We investigated factors contributing to Internet addiction in 105 Japanese medical students. The subjects were administered by a self-reporting questionnaire designed to evaluate demographic factors, Internet addictio...We investigated factors contributing to Internet addiction in 105 Japanese medical students. The subjects were administered by a self-reporting questionnaire designed to evaluate demographic factors, Internet addiction, loneliness, health-related lifestyle factors, depressive state, patterns of behavior, and mobile phone dependence. Results of multivariate logistic regression analysis indicated that loneliness and mobile phone dependence were positively related to degree of addiction. Our findings suggest that Internet addiction is associated with loneliness and mobile phone dependence in Japanese students.展开更多
Along with the deployment of 3G networks and the launch of diversified mobile Internet services, network service modes and operation modes have greatly changed, and now the smart phone plays a key role. Accordingly, t...Along with the deployment of 3G networks and the launch of diversified mobile Internet services, network service modes and operation modes have greatly changed, and now the smart phone plays a key role. Accordingly, the key technologies for the smart phone, such as the application security management framework, application software authentication mechanism, interoperating capability and dynamic power management should be paid much attention to. The mobile phone vendors are gradually transforming into platform providers who will offer the support for services, including hardware, protocol stacks and storage, instead of providing specific services. Meanwhile, operators and Internet service providers will become the main body of service development.展开更多
目的探讨Wilson病(Wilson disease,WD)患者冲动性对数字成瘾倾向的影响及其相关因素。方法纳入66例WD患者为研究对象,根据临床表现分为脑型组42例、肝型组24例。采用网络成瘾量表(internet addiction test,IAT)评估患者网络成瘾倾向,总...目的探讨Wilson病(Wilson disease,WD)患者冲动性对数字成瘾倾向的影响及其相关因素。方法纳入66例WD患者为研究对象,根据临床表现分为脑型组42例、肝型组24例。采用网络成瘾量表(internet addiction test,IAT)评估患者网络成瘾倾向,总分>50分界定为具有网络成瘾倾向;使用Barratt冲动量表中文版(the Chinese version of the Barratt impulsiveness scale,11version,BIS-11-C)评估患者冲动性;手机依赖量表(mobile phone addiction index,MPAI)评估对手机使用的依赖程度;通过颅脑MRI检查患者病变脑区的部位和累计频次。结果66例WD患者中有数字成瘾倾向者45例(68.2%),其中脑型组中35例(53.0%)、肝型组中10例(15.2%),两组成瘾倾向者比例差异有统计学意义(P=0.001)。脑型组患者在BIS-11-C、MPAI量表多项因子分上高于肝型组(P<0.05)。所有患者MPAI量表中失控性因子分与BIS-11-C量表中的注意力冲动性因子分(r=0.499,P=0.001)、运动冲动性因子分(r=0.553,P=0.001)、无计划冲动性因子分(r=0.535,P=0.001)、冲动控制总分(r=0.653,P=0.001)正相关。线性回归分析显示注意力冲动性因子分与额叶病变(B=-1.634,P=0.018)相关联,失控性因子分与额叶病变(B=-3.609,P=0.023)相关联,戒断性因子分与丘脑病变(B=-5.047,P=0.007)、额叶病变(B=-2.204,P=0.024)相关联,逃避性因子分与顶叶病变(B=-1.867,P=0.032)相关联,低效性因子分与壳核病变(B=-1.789,P=0.016)、额叶病变(B=-1.592,P=0.044)相关联。结论脑型WD患者较肝型有更高的数字成瘾倾向,数字成瘾倾向与冲动性相关。WD患者的数字成瘾倾向可能与壳核、丘脑、额叶等多个脑区病变引起的冲动控制障碍有关。展开更多
文摘We investigated factors contributing to Internet addiction in 105 Japanese medical students. The subjects were administered by a self-reporting questionnaire designed to evaluate demographic factors, Internet addiction, loneliness, health-related lifestyle factors, depressive state, patterns of behavior, and mobile phone dependence. Results of multivariate logistic regression analysis indicated that loneliness and mobile phone dependence were positively related to degree of addiction. Our findings suggest that Internet addiction is associated with loneliness and mobile phone dependence in Japanese students.
基金funded by the National High Technology Research and Development Program of China ("863" Program) under Grant No.2002AA1Z2306
文摘Along with the deployment of 3G networks and the launch of diversified mobile Internet services, network service modes and operation modes have greatly changed, and now the smart phone plays a key role. Accordingly, the key technologies for the smart phone, such as the application security management framework, application software authentication mechanism, interoperating capability and dynamic power management should be paid much attention to. The mobile phone vendors are gradually transforming into platform providers who will offer the support for services, including hardware, protocol stacks and storage, instead of providing specific services. Meanwhile, operators and Internet service providers will become the main body of service development.
文摘目的探讨Wilson病(Wilson disease,WD)患者冲动性对数字成瘾倾向的影响及其相关因素。方法纳入66例WD患者为研究对象,根据临床表现分为脑型组42例、肝型组24例。采用网络成瘾量表(internet addiction test,IAT)评估患者网络成瘾倾向,总分>50分界定为具有网络成瘾倾向;使用Barratt冲动量表中文版(the Chinese version of the Barratt impulsiveness scale,11version,BIS-11-C)评估患者冲动性;手机依赖量表(mobile phone addiction index,MPAI)评估对手机使用的依赖程度;通过颅脑MRI检查患者病变脑区的部位和累计频次。结果66例WD患者中有数字成瘾倾向者45例(68.2%),其中脑型组中35例(53.0%)、肝型组中10例(15.2%),两组成瘾倾向者比例差异有统计学意义(P=0.001)。脑型组患者在BIS-11-C、MPAI量表多项因子分上高于肝型组(P<0.05)。所有患者MPAI量表中失控性因子分与BIS-11-C量表中的注意力冲动性因子分(r=0.499,P=0.001)、运动冲动性因子分(r=0.553,P=0.001)、无计划冲动性因子分(r=0.535,P=0.001)、冲动控制总分(r=0.653,P=0.001)正相关。线性回归分析显示注意力冲动性因子分与额叶病变(B=-1.634,P=0.018)相关联,失控性因子分与额叶病变(B=-3.609,P=0.023)相关联,戒断性因子分与丘脑病变(B=-5.047,P=0.007)、额叶病变(B=-2.204,P=0.024)相关联,逃避性因子分与顶叶病变(B=-1.867,P=0.032)相关联,低效性因子分与壳核病变(B=-1.789,P=0.016)、额叶病变(B=-1.592,P=0.044)相关联。结论脑型WD患者较肝型有更高的数字成瘾倾向,数字成瘾倾向与冲动性相关。WD患者的数字成瘾倾向可能与壳核、丘脑、额叶等多个脑区病变引起的冲动控制障碍有关。
