Exploring the association between cyberchondria and attention to negative information

Abstract Objectives This study aimed to preliminarily evaluate the relationship between cyberchondria and attention to negative information. Methods The data utilized for this analysis was obtained from a cross-sectional and web-based survey conducted in China between March and April, 2024. All participants were recruited from an online panel belonging to a survey company. Cyberchondria was assessed using the Chinese version of the Cyberchondria Severity Scale - 12 item (CSS-12). Attention to negative information was measured using the negative subscale of the Attention to Positive and Negative Information Scale (APNIS). A multivariable linear regression model was employed to evaluate the relationship between cyberchondria and attention to negative information. Results Out of 344 participants, 315 (91.6% response rate) completed the questionnaire and provided valid responses. Approximately 51.7% (n = 163) were female, 83.8% (n = 264) had completed tertiary or higher education, and 52.7% (n = 166) were urban residents. The average age was 32.6 years (SD = 6.0). The mean score for CSS-12 was 40.6 (SD = 7.8, range: 18-59). The mean scores for the different dimensions of the CSS-12 were: excessiveness, 10.6 (SD = 2.4); distress, 10.3 (SD = 2.7); reassurance, 10.6 (SD = 2.5); and compulsion, 9.1 (SD = 2.7). The mean score for the negative subscale of APNIS was 31.9 (SD = 8.6, range = 12-52). Multivariable linear regression models revealed a statistically significant relationship between cyberchondria and attention to negative information (beta = 0.42, p < 0.001), after adjusting for background characteristics. Conclusions Our findings showed individuals with a higher level of cyberchondria tend to pay more attention to negative information. Therefore, it’s beneficial to develop strategies and interventions that provide accurate, balanced online health information and educate individuals about the risks of excessive online health searches. Key messages • Our findings showed individuals with a higher level of cyberchondria tend to pay more attention to negative information. • It is beneficial to develop strategies and interventions that provide accurate, balanced online health information.