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Examining the Effects of Mental Health Content on Help-Seeking and Self-Diagnosing Behavior: Cross-sectional Survey Study
The study will aim to explore the relationship between mental health content on social media and health behavior, addressing a gap in empirical research. Using the Theory of Planned Behavior, a survey with over 600 participants will examine associations between exposure to mental health content and behaviors like help-seeking and self-diagnosis.
Background: Mental health content has recently surged in popularity across social media. However, current empirical research lacks a comprehensive understanding of the relationship between mental health content and health behaviour. Objective: This study will aim to address this gap by examining different types of mental health content and their relationship to behavior. Specifically, it will explore whether exposure to mental health content will be associated with either positive behaviors, like help-seeking, or maladaptive ones, such as self-diagnosing. Methods: Utilizing the Theory of Planned Behavior, a cross-sectional epidemiological survey will be conducted with over 600 participants to answer the research questions. Baseline measures will include participants' exposure to various types of mental health content, and mental well-being (depression, anxiety, and scores from the DASS-21). The outcome measures of interest will be help-seeking attitude (IASMHS) and self-diagnosing (SELF-I) behavior.
Age
18 - 34 years
Sex
ALL
Healthy Volunteers
Yes
Yale-NUS
Singapore, Singapore
Start Date
January 1, 2024
Primary Completion Date
December 31, 2024
Completion Date
December 31, 2024
Last Updated
June 4, 2024
600
ESTIMATED participants
Lead Sponsor
Yale-NUS College
Data Source & Attribution
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