RESUMO
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.
RESUMO
Abstract 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.
Assuntos
Humanos , Masculino , Feminino , Criança , Adolescente , Adulto , Fumar/psicologia , Inquéritos e Questionários , Reprodutibilidade dos Testes , Comportamento do Adolescente/psicologia , China , Análise Fatorial , Prevenção do Hábito de FumarRESUMO
Background: The pandemic of COVID-19 has been shaping economic developments of the world. From the standpoint of government measures to prevent and control the epidemic, the lockdown was widely used. It is essential to access the economic losses in a lockdown environment which will provide government administration with a necessary reference for decision making in controlling the epidemic. Methods: We introduce the concept of "standard unit incident" and an economic losses assessment methodology for both the standard and the assessed area. We build a "standard unit lockdown" economic losses assessment system and indicators to estimate the economic losses for the monthly lockdown. Using the comprehensive assessment system, the loss infected coefficient of monthly economic losses during lockdown in the 40 countries has been calculated to assess the economic losses by the entropy weighting method (EWM) with data from the CSMAR database and CDC website. Results: We observe that countries in North America suffered the most significant economic losses due to the epidemic, followed by South America and Europe, Asia and Africa, and Oceania and Antarctica suffered relatively minor economic losses. The top 10 countries for monthly economic losses during lockdown were the United States, India, Brazil, France, Turkey, Russia, the United Kingdom, Italy, Spain, and Germany. The United States suffered the greatest monthly economic losses under lockdown ($65.3 billion), roughly 1.5 times that of China, while Germany suffered the least ($56.4 billion), roughly 1.3 times that of China. Conclusion: Lockdown as a control and mitigation strategy has great impact on the economic development and causes huge economic losses. The economic impact due to the pandemic has varied widely among the 40 countries. It will be important to conduct further studies to compare and understand the differences and the reasons behind.