Title |
Reciprocal Relationship between Internet Addiction and Network-Related Maladaptive Cognition among Chinese College Freshmen: A Longitudinal Cross-Lagged Analysis
|
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Published in |
Frontiers in Psychology, January 2017
|
DOI | 10.3389/fpsyg.2017.01047 |
Pubmed ID | |
Authors |
Piguo Han, Peng Wang, Qingnan Lin, Yu Tian, Fengqiang Gao, Yingmin Chen |
Abstract |
This study explored the reciprocal relationship between Internet addiction (IA) and network-related maladaptive cognition (NMC) in Chinese college freshmen. A short-term longitudinal survey with a sample of 213 college freshmen was conducted in Shandong province, China. The results revealed that IA can significantly predict the generation and development of NMCs, and that when such maladaptive cognitions have been established, they can further adversely affect the extent of the students' IA. A vicious cycle was observed between these two variables, with IA having predictive priority in its relationship with NMC. This study also determined that the relationship between these two variables was the same for both males and females; therefore, the final model we established can be extensively applied to Chinese college freshmen, regardless of gender. Understanding the reciprocal relationship between these two variables can assist in interventions in IA at the outset of students' college life. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 11% |
Ireland | 1 | 11% |
Switzerland | 1 | 11% |
Unknown | 6 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 89% |
Scientists | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 47 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 8 | 17% |
Student > Ph. D. Student | 6 | 13% |
Student > Master | 5 | 11% |
Researcher | 3 | 6% |
Student > Doctoral Student | 2 | 4% |
Other | 8 | 17% |
Unknown | 15 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 16 | 34% |
Social Sciences | 6 | 13% |
Medicine and Dentistry | 3 | 6% |
Nursing and Health Professions | 2 | 4% |
Computer Science | 1 | 2% |
Other | 2 | 4% |
Unknown | 17 | 36% |