Evidence map›Paper›PMID 38778859›Full record

ArticleIndian journal of psychiatry2024

The impact of online health information source preference on intolerance to uncertainty and cyberchondria in a youthful generation.

Ozkan Bahadir, Cihad Dundar

Abstract read
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Article in Indian journal of psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ozkan BahadirDepartment of Public Health, Faculty of Medicine, Ondokuz Mayıs University, Samsun, Türkiye.
Cihad DundarDepartment of Public Health, Faculty of Medicine, Ondokuz Mayıs University, Samsun, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The increasing utilization of the Internet to access health-related information is believed to heighten anxiety and trigger cyberchondria due to the presence of conflicting and sometimes overly detailed information. Aim: To investigate the levels of cyberchondria and intolerance of uncertainty among university students and their relationship with different online health information sources. Methods: Between June and July 2022, 420 university students (mean age = 21.5 ± 2 years, 54% female) participated in this cross-sectional study. The socio-demographic form, Uncertainty Intolerance Scale (IUS), and Cyberchondria Severity Scale (CSS) were used in data collection. Pearson correlation test and binary logistic regression analysis were used to identify factors associated with cyberchondria. Results: Forums and private hospital/clinic websites were the most frequently utilized online health information sources, while governmental websites were the least. The mean scores for CSS and IUS were 81.5 and 41.0, respectively. There was no significant gender-based difference in CSS and IUS scores. Students who used newspapers/magazines and social media for health information had significantly higher scores on both scales. Cyberchondria had a negative association with age [odds ratio (OR) = 0.90], a positive significant relationship with newspaper/magazine website use (OR = 7.24), and IUS score (OR = 1.09). There was a positive and moderate correlation between CSS and IUS scores (r = 0.39, Conclusions: Our results underline the susceptibility to cyberchondria and intolerance of uncertainty among young adults who used less reliable online health information sources and highlight promoting online health literacy to reduce vulnerabilities and the need for further research on socio-demographic determinants in both mental problems.

Indexed as

Cyberchondriaintolerance of uncertaintyonline health information sourceuniversity students

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