Heterogeneous patterns of problematic smartphone use and depressive symptoms among college students: understanding the role of self-compassion

Author:

Zhang Junjie,Wang EnnaORCID

Funder

Philosophy and Social Science Foundation of Gansu Province

2023 Department of Education Philosophy and Social Science Research Project

Publisher

Springer Science and Business Media LLC

Reference68 articles.

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2. Asparouhov, T., & Muthén, B. (2014). Auxiliary variables in mixture modeling: Three-step approaches using Mplus. Structural Equation Modeling: A Multidisciplinary Journal, 21(3), 329–341. https://doi.org/10.1080/10705511.2014.915181

3. Barton, Y. A., Barkin, S. H., & Miller, L. (2017). Deconstructing depression: A latent profile analysis of potential depressive subtypes in emerging adults. Spirituality in Clinical Practice, 4(1), 1–21. https://doi.org/10.1037/scp0000126

4. Boyle, C. C., Stanton, A. L., Ganz, P. A., Crespi, C. M., & Bower, J. E. (2017). Improvements in emotion regulation following mindfulness meditation: Effects on depressive symptoms and perceived stress in younger breast cancer survivors. Journal of Consulting and Clinical Psychology, 85(4), 397–402. https://doi.org/10.1037/ccp0000186

5. 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. https://doi.org/10.1016/j.neubiorev.2019.06.032

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