Salud mental 2024;

ISSN: 0185-3325

DOI: 10.17711/SM.0185-3325.2024.014

Received: November 12, 2022 Accepted: May 8, 2023

Cultural adaptation and psychometric properties of the scale of attitudes towards conventional cigarettes among Mexican university students

David Zepeta Hernández1 ,2 , Nora Angélica Armendáriz-García1 , María Magdalena Alonso Castillo1 , Erika Mayte del Ángel Salazar2


1 Facultad de Enfermería, Universidad Autónoma de Nuevo León, México.

2 Facultad de Enfermería, Universidad Veracruzana, Veracruz, México.

Correspondence: David Zepeta Hernández Facultad de Enfermería, Universidad Veracruzana Blvd Lázaro Cárdenas 801, Col. Morelos, 93340 Poza Rica, Veracruz, México. Phone: +52 (782) 824-5700 ext. 43103 Email: dzepeta@uv.mx 


Abstract:
Introduction. Tobacco use among youth continues to be a public health problem. Since identifying attitudes can help understand why young people use conventional cigarettes, it is essential to have valid instruments to assess attitudes towards conventional cigarettes.
Objective. To culturally adapt and analyze the psychometric properties of the scale of attitudes towards conventional cigarettes in young university students.
Method. The study was conducted in two phases: it was culturally adapted to determine its linguistic validity and its psychometric properties were subsequently verified through factor analysis, Cronbach’s Alpha, McDonald’s Omega, and the ROC curve.
Results. Participants included 635 university students with a mean age of 23.56 ± 5.89, 56.4% of whom were women. Exploratory analysis identified three components explaining 57.06% of the total variance of the thirteen items with high internal consistency (α = .875). Factor analysis confirmed that three factors had excellent fit indices (χ2/gl = 1.78, IFI = .98, CFI = .98, TLI = .97, RMSEA = .04 (90% CI [.028, .057]), SRMR = .03).
Discussion and conclusion. The scale of attitudes towards conventional cigarettes in the Mexican population has high construct validity and reliability.

Keywords: Attitude, cigarette smoking, validation study, students.

Resumen:
Introducción. El consumo de tabaco entre los jóvenes sigue siendo un problema de salud pública. Identificar las actitudes puede ayudar a comprender por qué los jóvenes están consumiendo cigarro convencional, por lo que es necesario disponer de instrumentos válidos para evaluar las actitudes hacia el cigarro convencional.
Objetivo. Adaptar culturalmente y evaluar de las propiedades psicométricas de la escala de actitudes hacia el cigarro convencional en estudiantes universitarios.
Método. El estudio se realizó en dos fases: se adaptó culturalmente para determinar la validez lingüística y luego se verificaron sus propiedades psicométricas mediante análisis factorial, alfa de Cronbach, omega de McDonald’s y curva COR.
Resultados. Participaron 635 estudiantes universitarios, con una edad media de 23,56 ± 5,89. El 56.4% fueron mujeres. El análisis exploratorio definió tres componentes que explican el 57.06% de la varianza total de los 13 ítems con alta consistencia interna (α = .875). El análisis factorial confirmó tres factores con excelentes índices de ajuste (χ2/gl = 1.78, IFI = .98, CFI = .98, TLI = .97, RMSEA = .04 (90% CI [.028, .057]), SRMR = .03).
Discusión y conclusión. La escala de actitudes hacia el cigarro convencional en población mexicana reporta alta validez de constructo y confiabilidad.

Palabras clave: Actitud, fumar cigarros, estudio de validación, estudiantes.




INTRODUCTION

Tobacco use among young people continues to be a public health problem. In Mexico, the highest prevalence of tobacco use (27.1%) has been found in young people ages twenty to twenty-nine (Zavala- Arciniega et al., 2020). In keeping with the above, studies of young university students have found high prevalences of tobacco use ranging from 19.5% to 31.5% in Mexico (González Angulo et al., 2019; Sánchez-Hoil et al., 2017; Vallejo et al., 2019) and other countries (Bauer-Kemeny et al., 2020; Correa-López et al., 2020; Hassan et al., 2019; Loukas et al., 2019).

Given this situation, further study is required of the factors encouraging tobacco use to understand and intervene to reduce these behaviors, given that youth is a crucial period for the adoption of risky behaviors such as tobacco use (Gaete, 2015). According to the Theory of Planned Behavior, the attitude of an individual towards a certain behavior predicts their aim of engaging in the latter (Ajzen, 1985). Some studies have found that favorable attitudes towards tobacco use predict the onset of or current cigarette smoking among university students (Al Omari et al., 2021; Pardavila-Belio et al., 2019; Sidani et al., 2014). However, to date, no psychometric validation studies of questionnaires evaluating attitudes regarding tobacco or conventional cigarette use in the Mexican population have been found.

Given the above, identifying attitudes can help understand why young people use conventional cigarettes. A critical step in accurately assessing conventional cigarette smoking among youth is the development of a measure to examine attitudes toward it. The aims of this study were therefore twofold. The first was to culturally adapt the scale of attitudes towards conventional cigarettes, and the second was to evaluate the construct validity, internal consistency, and discriminant validity of the scale among Mexican university students.

METHOD

Study design

A cross-sectional design was used.

Subjects

A total sample of 665 undergraduate students (two independent samples: n1 = 235, n2 = 430) was obtained from the area of social and health sciences at a public university in the state of Nuevo León, Mexico, in April (n1 = political science faculty) and September (n2 = psychology, communication and visual arts faculty) of 2022, with a refusal rate of 1%. Convenience sampling was applied, and the sample size was considered adequate for factor analyses (Brown, 2015).

Measurements

A paper survey was used, and a registration form was created to obtain demographic information (age, sex, and semester) from the participants.

A four-item questionnaire on conventional cigarette use was administered with dichotomous response options (Yes/No): Have you ever smoked a conventional cigarette? Have you smoked a conventional cigarette in the past twelve months? Have you smoked a conventional cigarette in the past thirty days? and have you smoked a conventional cigarette in the past seven days? Participants whose answers were “Yes” in the past year, thirty days or seven days were considered smokers. Participants using other possible answer options were considered non-smokers.

The Attitudes towards Smoking Scale validated by García del Castillo et al. (2012b) in Spanish adolescents was used. This scale provides information on attitudes towards conventional cigarettes. It is a Likert scale with five response options (Strongly agree = 5, Agree = 4, Indifferent = 3, Disagree = 2 and Strongly disagree = 1), comprising thirteen items (items five to eight are scored inversely), designed for the adolescent and adult population.

The scale comprises three dimensions. The first evaluates attitudinal disposition towards cigarette smoking (items 9-13), the second evaluates the index of aversion to cigarette smoking (items 5-8), while the third evaluates the perception of satisfaction with cigarette smoking (items 1-4). The total score ranges between 5 and 65, with higher values indicating a more favorable attitude towards smoking. The scale has shown acceptable reliability indices in the Spanish population with a test-retest coefficient of .50 (García del Castillo et al., 2012b) and a Cronbach’s alpha greater than .76 in each dimension in the Portuguese population (García del Castillo et al., 2012a).

Procedure

First, the scale was reviewed by three expert researchers in the area of drugs. The reviewers agreed to change the word “tobacco” to “cigarette smoking” because the latter is used in national drug use surveys in Mexico when specific reference is made to conventional cigarettes, also called combustion cigarettes, rather than other tobacco products such as e-cigarettes or heated tobacco (Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz et al., 2017). As a result of these changes in the wording of the questions, the scale was considered to be equivalent to the original version in regard to the construct being evaluated. No significant differences were therefore expected to occur regarding the construct it is designed to measure. The instrument was then piloted with university students with similar characteristics to the participants in this study. At the end of the test, students were interviewed individually to determine whether they had understood the questions or experienced any difficulty answering them. All of them reported that they had understood the questions and wording of the instrument.

The new version of the scale was subsequently administered to two independent samples. Students enrolled in the faculties, who were present during the data collection, were included. Participants were intentionally selected as a group in the faculty classrooms. Afterwards, they were verbally invited to participate, and those who agreed to participate granted their consent. Average survey completion time was ten minutes.

Statistical analysis

The Kaiser-Meyer-Olkin (KMO) test and Bartlett’s sphericity were used to evaluate the adequacy of the data for factor analysis. Exploratory factor analysis was performed with the principal axis factorization extraction method with pro max rotation (López-Aguado & Gutiérrez-Provecho, 2019) because the data were not normally distributed (p < .001). The model was then contrasted with confirmatory factor analysis; the criteria for evaluating the model are specified in Table 1 (Hu & Bentler, 1995). Internal consistency was estimated using Cronbach’s alpha and McDonald’s omega coefficient for Likert-type scales; values of .70 or higher were adopted as criteria to represent acceptable internal consistency (Hayes & Coutts, 2020; Terwee et al., 2007). Discriminant validity was evaluated through the ROC curve, and the Youden index was used to identify the sensitivity and specificity of the scale (Youden, 1950). Statistical analyses were performed with SPSS AMOS 23.


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Ethical considerations

The procedures used in this study adhered to the principles of the Declaration of Helsinki (World Medical Association, 2017) and the General Health Act on Health Research (Diario Oficial de la Federación de México, 2021). Participants signed an informed consent form and the confidentiality, anonymity and security of their information was protected at all times. The research protocol was approved by the Research and Ethics Committee of the Nursing Faculty of the Autonomous University of Nuevo León with registration number FAEN-1858.

RESULTS

Six hundred and sixty-five students ages 16-40, with an average of 19.62 years (SD = 2.17) participated, with 56.4% of women and 43.6% of men. As for the semester in which they were enrolled, 15.3 were in the first, 12.8% in the second, 9.0% in the third, 28.6% in the fourth, 7.1% in the fifth, 7.8% in the sixth, 9.2% in the seventh, and 10.2% in the eighth semester.

The Kaiser-Meyer-Olkin (KMO) analysis showed sampling adequacy of the variables (.85) and Bartlett’s test of sphericity was significant (X2 = 2774.75; df = 91, p < .001) for the data (n1 = 235) in the new version of the scale. As can be seen in Table 2, the correlation patterns between the items were positive and statistically significant.


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Exploratory factor analysis identified three components explaining 65.26% of the total variance of the thirteen items. Three factors were confirmed after rotating the component matrix: factor one, “Attitudinal disposition,” comprising five items; factor two, “Aversion Index,” comprising four items; and factor three, “Perception of satisfaction,” with four items. All the items showed loadings greater than .50 (Table 1). The assignment of the names of the factors followed the dimensions proposed by García del Castillo et al. (2012b), while the grouping of the items coincided with that of the Spanish and Portuguese version.

The three-factor model produced was contrasted in the confirmatory factor analysis. The results in model one were considered inadequate. The IFI and CFI values were less than .90, suggesting poor model fit (Table 3). A re-specification of the factor model was therefore conducted. The modification indices indicated that the residuals of items 12 and 13 correlated (p = .39). After a statistical and theoretical analysis, item 13 “I would be willing to smoke cigarettes anywhere” was eliminated. Model two showed excellent measures of fit in all indices (χ2/df = 1.78, IFI = .98, CFI = .98, TLI = .976, RMSEA = .043; 90% CI = [.028, .057], SRMR = .034; Table 3).


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Figure 1 shows the standardized regression coefficients between the factors, ranging from .39 to .72, as well as the correlations of the factors and items, ranging from .59 to .86.


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The Cronbach’s alpha and McDonald’s omega coefficient for the 12-item ESACCO-12 scale (appendix) were .875 respectively, indicating excellent reliability. The discriminant capacity of the scale between smokers and non-smokers was 83.6% (AUC = .836; 95% CI = [.80, .86], p < .001), while the cut-off point of the scale was 24 points, with a sensitivity of 81% and specificity of 71% (Figure 2).


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DISCUSSION AND CONCLUSION

The cultural adaptation concluded with minimal modifications to the items in the original scale, which were validated through the results of the pilot test, showing that the university students had understood the wording of the questionnaire. This shows that the adapted scale is equivalent to the original version and guarantees the measurement of the same construct in university students.

Regarding the construct validity of the scale, this study confirmed a three-dimensional structure (García del Castillo et al., 2012a; García del Castillo et al., 2012b), given that the confirmatory factor analysis showed an excellent model fit with twelve of the thirteen original items. The “Perception of satisfaction with conventional cigarette use” showed almost the same structure as four out of the five original items. Item 13, which was originally in this dimension, was not included because it showed a residual correlation with Item 12. This was possibly due to a perceived redundancy of the content of the items (Byrne, 2009) or the proximity between the latter (Domínguez-Lara & Merino-Soto, 2017). It is therefore suggested that the items be distributed among the dimensions when the surveys are administered. This study is the first to use confirmatory factor analysis to evaluate the construct validity of the scale, which allowed problems between the items to be identified. The changes made it possible to obtain excellent factor indices, suggesting that this measurement scale is more robust than the other versions (García del Castillo et al., 2012a; García del Castillo et al., 2012b).

In keeping with the above, the internal consistency coefficients of the scale were higher than those of the Spanish (García del Castillo et al., 2012b) and the Portuguese versions (García del Castillo et al., 2012a), indicating a greater reliability of the scale in university students.

Likewise, this is the first study to evaluate the discriminant validity of the scale, which obtained optimal discriminant power to identify subjects who smoke conventional cigarettes based on the general scores (twenty-four points) of the scale of attitudes towards conventional cigarettes. This result supports the assumption of the Theory of Reasoned Action, which states that a behavior is influenced by the favorable or unfavorable attitudes a person has about that behavior (Ajzen, 1985). In this case, students who scored higher on the scale of attitudes towards conventional cigarettes smoked conventional cigarettes. The discriminant sensitivity of the scale can therefore be used to detect people at risk of conventional cigarette smoking by evaluating their attitudes towards conventional cigarettes in prevention programs at educational centers and in intervention studies on conventional cigarette use.

Strengths of the current study include its consistent results, adequate sample size for statistical analyses, and the analysis of the sensitivity of the scale. However, the study findings should be considered in light of certain limitations. Although the data were self-reported, and therefore limited by the ability and willingness of the study participants to provide accurate responses, these factors were offset by the anonymity of the survey and the lack of evidence that any of them had provided random responses. Given that the sample was limited to university students in the area of social and health sciences, and that this scale has not been used in clinical populations for tobacco use disorder, further research could explore the strengths and limitations of the scale in adolescents or adults, university students from other areas, workers, or participants in clinical rehabilitation settings.

Since it was not possible to evaluate biomarkers (such as nicotine) as a direct indicator for analyzing the sensitivity of the scale, it would be worth analyzing whether nicotine levels in participants are associated with the levels of the scale. At the same time, given that e-cigarettes have been considered a public health problem with similar characteristics to conventional cigarettes, this scale could be adapted to evaluate attitudes towards e-cigarettes, as in other studies that have adapted instruments for the study of e-cigarettes based on instruments evaluating conventional cigarette use (Foulds et al., 2015; Morean et al., 2019).

In conclusion, the Mexican version of the Scale of Attitudes toward Conventional Cigarettes (ESACCO-12) possesses high construct validity and reliability. It is considered to be a simple, valid tool for evaluating attitudes toward conventional cigarette use among Mexican university students.

Funding

DZH received a grant from the National Council of Science and Technology (CONACYT) as a PhD student in Nursing Sciences at the Autonomous University of Nuevo León.

Conflict of interests

The authors declare that they have no conflicts of interest.

Acknowledgements

We would like to thank the students and directors of each faculty, who gave their consent and permission for the development of this research.

REFERENCES

Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control (pp. 11-39). Berlin, Heidelberg: Springer.

Al Omari, O., Abu Sharour, L., Heslop, K., Wynaden, D., Alkhawaldeh, A., Al Qadire, M., & Khalaf, A. (2021). Knowledge, Attitudes, Prevalence and Associated Factors of Cigarette Smoking Among University Students: A Cross Sectional Study. Journal of Community Health, 46(3), 450-456. doi: 10.1007/s10900-020-00874-0

Asociación Médica Mundial [WMA]. (2017). Declaración de Helsinki de la Asociación Médica Mundial. Principios éticos para las investigaciones médicas en seres humanos. Retrieved from https://www.wma.net/es/policies-post/declaracion-de-helsinki-de-la-amm-principios-eticos-para-las-investigaciones-medicas-en-seres-humanos/

Bauer-Kemeny, C., Lis, I. V., Raupach, T., & Kreuter, M. (2020). Tobacco Use, Knowledge about Smoking-Associated Risks, and Cessation Programs among Dental Students in Germany - ToDent. Respiration, 99(9), 764-770. doi: 10.1159/000509611

Brown, T. A. (2015). Confirmatory factor analysis for applied research. Guilford publications.

Byrne, B. M. (2009). Structural equaon modeling with AMOS: Basic concepts, applicaons, and programming. Routledge / Taylor & Francis.

Correa-López, L. E., Morales Romero, A. M., Olivera Ruiz, J. E., Segura Márquez, C. L., Cedillo Ramírez, L., & Luna-Muñoz, C. (2020). Factores asociados al consumo de tabaco en estudiantes universitarios de Lima metropolitana. Revista de la Facultad de Medicina Humana, 20(2), 227-232. doi: 10.25176/rfmh.v20i2.2872

Diario Oficial de la Federación de México (2021). Ley General de Salud. DOF 01-06-2021. Retrieved from http://www.diputados.gob.mx/LeyesBiblio/pdf_mov/Ley_General_de_Salud.pdf

Domínguez-Lara, S. A., & Merino-Soto, C. (2017). Una modificación del coeficiente alfa de Cronbach por errores correlacionados. Revista Médica de Chile, 145(2), 270-271. doi: 10.4067/S0034-98872017000200018

Foulds, J., Veldheer, S., Yingst, J., Hrabovsky, S., Wilson, S. J., Nichols, T. T., & Eissenberg, T. (2015). Development of a questionnaire for assessing dependence on electronic cigarettes among a large sample of ex-smoking E-cigarette users. Nicotine & Tobacco Research, 17(2), 186-192. doi: 10.1093/ntr/ntu204

Gaete, V. (2015). Desarrollo psicosocial del adolescente. Revista Chilena de Pediatría, 86(6), 436-443. doi: 10.1016/j.rchipe.2015.07.005

García del Castillo, J. A., Dias, P. C., Díaz-Pérez, J., Bastos, A. S., Garcia del Castillo, Á., López-Sánchez, C., & Maciá, D. (2012a). Adaptación de las escalas de actitudes hacia el tabaco, el alcohol y otras drogas en adolescentes portugueses. Salud y Drogas, 12(1), 79-99.

García del Castillo, J. A., López-Sánchez, C., Segura, M. C., & García del Castillo-López, A. (2012b). Estilos de vida y salud: promoción y prevención. In M.C. Terol, Y. Quiles & V. Pérez (Eds). Manual de evaluación psicosocial en contextos de salud. Madrid: Pirámide.

González Angulo, P., Hernández Martínez, E. K., Rodríguez Puente, L. A., Castillo Vargas, R., Salazar Mendoza, J., & Camacho Martínez, J. U. (2019). Percepción de riesgo ante el consumo de alcohol y tabaco en estudiantes de ciencias de la salud de Saltillo. Enfermería Global, 18(4), 398-422. doi: 10.6018/eglobal.18.4.351381

Hassan, M. S., Hossain, M. K., & Khan, H. (2019). Prevalence and predictors of tobacco smoking among university students in Sylhet Division, Bangladesh. International Health, 11(4), 306-313. doi: 10.1093/inthealth/ihy091

Hayes, A. F., & Coutts, J. J. (2020). Use omega rather than Cronbach’s alpha for estimating reliability. But…. Communication Methods and Measures, 14(1), 1-24. doi: 10.1080/19312458.2020.1718629

Hu, L. T, & Bentler, P. M. (1995). Evaluating model fit. In R. Hoyle (Ed.). Structural equation modeling: Concepts, issues, and applications (pp. 76-99). Sage Publications, Inc.

Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Instituto Nacional de Salud Pública, Comisión Nacional Contra las Adicciones, Secretaría de Salud. (2017). Encuesta Nacional de Consumo de Drogas, Alcohol y Tabaco 2016-2017: Reporte de tabaco. Ciudad de México, México: INPRFM.

López-Aguado, M., & Gutiérrez-Provecho, L. (2019). Cómo realizar e interpretar un análisis factorial exploratorio utilizando SPSS. REIRE Revista dʼInnovació i Recerca en Educació, 12(2), 1-14. doi: 10.1344/reire2019.12.227057

Loukas, A., Marti, C. N., & Perry, C. L. (2019). Trajectories of Tobacco and Nicotine Use Across Young Adulthood, Texas, 2014-2017. American Journal of Public Health, 109(3), 465-471. doi: 10.2105/AJPH.2018.304850

Morean, M. E., Krishnan-Sarin, S., Sussman, S., Foulds, J., Fishbein, H., Grana, R., & OʼMalley, S. S. (2019). Psychometric Evaluation of the E-cigarette Dependence Scale. Nicotine & Tobacco Research, 21(11), 1556-1564. doi: 10.1093/ntr/ntx271

Pardavila-Belio, M. I., Lizarbe-Chocarro, M., & Canga-Armayor, N. (2019). Actitudes, autoeficacia e intención hacia la cesación tabáquica en universitariosespañoles. Anales del Sistema Sanitario de Navarra, 42(1), 41-47. doi: 10.23938/ASSN.0588

Sánchez-Hoil, A., Andueza-Pech, M. G., Santana-Carvaja, A. M., Hoil-Santos, J. J., & CuFarfán-López, J. (2017). Características sociodemográficas y perfil de consumo de tabaco y drogas en estudiantes de dos universidades de México. Revista Biomédica, 28(1), 11-27. doi: 10.32776/revbiomed.v28i1.552

Sidani, J. E., Shensa, A., Barnett, T. E., Cook, R. L., & Primack, B. A. (2014). Knowledge, attitudes, and normative beliefs as predictors of hookah smoking initiation: alongitudinal study of university students. Nicotine & Tobacco Research: official journal of the Society for Research on Nicotine and Tobacco, 16(6), 647-654. doi: 10.1093/ntr/ntt201

Terwee, C. B., Bot, S. D., de Boer, M. R., van der Windt, D. A., Knol, D. L., Dekker, J., Bouter, L. M., & de Vet, H. C. (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60(1), 34-42. doi: 10.1016/j.jclinepi.2006.03.012

Vallejo, A. G., Diaz, K., Méndez, M. M., & López, P. (2019). Sintomatología depresiva y consumo de sustancias en universitarios de Veracruz México. Revista Electrónica de Psicología Iztacala, 22(4), 3255-3272.

Youden, W. J. (1950). Index for rating diagnostic tests. Cancer, 3(1), 32-35. doi: 10.1002/1097-0142(1950)3:13.0.co;2-3

Zavala-Arciniega, L., Gutiérrez-Torres, D. S., Reynales-Shigematsu, L. M., Barrientos-Gutiérrez, I., Fleischer, N. L., Meza, R., & Thrasher, J. F. (2020). Cigarros con cápsulas de sabor en México: prevalencia, proporción de uso entre fumadores y predictores de consumo. Ensanut 2018-19. Salud Pública de México, 62(6), 820-828. doi: 10.21149/11566

Citation:

Zepeta Hernández, D., Armendáriz-García, N. A., Alonso Castillo, M. M., & del Ángel Salazar, E. M. (2024). Cultural adaptation and psychometric properties of the scale of attitudes towards conventional cigarettes among Mexican university students. Salud Mental, 47(3), 99-105. DOI: 10.17711/SM.0185-3325.2024.014