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Record W7162005227 · doi:10.82308/8978

Conformation to masculine norms and men’s perceived self-efficacy in osteoporosis management

2024· dissertation· en· W7162005227 on OpenAlexaboutno aff
Ramiya Veluppillai

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsnot available
Fundersnot available
KeywordsConformityOsteoporosisLogistic regressionMasculinityAffect (linguistics)Bayesian multivariate linear regressionMultivariate analysisLinear regressionImmigration

Abstract

fetched live from OpenAlex

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

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.013
GPT teacher head0.329
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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