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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Dec 30, 2024
Open Peer Review Period: Dec 30, 2024 - Feb 24, 2025
Date Accepted: May 21, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Development and Validation of a Depression Scale for Online Assessment: Cross-Sectional Observational Study

Jeon , Park HI, Hyun JW, Son Y, Park JY

Development and Validation of a Depression Scale for Online Assessment: Cross-Sectional Observational Study

J Med Internet Res 2025;27:e70689

DOI: 10.2196/70689

PMID: 40690289

PMCID: 12337799

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Development and Validation of Depression Scale for Online Assessment: Cross-Sectional Observational Study

  • Minjeong Jeon; 
  • Hae-In Park; 
  • Ji Won Hyun; 
  • Yoorianna Son; 
  • Jin Young Park

ABSTRACT

Background:

Modern social, demographic, and technological changes have significantly influenced the expression and evaluation of depression. With the rise of social media, traditional tools may fail to capture contemporary expressions of depressive symptoms, necessitating the development of new assessment measures tailored for the digital context.

Objective:

This study aimed to develop and validate the Depression Scale for Online Assessment (DSO), a tool specifically designed to capture modern expressions of depression, particularly those reflected on social media.

Methods:

A cross-sectional, observational study was conducted with a community sample of 1,216 adults. The scale’s items were developed based on expert reviews and social media research. Exploratory and confirmatory factor analyses were conducted to identify and validate the underlying factors. Convergent validity was assessed by comparing the DSO with established depression scales, including the K-CESD-R and PHQ-9.

Results:

The exploratory and confirmatory factor analysis demonstrated excellent internal consistency for the DSO. Strong convergent validity was observed with the K-CESD-R and PHQ-9, confirming the DSO’s robustness. The scale was found to align with contemporary communication styles and was user-friendly in format.

Conclusions:

The DSO addresses a critical gap in mental health assessment for the digital era. By reflecting modern expressions of depression and offering a practical design, the scale holds significant potential for application in both clinical and research settings.


 Citation

Please cite as:

Jeon , Park HI, Hyun JW, Son Y, Park JY

Development and Validation of a Depression Scale for Online Assessment: Cross-Sectional Observational Study

J Med Internet Res 2025;27:e70689

DOI: 10.2196/70689

PMID: 40690289

PMCID: 12337799

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