and decision balance constructs to develop smoking prevention programs.
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The objective of this study was to assess relationships of the stages of smoking acquisition with self-efficacy and decisional balance in young Taiwanese adolescents. A random sample of 401 students was recruited. Students who were at the precontemplation stage had higher self-efficacy to resist smoking initiation than those who were at the decision-making or maintenance stages. Ratings of benefits of smoking were significantly higher for those in the maintenance stage than in the precontemplation or decision-making stages. In a discriminant function analysis, self-efficacy and decisional balance correctly predicted 77.4% of membership in the three stages. Health educators could use stage-specific skills and strategies based on self-efficacy and decision balance constructs to develop smoking prevention programs.
Key concepts: Self-efficacy, Balance (ability), Psychology, Discriminant function analysis, Clinical psychology, Medicine, Social psychology, Computer science