Table 3a.
Model 1 (unadjusted, N = 788) | Model 2* (adjusted, N = 608) | |||
---|---|---|---|---|
OR (95% CI) | Ptrend-value | COR (95% CI) | Ptrend-value | |
CTX Quartiles | 0.06 | 0.22 | ||
Quartile 1 (0–25th percentile: 0–280 ng/L) | Reference | Reference | ||
Quartile 2 (25th– 50th percentile: 280–390 ng/L) | 0.86 (0.56, 1.32) | 0.85 (0.43, 1.70) | ||
Quartile 3 (50th– 75th percentile: 390–510 ng/L) | 1.19 (0.79, 1.78) | 1.53 (0.82, 2.85) | ||
Quartile 4 (75th– Maximum: ≥510 ng/L) | 1.33 (0.91, 1.96) | 1.25 (0.68, 2.30) |
Estimates are based on conditional logistic regression models adjusted for body mass index, years of education, whether living with a partner, parity, smoking, fall history in past year, history of previous fracture, family history of hip fracture, past use of menopausal hormone therapy, Centers for the Epidemiologic Study of Depression score, use of antidepressant medication, frailty index, self-reported health status, RAND 36-item Health Survey score, corticosteroid use, and dietary and supplemental calcium and vitamin D intake. For conditional logistic regression, matching factors (age at screening, race/ethnicity, and season of blood draw) are not included as covariates. The bone turnover marker level was entered into the model as a categorical term in quartiles to obtain odds ratios. The ptrend values were obtained by entering the bone turnover marker quartile term as a continuous variable to determine whether a significant linear trend was present across the quartiles.