| Unique ID issued by UMIN | UMIN000062520 |
|---|---|
| Receipt number | R000071563 |
| Scientific Title | Development of Wellbeing Assessment Measures for University Students and Youth and Examination of Its Associated Factors |
| Date of disclosure of the study information | 2026/08/31 |
| Last modified on | 2026/08/07 19:20:40 |
Youth Wellbeing Questionnaire Survey
Youth Wellbeing Survey
Development of Wellbeing Assessment Measures for University Students and Youth and Examination of Its Associated Factors
WISE(Wellbeing In Students and Emerging adults)
| Japan |
Not Applicable
| Not applicable | Adult |
Others
NO
The purpose of this study is to examine methods for assessing wellbeing among university students and youth, and to identify the factors associated with their wellbeing, thereby informing the development of approaches to enhance wellbeing and the improvement of counseling and support services.
Others
The purpose of this study is to explore a range of factors potentially associated with wellbeing and to propose theoretical hypotheses regarding how wellbeing is fostered.
Exploratory
Explanatory
Not applicable
Standardisation of wellbeing measures (WHO-5 Well-Being Index, Warwick-Edinburgh Mental Well-being Scale, Cantril Ladder, Human Rights-Based Wellbeing Checklist, Interdependent Happiness Scale)
Mental health (K-6, psychotic-like experiences, suicidal ideation, self-harm)
Social media use (Social Media Disorder Scale)
Adverse childhood experiences, trauma exposure and PTSD (PTSD Checklist for DSM-5)
Social support (Oslo Social Support Scale)
Loneliness (UCLA Loneliness Scale)
Sleep disturbance (Athens Insomnia Scale)
Young carer experiences (Young Carers Scale, Japanese version)
Generative AI use (original items)
Help-seeking attitudes (Japanese version of the ATSPPH-SF)
Over-Adaptation Scale for Adults
Other original items (climate change, armed conflict, health behaviors, etc.)
Observational
| 18 | years-old | <= |
| 65 | years-old | > |
Male and Female
1) Residents of Japan:
those aged 18-29 years old including students(vocational colleges, technical colleges, universities, and graduate schools), employed individuals, and individuals not in employment
employed individuals aged 30-64 years old
2) Able to respond to the questionnaire items in Japanese
No exclusion criteria are applied.
5000
| 1st name | Eizaburo |
| Middle name | |
| Last name | Tanaka |
The University of Tokyo
Center for Research on Counseling and Support Services, Campus Wellbeing Promotion Unit
1138654
7-3-1 Hongo Bunkyoku Tokyo
09099687695
eizaburo-tanaka@g.ecc.u-tokyo.ac.jp
| 1st name | Eizaburo |
| Middle name | |
| Last name | Tanaka |
The University of Tokyo
Center for Research on Counseling and Support Services, Campus Wellbeing Promotion Unit
1138654
7-3-1 Hongo Bunkyoku Tokyo
09099687695
eizaburo-tanaka@g.ecc.u-tokyo.ac.jp
The University of Tokyo
Ministry of Education, Culture, Sports, Science and Technology
Japanese Governmental office
The University of Tokyo, Life Science Ethics and Safety
7-3-1 Hongo Bunkyoku Tokyo
0338122111
lifescience@adm.u-tokyo.ac.jp
NO
| 2026 | Year | 08 | Month | 31 | Day |
Unpublished
Preinitiation
| 2026 | Year | 01 | Month | 08 | Day |
| 2026 | Year | 02 | Month | 04 | Day |
| 2026 | Year | 08 | Month | 31 | Day |
| 2030 | Year | 03 | Month | 31 | Day |
In this study, a self-administered online questionnaire survey will be conducted with participants recruited through a Japanese survey company: 2000 students aged 18-29, 1000 non-students in the same age range, and 2000 employed individuals aged 30-64. The survey items comprise primary outcome measures (wellbeing-related indicators), secondary outcome measures (mental health and related domains), and basic demographic characteristics.
After descriptive statistics are calculated, the cross-sectional data will be analysed as follows:
Assessment of the reliability and validity of the WHO-5 in the general adult population
Association between social media use disorder and wellbeing, and public opinion regarding the appropriate age for initiating social media use
Association between young carer experiences and wellbeing
Associations of adverse childhood experiences, trauma exposure, and PTSD with wellbeing
Assessment of the reliability and validity of the Human Rights-Based Wellbeing Checklist
Association between AI use and wellbeing
Exploration of other factors associated with wellbeing
Linear regression or logistic regression analyses will be conducted to examine the relationships between exposure variables and wellbeing after adjustment for related factors.
| 2026 | Year | 08 | Month | 07 | Day |
| 2026 | Year | 08 | Month | 07 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000071563