Towards the development of a gender‐sensitive measure of women's mental health
Bibliographic record
Abstract
AIMS AND OBJECTIVES: To develop a gender-sensitive measure of women's mental health and to evaluate the measure's psychometric properties. BACKGROUND: Mental health problems are a leading global burden of disease, and gender differences in the prevalence of these problems are well documented. Improving mental health is as important as resolving mental health problems. Although many mental health scales have been developed, few measure women's positive mental health from a gender perspective. DESIGN: Instrument development and psychometric evaluation were used. METHODS: First, a new mental health scale (Women's Mental Health Scale) grounded in women's subjective experiences was formulated from the narratives of four female focus groups (n = 23). The new scale was evaluated using principal component analysis and internal consistency reliability in a sample of female participants (n = 106). Next, the Women's Mental Health Scale, the Chinese version of Beck Depression Inventory-II and Social Adjustment Scale Self-Report were used in a survey of female undergraduate students (n = 163) for examining the concurrent criterion-related validity. Finally, gender differences were examined by assessing the discriminated validity of the Women's Mental Health Scale in a sample of male and female undergraduate students (n = 357). All participants were recruited from communities and universities in middle and south Taiwan. RESULTS: A 50-item Women's Mental Health Scale with four concepts of self, interpersonal, family and social domains was developed. It revealed that the Women's Mental Health Scale had acceptable psychometric properties. There was a significant negative correlation between scores of the Women's Mental Health Scale and the Chinese version of Beck Depression Inventory-II and a significant positive correlation between scores of the Women's Mental Health Scale and Social Adjustment Scale Self-Report. There were significant gender differences in the family domain and social domain. Women reported greater mental health in the family domain and social domain than men. CONCLUSIONS: The Women's Mental Health Scale is a promising gender-sensitive tool to measure women's mental health. RELEVANCE TO CLINICAL PRACTICE: The Women's Mental Health Scale appears to be a gender-sensitive measure to assess the positive mental health potentials among women population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".