Internet addiction disorder become one of the major health risk behavior in adolescents, and the mechanism has not been elucidated, it is a key technical problems of prevention and control in internet addiction disorder. Studies have shown that the interaction between chronic stress and serotonin transporter (5-HTT) gene play a role in predicting initiation and progress of substance addiction and pathological gambling, and there may be a same mechanism of internet addiction disorder and other addiction behaviors, so we deduce that the interaction between chronic stress and 5-HTT gene may predict the initiation and progress of internet addiction disorder. In order to test the hypothesis, We establish a follow-up cohort of 4,000 students in high school, and follow up every six months for two years. During this period, We collected demographic, chronic stress level through hair cortisol, state of internet addiction through internet addiction impairment index and DNA will be got out through the saliva, the tag SNP of 5-HTT gene will be detect, and the susceptible haplotype of the internet addiction disorder will be find out. Then, combine with the data of chronic stress, 5-HTT gene and internet addiction disorder, using generalized multifactor dimensionality reduction and hierarchical linear model to elucidate the predictive value of interaction between chronic stress and 5-HTT gene in the initiation and progress of internet addiction disorder in adolescent.
网络成瘾现已成为青少年主要的健康危害行为之一,其发生、发展机制尚未阐明,这是严重制约网络成瘾预防控制的关键技术。研究显示,慢性应激和5-羟色胺转运体(5-HTT)基因交互作用对物质成瘾和赌博成瘾的发生和发展有预测作用,而网络成瘾和其他成瘾行为可能存在相同的致病机制。因此,本次研究提出慢性应激和5-HTT基因交互效应对网络成瘾发生和发展有预测作用的假设。为了验证该假设,本研究在中学生中建立随访队列,每隔6个月随访一次,共进行4次为期2年的随访观察,期间采用网络成瘾诊断量表判断网络成瘾状态、头发皮质醇含量反映慢性应激水平以及通过采集唾液提取DNA,进行5-羟色胺转运体基因tag SNP的测定,获得对网络成瘾易感的SNP位点和单倍体型,结合慢性应激、5-HTT基因和网络成瘾资料利用广义多因子降维法、多层线性模型探讨慢性应激与5-HTT基因交互效应对网络成瘾发生和发展的预测作用。
网络成瘾现已成为青少年主要的健康危害行为之一,其发生、发展机制尚未阐明,这是严重制约网络成瘾预防控制的关键技术。研究显示,应激和5-羟色胺转运体(5-HTT)基因交互作用对物质成瘾和赌博成瘾的发生和发展有关,而网络成瘾和其他成瘾行为可能存在相同的致病机制。本研究在高职学院学生中建立随访队列,采用巢式病例对照研究,选取病例和对照各122例,使用青少年生活事件量表对负性生活事件进行评估,采用LDR对5-HTT基因多态性进行检测。基因型及等位基因分布比较用UNPHASE软件,应激与5-HTT基因多态性的交互作用通过多元Logistic回归实现。结果发现5-HTT基因(rs2020942、rs6354、rs12449783和rs3794808)的基因型在网络成瘾组和对照组间未发现统计学差异(χ2=3.339,P=0.188;χ2=2,270,P=0.321;χ2=3.852,P=0.146;χ2=0.861,P=0.650),同时,未发现基因与应激的交互作用与网络成瘾之间相关。研究结果可以为全面认识和理解IAD发生机制提供一些基础资料。
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数据更新时间:2023-05-31
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