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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.
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| Measure | Description | Time Frame |
|---|---|---|
| Help-Seeking Behaviors | Inventory of Attitudes toward Seeking Mental Health Services (IASMHS). Items were on a 5-point Likert scale ranging from 0 ("Somewhat Disagree") to 4 ("Agree"). | Through study completion, an average of 1 year |
| Self-Diagnosing Behaviors for Mental Health | Self-identification as having a Mental Illness (SELF-I) scale. Items were on 5-point Likert scale ranging from 1 (Not true at all) to 5 (Completely True) | Through study completion, an average of 1 year |
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Inclusion Criteria:
Exclusion Criteria:
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Recruiting a representative sample of around 600 people through the National University of Singapore (NUS) and the general public in Singapore through physical posters or online platforms (e.g., the university's Work Scheme website, and research groups on Telegram).
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Sundarimaa Erdembileg | Contact | +65 6601 1000 | sundarimaa.e@u.yale-nus.edu.sg |
| Name | Affiliation | Role |
|---|---|---|
| Sundarimaa Erdembileg | Yale-NUS College | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Yale-NUS | Recruiting | Singapore | Singapore |
Given the sensitivity of mental health disclosures and the age of the population, no individual participant data will be shared as agreed upon with the IRB. Results will be published by the investigators in academic journals. Sharing of generated study data can be made available upon request by writing to the investigator(s).
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| ID | Term |
|---|---|
| D000066505 | Help-Seeking Behavior |
| D003863 | Depression |
| D001008 | Anxiety Disorders |
| ID | Term |
|---|---|
| D012919 | Social Behavior |
| D001519 | Behavior |
| D001526 | Behavioral Symptoms |
| D001523 | Mental Disorders |
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