Relationship Between Obesity and Risk of Major Osteoporotic Fracture in Postmenopausal Women: Taking Frailty Into Consideration
Bibliographic record
Abstract
The role of obesity in fracture risk remains uncertain and inconclusive in postmenopausal women. Our study aimed to assess the relationship between obesity and risk of major osteoporotic fracture (MOF; ie, a clinical fracture of upper arm or shoulder, hip, spine, or wrist) in postmenopausal women, after taking frailty into consideration. We used the data from the Global Longitudinal Study of Osteoporosis in Women (GLOW) 5-year Hamilton cohort for this study. Frailty was measured by a frailty index (FI) of deficit accumulation at baseline. We incorporated an interaction term (obesity × FI) in the Cox proportional hazards regression model. We included 3985 women (mean age 69.4 years) for analyses, among which 29% were obese (n = 1118). There were 200 (5.02%) MOF events documented during follow-up: 48 (4.29%) in obese women and 152 (5.65%) in the nonobese group. Significant relationships between obesity, frailty, and MOF risk were found: hazard ratio (HR) = 0.72 (95% confidence interval [CI] 0.67-0.78) for those with an FI of zero regarding MOF risk among obese women, and HR = 1.34 (95% CI 1.11-1.62) per SD increase in the FI among nonobese women. The interaction term was also significant: HR = 1.16 (95% CI 1.02-1.34) per SD increase in the FI among obese women. Increased HRs were found with higher FIs regarding the relationship between obesity and MOF risk, indicating increasing frailty attenuated the protective effect of obesity. For example, although the HR for obesity and MOF risk among those who were not frail (FI = 0) was 0.72 (95% CI 0.67-0.78), among those who were very frail (FI = 0.70), the HR was 0.91 (95% CI 0.85-0.98). To conclude, after taking frailty into consideration, obesity was significantly associated with decreased risk of MOF in postmenopausal women among those who were not frail; however, increasing frailty attenuated this protective effect of obesity. Evaluating frailty status may aid in understanding of the complex relationship between obesity and fracture risk. © 2020 American Society for Bone and Mineral Research (ASBMR).
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".