Abstract
Numerous studies have discussed the relationship between boredom proneness and mobile phone addiction based on cross-sectional data. However, the direction of the link between these two constructs remains unknown. The current study intended to explore the longitudinal relationship between boredom proneness and mobile phone addiction by conducting a cross-lagged analysis. Three hundred and fifty-two Chinese college students (55.1% female) completed questionnaires assessing boredom proneness and mobile phone addiction twice with an interval of 8 months. The cross-lagged analyses suggested that boredom proneness and mobile phone addiction are mutually influenced, and mobile phone addiction is a stronger predictor of boredom proneness than the other way around. Besides, the multi-group analysis demonstrated that the bidirectional relationship remained consistent across gender. Given the vicious circle between these two constructs, schools should pay close attention to preventive education and counseling for college students’ boredom proneness and mobile phone addiction.
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Data Availability
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
References
Biolcati, R., Mancini, G., & Trombini, E. (2018). Proneness to boredom and risk behaviors during adolescents’ free time. Psychological Reports, 121(2), 303–323. https://doi.org/10.1177/0033294117724447.
Chou, W. J., Chang, Y. P., & Yen, C. F. (2018). Boredom proneness and its correlation with internet addiction and internet activities in adolescents with attention-deficit/hyperactivity disorder. The Kaohsiung Journal of Medical Sciences, 34(8), 467–474. https://doi.org/10.1016/j.kjms.2018.01.016.
CINIC, 2020. The 46th statistical report on internet development in China (2020, September). Retrieved October 23. http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/202009/t20200929_71257.htm
Coyne, S. M., Stockdale, L., & Summers, K. (2019). Problematic cell phone use, depression, anxiety, and self-regulation: Evidence from a three-year longitudinal study from adolescence to emerging adulthood. Computers in Human Behavior, 96, 78–84. https://doi.org/10.1016/j.chb.2019.02.014.
De Chenne, T. K. (1988). Boredom as a clinical issue. Psychotherapy: Theory, Research, Practice, Training, 25(1), 71–81. https://doi.org/10.1037/H0085325.
De-Sola Gutiérrez, J., Rodríguez de Fonseca, F., & Rubio, G. (2016). Cell-phone addiction: A review. Frontiers in Psychiatry, 7, 175. https://doi.org/10.3389/FPSYT.2016.00175.
Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders, 207, 251–259. https://doi.org/10.1016/J.JAD.2016.08.030.
Elhai, J. D., Levine, J. C., Alghraibeh, A. M., Alafnan, A. A., Aldraiweesh, A. A., & Hall, B. J. (2018a). Fear of missing out: Testing relationships with negative affectivity, online social engagement, and problematic smartphone use. Computers in Human Behavior, 89, 289–298. https://doi.org/10.1016/J.CHB.2018.08.020.
Elhai, J. D., Vasquez, J. K., Lustgarten, S. D., Levine, J. C., & Hall, B. J. (2018b). Proneness to boredom mediates relationships between problematic smartphone use with depression and anxiety severity. Social Science Computer Review, 36(6), 707–720. https://doi.org/10.1177/0894439317741087.
Elhai, J. D., Levine, J. C., & Hall, B. J. (2019). The relationship between anxiety symptom severity and problematic smartphone use: A review of the literature and conceptual frameworks. Journal of Anxiety Disorders, 62, 45–52. https://doi.org/10.1016/J.JANXDIS.2018.11.005.
Gana, K., Broc, G., & Bailly, N. (2019). Does the boredom proneness scale capture traitness of boredom? Results from a six-year longitudinal trait-state-occasion model. Personality and Individual Differences, 139, 247–253. https://doi.org/10.1016/J.PAID.2018.11.030.
Gentile, D. A., Swing, E. L., Lim, C. G., & Khoo, A. (2012). Video game playing, attention problems, and impulsiveness: Evidence of bidirectional causality. Psychology of Popular Media Culture, 1(1), 62–70. https://doi.org/10.1037/A0026969.
Hong, W., Liu, R. D., Ding, Y., Sheng, X., & Zhen, R. (2020). Mobile phone addiction and cognitive failures in daily life: The mediating roles of sleep duration and quality and the moderating role of trait self-regulation. Addictive Behaviors, 107, 106383. https://doi.org/10.1016/j.addbeh.2020.106383.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118.
Jun, S. (2016). The reciprocal longitudinal relationships between mobile phone addiction and depressive symptoms among Korean adolescents. Computers in Human Behavior, 58, 179–186. https://doi.org/10.1016/J.CHB.2015.12.061.
Kim, J., LaRose, R., & Peng, W. (2009). Loneliness as the cause and the effect of problematic internet use: The relationship between internet use and psychological well-being. Cyberpsychology, Behavior and Social Networking, 12(4), 451–455. https://doi.org/10.1089/CPB.2008.0327.
Kim, J. H., Seo, M., & David, P. (2015). Alleviating depression only to become problematic mobile phone users: Can face-to-face communication be the antidote? Computers in Human Behavior, 51, 440–447. https://doi.org/10.1016/J.CHB.2015.05.030.
Kim, J., Oh, G., & Siennick, S. E. (2018). Unravelling the effect of cell phone reliance on adolescent self-control. Children and Youth Services Review, 87, 78–85. https://doi.org/10.1016/J.CHILDYOUTH.2018.02.022.
Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T., & Scherlis, W. (1998). Internet paradox: A social technology that reduces social involvement and psychological well-being? American Psychologist, 53(9), 1017–1031. https://doi.org/10.1037/0003-066X.53.9.1017.
Lee, F. K., & Zelman, D. C. (2019). Boredom proneness as a predictor of depression, anxiety and stress: The moderating effects of dispositional mindfulness. Personality and Individual Differences, 146, 68–75. https://doi.org/10.1016/J.PAID.2019.04.001.
Martin, M., Sadlo, G., & Stew, G. (2006). The phenomenon of boredom. Qualitative Research in Psychology, 3(3), 193–211 https://doi.org/10.1191/1478088706QRP066OA.
Martínez-Vispo, C., Senra, C., López-Durán, A., del Río, E. F., & Becoña, E. (2019). Boredom susceptibility as predictor of smoking cessation outcomes: Sex differences. Personality and Individual Differences, 146, 130–135. https://doi.org/10.1016/J.PAID.2019.03.026.
Mercer-Lynn, K. B., Bar, R. J., & Eastwood, J. D. (2014). Causes of boredom: The person, the situation, or both? Personality and Individual Differences, 56, 122–126. https://doi.org/10.1016/J.PAID.2013.08.034.
Ng, K. C., Wu, L. H., Lam, H. Y., Lam, L. K., Nip, P. Y., Ng, C. M., Leung, K. C., & Leung, S. F. (2020). The relationships between mobile phone use and depressive symptoms, bodily pain, and daytime sleepiness in Hong Kong secondary school students. Addictive Behaviors, 101, 105975. https://doi.org/10.1016/j.addbeh.2019.04.033.
Oviedo-Trespalacios, O., Nandavar, S., Newton, J. D. A., Demant, D., & Phillips, J. G. (2019). Problematic use of mobile phones in Australia… is it getting worse? Frontiers in Psychiatry, 10, 105. https://doi.org/10.3389/fpsyt.2019.00105.
Peper, E., & Harvey, R. (2018). Digital addiction: Increased loneliness, anxiety, and depression. NeuroRegulation, 5(1), 3–8. https://doi.org/10.15540/NR.5.1.3.
Salamone, J. D., & Correa, M. (2012). The mysterious motivational functions of mesolimbic dopamine. Neuron, 76(3), 470–485. https://doi.org/10.1016/J.NEURON.2012.10.021.
Struk, A. A., Scholer, A. A., & Danckert, J. (2016). A self-regulatory approach to understanding boredom proneness. Cognition and Emotion, 30(8), 1388–1401. https://doi.org/10.1080/02699931.2015.1064363.
Struk, A. A., Carriere, J. S., Cheyne, J. A., & Danckert, J. (2017). A short boredom proneness scale: Development and psychometric properties. Assessment, 24(3), 346–359. https://doi.org/10.1177/1073191115609996.
Sundberg, N. D., Latkin, C. A., Farmer, R. F., & Saoud, J. (1991). Boredom in young adults: Gender and cultural comparisons. Journal of Cross-Cultural Psychology, 22(2), 209–223. https://doi.org/10.1177/0022022191222003.
Thomée, S., Härenstam, A., & Hagberg, M. (2011). Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults-a prospective cohort study. BMC Public Health, 11(1), 66. https://doi.org/10.1186/1471-2458-11-66.
Twenge, J. M., & Martin, G. N. (2020). Gender differences in associations between digital media use and psychological well-being: Evidence from three large datasets. Journal of Adolescence, 79, 91–102. https://doi.org/10.1016/J.ADOLESCENCE.2019.12.018.
Twenge, J. M., Cooper, A. B., Joiner, T. E., Duffy, M. E., & Binau, S. G. (2019). Age, period, and cohort trends in mood disorder indicators and suicide-related outcomes in a nationally representative dataset, 2005-2017. Journal of Abnormal Psychology, 128(3), 185–199. https://doi.org/10.1037/ABN0000410.
Wegmann, E., Ostendorf, S., & Brand, M. (2018). Is it beneficial to use internet-communication for escaping from boredom? Boredom proneness interacts with cue-induced craving and avoidance expectancies in explaining symptoms of internet-communication disorder. PLoS One, 13(4), e0195742. https://doi.org/10.1371/JOURNAL.PONE.0195742.
Wise, R. A., & Robble, M. A. (2020). Dopamine and addiction. Annual Review of Psychology, 71(1), 79–106. https://doi.org/10.1146/ANNUREV-PSYCH-010418-103337.
Xiong, J., Zhou, Z. K., Chen, W., You, Z. Q., & Zhai, Z. Y. (2012). Development of the mobile phone addiction tendency for college students. Chinese Mental Health Journal, 26(3), 222–225. https://doi.org/10.3969/j.issn.1000-6729.2012.03.013.
Yang, X. J., Liu, Q. Q., Lian, S. L., & Zhou, Z. K. (2020). Are bored minds more likely to be addicted? The relationship between boredom proneness and problematic mobile phone use. Addictive Behaviors, 108, 106426. https://doi.org/10.1016/j.addbeh.2020.106426.
You, Z. Q., Zhang, Y. R., Zhang, L., Xu, Y., & Chen, X. L. (2019). How does self-esteem affect mobile phone addiction? The mediating role of social anxiety and interpersonal sensitivity. Psychiatry Research, 271, 526–531. https://doi.org/10.1016/J.PSYCHRES.2018.12.040.
Zhang, Y. L., Lu, G. Z., Jin, T. L., Li, S., Jiang, H. B., & Liang, L. (2018). The effect of college students’ mobile phone addiction tendency on their interpersonal adaptability: The intermediary role of alexithymia. Chinese Journal of Special Education, 2, 83–88.
Zhang, Y. L., Li, S., & Yu, G. L. (2019). The relationship between boredom proneness and cognitive failures:The mediating role of mobile phone addiction tendency and its difference between only and nononly child family. Psychological Development and Education, 35(3), 344–351. https://doi.org/10.16187/j.cnki.issn1001-4918.2019.03.1.
Zhang, G. H., Yang, X., Tu, X. L., Ding, N. N., & Lau, J. T. F. (2020). Prospective relationships between mobile phone dependence and mental health status among Chinese undergraduate students with college adjustment as a mediator. Journal of Affective Disorders, 260, 498–505. https://doi.org/10.1016/j.jad.2019.09.047.
Zuckerman, M., Eysenck, S., & Eysenck, H. J. (1978). Sensation seeking in England and America: Cross-cultural, age, and sex comparisons. Journal of Consulting and Clinical Psychology, 46(1), 139–149. https://doi.org/10.1037/0022-006X.46.1.139.
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This work was supported by the National Natural Science Foundation of China [81571337].
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Zhang, Y., Li, S. & Yu, G. The longitudinal relationship between boredom proneness and mobile phone addiction: Evidence from a cross-lagged model. Curr Psychol 41, 8821–8828 (2022). https://doi.org/10.1007/s12144-020-01333-8
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DOI: https://doi.org/10.1007/s12144-020-01333-8