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Enregistrement W4405038178 · doi:10.1182/blood-2024-212183

Measuring the Utility of the Adolescent Menstrual Bleeding Questionnaire (aMBQ) in a Culturally Diverse Adolescent Population

2024· article· en· W4405038178 sur OpenAlexaffabout
Adebimpe Adelaja, Joseph Stanek, Meghan Pike, Victoria Price, Sarah H. O’Brien

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueMenstrual Health and Disorders
Établissements canadiensIzaak Walton Killam Health CentreDalhousie University
Organismes subventionnairesnon disponible
Mots-clésMedicinePopulationPsychologyClinical psychologyPediatricsDevelopmental psychologyEnvironmental health

Résumé

récupéré en direct d'OpenAlex

Introduction Heavy menstrual bleeding (HMB) is common in menstruating adolescents. Accurately identifying HMB can be clinically challenging due to difficulties in measuring blood loss. The Pictorial Bleeding Assessment Chart (PBAC) assesses menstrual blood loss via sanitary product saturation but does not capture the full patient experience. Given the significant emotional, physical, and social impacts of HMB, assessing its effect on health-related quality of life (HRQoL) is essential for comprehensive evaluation and management. The Adolescent Menstrual Bleeding Questionnaire (aMBQ), adapted from the MBQ and validated by Pike et al. (2021) with 75 participants in Nova Scotia, Canada, assesses QoL related to menstrual bleeding in adolescents ≤18. This study aims to measure the utility of the aMBQ in a larger, more culturally diverse adolescent population. Methods Participants were recruited from primary care clinics at Nationwide Children's Hospital (Columbus, OH)- which serves a diverse and predominantly underserved population. Those with a prior diagnosis of a bleeding disorder or chronic illness associated with iron deficiency were excluded. HMB was defined as PBAC score ≥100. The aMBQ is a 21-item instrument with scores ranging from 0-77; higher scores indicate worse HRQoL. Statistical analyses were conducted using Wilcoxon rank sum test, Fisher's exact test, two-sample t-tests, and two-way ANOVA test, with significance set at p<0.05. The aMBQ's ability to distinguish between participants with and without HMB was evaluated using sensitivity, specificity, and the area under the curve (AUC) and corresponding 95% CI from receiver operating characteristic (ROC) analysis. Results A total of 320 participants completed the aMBQ and PBAC. Median PBAC score was 94 (IQR 50 -186), and median aMBQ score was 17 (IQR 11-25). 65% of participants identified as Black, 18% White, 17% other races, and 8% as Hispanic. Mean age was 14.8 years (SD 2.1). 46.9% of participants (n=150) had HMB (PBAC ≥100). Median aMBQ score for those with HMB was higher than those without HMB (24, IQR 17-30 vs. 13, IQR 9-17; p < .001), indicating decreased HRQoL, consistent with the original study. Median age of adolescents with HMB was also significantly higher (15 vs 14 yrs, p=0.002), as was the median time since menarche (4 vs 2 yrs, p < .001). No significant difference in race/ethnicity was observed between the groups. Age at menarche did not significantly differ between those with and without HMB, consistent with the original study. Mean (±SD) aMBQ score for participants with HMB was significantly higher in the original study (29.8, ± 8.5) compared to this study (24.2, ± 9.3; p=0.0105). For those without HMB, the mean aMBQ score in the original study was 19.6 (± 7.6) versus 14.3 (± 7.6) in this study (p=0.0026). The aMBQ had an AUC of 0.81 (95% CI: 0.76-0.86) for HMB (PBAC ≥100). An optimal aMBQ cutoff score of 16.5 showed 79% sensitivity and 71% specificity, compared to the original study's cutoff of ≥30, which had 70% sensitivity and 84% specificity. Personal communication with Pike et al. suggests that a cutoff of 16 in the original study yields similar sensitivity (78%) and specificity (68%). In a sub-analysis with PBAC ≥150 denoting HMB, the mean aMBQ score for those with HMB was 26.3 (± 9.4) vs 15.4 (± 7.8) for those without (p < .001), with an AUC of 0.82 (95% CI: 0.77-0.87) and a cutoff score of 17.5, 69% sensitivity, and 82% specificity. Conclusion This study evaluated the aMBQ in a culturally diverse adolescent cohort, supporting its discriminatory power and utility in assessing HRQoL in menstruating adolescents. The substantial impact of HMB on adolescents' HRQoL, as demonstrated by higher aMBQ scores, highlights the importance of including quality of life measures in HMB evaluation. Higher reported HRQoL compared to the original study may be due to cultural differences in perception and reporting, or a higher prevalence of chronic conditions. Menstrual issues may seem less significant amidst other life challenges and adolescents in underserved populations may have developed coping mechanisms to manage HMB. Future research should further examine the aMBQ across various demographic groups and cultures to enhance its applicability. Reference Pike M, et al. Quality of life in adolescents with heavy menstrual bleeding: Validation of the Adolescent Menstrual Bleeding Questionnaire. Res Pract Thromb Haemost. 2021 Nov 8;5(7):e12615.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,241

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,039
Tête enseignante GPT0,291
Écart entre enseignants0,252 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2024
Routes d'admission2
Résumé présentoui

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