References
- Asibey, B. O., Agyemang, S., & Dankwah, A. B. (2017). The internet use for health information seeking among Ghanaian University students: A cross-sectional study. International Journal of Telemedicine and Applications, 2017, 1756473. https://doi.org/https://doi.org/10.1155/2017/1756473
- Bang, H., & Reio Jr, T. G. (2017). Examining the role of cynicism in the relationships between burnout and employee behavior. Journal of Work and Organizational Psychology, 33(3), 217–228. https://doi.org/https://doi.org/10.1016/j.rpto.2017.07.002
- Befort, C. A., Nazir, N., Engelman, K., & Choi, W. (2013). Fatalistic cancer beliefs and information sources among rural and urban adults in the USA. Journal of Cancer Education, 28(3), 521–526. https://doi.org/https://doi.org/10.1007/s13187-013-0496-7
- Brashers, E. (2001). Communication and uncertainty management. Journal of Communication, 51(3), 477–497. https://doi.org/https://doi.org/10.1111/j.1460-2466.2001.tb02892.x
- Chae, J., & Lee, C. J. (2019). The psychological mechanism underlying communication effects on behavioral intention: Focusing on affect and cognition in the cancer context. Communication Research, 46(5), 597–618. https://doi.org/https://doi.org/10.1177/0093650216644021
- Cheng, H., Sit, J. H., Twinn, S. F., Cheng, K. F., & Thorne, S. (2013). Coping with breast cancer survivorship in Chinese women: The role of fatalism or fatalistic voluntarism. Cancer Nursing, 36(3), 236–244. https://doi.org/https://doi.org/10.1097/NCC.0b013e31826542b2
- Ellwood, B. (2020, May 26). Social support and sense of belonging may protect against the psychological impact of COVID-19. PsyPost. https://www.psypost.org/2020/05/social-support-and-sense-of-belonging-may-protect-against-the-psychological-impact-of-covid-19-56873
- Eveland, W. P., & Morey, A. C. (2011). Challenges and opportunities of panel designs. In E. P. Bucy & R. L. Holbert (Eds.), Sourcebook for political communication research: Methods, measures, and analytical techniques (pp. 19–33). Routledge.
- Eysenbach, G., Powell, J., Englesakis, M., Rizo, C., & Stern, A. (2004). Health related virtual communities and electronic support groups: Systematic review of the effects of online peer to peer interactions. BMJ, 328(7449), 1166–1170. https://doi.org/https://doi.org/10.1136/bmj.328.7449.1166
- Farpour, H. R., Habibi, L., & Owji, S. H. (2017). Positive impact of social media use on depression in cancer patients. Asian Pacific Journal of Cancer Prevention, 18(11), 2985–2988. https://doi.org/https://doi.org/10.22034/APJCP.2017.18.11.2985
- Fergie, G., Hunt, K., & Hilton, S. (2016). Social media as a space for support: Young adults’ perspectives on producing and consuming user-generated content about diabetes and mental health. Social Science & Medicine, 170, 46–54. https://doi.org/https://doi.org/10.1016/j.socscimed.2016.10.006
- Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., Wang, Y., Fu, H., & Dai, J. (2020). Mental health problems and social media exposure during COVID-19 outbreak. PLoS ONE, 15(4), e0231924. https://doi.org/https://doi.org/10.1371/journal.pone.0231924
- Go, E., & You, K. H. (2018). Health-related online information seeking and behavioral outcomes: Fatalism and self-efficacy as mediators. Social Behavior and Personality, 46(5), 871–879. https://doi.org/https://doi.org/10.2224/sbp.6501
- Guo, S., Yu, X., Davis, E., Armstrong, R., Riggs, E., & Naccarella, L. (2020). Adolescent health literacy in Beijing and Melbourne: A cross-cultural comparison. International Journal of Environmental Research and Public Health, 17(4), 1242. https://doi.org/https://doi.org/10.3390/ijerph17041242
- Hoek, W., Schuurmans, J., Koot, H. M., & Cuijpers, P. (2012). Effects of internet-based guided self-help problem-solving therapy for adolescents with depression and anxiety: A randomized controlled trial. PLoS ONE, 7(8), e43485. https://doi.org/https://doi.org/10.1371/journal.pone.0043485
- Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/https://doi.org/10.1080/10705519909540118
- Husky, M. M., Kovess-Masfety, V., & Swendsen, J. D. (2020). Stress and anxiety among university students in France during COVID-19 mandatory confinement. Comprehensive Psychiatry, 102, 152191. https://doi.org/https://doi.org/10.1016/j.comppsych.2020.152191
- Jamieson, P. E., & Romer, D. (2008). Unrealistic fatalism in U.S. youth ages 14 to 22: Prevalence and characteristics. Journal of Adolescent Health, 42(2), 154–160. https://doi.org/https://doi.org/10.1016/j.jadohealth.2007.07.010
- Jiang, S., & Street, R. L. (2016). Pathway linking internet health information seeking to better health: A moderated mediation study. Health Communication, 32(8), 1024–1031. https://doi.org/https://doi.org/10.1080/10410236.2016.1196514
- Jimenez, T., Restar, A., Helm, P. J., Cross, R. I., Barath, D., & Arndt, J. (2020). Fatalism in the context of COVID-19: Perceiving coronavirus as a death sentence predicts reluctance to perform recommended preventive behaviors. SSM - Population Health, 11, 100615. https://doi.org/https://doi.org/10.1016/j.ssmph.2020.100615
- Kaparounaki, C. K., Patsali, M. E., Mousa, D. V., Papadopoulou, E. V., Papadopoulou, K. K., & Fountoulakis, K. N. (2020). University students’ mental health amidst the COVID-19 quarantine in Greece. Psychiatry Research, 290, 113111. https://doi.org/https://doi.org/10.1016/j.psychres.2020.113111
- Lee, C., Niederdeppe, J., & Freres, D. (2012). Socioeconomic disparities in fatalistic beliefs about cancer prevention and the internet. Journal of Communication, 62(6), 972–990. https://doi.org/https://doi.org/10.1111/j.1460-2466.2012.01683.x
- Li, T. M., & Wong, P. W. (2015). Youth social withdrawal behavior (hikikomori): A systematic review of qualitative and quantitative studies. Australian & New Zealand Journal of Psychiatry, 49(7), 595–609. https://doi.org/https://doi.org/10.1177/0004867415581179
- Li, Y., Chen, P. Y., Chen, F., & Wu, W. (2015). Roles of fatalism and parental support in the relationship between bullying victimization and bystander behaviors. School Psychology International, 36(3), 253–267. https://doi.org/https://doi.org/10.1177/0143034315569566
- Liu, P. L., & Jiang, S. (2021). Patient-centered communication mediates the relationship between health information acquisition and patient trust in physicians: A five-year comparison in China. Health Communication, 36(2), 207–216. https://doi.org/https://doi.org/10.1080/10410236.2019.1673948
- Loos, E., & Nijenhuis, J. (2020). Consuming fake news: A matter of age? The perception of political fake news stories in Facebook ads. In Q. Gao & J. Zhou (Eds.), International Conference on Human-Computer Interaction (pp. 69–88). Cham: Springer.
- Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2015). Giving too much social support: Social overload on social networking sites. European Journal of Information Systems, 24(5), 447–464. https://doi.org/https://doi.org/10.1057/ejis.2014.3
- McCoach, D. B. (2003). SEM isn’t just the Schoolwide enrichment model anymore: Structural equation modeling (SEM) in gifted education. Journal for the Education of the Gifted, 27(1), 36–61. https://doi.org/https://doi.org/10.1177/016235320302700104
- Nielsen. (2009). How teens use media. https://www.nielsen.com/wp-content/uploads/sites/3/2019/04/How-Teens-Use-Media.pdf
- Nieto, M., Romero, D., Ros, L., Zabala, C., Martínez, M., Ricarte, J. J., Serrano, J. P., & Latorre, J. M. (2019). Differences in coping strategies between young and older adults: The role of executive functions. The International Journal of Aging and Human Development, 90(1), 28–49. https://doi.org/https://doi.org/10.1177/0091415018822040
- Oh, S., Lee, S. Y., & Han, C. (2020). The effects of social media use on preventive behaviors during infectious disease outbreaks: The mediating role of self-relevant emotions and public risk perception. Health Communication. Advance online publication. https://doi.org/https://doi.org/10.1080/10410236.2020.1724639
- Pearlin, L. E., Menaghan, E. G., Lieberman, M. A., & Mullan, J. T. (1981). The stress process. Journal of Health and Social Behavior, 22(4), 337–356. https://doi.org/https://doi.org/10.2307/2136676
- Peng, W., Carcioppolo, N., Occa, A., Ali, K., Yang, Q., & Yang, F. (2021). Feel worried, overloaded, or fatalistic? The determinants of cancer uncertainty management preferences. Health Communication, 36(3), 347–360. https://doi.org/https://doi.org/10.1080/10410236.2019.1692489
- Powe, B. D., & Finnie, R. (2003). Cancer fatalism: The state of the science. Cancer Nursing, 26(6), 454–465. https://doi.org/https://doi.org/10.1097/00002820-200312000-00005
- Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42(1), 185–227. https://doi.org/https://doi.org/10.1080/00273170701341316
- Pretorius, C., Chambers, D., & Coyle, D. (2019). Young people’s online help-seeking and mental health difficulties: Systematic narrative review. Journal of Medical Internet Research, 21(11), e13873. https://doi.org/https://doi.org/10.2196/13873
- Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841–1848. https://doi.org/https://doi.org/10.1016/j.chb.2013.02.014
- Ramanadhan, S., Mendez, S. R., Rao, M., & Viswanath, K. (2013). Social media use by community-based organizations conducting health promotion: A content analysis. BMC Public Health, 13(1), 1129. https://doi.org/https://doi.org/10.1186/1471-2458-13-1129
- Roberts, R. E., Roberts, C. R., & Chen, I. G. (2000). Fatalism and risk of adolescent depression. Psychiatry, 63(3), 239–252. https://doi.org/https://doi.org/10.1080/00332747.2000.11024917
- Roseman, I. J. (1996). Appraisal determinants of emotions: Constructing a more accurate and comprehensive theory. Cognition & Emotion, 10(3), 241–278. https://doi.org/https://doi.org/10.1080/026999396380240
- Shen, L., Condit, C. M., & Wright, L. (2009). The psychometric property and validation of a fatalism scale. Psychology & Health, 24(5), 597–613. https://doi.org/https://doi.org/10.1080/08870440801902535
- Slater, M. D. (2007). Reinforcing spirals: The mutual influence of media selectivity and media effects and their impact on individual behavior and social identity. Communication Theory, 17(3), 281–303. https://doi.org/https://doi.org/10.1111/j.1468-2885.2007.00296.x
- Straughan, P. T., & Seow, A. (1998). Fatalism reconceptualized: A concept to predict health screening behavior. Journal of Gender, Culture, & Health, 3(2), 85–100. https://doi.org/https://doi.org/10.1023/A:1023278230797
- Street, R. L. (2003). Mediated consumer–provider communication in cancer care: The empowering potential of new technologies. Patient Education and Counseling, 50(1), 99–104. https://doi.org/https://doi.org/10.1016/S0738-3991(03)00089-2
- Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/https://doi.org/10.1207/s15516709cog1202_4
- Van Hoorn, A. (2014). Individualist–collectivist culture and trust radius. Journal of Cross-Cultural Psychology, 46(2), 269–276. https://doi.org/https://doi.org/10.1177/0022022114551053
- Wagner, G., Glick, P., Khamma-sh, U., Shaheen, M., Brown, R., Goutam, P., Karam, R., Linnemayr, S., & Massad, S. (2020). Exposure to violence and its relationship to mental health in Palestinian youth. Eastern Mediterranean Health Journal, 26(2), 189–197. https://doi.org/https://doi.org/10.26719/2020.26.2.189
- Ware, J. E., & Sherbourne, C. D. (1992). The MOS 36-ltem short-form health survey (SF-36). Medical Care, 30(6), 473–483. https://doi.org/https://doi.org/10.1097/00005650-199206000-00002
- Wen, Z., Geng, X., & Ye, Y. (2016). Does the use of WeChat lead to subjective well-being?: The effect of use intensity and motivations. Cyberpsychology, Behavior and Social Networking, 19(10), 587–592. https://doi.org/https://doi.org/10.1089/cyber.2016.0154
- World Health Organisation. (2016). The role of governments in promoting health literacy. World Health Organization. https://www.who.int/healthpromotion/conferences/9gchp/health-literacy-government-role/en/
- Yoo, W., Yang, J., & Cho, E. (2016). How social media influence college students’ smoking attitudes and intentions. Computers in Human Behavior, 64, 173–182. https://doi.org/https://doi.org/10.1016/j.chb.2016.06.061
- Zhu, M., Cai, W., Li, L., Guo, Y., Monroe-Wise, A., Li, Y., Zeng, C., Qiao, J., Xu, Z., Zhang, H., Zeng, Y., & Liu, C. (2019). Mediators of intervention effects on depressive symptoms among people living with HIV: Secondary analysis of a mobile health randomized controlled trial using latent growth curve modeling. JMIR mHealth and uHealth, 7(11), e15489. https://doi.org/https://doi.org/10.2196/15489
- Zillmann, D. (1988). Mood management: Using entertainment to full advantage. In L. Donohew, H. E. Sypher, & E. T. Higgins (Eds.), Communication Social Cognition, and Affect (pp. 147–171). Lawrence Erlbaum Associates.