Paul T Enlow1,2, Nicholas Felicione3, Desiree N Williford4, Kristine Durkin4, Melissa D Blank4, Christina L Duncan4. 1. Center for Healthcare Delivery Science, Nemours Children's Health, Wilmington, Delaware, USA. 2. Department of Pediatrics, Sidney Kimmel Medical College of Thomas Jefferson University, Philadelphia, Pennsylvania, USA. 3. Department of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA. 4. Department of Psychology, West Virginia University, Morgantown, West Virginia, USA.
Abstract
INTRODUCTION: Expectancies of costs and benefits can be predictive of tobacco use, as well as cessation attempts and success. Measuring electronic cigarette (ECIG) expectancies is in its infancy, particularly among adolescents. However, the popularity of adolescent ECIG use demonstrates the need to understand better these contributing factors. Our aim was to evaluate the factor structure and initial psychometric properties of an ECIG expectancies questionnaire adapted from an existing validated scale for conventional cigarette smoking (Smoking Expectancy Scale for Adolescents; SESA). METHODS: Five-hundred sixty-nine adolescents (14-18 years; 60.1% female; 84.1% White) were recruited from high schools and an adolescent medicine clinic. Participants completed a battery of self-report measures, including the ECIG Expectancies Scale for Adolescents (EESA). Exploratory factor analyses were used to examine the underlying factor structure, and convergent validity was evaluated using variables conceptually related to ECIG expectancies. RESULTS: A three-factor solution was chosen based on statistical evidence and conceptual relevance. All three factors - Costs, Social Benefits, and Affective/Weight Benefits - had strong internal consistencies and demonstrated convergent validity via significant associations with peer ECIG use and Conscientiousness. The Costs and Affective/Weight Benefits factors also demonstrated convergent validity with sensation-seeking, intention to use ECIGs, and ECIG use status (current, lifetime, nonuser). CONCLUSION: Results support the initial reliability and validity of the EESA scores. This factor structure is related to, yet different from, that observed not only for the SESA but also for other ECIG-expectancy measures among adult populations.
INTRODUCTION: Expectancies of costs and benefits can be predictive of tobacco use, as well as cessation attempts and success. Measuring electronic cigarette (ECIG) expectancies is in its infancy, particularly among adolescents. However, the popularity of adolescent ECIG use demonstrates the need to understand better these contributing factors. Our aim was to evaluate the factor structure and initial psychometric properties of an ECIG expectancies questionnaire adapted from an existing validated scale for conventional cigarette smoking (Smoking Expectancy Scale for Adolescents; SESA). METHODS: Five-hundred sixty-nine adolescents (14-18 years; 60.1% female; 84.1% White) were recruited from high schools and an adolescent medicine clinic. Participants completed a battery of self-report measures, including the ECIG Expectancies Scale for Adolescents (EESA). Exploratory factor analyses were used to examine the underlying factor structure, and convergent validity was evaluated using variables conceptually related to ECIG expectancies. RESULTS: A three-factor solution was chosen based on statistical evidence and conceptual relevance. All three factors - Costs, Social Benefits, and Affective/Weight Benefits - had strong internal consistencies and demonstrated convergent validity via significant associations with peer ECIG use and Conscientiousness. The Costs and Affective/Weight Benefits factors also demonstrated convergent validity with sensation-seeking, intention to use ECIGs, and ECIG use status (current, lifetime, nonuser). CONCLUSION: Results support the initial reliability and validity of the EESA scores. This factor structure is related to, yet different from, that observed not only for the SESA but also for other ECIG-expectancy measures among adult populations.
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