Durak Batıgün Ayşegül, Şenkal Ertürk İpek, Gör Nağme, Kömürcü Akik Burcu
Department of Psychology, Faculty of Languages History and Geography, Ankara University, PC: 06100 - Sıhhiye, Ankara, Turkey.
Department of Psychology, School of Humanities and Social Sciences, Istanbul Medipol University, Kavacık South Campus, Göztepe Mahallesi Atatürk Caddesi No 40/16 PC: 34815 Beykoz, Istanbul, Turkey.
Curr Psychol. 2021;40(11):5718-5726. doi: 10.1007/s12144-020-01038-y. Epub 2020 Sep 5.
The use of the Internet for medical information elicited a recent term called "cyberchondria". This study aimed to scrutinize the mediating effects of health anxiety (HA), anxiety symptoms (AS), and Internet addiction (IA) in the pathway from distress tolerance (DT) to cyberchondria by using a bootstrapping method. In order to examine the role of age in the proposed model, multiple-group path analysis was used to evaluate differences between young and middle adulthood groups. The final sample consisted of both young adult ( = 209) and middle adult ( = 221) Internet users located in Ankara, Turkey. The results of path analyses for both age groups showed that DT is negatively associated with AS and HA; AS and HA are positively associated with IA; IA and HA are positively associated with cyberchondria. Mediation analysis for both age groups demonstrated that AS and HA significantly mediated the relationship between DT and IA; IA significantly mediated the relationships of AS and HA with cyberchondria; HA significantly mediated the relationship between DT and cyberchondria. The results of the multiple-group path analysis showed that the relationship between IA and cyberchondria is significantly stronger in middle adulthood than young adulthood. The results of the current study are consistent with the relevant literature and provide crucial contribution especially by focusing on the role of age.
利用互联网获取医疗信息引发了一个最近出现的术语——“网络疑病症”。本研究旨在通过自抽样法,仔细审查健康焦虑(HA)、焦虑症状(AS)和网络成瘾(IA)在从痛苦耐受力(DT)到网络疑病症这一路径中的中介作用。为了检验年龄在该模型中的作用,采用多组路径分析来评估青年组和中年组之间的差异。最终样本包括位于土耳其安卡拉的209名青年互联网用户和221名中年互联网用户。两个年龄组的路径分析结果表明,DT与AS和HA呈负相关;AS和HA与IA呈正相关;IA和HA与网络疑病症呈正相关。两个年龄组的中介分析表明,AS和HA显著中介了DT与IA之间的关系;IA显著中介了AS和HA与网络疑病症之间的关系;HA显著中介了DT与网络疑病症之间的关系。多组路径分析结果表明,中年组中IA与网络疑病症之间的关系比青年组更强。本研究结果与相关文献一致,特别是通过关注年龄的作用提供了重要贡献。