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Validación del test de Fagerström para adicción a la nicotina (FTND)

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Introducción. El tabaquismo es causa de enfermedad respiratoria y factor de riesgo de enfermedades cardiovasculares, cáncer y otras enfermedades. Las intervenciones desarrolladas están orientadas al conocimiento del tabaquismo en fumadores, orientando un diagnóstico basado en la utilización de diversas pruebas que se han convertido en instrumento de evaluación, lo cual ha generado la necesidad de conocer las propiedades psicométricas de las pruebas utilizadas.
 Objetivo. Validación del test de Fagerström para adicción a la nicotina.
 Materiales y métodos. Se llevó a cabo un estudio transversal y descriptivo de evaluación de tecnología diagnóstica, y muestreo no probabilístico por conveniencia. Se incluyó una población de 200 fumadores activos de la Universidad de Boyacá. Se evaluaron seis preguntas que conforman el test, mediante la prueba de esfericidad de Bartlett, Kaiser-Meyer-Olkin y alfa de Cronbach.
 Resultados. La prueba de esfericidad de Bartlett resultó estadísticamente significativa, lo cual sugiere la existencia de correlaciones dentro de la matriz de seis preguntas. La prueba de comunalidad es de utilidad en la determinación de los grupos o los factores que se describen en el test para establecer la adicción física a la nicotina. La variación total explicable de las seis preguntas que corresponden a la versión corta del test de Fagerström dio cuenta del 47,7 % de variabilidad.
 Conclusiones. Las propiedades psicométricas del test permiten su utilización en el diagnóstico de tabaquismo según la adicción a la nicotina del fumador, sin presentar diferencias en la comprensión por parte de los fumadores y teniendo resultado fiables.
 Palabras clave: validez de las pruebas, reproducibilidad de resultados, nicotina.

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Rates of cannabis use disorder (CUD) are higher in people with schizophrenia than in the general population. Irrespective of psychiatric diagnosis, tobacco co-use is prevalent in those with CUD and leads to poor cannabis cessation outcomes. The cannabis withdrawal syndrome is well-established and increases cannabis relapse risk. We investigated whether cannabis withdrawal severity differed as a function of high versus no/low tobacco dependence and psychiatric diagnosis in individuals with CUD. Men with CUD (N = 55) were parsed into four groups according to schizophrenia diagnosis and tobacco dependence severity using the Fagerstrom Test for Nicotine Dependence (FTND): men with schizophrenia with high tobacco dependence (SCT+, n = 13; FTND ≥ 5) and no/low tobacco dependence (SCT-, n = 22; FTND ≤ 4), and nonpsychiatric controls with high (CCT+, n = 7; FTND ≥ 5) and no/low (CCT-, n = 13; FTND ≤ 4) tobacco dependence. Participants completed the Marijuana Withdrawal Checklist following 12-h of cannabis abstinence. There was a significant main effect of tobacco dependence on cannabis withdrawal severity (p < .001). Individuals with high tobacco dependence had significantly greater cannabis withdrawal severity (M = 13.85 [6.8]) compared to individuals with no/low tobacco dependence (M = 6.49, [4.9]). Psychiatric diagnosis and the interaction effects were not significant. Lastly, cannabis withdrawal severity positively correlated with FTND (r = .41, p = .002). Among individuals with CUD and high tobacco dependence, cannabis withdrawal severity was elevated twofold, irrespective of diagnosis, relative to individuals with CUD and no/low tobacco dependence. Findings from this study emphasize the importance of addressing tobacco co-use when treating CUD.

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The Effect of long-term awareness on active and passive tobacco smokers
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Tobacco addiction is a major public health problem. Numerous scientific studies have been conducted on the harms of tobacco products. However, the number of intervention studies investigating the effect of long-term awareness of the harm of tobacco products on the Fagerström Test for Nicotine Dependence (FTND), Carbon Monoxide (CO), Carboxyhemoglobin (COHb) and Respiratory Function Test (RFT) are limited. Our goal is to investigate the impact of long-term scientific awareness on these parameters. The study was designed an intervention study on active and passive smoking participants and their control groups. Control groups were not given any training on the harms of tobacco products. When comparing the first and last weeks in active smoker intervention group (ASIG), the difference between FTND, FEV1, CO, and COHb parameters was observed to be statistically significant (p&lt;0.05). The highest decrease in ASIG was in CO (↓60%) parameter and the highest increase was in the FEV1(↑%10) parameter. There was a significant difference both FEV1, FVC, FEV1/FVC (p&lt;0.05) and CO parameters of passive smokers intervention group (PSIG). The highest decrease in PSIG was in the CO parameter (↓%65.8) and the highest increase was in the FVC (↑%10) parameter. Awareness programs may reduce the severity of addiction in active smokers and may help protect passive smokers. As awareness increases, positive changes in some vital parameters may be possible. Up-to-date programs and policies are needed to make easy and sustainable awareness of both active and passive smoking.

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Factor Structure of the Bengali Version of the Fagerstrom Test for Nicotine Dependence Questionnaire
  • Jul 1, 2021
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Context: The Fagerstrom test for nicotine dependence (FTND) is a self-administered ordinal measure of nicotine dependence containing six items that evaluate the quantity of tobacco smoking, the compulsion to use, and dependence. Aims: To date, no Bengali version of the questionnaire is available. We aimed to develop its Bengali version and examine its cross-cultural adaptability considering linguistic equivalence. Settings and Design: A cross-sectional study was conducted through consecutive sampling at the outpatients of the National Institute of Homoeopathy, Kolkata. Subjects and Methods: The FTND-Bengali version (FTND-B) was produced by standardized forward-backward translations. The psychometric analysis was run to examine its factor structure, validity, and reliability. Reliability was examined using internal consistency (n = 263). Construct validity was examined by exploratory factor analysis (n = 132) using principal component analysis (varimax rotation). Subsequently, confirmatory factor analysis (CFA; n = 131) was performed to verify the model fit. Results: The internal consistency was acceptable (Cronbach's α = 0.701; 95% confidence interval [CI] 0.641–0.753). The Kaiser–Meyer-Olkin (=0.712) and Bartlett's test of sphericity (Chi-square 109.593, P &lt; 0.001) both suggested adequacy of the sample. In factor analysis using varimax, all the items loaded above the pre-specified value of 0.3 and identified two components – “restraint” (question no. 1, 2, and 6) and “compulsion” (question no. 3, 4, and 5); explaining 56.1% of the variation. The goodness-of-fit in the CFA model was mediocre, but acceptable (Comparative Fit Index = 0.871, Tucker Lewis Index = 0.759, Root Mean Square Error of Approximation = 0.142, Standardized Root Mean Square Residual = 0.026). Conclusions: FTND-B, consisting of 6 items and framed within two components, appeared to be a valid and reliable questionnaire.

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