A Reasoned Action Approach to Limiting Excessive Social Media Usage Among Adults

References

• Abeele, M. M. V., Antheunis, M. L., & Schouten, A. P. (2016). The effect of mobile messaging during a conversation on impression formation and interaction quality. Computers in Human Behavior, 62, 562–569. https://doi.org/10.1016/j.chb.2016.04.005
   Web of Science ®Google Scholar
• Abel, J. P., Buff, C. L., & Burr, S. A. (2016). Social media and the fear of missing out: Scale development and assessment. Journal of Business & Economics Research (JBER), 14(1), 33–44. https://doi.org/10.19030/jber.v14i1.9554
   Google Scholar
• Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckman (Eds.), Action-Control: From cognition to behavior (pp. 11–39). Springer-Verlag. https://doi.org/10.1016/0749-5978(91)90020-T
   Google Scholar
• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-t
   Web of Science ®Google Scholar
• Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324. https://doi.org/10.1002/hbe2.195
   Google Scholar
• Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Prentice Hall.
   Google Scholar
• Anderson, M., & Jiang, J. (2018). Teens, social media & technology 2018. Pew Research Center, 31 (2018), 1673–1689.
   Google Scholar
• Appel, H., Gerlach, A. L., & Crusius, J. (2016). The interplay between Facebook use, social comparison, envy, and depression. Current Opinion in Psychology, 9, 44–49. https://doi.org/10.1016/j.copsyc.2015.10.006
   Web of Science ®Google Scholar
• Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A meta‐analytic review. British Journal of Social Psychology, 40(4), 471–499. https://doi.org/10.1348/014466601164939
   PubMed Web of Science ®Google Scholar
• Balliet, D., Wu, J., & De Dreu, C. K. (2014). Ingroup favoritism in cooperation: A meta-analysis. Psychological Bulletin, 140(6), 1556–1581. https://doi.org/10.1037/a0037737
   PubMed Web of Science ®Google Scholar
• Bandura, A. (1977). Self-Efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191. https://doi.org/10.1037/0033-295X.84.2.191
   PubMed Web of Science ®Google Scholar
• Bashir, H., & Bhat, S. A. (2017). Effects of social media on mental health: A review. The International Journal of Indian Psychology, 4(3), 125–131. https://doi.org/10.25215/0403.134
   Google Scholar
• Codd, R. T., & Cohen, B. N. (2003). Predicting college student intention to seek help for alcohol abuse. Journal of Social and Clinical Psychology, 22(2), 168–191. https://doi.org/10.1521/jscp.22.2.168.22877
   Web of Science ®Google Scholar
• Cooke, R., & French, D. P. (2008). How well do the theory of reasoned action and theory of planned behaviour predict intentions and attendance at screening programmes? A meta-analysis. Psychology & Health, 23(7), 745–765. https://doi.org/10.1080/08870440701544437
   PubMed Web of Science ®Google Scholar
• Coyne, S. M., Rogers, A. A., Zurcher, J. D., Stockdale, L., & Booth, M. (2020). Does time spent using social media impact mental health?: An eight year longitudinal study. Computers in Human Behavior, 104, 106160. https://doi.org/10.1016/j.chb.2019.106160
   Web of Science ®Google Scholar
• Dillard, J. P. (2011). An application of the integrative model to women’s intention to be vaccinated against HPV: Implications for message design. Health Communication, 26(5), 479–486. https://doi.org/10.1080/10410236.2011.554170
   PubMed Web of Science ®Google Scholar
• Fang, C., & Zhang, J. (2019). Users’ continued participation behavior in social Q&A communities: A motivation perspective. Computers in Human Behavior, 92(2), 87–109. https://doi.org/10.1016/j.chb.2018.10.036
   Google Scholar
• 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), 161–170. https://doi.org/10.1037/a0033111
   Google Scholar
• Fishbein, M., & Ajzen, I. (2010). Predicting and changing behavior: The reasoned action approach. Taylor & Francis.
   Google Scholar
• Frison, E., & Eggermont, S. (2016). Exploring the relationships between different types of Facebook use, perceived online social support, and adolescents’ depressed mood. Social Science Computer Review, 34(2), 153–171. https://doi.org/10.1177/0894439314567449
   Web of Science ®Google Scholar
• Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., Wang, Y., Fu, H., Dai, J., & Hashimoto, K. (2020). Mental health problems and social media exposure during COVID-19 outbreak. PLoS ONE, 15(4), e0231924. https://doi.org/10.1371/journal.pone.0231924
   PubMed Web of Science ®Google Scholar
• Guo, Q., Johnson, C. A., Unger, J. B., Lee, L., Xie, B., Chou, C. P., Pentz, M., Sun, P., Gallaher, P., & Pentz, M. (2007). Utility of the theory of reasoned action and theory of planned behavior for predicting Chinese adolescent smoking. Addictive Behaviors, 32(5), 1066–1081. https://doi.org/10.1016/j.addbeh.2006.07.015
   PubMed Web of Science ®Google Scholar
• Holbert, R. L., & Stephenson, M. T. (2008). Commentary on the uses and misuses of structural equation modeling in communication research. In A. F. Hayes, M. D. Slater & L. B. Snyder (Eds.), The SAGE sourcebook of advanced data analysis methods for communication research (pp. 185–218). Sage. https://doi.org/10.4135/9781452272054.n7
   Google Scholar
• Hou, Y., Xiong, D., Jiang, T., Song, L., & Wang, Q. (2019). Social media addiction: Its impact, mediation, and intervention. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 13(1). https://doi.org/10.5817/cp2019-1-4
   Google Scholar
• Hunt, M. G., Marx, R., Lipson, C., & Young, J. (2018). No more FOMO: Limiting social media decreases loneliness and depression. Journal of Social and Clinical Psychology, 37(10), 751–768. https://doi.org/10.1521/jscp.2018.37.10.751
   Web of Science ®Google Scholar
• Jiang, S., & Ngien, A. (2020). The effects of Instagram use, social comparison, and self-esteem on social anxiety: A survey study in Singapore. Social Media + Society, 6(2), 1–10. https://doi.org/10.1177/2056305120912488
   Web of Science ®Google Scholar
• Kadylak, T. (2020). An investigation of perceived family phubbing expectancy violations and well-being among US older adults. Mobile Media & Communication, 8(2), 247–267. https://doi.org/10.1177/2050157919872238
   Web of Science ®Google Scholar
• Keles, B., McCrae, N., & Grealish, A. (2020). A systematic review: The influence of social media on depression, anxiety and psychological distress in adolescents. International Journal of Adolescence and Youth, 25(1), 79–93. https://doi.org/10.1080/02673843.2019.1590851
   Web of Science ®Google Scholar
• Kelly, Y., Zilanawala, A., Booker, C., & Sacker, A. (2018). Social media use and adolescent mental health: Findings from the UK Millennium Cohort Study. EClinicalMedicine, 6, 59–68. https://doi.org/10.1016/j.eclinm.2018.12.005
   PubMedGoogle Scholar
• Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). The Guilford Press.
   Google Scholar
• La Barbera, F., & Ajzen, I. (2021). Moderating role of perceived behavioral control in the theory of planned behavior: A preregistered study. Journal of Theoretical Social Psychology, 5(1), 35–45. https://doi.org/10.1002/jts5.83
   Google Scholar
• Lee, J., Ham, C.-D., & Kim, M. (2013). Why people pass along online video advertising: From the perspectives of the interpersonal communication motives scale and the theory of reasoned action. Journal of Interactive Advertising, 13(1), 1–13. https://doi.org/10.1080/15252019.2013.768048
   Google Scholar
• Lee, H.-R., Lee, H. E., Choi, J., Kim, J. H., & Han, H. L. (2014). Social media use, body image, and psychological well-being: A cross-cultural comparison of Korea and the United States. Journal of Health Communication, 19(12), 1343–1358. https://doi.org/10.1080/10810730.2014.904022
   PubMed Web of Science ®Google Scholar
• 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. https://doi.org/10.1002/da.22466
   PubMed Web of Science ®Google Scholar
• Litchfield, R., & White, K. (2006). Young adults’ willingness and intentions to use amphetamines: An application of the theory of reasoned action. E-Journal of Applied Psychology, 2(1), 45–51. https://doi.org/10.7790/ejap.v2i1.34
   Google Scholar
• Li, J., Zuo, J., Cai, H., & Zillante, G. (2018). Construction waste reduction behavior of contractor employees: An extended theory of planned behavior model approach. Journal of Cleaner Production, 172, 1399–1408. https://doi.org/10.1016/j.jclepro.2017.10.138
   Web of Science ®Google Scholar
• Madden, T. J., Ellen, P. S., & Ajzen, I. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality & Social Psychology Bulletin, 18(1), 3–9. https://doi.org/10.1177/0146167292181001
   Web of Science ®Google Scholar
• Martinez, L. S., & Lewis, N. (2016). The moderated influence of perceived behavioral control on intentions among the general U.S. population: Implications for public communication campaigns. Journal of Health Communication, 21(9), 1006–1015. https://doi.org/10.1080/10810730.2016.1204378
   PubMed Web of Science ®Google Scholar
• McDermott, M. S., Oliver, M., Svenson, A., Simnadis, T., Beck, E. J., Coltman, T., Sharma, R., Caputi, P., & Sharma, R. (2015). The theory of planned behaviour and discrete food choices: A systematic review and meta-analysis. The International Journal of Behavioral Nutrition and Physical Activity, 12(1), 1–11. https://doi.org/10.1186/s12966-015-0324-z
   PubMedGoogle Scholar
• McDougall, M. A., Walsh, M., Wattier, K., Knigge, R., Miller, L., Stevermer, M., & Fogas, B. S. (2016). The effect of social networking sites on the relationship between perceived social support and depression. Psychiatry Research, 246, 223–229. https://doi.org/10.1016/j.psychres.2016.09.018
   PubMed Web of Science ®Google Scholar
• McEachan, R. R. C., Conner, M., Taylor, N. J., & Lawton, R. J. (2011). Prospective prediction of health-related behaviours with the theory of planned behaviour: A meta-analysis. Health Psychology Review, 5(2), 97–144. https://doi.org/10.1080/17437199.2010.521684
   Web of Science ®Google Scholar
• Mehdizadeh, S. (2010). Self-Presentation 2.0: Narcissism and self-esteem on Facebook. Cyberpsychology, Behavior and Social Networking, 13(4), 357–364. https://doi.org/10.1089/cyber.2009.0257
   PubMed Web of Science ®Google Scholar
• Ngien, A., & Jiang, S. (2021). The effect of social media on stress among young adults during COVID-19 pandemic: Taking into account fatalism and social media exhaustion. Health Communication, 37(10), 1337–1344. https://doi.org/10.1080/10410236.2021.1888438
   PubMed Web of Science ®Google Scholar
• O’Reilly, M., Dogra, N., Whiteman, N., Hughes, J., Eruyar, S., & Reilly, P. (2018). Is social media bad for mental health and wellbeing? Exploring the perspectives of adolescents. Clinical Child Psychology and Psychiatry, 23(4), 601–613. https://doi.org/10.1177/1359104518775154
   PubMed Web of Science ®Google Scholar
• Pew Research Center. (2021). Social Media Fact Sheet. https://www.pewresearch.org/internet/fact-sheet/social-media/
   Google Scholar
• Powe, B. D., & Finnie, R. (2003). Cancer fatalism. Cancer Nursing, 26(6). https://doi.org/10.1097/00002820-200312000-00005
   PubMed Web of Science ®Google Scholar
• 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. https://doi.org/10.1016/j.chb.2016.11.013
   Web of Science ®Google Scholar
• Roberts, J. A., Yaya, L. H., & Manolis, C. (2014). The invisible addiction: Cell-phone activities and addiction among male and female college students. Journal of Behavioral Addictions, 3(4), 254–265. https://doi.org/10.1556/jba.3.2014.015
   PubMed Web of Science ®Google Scholar
• Shensa, A., Escobar-Viera, C. G., Sidani, J. E., Bowman, N. D., Marshal, M. P., & Primack, B. (2017). Problematic social media use and depressive symptoms among US young adults: A nationally-representative study. Social Science & Medicine, 182, 150–157. https://doi.org/10.1016/j.socscimed.2017.03.061
   PubMed Web of Science ®Google Scholar
• Sherlock, M., & Wagstaff, D. L. (2019). Exploring the relationship between frequency of Instagram use, exposure to idealized images, and psychological well-being in women. Psychology of Popular Media Culture, 8(4), 482–490. https://doi.org/10.1037/ppm0000182
   Web of Science ®Google Scholar
• Thrasher, R. G., Andrew, D. P., & Mahony, D. F. (2011). The efficacy of a modified theory of reasoned action to explain gambling behavior in college students. Journal of Gambling Studies, 27(3), 499–516. https://doi.org/10.1007/s10899-010-9215-z
   PubMed Web of Science ®Google Scholar
• Tsao, S.-F., Chen, H., Tisseverasinghe, T., Yang, Y., Li, L., & Butt, Z. A. (2021). What social media told us in the time of covid-19: A scoping review. The Lancet Digital Health, 3(3). https://doi.org/10.1016/s2589-7500(20)30315-0
   PubMedGoogle Scholar
• van der Schuur, W. A., Baumgartner, S. E., & Sumter, S. R. (2019). Social media use, social media stress, and sleep: Examining cross-sectional and longitudinal relationships in adolescents. Health Communication, 34(5), 552–559. https://doi.org/10.1080/10410236.2017.1422101
   PubMed Web of Science ®Google Scholar
• Vannucci, A., Flannery, K. M., & Ohannessian, C. M. (2017). Social media use and anxiety in emerging adults. Journal of Affective Disorders, 207, 163–166. https://doi.org/10.1016/j.jad.2016.08.040
   PubMed Web of Science ®Google Scholar
• Vogel, E. A., Rose, J. P., Roberts, L. R., & Eckles, K. (2014). Social comparison, social media, and self-esteem. Psychology of Popular Media Culture, 3(4), 206–310.
   Google Scholar
• White, K. M., Smith, J. R., Terry, D. J., Greenslade, J. H., & McKimmie, B. M. (2009). Social influence in the theory of planned behaviour: The role of descriptive, injunctive, and in‐ group norms. British Journal of Social Psychology, 48(1), 135–158. https://doi.org/10.1348/014466608X295207
   PubMed Web of Science ®Google Scholar
• 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(1), 41–49. https://doi.org/10.1016/j.adolescence.2016.05.008
   PubMedGoogle Scholar
• Xiao, X., & Wong, R. M. (2020). Vaccine hesitancy and perceived behavioral control: A meta-analysis. Vaccine, 38(33), 5131–5138. https://doi.org/10.1016/j.vaccine.2020.04.076
   PubMed Web of Science ®Google Scholar
• Yzer, M. (2007). Does perceived control moderate attitudinal and normative effects on intention? A review of conceptual and methodological issues. In I. Ajzen, D. Albarracín & R. Hornik (Eds.), Prediction and change of health behavior: Applying the reasoned action approach (pp. 111–127). Lawrence Erlbaum Associates Publishers.
   Google Scholar
• Yzer, M. (2013). Reasoned action theory: Persuasion as belief-based behavior change. In J. P. Dillard & L. J. Shen (Eds.), The SAGE handbook of persuasion: Developments in theory and practice (2nd ed., pp. 120–136). Sage.
   Google Scholar
• Yzer, M., & van den Putte, B. (2014). Control perceptions moderate attitudinal and normative effects on intention to quit smoking. Psychology of Addictive Behaviors, 28(4), 1153–1161. https://doi.org/10.1037/a0037924
   PubMed Web of Science ®Google Scholar