Adolescents in Indonesia and COVID-19 pandemic

Excerpt:


J. Pharm. Pharmacogn. Res., vol. 11, no. 3, pp. 426-436, May-June 2023. DOI: https://doi.org/10.56499/jppres22.1560_11.3.426 Original Article Perception, mental health, and social media exposure on adolescents in Indonesia during COVID-19 pandemic [Percepción, salud mental y exposición a los medios sociales en adolescentes de Indonesia durante la pandemia de COVID-19] Efa Nugroho1*, Alfiana Ainun Nisa1, Widya Hary Cahyati1, … Continue reading Adolescents in Indonesia and COVID-19 pandemic

J. Pharm. Pharmacogn. Res., vol. 11, no. 3, pp. 426-436, May-June 2023.

DOI: https://doi.org/10.56499/jppres22.1560_11.3.426

Original Article

Perception, mental health, and social media exposure on adolescents in Indonesia during COVID-19 pandemic

[Percepción, salud mental y exposición a los medios sociales en adolescentes de Indonesia durante la pandemia de COVID-19]

Efa Nugroho1*, Alfiana Ainun Nisa1, Widya Hary Cahyati1, Najib2

1Department of Public Health, Universitas Negeri Semarang, Indonesia.

2National Research and Innovation Agency, Indonesia.

*E-mail: efa.nugroho@mail.unnes.ac.id

Abstract

Context: Many adolescents exposed to social media information during the coronavirus pandemic (COVID-19) appeared in Indonesia, especially in Central Java.

Aims: To assess adolescent perceptions of COVID-19 and the prevalence of mental health problems and examine their relationship with social media exposure.

Methods: This study used a cross-sectional design in adolescents aged between 10-24 years in Central Java province and was conducted from May to June 2020. The snowball sampling technique was used to distribute questionnaires online via WhatsApp. The estimated number of samples who filled out the questionnaire was 1357 respondents. The instruments used in this study wereWHO-Five Well-Being Index (WHO-5), Generalized Anxiety Disorder (GAD-7), and a questionnaire developed by researchers using the theoretical framework approach Health Belief Model. Multivariable logistic regression was used to identify the relationship between social media exposure with mental health problems and adolescent perceptions after controlling for covariates.

Results: From the results of the study obtained data that were associated with social media exposure in adolescents in Central Java during the pandemic as age (p = 0.0001), education (p = 0.025), and health conditions (p = 0.016). Then social media exposure in adolescents during a pandemic affected perception (p = 0.0001) and stress (p = 0.005) but did not affect depression (p = 0.108).

Conclusions: The findings indicated that social media exposure had a significant effect on perception and stress levels. Adolescents who had higher exposure to social media during the pandemic experienced changes in their perception and reported higher levels of stress. However, the study did not find a significant association between social media exposure and depression among adolescents during the pandemic. This suggests that while social media exposure may influence perception and stress, it may not have a direct impact on depression.

Keywords: adolescents; COVID-19; mental health; perception; social media.

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Resumen

Contexto: Muchos adolescentes expuestos a la información de los medios sociales durante la pandemia de coronavirus (COVID-19) aparecieron en Indonesia, especialmente en Java Central.

Objetivos: Evaluar las percepciones de los adolescentes sobre COVID-19 y la prevalencia de problemas de salud mental y examinar su relación con la exposición a los medios sociales.

Métodos: Este estudio utilizó un diseño transversal en adolescentes de entre 10 y 24 años de la provincia de Java Central y se llevó a cabo entre mayo y junio de 2020. Se utilizó la técnica de muestreo de bola de nieve para distribuir cuestionarios en línea a través de WhatsApp. El número estimado de muestras que rellenaron el cuestionario fue de 1357 encuestados. Los instrumentos utilizados en este estudio fueron el Índice de Bienestar de la OMS-Cinco (OMS-5), el Trastorno de Ansiedad Generalizada (TAG-7) y un cuestionario desarrollado por los investigadores utilizando el enfoque del marco teórico Modelo de Creencias de Salud. Se utilizó la regresión logística multivariable para identificar la relación entre la exposición a los medios sociales con los problemas de salud mental y las percepciones de los adolescentes tras controlar las covariables.

Resultados: De los resultados del estudio se obtuvieron datos que se asociaron con la exposición a los medios sociales en adolescentes de Java Central durante la pandemia como la edad (p = 0,0001), la educación (p = 0,025), y las condiciones de salud (p = 0,016). La exposición a los medios sociales en adolescentes durante la pandemia afectó a la percepción (p = 0,0001) y al estrés (p = 0,005), pero no afectó a la depresión (p = 0,108).

Conclusiones: Los resultados indicaron que la exposición a los medios sociales tuvo un efecto significativo en la percepción y los niveles de estrés. Los adolescentes más expuestos a los medios sociales durante la pandemia experimentaron cambios en su percepción y declararon mayores niveles de estrés. Sin embargo, el estudio no encontró una asociación significativa entre la exposición a los medios sociales y la depresión entre los adolescentes durante la pandemia. Esto sugiere que, aunque la exposición a los medios sociales puede influir en la percepción y el estrés, es posible que no tenga un impacto directo en la depresión.

Palabras Clave: adolescentes; COVID-19; salud mental; percepción; medios sociales.

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Citation Format: Nugroho E, Nisa AA, Cahyati WH, Najib (2023) Perception, mental health, and social media exposure on adolescents in Indonesia during COVID-19 pandemic. J Pharm Pharmacogn Res 11(3): 426–436. https://doi.org/10.56499/jppres22.1560_11.3.426
References

Boaventura P, Macedo S, Ribeiro F, Jaconiano S, Soares P (2022) Post-COVID-19 condition: Where are we now? Life 12(4): 517. https://doi.org/10.3390/life12040517

Budury S, Fitriasari A, Sari DJE (2020) Social media and mental health issue among students during pandemic Covid-19. J Keperawatan Jiwa 8(4): 551–556 https://doi.org/10.26714/jkj.8.4.2020.551-556

Centers for Disease Control and Prevention (2020a) Novel Coronavirus: Prevention & Treatment. [cited 2020 April 25]. Available from: https://www.cdc.gov/coronavirus/2019-ncov/index.html

Centers for Disease Control and Prevention (2020b) Coronavirus Disease 2019 (COVID-19). [Cited 2020 April 25]. Available from: https://www.cdc.gov/coronavirus/2019-ncov/index.html

Chan AKM, Nickson CP, Rudolph JW, Lee A, Joynt GM (2020) Social media for rapid knowledge dissemination : Early experience from the COVID-19 pandemic. Anaesthesia 75(12): 1579–1582. https://doi.org/10.1111/anae.15057

Choi D-H, Yoo W, Noh G-Y, Park K (2017) The impact of social media on risk perceptions during the MERS outbreak in South Korea. Comput Human Behav 72: 422–431. https://doi.org/10.1016/j.chb.2017.03.004

Dantzer R, Cohen S, Russo SJ, Dinan TG (2018) Resilience and immunity. Brain, Behavior, and Immun 74: 28–42. https://doi.org/10.1016/j.bbi.2018.08.010

Department of Health of Central Java Province (2020) Sebaran Kasus COVID-19 Di Jawa Tengah. [Cited 2020 April 25]. Available from: https://corona.jatengprov.go.id/

Jones CL, Jensen JD, Scherr CL, Brown NR, Christy K, Weaver J (2015) The Health Belief Model as an explanatory framework in communication research: exploring parallel, serial, and moderated mediation. Health Commun 30(6): 566–576. https://doi.org/10.1080/10410236.2013.873363

Lee Y, Jeon YJ, Kang S, Shin JI, Jung YC, Jung SJ (2022) Social media use and mental health during the COVID-19 pandemic in young adults: A meta-analysis of 14 cross-sectional studies. BMC Public Health 22(1): 995. https://doi.org/10.1186/s12889-022-13409-0

Li JY, You Z, Wang Q, Zhou ZJ, Qiu Y, Luo R, Ge XY (2020) The epidemic of 2019-novel-coronavirus (2019-nCoV) pneumonia and insights for emerging infectious diseases in the future. Microbes Infect 22(2): 80–85. https://doi.org/10.1016/j.micinf.2020.02.002

Manchia M, Gathier AW, Yapici-Eser H, Schmidt MV, de Quervain D, van Amelsvoort T, Bisson JI, Cryan JF, Howes OD, Pinto L, van der Wee NJ, Domschke K, Branchi I, Vinkers CH (2022) The impact of the prolonged COVID-19 pandemic on stress resilience and mental health: A critical review across waves. Eur Neuropsychopharmacol 55: 22–83. https://doi.org/10.1016/j.euroneuro.2021.10.864

Marciano L, Ostroumova M, Schulz PJ, Camerini AL (2022) Digital media use and adolescents’ mental health during the Covid-19 pandemic: A systematic review and meta-analysis. Front Public Health 9: 793868. https://doi.org/10.3389/fpubh.2021.793868

Mukhtazr S, Mukhtar S (2020) Mental health and psychological distress in people with diabetes during COVID-19. Metab Clin Exp 108: 154248. https://doi.org/10.1016/j.metabol.2020.154248

National Disaster Management Authority of Republic Indonesia (2020) Dashboard Situasi COVID-19 di Indonesia. [Cited 2020 April 25]. Available from: http://covid19.bnpb.go.id/

Neria Y, Sullivan GM (2011) Understanding the mental health effects of indirect exposure to mass trauma through the media. JAMA 306(12): 1374–1375. https://doi.org/10.1001/jama.2011.1358

Onieva-Zafra MD, Fernández-Muñoz JJ, Fernández-Martínez E, García-Sánchez FJ, Abreu-Sánchez A, Parra-Fernández ML (2020) Anxiety, perceived stress and coping strategies in nursing students: a cross-sectional, correlational, descriptive study. BMC Med Educ 20(1): 370. https://doi.org/10.1186/s12909-020-02294-z

Pérez-Fuentes MDC, Molero Jurado MDM, Oropesa Ruiz NF, Martos Martínez Á, Simón Márquez MDM, Herrera-Peco I, Gázquez Linares JJ (2020) Questionnaire on perception of threat from COVID-19. J Clin Med 9(4):1196. https://doi.org/10.3390/jcm9041196

Rakhmawati W, Kosasih CE, Widiasih R, Suryani S, Arifin H (2021) Internet addiction among male adolescents in Indonesia: A qualitative study. Am J Mens Health 15(3); 15579883211029459. https://doi.org/10.1177/15579883211029459

Riehm KE, Feder KA, Tormohlen KN, Crum RM, Young AS, Green KM, Pacek LR, La Flair LN, Mojtabai R (2019) Associations between time spent using social media and internalizing and externalizing problems among US youth. JAMA Psychiatry 76(12): 1266–1273. https://doi.org/10.1001/jamapsychiatry.2019.2325

Sapra A, Bhandari P, Sharma S, Chanpura T, Lopp L (2020) Using Generalized Anxiety Disorder-2 (GAD-2) and GAD-7 in a primary care setting. Cureus 12(5): e8224. https://doi.org/10.7759/cureus.8224

Satgas COVID-19 Indonesia (2020) Hoax Buster. [Cited 2020 April 25]. Available from:  https://covid19.go.id/p/hoax-buster

Spitzer RL, Kroenke K, Williams JB, Lowe B (2006) A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Medicine 166(10): 1092–1097. https://doi.org/10.1001/archinte.166.10.1092

Suratman LP (2018) Penggunaan Media Sosial oleh Digital Native. J Ilmu Komun 15(1): 47-60. https://doi.org/10.24002/jik.v15i1.1243

Topp CW, Østergaard SD, Søndergaard S, Bech P (2015) The WHO-5 Well-Being Index: A systematic review of the literature. Psychother Psychosom 84(3): 167–176. https://doi.org/10.1159/000376585

World Health Organization (2020a) Coronavirus Disease 2019 (COVID-19) Situation Report—64. 2020. [Cited 2020 April 20]. Available from: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200324-sitrep-64-covid-19.pdf?sfvrsn=723b221e_2

World Health Organization (2020b) Novel Coronavirus(2019-nCoV) Situation Report–20. [Cited 2020 April 25]. Available from: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200209-sitrep-20-ncov.pdf?sfvrsn=6f80d1b9_4

World Health Organization (2020c) WHO Director-General’s statement on IHR Emergency Committee on Novel Coronavirus (2019-nCoV). [Cited 2020 April 25]. Available from: https://www.who.int/dg/speeches/detail/who-director-general-s-statement-on-ihr-emergency-committee-on-novel-coronavirus-(2019-ncov)

Xie X, Xue Q, Yu Z, Zhu K, Liu Q, Zhang J, Song R (2020) Mental Health Status Among Children in Home Confinement During the Coronavirus Disease 2019 Outbreak in Hubei Province, China. JAMA Pediatr 174(9): 898-900. https://doi.org/10.1001/jamapediatrics.2020.1619

Xu WF PY, Chen BQ (2018) Assessment of anxiety and depression by self-rating scales of GAD-7 and PHQ-9 in cardiovascular outpatients (in Chinese). World Latest Med Inf 18(16): 12–14.

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