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Personality, perceived environment, and behavior systems related to future smoking intentions among youths: an application of problem-behavior theory in Shanghai, China.

Cai Y, Li R, Zhu J, Na L, He Y, Redmon P, Qiao Y, Ma J - PLoS ONE (2015)

Bottom Line: Our constructed model showed an acceptable fit to the data (comparative fit index = 0.987, root-mean-square error of approximation = 0.034).Smoking intention was irrelevant for personality system in students (β = -0.113, P>0.05) which consisted of acceptance of tobacco use (β = 0.668, P < 0.001) and academic performance (β = 0.171, P < 0.001).The PBT-based model we developed provides a good understanding of the predictors of intentions to smoke and it suggests future interventions among youths should focus on components in perceived environment and behavior systems, and take into account the moderating effects of personality system.

View Article: PubMed Central - PubMed

Affiliation: School of Public Health, Shanghai Jiao Tong University, Shanghai, China.

ABSTRACT

Background: Smoking among youths is a worldwide problem, particularly in China. Many endogenous and environmental factors influence smokers' intentions to smoke; therefore, a comprehensive model is needed to understand the significance and relationship of predictors. This study aimed to develop a prediction model based on problem-behavior theory (PBT) to interpret intentions to smoke among Chinese youths.

Methods: We conducted a cross-sectional study of 26,675 adolescents from junior, senior, and vocational high schools in Shanghai, China. Data on smoking status, smoking knowledge, attitude toward smoking, parents' and peers' smoking, and media exposure to smoking were collected from students. A structural equation model was used to assess the developed prediction model.

Results: The experimental smoking rate and current smoking rate among the students were 11.0% and 3%, respectively. Our constructed model showed an acceptable fit to the data (comparative fit index = 0.987, root-mean-square error of approximation = 0.034). Intention to smoke was predicted by perceived environment (β = 0.455, P < 0.001) system consisting of peer smoking (β = 0.599, P < 0.001), parent smoking (β = 0.152, P < 0.001), and media exposure to smoking (β = 0.226, P < 0.001), and behavior system (β = 0.487, P < 0.001) consisting of tobacco experimentation (β = 0.663, P < 0.001) and current smoking (β = 0.755, P < 0.001). Smoking intention was irrelevant for personality system in students (β = -0.113, P>0.05) which consisted of acceptance of tobacco use (β = 0.668, P < 0.001) and academic performance (β = 0.171, P < 0.001).

Conclusion: The PBT-based model we developed provides a good understanding of the predictors of intentions to smoke and it suggests future interventions among youths should focus on components in perceived environment and behavior systems, and take into account the moderating effects of personality system.

No MeSH data available.


Related in: MedlinePlus

Final model for associations between problem behavior theory variables and adolescent future smoking intention.Ovals represent multiple-indicator latent variables, rectangles represent single-indicator observable variables. Single-headed arrows represent regression path and double-headed arrows represent correlations. Regression coefficients are standardized (*P < 0.001). Dotted line indicates non-significant path.
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pone.0122276.g002: Final model for associations between problem behavior theory variables and adolescent future smoking intention.Ovals represent multiple-indicator latent variables, rectangles represent single-indicator observable variables. Single-headed arrows represent regression path and double-headed arrows represent correlations. Regression coefficients are standardized (*P < 0.001). Dotted line indicates non-significant path.

Mentions: The summary statistics for each part of the theoretical model are shown in Table 3 and the model for the personality, perceived environment, and behavior systems related to future smoking intentions, including parameters and paths significance is shown in Fig. 2. The value of CFI was 0.987, which indicated a good fit and the RMSEA was within an acceptable range of 0.05 or less (RMSEA = 0.034; chi square = 474.19, degree of freedom = 15).


Personality, perceived environment, and behavior systems related to future smoking intentions among youths: an application of problem-behavior theory in Shanghai, China.

Cai Y, Li R, Zhu J, Na L, He Y, Redmon P, Qiao Y, Ma J - PLoS ONE (2015)

Final model for associations between problem behavior theory variables and adolescent future smoking intention.Ovals represent multiple-indicator latent variables, rectangles represent single-indicator observable variables. Single-headed arrows represent regression path and double-headed arrows represent correlations. Regression coefficients are standardized (*P < 0.001). Dotted line indicates non-significant path.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4380425&req=5

pone.0122276.g002: Final model for associations between problem behavior theory variables and adolescent future smoking intention.Ovals represent multiple-indicator latent variables, rectangles represent single-indicator observable variables. Single-headed arrows represent regression path and double-headed arrows represent correlations. Regression coefficients are standardized (*P < 0.001). Dotted line indicates non-significant path.
Mentions: The summary statistics for each part of the theoretical model are shown in Table 3 and the model for the personality, perceived environment, and behavior systems related to future smoking intentions, including parameters and paths significance is shown in Fig. 2. The value of CFI was 0.987, which indicated a good fit and the RMSEA was within an acceptable range of 0.05 or less (RMSEA = 0.034; chi square = 474.19, degree of freedom = 15).

Bottom Line: Our constructed model showed an acceptable fit to the data (comparative fit index = 0.987, root-mean-square error of approximation = 0.034).Smoking intention was irrelevant for personality system in students (β = -0.113, P>0.05) which consisted of acceptance of tobacco use (β = 0.668, P < 0.001) and academic performance (β = 0.171, P < 0.001).The PBT-based model we developed provides a good understanding of the predictors of intentions to smoke and it suggests future interventions among youths should focus on components in perceived environment and behavior systems, and take into account the moderating effects of personality system.

View Article: PubMed Central - PubMed

Affiliation: School of Public Health, Shanghai Jiao Tong University, Shanghai, China.

ABSTRACT

Background: Smoking among youths is a worldwide problem, particularly in China. Many endogenous and environmental factors influence smokers' intentions to smoke; therefore, a comprehensive model is needed to understand the significance and relationship of predictors. This study aimed to develop a prediction model based on problem-behavior theory (PBT) to interpret intentions to smoke among Chinese youths.

Methods: We conducted a cross-sectional study of 26,675 adolescents from junior, senior, and vocational high schools in Shanghai, China. Data on smoking status, smoking knowledge, attitude toward smoking, parents' and peers' smoking, and media exposure to smoking were collected from students. A structural equation model was used to assess the developed prediction model.

Results: The experimental smoking rate and current smoking rate among the students were 11.0% and 3%, respectively. Our constructed model showed an acceptable fit to the data (comparative fit index = 0.987, root-mean-square error of approximation = 0.034). Intention to smoke was predicted by perceived environment (β = 0.455, P < 0.001) system consisting of peer smoking (β = 0.599, P < 0.001), parent smoking (β = 0.152, P < 0.001), and media exposure to smoking (β = 0.226, P < 0.001), and behavior system (β = 0.487, P < 0.001) consisting of tobacco experimentation (β = 0.663, P < 0.001) and current smoking (β = 0.755, P < 0.001). Smoking intention was irrelevant for personality system in students (β = -0.113, P>0.05) which consisted of acceptance of tobacco use (β = 0.668, P < 0.001) and academic performance (β = 0.171, P < 0.001).

Conclusion: The PBT-based model we developed provides a good understanding of the predictors of intentions to smoke and it suggests future interventions among youths should focus on components in perceived environment and behavior systems, and take into account the moderating effects of personality system.

No MeSH data available.


Related in: MedlinePlus