Cross-National Validation of the WHO-5 Well-Being Index Within Adolescent Populations: Findings From 43 Countries
Bibliographic record
Abstract
The five-item World Health Organization Well-Being Index (WHO-5) is among the most frequently used brief standard measures to assess hedonic well-being. Numerous studies have investigated different facets of its psychometric properties in adult populations. However, whether these results apply to adolescents is uncertain, and only few psychometric studies employed adolescent populations. Thus, the current study aimed to conduct an in-depth psychometric item response theory analysis of the WHO-5 among adolescents from 43 countries using the Health Behaviour in School-aged Children (HBSC) 2022 data set and investigated its (a) dimensionality and measurement structure, (b) test information values and marginal reliability, (c) cross-country measurement invariance and differential item/test functioning, and (d) convergent validity with other measures related to mental health and well-being across countries. The WHO-5 showed a unidimensional measurement structure and overall high test information values and marginal reliability. Furthermore, although a large proportion of parameters were flagged as non-invariant, differential test functioning of the WHO-5 was only modest. Moreover, the WHO-5 mainly showed a concurring nomological network with the other measures related to mental health and well-being across countries, although with some differences in effect sizes. The WHO-5 Well-Being Index is a psychometrically sound measure that has shown promise for cross-cultural research among adolescents in the included European, Central Asia, and North American countries. The translated versions of the WHO-5 are available at https://osf.io/pbexq.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".