Quality of life in adolescents with heavy menstrual bleeding: Validation of the Adolescent Menstrual Bleeding Questionnaire (aMBQ)
Bibliographic record
Abstract
Background/Objectives Heavy menstrual bleeding (HMB) affects 34% to 37% of adolescent girls. The Menstrual Bleeding Questionnaire (MBQ) is a validated measure of menstrual bleeding–specific health-related quality of life (HRQoL) for women aged ≥18 years. No similar measure existed for adolescents with HMB. Patients/Methods HMB was defined by the Pictorial Bleeding Assessment Chart (PBAC) score ≥100. In Phase 1, a focus group of adolescents with HMB adapted the MBQ, to generate the Adolescent MBQ (aMBQ). In phase 2, participants with and without HMB were recruited from clinics and self-referral. Each participant completed 3 questionnaires (aMBQ, Pediatric Quality of Life module [PedsQL]©, PBAC) at two time points. Validity of the aMBQ was assessed by Pearson’s correlation with the PedsQL©. Reliability was calculated using intra-class correlation (ICC) in those without HMB. The receiver operating characteristic curve assessed the aMBQ’s ability to identify those with HMB. Results Phase 1 included five girls with a mean age of 17.1 (13-18) years. The aMBQ was adapted from the MBQ by substituting four words/phrases that altered 8 of the 20 questions and by adding 1 new question. The 21-item aMBQ has a score range of 0 to 77 (77 = worst HRQoL). Phase 2 included 52 participants: 20 with and 32 without HMB, with a mean age of 14.8 (11-17) years. The validity of the aMBQ was confirmed by a moderate correlation with PedsQL© (r = −0.63; P < .001). Test-retest reliability was substantial (ICC = 0.73; P = .04). An aMBQ score of >30 identified those with HMB with excellent discrimination (area under the curve = 0.82; sensitivity, 70.0%; specificity, 84.4%). Conclusions The aMBQ is a valid and reliable tool to assess HRQoL in adolescents with HMB.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".