標題: A latent growth curve analysis of initial depression level and changing rate as predictors of problematic Internet use among college students
作者: Chen, Ssu-Kuang
Lin, Sunny S. J.
教育研究所
Institute of Education
關鍵字: Problematic Internet use;Depression;Trajectory change;Gender difference;Latent growth curve model analysis
公開日期: 1-一月-2016
摘要: The associations between problematic Internet use (PIU) and depressive symptoms have been found to be positive and statistically significant. However, whether the trajectory change of depressive feeling is related to PIU has not been discovered. The present study aimed to investigate the trajectory change of depressive symptoms in a group of Taiwanese college students and to examine the influence of the initial level and the changing rate in depression on the PIU level, with a simultaneous evaluation of gender effect. The survey employed a five-wave panel design in which the data were collected five times from the freshman to junior years for the same participants. The first-year data included 757 freshmen (51.1% male). The results showed that the females exhibit a faster decreasing rate in depression than the males. A student with a higher initial level of depression tends to have a serious initial level of PIU. Additionally, the PIU level at the end of study period could be reduced while the rapidly decreasing rate of depression was observed. The faster the decline in depression is, the lower the PIU level is. The trajectory change of depression plays an important role in predicting the severity of PIU. (C) 2015 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.chb.2015.08.018
http://hdl.handle.net/11536/129465
ISSN: 0747-5632
DOI: 10.1016/j.chb.2015.08.018
期刊: COMPUTERS IN HUMAN BEHAVIOR
Volume: 54
起始頁: 380
結束頁: 387
顯示於類別:期刊論文