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Are males more likely to be addicted to the internet than females? A meta-analysis involving 34 global jurisdictions

机译:男性比女性更容易沉迷于互联网吗?涉及34个全球管辖区的荟萃分析

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摘要

Internet addiction (IA) is prevalent and associated with negative measures of health functioning, with males appearing more vulnerable than females. However, little is known about gender-related differences in the effect sizes of IA globally. This multinational meta-analysis addresses this gap in knowledge by providing estimates of effect sizes of gender-related differences in IA tendencies across jurisdictions and how they relate to global national indexes including gross domestic product (GDP) per capita, internet penetration, gender-related gaps in economies, internet penetration, alcohol consumption, smoking prevalence, life satisfaction and suicide rates. One-hundred-and-one studies consisting of 115 independent samples involving 204,352 participants from 34 countries/regions were identified. The average effect size of gender-related differences in IA in a random-effects model was small at g = 0.145. The highest gender-related effect sizes were in Asia with g = 0.208, and the lowest were in the North America with g = 0.049, Africa with g = 0.092 and Europe with g = 0.114. Meta regression revealed that smaller effect sizes were observed in nations with greater GDP per capita and higher internet penetration. As operationalized, both the internet availability and social norms hypotheses were supported by effect sizes being positively related to gender-related differences in economic measures, internet penetration, smoking prevalence and alcohol consumption. The Psychological Well-being hypothesis was largely not supported, since the effect sizes were unrelated to gender-related differences in life satisfaction and negatively related to gender-related differences in suicide rates. Findings suggest economic factors, internet availability, social norms and some addiction-related health factors may relate importantly to gender-related differences in IA tendencies across countries.
机译:网络成瘾(IA)很普遍,并且与健康功能的负面衡量有关,男性比女性显得更脆弱。然而,人们对全球范围内IA影响大小的性别相关差异知之甚少。这项多国荟萃分析通过提供跨辖区IA趋势中与性别相关的差异的影响大小的估计值以及它们与人均国内生产总值(GDP),互联网普及率,性别相关的全球国家指数的关系来估计知识方面的差距经济差距,互联网普及率,饮酒量,吸烟率,生活满意度和自杀率。确定了一百一十一项研究,包括115个独立样本,涉及来自34个国家/地区的204,352名参与者。在随机效应模型中,IA中性别相关差异的平均效应大小在g = 0.145时很小。与性别相关的效应最大,在亚洲为g = 0.208,而在北美为最低,为g = 0.049,非洲为g = 0.092,欧洲为g = 0.114。 Meta回归显示,在人均GDP较高且互联网普及率较高的国家中,观察到的影响较小。在投入运营时,互联网的可用性和社会规范假设均得到了与经济措施,互联网普及率,吸烟率和饮酒量与性别相关的差异呈正相关的效应规模的支持。心理健康假说在很大程度上没有得到支持,因为影响的大小与生活满意度中与性别相关的差异无关,而与自杀率中与性别相关的差异负相关。研究结果表明,经济因素,互联网可用性,社会规范以及一些与成瘾相关的健康因素可能与各国IA倾向中与性别相关的差异具有重要关系。

著录项

  • 来源
    《Computers in Human Behavior》 |2019年第10期|86-100|共15页
  • 作者单位

    Fuzhou Univ, Sch Humanities & Social Sci, Dept Appl Psychol, Fuzhou 350108, Fujian, Peoples R China|Fuzhou Univ, Inst Psychol & Cognit Sci, Fuzhou, Fujian, Peoples R China;

    Fuzhou Univ, Sch Humanities & Social Sci, Dept Appl Psychol, Fuzhou 350108, Fujian, Peoples R China;

    Fuzhou Univ, Sch Humanities & Social Sci, Dept Appl Psychol, Fuzhou 350108, Fujian, Peoples R China;

    Fuzhou Univ, Sch Humanities & Social Sci, Dept Appl Psychol, Fuzhou 350108, Fujian, Peoples R China;

    Yale Univ, Sch Med, Dept Psychiat, Child Study Ctr,Dept Neurosci, New Haven, CT USA|Connecticut Mental Hlth Ctr, New Haven, CT USA|Connecticut Council Problem Gambling, Wethersfield, CT USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Internet addiction; Problematic intemet use; Gender difference; Gender inequality; Meta-analysis;

    机译:互联网成瘾;有问题的互联网使用;性别差异;性别不平等;Meta分析;

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