10.4185/RLCS-2020-1431
Research

Smartphone: in communication more than addiction

Smartphone: en comunicación, algo más que una adicción

Ubaldo Cuesta-Cambra1
Victoria Cuesta-Díaz2
Luz Martínez-Martínez1
José Ignacio Niño-González1

1Complutense University of Madrid. Spain
2Quirón Hospital Madrid. Spain

ABSTRACT
Different research have analysed Smartphone addiction (Young, 2009; Beard, 2005). However, there is still no solid theoretical basis that allows interpreting this addictive disorder from social psychology, nor a tool for a brief early diagnosis derived from this foundation (Cuesta, Cuesta & Martínez, 2019). It is essential to create tools to investigate the psychosocial mechanisms that underlie the problematic use of the Smartphone, and that provide knowledge that understand its psychosocial foundations and usage profiles.
Objective. The goal has been the creation of a brief questionnaire of addiction/problematic use to the Smartphone and to investigate the different psychosocial profiles of use.
Method. A meta-analysis of the literature allowed us to detect the empirically validated psychosocial factors on which there is greater consensus. Subsequently, three discussion groups and five in-depth interviews between experts and professionals were conducted. With these data, an abbreviated questionnaire was prepared and completed by a sample of university students twice (test-retest).
Results. The questionnaire obtained adequate Cronbach and test-retest values in all the items. The factor analysis made it possible to find 4 structural factors that were called: enveloping, socialized, virtualized and stressed. These denominations, which refer to the psychosocial factors present with greater weight in each factor, seem to indicate the existence of different patterns of problematic use of the mobile which means rethinking the addiction to the Smartphone not as a single concept and admitting the existence of different types of addiction. In the future, the existence of factors and their link to personality patterns should be explored.

KEYWORDS: behavioural addiction; health communication; personality addiction; Smartphone addiction scale.

RESUMEN
Diferentes trabajos han analizado la adicción al Smartphone (Young, 2009; Beard, 2005). Sin embargo, todavía no existe una base teórica sólida que permita interpretar desde la psicología social este trastorno adictivo, ni una herramienta de diagnóstico precoz breve derivada de este fundamento (Cuesta, Cuesta y Martínez, 2019). Se hace indispensable la creación de herramientas que permitan estudiar los mecanismos psicosociales que subyacen al uso problemático del Smartphone, y que aporte conocimientos que permitan analizar sus fundamentos psicosociales y posibles perfiles de uso.
Objetivo. La creación de un cuestionario breve de adicción/uso problemático al Smartphone que permita investigar los diferentes perfiles psicosociales de uso.
Método. Un meta análisis de la bibliografía permitió detectar los factores psicosociales validados empíricamente sobre los cuales existe mayor consenso. Posteriormente se realizaron tres grupos de discusión y cinco entrevistas en profundidad entre expertos y profesionales. Con estos datos se elaboró un cuestionario abreviado que fue cumplimentado por una muestra de jóvenes universitarios en dos ocasiones (test-retest).
Resultados. El cuestionario obtuvo adecuados valores de Cronbach y test-retest en todos los ítems. El análisis factorial realizado permitió encontrar una estructura factorial de 4 factores de uso que fueron denominados: envolventes, socializados, virtualizados y estresados. Estas denominaciones, que remiten a los factores psicosociales presentes con mayor peso en cada factor, parecen indicar la existencia de diferentes patrones de uso problemático del móvil lo cual supone replantearse la adicción al Smartphone no como un único concepto y admitir la existencia de diferentes tipos de adicción. En un futuro se deberá explorar la existencia de factores y su vinculación a patrones de personalidad.

PALABRAS CLAVE: adicción comportamental, comunicación salud, escala adicción Smartphone; patrones consumo.

Correspondence:
Ubaldo Cuesta Cambra. Complutense University of Madrid. Spain
ucuestac@ucm.es
Victoria Cuesta Díaz. Quirón Hospital Madrid. Spain
victoria.cuesta.diaz@gmail.com
Luz Martínez Martínez. Complutense University of Madrid. Spain
luzmar03@ucm.es
José Ignacio Niño González. Complutense University of Madrid. Spain.
jnino@ucm.es

Received: 10/12/2019.
Accepted: 12/01/2020.
Published: 15/01/2020.

How to cite this article / Standard reference: Cuesta Cambra, U., Cuesta Díaz, V., Martínez Martínez, L. & Niño González, J. I. (2020). Smartphone: in communication more than addiction. Revista Latina de Comunicación Social, 75, 367-381. https://www.doi.org/10.4185/RLCS-2020-1431

CONTENTS
1. Introduction. 2. Objective. 3. Methods. 4. Results. 5. Discussion and limitations. 6. References.

Translation by Carlos Javier Rivas Quintero (University of the Andes, Mérida, Venezuela).

1. Introduction

Smartphones have become an essential object of day to day life, thanks to its capacity to connect to The Internet in an easy and progressively cheaper way, to make photos and videos, as well as the possibility to access numerous platforms and applications either for communication, seeking or sharing information. All of this makes them tools for connectivity among subjects or for mere entertainment, essential in the lives of individuals and among young people (Herrera-Batista, 2009). According to the report of Media General Studies (EGM Acronym for Spanish Estudios General de Medios) at the beginning of 2019, a third (31.2%) of daily Internet consumers in Spain were teenagers or young people from 14 to 34 years old (EGM, 2019) whose main device for access was the smartphone (95.6%) using it, above all, for instant messaging (95.8%), social media (61.3%), using applications (53.4%) and keeping informed of current affairs (44.5%). As for social media usage, this age group represents 39% of the population. On average, Spanish people spend 2.27 hours a day connected with their phones, while 49% of young people from 18 to 24 spend more than 4 hours (Ditrendia, 2019). However, the recommendation for a non-harmful use is of a maximum of 2 hours per day (OECD, 2015). In addition, its use starts sooner and sooner, as shown in the survey about Equipment and Information and Communication Technologies usage at Homes, from the Statistics National Institute [INE Acronym for Spanish Instituto Nacional de Estadística] (2019): 66% of the population f is indispensable rom 10 to15 has a smartphone and 90% as of the age of 13.
When the use of the Smartphone starts to impact negatively on how daily life unfolds in social, working or family aspects, it can be defined as a “problematic use of the mobile” (Acier & Kem, 2011; Billieux, Maurage, López-Fernández, Kuss & Griffiths, 2015) whose consequences can be: time lost, alterations of behavior, circadian rhythm, lack of self-control, isolation, low performance, etc. (Park & Rang, 2014; Vilca & Vallejos, 2015). Young people keep using the Smartphone despite the social or interpersonal problems it causes (Odriozola, Labrador & Becoña, 2009) since its recurring and constant use can lead people not to carry out their obligations at work, school or home. In this context the role of parents, specialists and educators is taken into account for teaching and controlling the useful and non-problematic use of the mobile (Godoy, 2017).
Based on that, the study of the excessive or problematic use of the mobile and its influence on behavior generates a great interest, due to the addictive nature and implications on public health.
Different studies have analyzed the addiction without substances and the abusive use of conducts related to new technologies, like games, the Internet or videogames (Young, 20009; Beard, 2005; Fisher, 1994). These studies have focused on measuring the use, its level and intensity for different services. Very few studies have analyzed, up until now, the reasons, from the psychosocial point of view, of the excessive use of the device per se. The DSM-5 (López, Honrubia & Freixa, 2012; Cuesta, Cuesta & Martínez, 2019) classifies addiction based on variables like tolerance, abstinence, the desire or intention of avoiding that behavior, the time spent, the reduction of other activities and the inability to stop doing a harmful activity (American Psychiatric Association, et al, 2014), but without considering possible psychosocial causes for it.
Other studies on the use of the smartphone show that it generates different sensations related with independence, status, security, control and leisure on people (García-Ruiz, Ruiz & Gómez, 2018), but there are also certain negative behaviors related to the Internet and social networks that affect health and well-being of users, such as phubbing, which causes indifference to the surroundings or to people around the user, paying his/her full attention to the mobile device (Urbina, 2014) creating problems in their interpersonal and job relationships (Treviño, 2013), nomophobia or fear of not being with the phone, circadian rhythm disorders, which makes one out of four young people to check their notifications on social networks in the middle of the night (Ditrendia, 2018) or the FoMO syndrome, (fear of missing out), losing contact and missing activities organized by others (Kuss & Griffiths, 2011). In their research on problematic mobile use, with young people from 12 to 19 years old, Santana, Gómez & Feliciano (2019) proved a correlation between a greater frequent use and a greater level of FoMO, additionally to lower communication with parents.
The creation of tools that allow studying these psychosocial mechanisms that underlie the use of the smartphone is indispensable, especially when an excessive or abusive use is made, and that provides knowledge to understand its psychological foundations. Additionally, considering that the main objective of a tool with these characteristics consists on carrying out screenings in real milieus (schools, fundamentally), it is necessary for the questionnaire to be “very brief” in order to allow a fast, effective and simple application.

2. Objectives

This research has the following objectives: 1) to know the motivations and contexts of the use of the smartphone by young people, 2) to create a brief smartphone addiction questionnaire for its early diagnosis or screening, 3) to analyze its reliability and internal validity, 4) to investigate the existence of different psychosocial patterns of use. To do so we ask the following research questions:
RQ1: What are the behavioral motivations of young people towards the use of the smartphone and the problems derived from it?
RQ2: Which will be the most adequate items to customize a brief questionnaire that includes psychological, social and behavioral aspects that could underlie smartphone addictive behavior, as well as their reliability indexes?
RQ3: Will the internal validity analysis of the questionnaire allow finding behavior patterns or clusters that reflect different styles of the use of the smartphone?

3. Methods

To identify the questionnaire items from a psychosocial perspective, we conducted a revision of the existing bibliographic references over the scales that are validated and that measure the use of the smartphone on specialized searchers like PubMed, Scopus and the repository of digital magazines of Universidad Complutense de Madrid with the inputs “mobile phone” “cell-phone”, “communication”, “behavior”, “addictive”, “personality”, “Smartphone”, “scale” and “questionnaire”. A final sample of 27 studies was obtained and they were codified according to the addiction evaluation scale used, evaluation factors, purpose of the questionnaire, results and significance level of the scale. An analysis of the items used for these scales allowed checking the main “components” used in the academic literature to define this behavior and used more frequently in the evaluation scales.
To study the young people and their parents’ psychology, and to have data available to deepen in the behavior motives, with the objective of creating a scale, three focus groups of 10 members each were carried out: FG1 with high school teenagers (14-16 years old), FG2 with young college students (18-20 years old) and FG3 with parents of teenagers who use smartphones.
With the same objective, five in-depth interviews with experts were carried out: (I1) drug addiction, social behaviors and new addictions without substances, (I2) The Internet and virtual communities, (I3) creation and dissemination of social network platforms used mainly by teenagers, (I4) young user expert on videogames and (I5) responsible of social communication.
While the focus groups and the in-depth interviews were being carried out, a member of the research group was in charge of making it possible for the necessary requirements of the speech fluidity around the established objectives of the research to be met. The sessions were recorded and written down afterwards to perform an analysis of the data to enable: 1) the extraction of literals or verbatims that comprised the basic units of study and 2) to know the experts’ opinion regarding the potential addictiveness of smartphones, the current use situation among young people, symptomatology, etc.
Based on the bibliographic analysis and the results from the focus groups and the in-depth interviews, a 9 items in a 7-point Likert scale questionnaire was created, being 1=No (never) and 7=always.
Subsequently, the questionnaire was completed by a sample of 66 young undergraduate subjects, with the aim of evaluating its reliability and its internal validity.
The reliability was tested through Cronbach’s Alpha and permitted us to calculate the reliability coefficient regarding its internal consistency. Its reliability was also tested through test-retest: the questionnaire was completed by the same subjects a week later, which allowed us to calculate the indexes of correlation of the 9 items that comprise the scale, therefore obtaining the reliability values regarding the scale stability.
Finally, through a factor analysis test, we analyzed the construct validity named factor or structural validity. The analysis of this structural validity permitted us to analyze the different types of use of the smartphone when interpreting the clusters based on the questionnaire items that saturated each factor.

4. Results

RQ1: What are the behavioral motivations of young people towards the use of the smartphone and the problems derived from it?
To know the behavioral aspects of young people towards the use of the smartphone, the data obtained from teenagers, young adults, parents and specialists in the field, through the conducted focus groups and in-depth interviews, was analyzed.
The answers and comments were grouped into six big categories: reasons as to why they connect, connectivity habits, age, role of the parents, role of educators, addiction or dependence and future. These six categories were then divided into 14 subcategories (Table 1).

Table 1. Categorization of the information for the individual and group interviews.
tabla1
Source: own elaboration.

Related to the reasons as to why young people connect, the subjects coincide that the hook of the smartphone is its utility to facilitate communication and socialization since “you can keep in permanent contact” (FG3), with tools like “WhatsApp” (FG2), and “to be informed of what is happening in the world” (I1). Both young people and professionals are conscious that its easy accessibility and availability facilitate its use and make the smartphone a tool present for most of young people, who tend to have several devices, “I have one (computer) in my bedroom, another one in the living room, and also tablets and play (…), so we don’t get bored” (FG1) and with better and better services “more and more we are being offered better tablets, more multipurpose phones, cheaper gadgets and all of this makes people want to have the latest mobile” (I2). Even though its utility is recognized, the interviewees give more importance to its possible disadvantages or undesirable consequences, where the privacy sphere bursts open to public eye turning out to be excessive, “it is like the Truman show, everyone knows everything” (I2) and creating a social conditioning of sharing it all, “you just get (a photo) and you do not have the option for not accepting it” (I1).
On connectivity habits, all the subjects stated being constantly connected, “I use it every day, well, from Monday to Friday a little less because I study, and then I even fall asleep with the phone on my hand” (FG1), “I use the phone every day, mainly for WhatsApp and making phone calls” (I4); unaware of this involving any kind of problem “my parents tell me not to spend so much time on the phone, (…) I don’t know,” (I5). However, young people use their mobiles before, during and after doing homework, before going to bed, when they wake up, at the table, in the shower, if they go out with friends and even in class, although it is forbidden “every day at every hour, in every class… it is just how it is” (I5), “in class there are some who are addicted to Instagram, they are connected all day” (FG1). Even though young people and teenagers state the use of the mobile as a communication and socialization tool, the increase in the amount of time they spend connected is not a synonym of greater quality of that socializing process, “you can have 700 friends on Facebook but in reality you chat with ten and the rest are blocked so you don’t see their photos” (I2), “maybe you have people there who are not your friends” (FG2).
All the interviewees coincide in pointing out that the age for young people to start using smartphones is every time younger, “you start earlier, (…) before it was at 17 years old and now at 13” (F2.FG3), “my four-year-old son handles the iPhone incredibly well” (F3Fg3); spurred by the parents as a way to locate their children, “we have to leave the phone with them just in case something happens and know where they are” (F2.FG3), “if they have a schedule for using public transit and you notice they are late, well you pick it up and call so you feel calm” (F4.FG3). Even if there is a minimum age requirement for you to open an account on a social network, teenagers admit lying so they get registered, “a lot of people lie regarding age when registering on a social network just to be able to do it; skipping, for example, Tuenti above-14-years-old restriction” (IF1).
As for the role of the parents, there is a predominant discursive position in all the groups stating that the knowledge that parents have regarding how to operate new technologies, in general, and state-of-the-art phones, in particular, is way less compared to their children’s, “parents have less technological control than children. Children are more advanced” (I2). “Unfortunately, I do not know how to keep track of that, because I don’t know. I know how to use WhatsApp and nothing more” (M3.FG3). Additionally, and maybe as something deriving or as consequence of it, it is also identified that the level of utility that parents get from these tools is also lower than what young people get, “we complain, but it is what it is. There are things I can’t control and he/she tells me: mom, you’re behind the times” (M1.FG3). In the case of parental control, parents take some measures to control the time spent and know the type of information their children consume, who are their virtual friends and to establish schedules, “they have set a schedule for us, on weekdays, 15 minutes after homework” (FG3); or checking the browsing history and visited websites, “it is almost mandatory that, as a parent, you have to see which sites they have been to (on favorites, on which webpages)” (I1). However, both, experts and young people, suggest as more convenient a pro-technological stand from the parents to foster trust in their children, “sharing an e-mail account between parent and child protects them from an inappropriate use” (I3), “but come on, it is not a big deal for me. I have Facebook and I even added my mother and I don’t care” (FG2). The subjects gave great importance to family upbringing in young people to acquire maturity and control for a responsible use, “(…) the importance of this group (the parents) when it comes to educating, orienting and limiting their children on smartphone use” (I2), “you have to teach them how to be responsible. Parents have to keep an eye on them, watching” (FG3), “tell them there is a limit for them to set that limit themselves, here starts your liberty and you have to know where it ends” (FG2); however, certain factors that can hinder this educational program were identified, like the problem of balancing work and family (“in this country the work and family conciliation won’t happen. I would like to get up at 5 or 6 am to have my afternoons free so I could spend time with my children” (FG3)), or the “bad” influences of certain family contexts that predispose teenagers to make inappropriate use of it (“my case is worse, my daughter is on WhatsApp all the time and on Tuenti and Instagram since she gets up, but her father does the same. He chides her, but he is even worse” (FG3)).
Regarding the role of educators, the subjects coincide with the necessity of changing the traditional educational model including teaching and reflection about the appropriate use of mobiles among young people and setting differentiation criteria between useful and safe information and the one that is not worthy, “there must be tutelage, supervision, probably training (…) I don’t even know (…) because on cybernetic aspects there are evidently more risks than mere abuse. From that perspective I believe that a specific training is necessary” (I3).
It is important to know how much young people control the use of their mobile and if they show sufficient maturity when it comes to use it, the majority of young people stated to be mature and in control of its use, similar to specialists’ perception, “the vast majority make responsible and healthy use of these tools” (I1); even though some generalized symptoms were identified, such as lack of sleep, forgetfulness, nervousness in the face of the idea of not being able to use it or the necessity of using it as a distraction, “the fact that someone has the thought of uploading a photo to Tuenti or Facebook at 3 am… to start tagging, it is hard” (I3); “as soon as a child’s mobile breaks a big drama starts. They can’t live without it” (FG3).
RQ2 Which will be the most adequate items to customize a brief questionnaire that includes psychological, social and behavioral aspects that could underlie smartphone addictive behavior, as well as their reliability indexes?
The focus groups, along with the in-depth questions provided some insights that permitted understanding the psychodynamic of the smartphone addiction.
Using these results, and taking into account the previous analyzed studies from the bibliographic revision, the 9-items brief smartphone addiction questionnaire was designed, as shown below:

Table 2. Smartphone addiction questionnaire proposal.
tabla2
Source: own elaboration.

The descriptive analysis of the obtained items on its first implementation showed the higher values for the items “I feel the necessity of checking it frequently” (mean value=4.74), “I would feel lots of anguish if it were taken away from me” (mean=4.58) and “I like to answer immediately” (4.30). On the contrary, the lower values were for the items “Sometimes I use it a little bit behind my parents’ back” (2.08), “It has bothered me being criticized for using it a lot” (2.47) and “The possibility of people saying bad things about me on social networks disturbs me” (2.52).
The reliability of the questionnaire was explored through Cronbach reliability test and the test-retest.
The Cronbach results are high (0.61; p <.000), especially for a brief scale, since the Cronbach’s Alpha value usually increases with the size of the sample. This result indicates that the different items of the questionnaire manifested steady values and that they measure in a reliable manner what they intent to measure without creating random significant differences by the mere passage of time (Table 3).

Table 3. ANOVA with Cronbach Test.
tabla3
Source: own elaboration.

To evaluate the test-retest an analysis of the Pearson correlations was performed between the results of the questionnaire and the repetition of itself for each of the nine items. All the items showed significant correlations (p<.000).
The results of the correlations for each one of the items are shown below:

ITEM 1: .72
ITEM 2: .49
ITEM 3: .70
ITEM 4: .73
ITEM 5: .44
ITEM 6: .71
ITEM 7: .81
ITEM 8: .50
ITEM 9: .71

Finally, with the goal of analyzing the internal structure of the questionnaire and the possible psychological profiles of the users, a factor analysis was performed (Table 2) to help propose a psychological model of smartphone addiction.

Table 4. Factor analysis components matrix.
tabla4
Source: own elaboration.

The analysis shows four factors that explain a total 61.15% of the variance:

These results seem to indicate, as we had hypothesized, that there are different “patterns” of mobile use, based on the psychosocial motivations that underlie its use and the perceived consequences: users of “immersive use”, maybe the least prone to developing addictive or problematic behavior, “socializer” users, with a high social motivation and desire to interact with their peers, the “virtualized”, highly involved on social networks, but without showing anxiety and, finally, the “stressed”, maybe the most prone subjects to developing more pathological behaviors with the use of smartphones.
Therefore, more important than the high percentages of use as a global concept, it is perhaps necessary to start specifying what type of use the owner of the mobile makes, since there are, at least, four patterns of use clearly differentiated.

5. Discussion and limitations

The perception of the smartphone is of an attractive tool that facilitates socialization and communication, even though there are some recognized disadvantages like lack of privacy, change in the types of social relations, isolation and deterioration of social relationships (Urbina, 2014; Treviño, 2013). Young people are conscious that its accessibility and availability has facilitated their using smartphones daily, using them even in places where its use is forbidden and recognize their nervousness in the face of the idea of not being able to use it, an attitude also recognized by parents, however, they do not perceive this as a problem, making it seem normal. That is why both parents and educators roles are important, so young people make healthy use of the mobile, even though there are some challenges when showing the gap regarding knowledge and strategies of use between these and young people, just as it has been shown in our focus groups and in-depth interviews.
All of this is, on another note, coherent with recent data published thereon in similar studies (Observatorio Nacional de Telecomunicaciones y de la Sociedad de la Información [EN: Telecommunications and Information Society National Observatory], 2019; INE, 2019). This suggests the necessity of designing new communication strategies to educate, not only young people, but parents and educators as well about useful and responsible use of these devices.
The questionnaire about the use of the smartphone created in this research, obtained adequate reliability indexes for both internal consistency (Cronbach’s Alpha index) and stability (Pearson correlations). Its construct, structural or factor validity (performed with factor analysis) seems adequate and provides psychosocial typologies of great interest, for both the fast type screening adequate diagnosis and the subsequent design of intervention programs. Previous studies mention high global percentages of mobile use (Herrera-Batista, 2009; INE, 2019) however, our data shows a variable figure of use depending on different “patterns”, being necessary to specify the type of use the person makes of it, therefore there could be different types of consumers, surely with different addiction or intensive use patterns. Some of them, even if they made a very intensive use of it, it could not be stated, in a strict sense, as an addiction but problematic consumption patterns of the mobile, since they do not seem to generate anxiety nor link to other characteristic variables of addictions.
That way we could talk about young people who use it constantly, but with certain level of control over its use; the ones who use it to socialize, the ones who could not separate from it on a functional level and the ones concerned by what others say about them and their actions on the Internet and on social networks.
Future research with larger samples could help deepen in possible differences between these factors, especially if they are used in a complementary manner in measures of personality factors such as extroversion, emotional stability and social values measures, such as the pursuing of leadership or socializing. This would allow understanding better the psychological foundations of smartphone addiction permitting, not only defining the possible patterns of use, but also correlating them to particular psychological profiles, which would strengthen the questionnaire as an early detection tool of problematic use and would open new spaces to different types of treatments. In so doing, when being able to detect certain profiles associated to possible problematic use patterns, useful and effective strategies could be designed for education and prevention. In this sense, it is also necessary to research the differences in gender and their interactions with the factors found.
It will also be necessary to research the correlation between the high indexes of smartphone use and the concurrent external validity variables, such as school performance. It is very likely that the different patterns, some better than others, discriminate the impact on behaviors like school performance, anxiety, isolation, etc.

References

  1. Acier D, Kern L. (2011). Problematic Internet use: perceptions of addiction counsellors. Computers & Education, 56(4), 983-989. https://doi.org/10.1016/j.compedu.2010.11.016
  2. American Psychiatric Association, Kupfer DJ, Regier DA, Arango C, Ayuso-Mateos JL, Vieta E, Bagney A. (2014). DSM-5: Manual diagnóstico y estadístico de los trastornos mentales. Editorial Médica Panamericana.
  3. Beard KW. (2005). Internet Addiction: A Review of Current Assessment Techniques and Potential Assessment Questions. CyberPsychology & Behavior, 8(1), 7-14. http://doi.org/10.1089/cpb.2005.8.7
  4. Billieux J, Maurage P, López-Fernandez O, Kuss DJ, Griffiths MD. (2015). Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Current Addiction Reports, 2(2), 156-162. https://doi.org/10.1007/s40429-015-0054-y
  5. Cuesta U, Cuesta V, Martínez L. (2019). Adicción al Smartphone. Análisis descriptivo de herramientas de medición del uso del teléfono inteligente. En Morales Calvo S, Vidal Auladell F, Mut Camacho M (Coords.), Nuevo paradigma comunicativo: Lo 2.0, 3.0 y 4.0 (pp. 157-170). GEDISA.
  6. Ditrendia, 2018. En Mobile en España y en el Mundo 2018. https://cutt.ly/BrGKezY
  7. Estudio General de Medios (2019). Audiencia de Internet (abril 2018-marzo 2019), AIMC. https://www.aimc.es/a1mc-c0nt3nt/uploads/2019/04/internet119.pdf
  8. Fisher S. (1994). Identifying video game addiction in children and adolescents. Addictive behaviors 19(5), 545-553. https://doi.org/10.1016/0306-4603(94)90010-8
  9. García R, García R, Hernando A. (2018). Redes sociales y estudiantes: motivos de uso y gratificaciones. Evidencias para el aprendizaje. Aula abierta, 47(3), 291-298. https://doi.org/10.17811/rifie.47.3.2018.291-298
  10. Godoy LF. (2017). Fotografías en el aula: ¿Nuevas prácticas de lectura y escritura mediadas por TIC? Centre d´Estudis Vall de Segó; Quaderns Digitals, 85, 108-125.
  11. Herrera M. (2009). Disponibilidad, uso y apropiación de las tecnologías por estudiantes universitarios en México: perspectivas para una incorporación innovadora. Revista Iberoamericana de Educación, 48(6), 1-9. https://doi.org/10.35362/rie4862130
  12. Instituto Nacional de Estadística (2019). Encuesta sobre Equipamiento y Uso de Tecnologías de Información y Comunicación en los Hogares. Año 2018. https://www.ine.es/prensa/tich_2019.pdf
  13. Kuss DJ. Griffiths MD. (2011). Online social networking and addiction - a review of the psychological literature. International Journal of Environmental Research and Public Health, 8(9), 3528-3552. https://doi.org/10.3390/ijerph8093528
  14. López O, Honrubia ML, Freixa M. (2012). Adaptación española del “Mobile Phone Problem Use Scale” para población adolescente. Adicciones, 24(2), 123-130. https://doi.org/10.20882/adicciones.104
  15. Martínez E, Martínez J, Martínez MA. (2019). Análisis del uso de dispositivos móviles en las aulas universitarias españolas”. Revista Latina de Comunicación Social, 74, 997-1013. https://doi.org/10.4185/RLCS-2019-1368
  16. Observatorio Nacional de Telecomunicaciones y de la Sociedad de la Información (2019). La Sociedad en Red. Transformación digital en España. Informe Anual 2018. https://www.ontsi.red.es/ontsi/sites/ontsi/files/2019-10/InformeAnualLaSociedadEnRedEdic2019.pdf
  17. OECD (2015). Students, Computers and Learning. Making the Connection. OECD Publishing.
  18. Odriozola E, Labrador FJ, Becoña E. (2009). Adicción a las nuevas tecnologías en adolescentes y jóvenes. Pirámide.
  19. Park C, Rang Y. (2014). The conceptual model on smart phone addiction among early childhood. International Journal of Social Science and Humanity, 4(2), 147-150. https://doi.org/10.7763/IJSSH.2014.V4.336
  20. Santana LE, Gómez AM, Feliciano L. (2019). Uso problemático del móvil, fobia a sentirse excluido y comunicación familiar de los adolescentes. Comunicar: Revista científica iberoamericana de comunicación y educación, 59, 39-47. https://doi.org/10.3916/C59-2019-04
  21. Treviño J. (2013). El ‘phubbing’, otra amenaza para las relaciones interpersonales y laborales. Abogados.
  22. Urbina K. (2014). Impacto del phubbing en las relaciones. Tuxpan.
  23. Vilca L, Vallejos M. (2015). Construction of the risk of addiction to social networks scale. Computers in Human Behaviour, 48, 190-198. https://doi.org/10.1016/j.chb.2015.01.049
  24. Young K. (2009). Internet Addiction: Diagnosis and Treatment Considerations. Journal of Contemporary Psychotherapy, 39(4), 241-249. https://doi.org/10.1007/s10879-009-9120-x

AUTHORS

Ubaldo Cuesta Cambra: Department of Audiovisual Communication and Advertising II. Complutense University of Madrid. Spain. Professor of Audiovisual Communication and Advertising of the UCM. Director of the Department of Audiovisual Communication and Advertising II and of the Chair of Communication and Health of the UCM. Dr. in Psychology. Director of the Master’s Degree in Advertising UCM-JWT agency and the Neurolabcenter. Director of the Department of Theories and Communication Analysis. Director of the Communication and Health magazine and of the magazine Pensar la Publicidad (PLP) Director of the consolidated research group UCM “Creation and psychosocial and cultural effects of communication”. Principal investigator of several MINECO projects in the past. Currently I.P. of the MINECO project on “Antivacunas en la Red”. Director of the Chair of Communication and Health UCM-Abbvie. Former Citroën Advertising Director. Director of the Laboratory of Neurocommunication of the UCM (Neurolabcenter.com). Director of the Master’s Degree in Advertising “Advertising Management” UCM-Wunderman-Thompson. Director of the Master’s Degree in Communication and Health UCM-Madrid City Council-Madrid Salud. Former director of the Master’s Degree in Television Management UCM-Telemadrid. Former Director of the Creativity and Strategic Planning Expert UCM-Gray-Expiga. Member of the Spanish Council of Drug Addictions and other Addictions. Author of three books specialized in Communication Psychology and seven books as coordinator. Author of more than 30 articles in impact research journals in Spanish and English (including several Scopus and JCR), in the field of Psychology and Communication. His lines of research focus on the study of different aspects of Communication and Health such as addictions, prevention and health promotion. Analysis and creation of strategies in Advertising and Health. Development innovation in neuroscience, its application in neuromarketing and advertising and the study of the neuro-psychological foundations of Communication.
ucuestac@ucm.es
H Index: 8
Orcid ID: https://orcid.org/0000-0001-7023-7132
Google Scholar: https://scholar.google.com/citations?user=ysHqNCsAAAAJ&hl=en
ResearcherID: H-5730-2015

Victoria Cuesta Díaz: Quirón Hospital Madrid. Spain.
Doctor in nursing from the Complutense University of Madrid. Professor of the own Master of Communication and Health of the Complutense University. Honorary collaborator of the Department of Communication Theory and Analysis of the Complutense University. Member of the consolidated research group of the Complutense University “Creation and psychosocial effects of audiovisual discourse”. Author of different articles and book chapters on communication and health. Nurse at the ICU of Neonates of the Quirón Hospital in Madrid.
victoria.cuesta.diaz@gmail.com
Orcid ID: https://orcid.org/0000-0003-1318-1173

Luz Martínez Martínez: Department of Theories and Communication Analysis. Complutense University of Madrid. Spain. Doctor in Audiovisual Communication from the Complutense University of Madrid. Specialized in learning through the media and in communication and health. Associate Professor of the Rey Juan Carlos University and Researcher of the Department of Communication and Health of the Department of Communication, Audiovisual and Advertising II of the Faculty of Information Sciences (UCM). Associate Professor in the Audiovisual Communication Degree of the Rey Juan Carlos University of Madrid. He has published works in scientific journals and participated in numerous international conferences. She is currently integrated as a researcher in the Neuromarketing laboratory “NeurolabCenter” belonging to the Department of Communication, Audiovisual and Advertising II of the Faculty of Information Sciences (UCM). His lines of research focus on: in the analysis of the creation and psychosocial and cultural effects of audiovisual discourse on different media, its application in edu-entertainment and the study of its effectiveness through innovative methodologies, neuromarketing.
luzmar03@ucm.es
Índice H: 4
Orcid ID: http://orcid.org/0000-0001-8582-724X
Google Scholar: https://scholar.google.es/citations?user=AKGwpH8AAAAJ&hl=es

José Ignacio Niño González: Department of Theories and Communication Analysis. Complutense University of Madrid. Spain. Doctor in Advertising and Public Relations from the Complutense University of Madrid, and Master in Business Administration from the Instituto de Empresa de Madrid. He is currently Secretary of the Academic Committee of the Doctoral Program in Communication, Audiovisual, Advertising and Public Relations that is taught at the Faculty of Information Sciences (UCM) and is Deputy Director of the Neuromarketing laboratory “NeurolabCenter” belonging to the Department of Theories and Communication Analysis of the Faculty of Information Sciences (UCM). Member of the UCM Consolidated Research Group “Creation and psychosocial and cultural effects of communication”. Author of multiple articles in impact research journals in Spanish and English, book and book chapters in the field of neuromarketing, communication and health. In his professional career he highlights his stage in advertising agencies such as Tandem DDB and Saatchi & Saatchi or projects as a founding partner in the area of communication and new technologies such as Interacting or More Than Game.
jnino@ucm.es
Índice H: 12
Orcid ID: http://orcid.org/0000-0001-6940-2399
Google Scholar: https://scholar.google.es/citations?user=yswmCT4AAAAJ&hl=es