Abstract:INTRODUCTION Cigarette smoking initiation remains prevalent in adolescence. Effective prevention methods are needed to dissuade this behavior. Demographic factors are identified as important risk factors in the developmental nature of smoking in adolescence. The current study investigates potential demographic differences for two new trans-theoretical model measures, the Decisional Balance Inventory (pros and cons) for Smoking Prevention and the Temptations to Try Smoking Scale. METHODS A sample of 6th grade … Show more
“…Briefly, the TTM is a comprehensive framework with multiple dimensions of behavior and behavior change [16]. This model has been applied to various health behaviors [14][15][16][17][18][19][20][21][22][23], including exercise [16][17][18] and sun protection [21][22][23]. The core TTM constructs include decisional balance, stages of change, self-efficacy, and processes of change.…”
BACKGROUND
Relational agents (RAs) are electronic computational figures designed to engage participants in the change process. A recent study, Project RAISE, tested the effectiveness of RAs, combined with existing computer-based interventions to increase regular exercise and sun protection behaviors. Results showed these interventions can be effective but need further development.
OBJECTIVE
The purpose of this study was to examine participants’ experiences using RAs to increase participant engagement and promote behavior change .
METHODS
A qualitative approach was primarily utilized. A 25-question interview guide assessed different components of participants’ experiences with the intervention, including motivation, engagement, satisfaction or dissatisfaction, quality of their interaction with the RA, and behavior change. Quantitative assessment of satisfaction was based on a scale of 1 to 10, with 1 representing least satisfied and 10 representing most satisfied. A summative analytic approach was used to assess individuals’ qualitative responses. A single analysis of variance (ANOVA) examined levels of satisfaction by gender.
RESULTS
Of the original 1354 participants enrolled in Project RAISE, 490 of 1354 (36%) were assigned to the RA group. A sample of 216 out of 490 (44%) participants assigned to the RA group completed the interventions, and follow-up assessments were contacted to participate in the semistructured interview. A total of 34 out of 216 (16%) completed the interview. Participants were motivated by, and satisfied with, the intervention. Participants viewed the RA as supportive, informative, caring, and reported positive behavior change in both exercise and sun protection. Some participants (15/34, 44%) noted the RA was less judgmental and less “overbearing” compared with a human counselor; other participants (12/34, 35%) said that the interaction was sometimes repetitive or overly general. The majority of participants (22/34, 65%) viewed the RA as an important contributor to their behavior change for exercise, sun protection, or both. Levels of satisfaction ranged between 7 and 10. There were no gender differences noted in levels of satisfaction (P=.51).
CONCLUSIONS
RAs provide an innovative and attractive platform to increase exercise and sun protection behaviors and potentially other health behaviors.
“…Briefly, the TTM is a comprehensive framework with multiple dimensions of behavior and behavior change [16]. This model has been applied to various health behaviors [14][15][16][17][18][19][20][21][22][23], including exercise [16][17][18] and sun protection [21][22][23]. The core TTM constructs include decisional balance, stages of change, self-efficacy, and processes of change.…”
BACKGROUND
Relational agents (RAs) are electronic computational figures designed to engage participants in the change process. A recent study, Project RAISE, tested the effectiveness of RAs, combined with existing computer-based interventions to increase regular exercise and sun protection behaviors. Results showed these interventions can be effective but need further development.
OBJECTIVE
The purpose of this study was to examine participants’ experiences using RAs to increase participant engagement and promote behavior change .
METHODS
A qualitative approach was primarily utilized. A 25-question interview guide assessed different components of participants’ experiences with the intervention, including motivation, engagement, satisfaction or dissatisfaction, quality of their interaction with the RA, and behavior change. Quantitative assessment of satisfaction was based on a scale of 1 to 10, with 1 representing least satisfied and 10 representing most satisfied. A summative analytic approach was used to assess individuals’ qualitative responses. A single analysis of variance (ANOVA) examined levels of satisfaction by gender.
RESULTS
Of the original 1354 participants enrolled in Project RAISE, 490 of 1354 (36%) were assigned to the RA group. A sample of 216 out of 490 (44%) participants assigned to the RA group completed the interventions, and follow-up assessments were contacted to participate in the semistructured interview. A total of 34 out of 216 (16%) completed the interview. Participants were motivated by, and satisfied with, the intervention. Participants viewed the RA as supportive, informative, caring, and reported positive behavior change in both exercise and sun protection. Some participants (15/34, 44%) noted the RA was less judgmental and less “overbearing” compared with a human counselor; other participants (12/34, 35%) said that the interaction was sometimes repetitive or overly general. The majority of participants (22/34, 65%) viewed the RA as an important contributor to their behavior change for exercise, sun protection, or both. Levels of satisfaction ranged between 7 and 10. There were no gender differences noted in levels of satisfaction (P=.51).
CONCLUSIONS
RAs provide an innovative and attractive platform to increase exercise and sun protection behaviors and potentially other health behaviors.
“…In addition, internalizing problems and psychological distress are linked to tobacco initiation and use, with recent empirical evidence establishing a relationship between these factors and e-cigarette use [11,12,16]. Although studies on temptation to use e-cigarettes are limited, the relationship between being tempted to use tobacco and tobacco use shown in other studies is likely similar [17][18][19].…”
E-cigarettes are commonly used tobacco products among youth populations, including Appalachian youth. However, knowledge of the extent to which tobacco use status relates to temptation to try e-cigarettes is limited. Data from the Youth Appalachian Tobacco Study (n = 1047) were used. Temptation to try e-cigarettes was derived from a 12-item situational inventory. Tobacco use status was defined as never, ever non-e-cigarette, and ever e-cigarette use. A factorial ANOVA was used to estimate the adjusted association between tobacco use status and the e-cigarette use temptation scale. Two-way interaction terms between tobacco use status and gender, and tobacco use status and race/ethnicity, were plotted to depict effect modification. Approximately 10% of youth were ever non-e-cigarette users and 24% were ever e-cigarette users. Never and ever non-e-cigarette user middle schoolers had higher temptation to try e-cigarettes than their high school counterparts. The same relationship was found among never and ever e-cigarette users living in households with tobacco users. The ANOVA results suggest a positive, monotonic relationship between tobacco use status and temptation to try e-cigarettes, and that the adjusted group means differ by gender and race/ethnicity. The findings can inform tobacco prevention interventions for youth at higher risk for e-cigarette use, especially youth who have not yet tried e-cigarettes.
“…The higher score on the TTSS means the larger possibility for an adolescent to smoke. The TTSS scale has been used in the prevention and intervention of smoking behavior among adolescents in America, showing good psychometric characteristics (Ford et al, 2013 ; McGee et al, 2012 ; Sillice et al, 2017 ). Furthermore, such TTSS has also been applied in studies about adolescent smoking in England (Babbin et al, 2015 ).…”
Objective
To provide a scientifc tool, the Temptations to Try Smoking Scale (TTSS) is introduced to evaluate its reliability and validity in preventing and intervening Chinese adolescents from smoking temptations.
Methods
A questionnaire, including the TTSS, the Chinese version of the Decisional Balance Scale (CDBS), the Adolescent Smoking Curiosity Scale (ASCOS), and the Sensation-Seeking Scale (SSS), is used to test 1195 Chinese adolescent volunteers (214 of them are retested after 1 month). If all six items in the TTSS are retained, the exploratory factor analysis (EFA) reveals that the TTSS exhibits a structure of two factors: positive social and curiosity/stress.
Results
The confrmatory factor analysis (CFA) shows that the two-factor model of the TTSS has the ftting indices χ2/df = 2.35, RMSEA = 0.06, and CFI = 0.99, which are better than those of its single-factor model. The total scores of the TTSS, positive social, and curiosity/stress are positively correlated with the scores of Pros, ASCOS, TAS, and Dis of SSS but negatively correlated with the Cons, hereby exhibiting good criterion-related validity. The internal consistency coefcient of the TTSS is 0.89, and the retest reliability is 0.90.
Conclusion
Therefore, the TTSS has good reliability and validity for Chinese adolescents and can be used as an efective tool to evaluate adolescents’ smoking temptations in China.
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