中国行为医学科学
中國行為醫學科學
중국행위의학과학
2008年
3期
260-262
,共3页
陈琦%王旭梅%邵云%韩继阳%倪晓梅%杨柳%刘芳
陳琦%王旭梅%邵雲%韓繼暘%倪曉梅%楊柳%劉芳
진기%왕욱매%소운%한계양%예효매%양류%류방
网络游戏成瘾%网络人际关系成瘾%网络信息成瘾%生活事件%社会支持
網絡遊戲成癮%網絡人際關繫成癮%網絡信息成癮%生活事件%社會支持
망락유희성은%망락인제관계성은%망락신식성은%생활사건%사회지지
Internet game addiction%Cyber-relationship addiction%Information collection addiction%Life events%Social support
目的 探讨不同类型网络成瘾倾向大学生在生活事件及社会支持方面的差异.方法 以分层按比例整群抽样的方法随机抽取396名大学生作为研究对象,以大学生网络成瘾类型问卷、社会支持评定量表及青少年生活事件量表对研究对象进行评定.结果 网络游戏成瘾高、低倾向组在生活事件的学习压力、受惩罚及其他因子方面存在显著差异(P<0.05或P<0.01),同时网络游戏成瘾高倾向组在客观社会支持、主观社会支持及对社会支持的利用度方面[分别为(9.36±2.53)分,(19.95±3.48)分,(7.30±1.02)分],低于低倾向组[分别为(10.62±2.44)分,(22.85±3.46)分,(7.92±1.58)分],差异具有显著性(P<0.01);网络人际关系成瘾高、低倾向组在生活事件的所有指标方面均存在显著差异(P<0.05或P<0.01),同时网络人际关系成瘾高倾向组在客观社会支持及主观社会支持方面[分别为(8.38±3.57)分,(18.69±3.25)分],低于低倾向组[分别为(10.66±2.14)分,(23.12±3.18)分],差异具有显著性(P<0.05或P<0.01);网络信息成瘾高、低倾向组在生活事件的丧失和其他因子方面存在显著差异(P<0.05),同时网络信息成瘾高倾向组在主观社会支持方面[(21.75±3.33)分],低于低倾向组[(22.87±2.98)分],差异具有显著性(P<0.05).结论 不同类型网络成瘾倾向在生活事件及社会支持方面存在一定差异.
目的 探討不同類型網絡成癮傾嚮大學生在生活事件及社會支持方麵的差異.方法 以分層按比例整群抽樣的方法隨機抽取396名大學生作為研究對象,以大學生網絡成癮類型問捲、社會支持評定量錶及青少年生活事件量錶對研究對象進行評定.結果 網絡遊戲成癮高、低傾嚮組在生活事件的學習壓力、受懲罰及其他因子方麵存在顯著差異(P<0.05或P<0.01),同時網絡遊戲成癮高傾嚮組在客觀社會支持、主觀社會支持及對社會支持的利用度方麵[分彆為(9.36±2.53)分,(19.95±3.48)分,(7.30±1.02)分],低于低傾嚮組[分彆為(10.62±2.44)分,(22.85±3.46)分,(7.92±1.58)分],差異具有顯著性(P<0.01);網絡人際關繫成癮高、低傾嚮組在生活事件的所有指標方麵均存在顯著差異(P<0.05或P<0.01),同時網絡人際關繫成癮高傾嚮組在客觀社會支持及主觀社會支持方麵[分彆為(8.38±3.57)分,(18.69±3.25)分],低于低傾嚮組[分彆為(10.66±2.14)分,(23.12±3.18)分],差異具有顯著性(P<0.05或P<0.01);網絡信息成癮高、低傾嚮組在生活事件的喪失和其他因子方麵存在顯著差異(P<0.05),同時網絡信息成癮高傾嚮組在主觀社會支持方麵[(21.75±3.33)分],低于低傾嚮組[(22.87±2.98)分],差異具有顯著性(P<0.05).結論 不同類型網絡成癮傾嚮在生活事件及社會支持方麵存在一定差異.
목적 탐토불동류형망락성은경향대학생재생활사건급사회지지방면적차이.방법 이분층안비례정군추양적방법수궤추취396명대학생작위연구대상,이대학생망락성은류형문권、사회지지평정량표급청소년생활사건량표대연구대상진행평정.결과 망락유희성은고、저경향조재생활사건적학습압력、수징벌급기타인자방면존재현저차이(P<0.05혹P<0.01),동시망락유희성은고경향조재객관사회지지、주관사회지지급대사회지지적이용도방면[분별위(9.36±2.53)분,(19.95±3.48)분,(7.30±1.02)분],저우저경향조[분별위(10.62±2.44)분,(22.85±3.46)분,(7.92±1.58)분],차이구유현저성(P<0.01);망락인제관계성은고、저경향조재생활사건적소유지표방면균존재현저차이(P<0.05혹P<0.01),동시망락인제관계성은고경향조재객관사회지지급주관사회지지방면[분별위(8.38±3.57)분,(18.69±3.25)분],저우저경향조[분별위(10.66±2.14)분,(23.12±3.18)분],차이구유현저성(P<0.05혹P<0.01);망락신식성은고、저경향조재생활사건적상실화기타인자방면존재현저차이(P<0.05),동시망락신식성은고경향조재주관사회지지방면[(21.75±3.33)분],저우저경향조[(22.87±2.98)분],차이구유현저성(P<0.05).결론 불동류형망락성은경향재생활사건급사회지지방면존재일정차이.
Objective To investigate the difference of life events and social support among college students with different types of internet addiction. Methods 396 medical undergraduates were randomly selected as subjects by cluster sampling method. The Different Types of Internet Addiction Scale for Undergraduates, Social Support Scale and Adolescent Self-Rating Life Events Cheek List were used for assessment. Results There were significant differences between groups with higher and lower tendency of internet game addiction in the aspects of study pressure, punishment and others of life events (P<0.05 or P<0.01). In comparison with the lower tendency group of internet game addiction[(10.62±2.44), (22.85±3.46), (7.92±1.58) respectively], the higher tendency group had lower objective and subjective social support and availability[(9.36±2.53), (19.95±3.48), (7.30±1.02) respectively], the differences were statistically significant (P<0.01). There were obvious difference between groups with higher and lower tendency of cyber-relationship addiction in all the aspects of life events (P<0.05or P<0.01). In comparison with the lower tendency group of cyber-relationship addiction[(10.66±2.14) and (23.12±3.18)], the higher tendency group had lower objective and subjective social support [(8.38±3.57) and (18.69±3.25)], the differences were statistically significant (P<0.05 or P<0.01). There were remarkable differences between groups with higher and lower tendency of information collection addiction only in the aspects of loss and others of life events (P<0.05). In comparison with the lower tendency group of information collection addiction(22.87±2.98), the higher tendency group had lower subjective social support (21.75±3.33), the difference was statistically significant (P<0.05). Conclusion Certain difference could be observed among college students with three different types of internet addiction.