Conformation to masculine norms and men’s perceived self-efficacy in osteoporosis management
Notice bibliographique
Résumé
Men suffer one-third of osteoporosis-related fractures globally. The gendered belief surrounding osteoporosis as a female disease and the influence of male stereotypes impact men’s self-management of osteoporosis. We aimed to explore how gendered beliefs and male stereotypes affect older men's self-efficacy to manage osteoporosis and prevent falls by examining their conformity to societal masculine norms.Men ≥ 60y at high fracture risk, recruited in Canada, completed an online survey. Conformity to masculine norms was ascertained with the Conformity to Masculine Norms Inventory (CMNI) with scores 0-66; subsequently standardized (sCMNI: mean=50, SD=10). Primary outcomes included self-efficacy for osteoporosis management (OSES), calcium intake, exercise participation (subscales of OSES), and falls efficacy (FES-I). Linear and logistic multivariate regression models were calculated to determine the associations between sCMNI and OSES and FES-I considering important co-variables. Two hundred and seven (mean age 71 (SD=7) years) participants completed the survey; all reported male sex at birth and identified as men, with an average CMNI raw score 28(8); 73% had post-secondary education, 86% identified as White, 54% had osteoporosis, 43% experienced ≥ 2 falls in the past year, and 61% had sustained a fracture. Those in the highest sCMNI tertile group tended to report other country of birth than Canada, less years since immigration and being of other race/ethnicity than White. The mean OSES was 781 (SD=209) in the lowest sCMNI tertile vs. 689 (SD=261) in the highest tertile (p=0.02). The median FES-I was 10 (IQR: 8,14) and did not differ between lowest and highest sCMNI tertile groups (p=0.52). Adjusted linear regression models demonstrated that each increase in one unit of sCMNI was significantly associated with a decrease in OSES (-3.22; 95% CI [-5.99, -0.45]) and calcium intake self-efficacy (-1.78; 95% CI [-3.41, -0.14]); there was no association with exercise self-efficacy (Table). In adjusted logistic regression models, sCMNI was not associated with FES-I (OR 1.00, 95% CI [0.96; 1.03]). A significant interaction was noted between sCMNI and the presence of depressive symptoms (p=0.01) on total OSES and calcium intake self-efficacy.We observed an association between conformity to masculine societal norms and osteoporosis management self-efficacy in men at high risk for fracture, even after adjusting for race/ethnicity, income and education. Indeed, those with highest conformity to masculine societal norms report less self-efficacy. Interventions targeting osteoporosis management in older men need to address traditional masculine norms and the presence of depressive symptoms to improve self-efficacy and, consequently, health outcomes
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».