Cyberchondria and internet addiction among nurses: Online study of predictors and differences.
Cyberchondria, characterized by excessive online health-related searches, mirrors patterns of internet addiction. This study investigates differences and predictors of cyberchondria and internet addiction among nurses. In January 2024, data were gathered from 370 nurses using a cross-sectional onlin...
| Publicado en: | Archives of Psychiatric Nursing Vol. 60 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Feb2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=192377808&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192377808 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08839417 45D jtl: Archives of Psychiatric Nursing issn: 08839417 maglogo: N pubinfo: dt: Feb2026 vid: 60 pid: 82545 pub: Elsevier B.V. place: Philadelphia, Pennsylvania artinfo: ui: 192377808 192377808 192377808 10.1016/j.apnu.2025.152022 192377808 ppct: 1 formats: tig: atl: Cyberchondria and internet addiction among nurses: Online study of predictors and differences. aug: au: Algunmeeyn, Abdullah Mrayyan, Majd T. affil: Community Health Nursing, School of Nursing, The University of Jordan, Amman, Jordan sug: subj: Information Seeking Behavior Internet Addiction Psychosocial Factors Nurses Psychosocial Factors Human Consumer Health Information Cross Sectional Studies Convenience Sample Descriptive Statistics Analysis of Variance Pearson's Correlation Coefficient Spearman's Rank Correlation Coefficient Multiple Linear Regression Regression ab: Cyberchondria, characterized by excessive online health-related searches, mirrors patterns of internet addiction. This study investigates differences and predictors of cyberchondria and internet addiction among nurses. In January 2024, data were gathered from 370 nurses using a cross-sectional online survey and convenience sampling. Descriptive statistics, ANOVA, Pearson and Spearman correlations, and multiple linear regression analyses were performed. Nurses demonstrated elevated cyberchondria severity (CSS M = 3.50, SE = 0.63) and mild internet addiction (IAT M = 42.94). ANOVA results indicated significant group differences in cyberchondria by age (F = 3.74, p = 0.011) and education level (F = 7.07, p = 0.001), with younger nurses (age < 25) and those holding baccalaureate/master's degrees scoring highest. Similarly, internet addiction differed by age (F = 7.72, p = 0.001), education (F = 6.29, p = 0.001), and clinical experience (F = 4.13, p = 0.003), with junior nurses (<2 years' experience) exhibiting higher scores. A strong positive correlation linked cyberchondria and internet addiction (r = 0.606, p < 0.01). Regression models revealed internet addiction accounted for 43.9 % of cyberchondria variance (p < 0.001). In comparison, cyberchondria and age jointly predicted 45.6 % of internet addiction variance (p < 0.001). Cyberchondria and internet addiction among nurses are interrelated, with age and education as shared predictors. Younger, less experienced nurses exhibited higher levels of both conditions. These findings highlight the need for specific and tailored interventions to promote healthy internet use and mitigate health-related anxiety in nursing practice. • First Middle Eastern Study • First investigation of both cyberchondria and internet addiction among nurses in Jordan, addressing a critical gap in regional research. • High Prevalence of Cyberchondria • Nurses exhibited elevated cyberchondria (M = 3.50, SE = 0.63), with 71.9% under age 25 showing the highest levels. • Mild Internet Addiction • Internet addiction was mild overall (M = 42.94) but significantly linked to cyberchondria (*r* = 0.606, *p* < 0.01). • Key Predictors Identified • Age : Younger nurses (<25 years) had higher cyberchondria (F = 3.74, *p* = 0.011) and internet addiction (F = 7.72, *p* = 0.001). • Education : Baccalaureate/Master's holders scored higher in cyberchondria (F = 7.07, *p* = 0.001), while Doctorate nurses had lower internet addiction. • Experience : Junior nurses (<2 years) showed greater internet addiction (F = 4.13, *p* = 0.003). pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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