The Connections among Problematic Usage of the Internet, Psychological Distress, and Eating Disorder Symptoms: A Longitudinal Network Analysis in Chinese Adolescents

Ágh, T., Kovács, G., Supina, D., Pawaskar, M., Herman, B. K., Vokó, Z., & Sheehan, D. V. (2016). A systematic review of the health-related quality of life and economic burdens of anorexia nervosa, bulimia nervosa, and binge eating disorder. Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity, 21(3), 353–364. https://doi.org/10.1007/s40519-016-0264-x

Article  Google Scholar 

Ahern, K., & Le Brocque, R. (2005). Methodological Issues in the Effects of Attrition: Simple Solutions for Social Scientists. Field Methods, 17(1), 53–69. https://doi.org/10.1177/1525822X04271006

Article  Google Scholar 

Baloğlu, M., Şahin, R., & Arpaci, I. (2020). A review of recent research in problematic internet use: Gender and cultural differences. Current Opinion in Psychology, 36, 124–129. https://doi.org/10.1016/j.copsyc.2020.05.008

Article  PubMed  Google Scholar 

Barnhart, W. R., Cui, T., Cui, S., Ren, Y., Ji, F., & He, J. (2023). Exploring the prospective relationships between food addiction symptoms, weight bias internalization, and psychological distress in Chinese adolescents. International Journal of Eating Disorders. https://doi.org/10.1002/eat.24066

Borsboom, D., & Cramer, A. O. J. (2013). Network Analysis: An Integrative Approach to the Structure of Psychopathology. Annual Review of Clinical Psychology, 9(1), 91–121. https://doi.org/10.1146/annurev-clinpsy-050212-185608

Article  PubMed  Google Scholar 

Brown, T. A., Vanzhula, I. A., Reilly, E. E., Levinson, C. A., Berner, L. A., Krueger, A., Lavender, J. M., Kaye, W. H., & Wierenga, C. E. (2020). Body mistrust bridges interoceptive awareness and eating disorder symptoms. Journal of Abnormal Psychology, 129(5), 445–456. https://doi.org/10.1037/abn0000516

Article  PubMed  PubMed Central  Google Scholar 

Cai, Z., Mao, P., Wang, Z., Wang, D., He, J., & Fan, X. (2023). Associations Between Problematic Internet Use and Mental Health Outcomes of Students: A Meta-analytic Review. Adolescent Research Review, 8(1), 45–62. https://doi.org/10.1007/s40894-022-00201-9

Article  PubMed  PubMed Central  Google Scholar 

Carrard, I., Kruseman, M., & Marques-Vidal, P. (2018). Desire to lose weight, dietary intake and psychological correlates among middle-aged and older women. The CoLaus Study. Preventive Medicine, 113, 41–50. https://doi.org/10.1016/j.ypmed.2018.05.011

Article  CAS  PubMed  Google Scholar 

Chan, S. M., & Fung, T. C. T. (2014). Reliability and validity of K10 and K6 in screening depressive symptoms in Hong Kong adolescents. Vulnerable Children and Youth Studies, 9(1), 75–85. https://doi.org/10.1080/17450128.2013.861620

Article  Google Scholar 

Chen, Y., Guo, L., Wu, M., Zhang, L., He, Q., Zheng, Y., Wu, L., Zheng, H., & Chen, J. (2022). Network Analysis of Eating Disorders Symptoms Co-occurring With Impulsive Personality Traits and Negative Mood States in Patients With Bulimia Nervosa. Frontiers in Psychiatry, 13, 899757. https://doi.org/10.3389/fpsyt.2022.899757

Article  PubMed  PubMed Central  Google Scholar 

Claes, L., Müller, A., Norré, J., Assche, L., Wonderlich, S., & Mitchell, J. E. (2012). The Relationship Among Compulsive Buying, Compulsive Internet Use and Temperament in a Sample of Female Patients with Eating Disorders: CB, CIU and temperament in patients with ED. European Eating Disorders Review, 20(2), 126–131. https://doi.org/10.1002/erv.1136

Article  PubMed  Google Scholar 

Csajbók, Z., Aarsland, D., & Cermakova, P. (2023). Between-person and within-person effects in the temporal relationship between depressive symptoms and cognitive function. Journal of Affective Disorders, 331, 380–385. https://doi.org/10.1016/j.jad.2023.03.057

Article  PubMed  Google Scholar 

Dalle Grave, R., Sartirana, M., & Calugi, S. (2021). Complex Cases and Comorbidity in Eating Disorders: Assessment and Management. Springer International Publishing. https://doi.org/10.1007/978-3-030-69341-1

Article  Google Scholar 

Davis, R. A. (2001). A cognitive-behavioral model of pathological Internet use. Computers in Human Behavior, 17(2), 187–195. https://doi.org/10.1016/S0747-5632(00)00041-8

Article  Google Scholar 

Epskamp, S. (2020). Psychometric network models from time-series and panel data. Psychometrika, 85(1), 206–231. https://doi.org/10.1007/s11336-020-09697-3

Article  PubMed  PubMed Central  Google Scholar 

Epskamp, S., Waldorp, L. J., Mõttus, R., & Borsboom, D. (2018). The Gaussian Graphical Model in Cross-Sectional and Time-Series Data. Multivariate Behavioral Research, 53(4), 453–480. https://doi.org/10.1080/00273171.2018.1454823

Article  PubMed  Google Scholar 

Fineberg, N., Demetrovics, Z., Stein, D., Ioannidis, K., Potenza, M., Grünblatt, E., Brand, M., Billieux, J., Carmi, L., King, D., Grant, J., Yücel, M., Dell’Osso, B., Rumpf, H., Hall, N., Hollander, E., Goudriaan, A., Menchon, J., Zohar, J., … Chamberlain, S. (2018). Manifesto for a European research network into Problematic Usage of the Internet. European Neuropsychopharmacology, 28(11), 1232–1246. https://doi.org/10.1016/j.euroneuro.2018.08.004

Fried, E. I., & Cramer, A. O. J. (2017). Moving Forward: Challenges and Directions for Psychopathological Network Theory and Methodology. Perspectives on Psychological Science, 12(6), 999–1020. https://doi.org/10.1177/1745691617705892

Article  PubMed  Google Scholar 

Geng, X., Zhang, J., Liu, Y., Xu, L., Han, Y., Potenza, M. N., & Zhang, J. (2023). Problematic use of the internet among adolescents: A four-wave longitudinal study of trajectories, predictors and outcomes. Journal of Behavioral Addictions, 12(2), 435–447. https://doi.org/10.1556/2006.2023.00021

Article  PubMed  PubMed Central  Google Scholar 

Gideon, N., Hawkes, N., Mond, J., Saunders, R., Tchanturia, K., & Serpell, L. (2016). Development and psychometric validation of the EDE-QS, a 12 item short form of the Eating Disorder Examination Questionnaire (EDE-Q). PLoS ONE, 11(5), e0152744.

Article  PubMed  PubMed Central  Google Scholar 

Graham, J. W. (2009). Missing Data Analysis: Making It Work in the Real World. Annual Review of Psychology, 60(1), 549–576. https://doi.org/10.1146/annurev.psych.58.110405.085530

Article  PubMed  Google Scholar 

Griffiths, S., Castle, D., Cunningham, M., Murray, S. B., Bastian, B., & Barlow, F. K. (2018). How does exposure to thinspiration and fitspiration relate to symptom severity among individuals with eating disorders? Evaluation of a proposed model. Body Image, 27, 187–195. https://doi.org/10.1016/j.bodyim.2018.10.002

Article  PubMed  Google Scholar 

Guo, L., Luo, M., Wang, W.-X., Huang, G.-L., Xu, Y., Gao, X., Lu, C.-Y., & Zhang, W.-H. (2018). Association between problematic Internet use, sleep disturbance, and suicidal behavior in Chinese adolescents. Journal of Behavioral Addictions, 7(4), 965–975. https://doi.org/10.1556/2006.7.2018.115

Article  PubMed  PubMed Central  Google Scholar 

Gustavson, K., von Soest, T., Karevold, E., & Røysamb, E. (2012). Attrition and generalizability in longitudinal studies: Findings from a 15-year population-based study and a Monte Carlo simulation study. BMC Public Health, 12(1), 918. https://doi.org/10.1186/1471-2458-12-918

Article  PubMed  PubMed Central  Google Scholar 

Hamaker, E. L., Kuiper, R. M., & Grasman, R. P. P. P. (2015). A critique of the cross-lagged panel model. Psychological Methods, 20(1), 102–116. https://doi.org/10.1037/a0038889

Article  PubMed  Google Scholar 

He, J., Sun, S., & Fan, X. (2021). Validation of the 12-item Short Form of the Eating Disorder Examination Questionnaire in the Chinese context: Confirmatory factor analysis and Rasch analysis. Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity, 26(1), 201–209. https://doi.org/10.1007/s40519-019-00840-3

Article  Google Scholar 

He, J., Kang, J., Sun, S., Cooper, M., Zickgraf, H. F., & Zhai, Y. (2022). The landscape of eating disorders research: A 40-year bibliometric analysis. European Eating Disorders Review, 30(2), 96–109. https://doi.org/10.1002/erv.2884

Article  PubMed  Google Scholar 

Hinojo-Lucena, F.-J., Aznar-Díaz, I., Cáceres-Reche, M.-P., Trujillo-Torres, J.-M., & Romero-Rodríguez, J.-M. (2019). Problematic Internet Use as a Predictor of Eating Disorders in Students: A Systematic Review and Meta-Analysis Study. Nutrients, 11(9), 2151. https://doi.org/10.3390/nu11092151

Article  PubMed  PubMed Central  Google Scholar 

Hirota, T., McElroy, E., & So, R. (2021). Network Analysis of Internet Addiction Symptoms Among a Clinical Sample of Japanese Adolescents with Autism Spectrum Disorder. Journal of Autism and Developmental Disorders, 51(8), 2764–2772. https://doi.org/10.1007/s10803-020-04714-x

Article  PubMed  Google Scholar 

Ioannidis, K., Taylor, C., Holt, L., Brown, K., Lochner, C., Fineberg, N. A., Corazza, O., Chamberlain, S. R., Roman-Urrestarazu, A., & Czabanowska, K. (2021). Problematic usage of the internet and eating disorder and related psychopathology: A multifaceted, systematic review and meta-analysis. Neuroscience & Biobehavioral Reviews, 125, 569–581. https://doi.org/10.1016/j.neubiorev.2021.03.005

Article  Google Scholar 

Jones, P. (2022). Networktools: Tools for identifying important nodes in networks. R Package Version 1.5.0. Retrived June 23, 2022, from https://CRAN.R-project.org/package=networktools

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

Article  Google Scholar 

Kessler, R. C., Andrews, G., Colpe, L. J., Hiripi, E., Mroczek, D. K., Normand, S.-L.T., Walters, E. E., & Zaslavsky, A. M. (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychological Medicine, 32(6), 959–976. https://doi.org/10.1017/S0033291702006074

Article  CAS  PubMed  Google Scholar 

Koronczai, B., Urbán, R., Kökönyei, G., Paksi, B., Papp, K., Kun, B., Arnold, P., Kállai, J., & Demetrovics, Z. (2011). Confirmation of the Three-Factor Model of Problematic Internet Use on Off-Line Adolescent and Adult Samples. Cyberpsychology, Behavior, and Social Networking, 14(11), 657–664. https://doi.org/10.1089/cyber.2010.0345

Article  PubMed  Google Scholar 

Koronczai, B., Kökönyei, G., Urbán, R., Király, O., Nagygyörgy, K., Felvinczi, K., Griffiths, M. D., Huang, Z., & Demetrovics, Z. (2017). Confirmation of the Chinese Version of the Problematic Internet Use Questionnaire Short Form (PIUQ-SF). International Journal of Mental Health and Addiction, 15(1), 191–197. https://doi.org/10.1007/s11469-016-9664-4

Article  Google Scholar 

Krug, I., Giles, S. E., Granero, R., Agüera, Z., Sánchez, I., Sánchez-Gonzalez, J., Jimenez-Murcia, S., & Fernandez-Aranda, F. (2022). Where does purging disorder lie on the symptomatologic and personality continuum when compared to other eating disorder subtypes? Implications for the DSM. European Eating Disorders Review, 30(1), 36–49. https://doi.org/10.1002/erv.2872

Article  PubMed  Google Scholar 

Kwon, S., Kim, R., Lee, J.-T., Kim, J., Song, S., Kim, S., & Oh, H. (2022). Association of Smartphone Use With Body Image Distortion and Weight Loss Behaviors in Korean Adolescents. JAMA Network Open, 5(5), e2213237. https://doi.org/10.1001/jamanetworkopen.2022.13237

Article 

留言 (0)

沒有登入
gif