Stress, dependency, and depression: An examination of the reinforcement effects of problematic smartphone use on perceived stress and later depression

Aker, S., Şahin, M. K., Sezgin, S., & Oğuz, G. (2017). Psychosocial factors affecting smartphone addiction in university students. Journal of Addictions Nursing, 28(4), 215–219. https://doi.org/10.1097/JAN.0000000000000197

Alhassan, A. A., Alqadhib, E. M., Taha, N. W., Alahmari, R. A., Salam, M., & Almutairi, A. F. (2018). The relationship between addiction to smartphone usage and depression among adults: A cross sectional study. BMC Psychiatry, 18(1), Article 148. https://doi.org/10.1186/s12888-018-1745-4

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). https://doi.org/10.1176/appi.books.9780890425596

Aselton, P. (2012). Sources of stress and coping in American college students who have been diagnosed with depression. Journal of Child and Adolescent Psychiatric Nursing, 25(3), 119–123. https://doi.org/10.1111/j.1744-6171.2012.00341.x

Bae, S.-M. (2017). The relationship between the type of smartphone use and smartphone dependence of Korean adolescents: National survey study. Children and Youth Services Review, 81, 207–211. https://doi.org/10.1016/j.childyouth.2017.08.012

Bae, S.-M. (2019). The relationship between smartphone use for communication, social capital, and subjective well-being in Korean adolescents: Verification using multiple latent growth modeling. Children and Youth Services Review, 96, 93–99. https://doi.org/10.1016/j.childyouth.2018.11.032

Beranuy, M., Carbonell, X., & Griffiths, M. D. (2013). A qualitative analysis of online gaming addicts in treatment. International Journal of Mental Health and Addiction, 11(2), 149–161. https://doi.org/10.1007/s11469-012-9405-2

Billieux, J. (2012). Problematic use of the mobile phone: A literature review and a pathways model. Current Psychiatry Reviews, 8(4), 299–307. https://doi.org/10.2174/157340012803520522

Boase, J., & Ling, R. (2013). Measuring mobile phone use: Self-report versus log data. Journal of Computer-Mediated Communication, 18(4), 508–519. https://doi.org/10.1111/jcc4.12021

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. https://doi.org/10.1016/j.neubiorev.2016.08.033

Carroll, L. (2013). Problem-focused coping. In M. D. Gellman & J. R. Turner (Eds.), Encyclopedia of behavioral medicine (pp. 1540–1541). Springer. https://doi.org/10.1007/978-1-4419-1005-9_1171

Chapman, D. P., Perry, G. S., & Strine, T. W. (2005). The vital link between chronic disease and depressive disorders. Preventing Chronic Disease, 2(1). www.cdc.gov/pcd/issues/2005/jan/04_0066.htm

Chiu, S.-I. (2014). The relationship between life stress and smartphone addiction on Taiwanese university student: A mediation model of learning self-efficacy and social self-efficacy. Computers in Human Behavior, 34, 49–57. https://doi.org/10.1016/j.chb.2014.01.024

Cho, J. (2015). Roles of smartphone app use in improving social capital and reducing social isolation. Cyberpsychology, Behavior, and Social Networking, 18(6), 350–355. https://doi.org/10.1089/cyber.2014.0657

Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24(4), 385–396. https://doi.org/10.2307/2136404

Cohen, S., Mermelstein, R., Kamarck, T., & Hoberman, H. M. (1985). Measuring the functional components of social support. In I. G. Sarason & B. R. Sarason (Eds.), Social support: Theory, research and applications (pp. 73–94). Springer. https://doi.org/10.1007/978-94-009-5115-0_5

Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310–357. https://doi.org/10.1037/0033-2909.98.2.310

Cutrona, C. E. (1990). Stress and social support—In search of optimal matching. Journal of Social and Clinical Psychology, 9(1), 3–14. https://doi.org/10.1521/jscp.1990.9.1.3

Cutrona, C. E., & Russell, D. W. (1990). Type of social support and specific stress: Toward a theory of optimal matching. In B. R. Sarason, I. G. Sarason, & G. R. Pierce (Eds.), Social support: An interactional view. (pp. 319–366). John Wiley & Sons.

de Vreese, C. H., & Neijens, P. (2016). Measuring media exposure in a changing communications environment. Communication Methods and Measures, 10(2–3), 69–80. https://doi.org/10.1080/19312458.2016.1150441

Del Giudice, M., Ellis, B. J., & Shirtcliff, E. A. (2011). The adaptive calibration model of stress responsivity. Neuroscience and Biobehavioral Reviews, 35(7), 1562–1592. https://doi.org/10.1016/j.neubiorev.2010.11.007

Demirci, K., Akgönül, M., & Akpinar, A. (2015). Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. Journal of Behavioral Addictions, 4(2), 85–92. https://doi.org/10.1556/2006.4.2015.010

Dhillon, R., & Arora, M. (2017). Perceived stress, self-efficacy, coping strategies and hardiness as predictors of depression. Journal of Psychosocial Research, 12(2), 325–333.

Ditzen, B., & Heinrichs, M. (2014). Psychobiology of social support: The social dimension of stress buffering. Restorative Neurology and Neuroscience, 32(1), 149–162. https://doi.org/10.3233/RNN-139008

Dobkin, P. L., De Civita, M., Paraherakis, A., & Gill, K. (2002). The role of functional social support in treatment retention and outcomes among outpatient adult substance abusers. Addiction, 97(3), 347–356. https://doi.org/10.1046/j.1360-0443.2002.00083.x

Duke, É., & Montag, C. (2017). Smartphone addiction, daily interruptions and self-reported productivity. Addictive Behaviors Reports, 6, 90–95. https://doi.org/10.1016/j.abrep.2017.07.002

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., Dvorak, R. D., & Hall, B. J. (2017). Non-social features of smartphone use are most related to depression, anxiety and problematic smartphone use. Computers in Human Behavior, 69, 75–82. https://doi.org/10.1016/j.chb.2016.12.023

Ellis, D. A. (2019). Are smartphones really that bad? Improving the psychological measurement of technology-related behaviors. Computers in Human Behavior, 97, 60–66. https://doi.org/10.1016/j.chb.2019.03.006

Folkman, S., & Lazarus, R. S. (1980). An analysis of coping in a middle-aged community sample. Journal of Health and Social Behavior, 21(3), 219–239. https://doi.org/10.2307/2136617

Fryer, S., Waller, G., & Kroese, B. S. (1997). Stress, coping, and disturbed eating attitudes in teenage girls. International Journal of Eating Disorders, 22(4), 427–436. https://doi.org/10.1002/(SICI)1098-108X(199712)22:4<427::AID-EAT8>3.0.CO;2-O

George, D. R., Dellasega, C., Whitehead, M. M., & Bordon, A. (2013). Facebook-based stress management resources for first-year medical students: A multi-method evaluation. Computers in Human Behavior, 29(3), 559–562. https://doi.org/10.1016/j.chb.2012.12.008

Greenberg, J. S. (1981). A study of stressors in the college student population. Health Education, 12(4), 8–12. https://doi.org/10.1080/00970050.1981.10616807

Griffiths, M. D. (2019). The evolution of the ‘components model of addiction’ and the need for a confirmatory approach in conceptualizing behavioral addictions. Dusunen Adam: The Journal of Psychiatry and Neurological Sciences, 32(3), 179–184. https://doi.org/10.14744/DAJPNS.2019.00027

Gutiérrez, J. D.-S., de Fonseca, F. R., & Rubio, G. (2016). Cell-phone addiction: A review. Frontiers in Psychiatry, 7, Article 175. https://doi.org/10.3389/fpsyt.2016.00175

Hammen, C. (2005). Stress and depression. Annual Review of Clinical Psychology, 1, 293–319. https://doi.org/10.1146/annurev.clinpsy.1.102803.143938

Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd ed.). Guilford Press.

Johnson, B. K., & Knobloch-Westerwick, S. (2014). Glancing up or down: Mood management and selective social comparisons on social networking sites. Computers in Human Behavior, 41, 33–39. https://doi.org/10.1016/j.chb.2014.09.009

Jun, S., & Choi, E. (2015). Academic stress and Internet addiction from general strain theory framework. Computers in Human Behavior, 49, 282–287. https://doi.org/10.1016/j.chb.2015.03.001

Kandel, D. B., Raveis, V. H., & Davies, M. (1991). Suicidal ideation in adolescence: Depression, substance use, and other risk factors. Journal of Youth and Adolescence, 20(2), 289–309. https://doi.org/10.1007/BF01537613

Kardefelt-Winther, D. (2014a). A conceptual and methodological critique of internet addiction research: Towards a model of compensatory internet use. Computers in Human Behavior, 31(1), 351–354. https://doi.org/10.1016/j.chb.2013.10.059

Kardefelt-Winther, D. (2014b). The moderating role of psychosocial well-being on the relationship between escapism and excessive online gaming. Computers in Human Behavior, 38, 68–74. https://doi.org/10.1016/j.chb.2014.05.020

Kim, D., Lee, Y., Lee, J., Nam, J. K., & Chung, Y. (2014). Development of Korean Smartphone Addiction Proneness Scale for youth. PLoS ONE, 9(5), Article e97920. https://doi.org/10.1371/journal.pone.0097920

Kim, Y., Wang, Y., & Oh, J. (2016). Digital media use and social engagement: How social media and smartphone use influence social activities of college students. Cyberpsychology, Behavior, and Social Networking, 19(4), 264–269. https://doi.org/10.1089/cyber.2015.0408

Kreek, M. J., Nielsen, D. A., Butelman, E. R., & LaForge, K. S. (2005). Genetic influences on impulsivity, risk taking, stress responsivity and vulnerability to drug abuse and addiction. Nature Neuroscience, 8(11), 1450–1457. https://doi.org/10.1038/nn1583

Kwon, M., Lee, J., Won, W.-Y., Park, J.-W., Min, J.-A., Hahn, C., Gu, X., Choi, J.-H., & Kim, D.-J. (2013). Development and validation of a Smartphone Addiction Scale (SAS). PLoS ONE, 8(2), Article e56936. https://doi.org/10.1371/journal.pone.0056936

Lapierre, M. A., Zhao, P., & Custer, B. E. (2019). Short-term longitudinal relationships between smartphone use/dependency and psychological well-being among late adolescents. Journal of Adolescent Health, 65(5), 607–612. https://doi.org/10.1016/j.jadohealth.2019.06.001

Lazarus, R. S. (1966). Psychological stress and the coping process. McGraw-Hill.

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

Lee, H., Ahn, H., Nguyen, T. G., Choi, S.-W., & Kim, D. J. (2017). Comparing the self-report and measured smartphone usage of college students: A pilot study. Psychiatry Investigation, 14(2), 198–204. https://doi.org/10.4306/pi.2017.14.2.198

Leung, L. (2007). Stressful life events, motives for Internet use, and social support among digital kids. CyberPsychology & Behavior, 10(2), 204–215. https://doi.org/10.1089/cpb.2006.9967

Lewin, J. E., & Sager, J. K. (2008). Salesperson burnout: A test of the coping-mediational model of social support. Journal of Personal Selling & Sales Management, 28(3), 233–246. https://doi.org/10.2753/PSS0885-3134280302

Li, D., Li, X., Wang, Y., Zhao, L., Bao, Z., & Wen, F. (2013). School connectedness and problematic Internet use in adolescents: A moderated mediation model of deviant peer affiliation and self-control. Journal of Abnormal Child Psychology, 41(8), 1231–1242. https://doi.org/10.1007/s10802-013-9761-9

Li, D., Zhang, W., Li, X., Zhen, S., & Wang, Y. (2010). Stressful life events and problematic Internet use by adolescent females and males: A mediated moderation model. Computers in Human Behavior, 26(5), 1199–1207. https://doi.org/10.1016/j.chb.2010.03.031

Mayhew, R., & Edelmann, R. J. (1989). Self-esteem, irrational beliefs and coping strategies in relation to eating problems in a non-clinical population. Personality and Individual Differences, 10(5), 581–584. https://doi.org/10.1016/0191-8869(89)90042-1

Muusses, L. D., Finkenauer, C., Kerkhof, P., & Billedo, C. J. (2014). A longitudinal study of the association between compulsive Internet use and wellbeing. Computers in Human Behavior, 36, 21–28. https://doi.org/10.1016/j.chb.2014.03.035

Pivetta, E., Harkin, L., Billieux, J., Kanjo, E., & Kuss, D. J. (2019). Problematic smartphone use: An empirically validated model. Computers in Human Behavior, 100, 105–117. https://doi.org/10.1016/j.chb.2019.06.013

Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurment, 1(3), 385–401. https://doi.org/10.1177/014662167700100306

Rotondi, V., Stanca, L., & Tomasuolo, M. (2017). Connecting alone: Smartphone use, quality of social interactions and well-being. Journal of Economic Psychology, 63, 17–26. https://doi.org/10.1016/j.joep.2017.09.001

Samaha, M., & Hawi, N. S. (2016). Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. Computers in Human Behavior, 57, 321–325. https://doi.org/http://dx.doi.org/10.1016/j.chb.2015.12.045

Takizawa, T., Kondo, T., Sakihara, S., Ariizumi, M., Watanabe, N., & Oyama, H. (2006). Stress buffering effects of social support on depressive symptoms in middle age: Reciprocity and community mental health. Psychiatry and Clinical Neurosciences, 60(6), 652–661. https://doi.org/10.1111/j.1440-1819.2006.01579.x

Taylor, K., & Silver, L. (2019). Smartphone ownership is growing rapidly around the world, but not always equally. Pew Research Center. https://www.pewglobal.org/2019/02/05/smartphone-ownership-is-growing-rapidly-around-the-world-but-not-always-equally/

Tokunaga, R. S. (2014). A unique problem or the manifestation of a preexisting disorder? The mediating role of problematic internet use in the relationships between psychosocial problems and functional impairment. Communication Research, 41(4), 531–560. https://doi.org/10.1177/0093650212450910

Tsai, H. F., Cheng, S. H., Yeh, T. L., Shih, C.-C., Chen, K. C., Yang, Y. C., & Yang, Y. K. (2009). The risk factors of Internet addiction — A survey of university freshmen. Psychiatry Research, 167(3), 294–299. https://doi.org/10.1016/j.psychres.2008.01.015

Van Deursen, A. J. A. M., Bolle, C. L., Hegner, S. M., & Kommers, P. A. M. (2015). Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in Human Behavior, 45, 411–420. https://doi.org/10.1016/j.chb.2014.12.039

Van Praag, H. M. (2004). Can stress cause depression? Progress in Neuro-Psychopharmacology and Biological Psychiatry, 28(5), 891–907. https://doi.org/10.1016/j.pnpbp.2004.05.031

Wichianson, J. R., Bughi, S. A., Unger, J. B., Spruijt-Metz, D., & Nguyen-Rodriquez, S. T. (2009). Perceived stress, coping and night-eating in college students. Stress and Health, 25(3), 235–240. https://doi.org/10.1002/smi.1242

Yao, M. Z., & Zhong, Z.-j. (2014). Loneliness, social contacts and Internet addiction: A cross-lagged panel study. Computers in Human Behavior, 30, 164–170. https://doi.org/10.1016/j.chb.2013.08.007