Faculty of Health Sciences, Artvin Çoruh University, Artvin, Turkey.
Distance Education Application and Research Center, Artvin Coruh University, Artvin, Turkey.
Arch Psychiatr Nurs. 2023 Jun;44:69-75. doi: 10.1016/j.apnu.2023.04.006. Epub 2023 Apr 22.
Netlessphobia (fear of being without the Internet) and nomophobia (fear of being without a smartphone/mobile phone) causes anxiety, discomfort, distress or nervousness during non-use of phones. Past studies assessing factors associated with nomophobia have not reported consistent results, and some uncertainties persist. Moreover, only a few studies have measured nomophobia among the general population, and no study has evaluated nomophobia and netlessphobia together. This cross-sectional study determined the factors strongly associated with nomophobia, with an intent toward reducing nomophobia-related negative consequences.
The study sample included 523 individuals. 'Demographic Characteristics Form', 'Fırat Nomophobia Scale' and 'Fırat Netlessphobia Scale' were used as data collection tools. The collected data were analysed using SPSS 26 and AMOS 23. Structural equation modelling was used for predicting factors associated with nomophobia, and the goodness-of-fit values of this model were investigated.
The variables netlessphobia, age, gender, marital status, education level, average time of daily use and average number of daily checks of smart devices were included in the estimated baseline model of the study. Among the independent variables with significant standardised regression coefficients in the model, the effect of 'netlessphobia' (91 %) was quite high. The effect of age variable, which was a significant contributor to netlessphobia in the model, was 15 %.
Netlessphobia and age are the factors that are strongly associated with nomophobia.
无网络恐惧症（害怕没有网络）和无手机恐惧症（害怕没有智能手机/手机）在手机不使用时会引起焦虑、不适、痛苦或紧张。过去评估与无手机恐惧症相关因素的研究并未报告一致的结果，一些不确定性仍然存在。此外，只有少数研究在普通人群中测量了无手机恐惧症，没有研究同时评估无手机恐惧症和无网络恐惧症。这项横断面研究确定了与无手机恐惧症强烈相关的因素，旨在减少与无手机恐惧症相关的负面后果。
研究样本包括 523 人。使用“人口统计学特征表”、“Fırat 无手机恐惧症量表”和“Fırat 无网络恐惧症量表”作为数据收集工具。使用 SPSS 26 和 AMOS 23 分析收集的数据。使用结构方程模型预测与无手机恐惧症相关的因素，并研究该模型的拟合优度值。
无网络恐惧症、年龄、性别、婚姻状况、教育水平、每天使用智能手机的平均时间和每天检查智能手机的平均次数等变量被纳入研究的估计基线模型。在模型中具有显著标准化回归系数的自变量中，“无网络恐惧症”的影响（91%）相当高。模型中对无网络恐惧症有显著贡献的年龄变量的影响为 15%。
无网络恐惧症和年龄是与无手机恐惧症密切相关的因素。
