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Related Experiment Video

Updated: Jul 4, 2026

Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling
06:04

Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling

Published on: January 17, 2025

The Hidden Majority: Dual-Factor Mental Health Profiles Among Help-Avoidant University Students.

Yuhan Hu1, Marloes Nederhand2, Ruth Van der Hallen2

  • 1Department of Psychology, Education & Child Studies, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands. hyh.wusan@outlook.com.

Journal of Youth and Adolescence
|July 3, 2026
PubMed
Summary

University students often avoid professional mental health support. This study identified four distinct mental health profiles, revealing significant differences between help-avoidant and help-seeking students, crucial for targeted interventions.

Keywords:
Dual-factor mental healthHelp avoidanceProfilesWell-being

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Last Updated: Jul 4, 2026

Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling
06:04

Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling

Published on: January 17, 2025

Area of Science:

  • Psychology
  • Mental Health Research
  • Higher Education Studies

Background:

  • Many university students face mental health challenges but do not seek professional help.
  • Existing research links mental health to help-seeking, but profiles of help-avoidant students remain unclear.
  • Understanding these profiles is vital for effective support strategies.

Purpose of the Study:

  • To map mental health profiles of university students using a dual-factor model (well-being and psychopathology).
  • To compare the profiles of help-avoidant students with those seeking help.
  • To identify demographic predictors of mental health profile membership.

Main Methods:

  • Utilized a dual-factor model integrating subjective well-being and psychopathology.
  • Analyzed data from 8,679 university students across seven Dutch universities.
  • Compared mental health profiles of help-avoidant students (n=2,023) with help-seeking groups.

Main Results:

  • Identified four distinct mental health profiles: 'Complete Mental Health', 'Symptomatic but Content', 'Vulnerable', and 'Troubled'.
  • Profile structures differed significantly between help-avoidant and help-seeking students.
  • Insomnia severity increased progressively from the 'Complete Mental Health' to the 'Troubled' profile.

Conclusions:

  • University student mental health is heterogeneous, even among those not seeking help.
  • The dual-factor model effectively differentiates student mental health profiles.
  • Findings emphasize the need for comprehensive screening to guide targeted interventions for diverse student needs.