Barrault S, Durousseau F, Ballon N, Réveillère C, Brunault P
Département de psychologie, université François-Rabelais-de-Tours, EA 2114 « Psychologie des Âges de la Vie », 37000 Tours, France; CHRU de Tours, CSAPA-37, centre Port-Bretagne, 37000 Tours, France.
Département de psychologie, université François-Rabelais-de-Tours, EA 2114 « Psychologie des Âges de la Vie », 37000 Tours, France.
Encephale. 2019 Feb;45(1):53-59. doi: 10.1016/j.encep.2017.12.002. Epub 2018 Feb 3.
Since their first appearance in 1992 smartphones have improved constantly, and their use, combined with the rapid spread of the Internet, has increased dramatically. The recent emergence of this technology raises new issues, at both individual and societal levels. Several studies have investigated the physical and psychological harm that may be caused by smartphones. The issue of excessive smartphone use as an addictive disorder is frequently raised and debated, although it is not acknowledged in international classifications. In France, there is no validated assessment tool for smartphone addiction. Therefore, the aims of this research were: to validate a French translation of the Internet Addiction Test-smartphone version (IAT-smartphone); to study the links between smartphone addiction, Internet addiction, depression, anxiety and impulsivity.
Two hundred and sixteen participants from the general population were included in the study (January to February 2016), which was available online using Sphinx software. We assessed smartphone addiction (French version of the Internet Addiction Scale - smartphone version, IAT-smartphone), specificity of smartphone use (time spent, types of activity), Internet addiction (Internet Addiction Test, IAT), impulsivity (UPPS Impulsiveness Behavior Scale), and anxiety and depression (Hospital Anxiety and Depression scale, HAD). We tested the construct validity of the IAT-smartphone (exploratory factor analysis, internal consistency, non-parametric correlation tests for convergent validity). We also carried out multiple linear regressions to determine the factors associated with IAT-smartphone.
Mean age was 32.4±12.2 years; 75.5% of the participants were women. The IAT-smartphone had a one-factor structure (explaining 42 % of the variance), excellent internal consistency (α=0.93) and satisfactory convergent validity. Smartphone addiction was associated with Internet addiction (ρ=0.85), depression (ρ=0.31), anxiety (ρ=0.14), and some impulsivity subscales, including "negative urgency" (ρ=0.20; P<0.01), "positive urgency" (ρ=0.20; P<0.01), and "lack of perseverance" (ρ=0.16; P<0.05). Age was negatively associated with the IAT-S total score (ρ=-0.25; P<0.001), and there was a non-significant difference between the IAT-S total scores of men and women (29.3±10.2 vs. 32.7±12.4; P=0.06). Multiple linear regression showed that age, anxiety, depression, average time spent on the smartphone, impulsivity and Internet addiction explained 71.4 % of the variance of IAT-smartphone scores. However, this score dropped to 13.2 % when Internet addiction was removed from the model. This variable alone explained 70.8 % of the IAT-smartphone scores.
The French version of the IAT-smartphone is a reliable and valid questionnaire to assess smartphone addiction. This addiction appears to be strongly linked to anxiety, depression and impulsivity. The strong association between smartphone addiction and Internet addiction suggests that smartphone addiction is one of the many forms of Internet addiction. In fact, smartphones may not be the object of the addiction but rather a medium facilitating Internet access as it makes it possible to connect anywhere anytime. This raises the issue of the potential role of smartphones in speeding up and facilitating the development of Internet addiction.
自1992年首次出现以来,智能手机不断改进,其使用与互联网的迅速普及相结合,使用量急剧增加。这项技术最近的出现引发了个人和社会层面的新问题。多项研究调查了智能手机可能造成的身体和心理伤害。尽管国际分类中未承认,但过度使用智能手机作为一种成瘾性障碍的问题经常被提出和辩论。在法国,没有经过验证的智能手机成瘾评估工具。因此,本研究的目的是:验证互联网成瘾测试智能手机版(IAT-智能手机)的法语翻译;研究智能手机成瘾、网络成瘾、抑郁、焦虑和冲动之间的联系。
2016年1月至2月,研究纳入了216名来自普通人群的参与者,该研究通过Sphinx软件在线进行。我们评估了智能手机成瘾(互联网成瘾量表法语版 - 智能手机版,IAT-智能手机)、智能手机使用的特殊性(使用时间、活动类型)、网络成瘾(互联网成瘾测试,IAT)、冲动性(UPPS冲动行为量表)以及焦虑和抑郁(医院焦虑和抑郁量表,HAD)。我们测试了IAT-智能手机的结构效度(探索性因素分析、内部一致性、用于收敛效度的非参数相关测试)。我们还进行了多元线性回归以确定与IAT-智能手机相关的因素。
平均年龄为32.4±12.2岁;75.5%的参与者为女性。IAT-智能手机具有单因素结构(解释42%的方差),具有出色的内部一致性(α=0.93)和令人满意的收敛效度。智能手机成瘾与网络成瘾(ρ=0.85)、抑郁(ρ=0.31)、焦虑(ρ=0.14)以及一些冲动性子量表相关,包括“消极紧迫感”(ρ=0.20;P<0.01)、“积极紧迫感”(ρ=0.20;P<0.01)和“缺乏毅力”(ρ=0.16;P<0.05)。年龄与IAT-S总分呈负相关(ρ=-0.25;P<0.001),男性和女性的IAT-S总分之间无显著差异(29.3±10.2对32.7±12.4;P=0.06)。多元线性回归显示,年龄、焦虑、抑郁、在智能手机上花费的平均时间、冲动性和网络成瘾解释了IAT-智能手机得分方差的71.4%。然而,当从模型中去除网络成瘾时,该得分降至13.2%。仅该变量就解释了IAT-智能手机得分的70.8%。
IAT-智能手机的法语版是评估智能手机成瘾的可靠且有效的问卷。这种成瘾似乎与焦虑、抑郁和冲动性密切相关。智能手机成瘾与网络成瘾之间的强关联表明,智能手机成瘾是网络成瘾的多种形式之一。事实上,智能手机可能不是成瘾的对象,而是促进互联网接入的媒介,因为它使人们能够随时随地连接。这就提出了智能手机在加速和促进网络成瘾发展方面潜在作用的问题。