塞尔维亚和黑山的网络性成瘾

IF 0.4 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS IPSI BgD Transactions on Internet Research Pub Date : 2022-07-01 DOI:10.58245/ipsi.tir.2201.07
B. Đukanović, Irena Petrušić, Gorana Bandalović, A. Maksimović, Silva Banović
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引用次数: 0

摘要

在这项研究中,作者分析了来自不同年龄组的代表性样本,包括来自塞尔维亚的2948名受访者和来自黑山的1486名受访者的色情网站使用问题和网络性成瘾。采用标准问卷,共33个问题,答案采用二进制形式。除了流行病学指标外,该研究还包括9个家庭风险因素和6个与早期社会心理发育障碍相关的风险因素。最后,描述了塞尔维亚和黑山网络性成瘾者的社会概况。调查结果显示,网络性成瘾者主要是20 ~ 30岁的年轻人。总体依赖率估计在平均限度之内。总的来说,网络性成瘾是所有行为成瘾中最低的。作者认为,这是因为这种成瘾对成瘾行为模式的发展具有最大的潜力,而且这种成瘾与赌博成瘾一起对其他行为成瘾的出现和发展具有很大的预测性。所有被检查的风险因素(除了害羞和沉默)都将网络性成瘾者与那些没有列出的风险因素的人“区分开来”。然而,一项使用二元逻辑回归对网络性成瘾预测的检验显示,青少年早期的攻击性和犯罪行为,其次是教育和亲子关系障碍,对网络性成瘾的预测价值最高。社会概况是不明确的和非结构化的,作者解释说,生物因素,而不是社会学和社会文化因素在形成成瘾行为模式中起主导作用。
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Internet Sex Addiction in Serbia and Montenegro
In this study, the authors analyzed the problematic use of pornographic websites and Internet sex addiction in representative samples of respondents from different age groups including 2948 respondents from Serbia and 1486 from Montenegro. A standard questionnaire of 33 questions with answers in binary form was used. In addition to epidemiological indicators, the study also included nine family risk factors and six risk factors associated with early psychosocial developmental disorders. Finally, the social profiles of Internet sex addicts in Serbia and Montenegro were described. The results of the research showed that Internet sex addicts are mostly young adults aged 20 to 30. The overall dependency rate was estimated within average limits. In general, Internet sex addiction is among the lowest of all behavioral addictions. The authors see the reason for this in the greatest potency of this addiction for the development of addictive patterns of behavior, but also in the great predictiveness of this addiction together with the gambling addiction for the emergence and development of other behavioral addictions. All examined risk factors (except for shyness and reticence) do "separate" Internet sex addicts from those who do not have the listed risk factors at zero level of significance. However, an examination of the prediction of Internet sex addiction using binary logistic regression showed that aggressive and criminal behaviors in early youth, followed by disorders in educational and emotional relations between parents and children, have the highest predictive values for Internet sex addiction. Social profiles are unclear and unstructured, and the authors explain this by the fact that biological, not sociological, and sociocultural factors play a dominant role in developing addictive patterns of behavior.
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IPSI BgD Transactions on Internet Research
IPSI BgD Transactions on Internet Research COMPUTER SCIENCE, INFORMATION SYSTEMS-
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