SciELO - Scientific Electronic Library Online

 
vol.35 número1Lenguas y psicoterapia: el efecto de la lengua extranjera en la extinción del miedoNuevas tendencias en evaluación psicológica y educativa apoyada en tecnologías digitales índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • En proceso de indezaciónCitado por Google
  • No hay articulos similaresSimilares en SciELO
  • En proceso de indezaciónSimilares en Google

Compartir


Psicothema

versión On-line ISSN 1886-144Xversión impresa ISSN 0214-9915

Psicothema vol.35 no.1 Oviedo feb. 2023  Epub 12-Feb-2024

https://dx.doi.org/10.7334/psicothema2022.251 

Articles

Protocol for a trial assessing the efficacy of a Universal School-Based Prevention Program for addictive behaviors

Protocolo de un ensayo para evaluar la eficacia de un Programa Escolar de Prevención Universal de conductas adictivas

Alba González-Roz1  , Víctor Martínez-Loredo2  , Wadih Maalouf3  , José Ramón Fernández-Hermida1  , Susana Al-Halabí1 

1University of Oviedo

2University of Zaragoza

3United Nations Office on Drugs and Crime, Vienna, Austria

Abstract

Background:

“Juego de Llaves” [Set of Keys] is a universal school-based prevention program for adolescents aged 12-15. It is aimed at reducing drug use and other addictive behaviors. This paper describes the full protocol for the evaluation design, instruments, randomization procedure, follow-ups, and primary outcomes.

Method:

Non-Randomized Control Cluster Trial in a set of Spanish secondary schools, with follow-ups at 12-, 24- and 36-months. Participants will be allocated to an experimental or control group. Using a digital application designed for the study, a battery of instruments will be used to assess addictive behaviors, sociodemographic variables, school climate and other transdiagnostic psychological variables.

Results:

A pilot test will be carried out to test the implementation protocol and to calculate the sample size needed for outcome evaluation. After implementing the program, longitudinal statistical approaches will be used to report intervention efficacy and potential moderators and mediators.

Conclusions:

There is a lack of assessments on the effectiveness of school prevention programs, and this paper is expected to improve monitoring and ongoing evaluation in prevention.

Keyworsd: adolescents; addictive behaviors; evaluation; universal school-based prevention; transdiagnostic approach

Resumen

Introducción:

“Juego de Llaves” es un programa de prevención escolar universal para adolescentes entre 12 y 15 años. Tiene como objetivo reducir el uso de drogas y la implicación en otras conductas adictivas. Se describe un protocolo completo del diseño de evaluación, los instrumentos, el procedimiento de aleatorización, los seguimientos y las variables de resultado.

Método:

ensayo por conglomerados no aleatorizado en centros escolares españoles de educación secundaria obligatoria con seguimientos a los 12, 24, y 36 meses. Los participantes serán asignados a un grupo experimental o control. A través de una app específicamente diseñada para este estudio, se utilizará una batería de instrumentos de evaluación para conductas adictivas, variables sociodemográficas, clima escolar y otras variables psicológicas transdiagnósticas.

Resultados:

Se realizará una aplicación piloto para probar el protocolo diseñado y calcular el tamaño muestral necesario para la evaluación de resultados. Posteriormente, se aplicará el programa y se realizarán análisis de datos de tipo longitudinal para informar de la eficacia de la intervención y de los posibles moderadores y mediadores.

Conclusiones:

Existen pocas evaluaciones de la efectividad de los programas de prevención escolar y se espera que este artículo contribuya, como modelo, a fomentar la cultura de la evaluación.

Palabras clave: adolescentes; conductas adictivas; evaluación; prevención escolar universal; aproximación transdiagnóstica

Adolescence is a developmental period in which people are most vulnerable to multiple overlapping health risk behaviors, including unprotected sex, driving-recklessly, drug use and interpersonal violence (Fernández-Hermida & Villamarín-Fernández, 2021; Weidberg et al., 2022). Substance use and other addictive behaviors, particularly excessive alcohol use, are one of the main causes of loss in quality of life and morbi-mortality in childhood and adolescence (Frobel et al., 2022; Wilson & Fergusson, 2022). Between 38.2% and 73.9% of 14-18-year-old Spanish students have used alcohol and tobacco in their lifetimes, while rates of regular (at least monthly) use are 53.6% for alcohol and 23.9% for tobacco (Observatorio Español de las Drogas y las Adicciones [OEDA], 2021a). Cannabis is the most widely-used illicit drug and concerns have been raised about its increasing use in the young population. Gambling (land-based and online) has shown an upward trend in recent years, and it is estimated that 25.5% of 14-18-year-old Spanish students have gambled either online or land-based. Gaming is also a widespread behavior and over 20% of 14-18 year-olds engage in problematic online gaming (OEDA, 2021b).

Numerous individual, family, and societal factors place adolescents at particular risk of using drugs and experiencing negative consequences (Fernández-Calderón et al., 2022; Gray & Squeglia, 2018). Sensation-seeking (Aguilar et al., 2022; Fernández-Artamendi et al., 2016), impulsivity (Eslava et al., 2022; Martínez-Loredo et al., 2015), social conformity (Santor et al., 2000), emotional dysregulation (Momeñe et al., 2021), and parenting styles (Al-Halabí et al., 2006; Martínez-Loredo et al., 2016) are amongst the most important factors in predicting early substance use. Other research suggests psychological disorders or related problems (Bousoño et al., 2021; Fernández-Artamendi et al., 2021) and poor school adjustment increase the risks of substance use problems (Bradshaw et al., 2014; Carbonneau et al., 2022).

In recent decades, increasing efforts have been made to prevent substance use in the adolescent population, with a plethora of interventions being developed (Foxcroft & Tsertsvadze, 2011; Maalouf et al., 2019; MacArthur et al., 2018). Universal prevention in the school setting is considered one of the most suitable, cost-effective interventions for reducing first use and preventing the transition from experimental to problematic patterns of substance use (Faggiano et al., 2014). Rooted in the developmental framework, these interventions share their focus on strengthening individuals' resources that help young people to be able to accomplish their goals through life-skills training, emotional education, and self-control (problem solving) (Burkhart et al., 2022). Furthermore, prevention curricula usually cover other specific substance-use variables, such as normative beliefs, perceptions of harm, and decision-making (refusal) skills (Komro, 2020). Unfortunately, there are limited assessments on long-term effectiveness of prevention programs in Spain and the core mechanisms of change (mediators and moderators) are rarely explored (Espada et al., 2015).

Research in the field of addiction has recently shown interest in understanding it from a transdiagnostic perspective, exploring variables that can account for the onset, progression and maintenance of different substance and non-substance use behaviors and other co-occurring conditions (Dalgleish et al., 2020; Kim et al., 2020). This relatively new approach has produced a significant body of research that supports, amongst other things, the importance of emotion regulation and negative urgency in predicting addictive behaviors (Weiss et al., 2022; Wolitzky-Taylor et al., 2016). Accordingly, there has been some action to promote transdiagnostic interventions in the addiction field, but there are only a handful of studies, primarily in adults (Martínez-Loredo & Fernández-Hermida, 2019).

The “Juego de Llaves” [Spanish for “Set of Keys”] program (Asociación Proyecto Hombre, 2014) is a manual-based universal school prevention program that has been adapted from the ‘Between All' program (Gil Carmena, 2005). The program was strongly influenced by ‘Construyendo Salud', the Spanish adaptation of the Life Skills Training (an evidence-based intervention for substance use to be delivered in primary education and compulsory secondary education) (Botvin & Griffin, 2002; Gómez-Fraguela et al., 2002; 2003). The main goal of this program is to prevent substance use and other addictive behaviors. It is to be delivered by teachers in a six-to-twelve-session format through different modules that cover emotional regulation, cognitive strategies, social interaction, free time, education on drugs, and life values (Asociación Proyecto Hombre, 2014). “Juego de Llaves” is being implemented in over 32 schools in Spain but its efficacy has yet to be evaluated.

Given this background, the present study aims to describe the design of an independent external evaluation (outcome and process) for the “Juego de Llaves” prevention program. Specifically, it reports on the following areas: i) the randomization procedure to evaluate efficacy; ii) follow-up schedule; iii) data collection procedures, and iv) outcome variables. This will be amongst the few long-term evaluations of a school-based prevention program in a natural setting, involving schools that are already implementing the program in Spain and including a broad transdiagnostic assessment protocol that seeks to identify potential mechanisms of behavioral change. There is a pressing international need to scale up effective programs, and there have been calls for evaluations that identify which prevention programs work for whom, for how long, and in which conditions (United Nations Office on Drugs and Crime [UNODC], 2018). This study will make a substantial contribution to this endeavor and serve as a source of inspiration for those working in prevention in the addiction field.

Method

Participants

Participating schools will be selected randomly from the schools that are already implementing the “Juego de Llaves” program in Spain, which includes 32 schools in almost all of the regions (i.e., autonomous communities) in Spain. Participants will be adolescents aged 12-16 in compulsory secondary education (ESO). All students, including those with educational needs, will receive the intervention. The final sample size will depend on the specific statistical approach adopted: descriptive statistics (prevalence) and independent t-tests (mean differences). For the first approach, considering a statistical power of 80% and a 95% CI, a minimum of 1,085 participants would be needed to detect small effect sizes ((0.2). For the second approach, a minimum of 2,096 participants are needed. With a power of 80% (95% CI), this sample size would ensure the detection of small effect sizes ((0.2). Therefore, considering an expected intra-group dependency of .02, the minimum size is estimated at 2,096 participants.

Students will be included in this study provided they and their parents give their informed consent (by written statements) to participate. Only participants completing the baseline assessment will be included in the efficacy analyses. Incomplete or inadequate completion (e.g., acquiescence, random response) of baseline e-assessments will be considered exclusion criteria.

Instruments

An overview of the assessment measures is provided in Table 1. A wide range of tools are included to assess sociodemographic, family, and contextual variables. Most of the drug use assessment measures are validated in the Spanish-speaking adolescent samples, with the exception of the following: the Child and Youth Resilience Measure (CYMR; Resilience Research Centre, 2018), the Monetary Choice Questionnaire (MCQ; Kirby et al., 1999), the Adolescent Reinforcement Survey Schedule (ARSS-SUV; adapted from Murphy et al., 2005), and the Substance and Activity use Problem Index (SAUPI), which was designed by the research team specifically for this project given no other similar or more appropriate tool was available at the time the protocol was designed. Of note is that the Brief Alcohol Density Assessment (BASDA; Fortune et al., 2013) was adapted to adolescents (the Brief Drug Use Density Assessment, [BDUDA]) by the research team and with the purpose of measuring other substances than alcohol, as it was originally designed.

The instruments cover each of the program areas such that there are no areas without an instrument or instruments that do not correspond to one of the areas addressed by Juego de Llaves. Psychological and transdiagnostic variables are also considered. Five attentional control items will be included in the assessment battery at random (e.g., for this question choose “true”). To avoid bias, response options for attentional checks will follow the response options scales at next preceding.

Table 1. Overview of the assessment measures at pre, post and follow-ups. 

Area Measure Reliability
Demographics Region, age, course, sex, born in Spain (yes/no) NA
Lifestyle Hours of sleep, time to fall asleep Frequency of free-time activities (items from the Spanish epidemiological survey; OEDA, 2021a) NA
Socioeconomic level FAS-II (Boyce et al., 2006) α = .31-.47 (Pérez et al., 2021)
Academic performance Academic performance, failed subjects, truancy, repeated school year, sense of belonging at school NA
Psychological variables Resilience Behavioral problems Emotion reg valign="top"ulation Suicidal behavior Impulsivity CYMR (Resilience Research Centre, 2018) SDQ (Ortuño-Sierra et al., 2018) ERQ-CA (Navarro et al., 2018) PSS (Fonseca-Pedrero et al., 2018) BUPPS-P-NA (Caneto et al., 2020) MCQ (Kirby et al., 1999) DD (García-Rodríguez et al., 2013) Not yet examined in Spanish-speaking adolescent samples Ordinal α = .88 α = .61-.64 Ordinal α = .93 ω = .64-.83 Not yet examined in Spanish-speaking adolescent samples. (α= 0.90) (Martínez-Loredo et al., 2017)
Addictive behaviors Attitudes Substance use Gambling and gaming Con valign="top"sequences of addictive behavior Substance/non-substance reinforcement ratio Attitudes towards drug use Tobacco, cannabis, alcohol (ever, past year/month use) Past year and past month Ad-hoc questionnaire (Substance and Activity use Problem Index [SAUPI]; unpublished) ARSS-SUV (adapted from Murphy et al., 2005) NA NA NA Not yet examined in Spanish-speaking adolescent samples Not yet examined in Spanish-speaking adolescent samples
Substance-related social network Brief Drug Use Density Assessment [BDUDA; adapted from Fortune et al., 2013) Not yet examined in Spanish-speaking adolescent samples

Note. NA = Not applicable; FAS = The Family Affluence Scale; CYMR = The Child and Youth Resilience Measure; SDQ = Strengths and Difficulties Questionnaire (25-item version); ERQ-CA = The Emotional Regulation Questionnaire - adolescents; PSS = The Paykel Suicide Scale; BUPPS-P-NA= The Scale of impulsivity for children and adolescents; MCQ= The Monetary Choice Questionnaire (21-item version); DD = Delay discounting; SAUPI = Substance and Activity Use Problem Index; ARSS-SUV = The Adolescent Reinforcement Survey Schedule; BDUDA = The Brief Drug Use Social Density Assessment.

Procedure

The Juego de Llaves program

Juego de Llaves is a universal prevention program aimed at reducing addictive behaviors, including drugs of abuse and behavioral addictions (gambling and gaming). The program is targeted at students in compulsory secondary education and is intended to train individuals in effective skills for coping with high-risk situations for drug use, and develop prosocial attitudes and a healthy life-style. Curriculum materials have been developed to standardize the program and ensure the fidelity of the implementation. A manual for teachers where modules and objectives are described has been specifically developed.

Juego de Llaves addresses specific vulnerability factors for drug use, such as sexual and affective relationships and peer violence. It contains six different modules (see Table 2 for an overview) and teachers are encouraged to deliver at least one activity per module during four academic course years. The program is framed on the biopsychosocial model (Engel, 1980) which poses that a set of macro- and micro-situational factors interact with individual variables to account for addictive behaviors. As in the original program by Botvin (Botvin & Griffin, 2001), the theoretical background of Set of Keys includes key elements from social learning theory (Bandura, 1977), meaning engagement in drug use or engagement in other addictive behaviors depends on environmental (e.g., accessibility) and individual (e.g., personality) factors, but also on peers' influence, parenting styles and other social influences (e.g., social norms).

Table 2. Overview of the Juego de Llaves prevention program. 

Module Objectives
Emotional management - Recognize and manage individuals' own emotions - Improving emotional management in high-risk situations for drug use or engaging in other addictive behaviors
Cognitive strategies - Training in cognitive strategies associated with decision making, critical thinking and attributional styles
Social interaction - Recognize the relevance of social relationships - Training in effective social communication interaction skills
Leisure and free time activities - Psychoeducation on leisure and free time: activities and function - Discussion of risk and beneficial aspects of strategies for a healthy use of information and communication technologies
Information on drug use and other addictive behaviors - Drug use information and other addictive behaviors - Promoting critical thinking on myths around drug use and other addictive behaviors
Values - Identify relevant values in the adolescence - Deliberate on individuals' own values

Design of the evaluation

Following gold standards in research on intervention effectiveness, the study design including the proximal and distal outcomes has been preregistered in ClinicalTrials.gov (ref: NCT05442294) (Hariton & Locascio, 2018). During academic years 2022-2025, the “Juego de Llaves” universal school prevention program will be evaluated in a set of schools in Spain. Following a logit model, outcome evaluation will be through six different stages (see Figure 1). The first stage will consist of developing an e-assessment (app) comprising the questionnaires and items for the outcome evaluation. Despite the use of e-assessments in prevention being an uncommon practice, these procedures are deemed feasible and reliable in school settings (Martínez-Loredo et al., 2021) and are though to improve the measurement of sensitive information such as drug use (Bryan et al., 2022). E-assessments have multiple benefits over pen-and-paper procedures, including cost-effectiveness, the possibility of implementing behavioral tasks with low face validity, and enhanced internal validity and quality control through branches and algorithms that give warning prompts on mandatory questions (Balaskas et al., 2021; Burgess-Hull & Epstein, 2021; Fonseca-Pedrero et al., 2022).

Figure 1. Description of the evaluation design. 

Before initiating the pilot study, the researchers will deliver training to personnel in charge of the evaluation (professionals from outside the school setting with experience in the prevention field) focused on technical procedures (how to use the tablets the app is installed on) and quality control (e.g., ensuring students answer the questions independently).

The study protocol will be sent for review to the Ethics Committee of the University of Oviedo and informed consent will be collected from parents/guardians and students (stage 2). The pilot of the assessment battery (stage 3) will be conducted with students enrolled in the four years of compulsory secondary education in Spain. The rationale is to include the widest range of potential responses and to check the suitability of both the procedure and items for the target population. This pilot study will allow us to readjust the assessment battery and estimate the sample size for assessing effectiveness (stage 4). The pilot testing of the e-assessment will take place in two schools that are already applying “Juego de Llaves”. A sample size of at least 250 participants will be considered on the basis that one participant per item test, with a minimum of 100, is deemed adequate according to existing guidelines (Anthoine et al., 2014). Descriptive data from e-assessment (means, frequencies) will be examined and magnitudes of associations will be used to conduct a priori estimations of the sample size in the efficacy assessments. Stage 5 will consist of matching control schools to intervention groups, balancing for community and participant (student) characteristics. This means that schools will work as ‘blocks' in a Non-Randomized Control Cluster Trial. This design is appropriate for naturalistic research, where it is not feasible to randomly assign individuals to clusters. The intervention condition will receive the “Juego de Llaves” program and the control arm will be non-active (non-structured prevention initiatives as usual).

The evaluation of “Juego de Llaves” will look at both process and outcome evaluations (stage 6). The process evaluation will follow best practice guidelines (Baranowski & Stables, 2000; Chacón Moscoso et al., 2013) and include the following outputs: i) recruitment and retention of participants, ii) degree of program implementation (fidelity to the program manual), and iii) barriers to implementation. For this outcome, focus groups with the intervention implementers (teachers) are planned, combining quantitative and qualitative (interviews, content analysis) approaches. This step is necessary when it comes to evaluating the feasibility and suitability of the program and identifying areas to be improved, amended, or removed (Medeiros et al., 2016).

The outcome evaluation (pre-post changes) will look at the short- and long-term effectiveness (12-, 24- and 36-months) of the program using the following variables: past-month substance use, family, and psychological variables. Primary outcomes will be as follows:

  • - Distal variables. Substance use (ever used, past-year and past-month tobacco, alcohol, and cannabis use), non-substance use behaviors (past-year and past-month gambling and gaming) and consequences of use. Past-month drunkenness episodes will be considered as well given the high prevalence of alcohol use in Spain.

  • - Proximal variables. These will involve the variables targeted in the “Juego de Llaves” program: emotional regulation, cognitive strategies, social interaction, leisure and free time, life values, drug use information, and attitudes towards drug use.

  • - Moderators. Sociodemographic variables (sex, age, academic performance) and psychological variables other than the proximal variables will be tested as variables affecting the observed changes.

Data analysis

A pipeline statistical approach is planned as follows. First, the sample size for the efficacy and effectiveness analyses will be estimated considering intraclass correlations (ICC) between participants' measures in the participating schools. ICC quantifies the degree of similarity of the clusters (data at the school level) and indicates how substance use rates vary at cluster level (Eldridge et al., 2009). Research has shown that even a small positive ICC can produce large effects in the variance and test hypothesis estimations, leading to underestimating standard errors and a high chance of Type I errors (MacKinnon & Lockwood, 2003). This is the case in many school-based prevention programs that have shown small ICCs of effects for common drug use measures historically (ICC ranging from r = .02-.05) (Murray & Hannan, 1990). This is particularly problematic as the lower the ICC, the more likely there are to be significant effects (Shackleton et al., 2016).

Second, descriptive analyses will be conducted to report on sample characteristics and feasibility of data collection more broadly. Following the recommendations from the International Test Commission, psychometric properties of the tests will also be examined (Hernández et al., 2020). Analyses will be performed using both Classical Test and Item Response Theories (Muñiz, 2010). Item analyses (mean and standard deviations, skewness, kurtosis, item discrimination) will be performed. Reliability and validity of the ad-hoc measures will be estimated. The model for the evaluation of tests by the Spanish Test Commission will be used as a guide to analyze the quality of the assessment based on its characteristics (CET-R; Hernández et al., 2016; Hernández et al., 2022).

Analysis of the outcome evaluation (effectiveness assessments) will be conducted using an intention-to-treat approach, meaning all participants successfully completing the baseline and receiving the first intervention session will be included in subsequent analyses.

Discussion

Following best practices in prevention science (European Monitoring Centre for Drugs and Drug Addiction [EMCDDA], 2010; Galanti, 2021; Gottfredson et al., 2015), we reported on the design of the evaluation of “Juego de Llaves”, a manualized universal prevention program targeted at substance use and other addictive behaviors in adolescents. The paper contributes to the open science movement by providing transparency of the evaluation procedure, program implementation and reproducibility (Grant et al., 2022). Results from this non-randomized control cluster trial will inform stakeholders about the sustainability of the program by providing data on long-term effectiveness in a large sample of adolescents in Spain.

In Spain, the Best Practice Portal (a recognized e-platform designed to help professionals and policy makers in the prevention field) suggests that evidence-based prevention programs in school settings that are implemented by properly trained professionals with guarantees of compliance, adherence and fidelity to intervention components, and proper levels of participant exposure are virtually non-existent. The available accounts are rather descriptive and process evaluations (e.g., participant satisfaction) are much more common than studies that evaluate program efficacy. Several factors have been offered in explanation for this, mainly at the organizational level. They include lack of financial resources, leadership, and the institutional culture (low priority given to extra-curricular content) towards evaluation (Moore et al., 2022; Petras et al., 2021).

Prior reviews of school-based prevention programs have shown that the most effective approaches target social and decision-making skills, social norms, and problem-solving skills (Botvin, 2000; Espada et al., 2015; Newton et al., 2022; Onrust et al., 2016). These studies have concluded that competence enhancement approaches are effective in reducing tobacco, alcohol, and marijuana use (and also in other lifestyle and mental health areas). In this regard, efficacy assessments are necessary so that less effective, iatrogenic practices currently in place in school settings can be replaced (Newton et al., 2022).

In a meta-analysis of Spanish school-based prevention programs, Espada et al. (2015) called for more rigorous evaluations and careful supervision and control of the fidelity and integrity of program implementation. Similarly, the National Science Prevention Coalition (2019) recognizes the usefulness and cost-benefit of implementing preventive health practices. These considerations map onto the objectives, procedures, and methodological approach considered in this evaluation protocol.

Internationally, the utility and cost-effectiveness of universal prevention in school settings has been acknowledged in multiple studies (Lee et al., 2017; Levin & Chishold, 2016). Unfortunately, most prevention programs produce small effects on substance use and to further improve effectiveness there is a need to identify robust moderators of behavioral change. In addition, meta-analyses of prevention effectiveness have concluded the need to conduct more rigorous evaluations, including fidelity and integrity of measures to ensure efficacy is properly assessed in prevention practices (Throuvala et al., 2019). In this paper, we report on an e-assessment comprising a wide number of measures that is expected to facilitate nuanced analyses of potential mediators and moderators of change, including specific and non-specific substance-use variables. The inclusion of transdiagnostic variables is important in terms of prevention (Simpson et al., 2022). Research on the determinants of addictive behaviors has led researchers to the proposition that interventions should take a broader approach to risk behavior prevention, targeting not only specific substance-use risk factors (normative beliefs, refusal skills), but also non-specific transdiagnostic targets (emotional regulation) (Kim et al., 2020). Similarly, prevention research has led to the conclusion that evaluation of programs should collect and report multiple health risk behaviors (MacArthur et al., 2018). In addition, these interventions must be evidence-based, accessible, and have protocols in order to facilitate widespread implementation.

This design of evaluation is subject to at least two limitations. First, given that substance use measures are self-reported, some potential bias in substance use estimations is expected. Nonetheless, self-reporting is deemed suitable and has been used in previous evaluations of universal prevention programs in schools (Gaete et al., 2022; Newton et al., 2022). Secondly, the participating schools will not be randomized, instead they will be selected from those that are currently delivering the intervention, limiting the generalizability of results, but ensuring ecological validity.

This study describes the design of the evaluation of the universal school-based prevention program “Juego de Llaves” in Spain. Following quality standards in prevention science, academics (university researchers) and implementers (Asociación Proyecto Hombre), with external support from institutional representatives (UNODC), were all involved in the design of the evaluation. Results from this project will indicate the sustainability of the “Juego de Llaves” program. The authors hope this report will serve as inspiration to improve the culture of evaluation in Spain and facilitate the transfer of knowledge to the community along with reproducibility.

Acknowledgements

The authors would like to thank the Asociación Proyecto Hombre, its Prevention Commission, and the United Nations Office on Drugs and Crime for their active participation in this work.

References

Aguilar, M. P.O., Ruisoto Palomera, P., López Núñez, C., Torres Maroño, C., Vaca Gallegos, S., Pineda Cabrera, N. J., & Real Deus, J. E. (2022). The role of age of onset on problematic alcohol consumption: Artefact or cohort effect? Clínica y Salud, 33(1), 11-17. https://doi.org/10.5093/clysa2021a11Links ]

Al-Halabí, S., Secades-Villa, R., Pérez, J. M., Fernández-Hermida, J. R., García-Rodríguez, O., & Crespo, J. L. (2006). Family predictors of parent participation in an adolescent drug abuse prevention program.Drug and Alcohol Review,25(4), 327-331. https://doi.org/10.1080/09595230600741149Links ]

Anthoine, E., Moret, L., Regnault, A., Sébille, V., & Hardouin, J. B. (2014). Sample size used to validate a scale: A review of publications on newly-developed patient reported outcomes measures.Health and Quality of Life Outcomes,12, Article 2. https://doi.org/10.1186/s12955-014-0176-2Links ]

Asociación Proyecto Hombre. (2014). Juego de Llaves. Actualización del programa de prevención escolar y familiar Entre Todos [Set of Keys program. Update of the school and family prevention between all]. Asociación Proyecto Hombre. [ Links ]

Balaskas, A., Schueller, S. M., Cox, A. L., & Doherty, G. (2021). Ecological momentary interventions for mental health: A scoping review. PLOS ONE, 16(3), Article e0248152. https://doi.org/10.1371/JOURNAL.PONE.0248152Links ]

Bandura, A. (1977), Social Learning Theory. Prentice Hall. [ Links ]

Baranowski, T., & Stables, G. (2000). Process evaluations of the 5-a-day projects.Health Education & Behavior: The Official Publication of the Society for Public Health Education,27(2), 157-166. https://doi.org/10.1177/109019810002700202Links ]

Botvin G. J. (2000). Preventing drug abuse in schools: Social and competence enhancement approaches targeting individual-level etiologic factors.Addictive Behaviors,25(6), 887-897. https://doi.org/10.1016/s0306-4603(00)00119-2Links ]

Botvin, G. J., & Griffin, K. W. (2001). Life skills training: Theory, methods, and effectiveness of a drug abuse prevention approach. In Eric F. Wagner & Holly B. Waldron (Eds.), Innovations in Adolescent Substance Abuse Interventions (pp. 31-50). Pergamon. [ Links ]

Botvin, G. J., & Griffin, K. W. (2002). Life skills training as a primary prevention approach for adolescent drug abuse and other problem behaviors.International Journal of Emergency Mental Health, 4(1), 41-47. [ Links ]

Boyce, W., Torsheim, T., Currie, C., & Zambon, A. (2006). The Family Affluence Scale as a measure of national wealth: Validation of an adolescent self- report measure. Social Indicators Research, 78(3), 473-487. https://doi.org/10.1007/s11205-005-1607-6Links ]

Bousoño, M., Al-Halabí, S., Burón, P., Garrido, M., Díaz-Mesa, E. M., Galván, G., García-Álvarez, L., Velasco, Á., Rodríguez-Revuelta, J., Wasserman, C., Carli, V., Hoven, C., Sarchiapone, M., Wasserman, D., Bousoño, M., García-Portilla, M. P., Iglesias, C., Sáiz, P. A., & Bobes, J. (2021). Alcohol use and risk factors for self-harm behavior in Spanish adolescents. Adicciones,33(1), 53-62. https://doi.org/10.20882/adicciones.1239Links ]

Bradshaw, C. P., Waasdorp, T. E., Debnam, K. J., & Johnson, S. L. (2014). Measuring school climate in high schools: A focus on safety, engagement, and the environment.The Journal of School Health,84(9), 593-604. https://doi.org/10.1111/josh.12186Links ]

Bryan, L. N., Smith-Grant, J., Brener, N., Kilmer, G., Lo, A., Queen, B., & Underwood, J. M. (2022). Electronic versus paper and pencil survey administration mode comparison: 2019 Youth Risk Behavior Survey.The Journal of School Health. 92(8), 804-811. https://doi.org/10.1111/josh.13184Links ]

Burgess-Hull, A., & Epstein, D. H. (2021). Ambulatory assessment methods to examine momentary state-based predictors of opioid use behaviors. Current Addiction Reports, 8(1), 122-135. https://doi.org/10.1007/S40429-020-00351-7Links ]

Burkhart, G., Tomczyk, S., Koning, I., & Brotherhood, A. (2022). Environmental prevention: Why do we need it now and how to advance it?Journal of Primary Prevention,43(2), 149-156. https://doi.org/10.1007/s10935-022-00676-1Links ]

Caneto, F., Pilatti, A., Cupani, M., & Pautassi, R. M. (2020). Validation of the Spanish version of the brief UPPS-P impulsivity scale for children and adolescents (BUPPS-P NA). Journal of Psychopathology and Clinical Psychology, 25(3), 175-185. https://doi.org/10.5944/rppc.26249Links ]

Carbonneau, R., Vitaro, F., Brendgen, M., & Tremblay, R. E. (2022). Alcohol, marijuana and other illicit drugs use throughout adolescence: Co-occurring courses and preadolescent risk-factors.Child Psychiatry and Human Development. Advance online publication. https://doi.org/10.1007/s10578-021-01202-wLinks ]

Chacón Moscoso, S., Sanduvete Chaves, S., Portell Vidal, M., & Anguera Argilaga, M.T. (2013). Reporting a program evaluation: Needs, program plan, intervention, and decisions. International Journal of Clinical and Health Psychology, 13(1), 58-66. https://doi.org/10.1016/S1697-2600(13)70008-5Links ]

Dalgleish, T., Black, M., Johnston, D., & Bevan, A. (2020). Transdiagnostic approaches to mental health problems: Current status and future directions. Journal of Consulting and Clinical Psychology, 88(3), 179-195. https://doi.org/10.1037/ccp0000482Links ]

Eldridge, S.M., Ukoumunne, O.C., & Carlin, J.B. (2009). The intra-cluster correlation coefficient in Cluster Randomized Trials: A review of definitions. International Statistical Review, 77(3), 378-394. https://doi.org/10.1111/j.1751-5823.2009.00092.xLinks ]

Engel G. L. (1980). The clinical application of the biopsychosocial model. The American Journal of Psychiatry, 137(5), 535-544. [ Links ]

Eslava, D., Martínez-Vispo, C., Villanueva-Blasco, V.J., Errasti-Pérez, J. M., & Al-Halabí, S. (2022). Family conflict and the use of conventional and electronic cigarettes in adolescence: The role of impulsivity traits.International Journal of Mental Health and Addiction. Advance online publication. https://doi.org/10.1007/s11469-022-00828-8Links ]

Espada, J. P., Gonzálvez, M. T., Orgilés, M., Lloret, D., & Guillén-Riquelme, A. (2015). Meta-analysis of the effectiveness of school substance abuse prevention programs in Spain.Psicothema,27(1), 5-12. https://doi.org/10.7334/psicothema2014.106Links ]

European Monitoring Centre for Drugs and Drug Addiction. (2010). Prevention and evaluation resources Kit (PERK). A manual for prevention professionals. Publications Office of the European Union. [ Links ]

Faggiano, F., Minozzi, S., Versino, E., & Buscemi, D. (2014). Universal school-based prevention for illicit drug use. The Cochrane Database of Systematic Reviews, 2014(12), CD003020. https://doi.org/10.1002/14651858.CD003020.pub3Links ]

Fernández-Artamendi, S., Martínez-Loredo, V., Fernández-Hermida, J.R., & Carballo-Crespo, J.L. (2016). The Impulsive Sensation Seeking (ImpSS): Psychometric properties and predictive validity regarding substance use with Spanish adolescents.Personality and Individual Differences, 90, 163-168.https://doi.org/10.1016/j.paid.2015.11.003Links ]

Fernández-Artamendi, S., Martínez-Loredo, V., & López-Núñez, C. (2021). Sex differences in comorbidity between substance use and mental health in adolescents: Two sides of the same coin.Psicothema,33(1), 36-43. https://doi.org/10.7334/psicothema2020.297Links ]

Fernández-Calderón, F., Bravo, A.J., Díaz-Batanero, C., Palamar, J.J., & Carmona- Márquez, J. (2022). Alcohol protective behavioral strategies in young Spanish adults in the community: A prospective study of perceived efficacy and social norms. Psicothema, 34(2), 266-274. https://doi.org/10.7334/psicothema2021.413Links ]

Fernández Hermida, J.R., & Villamarín-Fernández, S. (2021). Libro Blanco de la Salud Mental Infanto-Juvenil. Volumen 1 [White Paper on Child and Adolescent Mental Health. Volume 1 ] . Consejo General de la Psicología de España. [ Links ]

Fonseca-Pedrero, E., Inchausti, F., Pérez-Gutiérrez, L., Aritio Solana, R., Ortuño-Sierra, J., Sánchez-García, M., Lucas-Molina, B., Domínguez, C., Foncea, D., Espinosa, V., Gorría, A., Urbiola-Merina, E., Fernández, M., Merina Díaz, C., Gutiérrez, C., Aures, M., Campos, M. S., Domínguez-Garrido, E., & Pérez de Albéniz Iturriaga, A. (2018). Ideación suicida en una muestra representativa de adolescentes españoles [Suicidal ideation in a community-derived sample of Spanish adolescents]. Revista de Psiquiatría y Salud Mental,11(2), 76-85. https://doi.org/10.1016/j.rpsm.2017.07.004Links ]

Fonseca-Pedrero, E., Ródenas-Perea, G., Pérez-Albéniz, A., Al-Halabí, S., Pérez, M., & Muñiz, J. (2022). The time of ambulatory assessment. Papeles del Psicólogo, 43(1), 21-28 https://doi.org/10.23923/pap.psicol.2983Links ]

Fortune, E. E., MacKillop, J., Miller, J. D., Campbell, W. K., Clifton, A. D., & Goodie, A. S. (2013). Social density of gambling and its association with gambling problems: An initial investigation. Journal of Gambling Studies, 29(2), 329-342. https://doi.org/10.1007/s10899-012-9303-3Links ]

Foxcroft, D. R., & Tsertsvadze, A. (2011). Universal school-based prevention programs for alcohol misuse in young people. The Cochrane Database of Systematic Reviews, 5, CD009113. https://doi.org/10.1002/14651858.CD009113Links ]

Frobel, W., Grafe, N., Meigen, C., Vogel, M., Hiemisch, A., Kiess, W., & Poulain, T. (2022). Substance use in childhood and adolescence and its associations with quality of life and behavioral strengths and difficulties. BMC Public Health, 22(1), 275. https://doi.org/10.1186/s12889-022-12586-2Links ]

Gaete, J., Ramírez, S., Gana, S., Valenzuela, D., & Araya, R. (2022). The Unplugged program in Chile (“Yo sé lo que quiero”) for substance use prevention among early adolescents: Study protocol for a randomized controlled trial. Trials, 23(1), Article 76. https://doi.org/10.1186/s13063-021-05904-3Links ]

Galanti M. R. (2021). Building a culture of prevention: Tasks for multi-taskers. Prevention Science, 22(1), 91-93. https://doi.org/10.1007/s11121-020-01159-7Links ]

García-Rodríguez, O., Secades-Villa, R., Weidberg, S., & Yoon, J. H. (2013). A systematic assessment of delay discounting in relation to cocaine and nicotine dependence.Behavioural Processes,99, 100-105. https://doi.org/10.1016/j.beproc.2013.07.007Links ]

Gil Carmena, E. (2005). Evaluación del programa de prevención escolar y familiar “Entre Todos” [Evaluation of the school and family prevention program "Between all"]. Asociación Proyecto Hombre. [ Links ]

Gómez-Fraguela, J. A., Luengo Martín, A., & Romero Triñanes, E. (2002). Prevención del consumo de drogas en la escuela: cuatro años de seguimiento de un programa [Prevention of drug use at school: Four years of follow-up of a program].Psicothema, 14(4), 685-692. [ Links ]

Gómez-Fraguela, J.A., Luengo, A., Romero, E., & Villar-Torres, P. (2003). El programa Construyendo Salud: Un programa de prevención del abuso de drogas empíricamente fundamentado [The Building Health program: An empirically based drug abuse prevention program]. Revista Internacional de Ciencias Sociales y Humanidades, 13(1), 165-202. [ Links ]

Gottfredson, D. C., Cook, T. D., Gardner, F. E., Gorman-Smith, D., Howe, G. W., Sandler, I. N., & Zafft, K. M. (2015). Standards of evidence for efficacy, effectiveness, and scale-up research in prevention science: Next Generation.Prevention Science,16(7), 893-926. https://doi.org/10.1007/s11121-015-0555-xLinks ]

Grant, S., Wendt, K. E., Leadbeater, B. J., Supplee, L. H., Mayo-Wilson, E., Gardner, F., & Bradshaw, C. P. (2022). Transparent, open, and reproducible prevention science.Prevention Science. 23, 701-722. https://doi.org/10.1007/s11121-022-01336-wLinks ]

Gray, K. M., & Squeglia, L. M. (2018). Research review: What have we learned about Adolescent substance use? Journal of Child Psychology and Psychiatry, and Allied Disciplines, 59(6), 618-627. https://doi.org/10.1111/jcpp.12783Links ]

Hariton, E., & Locascio, J. J. (2018). Randomised controlled trials - the gold standard for effectiveness research: Study design: Randomised controlled trials. BJOG: An International Journal of Obstetrics and Gynaecology, 125(13), 1716. https://doi.org/10.1111/1471-0528.15199Links ]

Hernández, A., Elosua, P., Fernández-Hermida, J.R., & Múñiz, J. (2022). Test Comission: Twenty-five years working on test quality. Psychologist Papers, 43(1), 55-62. https://doi.org/10.23923/pap.psicol.2978Links ]

Hernández, A., Hidalgo, M. D., Hambleton, R. K., & Gómez-Benito, J. (2020). International Test Commission guidelines for test adaptation: A criterion checklist.Psicothema,32(3), 390-398. https://doi.org/10.7334/psicothema2019.306Links ]

Hernández, A., Ponsoda, V., Muñiz, J., Prieto, G., & Elosua, P. (2016). Revisión del modelo para evaluar la calidad de los tests utilizados en España [Review of the model to evaluate the quality of the tests used in Spain]. Papeles del Psicólogo, 37, 192-197. [ Links ]

Kim, H. S., Hodgins, D. C., Kim, B., & Wild, T. C. (2020). Transdiagnostic or disorder specific? Indicators of substance and behavioral addictions nominated by people with lived experience.Journal of Clinical Medicine, 9(2), 334. https://doi.org/10.3390/jcm9020334Links ]

Kirby, K. N., Petry, N. M., & Bickel, W. K. (1999). Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls.Journal of Experimental Psychology. General,128(1), 78-87. https://doi.org/10.1037//0096-3445.128.1.78Links ]

Komro K. A. (2020). The centrality of law for prevention. Prevention Science, 21(7), 1001-1006. https://doi.org/10.1007/s11121-020-01155-xLinks ]

Lee, Y. Y., Barendregt, J. J., Stockings, E. A., Ferrari, A. J., Whiteford, H. A., Patton, G. A., & Mihalopoulos, C. (2017). The population cost-effectiveness of delivering universal and indicated school-based interventions to prevent the onset of major depression among youth in Australia.Epidemiology and Psychiatric Sciences,26(5), 545-564. https://doi.org/10.1017/S2045796016000469Links ]

Levin, C., & Chisholm, D. (2016). Cost-effectiveness and affordability of interventions, policies, and platforms for the prevention and treatment of mental, neurological, and substance use disorders. In V. Patel (Eds.) et. al.,Mental, neurological, and substance use disorders: Disease control priorities, Third Edition (Volume 4). The International Bank for Reconstruction and Development /The World Bank. [ Links ]

Maalouf, W., Stojanovic, M., Kiefer, M., Campello, G., Heikkila, H., & El-Khatib, Z. (2019). Lions Quest Skills for adolescence program as a school intervention to prevent substance use-a pilot study across three south east European countries.Prevention Science,20(4), 555-565. https://doi.org/10.1007/s11121-019-01012-6Links ]

MacArthur, G., Caldwell, D. M., Redmore, J., Watkins, S. H., Kipping, R., White, J., Chittleborough, C., Langford, R., Er, V., Lingam, R., Pasch, K., Gunnell, D., Hickman, M., & Campbell, R. (2018). Individual-, family-, and school-level interventions targeting multiple risk behaviours in young people. The Cochrane Database of Systematic Reviews, 10, CD009927. https://doi.org/10.1002/14651858.CD009927.pub2Links ]

MacKinnon, D. P., & Lockwood, C. M. (2003). Advances in statistical methods for substance abuse prevention research.Prevention Science, 4(3), 155-171. https://doi.org/10.1023/a:1024649822872Links ]

Martínez-Loredo, V., Fernández-Artamendi, S., Weidberg, S., Pericot, I., López-Núñez, C., Fernández-Hermida, J.R., & Secades, R. (2016). Parenting styles and alcohol use among adolescents: A longitudinal study. European Journal of Investigation in Health, 6(1), 27-36. https://doi.org/10.1989/ejihpe.v6i1.146Links ]

Martínez-Loredo, V., & Fernández-Hermida, J. R. (2019). Impulsivity-targeted selective preventive interventions and treatments in addictive behaviors.Revista de Psicología Clínica con Niños y Adolescentes, 6(3), 1-7. https://doi.org/10.21134/rpcna.2019.06.2.4Links ]

Martínez-Loredo, V., Fernández-Hermida, J. R., Fernández-Artamendi, S., Carballo, J. L., García-Cueto, E., & García-Rodríguez, O. (2015). The association of both self-reported and behavioral impulsivity with the annual prevalence of substance use among early adolescents.Substance Abuse Treatment, Prevention, and Policy,10, Article 23. https://doi.org/10.1186/s13011-015-0019-0Links ]

Martínez-Loredo, V., Fernández-Hermida, J. R., Carballo, J. L., & Fernández- Artamendi, S. (2017). Long-term reliability and stability of behavioral measures among adolescents: The Delay Discounting and Stroop tasks.Journal of Adolescence, 58, 33-39.https://doi.org/10.1016/j.adolescence.2017.05.003Links ]

Martínez-Loredo, V., González-Roz, A., García-Cueto, E., Grande-Gosende, A., & Fernández-Hermida, J.R. (2021). Does e-assessment always fit digital natives? A within-subject comparison between paper- and tablet-based gambling assessments in adolescents.Revista de Psicología Clínica con Niños y Adolescentes, 8(2), 17-22. https://doi.org/10.21134/rpcna.2021.08.2.2Links ]

Medeiros, P.F.P., Cruz, J.I., Schneider, D.R., Sanudo, A., & Sanchez, Z.M. (2016). Process evaluation of the implementation of the Unplugged Program for drug use prevention in Brazilian schools. Substance Abuse Treatment, Prevention, and Policy, 11, Article 2. https://doi.org/10.1186/s13011-015-0047-9Links ]

Momeñe, J., Estévez, A., Pérez-García, A.M., Jiménez, J., Chávez-Vera, M.D., Olave, L., & Iruarrizaga, I. (2021). Substance abuse and its relationship to emotional dependence, attachment and emotional regulation in adolescents. Anales de Psicología, 37(1), 121-132. https://doi.org/10.6018/analesps.404671Links ]

Moore, A., Stapley, E., Hayes, D., Town, R., & Deighton, J. (2022). Barriers and facilitators to sustaining school-based mental health and wellbeing interventions: A systematic review.International Journal of Environmental Research and Public Health,19(6), 3587. https://doi.org/10.3390/ijerph19063587Links ]

Murphy, J. G., Correia, C. J., Colby, S. M., & Vuchinich, R. E. (2005). Using behavioral theories of choice to predict drinking outcomes following a brief intervention.Experimental and Clinical Psychopharmacology,13(2), 93-101. https://doi.org/10.1037/1064-1297.13.2.93Links ]

Murray, D. M., & Hannan, P. J. (1990). Planning for the appropriate analysis in school-based drug-use prevention studies.Journal of Consulting and Clinical Psychology, 58(4), 458-468.https://doi.org/10.1037/0022-006X.58.4.458Links ]

Muñiz, J. (2010). Las teorías de los tests: Teoría clásica y teoría de respuesta a los ítems [Test theories: Classical test theory and item response theory].Papeles del Psicólogo, 31(1), 57-66. [ Links ]

National Science Prevention Coalition (2019). What is prevention science?https://www.npscoalition.org/prevention-scienceLinks ]

Navarro, J., Vara, M. D., Cebolla, A., & Baños, R. M. (2018). Validación psicométrica del cuestionario de regulación emocional (ERQ-CA) en población adolescente española [Psychometric validation of the emotional regulation questionnaire (ERQ-CA) in adolescent population]. Revista de Psicología Clínica con Niños y Adolescentes, 5(1), 9-15. https://doi.org/10.21134/rpcna.2018.05.1.1Links ]

Newton, N. C., Stapinski, L. A., Slade, T., Sunderland, M., Barrett, E. L., Champion, K. E., Chapman, C., Smout, A., Lawler, S. M., Mather, M., Debenham, J., Castellanos-Ryan, N., Conrod, P. J., & Teesson, M. (2022). The 7-Year effectiveness of school-based alcohol use prevention from adolescence to early adulthood: A randomized controlled trial of universal, selective, and combined interventions.Journal of the American Academy of Child and Adolescent Psychiatry,61(4), 520-532.https://doi.org/10.1016/j.jaac.2021.10.023Links ]

Observatorio Español de las Drogas y las Adicciones. (2021a). Informe 2021. Alcohol, tabaco y drogas ilegales en España [Report 2021. Alcohol, tobacco and illegal drugs in Spain] . Ministerio de Sanidad. Delegación del Gobierno para el Plan Nacional sobre Drogas. [ Links ]

Observatorio Español de las Drogas y las Adicciones. (2021b). Informe sobre adicciones comportamentales 2021 [Report on behavioral addictions 2021]. Ministerio de Sanidad. Delegación del Gobierno para el Plan Nacional sobre Drogas. [ Links ]

Onrust, S. A., Otten, R., Lammers, J., & Smit, F. (2016). School-based programmes to reduce and prevent substance use in different age groups: What works for whom? Systematic review and meta-regression analysis.Clinical Psychology Review,44, 45-59. https://doi.org/10.1016/j.cpr.2015.11.002Links ]

Ortuño-Sierra, J., Aritio-Solana, R., & Fonseca-Pedrero, E. (2018). Mental health difficulties in children and adolescents: The study of the SDQ in the Spanish National Health Survey 2011-2012. Psychiatry Research,259, 236-242. https://doi.org/10.1016/j.psychres.2017.10.025Links ]

Pérez, A., Thrasher, J., Monzón, J. C., Arillo-Santillán, E., Barnoya, J., & Mejía, R. (2021). La escala de afluencia familiar en la investigación sobre inequidades sociales en salud en adolescentes latinoamericanos. Salud Pública de Mexico, 63(2), 201-210. https://doi.org/10.21149/11793Links ]

Petras, H., Israelashvili, M., & Miller, B. (2021). Introduction to the special issue on “promoting a culture of prevention: An international perspective”.Prevention Science, 22(1), 1-6. https://doi.org/10.1007/s11121-020-01190-8Links ]

Resilience Research Centre. (2018). CYRM and ARM user manual. Resilience Research Centre, Dalhousie University. http://www.resilienceresearch.org/Links ]

Santor, D.A., Messervey, D., & Kusumakar, V. (2000). Measuring peer pressure, Popularity, and conformity in adolescent boys and girls: Predicting school performance, sexual attitudes, and substance abuse. Journal of Youth and Adolescence,29(2), 163-182. https://doi.org/10.1023/A:1005152515264Links ]

Shackleton, N., Hale, D., Bonell, C., & Viner, R. M. (2016). Intraclass correlation values for adolescent health outcomes in secondary schools in 21 European countries.SSM - Population Health, 2, 217-225. https://doi.org/10.1016/j.ssmph.2016.03.005Links ]

Simpson, S. B., Hsu, T., Hoffman, L., & Raposa, E. B. (2022). A cross-cultural examination of the role of youth emotion regulation in mentoring relationships.Prevention Science. 23, 1404-1413. https://doi.org/10.1007/s11121-022-01365-5Links ]

Throuvala, M. A., Griffiths, M. D., Rennoldson, M., & Kuss, D. J. (2019). School-based prevention for adolescent internet addiction: Prevention is the key. A systematic literature review.Current Neuropharmacology,17(6), 507-525. https://doi.org/10.2174/1570159X16666180813153806Links ]

United Nations Office on Drugs and Crime. (2018). International Standards on Drug Use Prevention. UNODC and the World Health Organization. [ Links ]

Weidberg, S., Aonso-Diego, G., García-Fernández, G., & Secades-Villa, R. (2022). Prevalence and correlates of prescription drug misuse among Spanish adolescents. Psicothema, 34(2), 275-282. https://doi.org/10.7334/psicothema2021.389Links ]

Weiss, N. H., Kiefer, R., Goncharenko, S., Raudales, A. M., Forkus, S. R., Schick, M. R., & Contractor, A. A. (2022). Emotion regulation and substance use: A meta-analysis.Drug and Alcohol Dependence, 230, Article 109131. https://doi.org/10.1016/j.drugalcdep.2021.109131Links ]

Wilson, J.J., & Ferguson, M. (2022). Child and adolescent substance abuse disorders. In Akerele, E. (Ed.), Substance and non-substance related addictions. Springer. https://doi.org/10.1007/978-3-030-84834-7_4Links ]

Wolitzky-Taylor, K., McBeth, J., Guillot, C. R., Stone, M. D., Kirkpatrick, M. G., Zvolensky, M. J., Buckner, J. D., & Leventhal, A. M. (2016). Transdiagnostic processes linking anxiety symptoms and substance use problems among adolescents.Journal of Addictive Diseases, 35(4), 266-277.https://doi.org/10.1080/10550887.2016.1207969Links ]

FundingThe study received funding from the Spanish National Plan on Drugs (call for aid to NGOs for supra-community programs on addictions in 2021) and the University of Oviedo Foundation (ref: FUO-22-023).

Cite as:González-Roz, A., Martínez-Loredo, V., Maalouf, W., Fernández-Hermida, J. R., & Al-Halabí, S. (2023). Protocol for a Trial Assessing the Efficacy of a Universal School-Based Prevention Program for Addictive Behaviors. Psicothema, 35(1), 41-19. https://doi.org/10.7334/psicothema2022.251.

Received: May 26, 2022; Accepted: July 28, 2022

Autor y e-mail de correspondencia: Susana Al-Halabí, University of Oviedo Facultad de Psicología. 33003 Oviedo alsusana@uniovi.es

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License