The logic behind cyberchondria: Longitudinal relations among risk perception, health anxiety, and online health information seeking

Abstract The cyberchondria phenomenon presents a significant health concern, yet there remains a relative scarcity of research on the formation mechanisms of cyberchondria and its longitudinal studies. Based on the RISP model and C‐A‐C framework, this study aimed to examine the longitudinal associations between risk perception, health anxiety, and online health information seeking (OHIS) within the context of Chinese social media. We used a three‐wave longitudinal survey with 514 participants at one‐month intervals starting September 2023, employing the Random Intercept Cross‐Lagged Panel Model (RI‐CLPM) for data analysis. At the between‐person level, we solely observed significant negative associations between health anxiety and OHIS. At the within‐person level, (1) positively bidirectional associations were noted among the three main variables; (2) causal relationships were identified between risk perception and OHIS, as well as between health anxiety and OHIS; (3) Health anxiety partially mediated the relationship between risk perception and OHIS, and OHIS fully mediated the relationship between health anxiety at T1 and T3; and (4) multi‐group analyses showed that gender differences in RI‐CLPM were significant, while age differences were insignificant. The results offer theoretical and practical insights for health practitioners, information seekers, and social media platforms.

Authors

Institutions

Publication Details

Journal
Journal of the Association for Information Science and Technology
Published
2024-08-05
DOI
https://doi.org/10.1002/asi.24946
Citations
5
Primary Topic
Psychosomatic Disorders and Their Treatments
Type
article
Field-Weighted Citation Impact
1.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The logic behind cyberchondria: Longitudinal relations among risk perception, health anxiety, and online health information seeking

D.J. Min, Yanhui Song
5 citations
Journal of the Association for Information Science and Technology
Psychosomatic Disorders and Their Treatments
1.93
article

The logic behind cyberchondria: Longitudinal relations among risk perception, health anxiety, and online health information seeking

D.J. Min, Yanhui Song
article en
5 citations

Abstract

Abstract The cyberchondria phenomenon presents a significant health concern, yet there remains a relative scarcity of research on the formation mechanisms of cyberchondria and its longitudinal studies. Based on the RISP model and C‐A‐C framework, this study aimed to examine the longitudinal associations between risk perception, health anxiety, and online health information seeking (OHIS) within the context of Chinese social media. We used a three‐wave longitudinal survey with 514 participants at one‐month intervals starting September 2023, employing the Random Intercept Cross‐Lagged Panel Model (RI‐CLPM) for data analysis. At the between‐person level, we solely observed significant negative associations between health anxiety and OHIS. At the within‐person level, (1) positively bidirectional associations were noted among the three main variables; (2) causal relationships were identified between risk perception and OHIS, as well as between health anxiety and OHIS; (3) Health anxiety partially mediated the relationship between risk perception and OHIS, and OHIS fully mediated the relationship between health anxiety at T1 and T3; and (4) multi‐group analyses showed that gender differences in RI‐CLPM were significant, while age differences were insignificant. The results offer theoretical and practical insights for health practitioners, information seekers, and social media platforms.

Journal of the Association for Information Science and TechnologyVol. 76(3)
Hangzhou Dianzi University (CN)
Openalex Percentile: Top 13%
Psychosomatic Disorders and Their Treatments
1.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.