Maintaining Mental Health in the Age of Technology: Challenges no 1 and Practical Advice

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  • Oct 11, 2024

Summary

  • The article discusses the challenges of maintaining mental health in the age of technology
  • It highlights the negative impact of excessive screen time and social media on mental well-being
  • The article suggests practical advice for maintaining mental health, such as setting boundaries with technology, practicing digital detoxes, and engaging in offline activities
  • It emphasizes the importance of self-care, mindfulness, and seeking professional help when needed
  • The article concludes by emphasizing the need for a balanced approach to technology use and mental health maintenance.

I. Introduction – Maintaining Mental Health in the Age of Technology: Challenges and Practical Advice

In today’s digital era, technology has brought numerous benefits and conveniences. However, it has also introduced unique challenges to our mental well-being. This section explores the challenges posed by technology and provides practical advice on maintaining optimal mental health in this digital age.

Maintaining Mental Health in the Age of Technology: Challenges and Practical Advice
Maintaining Mental Health in the Age of Technology: Challenges and Practical Advice

A. The Impact of Technology on Mental Health

  1. Increased Screen Time and its Consequences:
    Excessive screen time on smartphones, tablets, and computers can lead to higher levels of stress, anxiety, and depression. It is important to address the impact of prolonged screen exposure on our mental well-being.
  2. Social Media and its Influence:
    Constant exposure to carefully curated online personas can result in feelings of inadequacy, comparison, and low self-esteem. Understanding the negative impact of social media on mental health is essential for maintaining a healthy relationship with these platforms.

B. Practical Strategies for Maintaining Mental Health

  1. Establishing Digital Boundaries:
    Setting clear boundaries around technology usage helps preserve mental well-being. Allocating specific time slots for technology use and designating device-free zones, such as the bedroom or dinner table, can create a healthy balance between online and offline activities.
  2. Practicing Mindful Technology Use:
    Being fully present and aware of our interactions with technology can reduce stress and improve overall mental health. Taking regular breaks, practicing deep breathing exercises, and engaging in self-reflection contribute to a more mindful approach to technology.
  3. Cultivating Offline Connections:
    Prioritizing and nurturing offline relationships through face-to-face interactions, hobbies, and quality time with loved ones provides a sense of fulfillment and better mental health.
  4. Engaging in Digital Detoxes:
    Periodically disconnecting from technology by taking breaks from social media, turning off notifications, and engaging in screen-free activities can reduce stress, improve focus, and promote overall well-being.

C. The Role of Healthcare Professionals

  1. Raising Awareness and Education:
    Healthcare professionals play a crucial role in educating patients and the general public about the impact of technology on mental health. By raising awareness about the potential risks and benefits of technology use, individuals can make informed decisions and adopt healthy technology habits.
  2. Integrating Technology in Mental Health Care:
    Technology offers innovative solutions for mental health care. Healthcare professionals can leverage digital tools, such as mental health apps and telemedicine, to enhance accessibility and provide support to individuals in need. Embracing technology responsibly bridges the gap between mental health services and those who require them.

By understanding the impact of technology on our well-being and implementing practical strategies, we can navigate this digital landscape while preserving our mental health. Healthcare professionals have a vital role in raising awareness, educating individuals, and integrating technology in mental health care to ensure the well-being of individuals in the age of technology.

II. Challenges of Maintaining Mental Health in the Age of Technology

A. Social Media

Social media platforms have become an integral part of our daily lives, offering benefits such as connecting with friends and family, sharing experiences, and accessing information. However, excessive use of social media can lead to mental health challenges.

  1. Comparison and self-esteem issues: Constant exposure to carefully curated highlight reels of others’ lives on social media can make you feel inadequate and lower your self-esteem. Research has shown a strong link between excessive social media use and negative self-perception, anxiety, and depression.
  2. Fear of missing out (FOMO): Social media can create a fear of missing out on social events, experiences, or opportunities. This constant exposure to others’ activities can lead to feelings of isolation and anxiety. Studies have found that frequent experiences of FOMO are associated with symptoms of depression and social anxiety.
  3. Cyberbullying: Social media platforms unfortunately provide a space for cyberbullying. The anonymity and wide reach of social media can embolden individuals to engage in hurtful behavior, causing severe psychological distress for the victims. Research has shown a strong association between cyberbullying and increased rates of depression, anxiety, and even suicidal thoughts.

B. Cyberbullying

Cyberbullying, a form of harassment or intimidation using electronic means, has become a significant challenge in the age of technology. It can occur through various digital platforms, including social media, instant messaging, online forums, and gaming communities.

  1. Impact on mental health: Victims of cyberbullying often experience negative emotional and psychological consequences. These may include increased stress, anxiety, depression, and even post-traumatic stress disorder (PTSD). Continuous exposure to online harassment can lead to feelings of helplessness, social withdrawal, and a decline in academic or work performance.
  2. Long-lasting effects: Unlike traditional bullying, cyberbullying can persist beyond the immediate incident due to the permanence of digital content. The victim may repeatedly encounter hurtful messages or images, leading to prolonged psychological distress. Additionally, the widespread nature of cyberbullying can make it difficult for victims to escape the harassment, as it can follow them across different online platforms.
  3. Prevention and intervention: Addressing cyberbullying requires a multi-faceted approach involving individuals, families, schools, and online platforms. Education and awareness programs can help individuals recognize and report cyberbullying incidents. Schools should implement policies and procedures to effectively address cyberbullying, providing support to victims and consequences for perpetrators. Online platforms must also take responsibility by implementing robust reporting systems and promptly addressing instances of cyberbullying.

C. Screen Time

Excessive screen time, including the use of smartphones, tablets, computers, and television, has become a prevalent challenge in maintaining mental health. While technology has brought numerous benefits, prolonged and unregulated screen time can have detrimental effects on mental well-being.

  1. Sleep disturbances: The blue light emitted by screens can disrupt the natural sleep-wake cycle, making it difficult to fall asleep and obtain quality sleep. Sleep deprivation can contribute to mood disorders, impaired cognitive function, and increased stress levels. It is crucial to establish healthy screen time boundaries, especially before bedtime, to promote adequate sleep hygiene.
  2. Sedentary lifestyle and physical health: Excessive screen time often leads to a sedentary lifestyle, reducing physical activity levels and increasing the risk of obesity and associated health conditions. Regular physical activity is essential for maintaining mental well-being, as it releases endorphins, improves mood, and reduces stress. Encouraging individuals, especially children and adolescents, to engage in outdoor activities and limit screen time is crucial for their overall health.
  3. Social isolation and decreased interpersonal skills: Excessive screen time can lead to social isolation, as individuals spend more time interacting with screens than with real-life social connections. This can negatively impact interpersonal skills, such as communication, empathy, and conflict resolution. Encouraging face-to-face interactions, participating in group activities, and setting screen-free zones or times can help mitigate the negative effects of excessive screen time.

III. Practical Advice for Maintaining Mental Health in the Age of Technology

A. Establish Boundaries:

Establishing boundaries is crucial in protecting your mental health in today’s digital age. Here are some practical steps to help you establish healthy boundaries with technology:

  1. Limit Screen Time: Set specific time limits for using electronic devices, including smartphones, tablets, and computers. Excessive screen time can lead to increased stress, anxiety, and sleep disturbances. Aim for a balanced approach by allocating time for both online and offline activities.
  2. Create Tech-Free Zones: Designate certain areas in your home or workplace as tech-free zones. For example, avoid using electronic devices in the bedroom to promote better sleep quality. Establishing boundaries between technology and personal spaces can help create a healthier relationship with digital devices.
  3. Practice Digital Detox: Take regular breaks from technology to recharge and reconnect with the real world. Consider scheduling tech-free days or weekends, during which you engage in activities that promote relaxation, such as reading, exercising, or spending time in nature. Disconnecting from technology periodically can reduce stress levels and improve overall well-being.
  4. Use Productivity Apps: Utilize apps that help you manage and limit your screen time. These apps can track your usage, set reminders, and even block access to certain apps or websites during specific times. By using such tools, you can regain control over your technology usage and establish healthier boundaries.

B. Connect with Others:

While technology can sometimes isolate us, it also provides opportunities for social connection. Here are some ways to leverage technology to foster meaningful connections:

  1. Prioritize Quality Interactions: Instead of passively scrolling through social media feeds, focus on engaging in meaningful conversations and interactions. Participate in online communities or forums related to your interests or hobbies. Engaging with like-minded individuals can provide a sense of belonging and support.
  2. Video Calls and Virtual Gatherings: Use video call platforms to connect with friends, family, and colleagues. Organize virtual gatherings, such as game nights, book clubs, or even virtual workout sessions. These interactions can help combat feelings of loneliness and strengthen social connections.
  3. Online Support Groups: Seek out online support groups or forums for individuals facing similar challenges or mental health concerns. These platforms can provide a safe space to share experiences, receive support, and access valuable resources. Remember to prioritize reputable and moderated platforms to ensure a positive and supportive environment.
  4. Practice Digital Empathy: When engaging in online conversations or social media interactions, be mindful of your tone and language. Practice empathy and kindness, as digital communication can sometimes lead to misunderstandings or conflicts. By fostering a positive online environment, you contribute to a healthier digital community.

C. Develop Healthy Habits:

Developing healthy habits in the age of technology is essential for maintaining good mental health. Consider incorporating the following practices into your daily routine:

  1. Mindful Technology Use: Practice mindfulness when using technology by being fully present and aware of your actions. Avoid mindlessly scrolling or multitasking while using electronic devices. Engage in activities intentionally and with purpose, allowing yourself to fully enjoy and appreciate the present moment.
  2. Regular Physical Exercise: Engaging in regular physical exercise has numerous mental health benefits. Incorporate physical activities into your daily routine, such as walking, jogging, or practicing yoga. Exercise helps reduce stress, improve mood, and enhance overall well-being.
  3. Prioritize Self-Care: Set aside time for self-care activities that promote relaxation and rejuvenation. This can include activities such as reading, taking baths, practicing mindfulness or meditation, or engaging in hobbies that bring you joy. Self-care allows you to recharge and take care of your mental and emotional well-being.
  4. Maintain Healthy Sleep Habits: Establish a consistent sleep routine and prioritize getting enough quality sleep. Avoid using electronic devices close to bedtime, as the blue light emitted by screens can interfere with sleep patterns. Create a calming bedtime routine that promotes relaxation, such as reading a book or practicing deep breathing exercises.

By implementing these practical strategies and developing healthy habits, you can maintain good mental health in the age of technology. Remember, it is essential to find a balance between the benefits of technology and the need for personal well-being.

IV. Conclusion – Maintaining Mental Health in the Age of Technology: Challenges and Practical Advice

In the age of technology, maintaining mental health can be complex. Digital devices and constant connectivity bring benefits but also challenges. Let’s explore these challenges and offer practical advice to safeguard your mental health.

1. Understanding the Challenges:

  • Information Overload: Excessive exposure to news, social media, and online content can cause anxiety and stress. Recognize the impact of excessive information consumption on mental well-being.
  • Social Media and Comparison: Social media can contribute to feelings of inadequacy and low self-esteem. Comparing ourselves to others’ carefully curated lives can distort reality.
  • Digital Detachment: Constant connectivity makes it challenging to disconnect and find moments of solitude. This lack of detachment can hinder relaxation, sleep quality, and overall mental well-being.

2. Evidence-Based Insights:

  • Mindfulness and Digital Well-being: Practicing mindfulness, like meditation or deep breathing exercises, can reduce stress associated with excessive technology use.
  • Setting Boundaries: Establish clear boundaries around technology use. Designate specific times for device-free activities to create a healthier balance between the digital world and real-life interactions.
  • Curating Digital Content: Be mindful of the content you consume online. Include positive, inspiring, and informative content in your social media feeds to counteract the negative effects of comparison.

3. Practical Advice:

  • Digital Detox: Regularly unplug from technology for mental breaks. Schedule a digital detox weekend or set aside specific hours each day for screen-free activities. Engage in hobbies, spend time in nature, or connect face-to-face with loved ones.
  • Seek Support: If struggling with maintaining mental health in the age of technology, don’t hesitate to seek professional support. Mental health professionals can provide guidance, coping strategies, and personalized recommendations.
  • Practice Self-Reflection: Regularly reflect on your technology use’s impact on your mental health. Assess your relationship with technology and make necessary adjustments to promote a healthier balance.

By understanding these challenges, incorporating evidence-based insights, and implementing practical advice, you can maintain your mental well-being in the digital age. Remember, it is within your power to harness the benefits of technology while safeguarding your mental health.

Frequently Asked Questions

What are the challenges of technology in mental health?

The challenges of technology in mental health include privacy concerns, limited access for certain populations, potential for misdiagnosis or reliance on technology alone, and the need for ongoing research and regulation to ensure effectiveness and safety.

How can we stay mentally healthy with technology?

To stay mentally healthy with technology, it is important to establish a healthy balance and set boundaries. Here are a few tips:

1. Limit screen time: Set specific time limits for using technology and stick to them. Take regular breaks and engage in other activities that promote mental well-being.

2. Practice digital detox: Take occasional breaks from technology, such as weekends or vacations, to disconnect and recharge.

3. Prioritize real-life connections: Make an effort to maintain and strengthen relationships offline. Spend quality time with family and friends, engage in face-to-face conversations, and participate in social activities.

4. Engage in physical activity: Regular exercise is essential for mental health. Incorporate physical activities into your routine, such as walking, jogging, or yoga, to reduce the negative effects of excessive screen time.

5. Practice mindfulness: Be aware of your technology use and its impact on your mental well-being. Take breaks to practice mindfulness techniques, such as deep breathing or meditation, to reduce stress and improve focus.

6. Set boundaries: Establish clear boundaries for technology use, such as not using devices during meals or before bedtime. Create tech-free zones in your home, like the bedroom, to promote better sleep and relaxation.

7. Seek support: If you find yourself struggling with technology addiction or its impact on your mental health, don’t hesitate to

How to maintain mental health in digital era?

To maintain mental health in the digital era, it is important to establish a healthy balance between technology use and other aspects of life. Here are some tips:

1. Limit screen time: Set boundaries on the amount of time you spend on digital devices, including smartphones, computers, and tablets.

2. Take regular breaks: Engage in activities that do not involve screens, such as reading a book, going for a walk, or spending time with loved ones.

3. Practice digital detox: Take occasional breaks from social media and other online platforms to reduce stress and improve overall well-being.

4. Prioritize self-care: Engage in activities that promote relaxation and self-care, such as exercise, meditation, or hobbies that you enjoy.

5. Maintain social connections: Make an effort to connect with friends and family in person or through phone calls, rather than relying solely on social media for communication.

6. Set boundaries: Establish clear boundaries with technology, such as not using devices during meals or before bedtime.

7. Seek support: If you find yourself struggling with mental health issues related to the digital era, don’t hesitate to seek professional help from a therapist or counselor.

Remember, it’s important to find a balance between the benefits of technology and taking care of your mental well-being.

How do you maintain mental health as you age?

Maintaining mental health as you age involves several key strategies:

1. Stay physically active: Regular exercise helps improve mood, reduce stress, and enhance cognitive function.

2. Engage in social activities: Stay connected with friends, family, and community to combat loneliness and promote mental well-being.

3. Eat a balanced diet: A healthy diet rich in fruits, vegetables, whole grains, and lean proteins provides essential nutrients for brain health.

4. Get enough sleep: Aim for 7-8 hours of quality sleep each night to support cognitive function and emotional well-being.

5. Challenge your brain: Engage in activities that stimulate your mind, such as puzzles, reading, learning new skills, or playing musical instruments.

6. Manage stress: Practice stress-reducing techniques like deep breathing, meditation, or engaging in hobbies to maintain mental resilience.

7. Limit alcohol and avoid smoking: Excessive alcohol consumption and smoking can negatively impact mental health, so it’s best to moderate or avoid them.

8. Seek support: If you’re experiencing mental health concerns, don’t hesitate to reach out to a healthcare professional or counselor for guidance and support.

Remember, it’s important to prioritize self-care and seek help when needed to maintain good mental health as you age.

References

    1. nan, nan, nan, nan, nan, nan,
    1. Abdel-Baki, A., Lal, S., Charron, D.-C., Stip, E., & Kara, N. (2017). Understanding access and use of technology among youth with first-episode psychosis to inform the development of technology-enabled therapeutic interventions. Early Intervention in Psychiatry, 11(1), 72–76.

      PubMed

      Google Scholar

    2. Ahmed, Y. A., Ahmad, M. N., Ahmad, N., & Zakaria, N. H. (2019). Social media for knowledge-sharing: a systematic literature review. Telematics and Informatics, 37, 72–112.


      Google Scholar

    3. Alhajji, M., Bass, S., & Dai, T. (2019). Cyberbullying, mental health, and violence in adolescents and associations with sex and race: data from the 2015 youth risk behavior survey. Global Pediatric Health, 6, 2333794X19868887.

      PubMed
      PubMed Central

      Google Scholar

    4. Alvarez-Jimenez, M., Bendall, S., Lederman, R., Wadley, G., Chinnery, G., Vargas, S., Larkin, M., Killackey, E., McGorry, P., & Gleeson, J. F. (2013). On the HORYZON: moderated online social therapy for long-term recovery in first episode psychosis. Schizophrenia Research, 143(1), 143–149.

      PubMed

      Google Scholar

    5. Alvarez-Jimenez, M., Gleeson, J., Bendall, S., Penn, D., Yung, A., Ryan, R., et al. (2018). Enhancing social functioning in young people at ultra high risk (UHR) for psychosis: a pilot study of a novel strengths and mindfulness-based online social therapy. Schizophrenia Research, 202, 369–377.

      PubMed

      Google Scholar

    6. Alvarez-Jimenez, M., Bendall, S., Koval, P., Rice, S., Cagliarini, D., Valentine, L., et al. (2019). HORYZONS trial: protocol for a randomised controlled trial of a moderated online social therapy to maintain treatment effects from first-episode psychosis services. BMJ Open, 9(2), e024104.

      PubMed
      PubMed Central

      Google Scholar

    7. Andreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., & Pallesen, S. (2016). The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: a large-scale cross-sectional study. Psychology of Addictive Behaviors, 30(2), 252.


      Google Scholar

    8. Aschbrenner, K. A., Naslund, J. A., & Bartels, S. J. (2016a). A mixed methods study of peer-to-peer support in a group-based lifestyle intervention for adults with serious mental illness. Psychiatric Rehabilitation Journal, 39(4), 328–334.

      PubMed
      PubMed Central

      Google Scholar

    9. Aschbrenner, K. A., Naslund, J. A., Shevenell, M., Kinney, E., & Bartels, S. J. (2016b). A pilot study of a peer-group lifestyle intervention enhanced with mHealth technology and social media for adults with serious mental illness. The Journal of Nervous and Mental Disease, 204(6), 483–486.

      PubMed
      PubMed Central

      Google Scholar

    10. Aschbrenner, K. A., Naslund, J. A., Shevenell, M., Mueser, K. T., & Bartels, S. J. (2016c). Feasibility of behavioral weight loss treatment enhanced with peer support and mobile health technology for individuals with serious mental illness. Psychiatric Quarterly, 87(3), 401–415.

      PubMed

      Google Scholar

    11. Aschbrenner, K. A., Naslund, J. A., Gorin, A. A., Mueser, K. T., Scherer, E. A., Viron, M., et al. (2018a). Peer support and mobile health technology targeting obesity-related cardiovascular risk in young adults with serious mental illness: protocol for a randomized controlled trial. Contemporary Clinical Trials, 74, 97–106.

      PubMed
      PubMed Central

      Google Scholar

    12. Aschbrenner, K. A., Naslund, J. A., Grinley, T., Bienvenida, J. C. M., Bartels, S. J., & Brunette, M. (2018b). A survey of online and mobile technology use at peer support agencies. Psychiatric Quarterly, 1–10.

    13. Aschbrenner, K. A., Naslund, J. A., Tomlinson, E. F., Kinney, A., Pratt, S. I., & Brunette, M. F. (2019). Adolescents’ use of digital technologies and preferences for mobile health coaching in mental health settings. Frontiers in Public Health. 7, 178.

    14. Badcock, J. C., Shah, S., Mackinnon, A., Stain, H. J., Galletly, C., Jablensky, A., & Morgan, V. A. (2015). Loneliness in psychotic disorders and its association with cognitive function and symptom profile. Schizophrenia Research, 169(1–3), 268–273.

      PubMed

      Google Scholar

    15. Batterham, P. J., & Calear, A. J. (2017). Preferences for internet-based mental health interventions in an adult online sample: findings from ann online community survey. JMIR Mental Health, 4(2), e26.

      PubMed
      PubMed Central

      Google Scholar

    16. Bauer, R., Bauer, M., Spiessl, H., & Kagerbauer, T. (2013). Cyber-support: an analysis of online self-help forums (online self-help forums in bipolar disorder). Nordic Journal of Psychiatry, 67(3), 185–190.

      PubMed

      Google Scholar

    17. Berger, M., Wagner, T. H., & Baker, L. C. (2005). Internet use and stigmatized illness. Social Science & Medicine, 61(8), 1821–1827.


      Google Scholar

    18. Berry, N., Lobban, F., Belousov, M., Emsley, R., Nenadic, G., & Bucci, S. (2017). # WhyWeTweetMH: understanding why people use Twitter to discuss mental health problems. Journal of Medical Internet Research, 19(4), e107.

      PubMed
      PubMed Central

      Google Scholar

    19. Berry, N., Emsley, R., Lobban, F., & Bucci, S. (2018). Social media and its relationship with mood, self-esteem and paranoia in psychosis. Acta Psychiatrica Scandinavica, 138, 558–570.

      PubMed
      PubMed Central

      Google Scholar

    20. Best, P., Manktelow, R., & Taylor, B. (2014). Online communication, social media and adolescent wellbeing: a systematic narrative review. Children and Youth Services Review, 41, 27–36.


      Google Scholar

    21. Biagianti, B., Quraishi, S. H., & Schlosser, D. A. (2018). Potential benefits of incorporating peer-to-peer interactions into digital interventions for psychotic disorders: a systematic review. Psychiatric Services, 69(4), 377–388.

      PubMed

      Google Scholar

    22. Bidargaddi, N., Musiat, P., Makinen, V.-P., Ermes, M., Schrader, G., & Licinio, J. (2017). Digital footprints: facilitating large-scale environmental psychiatric research in naturalistic settings through data from everyday technologies. Molecular Psychiatry, 22(2), 164.

      PubMed

      Google Scholar

    23. Birnbaum, M. L., Ernala, S. K., Rizvi, A. F., De Choudhury, M., & Kane, J. M. (2017a). A collaborative approach to identifying social media markers of schizophrenia by employing machine learning and clinical appraisals. Journal of Medical Internet Research, 19(8), e289.

      PubMed
      PubMed Central

      Google Scholar

    24. Birnbaum, M. L., Rizvi, A. F., Correll, C. U., Kane, J. M., & Confino, J. (2017b). Role of social media and the Internet in pathways to care for adolescents and young adults with psychotic disorders and non-psychotic mood disorders. Early Intervention in Psychiatry, 11(4), 290–295.

      PubMed

      Google Scholar

    25. Booker, C. L., Kelly, Y. J., & Sacker, A. (2018). Gender differences in the associations between age trends of social media interaction and well-being among 10-15 year olds in the UK. BMC Public Health, 18(1), 321.

      PubMed
      PubMed Central

      Google Scholar

    26. Brunette, M., Achtyes, E., Pratt, S., Stilwell, K., Opperman, M., Guarino, S., & Kay-Lambkin, F. (2019). Use of smartphones, computers and social media among people with SMI: opportunity for intervention. Community Mental Health Journal, 1–6.

    27. Brusilovskiy, E., Townley, G., Snethen, G., & Salzer, M. S. (2016). Social media use, community participation and psychological well-being among individuals with serious mental illnesses. Computers in Human Behavior, 65, 232–240.


      Google Scholar

    28. Bucci, S., Schwannauer, M., & Berry, N. (2019). The digital revolution and its impact on mental health care. Psychology and Psychotherapy: Theory, Research and Practice, 92(2), 277–297.

    29. Chancellor, S., Birnbaum, M. L., Caine, E. D., Silenzio, V. M., & De Choudhury, M. (2019). A taxonomy of ethical tensions in inferring mental health states from social media. In Proceedings of the Conference on Fairness, Accountability, and Transparency, 79–88.

    30. Chang, H. J. (2009). Online supportive interactions: using a network approach to examine communication patterns within a psychosis social support group in Taiwan. Journal of the American Society for Information Science and Technology, 60(7), 1504–1517.


      Google Scholar

    31. Davidson, L., Chinman, M., Sells, D., & Rowe, M. (2006). Peer support among adults with serious mental illness: a report from the field. Schizophrenia Bulletin, 32(3), 443–450.

      PubMed
      PubMed Central

      Google Scholar

    32. De Choudhury, M., Gamon, M., & Counts, S. (2012). Happy, nervous or surprised? classification of human affective states in social media. Paper presented at the sixth international Association for Advancement of Artificial Intelligence (AAAI) Conference on Weblogs and Social Meedia, 435–438.

    33. De Choudhury, M., Gamon, M., Counts, S., & Horvitz, E. (2013). Predicting depression via social media. Paper presented at the seventh international Association for Advancement of Artificial Intelligence (AAAI) Conference on Weblogs and Social Media, 128–137.

    34. Docherty, N. M., Hawkins, K. A., Hoffman, R. E., Quinlan, D. M., Rakfeldt, J., & Sledge, W. H. (1996). Working memory, attention, and communication disturbances in schizophrenia. Journal of Abnormal Psychology, 105(2), 212–219.

      PubMed

      Google Scholar

    35. Ernala, S. K., Rizvi, A. F., Birnbaum, M. L., Kane, J. M., & De Choudhury, M. (2017). Linguistic markers indicating therapeutic outcomes of social media disclosures of schizophrenia. Proceedings of the ACM on Human-Computer Interaction, 1(1), 43.


      Google Scholar

    36. Feinstein, B. A., Hershenberg, R., Bhatia, V., Latack, J. A., Meuwly, N., & Davila, J. (2013). Negative social comparison on Facebook and depressive symptoms: rumination as a mechanism. Psychology of Popular Media Culture, 2(3), 161.


      Google Scholar

    37. Firth, J., Cotter, J., Torous, J., Bucci, S., Firth, J. A., & Yung, A. R. (2015). Mobile phone ownership and endorsement of “mHealth” among people with psychosis: a meta-analysis of cross-sectional studies. Schizophrenia Bulletin, 42(2), 448–455.

      PubMed
      PubMed Central

      Google Scholar

    38. Firth, J., Rosenbaum, S., Stubbs, B., Gorczynski, P., Yung, A. R., & Vancampfort, D. (2016). Motivating factors and barriers towards exercise in severe mental illness: a systematic review and meta-analysis. Psychological Medicine, 46(14), 2869–2881.

      PubMed
      PubMed Central

      Google Scholar

    39. Gay, K., Torous, J., Joseph, A., Pandya, A., & Duckworth, K. (2016). Digital technology use among individuals with schizophrenia: results of an online survey. JMIR Mental Health, 3(2), e15.

      PubMed
      PubMed Central

      Google Scholar

    40. Giacco, D., Palumbo, C., Strappelli, N., Catapano, F., & Priebe, S. (2016). Social contacts and loneliness in people with psychotic and mood disorders. Comprehensive Psychiatry, 66, 59–66.

      PubMed

      Google Scholar

    41. Gleeson, J., Lederman, R., Herrman, H., Koval, P., Eleftheriadis, D., Bendall, S., Cotton, S. M., & Alvarez-Jimenez, M. (2017). Moderated online social therapy for carers of young people recovering from first-episode psychosis: study protocol for a randomised controlled trial. Trials, 18(1), 27.

      PubMed
      PubMed Central

      Google Scholar

    42. Glick, G., Druss, B., Pina, J., Lally, C., & Conde, M. (2016). Use of mobile technology in a community mental health setting. Journal of Telemedicine and Telecare, 22(7), 430–435.

      PubMed

      Google Scholar

    43. Goodman, L. A., Thompson, K. M., Weinfurt, K., Corl, S., Acker, P., Mueser, K. T., & Rosenberg, S. D. (1999). Reliability of reports of violent victimization and posttraumatic stress disorder among men and women with serious mental illness. Journal of Traumatic Stress: Official Publication of the International Society for Traumatic Stress Studies, 12(4), 587–599.


      Google Scholar

    44. Gowen, K., Deschaine, M., Gruttadara, D., & Markey, D. (2012). Young adults with mental health conditions and social networking websites: seeking tools to build community. Psychiatric Rehabilitation Journal, 35(3), 245–250.

      PubMed

      Google Scholar

    45. Guntuku, S. C., Yaden, D. B., Kern, M. L., Ungar, L. H., & Eichstaedt, J. C. (2017). Detecting depression and mental illness on social media: an integrative review. Current Opinion in Behavioral Sciences, 18, 43–49.


      Google Scholar

    46. Haker, H., Lauber, C., & Rössler, W. (2005). Internet forums: a self-help approach for individuals with schizophrenia? Acta Psychiatrica Scandinavica, 112(6), 474–477.

      PubMed

      Google Scholar

    47. Hamm, M. P., Newton, A. S., Chisholm, A., Shulhan, J., Milne, A., Sundar, P., Ennis, H., Scott, S. D., & Hartling, L. (2015). Prevalence and effect of cyberbullying on children and young people: a scoping review of social media studies. JAMA Pediatrics, 169(8), 770–777.

      PubMed

      Google Scholar

    48. Hansen, C. F., Torgalsbøen, A.-K., Melle, I., & Bell, M. D. (2009). Passive/apathetic social withdrawal and active social avoidance in schizophrenia: difference in underlying psychological processes. The Journal of Nervous and Mental Disease, 197(4), 274–277.

      PubMed

      Google Scholar

    49. Highton-Williamson, E., Priebe, S., & Giacco, D. (2015). Online social networking in people with psychosis: a systematic review. International Journal of Social Psychiatry, 61(1), 92–101.

      PubMed

      Google Scholar

    50. Hilty, D. M., Chan, S., Torous, J., Luo, J., & Boland, R. J. (2019). Mobile health, smartphone/device, and apps for psychiatry and medicine: competencies, training, and faculty development issues. Psychiatric Clinics, 42(3), 513–534.

      PubMed

      Google Scholar

    51. Hswen, Y., Naslund, J. A., Chandrashekar, P., Siegel, R., Brownstein, J. S., & Hawkins, J. B. (2017). Exploring online communication about cigarette smoking among Twitter users who self-identify as having schizophrenia. Psychiatry Research, 257, 479–484.

      PubMed
      PubMed Central

      Google Scholar

    52. Hswen, Y., Naslund, J. A., Brownstein, J. S., & Hawkins, J. B. (2018a). Monitoring online discussions about suicide among Twitter users with schizophrenia: exploratory study. JMIR Mental Health, 5(4), e11483.

      PubMed
      PubMed Central

      Google Scholar

    53. Hswen, Y., Naslund, J. A., Brownstein, J. S., & Hawkins, J. B. (2018b). Online communication about depression and anxiety among twitter users with schizophrenia: preliminary findings to inform a digital phenotype using social media. Psychiatric Quarterly, 89(3), 569–580.

      PubMed

      Google Scholar

    54. Indian, M., & Grieve, R. (2014). When Facebook is easier than face-to-face: social support derived from Facebook in socially anxious individuals. Personality and Individual Differences, 59, 102–106.


      Google Scholar

    55. Jain, S. H., Powers, B. W., Hawkins, J. B., & Brownstein, J. S. (2015). The digital phenotype. Nature Biotechnology, 33(5), 462–463.

      PubMed

      Google Scholar

    56. Kiesler, S., Siegel, J., & McGuire, T. W. (1984). Social psychological aspects of computer-mediated communication. American Psychologist, 39, 1123–1134.


      Google Scholar

    57. Kross, E., Verduyn, P., Demiralp, E., Park, J., Lee, D. S., Lin, N., Shablack, H., Jonides, J., & Ybarra, O. (2013). Facebook use predicts declines in subjective well-being in young adults. PLoS One, 8(8), e69841.

      PubMed
      PubMed Central

      Google Scholar

    58. Lal, S., Nguyen, V., & Theriault, J. (2018). Seeking mental health information and support online: experiences and perspectives of young people receiving treatment for first-episode psychosis. Early Intervention in Psychiatry, 12(3), 324–330.

      PubMed

      Google Scholar

    59. Lin, L. Y., Sidani, J. E., Shensa, A., Radovic, A., Miller, E., Colditz, J. B., Hoffman, B. L., Giles, L. M., & Primack, B. A. (2016). Association between social media use and depression among US young adults. Depression and Anxiety, 33(4), 323–331.

      PubMed
      PubMed Central

      Google Scholar

    60. Machmutow, K., Perren, S., Sticca, F., & Alsaker, F. D. (2012). Peer victimisation and depressive symptoms: can specific coping strategies buffer the negative impact of cybervictimisation? Emotional and Behavioural Difficulties, 17(3–4), 403–420.


      Google Scholar

    61. Manikonda, L., & De Choudhury, M. (2017). Modeling and understanding visual attributes of mental health disclosures in social media. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 170–181.

    62. Mead, S., Hilton, D., & Curtis, L. (2001). Peer support: a theoretical perspective. Psychiatric Rehabilitation Journal, 25(2), 134–141.

      PubMed

      Google Scholar

    63. Mereish, E. H., Sheskier, M., Hawthorne, D. J., & Goldbach, J. T. (2019). Sexual orientation disparities in mental health and substance use among Black American young people in the USA: effects of cyber and bias-based victimisation. Culture, Health & Sexuality, 21(9), 985–998.


      Google Scholar

    64. Miller, B. J., Stewart, A., Schrimsher, J., Peeples, D., & Buckley, P. F. (2015). How connected are people with schizophrenia? Cell phone, computer, email, and social media use. Psychiatry Research, 225(3), 458–463.

      PubMed

      Google Scholar

    65. Mittal, V. A., Tessner, K. D., & Walker, E. F. (2007). Elevated social Internet use and schizotypal personality disorder in adolescents. Schizophrenia Research, 94(1–3), 50–57.

      PubMed
      PubMed Central

      Google Scholar

    66. Moorhead, S. A., Hazlett, D. E., Harrison, L., Carroll, J. K., Irwin, A., & Hoving, C. (2013). 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.

      PubMed
      PubMed Central

      Google Scholar

    67. Naslund, J. A., & Aschbrenner, K. A. (2019). Risks to privacy with use of social media: understanding the views of social media users with serious mental illness. Psychiatric Services, 70(7), 561–568.

    68. Naslund, J. A., Grande, S. W., Aschbrenner, K. A., & Elwyn, G. (2014). Naturally occurring peer support through social media: the experiences of individuals with severe mental illness using YouTube. PLoS One, 9(10), e110171.

      PubMed
      PubMed Central

      Google Scholar

    69. Naslund, J. A., Aschbrenner, K. A., & Bartels, S. J. (2016). How people living with serious mental illness use smartphones, mobile apps, and social media. Psychiatric Rehabilitation Journal, 39(4), 364–367.

      PubMed
      PubMed Central

      Google Scholar

    70. Naslund, J. A., Aschbrenner, K. A., Marsch, L. A., & Bartels, S. J. (2016a). Feasibility and acceptability of Facebook for health promotion among people with serious mental illness. Digital Health, 2, 2055207616654822.

      PubMed Central

      Google Scholar

    71. Naslund, J. A., Aschbrenner, K. A., Marsch, L. A., & Bartels, S. J. (2016b). The future of mental health care: peer-to-peer support and social media. Epidemiology and Psychiatric Sciences, 25(2), 113–122.

      PubMed
      PubMed Central

      Google Scholar

    72. Naslund, J. A., Aschbrenner, K. A., McHugo, G. J., Unützer, J., Marsch, L. A., & Bartels, S. J. (2019). Exploring opportunities to support mental health care using social media: A survey of social media users with mental illness. Early Intervention in Psychiatry, 13(3), 405–413.

    73. Naslund, J. A., Aschbrenner, K. A., Marsch, L. A., McHugo, G. J., & Bartels, S. J. (2018). Facebook for supporting a lifestyle intervention for people with major depressive disorder, bipolar disorder, and schizophrenia: an exploratory study. Psychiatric Quarterly, 89(1), 81–94.

      PubMed

      Google Scholar

    74. Naslund, J. A., Gonsalves, P. P., Gruebner, O., Pendse, S. R., Smith, S. L., Sharma, A., & Raviola, G. (2019). Digital innovations for global mental health: opportunities for data science, task sharing, and early intervention. Current Treatment Options in Psychiatry, 1–15.

    75. Onnela, J.-P., & Rauch, S. L. (2016). Harnessing smartphone-based digital phenotyping to enhance behavioral and mental health. Neuropsychopharmacology, 41(7), 1691–1696.

      PubMed
      PubMed Central

      Google Scholar

    76. Orben, A., & Przybylski, A. K. (2019). The association between adolescent well-being and digital technology use. Nature Human Behaviour, 3(2), 173–182.

      PubMed

      Google Scholar

    77. Patel, V., Saxena, S., Lund, C., Thornicroft, G., Baingana, F., Bolton, P., et al. (2018). The Lancet Commission on global mental health and sustainable development. The Lancet, 392(10157), 1553–1598.

    78. Primack, B. A., Shensa, A., Escobar-Viera, C. G., Barrett, E. L., Sidani, J. E., Colditz, J. B., & James, A. E. (2017). Use of multiple social media platforms and symptoms of depression and anxiety: a nationally-representative study among US young adults. Computers in Human Behavior, 69, 1–9.


      Google Scholar

    79. Reece, A. G., & Danforth, C. M. (2017). Instagram photos reveal predictive markers of depression. EPJ Data Science, 6(1), 15.


      Google Scholar

    80. Reece, A. G., Reagan, A. J., Lix, K. L., Dodds, P. S., Danforth, C. M., & Langer, E. J. (2017). Forecasting the onset and course of mental illness with Twitter data. Scientific Reports, 7(1), 13006.

      PubMed
      PubMed Central

      Google Scholar

    81. Rideout, V., & Fox, S. (2018). Digital health practices, social media use, and mental well-being among teens and young adults in the U.S. Retrieved from San Francisco, CA: https://www.hopelab.org/reports/pdf/a-national-survey-by-hopelab-and-well-being-trust-2018.pdf. Accessed 10 Jan 2020.

    82. Saha, K., Torous, J., Ernala, S. K., Rizuto, C., Stafford, A., & De Choudhury, M. (2019). A computational study of mental health awareness campaigns on social media. Translational behavioral medicine, 9(6), 1197–1207.

    83. Schlosser, D. A., Campellone, T., Kim, D., Truong, B., Vergani, S., Ward, C., & Vinogradov, S. (2016). Feasibility of PRIME: a cognitive neuroscience-informed mobile app intervention to enhance motivated behavior and improve quality of life in recent onset schizophrenia. JMIR Research Protocols, 5(2).

    84. Schlosser, D. A., Campellone, T. R., Truong, B., Etter, K., Vergani, S., Komaiko, K., & Vinogradov, S. (2018). Efficacy of PRIME, a mobile app intervention designed to improve motivation in young people with schizophrenia. Schizophrenia Bulletin, 44(5), 1010–1020.

      PubMed
      PubMed Central

      Google Scholar

    85. Schrank, B., Sibitz, I., Unger, A., & Amering, M. (2010). How patients with schizophrenia use the internet: qualitative study. Journal of Medical Internet Research, 12(5), e70.

      PubMed
      PubMed Central

      Google Scholar

    86. Schueller, S. M., Hunter, J. F., Figueroa, C., & Aguilera, A. (2019). Use of digital mental health for marginalized and underserved populations. Current Treatment Options in Psychiatry, 6(3), 243–255.


      Google Scholar

    87. Shatte, A. B., Hutchinson, D. M., & Teague, S. J. (2019). Machine learning in mental health: a scoping review of methods and applications. Psychological Medicine, 49(9), 1426–1448.

      PubMed

      Google Scholar

    88. Spinzy, Y., Nitzan, U., Becker, G., Bloch, Y., & Fennig, S. (2012). Does the Internet offer social opportunities for individuals with schizophrenia? A cross-sectional pilot study. Psychiatry Research, 198(2), 319–320.

      PubMed

      Google Scholar

    89. Stiglic, N., & Viner, R. M. (2019). Effects of screentime on the health and well-being of children and adolescents: a systematic review of reviews. BMJ Open, 9(1), e023191.

      PubMed
      PubMed Central

      Google Scholar

    90. Sumner, S. A., Galik, S., Mathieu, J., Ward, M., Kiley, T., Bartholow, B., et al. (2019). Temporal and geographic patterns of social media posts about an emerging suicide game. Journal of Adolescent Health, 65(1), 94–100.

    91. Torous, J., & Keshavan, M. (2016). The role of social media in schizophrenia: evaluating risks, benefits, and potential. Current Opinion in Psychiatry, 29(3), 190–195.

      PubMed

      Google Scholar

    92. Torous, J., Chan, S. R., Tan, S. Y.-M., Behrens, J., Mathew, I., Conrad, E. J., et al. (2014a). Patient smartphone ownership and interest in mobile apps to monitor symptoms of mental health conditions: a survey in four geographically distinct psychiatric clinics. JMIR Mental Health, 1(1), e5.

      PubMed
      PubMed Central

      Google Scholar

    93. Torous, J., Friedman, R., & Keshavan, M. (2014b). Smartphone ownership and interest in mobile applications to monitor symptoms of mental health conditions. JMIR mHealth and uHealth, 2(1), e2.

      PubMed
      PubMed Central

      Google Scholar

    94. Torous, J., Wisniewski, H., Bird, B., Carpenter, E., David, G., Elejalde, E., et al. (2019). Creating a digital health smartphone app and digital phenotyping platform for mental health and diverse healthcare needs: an interdisciplinary and collaborative approach. Journal of Technology in Behavioral Science, 4(2), 73–85.

    95. Trefflich, F., Kalckreuth, S., Mergl, R., & Rummel-Kluge, C. (2015). Psychiatric patients’ internet use corresponds to the internet use of the general public. Psychiatry Research, 226, 136–141.

      PubMed

      Google Scholar

    96. Twenge, J. M., & Campbell, W. K. (2018). Associations between screen time and lower psychological well-being among children and adolescents: evidence from a population-based study. Preventive Medicine Reports, 12, 271–283.

      PubMed
      PubMed Central

      Google Scholar

    97. Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among US adolescents after 2010 and links to increased new media screen time. Clinical Psychological Science, 6(1), 3–17.


      Google Scholar

    98. Tynes, B. M., Willis, H. A., Stewart, A. M., & Hamilton, M. W. (2019). Race-related traumatic events online and mental health among adolescents of color. Journal of Adolescent Health, 65(3), 371–377.

      PubMed

      Google Scholar

    99. Vannucci, A., Flannery, K. M., & Ohannessian, C. M. (2017). Social media use and anxiety in emerging adults. Journal of Affective Disorders, 207, 163–166.

      PubMed

      Google Scholar

    100. Vayreda, A., & Antaki, C. (2009). Social support and unsolicited advice in a bipolar disorder online forum. Qualitative Health Research, 19(7), 931–942.

      PubMed

      Google Scholar

    101. Ventola, C. L. (2014). Social media and health care professionals: benefits, risks, and best practices. Pharmacy and Therapeutics, 39(7), 491–520.

      PubMed
      PubMed Central

      Google Scholar

    102. We Are Social. (2020). Digital in 2020. Retrieved from https://wearesocial.com/global-digital-report-2019. Accessed 10 Jan 2020.

    103. Webb, H., Jirotka, M., Stahl, B. C., Housley, W., Edwards, A., Williams, M., … & Burnap, P. (2017). The ethical challenges of publishing Twitter data for research dissemination. Paper presented at the proceedings of the 2017 ACM on Web Science Conference, 339–348.

    104. Williams, M. L., Burnap, P., & Sloan, L. (2017). Towards an ethical framework for publishing twitter data in social research: taking into account users’ views, online context and algorithmic estimation. Sociology, 51(6), 1149–1168.

      PubMed
      PubMed Central

      Google Scholar

    105. Woods, H. C., & Scott, H. (2016). # Sleepyteens: social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem. Journal of Adolescence, 51, 41–49.

      PubMed

      Google Scholar

    106. Ybarra, M. L. (2004). Linkages between depressive symptomatology and internet harassment among young regular Internet users. Cyberpsychology & Behavior, 7(2), 247–257.


      Google Scholar

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