Abstract
The digitalization of society increasingly blurs boundaries between analog and digital worlds, offering opportunities such as telemedicine and global connectivity through digital platforms. However, it also presents risks, including cyberbullying, addiction potential, harmful content, misinformation, and privacy concerns from data breaches and surveillance technologies. Social media, with its global reach, amplifies both opportunities for positive engagement and the responsibility to navigate largely unregulated content. Adolescents, due to their developing critical evaluation skills and high prevalence of mental health challenges, are particularly vulnerable in this space and must navigate the risks associated with social media while simultaneously leveraging it for essential developmental tasks, such as identity formation and building social connections. To support them in this challenge, we propose adapting the traditional life skills approach to address the challenges of social media use, empowering adolescents to navigate both digital and analog environments effectively. These life skills include critical thinking, communication, and managing emotions and stress – all of which are essential for navigating social media. Despite its complexities, social media offers a unique platform for health promotion and prevention interventions due to its wide accessibility and reach. It holds significant promise for adolescent health by providing information, motivation, and social support. However, evidence-based, youth-centered prevention strategies on these platforms are still in early development and require further research to ensure effectiveness. Prevention programs integrating proven behavior change techniques, aligning with the preferences and needs of adolescents, and teaching essential life skills can empower them to navigate digital and analog challenges effectively.
Keywords: Social media, Adolescents, Prevention and health promotion, Life skills, Media literacy
Introduction
Digitalization has initiated a profound cultural shift, increasingly merging the digital and physical worlds, thereby creating new opportunities and risks. An important phenomenon in this context is the rise of social media, which is used by 5.17 billion people worldwide (Statista, 2024). Social media platforms allow users to create content and reach a wide audience (Korda & Itani, 2013). This rapid and boundless communication facilitates greater visibility of social, ethical, political, and environmental issues. While the unrestricted access to knowledge and the free dissemination of content offer many benefits, content is rarely censored or editorially reviewed, placing the responsibility for critical consumption and managing the associated impacts on the individual.
Adolescents, defined by the World Health Organization (WHO) as individuals aged 10 to 19 (WHO, 2001), are particularly in need of support in this regard. Despite being highly active in the digital realm, their digital, socio-emotional, and cognitive skills are often not yet fully developed to adequately navigate the challenges posed by social media use. These challenges include understanding complex digital mechanisms like algorithms, distinguishing between credible and non-credible sources, making moral decisions, and engaging beneficially in social interactions (Festl, 2021; Initiative D21, 2021). Additionally, adolescence is a period characterized by a high prevalence of mental health issues, with many psychiatric disorders first emerging during this stage of life (Bohl et al., 2022; Steffen et al., 2019).
In light of the widespread use of social media among adolescents and the associated opportunities and challenges, this article aims to explore ways to empower adolescents for healthy and beneficial social media use while strengthening their overall well-being, guided by the established concept of life skills.
Opportunities of Social Media for Adolescents
Social media has become an integral part of adolescents’ daily lives and social environment. 95% of teens aged 13 to 17 use YouTube, making it the most widely used platform among this group. Other platforms such as TikTok (63%) and Instagram (59%) are also highly popular (Vogels et al., 2022). The amount of time spent on social media increases with age: 15- to 16-year-olds spend almost twice as much time on these platforms as 9- to 11-year-olds (Blanchard et al., 2023). In Germany, the average daily time spent on social media among adolescents in 2021 was 241 min, partly influenced by the COVID-19 pandemic (DAK, 2020). Social media provides adolescents with opportunities to interact with peers, explore their identities, practice self-presentation, and enhance autonomy, motivation, and decision-making skills (Moorhead et al., 2013; Nesi et al., 2018). Thus, they use social media for important developmental tasks. As a result, social media use can positively contribute to flourishing by enhancing relationships through social support and the development of social capital. It can also play a vital role in strengthening identity, particularly for minorities and individuals with disabilities, by providing spaces for representation and self-expression. Additionally, social media can foster a sense of mastery through opportunities for learning, building self-efficacy, and achieving personal accomplishments. Collectively, these experiences of connection, inspiration, and empowerment can promote positive well-being (Gudka et al., 2021).
Risks of Social Media for Adolescents
While social media may promote social connection and provide a sense of belonging (Baumeister & Leary, 1995), they also present several risks: Meta-analyses show that the prevalence of social media addiction ranges from 5 to 31%, depending for example on the classification scheme used, cultural, geographical, and socioeconomical factors, or the design and features of the social media platform itself (Cheng et al., 2021; Ong & Lee, 2022).
Moreover, personal usage data is often sold to companies, and corresponding algorithms use this data to encourage consumption, which can undermine individual autonomy (Zuboff, 2019), with 72% of customer purchasing decisions being shaped by algorithms (Prabha et al., 2025). Furthermore, content is frequently shared without being regulated or censored according to youth protection standards, exposing users to harmful information and products (Arora et al., 2021; Dunlop et al., 2016). This can lead to the spread of misinformation, hate speech, and political polarization (Allcott et al., 2020). Almost 90% of young people between the ages of 18 to 34 have been exposed to harmful content at least once in their life (Enock et al., 2023). Additionally, users can become victims of cyberbullying or sexting (Kowalski et al., 2014; Rafla et al., 2014). According to a recent study, 55% of students in the United States aged 13 to 17 have experienced cyberbullying at some point in their lives (Cyberbullying Research Center, 2024).
Adolescents particularly need to be protected from the risks of social media use because their neural maturation processes are incomplete during the teenage years, and their knowledge of social media functions and legal regulations is often limited (Crone & Konijn, 2018; Initiative D21, 2021). However, not all adolescents are at the same risk regarding social media use and its consequences. In fact, social media use is influenced by various factors, such as emotion regulation, personality traits, and specific social needs, such as the need for belonging or the fear of missing out (Beyens et al., 2016; Ostendorf et al., 2020; Wartberg et al., 2021). When social media use exhibits addiction-like behaviors, such as preoccupation, compulsion, and excessive engagement, it is referred to as problematic social media use (Shannon et al., 2022). Recent meta-analyses and systematic reviews show that this dysfunctional way of using social media is associated with mental health problems like depression, anxiety, and loneliness, increased stress, and risky (sexual) behavior in adolescents with small to medium effect sizes (Huang, 2022; Leo et al., 2023; Shannon et al., 2022; Vannucci et al., 2020). In view of the many challenges, risks, and potentially negative symptoms associated with social media use, developing skills for a balanced social media use that considers risks and benefits can therefore be seen as both a central age-appropriate challenge and a key resource in the lives of adolescents (Festl, 2021).
Life Skills in the Digital Era or Digital Life Skills
To this end, we propose integrating the established concept of life skills, essential for healthy development (WHO, 1999), with digital skills (Aufenanger, 2002; Brandhofer & Wiesner, 2018; Festl, 2021; Initiative D21, 2021), which are crucial for the autonomous use of digital tools like social media, into a unified framework of digital life skills.
Originally, life skills were defined as the abilities that enable individuals to effectively manage the challenges of everyday life. In 1999, the World Health Organization (WHO) identified five core areas of life skills: (a) decision making and problem solving, (b) creative and critical thinking, (c) communication and interpersonal skills, (d) self-awareness and empathy, and (e) coping with emotions and stress (WHO, 1999). Life skills promote academic success, health, and well-being (Hage et al., 2007; WHO, 1994, 1999) and are associated with the reduction of risky behaviors such as alcohol and drug abuse (Botvin, 1983) and bullying (Gaffney et al., 2019). They also contribute to the prevention and management of chronic diseases (Norris et al., 2001), positively affect the current and future mental health of children and adolescents, and serve as a key protective factor against mental disorders or health issues (Ciarrochi et al., 2003; Jones et al., 2015).
Fostering Digital Competence and Life Skills
Life skills are also embedded in concepts such as (social) media literacy (Festl, 2021) and media competence (Aufenanger, 2002; Brandhofer & Wiesner, 2018), which have emerged with the rise of digitalization. These concepts encompass self- and social competence, critical thinking, and communication skills related to media, as well as the development of a media identity and corresponding self-awareness (Aufenanger, 2002; Brandhofer & Wiesner, 2018; Festl, 2021). Additionally, the Digital Skills Gap Index (Initiative D21, 2021) – a global ranking that assesses how well economies are prepared to meet existing and emerging digital challenges – emphasizes that people especially need problem-solving and reflection skills to understand and engage with digital mechanisms.
The strong overlap between life skills and digital skills highlights that, in today's digital world, it is necessary to master both. Young people face a multitude of challenges that manifest in both digital and analog forms (e.g., peer pressure, self-expression). Therefore, fostering life skills follows an integrative logic by focusing on the commonalities of these challenges in a digitally shaped world and how they influence human experiences and behavior. An overview of the necessity of life skills in the context of social media is provided in Table 1.
Table 1.
Life skills (according to WHO, 1999) in the context of social media
| Life skills | Examples for the necessity in the social media context |
|---|---|
| (a) Decision-making and Problem Solving |
Decision-making is required in the process of the presentation of sensitive content as well as privacy settings. What content can securely be posted? What settings help protect privacy? Problem-solving skills are required when it comes to dealing with online problems such as cyber bullying, sexting, or other interpersonal conflicts. Once a dysfunctional way of using social media is established, people need problem-solving skills in order to counter their problematic use of social media. |
| (b) Creative Thinking and Critical Thinking | Creative and critical thinking is crucial when it comes to finding solutions for (interpersonal) problems that arise online, as well as handling with (health-related) information. People need to critically reflect on the relevance and truthfulness of content on social media. Creative thinking is further required to design a unique self-representation and identity online. |
| (c) Communication and Interpersonal Skills |
Appreciative communication in the context of social media, such as recognizing, valuing, and positively reinforcing others' contributions, is crucial in fostering connection and mutual respect in digital interactions. Interpersonal skills are further required to deal with comments, opinions, peer pressure, trends etc. on social media. Maintaining social relationships online has further become a relevant skill in a more digitalized world. |
| (d) Self-awareness and Empathy |
Building a feeling of self-worth and a strong identity online is a relevant step in establishing healthy self-awareness, as well as the functional reception of self-esteem-related content (body schema, idealized content). Empathy is required when interacting with social contacts online. |
| (e) Dealing with emotions and stress |
Social media can be used in a dysfunctional way as an escape from reality. Healthy emotion and stress regulation is therefore crucial in order to be able to use the benefits of social media and protect oneself from the associated risks. The emotions that arise through use must also be functionally regulated. |
Opportunities of Social Media for Prevention and Health Promotion
Digital life skills offer a way to empower children and adolescents for competent use of social media. At the same time, these skills are relevant for addressing traditional lifestyle risks and developmental tasks. The fact that social media is a part of young people’s daily lives can even be advantageous for prevention and health-related purposes: Social media can serve as an effective medium for behavior change interventions by leveraging its interactive features, such as content sharing, quizzes, and social support, to implement behavior change techniques in engaging and accessible ways (Moorhead et al., 2013; Simeon et al., 2020). Platforms like Instagram and YouTube enable the dissemination of information, self-monitoring, and social processes that promote behavior change while catering to specific target group preferences (Vogels et al., 2022; Yardley et al., 2016). The selection of suitable applications and features must be guided by evidence-based strategies, target audience habits, and current platform functionalities to optimize engagement and impact (Arigo et al., 2018; Elaheebocus et al., 2018). In doing so, social media interventions can provide an effective alternative to conventional approaches by overcoming common barriers such as lack of health insurance and long wait times (Plaisime et al., 2020; Robards et al., 2019). Additionally, social media is very cost-effective and widely accessible, making it usable regardless of social or demographic factors (Moorhead et al., 2013). Digital platforms also offer flexible and continuous support, and they can be integrated into daily routines, increasing participant engagement and reducing dropout rates (Welch et al., 2016). In this way, interventions delivered through social media can promote physical, sexual, and mental health, encourage responsible use of alcohol, drugs, and the internet, and support preventive measures (Guse et al., 2012; Kruzan et al., 2022; Laranjo et al., 2014; Yonker et al., 2015).
When it comes to adolescents, research suggests that social media has the potential to profoundly reach young people and positively influence their health behaviors by providing information, motivation, and social support, while addressing them in their daily routines (Dudley et al., 2018; Gudka et al., 2021). However, findings on using social media for health and skill building among adolescents are very limited and inconsistent. Many studies focus on the digital footprints generated by social media use, which can provide valuable insights into people's mental states (Sultan et al., 2023). Some approaches successfully leverage apps to develop life skills and promote health (Gabrielli et al., 2020; Lampert, 2018; Paz Castro et al., 2022); however, the integration of life skills with social media platforms remains largely unexplored. In contrast, current discussions around the use of social media are often dominated by practical and ethical challenges, while insufficient attention is given to establishing clear theoretical and empirical links between social media and proven behavior change techniques (Martin et al., 2020; Plaisime et al., 2020). The challenge, therefore, lies in developing evidence-based preventive measures that respond to young people’s preferences while meeting scientific standards.
Promoting Equality Through the Use of Social Media
Social media also presents both a challenge and an opportunity in terms of equality: While the internet makes information easily accessible, social inequality now results from the level of competence with which the internet in general and social media in particular are consumed and received (so-called digital divide) (Bittlingmayer et al., 2020; Initiative D21, 2021). Children from socially disadvantaged backgrounds are more likely to use social media both intensively and maladaptively, which increases their risk for psychosocial problems (Chung & Lee, 2019; DAK, 2020). Furthermore, socioeconomic inequality exacerbates health problems among many adolescents, as they often face more health issues while having less access to healthcare services (Quon & McGrath, 2014; Reiss et al., 2019). Moreover, in traditional life skills interventions, parental education levels and the social status of learners significantly influence the success of such interventions (Bittlingmayer & Hurrelmann, 2006). Given the high popularity and intensity of social media use among socially disadvantaged youth, and the corresponding high need for competencies for functional use – along with the low barriers to access – social media-mediated interventions could help improve equality of opportunity. Reaching these at-risk young people is particularly important and can be achieved through targeted advertisements on social media platforms or by collaborating with relevant schools and educational programs.
Conclusion
In conclusion, social media, as an integral part of daily life, especially for children and adolescents, presents both challenges and opportunities for prevention and health promotion. Young people are exposed to numerous risks on social media, but they also spend considerable time there and can benefit from its potential. Therefore, social media offers a promising approach to reach adolescents with prevention and health promotion measures, providing versatile, low-threshold, and cost-effective interventions. In this context, digital life skills represent a concept that focuses on the commonalities between analog and digital challenges in the human experience. It also takes into account the developmentally sensitive phases of target groups and the need for age-appropriate strategies to achieve skill building. To foster the development of functional social media use, the risks associated with social media should be integrated into the development of interventions and considered in their implementation.
While the potential of using social media for health promotion is promising, this approach is not intended to replace existing methods. Instead, it can be seen as a complement in the field of prevention. Particularly in low-threshold, everyday interventions, social media offers possibilities that go beyond traditional methods, which can significantly enhance universal prevention strategies. However, this theoretical position requires empirical validation and refinement. Research on social media-mediated prevention – particularly among adolescents – is scarce and therefore urgently needed. Interventions should be designed with the target group in mind, leveraging insights into existing platforms and features to align with their preferences and address their specific needs. Innovative approaches are also needed to motivate young people to participate in these interventions.
Acknowledgements
We thank the Heinrich-Boell-Foundation for supporting our research through a research stipend for the first author.
Funding
Open Access funding enabled and organized by Projekt DEAL.
Declarations
Conflict of Interest
The authors declare no competing interests. The corresponding author is an associate editor at the Journal of Prevention. This is a debate paper that does not involve human or animal participants, their primary data or biological material and is thus exempt from ethical approval. The study did not receive any external funding.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- Allcott, H., Braghieri, L., Eichmeyer, S., & Gentzkow, M. (2020). The welfare effects of social media. American Economic Review,110(3), 629–676. 10.1257/aer.20190658 [Google Scholar]
- Arigo, D., Pagoto, S., Carter-Harris, L., Lillie, S. E., & Nebeker, C. (2018). Using social media for health research: Methodological and ethical considerations for recruitment and intervention delivery. Digital Health. 10.1177/2055207618771757 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Arora, A., Nakov, P., Hardalov, M., Sarwar, S. M., Nayak, V., Dinkov, Y., Zlatkova, D., Dent, K., Bhatawdekar, A., Bouchard, G., & Augenstein, I. (2023). Detecting harmful content on online platforms: What platforms need vs. where research efforts go. ACM Computing Surveys,56(3), 1–17. 10.1145/3603399 [Google Scholar]
- Aufenanger, S. (2002). Medienkompetenz. In N. Groeben & B. Hurrelmann (Eds.), Medienkompetenz: Voraussetzungen, Dimensionen, Funktionen (p. 478). Juventa. 10.1007/s11616-002-0153-3
- Baumeister, R. F., & Leary, M. R. (1995). The need to belong: desire for interpersonal attachments as a fundamental human motivation. Psych Bull,117(3), 497–529. 10.1037/0033-2909.117.3.497 [PubMed] [Google Scholar]
- Beyens, I., Frison, E., & Eggermont, S. (2016). “I don’t want to miss a thing”: Adolescents’ fear of missing out and its relationship to adolescents’ social needs, Facebook use, and Facebook related stress. Computers in Human Behavior,1(64), 1–8. [Google Scholar]
- Bittlingmayer, UH., & Hurrelmann, K. (2006). Präventionsstrategien für sozial Benachteiligte: Das Beispiel der schulischen Suchtprävention und Skillförderung. In W. Kirch & B. Badura (Eds.), Prävention (pp. 173–192). Springer. 10.1007/3-540-28954-2_11
- Bittlingmayer, UH., Dadaczynski, K., Sahrai, D., van den Broucke, S., & Okan, O. (2020). Digital health literacy—conceptual contextualization, measurement, and promotion. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz,63(2), 176–184. 10.1007/s00103-019-03087-6 [DOI] [PubMed] [Google Scholar]
- Blanchard, L., Conway-Moore, K., Aguiar, A., Önal, F., Rutter, H., Helleve, A., Nwosu, E., Falcone, J., Savona, N., Boyland, E., & Knai, C. (2023). Associations between social media, adolescent mental health, and diet: A systematic review. Obesity Reviews,24(S2), e13631. 10.1111/obr.13631 [DOI] [PubMed] [Google Scholar]
- Bohl, C., Karnaki, P., Cheli, S., Fornes Romero, G., Glavak Tkalić, R., Papadopoulos, E., Schaefer, M., & Berth, H. (2022). Psychological stress of children and adolescents during the corona pandemic: Literature review and project outline. Prävention und Gesundheitsförderung,18(2), 182–188. 10.1007/s11553-022-00946-0 [Google Scholar]
- Botvin, G. J. (1983). Prevention of adolescent substance abuse through the development of personal and social competence. NIDA Research Monograph,47, 115–140. [PubMed] [Google Scholar]
- Brandhofer, G., & Wiesner, C. (2018). Medienbildung im kontext der digitalisierung: Ein integratives modell für digitale kompetenzen. Online Journal for Research and Education,10, 1–15. [Google Scholar]
- Cheng, C., Lau, Y.-C., Chan, L., & Luk, J. W. (2021). Prevalence of social media addiction across 32 nations: Meta-analysis with subgroup analysis of classification schemes and cultural values. Addictive Behaviors,117, 106845. 10.1016/j.addbeh.2021.106845 [DOI] [PubMed] [Google Scholar]
- Chung, S., & Lee, J. (2019). Personal factors, internet characteristics and environmental factors contributing to adolescent internet addiction. Journal of Environmental Research and Public Health,16(23), 4635. 10.3390/ijerph16234635 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ciarrochi, J., Quartly-Scott, G., Deane, F., & Heaven, P. (2003). Relations between social and emotional competence and mental health: A construct validation study. Personality and Individual Differences,35, 1947–1963. 10.1016/S0191-8869(03)00043-6 [Google Scholar]
- Crone, E. A., & Konijn, E. A. (2018). Media use and brain development during adolescence. Nature Communications,9(1), 588. 10.1038/s41467-018-03126-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cyberbullying Research Center. (2024). 2023 Cyberbullying Data. Cyberbullying Research Center. https://cyberbullying.org/2023-cyberbullying-data
- DAK. (2020). Mediensucht 2020 – Gaming und Social Media in Zeiten von Corona. DAK-Längsschnittstudie: Befragung von Kindern, Jugendlichen (12 – 17 Jahre) und deren Eltern. DAK Forschung. https://www.dak.de/dak/gesundheit/dak-studie-gaming-social-media-und-corona-2295548.html#/
- Dudley, D. A., Van Bergen, P., McMaugh, A., & Mackenzie, E. (2018). The role of social media in developing young people’s health literacy. In V. Goodyear & K. Armour (Eds.), Young People, Social Media and Health (pp. 147–161). 10.4324/9781351026987-13
- Dunlop, S., Freeman, B., & Jones, S. C. (2016). Marketing to youth in the digital age: The promotion of unhealthy products and health promoting behaviours on social media. Media and Communication,4(3), 35–49. 10.17645/mac.v4i3.522 [Google Scholar]
- Elaheebocus, S. M. R. A., Weal, M., Morrison, L., & Yardley, L. (2018). Peer-based social media features in behavior change interventions: Systematic review. Journal of Medical Internet Research,20(2), 1–20. 10.2196/jmir.8342 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Enock, F., Johansson, P., Bright, J., & Margetts, H. (2023). Tracking experiences of online harms and attitudes towards online safety interventions Findings from a large-scale, nationally representative survey of the British public preferred social media platform and government actions for tackling. https://www.turing.ac.uk/node/1794
- Festl, R. (2021). Social media literacy & adolescent social online behavior in Germany. Journal of Children and Media,15(2), 249–271. 10.1080/17482798.2020.1770110 [Google Scholar]
- Gabrielli, S., Rizzi, S., Carbone, S., & Donisi, V. (2020). A chatbot-based coaching intervention for adolescents to promote life skills: Pilot study. JMIR Human Factors,7(1), e16762. 10.2196/16762 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gaffney, H., Farrington, D. P., & Ttofi, M. M. (2019). Examining the effectiveness of school-bullying intervention programs globally: A Meta-analysis. International Journal of Bullying Prevention,1(1), 14–31. 10.1007/s42380-019-0007-4 [Google Scholar]
- Gudka, M., Gardiner, K. L. K., & Lomas, T. (2021). Towards a framework for flourishing through social media: A systematic review of 118 research studies. Journal of Positive Psychology,18(1), 86–105. 10.1080/17439760.2021.1991447 [Google Scholar]
- Guse, K., Levine, D., Martins, S., Lira, A., Gaarde, J., Westmorland, W., & Gilliam, M. (2012). Interventions using new digital media to improve adolescent sexual health: A systematic review. Journal of Adolescent Health,51(6), 535–543. 10.1016/j.jadohealth.2012.03.014 [DOI] [PubMed] [Google Scholar]
- Hage, S. M., Romano, J. L., Conyne, R. K., Kenny, M., Matthews, C., Schwartz, J. P., & Waldo, M. (2007). Best practice guidelines on prevention practice, research, training, and social advocacy for psychologists. The Counseling Psychologist,35(4), 493–566. 10.1177/0011000006291411 [Google Scholar]
- Huang, C. (2022). A meta-analysis of the problematic social media use and mental health. International Journal of Social Psychiatry,68(1), 12–33. 10.1177/0020764020978434 [DOI] [PubMed] [Google Scholar]
- Initiative D21. (2021). Digital Skills Gap Index 2021. iTM. https://initiatived21.de/d21skillsgap/
- Jones, D. E., Greenberg, M., & Crowley, M. (2015). Early social-emotional functioning and public health: The relationship between kindergarten social competence and future wellness. American Journal of Public Health,105(11), 2283–2290. 10.2105/AJPH.2015.302630 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Korda, H., & Itani, Z. (2013). Harnessing social media for health promotion and behavior change. Health Promotion Practice,14(1), 15–23. 10.1177/1524839911405850 [DOI] [PubMed] [Google Scholar]
- Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014). Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychological Bulletin,140(4), 1073–1137. 10.1037/a0035618 [DOI] [PubMed] [Google Scholar]
- Kruzan, K. P., Williams, K. D. A., Meyerhoff, J., Yoo, D. W., O’Dwyer, L. C., De Choudhury, M., & Mohr, D. C. (2022). Social media-based interventions for adolescent and young adult mental health: A scoping review. Internet Interventions,30, 100578. 10.1016/j.invent.2022.100578 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lampert, C. (2018). Health programs for children and adolescents in an app format. Prävention und Gesundheitsförderung,13(4), 280–284. 10.1007/s11553-018-0665-y [Google Scholar]
- Laranjo, L., Arguel, A., Neves, A. L., Gallagher, A. M., Kaplan, R., Mortimer, N., Mendes, G. A., & Lau, A. Y. S. (2014). The influence of social networking sites on health behavior change: A systematic review and meta-analysis. Journal of the American Medical Informatics Association,22(1), 243–256. 10.1136/amiajnl-2014-002841 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Leo, K., Arnold, J., Kewitz, S., & Lindenberg, K. (2023). Addictive social media use and depressive symptoms in adolescents. Kindheit und Entwicklung,32(4), 228–240. 10.1026/0942-5403/a000427 [Google Scholar]
- Martin, J., Mcbride, T., Masterman, T., Pote, I., Mokhtar, N., Oprea, E., & Sorgenfrei, M. (2020). Covid-19 and early intervention: Evidence, challenges and risks relating to virtual and digital delivery. https://www.eif.org.uk/report/covid-19-and-early-
- Moorhead, S. A., Hazlett, D. E., Harrison, L., Carroll, J. K., Irwin, A., & Hoving, C. (2013b). A new dimension of health care: Systematic review of the uses, benefits, and limitations of social media for health communication. Journal of Medical Internet Research,15(4), e85. 10.2196/jmir.1933 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nesi, J., Choukas-Bradley, S., & Prinstein, M. J. (2018). Transformation of adolescent peer relations in the social media context: Part 1—A theoretical framework and application to dyadic peer relationships. Clinical Child and Family Psychology Review,21(3), 267–294. 10.1007/s10567-018-0261-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ong, E., & Lee, P. (2022). Cross-cultural analysis of social media addiction likelihood and social media designs in the US and China. Journal of Student Research. 10.47611/jsrhs.v11i3.3743 [Google Scholar]
- Ostendorf, S., Wegmann, E., & Brand, M. (2020). Problematic social-networks-use in German children and adolescents—the interaction of need to belong, online self-regulative competences, and age. International Journal of Environmental Research and Public Health,17(7), 2518. 10.3390/ijerph17072518 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Paz Castro, R., Haug, S., Wenger, A., & Schaub, M. P. (2022). Longer-term efficacy of a digital life-skills training for substance use prevention. American Journal of Preventive Medicine,63(6), 944–953. 10.1016/j.amepre.2022.06.017 [DOI] [PubMed] [Google Scholar]
- Plaisime, M., Robertson-James, C., Mejia, L., Núñez, A., Wolf, J., & Reels, S. (2020). Social media and teens: A needs assessment exploring the potential role of social media in promoting health. Social Media and Society. 10.1177/2056305119886025 [Google Scholar]
- Prabha, S., Joans, A., & Sheila, R. M. (2025). The influence of social media algorithms on consumer buying behaviour. Communications on Applied Nonlinear Analysis, 32(3S). https://internationalpubls.com
- Quon, E. C., & McGrath, J. J. (2014). Subjective socioeconomic status and adolescent health: A meta-analysis. Health Psychology,33(5), 433–447. 10.1037/a0033716 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rafla, M., Carson, N. J., & DeJong, S. M. (2014). Adolescents and the internet: what mental health clinicians need to know. Current Psychiatry Reports,16(9), 472. 10.1007/s11920-014-0472-x [DOI] [PubMed] [Google Scholar]
- Reiss, F., Meyrose, A. K., Otto, C., Lampert, T., Klasen, F., & Ravens-Sieberer, U. (2019). Socioeconomic status, stressful life situations and mental health problems in children and adolescents: Results of the German BELLA cohort-study. PLoS ONE,14(3), 1–16. 10.1371/journal.pone.0213700 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Robards, F., Kang, M., Steinbeck, K., Hawke, C., Jan, S., Sanci, L., Liew, Y. Y., Kong, M., & Usherwood, T. (2019). Health care equity and access for marginalised young people: A longitudinal qualitative study exploring health system navigation in Australia. International Journal for Equity in Health,18(1), 41. 10.1186/s12939-019-0941-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shannon, H., Bush, K., Villeneuve, P. J., Hellemans, K. G. C., & Guimond, S. (2022). Problematic social media use in adolescents and young adults: Systematic review and meta-analysis. JMIR Mental Health,9(4), e33450. 10.2196/33450 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Simeon, R., Dewidar, O., Trawin, J., Duench, S., Manson, H., Pardo Pardo, J., Petkovic, J., Hatcher Roberts, J., Tugwell, P., Yoganathan, M., Presseau, J., & Welch, V. (2020). Behavior change techniques included in reports of social media interventions for promoting health behaviors in adults: Content analysis within a systematic review. Journal of Medical Internet Research,22(6), e16002. 10.2196/16002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Statista. (2024). Global Digital Population as of July 2024. Statista. https://www.statista.com/statistics/617136/ digital- population- worldwide/
- Steffen, A., Akmatov, M. K., Holstiege, J., & Bätzing, J. (2019). Diagnoseprävalenz psychischer Störungen bei Kindern und Jugendlichen in Deutschland: eine Analyse bundesweiter vertragsärztlicher Abrechnungsdaten der Jahre 2009 bis 2017. Zentralinstitut für die kassenärztliche Versorgung in Deutschland, 18/07. 10.20364/VA-18.07
- Sultan, M., Scholz, C., & van den Bos, W. (2023). Leaving traces behind: Using social media digital trace data to study adolescent wellbeing. Computers in Human Behavior Reports,10, 100281. 10.1016/j.chbr.2023.100281 [Google Scholar]
- Vannucci, A., Simpson, E. G., Gagnon, S., & Ohannessian, C. M. (2020). Social media use and risky behaviors in adolescents: A meta-analysis. Journal of Adolescence,79, 258–274. 10.1016/j.adolescence.2020.01.014 [DOI] [PubMed] [Google Scholar]
- Vogels, E. A., Gelles-Watnick, R., & Massarat, N. (2022, August). Teens, social media and technology 2022. Pew Research Center. https://www.pewresearch.org/internet/2022/08/10/teens-social-media-and-technology-2022/
- Wartberg, L., Thomasius, R., & Paschke, K. (2021). The relevance of emotion regulation, procrastination, and perceived stress for problematic social media use in a representative sample of children and adolescents. Computers in Human Behavior,121, 106788. 10.1016/j.chb.2021.106788 [Google Scholar]
- Welch, V., Petkovic, J., Pardo Pardo, J., Rader, T., & Tugwell, P. (2016). Interactive social media interventions to promote health equity: An overview of reviews. Health Promotion and Chronic Disease Prevention in Canada,36(4), 63–75. 10.24095/hpcdp.36.4.01 [DOI] [PMC free article] [PubMed] [Google Scholar]
- WHO. (1994). Programme on Mental Health: Life Skills in Schools. WHO World Health Organization. https://apps.who.int/iris/handle/10665/63552
- WHO. (1999). Partners in Life Skills Education - Conclusions from a United Nations Inter-Agency Meeting. In WHO/MNH/MHP/99.2. Department of Mental Health World Health Organization Geneva. https://pdf4pro.com/view/partners-in-life-skills-education-who-world-287ba2.html
- WHO. (2001). The second decade: Improving adolescent health and development. College & Research Libraries. 10.5860/crl_09_04_295
- Yardley, L., Choudhury, T., Patrick, K., & Michie, S. (2016). Current issues and future directions for research into digital behavior change interventions. American Journal of Preventive Medicine,51(5), 814–815. 10.1016/j.amepre.2016.07.019 [DOI] [PubMed] [Google Scholar]
- Yonker, L. M., Zan, S., Scirica, C. V., Jethwani, K., & Kinane, T. B. (2015). “Friending” teens: Systematic review of social media in adolescent and young adult health care. Journal of Medical Internet Research,17(1), e4. 10.2196/jmir.3692 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. Social Forces,98(2), 1–4. 10.1093/sf/soz037 [Google Scholar]
