- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06440798
Mental Health Content and Mental Health Outcomes
Examining the Effects of Mental Health Content on Help-Seeking and Self-Diagnosing Behavior: Cross-sectional Survey Study
Study Overview
Status
Conditions
Detailed Description
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.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Sundarimaa Erdembileg
- Phone Number: +65 6601 1000
- Email: sundarimaa.e@u.yale-nus.edu.sg
Study Locations
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Singapore, Singapore
- Recruiting
- Yale-NUS
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Contact:
- Jean Liu, PhD
- Phone Number: +65 6601-3694
- Email: jeanliu@yale-nus.edu.sg
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Enrollment is restricted to healthy adults between 21-34 (or 18-34 for university students)
- Use at least one social media platform (e.g., Facebook, Instagram, LinkedIn, X)
- Participants need to be able to read and understand English.
- Participants must also have lived in Singapore for at least 2 years.
Exclusion Criteria:
- Anyone who does not feel comfortable answering questions related to mental health and exposure to mental health-related content online.
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Help-Seeking Behaviors
Time Frame: Through study completion, an average of 1 year
|
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
Time Frame: Through study completion, an average of 1 year
|
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
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Sundarimaa Erdembileg, Yale-NUS College
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- NUS-IRB-2023-864
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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