ArticleCureus2022
Excessive and Unreliable Health Information and Its Predictability for Anxiety: A Cross-Sectional Observational Study.
Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Cyberchondria in the Spinal Surgery Pathway: A Scoping Review of its Impact on Preoperative Distress and Postoperative Pain Outcomes.Global spine journal · 2026Review
- The prevalence and determinants of health anxiety during the covid-19 pandemic: A systematic review and meta-analysis.PLOS mental health · 2024Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionBeing ignorant or unaware is not expected in a situation like the pandemic of COVID-19 with modern internet connectivity and the era of social media. However, information overload may itself lead to health anxiety. AIMS AND
objectivesThis study investigated the predictability of health anxiety with information overload and sociodemographic profiles during the COVID-19 pandemic. MATERIALS AND
methodsA cross-sectional study was done among 400 caretakers of non-covid patients in a tertiary healthcare medical college. The consenting participants provided their sociodemographic details and responded to the short health anxiety inventory (SHAI), Beck anxiety inventory (BAI) and Information overload scale (IOS) for COVID-19.
resultsA total number of 400 participants aged 35.58 ± 10.57 years participated and out of which 88.2% acknowledged health-related anxiety and 56.8% for excessive use of social media. BAI measured anxiety was mild for 19.8%, moderate for 3.5% and severe for 3%. The linear regression analysis predicted health anxiety by three variables only: total anxiety as measured by the Beck anxiety inventory [β = 0.416, t = 9.318, p = 0.000], information overload (rejection of information) [β = 0.171, t = 3.126, p = 0.002], and excessive use of social media [β = 0.124, t = 2.888, p = 0.004].
conclusionInformation overload, its rejection and excessive use of social media were found to be predictive of health-related anxiety.
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Registered trials
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