新冠肺炎疫情与美国网络成瘾负担

IF 1.2 Q4 PSYCHIATRY Psychiatry international Pub Date : 2021-11-04 DOI:10.3390/psychiatryint2040031
J. Khubchandani, S. Sharma, J. Price
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引用次数: 9

摘要

尽管互联网被广泛使用,但在疫情期间,人们对美国人的网瘾知之甚少。通过MTurk在线部署了一份有效可靠的问卷,以招募全国成年美国人样本,以了解网络成瘾的性质和程度。共有1305人参与了这项研究,其中大多数是男性(64%),白人(78%),非西班牙裔(70%),已婚(72%),18-35岁(57%),全职工作(86%),拥有学士学位或更高学位(83%)。网络成瘾的患病率分布为无成瘾(45%)、可能成瘾或有成瘾风险(41%)和明确或严重成瘾(14%)。超过四分之一的人患有抑郁症(28%)或焦虑症(25%)。尽管对社会人口学特征进行了调整,但在多元回归分析中,明确/严重的网络成瘾对抑郁、焦虑和心理困扰具有很强的预测作用。那些可能上瘾或有上瘾风险的人也更容易抑郁或焦虑。与大流行前的估计相比,这项研究表明,在COVID-19大流行期间,美国成年人的网瘾有所增加。基于人群的干预措施和心理健康促进战略应侧重于减少互联网消费和屏幕时间。
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COVID-19 Pandemic and the Burden of Internet Addiction in the United States
Despite the extensive usage of the internet, little is known about internet addiction among Americans during the pandemic. A valid and reliable questionnaire was deployed online via MTurk to recruit a national sample of adult Americans to understand the nature and extent of internet addiction. A total of 1305 individuals participated in the study where the majority were males (64%), whites (78%), non-Hispanic (70%), married (72%), 18–35 years old (57%), employed full time (86%), and with a Bachelor’s degree or higher (83%). The prevalence of internet addiction was distributed as no addiction (45%), probable addiction or risk of addiction (41%), and definite or severe addiction (14%). More than a fourth of the population had depression (28%) or anxiety (25%). Despite adjusting for sociodemographic characteristics, definite/severe internet addiction was strongly predictive of depression, anxiety, and psychological distress in multiple regression analyses. Those who were probably addicted or at risk of addiction were also more likely to have depression or anxiety. Compared to estimates before the pandemic, this study suggests an increase in internet addiction among U.S. adults during the COVID-19 pandemic. Population-based interventions and mental health promotion strategies should focus on a reduction in internet consumption and screen time.
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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
0
审稿时长
11 weeks
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