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研究生: 徐靜怡
Xu, Jing-Yi
論文名稱: 北台灣青少年自覺壓力與手機成癮之關係: 以憂鬱情緒作為中介因子
The relationship between perceived stress and smartphone addiction among adolescents in northern Taiwan: Depressed mood as a mediator
指導教授: 吳文琪
Wu, Wen-Chi
口試委員: 聶西平
Nieh, His-Ping
張齡尹
Chang, Ling-Yin
吳文琪
Wu, Wen-Chi
口試日期: 2022/12/12
學位類別: 碩士
Master
系所名稱: 健康促進與衛生教育學系健康促進與衛生教育碩士在職專班
Department of Health Promotion and Health Education_Continuing Education Master's Program of Health Promotion and Health Education
論文出版年: 2023
畢業學年度: 111
語文別: 中文
論文頁數: 57
中文關鍵詞: 自覺壓力憂鬱情緒手機成癮中介因子
英文關鍵詞: perceived stress, smartphone addiction, mediating effect, depressed mood
研究方法: 縱貫性研究
DOI URL: http://doi.org/10.6345/NTNU202300049
論文種類: 學術論文
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  • 研究目的:瞭解北臺灣青少年早期自覺壓力與後期手機成癮之間的關係,並詳細了解憂鬱情緒是否為自覺壓力與手機成癮之間的中介因子。研究方法:本研究採取縱貫性研究,研究對象為新北市及桃園市108學年度的國高中職一年級生,每學期調查一次,進行三學期的追蹤,共762名學生參與完整三波調查。本研究以PROCESS模式進行統計分析。研究結果:研究樣本的第一波自覺壓力與第三波的手機成癮行為呈現直接正相關。在控制第一波手機成癮情況下,第二波憂鬱情緒在第一波自覺壓力與第三波手機成癮之間,作為部分中介因子。表示自覺壓力較高者,下一時點之憂鬱情緒亦較高,且可顯著預測第三波的手機成癮程度。研究結論:青少年承受的壓力,會導致憂鬱情緒,且提高手機成癮的程度。建議未來在研擬預防青少年手機成癮的策略時,應考慮其壓力程度與憂鬱狀況。

    Objectives: This study aims to understand the relationship between perceived stress and succeeding smartphone addiction among adolescents in northern Taiwan., and to investigate whether the level of depressed mood has a mediating effect between perceived stress and smartphone addiction. Methods: The data came from a longitudinal study that followed 7th and 10th graders in New Taipei City and Taoyuan City for three semesters. A total of 762 students participated in the three waves of surveys and provided complete data. The PROCESS module was conducted to examine the mediation effect. Results: The first-wave perceived stress was directly and positively correlated with the third-wave smartphone addiction. After controlling the first-wave smartphone addiction and background factors, the second-wave depressed mood partially mediated between the first-wave perceived stress and the third-wave smartphone addiction. Students who perceive more stress will be more likely to have a higher depressed mood at the next time point, which can significantly lead to a higher degree of smartphone addiction in the third wave. Conclusions: Adolescents' perceived stress can lead to depressed mood and increase smartphone addiction. It is suggested that when developing strategies to prevent smartphone addiction in adolescents, their levels of perceived stress and depressed mood should be considered.

    致謝詞 I 中文摘要 II 英文摘要 III 目次 IV 表次 VIII 第一章 緒論 1 第一節 研究動機與重要性 1 第二節 研究目的及研究問題 3 第三節 名詞界定 4 第二章 文獻探討 5 第一節 手機成癮 5 一、 手機成癮的定義 5 二、 手機成癮的測量工具 5 三、 青少年手機成癮的情況 6 第二節 自覺壓力 7 一、 自覺壓力的定義 7 二、 自覺壓力的測量工具 8 三、 青少年自覺壓力的情況 8 四、 自覺壓力與手機成癮的相關研究 9 第三節 憂鬱情緒 10 一、 憂鬱情緒的定義 10 二、 憂鬱情緒的測量工具 10 三、 青少年憂鬱情緒的情況 11 四、 憂鬱情緒與手機成癮的相關研究 12 五、 自覺壓力與憂鬱情緒的相關研究 12 第四節 相關理論 13 一、 一般緊張化理論 13 二、 個人-情感-認知-執行功能的交互理論 14 第五節 憂鬱情緒在自覺壓力與手機成癮間所扮演的中介效果 16 第六節 與手機成癮、自覺壓力及憂鬱情緒有關的背景因素 17 一、 性別 17 二、 年級 17 三、 學校區域 17 四、 學業成績 18 五、 父母教育程度 18 六、 父母婚姻狀況 18 第七節 知識缺口 19 第三章 研究方法 20 第一節 研究架構與假設 20 一、 研究架構 20 二、 研究假設 21 第二節 研究對象 23 第三節 研究工具 24 一、手機成癮量表 24 二、自覺壓力量表 24 三、憂鬱情緒量表 25 四、背景因素 25 第四節 研究步驟 26 一、行政聯繫 26 二、問卷施測 26 三、問卷回收與整理 26 第五節 資料處理與分析 27 一、描述性統計分析 27 二、推論統計分析 27 第四章 研究結果 29 第一節 樣本特性 29 第二節 自覺壓力、憂鬱情緒、手機成癮與背景變項之關係 31 一、自覺壓力、憂鬱情緒與手機成癮在性別的分布情況 31 二、自覺壓力、憂鬱情緒與手機成癮在年級的分布情況 31 三、自覺壓力、憂鬱情緒與手機成癮在學校區域的分布情況 31 四、自覺壓力、憂鬱情緒與手機成癮在學業成績的分布情況 33 五、自覺壓力、憂鬱情緒與手機成癮在父親教育程度的分布情況 33 六、自覺壓力、憂鬱情緒與手機成癮在母親教育程度的分布情況 33 七、自覺壓力、憂鬱情緒與手機成癮在父母婚姻狀況的分布情況 33 八、 自覺壓力、憂鬱情緒與手機成癮的相關性 35 第三節 憂鬱情緒作為自覺壓力與手機成癮間的中介效果 36 一、憂鬱情緒作為自覺壓力與手機成癮間的中介效果 36 二、控制背景因素下憂鬱情緒作為自覺壓力與手機成癮的中介效果 39 第五章 討論與建議 42 第一節 研究結論 42 第二節 研究討論 43 一、 北台灣青少年自覺壓力、憂鬱情緒與手機成癮呈現長期直接關係 43 二、 憂鬱情緒在自覺壓力與手機成癮的長期關係中扮演中介角色 43 三、 背景因素與憂鬱情緒及手機成癮之關係 44 第三節 研究建議 45 一、 對教育實務建議 45 二、 對未來研究建議 45 第四節 研究限制 46 參考文獻 47

    Achenbach, T. M., & Edelbrock, C. (1991). Child behavior checklist. Burlington (Vt), 7, 371-392.

    Agnew, R., & White, H. R. (1992). An empirical test of general strain theory. Criminology, 30(4), 475-500.

    Al-Qahtani, A. A., AA, S. A., & Ali, A. S. (2020). Playerunknown's Battlegrounds: Yet Another Internet Gaming Addiction. J Ayub Med Coll Abbottabad, 32(1), 145-146.

    Alageel, A. A., Alyahya, R. A., Y, A. B., Alzunaydi, N. A., Alghamdi, R. A., Alrahili, N. M., . . . Iacobucci, M. (2021). Smartphone addiction and associated factors among postgraduate students in an Arabic sample: a cross-sectional study. BMC Psychiatry, 21(1), 302. doi:10.1186/s12888-021-03285-0

    American Psychiatric Association, D., & Association, A. P. (2013). Diagnostic and statistical manual of mental disorders: DSM-5 (Vol. 5): American psychiatric association Washington, DC.

    Awasthi, A. A., Taneja, N., Maheshwari, S., Gupta, T., & Bhavika. (2020). Prevalence of Internet Addiction, Poor Sleep Quality, and Depressive Symptoms Among Medical Students: A Cross-Sectional Study. Osong Public Health Res Perspect, 11(5), 303-308. doi:10.24171/j.phrp.2020.11.5.06

    Besharat, M. A., Khadem, H., Zarei, V., & Momtaz, A. (2020). Mediating Role of Perceived Stress in the Relationship between Facing Existential Issues and Symptoms of Depression and Anxiety. Iran J Psychiatry, 15(1), 80-87.

    Bhanderi, D. J., Pandya, Y. P., & Sharma, D. B. (2021). Smartphone Use and Its Addiction among Adolescents in the Age Group of 16-19 Years. Indian J Community Med, 46(1), 88-92. doi:10.4103/ijcm.IJCM_263_20

    Bhattarai, D., Shrestha, N., & Paudel, S. (2020). Prevalence and factors associated with depression among higher secondary school adolescents of Pokhara Metropolitan, Nepal: a cross-sectional study. BMJ Open, 10(12), e044042. doi:10.1136/bmjopen-2020-044042

    Brand, M., Wegmann, E., Stark, R., Müller, A., Wölfling, K., Robbins, T. W., & Potenza, M. N. (2019). The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors. Neuroscience & Biobehavioral Reviews, 104, 1-10.

    Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016). Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model. Neuroscience & Biobehavioral Reviews, 71, 252-266.

    Brown, T. A., Chorpita, B. F., Korotitsch, W., & Barlow, D. H. (1997). Psychometric properties of the Depression Anxiety Stress Scales (DASS) in clinical samples. Behaviour research and therapy, 35(1), 79-89.

    Brubaker, J. R., & Beverly, E. A. (2020). Burnout, Perceived Stress, Sleep Quality, and Smartphone Use: A Survey of Osteopathic Medical Students. J Am Osteopath Assoc, 120(1), 6-17. doi:10.7556/jaoa.2020.004

    Byrd, D. R., Thorpe, R. J., Jr., & Whitfield, K. E. (2020). Special Issue: Race and Mental Health Among Older Adults: Do Depressive Symptoms Shape Blacks' Perceptions of Stress Over Time? Innov Aging, 4(5), igaa022. doi:10.1093/geroni/igaa022

    Chang, F.-C., Chiu, C.-H., Chen, P.-H., Chiang, J.-T., Miao, N.-F., Chuang, H.-Y., & Liu, S. (2019). Children's use of mobile devices, smartphone addiction and parental mediation in Taiwan. Computers in Human Behavior, 93, 25-32.

    Cheung, T., Lee, R. L. T., Tse, A. C. Y., Do, C. W., So, B. C. L., Szeto, G. P. Y., & Lee, P. H. (2019). Psychometric Properties and Demographic Correlates of the Smartphone Addiction Scale-Short Version Among Chinese Children and Adolescents in Hong Kong. Cyberpsychol Behav Soc Netw, 22(11), 714-723. doi:10.1089/cyber.2019.0325

    Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of health and social behavior, 385-396.

    Derogatis, L. R., & Melisaratos, N. (1983). The brief symptom inventory: an introductory report. Psychological medicine, 13(3), 595-605.

    Devi, H. M., Purborini, N., & Chang, H. J. (2021). Mediating effect of resilience on association among stress, depression, and anxiety in Indonesian nursing students. J Prof Nurs, 37(4), 706-713. doi:10.1016/j.profnurs.2021.04.004

    Dharmadhikari, S. P., Harshe, S. D., & Bhide, P. P. (2019). Prevalence and Correlates of Excessive Smartphone Use among Medical Students: A Cross-sectional Study. Indian J Psychol Med, 41(6), 549-555. doi:10.4103/ijpsym.Ijpsym_75_19

    Dong, G., & Potenza, M. N. (2014). A cognitive-behavioral model of Internet gaming disorder: theoretical underpinnings and clinical implications. J Psychiatr Res, 58, 7-11. doi:10.1016/j.jpsychires.2014.07.005

    El-Sayed Desouky, D., & Abu-Zaid, H. (2020). Mobile phone use pattern and addiction in relation to depression and anxiety. East Mediterr Health J, 26(6), 692-699. doi:10.26719/emhj.20.043

    Elsawy, W. I. H., Sherif, A. A. R., Attia, M., & El-Nimr, N. A. (2020). Depression among medical students in Alexandria, Egypt. Afr Health Sci, 20(3), 1416-1425. doi:10.4314/ahs.v20i3.47

    Facioli, A. M., Barros Â, F., Melo, M. C., Ogliari, I. C. M., & Custódio, R. J. M. (2020). Depression among nursing students and its association with academic life. Rev Bras Enferm, 73(1), e20180173. doi:10.1590/0034-7167-2018-0173

    Fırat, S., Gül, H., Sertçelik, M., Gül, A., Gürel, Y., & Kılıç, B. G. (2018). The relationship between problematic smartphone use and psychiatric symptoms among adolescents who applied to psychiatry clinics. Psychiatry Res, 270, 97-103. doi:10.1016/j.psychres.2018.09.015

    Forster, M., Rogers, C., Sussman, S. Y., Yu, S., Rahman, T., Zeledon, H., & Benjamin, S. M. (2021). Adverse childhood experiences and problematic smartphone use among college students: Findings from a pilot study. Addict Behav, 117, 106869. doi:10.1016/j.addbeh.2021.106869

    Forster, M., Rogers, C. J., Sussman, S., Watts, J., Rahman, T., Yu, S., & Benjamin, S. M. (2021). Can Adverse Childhood Experiences Heighten Risk for Problematic Internet and Smartphone Use? Findings from a College Sample. Int J Environ Res Public Health, 18(11). doi:10.3390/ijerph18115978

    Fu, Y., Ren, W., & Liang, Z. (2022). Perceived academic stress and depressive symptoms among Chinese adolescents: A moderated mediation analysis of overweight status. J Affect Disord, 296, 224-232. doi:10.1016/j.jad.2021.09.060

    Gallup. (2021). Global Emotions.

    Geng, Y., Gu, J., Wang, J., & Zhang, R. (2021). Smartphone addiction and depression, anxiety: The role of bedtime procrastination and self-control. J Affect Disord, 293, 415-421. doi:10.1016/j.jad.2021.06.062

    Ghosh, T., Sarkar, D., Sarkar, K., Dalai, C. K., & Ghosal, A. (2021). A study on smartphone addiction and its effects on sleep quality among nursing students in a municipality town of West Bengal. J Family Med Prim Care, 10(1), 378-386. doi:10.4103/jfmpc.jfmpc_1657_20

    Gligor, Ș., & Mozoș, I. (2019). Indicators of smartphone addiction and stress score in university students. Wien Klin Wochenschr, 131(5-6), 120-125. doi:10.1007/s00508-018-1373-5

    Goldberg, I. (1995). Internet Addiction Disorder. Retrieved from https://www.psycom.net/iadcriteria.html

    Goodwin, R. D., Dierker, L. C., Wu, M., Galea, S., Hoven, C. W., & Weinberger, A. H. (2022). Trends in U.S. Depression Prevalence From 2015 to 2020: The Widening Treatment Gap. Am J Prev Med, 63(5), 726-733. doi:10.1016/j.amepre.2022.05.014

    Grant, J. E., Lust, K., & Chamberlain, S. R. (2019). Problematic smartphone use associated with greater alcohol consumption, mental health issues, poorer academic performance, and impulsivity. J Behav Addict, 8(2), 335-342. doi:10.1556/2006.8.2019.32

    Gul, F., Yuefen, W., Ullah, I., & Zada, S. (2020). Study of depression in university students in Pakistan. J Pak Med Assoc, 70(4), 650-654. doi:10.5455/jpma.15757

    Guo, J., Meng, D., Ma, X., Zhu, L., Yang, L., & Mu, L. (2020). The impact of bedtime procrastination on depression symptoms in Chinese medical students. Sleep Breath, 24(3), 1247-1255. doi:10.1007/s11325-020-02079-0

    Hammen, C. (2005). Stress and depression. Annu Rev Clin Psychol, 1, 293-319. doi:10.1146/annurev.clinpsy.1.102803.143938

    Hammond, N. G., & Colman, I. (2020). The Role of Positive Health Behaviors in the Relationship Between Early Life Stress and Migraine. Headache, 60(6), 1111-1123. doi:10.1111/head.13808

    Ho, Y. C., Lee, H. C., Lin, M. F., & Chang, H. J. (2020). Correlations among life stress, smoking behavior, and depressive symptoms in adolescents: A descriptive study with a mediating model. Nurs Health Sci, 22(4), 949-957. doi:10.1111/nhs.12752

    Holmes, T. H., & Rahe, R. H. (1967). The social readjustment rating scale. Journal of psychosomatic research.

    Honda, H., Yoshikawa, K., Yamashina, Y., Yamato, Y., Terada, S., & Goto, M. (2020). Association among social-networking service usage via smartphone, internet addiction, and psychological stress in Japanese physical therapy university students: a single-university cross-sectional study. J Phys Ther Sci, 32(9), 591-596. doi:10.1589/jpts.32.591

    Hong, Y. P., Yeom, Y. O., & Lim, M. H. (2021). Relationships between Smartphone Addiction and Smartphone Usage Types, Depression, ADHD, Stress, Interpersonal Problems, and Parenting Attitude with Middle School Students. J Korean Med Sci, 36(19), e129. doi:10.3346/jkms.2021.36.e129

    Hoying, J., Melnyk, B. M., Hutson, E., & Tan, A. (2020). Prevalence and Correlates of Depression, Anxiety, Stress, Healthy Beliefs, and Lifestyle Behaviors in First-Year Graduate Health Sciences Students. Worldviews Evid Based Nurs, 17(1), 49-59. doi:10.1111/wvn.12415

    Huang, Q., Li, Y., Huang, S., Qi, J., Shao, T., Chen, X., . . . Chen, H. (2020). Smartphone Use and Sleep Quality in Chinese College Students: A Preliminary Study. Front Psychiatry, 11, 352. doi:10.3389/fpsyt.2020.00352

    Huh, H. J., Kim, K. H., Lee, H. K., Jeong, B. R., Hwang, J. H., & Chae, J. H. (2021). Perceived Stress, Positive Resources and Their Interactions as Possible Related Factors for Depressive Symptoms. Psychiatry Investig, 18(1), 59-68. doi:10.30773/pi.2020.0208

    Jeong, B., Lee, J. Y., Kim, B. M., Park, E., Kwon, J. G., Kim, D. J., . . . Lee, D. (2020). Associations of personality and clinical characteristics with excessive Internet and smartphone use in adolescents: A structural equation modeling approach. Addict Behav, 110, 106485. doi:10.1016/j.addbeh.2020.106485

    Jiang, S., Ren, Q., Jiang, C., & Wang, L. (2021). Academic stress and depression of Chinese adolescents in junior high schools: Moderated mediation model of school burnout and self-esteem. J Affect Disord, 295, 384-389. doi:10.1016/j.jad.2021.08.085

    Joshi, A., Kale, S., Chandel, S., & Pal, D. K. (2015). Likert scale: Explored and explained. British Journal of Applied Science & Technology, 7(4), 396.

    Jules, M. A., Maynard, D. B., Lowe, G., Lipps, G., & Gibson, R. C. (2021). A psycho-social analysis of depression, anxiety and student engagement: Effects of parenting practices. Clin Child Psychol Psychiatry, 26(1), 110-120. doi:10.1177/1359104520972447

    Jun, S., & Choi, E. (2015). Academic stress and Internet addiction from general strain theory framework. Computers in Human Behavior, 49, 282-287.
    Kürtüncü, M., Ayyıldız, T. K., & Kurt, A. (2021). An examination of smartphone addiction and loneliness among high school students according to various variables: A sample from Turkey. Perspect Psychiatr Care, 57(2), 941-947. doi:10.1111/ppc.12639

    Kaya, F., Bostanci Daştan, N., & Durar, E. (2021). Smart phone usage, sleep quality and depression in university students. Int J Soc Psychiatry, 67(5), 407-414. doi:10.1177/0020764020960207

    Kılınç, G., Aylaz, R., Güneş, G., & Harmancı, P. (2020). The relationship between depression and loneliness levels of the students at the faculty of health sciences and the factors affecting them. Perspect Psychiatr Care, 56(2), 431-438. doi:10.1111/ppc.12452

    Kim, H., Cho, M. K., Ko, H., Yoo, J. E., & Song, Y. M. (2020). Association between Smartphone Usage and Mental Health in South Korean Adolescents: The 2017 Korea Youth Risk Behavior Web-Based Survey. Korean J Fam Med, 41(2), 98-104. doi:10.4082/kjfm.18.0108

    Kim, H. J., Min, J. Y., Kim, H. J., & Min, K. B. (2019). Association between psychological and self-assessed health status and smartphone overuse among Korean college students. J Ment Health, 28(1), 11-16. doi:10.1080/09638237.2017.1370641

    Kim, J. H. (2021). Factors Associated with Smartphone Addiction Tendency in Korean Adolescents. Int J Environ Res Public Health, 18(21). doi:10.3390/ijerph182111668

    Kokou-Kpolou, C. K., Jumageldinov, A., Park, S., Nieuviarts, N., Noorishad, P. G., & Cénat, J. M. (2021). Prevalence of Depressive Symptoms and Associated Psychosocial Risk Factors among French University Students: the Moderating and Mediating Effects of Resilience. Psychiatr Q, 92(2), 443-457. doi:10.1007/s11126-020-09812-8

    Koly, K. N., Sultana, S., Iqbal, A., Dunn, J. A., Ryan, G., & Chowdhury, A. B. (2021). Prevalence of depression and its correlates among public university students in Bangladesh. J Affect Disord, 282, 689-694. doi:10.1016/j.jad.2020.12.137

    Kwon, M., Kim, D.-J., Cho, H., & Yang, S. (2013). The smartphone addiction scale: development and validation of a short version for adolescents. PLoS ONE, 8(12), e83558. doi:10.1371/journal.pone.0083558

    Lai, X., Nie, C., Huang, S., Li, Y., Xin, T., Zhang, C., & Wang, Y. (2022). Effect of Growth Mindset on Mental Health Two Years Later: The Role of Smartphone Use. Int J Environ Res Public Health, 19(6). doi:10.3390/ijerph19063355

    Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal, and coping: Springer publishing company.

    Lee, J., Ahn, J. S., Min, S., & Kim, M. H. (2020). Psychological Characteristics and Addiction Propensity According to Content Type of Smartphone Use. Int J Environ Res Public Health, 17(7). doi:10.3390/ijerph17072292

    Lei, L. Y., Ismail, M. A., Mohammad, J. A., & Yusoff, M. S. B. (2020). The relationship of smartphone addiction with psychological distress and neuroticism among university medical students. BMC Psychol, 8(1), 97. doi:10.1186/s40359-020-00466-6

    Li, L., Lok, G. K. I., Mei, S. L., Cui, X. L., An, F. R., Li, L., . . . Xiang, Y. T. (2020). Prevalence of depression and its relationship with quality of life among university students in Macau, Hong Kong and mainland China. Sci Rep, 10(1), 15798. doi:10.1038/s41598-020-72458-w

    Lin, L., Wang, X., Li, Q., Xia, B., Chen, P., & Wang, W. (2021). The Influence of Interpersonal Sensitivity on Smartphone Addiction: A Moderated Mediation Model. Front Psychol, 12, 670223. doi:10.3389/fpsyg.2021.670223

    Lin, Y.-H., Chang, L.-R., Lee, Y.-H., Tseng, H.-W., Kuo, T. B., & Chen, S.-H. (2014). Development and validation of the Smartphone Addiction Inventory (SPAI). PloS one, 9(6), e98312.

    Lin, Y. H., Chiang, C. L., Lin, P. H., Chang, L. R., Ko, C. H., Lee, Y. H., & Lin, S. H. (2016). Proposed Diagnostic Criteria for Smartphone Addiction. PloS one, 11(11), e0163010. doi:10.1371/journal.pone.0163010

    Liu, Z., Liu, R., Zhang, Y., Zhang, R., Liang, L., Wang, Y., . . . Wang, F. (2021). Association between perceived stress and depression among medical students during the outbreak of COVID-19: The mediating role of insomnia. J Affect Disord, 292, 89-94. doi:10.1016/j.jad.2021.05.028

    Loleska, S., & Pop-Jordanova, N. (2021). Is Smartphone Addiction in the Younger Population a Public Health Problem? Pril (Makedon Akad Nauk Umet Odd Med Nauki), 42(3), 29-36. doi:10.2478/prilozi-2021-0032

    Long, J., Liu, T. Q., Liao, Y. H., Qi, C., He, H. Y., Chen, S. B., & Billieux, J. (2016). Prevalence and correlates of problematic smartphone use in a large random sample of Chinese undergraduates. BMC Psychiatry, 16(1), 408. doi:10.1186/s12888-016-1083-3

    Lopez-Fernandez, O. (2017). Short version of the Smartphone Addiction Scale adapted to Spanish and French: Towards a cross-cultural research in problematic mobile phone use. Addict Behav, 64, 275-280. doi:10.1016/j.addbeh.2015.11.013

    Mehmood, A., Bu, T., Zhao, E., Zelenina, V., Alexander, N., Wang, W., . . . Yang, Y. (2021). Exploration of Psychological Mechanism of Smartphone Addiction Among International Students of China by Selecting the Framework of the I-PACE Model. Front Psychol, 12, 758610. doi:10.3389/fpsyg.2021.758610

    Mohamed, S. M., & Mostafa, M. H. (2020). Impact of smartphone addiction on depression and self-esteem among nursing students. Nurs Open, 7(5), 1346-1353. doi:10.1002/nop2.506

    Mohammad, S., Almakran, I. W., Al-Montashri, A. S., Mursi, A. M., Alharbi, S. M., Pasha, T. S., & Khalid, I. (2020). Depression, anxiety and stress and their associated social determinants in the Saudi college students. Health Psychol Res, 8(3), 9263. doi:10.4081/hpr.2020.9263

    Nakamura, J. S., Kim, E. S., Rentscher, K. E., Bower, J. E., & Kuhlman, K. R. (2021). Early-life stress, depressive symptoms, and inflammation: the role of social factors. Aging Ment Health, 1-9. doi:10.1080/13607863.2021.1876636

    Ng, K. C., Wu, L. H., Lam, H. Y., Lam, L. K., Nip, P. Y., Ng, C. M., . . . Leung, S. F. (2020). The relationships between mobile phone use and depressive symptoms, bodily pain, and daytime sleepiness in Hong Kong secondary school students. Addict Behav, 101, 105975. doi:10.1016/j.addbeh.2019.04.033

    Pan, Y. C., Chiu, Y. C., & Lin, Y. H. (2019). Development of the Problematic Mobile Gaming Questionnaire and Prevalence of Mobile Gaming Addiction Among Adolescents in Taiwan. Cyberpsychol Behav Soc Netw, 22(10), 662-669. doi:10.1089/cyber.2019.0085

    Park, H. Y., Heo, J., Subramanian, S. V., Kawachi, I., & Oh, J. (2012). Socioeconomic inequalities in adolescent depression in South Korea: a multilevel analysis. PloS one, 7(10), e47025. doi:10.1371/journal.pone.0047025

    Park, S. Y., Yang, S., Shin, C. S., Jang, H., & Park, S. Y. (2019). Long-Term Symptoms of Mobile Phone Use on Mobile Phone Addiction and Depression Among Korean Adolescents. Int J Environ Res Public Health, 16(19). doi:10.3390/ijerph16193584

    Pereira, F. S., Bevilacqua, G. G., Coimbra, D. R., & Andrade, A. (2020). Impact of Problematic Smartphone Use on Mental Health of Adolescent Students: Association with Mood, Symptoms of Depression, and Physical Activity. Cyberpsychol Behav Soc Netw, 23(9), 619-626. doi:10.1089/cyber.2019.0257

    Petersen, A. C., Compas, B. E., Brooks-Gunn, J., Stemmler, M., Ey, S., & Grant, K. E. (1993). Depression in adolescence. American Psychologist, 48(2), 155-168. doi:10.1037/0003-066X.48.2.155

    Rajab, A. M., Zaghloul, M. S., Enabi, S., Rajab, T. M., Al-Khani, A. M., Basalah, A., . . . Saquib, N. (2020). Gaming addiction and perceived stress among Saudi adolescents. Addict Behav Rep, 11, 100261. doi:10.1016/j.abrep.2020.100261

    Ramón-Arbués, E., Gea-Caballero, V., Granada-López, J. M., Juárez-Vela, R., Pellicer-García, B., & Antón-Solanas, I. (2020). The Prevalence of Depression, Anxiety and Stress and Their Associated Factors in College Students. Int J Environ Res Public Health, 17(19). doi:10.3390/ijerph17197001

    Rasheduzzaman, M., Al Mamun, F., Faruk, M. O., Hosen, I., & Mamun, M. A. (2021). Depression in Bangladeshi university students: The role of sociodemographic, personal, and familial psychopathological factors. Perspect Psychiatr Care, 57(4), 1585-1594. doi:10.1111/ppc.12722

    Sechi, C., Loi, G., & Cabras, C. (2021). Addictive internet behaviors: The role of trait emotional intelligence, self-esteem, age, and gender. Scand J Psychol, 62(3), 409-417. doi:10.1111/sjop.12698

    Selye, H. (1956). The stress of life.

    Seo, J., Lee, C. S., Lee, Y. J., Bhang, S. Y., & Lee, D. (2021). The Type of Daily Life Stressors Associated with Social Media Use in Adolescents with Problematic Internet/Smartphone Use. Psychiatry Investig, 18(3), 241-248. doi:10.30773/pi.2020.0060

    Shen, B., Wang, F., Sun, S., & Liu, Y. (2021). Chinese Adolescents’ Academic Stress and Smartphone Addiction: A Moderated-Mediation Model. Journal of Broadcasting & Electronic Media, 65(5), 724-740. doi:10.1080/08838151.2021.2014842

    Spremo, M. (2020). Children and Divorce. Psychiatr Danub, 32(Suppl 3), 353-359.

    Stanković, M., Nešić, M., Čičević, S., & Shi, Z. (2021). Association of smartphone use with depression, anxiety, stress, sleep quality, and internet addiction. Empirical evidence from a smartphone application. Personality and individual differences, 168, 110342.

    Steen, P. B., Poulsen, P. H., Andersen, J. H., & Biering, K. (2020). Subjective social status is an important determinant of perceived stress among adolescents: a cross-sectional study. BMC Public Health, 20(1), 396. doi:10.1186/s12889-020-08509-8

    Stowell, D., Lewis, R. K., & Brooks, K. (2021). Perceived stress, substance use, and mental health issues among college students in the Midwest. J Prev Interv Community, 49(3), 221-234. doi:10.1080/10852352.2019.1654263

    Sung, J. M., & Kim, Y. J. (2020). Sex differences in adolescent mental health profiles in South Korea. Arch Psychiatr Nurs, 34(6), 563-571. doi:10.1016/j.apnu.2020.10.001

    Tangmunkongvorakul, A., Musumari, P. M., Tsubohara, Y., Ayood, P., Srithanaviboonchai, K., Techasrivichien, T., . . . Kihara, M. (2020). Factors associated with smartphone addiction: A comparative study between Japanese and Thai high school students. PloS one, 15(9), e0238459. doi:10.1371/journal.pone.0238459

    Thiemann, P., Brimicombe, J., Benson, J., & Quince, T. (2020). When investigating depression and anxiety in undergraduate medical students timing of assessment is an important factor - a multicentre cross-sectional study. BMC Med Educ, 20(1), 125. doi:10.1186/s12909-020-02029-0

    Tymofiyeva, O., Yuan, J. P., Kidambi, R., Huang, C. Y., Henje, E., Rubinstein, M. L., . . . Xu, D. (2020). Neural Correlates of Smartphone Dependence in Adolescents. Front Hum Neurosci, 14, 564629. doi:10.3389/fnhum.2020.564629

    Wan Ismail, W. S., Sim, S. T., Tan, K. A., Bahar, N., Ibrahim, N., Mahadevan, R., . . . Abdul Aziz, M. (2020). The relations of internet and smartphone addictions to depression, anxiety, stress, and suicidality among public university students in Klang Valley, Malaysia. Perspect Psychiatr Care, 56(4), 949-955. doi:10.1111/ppc.12517

    Wang, A., Wang, Z., Zhu, Y., & Shi, X. (2022). The Prevalence and Psychosocial Factors of Problematic Smartphone Use Among Chinese College Students: A Three-Wave Longitudinal Study. Front Psychol, 13, 877277. doi:10.3389/fpsyg.2022.877277

    Wang, A., Wang, Z., Zhu, Y., & Shi, X. (2022). The Prevalence and Psychosocial Factors of Problematic Smartphone Use Among Chinese College Students: A Three-Wave Longitudinal Study. Frontiers in Psychology, 1476.

    Wang, J.-L., Rost, D. H., Qiao, R.-J., & Monk, R. (2020). Academic stress and smartphone dependence among Chinese adolescents: A moderated mediation model. Children and Youth Services Review, 118, 105029.

    Wang, W., Mehmood, A., Li, P., Yang, Z., Niu, J., Chu, H., . . . Yang, X. (2021). Perceived Stress and Smartphone Addiction in Medical College Students: The Mediating Role of Negative Emotions and the Moderating Role of Psychological Capital. Front Psychol, 12, 660234. doi:10.3389/fpsyg.2021.660234

    Wartberg, L., Thomasius, R., & Paschke, K. (2021). The relevance of emotion regulation, procrastination, and perceived stress for problematic social media use in a representative sample of children and adolescents. Computers in Human Behavior, 121, 106788.

    Woo, K. S., Bong, S. H., Choi, T. Y., & Kim, J. W. (2021). Mental Health, Smartphone Use Type, and Screen Time Among Adolescents in South Korea. Psychol Res Behav Manag, 14, 1419-1428. doi:10.2147/prbm.S324235

    Xie, J.-Q., Zimmerman, M. A., Rost, D. H., Yin, X.-Q., & Wang, J.-L. (2020). Stressful life events and problematic smartphone usage among Chinese boarding-school adolescents: a moderated mediation model of peer support and depressive symptoms. Addiction Research & Theory, 28(6), 493-500. doi:10.1080/16066359.2019.1692824

    Young, K. S. (1998). Caught in the net: How to recognize the signs of internet addiction--and a winning strategy for recovery: John Wiley & Sons.

    Yuan, G., Elhai, J. D., & Hall, B. J. (2021). The influence of depressive symptoms and fear of missing out on severity of problematic smartphone use and Internet gaming disorder among Chinese young adults: A three-wave mediation model. Addict Behav, 112, 106648. doi:10.1016/j.addbeh.2020.106648

    Zeidan, J., Hallit, S., Akel, M., Louragli, I., & Obeid, S. (2021). Problematic smartphone use and affective temperaments among Lebanese young adults: scale validation and mediating role of self-esteem. BMC Psychol, 9(1), 136. doi:10.1186/s40359-021-00638-y

    台灣董氏基金會. (2021). 六都青少年活動量與憂鬱情緒現況調查. Retrieved from http://www.etmh.org/CustomPage/HtmlEditorPage.aspx?MId=1346&ML=3

    江心瑜, 劉倩秀, 詹子昀, 林庭安, 林芸秀, 李宜靜, . . . 廖韋毓. (2013). 觸控式手機使用習慣和大學生肌肉骨骼不適之相關探討. [The Exploration of Association of the Usage of
    Touch-screen Cell Phone and Musculoskeletal Discomfort among College Students]. 臺灣職能治療研究與實務雜誌, 9(1), 41-51. doi:10.6534/jtotrp.2013.9(1).41

    何怡德, 洪紫齡, 王鐘慶, 王映權, 江昇達, 陳韋良, & 劉紹興. (2016). 某地區醫院肩頸疼痛與生活型態危險因子相關性調查. 中華職業醫學雜誌, 23(1), 21-34.

    兒福聯盟. (2021). 2021台灣兒少網路社交焦慮與網路霸凌經驗調查報告. Retrieved from https://www.children.org.tw/publication_research/research_report/2267

    國家傳播委員會. (2021). 109年匯流發展調查結果報告-國家通訊傳播委員會. Retrieved from https://www.ncc.gov.tw/chinese/files/21022/5364_45750_210223_1.pdf

    張正杰, & 施美雲. (2015). 高中職學生手機使用行為與手機成癮傾向之研究. [A Study on Mobile Phone Using Behaviors and Addiction Tendency of Senior and Vocational High School Students]. 教育傳播與科技研究(110), 41-62. doi:10.6137/rect.2015.110.03

    黃淑儀, & 宋惠娟. (2016). 憂鬱之概念分析. [Depression: A Concept Analysis]. 榮總護理, 33(2), 204-211. doi:10.6142/vghn.33.2.204

    資策會. (2016). 104年數位機會調查. Retrieved from https://www.iii.org.tw/Press/NewsDtl.aspx?fm_sqno=14&nsp_sqno=1952

    劉宗幸, & 江守峻. (2020). 家庭與學校依附脈絡因子對台灣青少年憂鬱症狀發展之縱貫研究. 教育學報, 48(2), 135-155.

    衛生福利部. (2021). 抗憂鬱藥物使用人數. Retrieved from https://dep.mohw.gov.tw/dos/cp-1720-9734-113.html

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