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2017, Número 1

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Salud Mental 2017; 40 (1)


Effect of substance use on condom use in the Theory of Planned Behavior: Analysis of differential item functioning

Sánchez-Domínguez R, Villalobos-Gallegos L, Felix-Romero V, Morales-Chainé S, Marín-Navarrete R
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Idioma: Ingles.
Referencias bibliográficas: 51
Paginas: 5-14
Archivo PDF: 429.61 Kb.


PALABRAS CLAVE

Condón, consumo de sustancias, actitudes, autoeficacia, normas subjetivas, adultos jóvenes.

RESUMEN

Introducción. El consumo de sustancias es uno de los factores asociados a un menor uso de condón en jóvenes adultos, lo cual aumenta la probabilidad de contagio de VIH. La Teoría de la Conducta Planeada (TCP) es uno de los modelos más útiles para explicar este fenómeno ya que considera la intención de llevar a cabo una conducta basándose en actitudes, normas subjetivas y autoeficacia. Objetivo. Desarrollar un cuestionario y evaluar el Funcionamiento Diferencial de los Ítems (DIF) ocasionado por el consumo de sustancias en los indicadores de la TCP, utilizando el análisis Múltiples Ítems Múltiples Causas (MIMIC). Método. El estudio se llevó a cabo en dos etapas con estudiantes universitarios de 18 a 25 años de la Ciudad de México. Resultados. Se obtuvo una adecuada bondad de ajuste en los tres modelos de la TCP: actitudes χ2 S-B(2) = 3.902, p ‹ .001; CFIs = .999; TLIs = .996; RMSEAs = .037, 90% IC ≤ .001-.095; normas subjetivas χ2 S-B(7) = 9.103; p ‹ .245; CFIs = .999; TLIs = .998; RMSEAs = .022, 90% IC ≤ .001-.056; y autoeficacia χ2 S-B(25) = 65.115; p ‹ .001; CFIs = .982; TLIs = .974; RMSEAs = .050, 90% IC = .036-.066; un ítem en actitudes y 2 ítems en normas subjetivas se observó un efecto DIF, y en autoeficacia ningún ítem salió significativo. Discusión y conclusión. Existe poca evidencia en la detección de DIF por uso de sustancias en los indicadores de la TCP en uso de condón, siendo éste el primer estudio que lleva a cabo este tipo de análisis. Los ítems que presenten DIF abren la puerta a futuras investigaciones, debido a la importancia de evaluar cómo se comporta el indicador con una población que tenga un rasgo en particular.


REFERENCIAS (EN ESTE ARTÍCULO)

  1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. http://doi.org/10.1016/0749-5978(91) 90020-T.

  2. Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Prediciting Social Behaviour. Englewood Cliffs: Prentice Hall.

  3. Albarracín, D., Johnson, B. T., Fishbein, M., & Muellerleile, P. a. (2001). Theories of reasoned action and planned behavior as models of condom use: a meta-analysis. Psychological Bulletin, 127(1), 142–161. http://doi.org/10.1037/0033- 2909.127.1.142

  4. Alvarez, C., Villarruel, A. M., Zhou, Y., & Gallegos, E. (2010). Predictors of condom use among Mexican adolescents. Research and Theory for Nursing Practice, 24(3), 187–196. http://doi.org/10.1891/1541-6577.24.3.187

  5. Andrew, B. J., Mullan, B. A., de Wit, J. B. F., Monds, L. A., Todd, J., & Kothe, E. J. (2016). Does the Theory of Planned Behaviour Explain Condom Use Behaviour Among Men Who have Sex with Men? A Meta-analytic Review of the Literature. AIDS and Behavior, 1–11. http://doi.org/10.1007/s10461-016-1314-0

  6. Armitage, C. J., & Conner, M. (2001). Efficacy of the Theory of Planned Behaviour: a meta-analytic review. The British Journal of Social Psychology / the British Psychological Society, 40(Pt 4), 471–499. http://doi.org/10.1348/014466601164939

  7. Beauducel, A., & Herzberg, P. Y. (2006). On the Performance of Maximum Likelihood Versus Means and Variance Adjusted Weighted LEast Squares Estimation in CFA. Structural Equation Modeling, 13(2), 204–228. http://doi.org/10.1207/ s15328007sem1302

  8. Benjamini, Y., & Hochberg, Y. (1995). Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society. Series B (Methodological), 57(1), 289–300. http://doi.org/10.2307/ 2346101

  9. Bennett, P., & Bozionelos, G. (2000). The theory of planned behaviour as predictor of condom use: A narrative review. Psychology, Health & Medicine, 5(3), 307–326. http://doi.org/10.1080/713690195

  10. Calsyn, D. A., Baldwin, H., Niu, X., Crits-Christoph, P., & Hatch-Maillette, M. A. (2011). Sexual risk behavior and sex under the influence: An event analysis of men in substance abuse treatment who have sex with women. American Journal on Addictions, 20(3), 250–256. http://doi.org/10.1111/j.1521- 0391.2011.00123.x

  11. Centers for Disease Control and Prevention [CDC]. (2014). Sexually Transmitted Disease Surveillance 2013.

  12. Centro Nacional para la prevención y el control del VIH/SIDA [CENSIDA]. (2016). “Vigilancia Epidemiológica de casos de VIH/SIDA en México Registro Nacional de Casos de SIDA Actualización al 2do. Trimestre de 2016”.

  13. Conner, M., Sutherland, E., Kennedy, F., Grearly, C., & Berry, C. (2008). Impact of alcohol on sexual decision making: Intentions to have unprotected sex. Psychology & Health, 23(8), 909–934. http://doi.org/10.1080/08870440701596551

  14. Conrad, K. M., Conrad, K. J., Passetti, L. L., Funk, R. R., & Dennis, M. L. (2015). Validation of the Full and Short-Form Self-Help Involvement Scale Against the Rasch Measurement Model. Evaluation Review, 39(4), 395–427. http://doi.org/ 10.1177/0193841X15599645

  15. Cribbie, R. a. (2007). Multiplicity Control in Structural Equation Modeling. Structural Equation Modeling: A Multidisciplinary Journal, 14(1), 98–112. http://doi. org/10.1207/s15328007sem1401_5

  16. Crosby, R. A., Charnigo, R. A., Weathers, C., Caliendo, A. M., & Shrier, L. A. (2012). Condom effectiveness against non-viral sexually transmitted infections: a prospective study using electronic daily diaries. Sexually Transmitted Infections, 88(7), 484–9. http://doi.org/10.1136/sextrans-2012-050618

  17. Davis, K. C., Jacques-Tiura, A. J., Stappenbeck, C. A., Danube, C. L., Morrison, D. M., Norris, J., & George, W. H. (2015). Men’s Condom Use Resistance: Alcohol Effects on Theory of Planned Behavior Constructs. Health Psychology, 35(2), 178–186. http://doi.org/10.1037/hea0000269

  18. Donenber, G. R., Emerson, E., Bryant, F. B., Wilson, H., & Weber-Shifrin, E. (2001). Understanding AIDS-Risk Behavior Among Adolescents in Psychiatric Care: Links to Psychopathology and Peer Relationships. Journal of the American Academy of Child & Adolescent Psychiatry, 40(6), 642–653. http://doi. org/10.1097/00004583-200106000-00008

  19. Donovan, D. M., Bigelow, G. E., Brigham, G. S., Carroll, K. M., Cohen, A. J., Gardin, J. G. et al. (2012). Primary outcome indices in illicit drug dependence treatment research: systematic approach to selection and measurement of drug use end-points in clinical trials. Addiction, 107(4), 694–708. http://doi.org/10.1111/ j.1360-0443.2011.03473.x

  20. Ellickson, P. L., Collins, R. L., Hambarsoomians, K., & McCaffrey, D. F. (2005). Does alcohol advertising promote adolescent drinking? Results from a longi tudinal assessment. Addiction, 100(2), 235–246. http://doi.org/10.1111/j.1360- 0443.2005.00974.x

  21. Encuesta Nacional de Salud y Nutricion [ENSANUT]. (2012). Resultados Nacionales. Mexico: Cuernavaca.

  22. Enders, C. K., & Bandalos, D. L. (2001). The Relative Performance of Full Information Maximum Likelihood Estimation for Missing Data in Structural Equation Models. Structural Equation Modeling: A Multidisciplinary Journal, 8(3), 430–457. http://doi.org/10.1207/S15328007SEM0803_5

  23. Fishbein, M. (1980). A theory of reasoned action: some applications and implications. Nebraska Symposium on Motivation. Nebraska Symposium on Motivation, 27, 65–116. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/7242751

  24. Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley. http://doi. org/10.1017/CBO9781107415324.004

  25. Fishbein, M., & Ajzen, I. (2010). Predicting and changing behaviour: The reasoned action approach. New York: Psychology Press. http://doi. org/10.4324/9780203937082

  26. Francis, A. J. J., Eccles, M. P. M., Johnston, M., Walker, A., Grimshaw, J., Foy, R., … Francis, J. (2004). Constructing questionnaires based on the theory of planned behaviour: a manual for health services researchers. Direct. Newcastle, UK. http://doi.org/0-9540161-5-7

  27. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. http://doi. org/10.1080/10705519909540118

  28. Inmaculada, T., Bermudez, M. P., Ramiro, M. T., & Buela-Casal, G. (2014). Creencias religiosas y actitudes hacia el uso del preserVatiVo en adolescentes peruanos. Revista Mexicana de Psicología, 31(1), 41–49.

  29. Instituto Nacional de las Mujeres[INMUJERES]. (2012). Enfermedades de transmisión sexual y VIH-SIDA.

  30. Krippendorff, K. (1990). Metodología del análisis de contenido. (Paidos, Ed.). España.

  31. Lewis, T. T., Yang, F. M., Jacobs, E. A., & Fitchett, G. (2012). Racial/ethnic differences in responses to the everyday discrimination scale: a differential item functioning analysis. American Journal of Epidemiology, 175(5), 391–401. http:// doi.org/10.1093/aje/kwr287

  32. Maher, L., Phlong, P., Mooney-Somers, J., Keo, S., Stein, E., Couture, M. C., & Page, K. (2011). Amphetamine-type stimulant use and HIV/STI risk behaviour among young female sex workers in Phnom Penh, Cambodia. The International Journal on Drug Policy, 22(3), 203–9. http://doi.org/10.1016/j.drugpo.2011.01.003

  33. Malcolm, S., Huang, S., Cordova, D., Freitas, D., Arzon, M., Jimenez, G. L., … Prado, G. (2013). Predicting condom use attitudes, norms, and control beliefs in Hispanic problem behavior youth: the effects of family functioning and parent- adolescent communication about sex on condom use. Health Education & Behavior, 40(4), 384–391. http://doi.org/10.1177/1090198112440010

  34. Miles, J. N. V, Marshall, G. N., & Schell, T. L. (2008). Spanish and English versions of the PTSD Checklist-Civilian version (PCL-C): testing for differential item functioning. Journal of Traumatic Stress, 21(4), 369–76. http://doi.org/10.1002/ jts.20349

  35. Muthén, B., & Kaplan, D. (1985). A comparison of some methodologies for the factor analysis of non-normal Likert variables. British Journal of Mathematical and Statistical Psychology, 38(2), 171–189. http://doi.org/10.1111/j.2044-8317.1985. tb00832.x

  36. Muthén, L. K., & Muthén, B. O. (2002). How to Use a Monte Carlo Study to Decide on Sample Size and Determine Power. Structural Equation Modeling: A Multidisciplinary Journal, 9(4), 599–620. http://doi.org/10.1207/S15328007SEM0904_8

  37. Noar, S. M. (2006). A 10-Year Retrospective of Research in Health Mass Media Campaigns: Where Do We Go From Here? Journal of Health Communication, 11(1), 21–42. http://doi.org/10.1080/10810730500461059

  38. Prati, G., Mazzoni, D., & Zani, B. (2014). Perceived behavioural control, subjective norms, attitudes and intention to use condom: A longitudinal cross-lagged design. Psychol Health, 29(10), 1119–1136. http://doi.org/10.1080/08870446.20 14.913043

  39. Rich, A., Mullan, B. A., Sainsbury, K., & Kuczmierczyk, A. R. (2014). The role of gender and sexual experience in predicting adolescent condom use intentions using the theory of planned behaviour. The European Journal of Contraception & Reproductive Health Care, 19(4), 295–306. http://doi.org/10.3109/1362518 7.2014.917624

  40. Robles-Montijo, S., & Díaz-Loving, R. (2011). Validación de la Encuesta Estudiantil sobre salud sexual (EESS). (F. de E. S. Iztacala, Ed.). México.

  41. Rodríguez-Pérez, V., Valencia-Flores, M., Reyes-Lagunes, I., & Lara-Muñoz, M. del C. (2013). Adaptación y validación psicométrica del Cuestionario de Consecuencias Funcionales del Dormir (Functional Outcomes Sleep Questionnaire [FOSQ]) en habitantes de la Ciudad de México. Salud Mental, 36(4), 307–313.

  42. Sacolo, H. N., Chung, M.-H., Chu, H., Liao, Y.-M., Chen, C.-H., Ou, K.-L., … Chou, K.-R. (2013). High risk sexual behaviors for HIV among the in-school youth in Swaziland: a structural equation modeling approach. PloS One, 8(7), e67289. http://doi.org/10.1371/journal.pone.0067289

  43. Satorra, A., & Bentler, P. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66(4), 507–514. http://doi.org/10.1007/ bf02296192

  44. 44.Selikow, T.-A., Ahmed, N., Flisher, A. J., Mathews, C., & Mukoma, W. (2009). I am not “umqwayito’’: a qualitative study of peer pressure and sexual risk behaviour among young adolescents in Cape Town, South Africa. Scandinavian Journal of Public Health, 37 Suppl 2(2 suppl), 107–12. http://doi. org/10.1177/1403494809103903

  45. Starosta, A. J., Berghoff, C. R., & Earleywine, M. (2015). Factor structure and gender stability in the multidimensional condom attitudes scale. Assessment, 22(3), 374–84. http://doi.org/10.1177/1073191114547887

  46. Tyson, M., Covey, J., & Rosenthal, H. E. S. (2014). Theory of planned behavior interventions for reducing heterosexual risk behaviors: A meta-analysis. Health Psychology, 33(12), 1454–1467. http://doi.org/10.1037/hea0000047

  47. United Nations Programme on HIV and AIDS [UNAIDS]. (2014). Global statistics 2014.

  48. United Nations Programme on HIV and AIDS [UNAIDS]. (2015). Position statement on condoms and the prevention of HIV, other sexually transmitted infections and unintended pregnancy. Retrieved from http://www.unaids.org/es/resources/ presscentre/featurestories/2015/july/20150702_condoms_prevention

  49. Valle, E. D. V., Canizales, G. M., & Potter, J. E. (2010). Religión e iniciación sexual premarital en México. Revista Latinoamericana de Población, 4(7), 7–30.

  50. Vasilenko, S. A., & Lanza, S. T. (2014). Predictors of multiple sexual partners from adolescence through young adulthood. Journal of Adolescent Health, 55(4), 491–497. http://doi.org/10.1016/j.jadohealth.2013.12.025

  51. Yzer, M. C. (2012). The Integrative Model of Behavior Prediction as a Tool for Designing Health Messages, 21–40.




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