Relationship of childhood physical abuse and internet addiction disorder in adolescence: the mediating role of self-esteem / 中华流行病学杂志

Objective To find out whether the effects of childhood physical abuse on internet addiction disorder in adolescence could be mediated by self-esteem.Methods 3798 high school students selected from 76 classes in Grade One and Grade Two,were asked to fill in the anonymous questionnaire,which including the demographic characteristics of students,Young' s Internet Addiction Scale,Parent-Child Conflict Tactics Scales and Rosenberg' s Self-Esteem Scale.Results Childhood physical abuse could directly predict less self-esteem and internet addiction disorder (r=-0.108,P＜0.01,r=0.057,P＜0.01 ) and had significant indirect effects on intemet addiction disorder which could be mediated through self-esteem (a=-0.703,standardized b=-0.104,z=5.052,P＜0.001 ).Self-esteem had mediated 22.5％ of the childhood physical abuse cases on their internet addiction disorders during the period of adolescence.Conclusion Self-esteem could partially mediate the relationship between childhood physical abuse and internet addiction disorder.The mediating roles of self-esteem suggested that salient leverage points could make a change through empowerment training,self-esteem group training on self-esteem enhancement in the stage of adolescence.

Men Who Specifically Seek Unprotected Sex Partners via the Internet: Whose Profiles Are the Most Searched for by Other Site Users?

Men who have sex with men (MSM) account for the largest number of persons diagnosed with AIDS in the United States, with higher than-average rates of drug use and unprotected sex being cited as the principal reasons underlying their high rates of HIV infection. Recent evidence has suggested that the use of Web sites specifically designed to promote unsafe sexual practices may be particularly common among MSM, therebyfostering their risky behaviots. In light of these findings, the present study which compares HIV risk behaviors sought by men whose profiles are among the most frequently brought up in searches to those whose profiles ate not aspopular with other site users, is based on a content analysis of 1,316 ads/profiles posted on one of the most popular MSM Web sites that specifically fosters unprotected sex. Ads/profiles were selected randomly based on the American ZIP code of residence. Data were collected between September 2006 and January 2007. Rates of advertised-for high-risk sexual behaviots were very high both for men whose profiles were among the most popular and those whose profiles were not, particularly for oral sex involving ejaculation into the mouth, anal sex involving ejaculation into the anus, multiple partner sex, and fetching. Analytical comparisons of these groups showed that the most searched for profiles weæ thosepromoting the highest levels ofrisky behaviors and the greatest propensity toward wanting to engage in high-risk activities. Ihe HIV intenention-related implications of these findings are discussed.

The dominance analysis on predictive factors of internet addiction among junior high school students in Daqing city / 中华行为医学与脑科学杂志

Objective To explore the relative contribution on predictive factors of internet addiction among junior high school students in Daqing city,and provide basis for targeted intervention on internet addiction.Methods By delaminating grouping method, based on a sample of 646 were surveyed with Internet Addiction Impairment Index and other mental scales. Through dominance analysis, study the relative contribution of various predictive factors of internet addiction. Results The correlation coefficients of life events, social anxiety, depression and positive coping with internet addiction were respectively 0.39, 0.15, 0.12 and 0.09(P＜0.05). Hierarchical regression showed that the total variance of demography in predicting internet addiction was 15%;the total variance of life events, social support, coping styles and emotion variables in predicting internet addiction was 23%. After the variables of demography were controlled, the best predictors for internet addiction were life events,social anxiety, negative coping and objective support, and these four variables explained 18.5% of the total variance of intemet addiction. Dominance analysis indicated that for the regression equation in predicting internet addiction, life events contributed 84. 52%, social anxiety contributed 8. 21% and negative coping contributed 4.72%, objective support contributed 2.54% of the predicted variance. Conclusion Internet addiction should be taking targeted preventive interventions based on the specific reasons.