Picturing Mental Health on Instagram: Insights from a Quantitative Study Using Different Content Formats
Abstract
:1. Introduction
2. Theoretical Background
2.1. Health Communication on Social Media
2.2. Mental Health Influencers and Online Social Support
- (1)
- Informational support: respondents are provided with information on proper treatment, medication or access to providers;
- (2)
- Esteem support: individuals receive positive comments and words of encouragement;
- (3)
- Emotional support: other social media users express empathy, support and understanding for individuals’ problems, hardships and struggles, also offering hope and guidance;
- (4)
- Network support: affected social media users (both influencers and followers) share personal recounts of their experiences, e.g., mental health struggles.
2.3. Different Content Formats on Instagram
2.3.1. Motivational Quote
2.3.2. Comic
2.3.3. Influencer Post
3. Empirical Study
3.1. Study Purpose
- (1)
- Stimulus 1 was a motivational quote: “Your bad days do not define you”. The quote is featured in capital letters against a floral, pastel-colored background. The motivational quote served as an expression of emotional support, for it is based on expressions of empathy and caring.
- (2)
- Stimulus 2 contained a comic that was made up of three different frames. The visual featured an illustration of a ghost walking towards a cave. The illustration was accompanied by several textual sequences that read as follows: “Sometimes we just need to cry out. And that’s ok”. Given that it is based on a (informative) statement and on factual information that can assist individuals in dealing with their mental health problems, this post type classifies as informational support.
- (3)
- Stimulus 3 was an influencer post and depicted a mental health influencer posing next to a positive statement (“You are beautiful”) on a restaurant’s mosaic bathroom floor. Since the influencer is featured in the visual herself and creates a connection through companionship, this post qualifies as network support.
3.2. Study Population and Description
3.3. Operationalization of Variables
- Individuals’ Attitudes towards Instagram were measured with two items adapted from the Facebook Intensity Scale [72] (KMO = 0.500, p = 0.000; alpha = 0.855).
- Individuals’ Instagram Use was reported via one question adapted from Ellison et al. [72] that read as follows: Instagram is part of my everyday activity.
- Individuals’ Daily Instagram Routine was determined via a single item, following the example of the Facebook Intensity Scale [72]: In the past week, how many hours did you spend on average actively using Instagram?
- Individuals’ Experiences on Instagram were established via 3 items of the Scale of Positive and Negative Experience [73] (KMO = 0.689, p = 0.000; alpha = 0.776).
- Individuals’ Mental Health State was determined through the utilization of the Flourishing Scale [76], which tested for respondents’ emotional well-being. It consisted of 5 items (KMO = 0.798, p = 0.000; alpha = 0.757).
- Social Comparison on Instagram was measured via 2 items adopted from Schneider and Schupp [77] (KMO = 0.500, p = 0.000; alpha = 0.701).
- The Social Support as received from other Instagram Users was based on the Online Social Support Scale [78]. It was reported with 4 items (KMO = 0.811, p = 0.000; alpha = 0.876).
- Cognitive Post Evaluation was measured with 3 questions adapted from MacKenzie and Lutz [79] (KMO = 0.708, p = 0.000; α = 0.832).
- Affective Post Evaluation was established through 5 items from the same scale [79] (KMO = 0.854, p = 0.000; α = 0.891).
4. Results
5. Discussion and Implications
6. Limitations and Directions for Future Research
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Lee, S.A.; Jobe, M.C.; Mathis, A.A.; Gibbons, J.A. Incremental validity of coronaphobia: Coronavirus anxiety explains depression, generalized anxiety, and death anxiety. J. Anxiety Disord. 2020, 74, 102268. [Google Scholar] [CrossRef] [PubMed]
- Richter, F. Pandemic Causes Spike in Anxiety & Depression. Statista. 2021. Available online: https://www.statista.com/chart/21878/impact-of-coronavirus-pandemic-on-mental-health/ (accessed on 7 January 2022).
- Stewart, C. What Impact, If Any, Has the Last Few Weeks of the Coronavirus Pandemic Had on Your Mental Health? Statista. 2020. Available online: https://www.statista.com/statistics/1113551/coronavirus-situation-impact-on-mental-health-uk/ (accessed on 8 January 2022).
- Pieh, C.; Budimir, S.; Probst, T. The effect of age, gender, income, work, and physical activity on mental health during coronavirus disease (COVID-19) lockdown in Austria. J. Psychosom. Res. 2020, 136, 110186. [Google Scholar] [CrossRef] [PubMed]
- Dlugosz, P. Factors influencing mental health among American youth in the time of the Covid-19 pandemic. Personal. Individ. Differ. 2021, 2021, 110711. [Google Scholar] [CrossRef] [PubMed]
- Lucibello, K.M.; Vani, M.F.; Koulanova, A.; deJonge, M.L.; Ashdown-Franks, G.; Sabiston, C.M. #Quarantine15: A content analysis of Instagram posts during COVID-19. Body Image 2021, 38, 148–156. [Google Scholar] [PubMed]
- Naslund, J.A.; Bondre, A.; Torous, J. Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice. J. Technol. Behav. Sci. 2020, 5, 245–257. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Sadagheyani, H.E.; Tatari, F. Investigating the role of social media on mental health. Ment. Health Soc. Incl. 2021, 25, 41–48. [Google Scholar] [CrossRef]
- Chou, W.S.; Hunt, Y.M.; Beckjord, E.B.; Moser, R.P.; Hesse, B.W. Social Media Use in the United States: Implications for Health Communication. J. Med. Internet Res. 2009, 11, e48. [Google Scholar] [CrossRef] [PubMed]
- Bhatt, S. The Rise of Mental Health Influencers. The Economic Times. 2020. Available online: Indiatimes.com (accessed on 20 July 2021).
- Ashman, R.; Patterson, A.; Kozinets, R.V. Netnography and Design Thinking: Development and Illustration in the Vegan Food Industry. Eur. J. Mark. 2021, 55, 2491–2514. [Google Scholar] [CrossRef]
- Altendorfer, L.M. Influencer in der Digitalen Gesundheitskommunikation. Instagramer, YouTuber und Co. Zwischen Qualität, Ethik und Professionalisierung; Nomos: Baden-Baden, Germany, 2019. [Google Scholar]
- Mowery, D.; Bryan, C.; Conway, M. Feature Studies to Inform the Classification of Depressive Symptoms from Twitter Data for Population Health. arXiv 2017, arXiv:1701.08229. [Google Scholar]
- Berryman, C.; Ferguson, C.J.; Negy, C. Social Media Use and Mental Health among Young Adults. Psychiatr. Q. 2018, 89, 307–314. [Google Scholar] [CrossRef]
- Guntuku, S.C.; Yaden, D.B.; Kern, M.L.; Unger, L.H.; Eichstaedt, J.C. Detecting depression and mental illness on social media: An integrative review. Curr. Opin. Psychol. 2017, 18, 43–49. [Google Scholar] [CrossRef]
- Muralidhara, S.; Paul, M.J. #Healthy Selfies: Exploration of Health Topics on Instagram. JMIR Public Health Surveill. 2018, 4, e10150. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ahadzadeh, A.S.; Sharif, S.P.; Ong, F.S. Self-schema and self-discrepancy mediate the influence of Instagram usage on body image satisfaction among youth. Comput. Hum. Behav. 2017, 68, 8–16. [Google Scholar] [CrossRef]
- MacMillan, A. Why Instagram Is the Worst Social Media for Mental Health. Time. 2017. Available online: https://time.com/4793331/instagram-social-media-mental-health/ (accessed on 7 January 2022).
- Lorenz, T. Teens Are Being Bullied ‘Constantly’ on Instagram. The Atlantic. 2018. Available online: https://www.theatlantic.com/technology/archive/2018/10/teens-face-relentless-bullying-instagram/572164/ (accessed on 8 January 2022).
- Ferguson, C.J. Should We Panic about Teens’ Social Media Use? Houston Chronicle. 2017. Available online: http://www.houstonchronicle.com/local/gray-matters/article/Should-we-panic-about-teens-social-media-use-11191051.php (accessed on 8 January 2022).
- Orben, A. No, It Hasn’t Been Proven that Instagram is Worst for Young Mental Health. We Need to Stop Misleading the Public with Social Media Pseudoscience. 2017. Available online: https://medium.com/@OrbenAmy/no-it-hasnt-been-proven-that-instagram-is-worst-for-young-mental-health-36894f33c237 (accessed on 6 January 2022).
- Jelenchick, L.A.; Eickhoff, J.C.; Moreno, M.A. “Facebook depression?” social networking site use and depression in older adolescents. J. Adolesc. Health 2013, 52, 128–130. [Google Scholar] [CrossRef] [PubMed]
- Veretilo, P.; Billick, S.B. Psychiatric illness and facebook: A case report. Psychiatr. Q. 2012, 83, 385–389. [Google Scholar] [CrossRef] [PubMed]
- Simoncic, T.E.; Kuhlman, K.R.; Vargas, I.; Houchins, S.; Lopez-Duran, N.L. Facebook use and depressive symptomatology: Investigating the role of neuroticism and extraversion in youth. Comput. Hum. Behav. 2014, 1, 1–5. [Google Scholar] [CrossRef] [PubMed]
- Reinecke, L.; Trepte, S. Authenticity and well-being on social network sites: A two-wave longitudinal study on the effects of online authenticity and the positivity bias in SNS communication. Comput. Hum. Behav. 2014, 30, 95–102. [Google Scholar] [CrossRef]
- Grieve, R.; Watkinson, J. The psychological benefits of being authentic on Facebook. Cyberpsychology Behav. Soc. Netw. 2016, 19, 420–425. [Google Scholar] [CrossRef]
- Meier, A.; Schäfer, S. Positive Side of Social Comparison on Social Network Sites: How Envy Can Drive Inspiration on Instagram. Cyberpsychology Behav. Soc. Netw. 2018, 21, 411–417. [Google Scholar] [CrossRef]
- Seabrook, E.M.; Kern, M.L.; Rickard, N.S. Social Networking Sites, Depression, and Anxiety: A Systematic Review. JMIR Mental Health 2016, 3, e50. [Google Scholar] [CrossRef]
- Firsching, J. Instagram Trends 2020: Instagram Überholt Facebook & Karussell-Postings Mit Den Meisten Interaktionen. FutureBiz. 2020. Available online: https://www.futurebiz.de/artikel/instagram-trends-2020/ (accessed on 6 January 2022).
- Vraga, E.K.; Bode, L.; Troller-Renfree, S. Beyond selfreports: Using eye tracking to measure topic and style differences in attention to social media content. Commun. Methods Meas. 2016, 10, 149–164. [Google Scholar] [CrossRef]
- Agrawal, A.J. Why Influencer Marketing Will Explode in 2017. Forbes. 2016. Available online: https://www.forbes.com/sites/ajagrawal/2016/12/27/why-influencer-marketingwill-explode-in-2017/#3bfaf85c20a9 (accessed on 8 January 2022).
- Lou, C.; Yuan, S. Influencer Marketing: How Message Value and Credibility Affect Consumer Trust of Branded Content on Social Media. J. Interact. Advert. 2019, 19, 58–73. [Google Scholar] [CrossRef]
- Djafarova, E.; Rushworth, C. Exploring the Credibility of Online Celebrities’ Instagram Profiles in Influencing the Purchase Decisions of Young Female Users. Comput. Hum. Behav. 2017, 68, 1–7. [Google Scholar] [CrossRef]
- Tietjen, A. The Mental Health Influencers. Available online: http://web.a.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=1&sid=220fa934-9e45-4ca6-8559-3e4ab79372d9%40sdcv-sessmgr02 (accessed on 8 January 2022).
- Pettigrew, S.; Donovan, R.J.; Pescud, M.; Newton, R.; Boldy, D. Communicating with older people about positive mental health. J. Public Ment. Health 2012, 11, 65–76. [Google Scholar] [CrossRef]
- McCosker, A. Engaging mental health online: Insights from beyond blue’s forum influencers. New Media Soc. 2018, 20, 4748–4764. [Google Scholar] [CrossRef]
- Davidson, L.; Chinman, M.; Sells, D.; Rowe, M. Peer support among adults with serious mental illness: A report from the field. Schizophr. Bull. 2006, 32, 443–450. [Google Scholar] [CrossRef] [Green Version]
- Jarzyna, C.L. Parasocial Interaction, the COVID-19 Quarantine, and Digital Age Media. Hum. Arenas 2021, 4, 413–429. [Google Scholar] [CrossRef]
- Resnick, S.G.; Rosenheck, R.A. Integrating peer-provided services: A quasi-experimental study of recovery orientation, confidence, and empowerment. Psychiatr. Serv. 2008, 59, 1307–1314. [Google Scholar] [CrossRef]
- Walker, G.; Bryant, W. Peer support in adult mental health services: A meta synthesis of qualitative findings. Psychiatr. Rehabil. J. 2013, 36, 28–34. [Google Scholar] [CrossRef]
- Naslund, J.A.; Grande, S.W.; Aschbrenner, K.A.; Elwyn, G. Naturally occurring peer support through social media: The experiences of individuals with severe mental illness using YouTube. PLoS ONE 2014, 9, e110171. [Google Scholar] [CrossRef] [Green Version]
- Mead, S.; Hilton, D.; Curtis, L. Peer support: A theoretical perspective. Psychiatr. Rehabil. J. 2001, 25, 134–141. [Google Scholar] [CrossRef] [PubMed]
- Chang, H.J. Online supportive interactions: Using a network approach to examine communication patterns within a psychosis social support group in Taiwan. J. Am. Soc. Inf. Sci. Technol. 2009, 60, 1504–1517. [Google Scholar] [CrossRef]
- Collarby. 5 Influencer Marketing Trends We Predict for 2020. Team Collabry. 2019. Available online: https://www.collabary.com/blog/influencer-marketing-trends-2020/ (accessed on 6 January 2022).
- Cilandro, A.; Graham, J. Studying Instagram beyond Selfies. Social Media + Society April–June: 1–7. 2020. Available online: https://journals.sagepub.com/doi/pdf/10.1177/2056305120924779 (accessed on 5 January 2022).
- Saboia, I.; Pisco Almeida, A.M.; Sousa, P.; Pernencar, C. I am with you: A netnographic analysis of the Instagram opinion leaders on eating behavior change. Procedia Comput. Sci. 2018, 138, 97–104. [Google Scholar] [CrossRef]
- Dodds, A.; Chamberlain, K. The problematic messages of nutritional discourse: A case-based critical media analysis. Appetite 2017, 108, 42–50. [Google Scholar] [CrossRef] [PubMed]
- Slater, A.; Varsani, N.; Diedrichs, P.C. #fitspo or #loveyourself? The impact of fitspiration and self-compassion Instagram images on women’s body image, self-compassion, and mood. Body Image 2017, 22, 87–96. [Google Scholar] [CrossRef] [PubMed]
- Fox, S.; Duggan, M. Health Online 2013 [Internet]; Pew Research Center ’s Internet & American Life Project: Washington, DC, USA, 2013; pp. 1–55. Available online: http://www.pewinternet.org/2013/01/15/health-online-2013/# (accessed on 7 January 2022).
- Sarasohn-Kahn, J. The Wisdom of Patients: Health Care Meets Online Social Media; California Health Care Foundation: Oakland, CA, USA, 2008; pp. 1–25. [Google Scholar]
- Kearns, C.; Kearns, N. The role of comics in public health communication during the COVID-19 pandemic. J. Vis. Commun. Med. 2020, 43, 139–149. [Google Scholar] [CrossRef] [PubMed]
- Brueck, H.; Medaris Miller, A.; Feder, S. China Took at Least 12 Strict Measures to Control the Coronavirus. They Could Work for the US, But Would Likely be Impossible to Implement. Business Insider Australia. 2020. Available online: https://www.businessinsider.com.au/chinas-coronavirus-quarantines-other-countries-arent-ready-2020-3?r=US&IR=T (accessed on 7 January 2022).
- Simpson, W. Feelings in the Gutter: Opportunities for Emotional Engagement in Comics. ImageTexT. 2018. Available online: http://imagetext.english.ufl.edu/archives/v10_1/simpson/#eleven (accessed on 5 January 2022).
- Alemany-Pagès, M.; Azul, A.M.; Ramalho-Santos, J. The use of comics to promote health awareness: A template using nonalcoholic fatty liver disease. Eur. J. Clin. Investig. 2021, e13642. [Google Scholar] [CrossRef]
- Anand, T.; Kishore, J.; Ingle, G.K.; Grover, S. Perception about use of comics in medical and nursing education among students in health professions’ schools in New Delhi. Educ. Health 2018, 31, 125–129. [Google Scholar] [CrossRef]
- Aleixo, P.; Sumner, K. Memory for biopsychology material presented in comic book format. J. Graph. Nov. Comics 2017, 8, 1–10. [Google Scholar] [CrossRef] [Green Version]
- Branscum, P.; Sharma, M.; Wang, L.L.; Wilson, B.; Rojas-Guyler, L. A process evaluation of a social cognitive theory-based childhood obesity prevention intervention: The comics for health program. Health Promot. Pract. 2013, 14, 189–198. [Google Scholar] [CrossRef]
- Tversky, A.; Kahneman, D. Availability: A heuristic for judging frequency and probability. Cogn Psychol 1973, 5, 207–232. [Google Scholar] [CrossRef]
- Locke, K.D. Agency and communion in social comparisons. In Communal Functions of Social Comparison; Križan, Z., Gibbons, F.X., Eds.; Cambridge University Press: Cambridge, UK, 2014; pp. 11–38. [Google Scholar]
- McNicol, N. Humanising illness: Presenting health information in educational comics. Med. Humanit. 2014, 40, 49–55. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Dobbins, S. Comics in public health: The sociocultural and cognitive influence of narrative on health behaviors. J. Graph. Nov. Comics 2016, 7, 35–52. [Google Scholar] [CrossRef]
- Goodwin, J.; Tajjudin, I. “What do you think I am? Crazy?”: The Joker and stigmatizing representations of mental ill-health. J. Pop. Cult. 2016, 49, 385–402. [Google Scholar] [CrossRef]
- Farthing, A.; Priego, E. ‘Graphic Medicine’ as a mental health information resource: Insights from comics producers. Comics Grid J. Comics Scholarsh. 2016, 6, 1–23. [Google Scholar] [CrossRef] [Green Version]
- Rogers, E.M. Diffusion of Innovations, 5th ed.; Free Press: New York, NY, USA, 2003. [Google Scholar]
- Souza, F.; de las Casas, D.; Flores, V.; Youn, S.; Cha, M.; Quercia, D.; Almeida, V. Dawn of the Selfie Era: The Whos, Wheres, and Hows of Selfies on Instagram. In Proceedings of the 2015 ACM on Conference on Online Social Networks, Stanford University, Stanford, CA, USA, 19 October 2015. [Google Scholar] [CrossRef]
- WordStream. 33 Mind-Boggling Instagram Stats & Facts for 2018. Available online: https://www.wordstream.com/blog/ws/2017/04/20/instagram-statistics (accessed on 26 August 2019).
- Mathur, L.K.; Mathur, I.; Ranga, N. The wealth effects associated with a celebrity endorser: The Michael Jordan phenomenon. J. Advert. Res. 1997, 37, 67–73. [Google Scholar]
- Nicolau, J.; Santa-María, M. “Celebrity Endorsers” Performance on the “Ground” and on the “Floor”; Marketing Letters; Springer: Berlin/Heidelberg, Germany, 2013; Volume 24, pp. 143–149. [Google Scholar]
- Statista. Instagram-Nutzerzahlen Für Österreich Bis 2021. Altersverteilung. Statista. 2021. Available online: https://de.statista.com/statistik/daten/studie/512380/umfrage/instagram-nutzer-inoesterreich/ (accessed on 7 January 2022).
- Statista. Altersverteilung der Österreichischen Instagram-Nutzer im April 2021. Statista. 2021. Available online: https://de.statista.com/statistik/daten/studie/512308/umfrage/instagram-nutzerzerzahlenfuer-oesterreich-nach-alter/ (accessed on 7 January 2022).
- Broom, A.; Hand, K.; Tovey, P. The role of gender, environment and individual biography in shaping quali-tative interview data. Int. J. Soc. Res. Methodol. Theory Pract. 2009, 12, 51–65. [Google Scholar] [CrossRef]
- Ellison, N.B.; Steinfield, C.; Lampe, C. The benefits of Facebook “friends:” Social capital and college students’ use of online social network sites. J. Comput. Mediat. Commun. 2007, 12, 1143–1168. [Google Scholar] [CrossRef] [Green Version]
- Li, F.; Bai, X.; Wang, Y. The Scale of Positive and Negative Experience (SPANE): Psychometric properties and normative data in a large Chinese sample. PLoS ONE 2013, 8, e61137. [Google Scholar] [CrossRef] [Green Version]
- Jenkins-Guarnieri, M.A.; Wright, S.L.; Johnson, B. Development and validation of a social media use integration scale. Psychol. Pop. Media Cult. 2013, 2, 38–50. [Google Scholar] [CrossRef]
- Maree, T. The Social Media Use Integration Scale: Toward Reliability and Validity. Int. J. Hum.–Comput. Interact. 2017, 33, 963–972. [Google Scholar] [CrossRef] [Green Version]
- Diener, E.; Wirtz, D.; William, T.; Kim-Prieto, C.; Dongwon, C.; Oishi, S.; Biswas-Diener, R. New well-being measures: Short scales to assess flourishing and positive and negative feelings. Soc. Indic. Res. 2010, 97, 143–156. [Google Scholar] [CrossRef]
- Schneider, S.; Schupp, J. The Social Comparison Scale: Testing the Validity, Reliability, and Applicability of the Iowa-Netherlands Comparison Orientation Measure (INCOM) on the German Population. SOEP Papers on Multidisciplinary Panel Data Research. 2011. Available online: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1772742 (accessed on 7 January 2022).
- Nick, E.A.; Cole, D.A.; Cho, S.J.; Smith, D.K.; Carter, T.G.; Zelkowitz, R.L. The Online Social Support Scale: Measure development and validation. Psychol. Assess. 2018, 30, 1127–1143. [Google Scholar] [CrossRef] [PubMed]
- MacKenzie, S.B.; Lutz, R.J. An empirical examination of the structural antecedents of attitude toward the ad in an advertising pretesting context. J. Mark. 1989, 53, 48–65. [Google Scholar] [CrossRef]
- Whiting, A.; Williams, D. Why people use social media: A uses and gratifications approach. Qual. Mark. Res. 2013, 16, 362–369. [Google Scholar] [CrossRef] [Green Version]
- Stollfuß, S. Communitainment on Instagram: Fitness Content and Community-Driven Communication as Social Media Entertainment. SAGE Open 2020, 10, 2158244020919535. [Google Scholar] [CrossRef]
- Alkureishi, M.A.; Johnson, T.; Nichols, J.; Dhodapkar, M.; Czerwiec, M.K.; Wroblewski, K.; Arora, V.M.; Lee, W.W. Impact of an Educational Comic to Enhance Patient-Physician-Electronic Health Record Engagement: Prospective Observational Study. JMIR Hum. Factors 2021, 8, e25054. [Google Scholar] [CrossRef]
- Craik, F.I.M. Levels of processing: Past, present… and future? Memory 2002, 10, 305–318. [Google Scholar] [CrossRef]
- Lang, A.; Park, B.; Sanders-Jackson, A.N.; Wilson, B.D.; Wang, Z. Cognition and emotion in TV message processing: How valence, arousing content, structural complexity, and information density affect the availability of cognitive resources. Media Psychol. 2007, 10, 317–338. [Google Scholar] [CrossRef]
- Bradley, S.D. Dynamic, embodied, limited-capacity attention and memory: Modeling cognitive processing of mediated stimuli. Media Psychol. 2007, 9, 211–239. [Google Scholar] [CrossRef]
- An, J.; Weber, I. # greysanatomy vs. # yankees: Demographics and hashtag use on Twitter. arXiv 2016, preprint. arXiv:1603.01973. [Google Scholar]
- Daantje, D.; Agneta, H.F.; Arjan, E.R.B. The role of emotion in computer mediated communication. Comput. Hum. Behav. 2008, 24, 766–785. [Google Scholar] [CrossRef]
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Koinig, I. Picturing Mental Health on Instagram: Insights from a Quantitative Study Using Different Content Formats. Int. J. Environ. Res. Public Health 2022, 19, 1608. https://doi.org/10.3390/ijerph19031608
Koinig I. Picturing Mental Health on Instagram: Insights from a Quantitative Study Using Different Content Formats. International Journal of Environmental Research and Public Health. 2022; 19(3):1608. https://doi.org/10.3390/ijerph19031608
Chicago/Turabian StyleKoinig, Isabell. 2022. "Picturing Mental Health on Instagram: Insights from a Quantitative Study Using Different Content Formats" International Journal of Environmental Research and Public Health 19, no. 3: 1608. https://doi.org/10.3390/ijerph19031608
APA StyleKoinig, I. (2022). Picturing Mental Health on Instagram: Insights from a Quantitative Study Using Different Content Formats. International Journal of Environmental Research and Public Health, 19(3), 1608. https://doi.org/10.3390/ijerph19031608