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<= span style=3D'font-size:12.0pt;font-family:"Arial",sans-serif'>Cribado e interven= ción breve digital en el uso problemático de Internet: Programa pi= ensaTIC

<= span lang=3DEN-US style=3D'font-size:12.0pt;font-family:"Arial",sans-serif;mso-an= si-language: EN-US'>Electronic screening and brief intervention in the problematic Intern= et use: PiensaTIC Program<= /p>

=  

=  

Juan Díaz Salabert y María Isabel Gómez Torres

Asociación para l= a prevención de adicciones en adolescentes y jóvenes, ADIADOS. Málaga, Espa= ña

=  <= /span>

<= span style=3D'font-size:10.0pt;font-family:"Arial Narrow",sans-serif;mso-bidi-fon= t-family: Arial'>Resumen

La integración del cribado, la intervención breve y la derivación al tratami= ento es una estrategia preventiva y asistencial que ha demostrado eficacia en la mej= ora de la salud de los consumidores de alcohol y otras drogas. Su versión digit= al ha demostrado una mayor facilidad para su extensión y aceptación entre los adolescentes y jóvenes. Debido a la necesidad de desarrollar actuaciones eficientes para la prevención y reducción de riesgo del uso problemático = de internet en la población escolar, se propone en este trabajo la adaptación= de esta metodología para su utilización en la prevención de este problema en= dicha población. El Programa PiensaTIC es un programa de cribado e intervención = breve administrado vía web que se ha desarrollado de forma piloto con estudiantes= de enseñanzas secundarias en la ciudad de Málaga. Se describen en este artíc= ulo las características de este programa preventivo y sus resultados respecto a= l conocimiento de las diferentes formas de uso de internet por parte de los adolescentes estudiados. En este estudio se encuentran diferencias entre los tipos de conductas online más frecuentes entre alumnos y alumnas así como prevalencia y características diferenciales, según género, del uso proble= mático de internet.

 

Pal= abras clave: Cribado digital, intervención breve, uso problemático de internet. =

 

<= span lang=3DEN-US style=3D'font-size:10.0pt;font-family:"Arial Narrow",sans-serif= ; mso-bidi-font-family:Arial;mso-ansi-language:EN-US'>Abstract

The integration of screening, brief interventions, and referral to treatment is a preventive an= d care strategy that has demonstrated effectiveness in improving the health of alco= hol and other drug users. The implementation of this strategy in its digital for= m has facilitated its spread and acceptance among adolescents and young people. Th= e objective of this study was to adapt this methodology in order to develop efficient actions to prevent and reduce the risk of problem internet use amo= ng the school population. The PiensaTIC Program is a web-based screening and br= ief intervention pilot application that has been administered to secondary schoo= l students in the city of Malaga (Spain). This article describes the features = of this preventive program and its results regarding the different forms of int= ernet usage by the adolescents studied. Differences were found between male and female students in relation to the most common types of online behavior, as well as differences in prevalence and the differential characteristics of problem internet use by gender.

 =

Keywords: Electronic screening, brief intervention, problematic internet use

 

 =

Correspondencia: Juan Díaz Salabert. Asociació= n para la Prevención de Adicciones en Adolescentes y Jóvenes ADIADOS. C/ Men= doza, 25. 29002 Málaga. E-mail: juan.diazsal@gmail.com. E-mail de la coautora María Isabel Gómez Torres: mai= gotomalaga@gmail.com.

 

Cómo citar este artículo: Díaz, J. y Gómez-Torres, M. I. (2019). = Cribado e Intervención Breve Digital en el Uso Problemático de Internet: Programa = piensaTIC. Estudios de Psicología, 12, pp.

 

 


 

Introducción

El cribado, la intervención breve y = la derivación al tratamiento (SBIRT por las siglas en inglés de Screening, Brief Intervention, and Referral to Treatment) es un enfoque integral de= sarrollado para la prestación de servicios de intervención temprana y la detección d= e las personas con trastornos por consumo de sustancias o en riesgo de padecerlos (Babor, McRee, Kassebaum, Grimaldi, Ahmed y Bray, 2007). Es una estrategia q= ue se puede aplicar de manera flexible en diferentes entornos de atención clí= nica (Derges, Kidger, Fox, Campbell, Kaner y Hickman, 2017). Se ha adaptado para su uso en servicios de emergencia hospitalarios (Barata et al., 2017), (Landy, Davey, Quintero, Pecora, y McShane, 2016), centros de atención primaria (Hargraves= et al., 2017) y otros entornos comunitarios, brindando oportunidades de intervención precoz con usuarios de sustancias en riesgo antes de que ocurr= an consecuencias más graves (Borus, Parhami y Levy, 2016).

En la práctica co= nsta de tres etapas: El cribado o detección de sujetos en riesgo mediante prueba= s cortas y validadas, la intervención motivacional breve y la adecuada deriva= ción al tratamiento cuando proceda. Esta estrategia de evaluación e intervenció= n se desarrolló inicialmente en los años noventa del pasado siglo para los tras= tornos por consumo de alcohol (Dimeff, Baer, Kivlahan y Marlatt, 1999), pero su uso= se ha ampliado para incluir el uso de otras sustancias (Harris, Louis-Jacques y= Knight, 2014), (Wright, 2017) acumulando sobrada evidencia de que produce mejoras a = corto plazo en la salud de los consumidores de alcohol y otras drogas. Aunque toda= vía no se han demostrado los efectos a largo plazo en la salud de la población,= los modelos de simulación sugieren que los beneficios podrían ser sustanciales (Babor et al., 2007).

Coincidiendo con el creciente interés por el desarrollo de la “e-S= alud” (eHealth en inglés), término con el que se define al conjunto de tecnologías = de la información y la comunicación que se emplean en el entorno sanitario, se han desar= rollado métodos alternativos para la aplicación de elementos clave del cribado y l= a intervención breve mediante dispositivos digitales. Estos procedimientos so= n conocidos como cribado e intervención breve digital (Electronic Screening and Brief Inter= vention o e-SBI en inglés).

Este formato digital para l= a detección e intervención en las conductas adictivas ha sido especialmente impulsado por su idoneidad para la intervención con adolescentes y jóvenes= (Fraeyman, Van Royen, Vriesacker, De Mey y Van Hal, 2012). Existe evidencia de que los adolescentes perciben que los cuestionarios sobre el uso de sustancias administrados por ordenador son más confidenciales que los formatos de láp= iz y papel o las entrevistas presenciales y, por tanto, proporcionan respuestas m= ás válidas y precisas en cribados y pruebas de evaluación administrados media= nte dispositivos electrónicos. (Pedersen, Grow, Duncan, Neighbours= , y Larimer, 2012). Se han estudiado los elementos clave que facilitan la aceptación de estas actuaciones entre los jóvenes: la facilidad de acceso, la corta durac= ión, el lenguaje claro y sin prejuicios, los comentarios normativos personalizado= s y los enlaces a los servicios apropiados (Hallett, Maycock, Kypri, Howat y McManus, 2009).

Aunque la gran mayoría de las intervenciones de este tipo se han dirigido a jóvenes con riesgo de uso abusivo de alcohol (Cronce, Bittinger,= Liu y Kilmer, 2014), también se han desarrollado para su aplicación en el cons= umo de cannabis (Walton et al., 2013) y otras drogas (Boumparis, Karyotaki, Scha= ub, Cuijpers y Riper, 2017).

El cribado e intervención breve digital implica, co= mo mínimo, la detección de individuos con riesgo de desarrollar conductas adictivas y una intervención breve que proporciona comentarios personalizad= os sobre los riesgos y las consecuencias de su comportamiento. Esta intervenci= ón mínima puede incluir otros elementos comunes a la intervención breve tradicional c= omo el feedback o retroalimentación motivacional. La retroalimentación motivacional básica incluye consejos generales sobre cómo reducir el consu= mo excesivo de alcohol. La retroalimentación personalizada proporciona mensaje= s más individualizados según la disposición del sujeto para cambiar y sus objetivos personales. Otro elemento posible es la retroalimentación normativa, que compara el consumo de alcohol de un indivi= duo con el de su grupo de referencia. Los resultados de algunos estudios (Bewick= et al., 2010) sugieren que la integración de la retroalimentación normativa s= obre el consumo de alcohol entre pares es un enfoque prometedor en las intervenciones enfocadas en adolescentes.

La Figura 1 ilustr= a el modelo conceptual desarrollado por Tansil et al., (= 2016a) para indicar las vías causales a través de las cuales se espera que el cribado y la intervención breve digital reduzca el consumo excesivo de alco= hol y los daños relacionados. Este modelo postula que la implementación de est= a metodología aumentará el número de personas examinadas por su conducta de riesgo y que aquellos que superen los puntos de corte establecidos en el programa recibirán una intervención breve. Esto puede conducir a una mayor conciencia de las consecuencias nocivas de su conducta y puede motivar a est= as personas a modificar sus patrones conductuales hacia una disminución de los daños relacionados con sus comportamientos adictivos.

 <= /span>

Diversos estudios = han demostrado reducciones significativas en el consumo semanal de alcohol entre las condiciones de intervención y de control, lo que sustenta que es una intervención efectiva. (Donoghue, Patton, Phillips, Deluca y Drummond, 2014= ). La Community Preventive Services Task Force que asesora al Departamento = de Salud y Servicios Humanos del gobierno de EE. UU. recomienda el cribado y la intervención breve digital para reducir el consumo excesivo de alcohol y lo= s problemas relacionados basándose ​en las revisiones y metaanálisis que h= an realizado (Tansil et al., 2016b).

La intervención d= igital puede ser superior a la realizada en persona para usuarios con bajos niveles= de gravedad del problema (Baumann, Gaertner, Haberecht, Bischof, John y Freyer-Adam, 2018). Es, por tanto, un enfoque especialmente idóneo para las actuaciones dirigidas a la prevención de comportamientos adictivos antes de= que estén fuertemente arraigados. La evidencia actual sugiere que tanto la prevención universal como la selectiva basadas en = ;intervenciones breves online sobre el consumo abusivo de alcohol con adolescentes pueden dar lugar= a cambios clínicamente importantes en entornos educativos (Ganz, Braun, Lagin= g, Schermelleh-Engel, Michalak y Heidenreich, 2018), de atención primaria (Kyp= ri, Langley, Saunders, Cashell-Smith y Herbison, 2008) y hospitalarios (Duroy, Boutron, Baron, Ravaud, Estellat y Lejoyeux, 2016).

De forma paralela = al desarrollo de estos avances en la prevención de los riesgos y daños asocia= dos al consumo de alcohol y otras drogas, en la última década ha surgido una c= reciente preocupación social por las consecuencias negativas que pueden sufrir las p= ersonas con un uso abusivo de su conexión a internet, por lo que se han generado un gran número de estudios sobre la etiología, características y métodos de evaluación de estos tipos de comportamientos disfuncionales asociados al us= o de las tecnologías de la información y la comunicación.

Tanto las definiciones como los criterios de diagnóstico y las herramientas de evaluación desarrolladas, enfatizan las similitudes entre estas conductas y= los comportamientos adictivos con los que comparten síntomas como: a) usar Inte= rnet por más tiempo de lo previsto, b) preocupación por Internet, c) síntomas = de abstinencia cuando no se puede acceder a Internet, d) intentos fallidos de detener o reducir el uso de Internet, e) pérdida de interés en pasatiempos= o actividades que no sean Internet, f) uso excesivo de Internet a pesar d= el conocimiento de problemas relacionados, g) uso de Internet para escapar o al= iviar estados de ánimo negativo, y h) mentir sobre el uso de Internet. (Li, O’B= rien, Snyder y Howard, 2016).

La literatura sobre adicción a Internet refleja dos escuelas de pensamiento: aquellos autores que creen que la adicción a Inter= net merece ser clasificada como un trastorno psiquiátrico nuevo o emergente por derecho propio, y aquellos que plantean que existe un uso problemático de Internet en relación con actividades específicas on-line, como el juego de= azar, el uso de las redes sociales, los videojuegos o la pornografía. A pesa= r de la falta de investigación metodológicamente sólida, la evidencia parece a= poyar la segunda perspectiva (Yellowlees y Marks, 2007).<= /p>

Además del concepto de adicción a Internet (Goldberg, = 1996), existe una amplia utilización de los siguientes términos: uso problemátic= o de Internet (Shapira et al., 2003), uso patológico de Internet (Morahan-Martin= , 2004) y uso compulsivo de Internet (Greenfield, 1999). Consideramos que el termino más genérico de los propuestos es el Uso Problemático de Internet= (UPI), que puede conceptualizarse como la incapacidad de controlar el uso de Internet q= ue tiene consecuencias negativas en la vida diaria (Spada, 2014).

Los desacuerdos en= los criterios de diagnóstico y la falta de grandes estudios epidemiológicos ha= n ocasionado dificultades para establecer la prevalencia del UPI en la población general= . Existe una impresión generalizada de que el problema está especialmente extendido entre la población adolescente. Un amplio estudio realizado en siete paíse= s (Tsitsika et al., 2014) mostró que un 13,9 % de los escolares europeos pres= entaba Conducta Disfuncional en Internet definida por una puntuación en el Inte= rnet Addiction Test (IAT) (Young, 1998a) mayor de 40 puntos y un patrón de comportamiento caracterizado por la pérdida de control sobre el uso de Inte= rnet que potencialmente conduce al aislamiento y al descuido de las relaciones sociales, de las actividades académicas, de las actividades recreativas, de= la salud y de la higiene personal. España (con un 22,8% de la población estud= iada) presenta en este estudio la mayor prevalencia de este uso problemático de internet entre los adolescentes de todos los países participantes.

En otro estudio de= ámbito europeo realizado por Secades-Villa et al., (2014), se encontró una relaci= ón estadísticamente significativa entre la duración del uso de Internet y la frecuencia de uso de alcohol, tabaco, cannabis y otras drogas ilegales. La duración del uso de Internet también se asoció de forma significativa con problemas escolares, el uso de las máquinas tragaperras y otros problemas psicosociales. Se ha encontrado una asociación significativa del UPI con problemas de salud (migrañas, dolor lumbar, sobrepeso u obesidad, descanso insuficiente), psicológicos (riesgo de trastornos de la conducta alimentari= a, riesgo de trastorno mental, depresión) y problemas sociales y familiares (Fernández et al., 2015). Existe alguna evidencia de que el trastorno de adicción a Internet podría verse asociado a disfuncionalidades de tipo neurológico como reducciones en las vías de la materia blanca (Lin et al., 2012) y disminución de la conectividad funcional en circuitos cortico-estriatales (Hong et al., 2013).

En nuestro país los estudios más recientes confirman l= os resultados de Tsitsika et al. (2014), presentando una incidencia de adolescentes usuarios problemáticos o en alto riesgo cercano a un 20%. Así= se observa en el estudio realizado por Gómez, Rial, Braña, Varela y Barreiro = (2014) que encuentran un 19,9% de usuari= os problemáticos entre estudiantes de Educación Secundaria Obligatoria. Datos similares encuentra el Plan Nacional sobre Drogas (PNsD) en la Encuesta sobr= e Uso de Drogas en Enseñanzas Secundarias en España (ESTUDES), que constata en s= u edición realizada en el curso escolar 2016-17 que el uso compulsivo de inte= rnet había crecido en nuestro país hasta el 21% entre los estudiantes de 14 a 1= 8 años. Esto supone un 4,6% más que en la anterior edición de ESTUDES reali= zada dos años antes (Plan Nacional sobre Drogas, 2018). Para medir este comportamiento se utilizó la escala CIUS (Compulsive Internet Use Scale) (Meerkerk, Van Den Eijnden, Vermulst y Garretsen, 2009). <= /span>

Aunque se están desarrollando programas de prevención = y tratamiento de las adicciones en internet que han mostrado cierta efectivida= d (Wölfling et al., 2019) aún escasean los programas disponibles ante la gen= eralización de este fenómeno en nuestra sociedad. Debido a las importantes similitudes entre las conductas asociadas a los trastornos por uso de sustancias y el us= o problemático o adictivo de internet, los autores de este trabajo hemos cons= iderado adecuado desarrollar un programa de Cribado e Intervención Breve Digital v= ía web dirigido a la prevención y la reducción de los riesgos del uso problem= ático de Internet.

Este novedoso programa denominado PiensaTIC espera generalizar a este campo los resultados positivos obtenidos por esta metodología en el ámbito de los trastornos por uso de alcohol y otras sust= ancias.

Los objetivos de este programa preventivo y, por tanto, = los resultados esperables de esta experiencia son de dos tipos. Por un lado, los cambios buscados en las actitudes y comportamientos de los estudiantes para reducir sus conductas de riesgo asociadas al UPI. Por otro, el conocimiento = de las características del uso de internet y su nivel de uso problemático en = el grupo de escolares que han participado en el programa. Respecto a los primer= os, aún no podemos ofrecer resultados, ya que el diseño de la evaluación de e= ste programa prevé que se realice una vez terminado el presente curso 2019-2020= . Se presentan en el presente trabajo los resultados del segundo objetivo.

 

<= span style=3D'font-size:10.0pt;font-family:"Arial",sans-serif'>Método=

Participantes=

Los participantes en la primera edici= ón piloto de este programa fueron los estudiantes pertenecientes a tres Institu= tos de Enseñanza Secundaria (IES) de la ciudad de Málaga que voluntariamente visitaron la web del programa y cumplimentaron todas las preguntas del cuestionario de su aplicación informática durante los meses de mayo y juni= o de 2019.

En total lo realiz= aron 309 escolares con una edad comprendida entre los 12 y los 19 años, siendo el 49= , 51 % chicos (n=3D153) y el 51,49 % chicas (n=3D156), con edades entre 12 y 19 añ= os (M=3D 14.99 y DT=3D 1,46) y cursando en ese momento la ESO (Enseñanza Secundaria Obligatoria) y el primer curso de Bachillerato.

=  <= /span>

Instrumentos

Para valorar el uso problemático de internet se utiliza= ron dos escalas:

 <= /span>

-&nbs= p; Escala de Uso Compulsivo de Internet (Compulsive Internet Use Scale, CIUS; Meerkerk, Van D= en Eijnden, Vermulst y Garretsen, 2009) que contiene 14 elementos que represent= an los elementos centrales del comportamiento compulsivo o adictivo clasificabl= es en una escala Likert de 5 puntos, con una puntuación máxima de 56. CIUS ha mostrado buena estabilidad factorial en diferentes muestras de población y = su consistencia interna es alta, demostrando una alta validez. Como punto de co= rte para la definición alto riesgo de uso compulsivo o problemático se ha consiserado, al igual que ESTUDES 2016-17 (Plan Nacional sobre Drogas, 2018)= , el punto de corte de 28 puntos.

 

-&nbs= p; Cuestionario de Diagnostico de Young (Young's Diagnostic Questionnaire, YDQ; Young, 1998b) es un cuestionario breve con un formato de respuesta "sí" = o "no". Las ocho cuestiones del YDQ se basan en los criterios para e= l juego patológico en la cuarta edición del Manual diagnóstico y estadísti= co de los trastornos mentales DSM-IV (American Psychiatric Association, 2002): pre= ocupación, tolerancia, pérdida de control, abstinencia, pérdida de relaciones u oport= unidades, mentiras para evitar conflictos y afrontamiento disfuncional. En la aplicaci= ón de este instrumento está generalizada la puntuación de 5 o más criterios positivos como punto de corte para evaluar el uso problemático o adictivo d= e internet (Dowling & Quirk, 2009).

 <= /span>

Al comparar el YDQ= con el CIUS existen coincidencias en la valoración de varios indicadores de conducta adictiva incluidos en ambos instrumentos, pero el YDQ incluye la valoración de algunos síntomas propios de las conductas adictivas como la tolerancia y la abstinencia que pueden señalar un nivel de trastorno más g= rave. Se considera que utilizando una combinación de estas escalas se recogen mej= or los signos y síntomas del UPI que reflejan los criterios de diagnóstico pa= ra el trastorno por el uso de sustancias, el trastorno de juego patológico y el trastorno por juegos en internet. (Li, O`Brien, Snyder & Howard, 2016).<= o:p>

El cuestionario de= la aplicación web piensaTIC incluye, además, otras cuestiones diseñadas para valorar en cada estudiante:

 <= /span>

- La autopercepci= ón de normatividad de su comportamiento en internet en relación con su grupo de referencia (Gersh, Lee y McCarty, 2019).

 <= /span>

- El estadio motivacional del cambio en el que se encuentra en la actualidad, su percepci= ón de la importancia del mismo y su autoeficacia para afrontar dicho cambio. (DiClemente, Prochaska, Fairhurst, Velicer, Velasquez, Rossi, 1991).

=  <= /span>

Procedimiento=

Para la primera edición del programa= y para este trabajo se contactó con los orientadores educativos de tres IES d= e Málaga al objeto de conocer su opinión sobre la conveniencia de aplicar un programa de prevención del uso problemático de internet en sus respectivos centros escolares encontrando una excelente acogida a la propuesta en todos = los casos. Estos profesionales facilitaron reuniones con los profesores tutores = del centro, quienes dieron a conocer su opinión sobre la incidencia de este fenómeno en sus aulas y su disposición favorable a tratar el problema con = sus estudiantes en sus espacios de tutoría, animándoles a visitar la página web www.piensaticplus.org y a cumplimentar el cuestionario de = la aplicación desde sus ordenadores o sus teléfonos móviles

Al hacerlo, los es= tudiantes encontraban los siguientes contenidos administrados de forma automática por= el algoritmo del programa informático de esta aplicación:

 <= /span>

1.   Autoevaluación de las actitudes y comportamientos de riesgo asociados a su uso de internet = en las siguientes áreas: uso de redes sociales, uso de videojuegos, exposició= n a contenidos violentos y/o pornográficos, y juegos de azar y apuestas.

2.   Informe preventivo personalizado según su nivel de riesgo (Bajo Riesgo: CIUS<19,= Riesgo: CIUS >18 Y <28, Alto Riesgo: CIUS =3D o > 28 y Muy Alto Riesgo: IDQ= =3D 0 >5).

3.   Feedback sobre su percepción normativa del propio u= so de internet en contraste con los datos sobre la incidencia y característica= s de este uso en su grupo de referencia.

4.   Información individualizada sobre los efectos y riesgos del uso problemático de interne= t y estrategias de reducción de sus riesgos personales en función de sus respu= estas y su motivación para el cambio.

5.   Oferta de asesoría on-line e información de recursos de ayuda para los cas= os que lo precisaran.

 

Además de estos contenidos dirigidos= a los estudiantes, los educadores y familiares encuentran en el sitio web del programa información útil y contrastada sobre los riesgos asociados al uso problemático de Internet y las estrategias básicas para su reducción y prevención. De forma confidencial y con un código para cada centro los edu= cadores pueden conocer en tiempo real el nivel de participación de los estudiantes = y sus patrones de uso de internet, destacando la proporción de estudiantes po= r nivel de riesgo en cada centro.

 

Resultados

En relación con los contenidos en lo= s que se implican en internet los escolares de nuestra muestra, se encuentra u= n uso frecuente, generalizado, y sin diferencia de género, de las redes socia= les. Sí existen diferencias por género en cuanto a la participación en el rest= o de las actividades online: videojuegos (especialmente los de guerra en primera persona), páginas de adultos y juegos de apuestas. Todos estos usos son muc= ho más frecuentes entre los chicos que entre las chicas. Entre las mujeres solo una minoría refiere participar en videojuegos y muy pocas reconocen visitar pá= ginas de adultos. Mientras que el 9,15 % de los varones reconocen apostar dinero o= nline con cierta habitualidad, entre las alumnas esta práctica es totalmente excepcional.

 

Tabla 1

Frecuencia de las diferentes actividades en inter= net

 

 

% TODOS

% CHICOS=

% CHICAS=

 

Uso de las redes sociales

 

De 1 a 4 días a la semana

8,41

9,15

7,69

 

De 5 a 7 días a la semana

85,76

84,97

86,54

 

Varias veces a la semana

94,17

94,12

94,23

 

Juegos de guerra o = en primera persona.

 

De 1 a 4 días a la semana

27,83

44,44

11,54

 

De 5 a 7 días a la semana

20,71

35,29

6,41

 

Varias veces a la semana

48,54

79,74(**)

17,95

 

Juegos de deportes = o de habilidad

De 1 a 4 días a la semana

24,60

35,95

13,46

 

De 5 a 7 días a la semana

12,62

18,95

6,41

 

Varias veces a la semana

37,22

54,90(**)

19,87

 

Páginas para adult= os.

 

De 1 a 3 días al m= es

7,44

11,76

3,21

 

De 1 a 4 días a la semana

11,33

20,26

2,56

 

De 5 a 7 días a la semana

16,18

30,72

1,92

 

Varias veces al mes= o a la semana

34,95

62,75(**)

4,49

 

Juego de dinero en juegos de casino o apuestas.

 

De 1 a 3 días al m= es

1,94

3,92

0,00

 

De 1 a 4 días a la= semana

0,97

1,96

0,00

 

De 5 a 7 días a la semana

1,94

3,27

0,64

 

Varias veces al mes= o a la semana

4,85

9,15(**)

0,64

 

** p < .01 segú= n test chi cuadrado entre sexo y puntuación de cada ítem

 

El 25,57 % de los participantes cumple el criterio de uso compulsivo de internet seg= ún la escala CIUS. No existen diferencias de importancia entre la proporción de chicos y chicas que cumplen este criterio según este instrumento de evaluac= ión. Cuando usamos la escala YDQ para definir el uso problemático de internet, encontramos que un 20,06% de los participantes alcanza la puntuación que ha= bitualmente se usa como punto de corte en esta escala: cinco síntomas o más de comportamiento adictivo. Aunque este resultado es un porcentaje total del alumnado muy cercano al que cumple el criterio de uso compulsivo según la escala CIUS, se observa, utilizando la escala YDQ, que un porcentaje significativamente mayor de varones que de mujeres pueden ser clasificados dentro de la categoría del uso problemático de internet.=

 

Tabla 2<= span style=3D'font-size:9.0pt;font-family:"Arial",sans-serif;mso-fareast-font-f= amily: "Times New Roman";color:black;mso-fareast-language:ES'>.=

 uso problemático de internet

% TODOS<= /span>

% CHICOS=

% CHICAS=

CIUS =3D > 28

25,57

27,45

23,72

YDQ =3D > 5=

20,06

25,49(**)

14,74

  =   ** p < .01 según test chi cuadrado entre sexo y puntuación en ca= da escala

 <= /span>

A continuación, se muestra la propor= ción de alumnos y alumnas que puntúan alto en cada ítem de la escala CIUS, enco= ntrándose algunas diferencias significativas en cuanto a la frecuencia de la presentac= ión de cada síntoma o consecuencia del comportamiento adictivo entre los chicos= y las chicas.

 <= /span>

<= v:shape id=3D"Imagen_x0020_1" o:spid=3D"_x0000_i1025" type=3D"#_x0000_t75" style= =3D'width:454pt; height:376pt;visibility:visible;mso-wrap-style:square'>

 

Ante la existencia de un número importante = de alumnos y alumnas que muestran un claro riesgo de UPI, se valoró la disposición de= los estudiantes de nuestra muestra a realizar cambios en su conducta, distribuy= éndolos por estadios del cambio según sus contestaciones en el cuestionario (DiClem= ente et al, 1991). Aunque la mitad de los participantes no se plantea cambiar, la otra mitad se lo plantea en ocasiones, ha decidido hacer cambios en su uso d= e internet o lo está intentando.

 

Tabla 4<= /span>

Motivación hacia e= l cambio

ESTA= DIOS DEL CAMBIO

% TODOS<= /span>

% CHICOS=

% CHICAS

PRECONTEMP= LACIÓN

No me esto= y planteando cambiar mi forma de usar internet

48,54

52,94

44,23

CONTEMPLAC= IÓN

A veces pienso que me podría interesar usar internet de otra forma

18,12

16,34

19,87

PREPARACI= ÓN

He decidid= o cambiar en algo mi forma de usar internet

11,65

13,07

10,26

ACCIÓN

Estoy intentando cambiar mi forma de usar internet

11,33

8,50

14,10

MANTENIMIE= NTO

Hace tiemp= o que intenté y logré cambiar mi forma de usar internet<= /p>

7,12

7,19

7,05

RECAIDA

Hace tiemp= o cambié mi forma de usar internet, pero después volví<= /p>

3,24

1,96

4,49

 

Discusión

Dentro de las evidentes limitaciones = de este estudio, los datos aportan algunos aspectos que señalan tendencias o circunstancias que pueden tener interés para su estudio en futuros trabajos= con diseños más concluyentes.

En primer lugar, s= e puede señalar la coincidencia de datos del presente estudio con los de otro= s en cuanto a la generalización del uso recreativo de internet entre los estudia= ntes de enseñanza secundaria. También en el hecho de que diferentes usos de int= ernet son mucho más frecuentes entre los alumnos que entre las alumnas (Durkee et al., 2012) (Fernández et al., 2015). Esta diferencia puede ser de importanc= ia. Diferentes conductas online pueden suponer diferentes formas de desarrollo de un uso problemático de internet (Griffiths,M.D., Pontes, H.M.= ,2014).

Se encuentran, en = un porcentaje apreciable del alumnado estudiado, signos y síntomas de un compo= rtamiento problemático o adictivo. Utilizando para su detección la puntuación de 28= o más puntos en la escala CIUS, el Plan Nacional sobre Drogas encontró en su encu= esta ESTUDES del curso 2016-17 que el 21 % de los alumnos de 14 a 18 años hacía= n un uso compulsivo de internet, manteniéndose en el 20 % en el curso 2018-19 (P= lan Nacional sobre Drogas, 2019). Usando idéntico punto de corte de la misma es= cala encontramos que la incidencia del uso compulsivo o problemático en nuestra población es algo mayor (un 25,57 %) pero claramente en la tendencia mostra= da en dicha encuesta nacional. Aunque la última encuesta de ESTUDES muestra una diferencia entre la proporción de chicos y de chicas (16,4 % ellos y 23,4 % ellas) que presentan uso compulsivo, no encontramos en este trabajo una dife= rencia significativa por género o, en todo caso, un mayor porcentaje de uso compul= sivo entre los alumnos que entre las alumnas cuando se mide con este instrumento (27,45% ellos y 23,72% ellas).

Cuando se utiliza = la escala YDQ para valorar este uso problemático o adictivo se encuentra un porcentaje de estudiantes que presenta UPI algo menor que usando el CIUS, pe= ro no muy distinto (un 20% del total del grupo estudiado alcanza el punto de co= rte de 5 o más criterios positivos de dependencia propio de esta escala). Sin embargo, con este método de diagnostico las diferencias de género son bast= ante más evidentes, alcanzando el criterio establecido el 25,49% de los chicos frente= al 14,74% de las chicas. Esta diferencia puede deberse a variables propias del = género, a las diferentes conductas online mas extendidas entre un género y o= tro, o a una interacción de ambas variables.

Al estudiar la ocu= rrencia de los diferentes síntomas o consecuencias del comportamiento adictivo refl= ejados en las escalas utilizadas para diagnosticarlo en el grupo estudiado, se obse= rva que el uso de internet como forma habitual de afrontar las emociones negativ= as es bastante común entre los participantes. Este uso de internet como intent= o de aliviar las emociones negativas está especialmente extendido entre las alum= nas, ya que reconocen hacerlo a menudo, o muy frecuentemente, un 44,23 % de las mismas frente a un 33,29 % de los alumnos. Más de la cuarta parte de los adolescentes independientemente de su género reconoce sentir con bastante frecuencia síntomas de pérdida de control sobre la duración de su uso de internet, alargando su tiempo de conexión o conectándose más frecuentemen= te de lo que pretendían. Una proporción similar, reconoce sentir con bastante frecuencia deseos de conectarse a internet sin existir tampoco diferencia de género en este síntoma adictivo. El 18,45% de la muestra reconoce síntoma= s de tolerancia y necesidad progresiva de incrementar su implicación en su uso d= e internet siendo este síntoma más común entre los alumnos (21,57%) que ent= re las alumnas (15,38%). Estos síntomas pueden ir asociados con cierta frecuencia = a experimentar síntomas de tolerancia (18,45%) y abstinencia cuando la conexión no es pos= ible (11,65%), ambos síntomas en mayor grado entre los chicos que entre las chic= as. Las consecuencias del uso de internet reflejadas en conflictos con la familia y otras personas significativas son también detectables en mayor proporción = entre los alumnos que entre las alumnas. Todos estos síntomas recuerdan en gran medida a los de los trastornos por uso de sustancias poniendo de manifiesto = el nexo entre las adicciones a sustancias y las conductuales.

Ante un comportami= ento problemático que implica la existencia de consecuencias negativas sufridas = por los propios sujetos de estas conductas, surge la pregunta sobre la conscienc= ia de perjuicio y el interés por cambiar, para eliminar o reducir los daños, = en nuestra población. Utilizando el algoritmo de clasificación de estadios m= ás común en el modelo transteórico del cambio (Díaz, 2001), encontramos que la mitad de la población estudiada se encuentra en e= l estadio de Precontemplación (estadio de cambio en el que los sujetos no val= oran los eventuales perjuicios de su conducta y por tanto no se plantean en absol= uto cambiarla). Pero casi un tercio de los participantes en nuestro estudio (un 29,77 %) refieren encontrarse en los estadios de Contemplación (siendo en ocasiones conscientes de las consecuencias negativas de su comportamiento y = por tanto ambivalentes ante el mismo) o Preparación para el cambio (teniendo decidido realizar cambios en un futuro muy próximo). Un 21,69 % de los adolescentes estudiados se encuentra en Acción o Mantenimiento, por lo que = está intentando cambiar, o ha cambiado ya, su forma de usar internet. Estos datos indican la existencia de un apreciable nivel de motivación para cambiar los eventuales usos problemático de internet por parte de los estudiantes de lo= s IES en los que hemos intervenido y muestran una interesante ventana de oportunidad para seguir trabajando en el diseño y aplicación de intervenci= ones dirigidas a prevenir o a reducir los riesgos del uso de internet en esta población.

 <= /span>

Nota= s de autor

La realización de este programa preventivo recibió una subvención para su diseño y desarrollo de la Conse= jería de Igualdad y Políticas Sociales de la Junta de Andalucía

 

 


 

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