A 12-month prospective study of the relationship between stress fractures and bone turnover in athletes
Accelerated or targeted bone remodeling, while crucial to strengthening bone, may predispose runners to bone injury as bone is weakened between bone resorption and new bone formation. Biomarkers may be able to help identify times where bone remodeling is occuring, predisposing runners to injury.
- See if baseline biomarkers of bone turnover can help detect at-risk athletes over 12-month period.
- Relate measurements taken regularly to stress fracture status in the months leading up to and following stress fracture.
95 track and field athletes in athletics club, age 17-26:
- 16 sprinters
- 35 middle-distance
- 19 long-distance
- 11 hurdles, 10 jumps, 4 multi
draw blood and take urine samples. Looking for osteaocalcin and pyridinium cross-links and N-telopeptides of type 1 collagen (urine).
- DXA scan
also collected data on menstrual status.
Stats: logistic regression and t-tests.
I love this regression table. No effect of stress fracture status on biomarkers though.
- 22% of women and 20% of men had at least one stress fracture
45% tibia, 15% navicular, 12% fibula, 8% metatarsals
- no effect of age, height, weight, weekly training volume/distance between injured/uninjured
Does a baseline measure of bone turnover biomarkers predict which athletes will get injured?
What about monthly measures of bone turnover biomarkers? Matching injured vs controls
A lot of variability. They want it to be legit (saw increases), but standard errors were HUGE (see figure above)
Do biomarker levels differ before and after a stress fracture?
Nah… too much variability within and between subjects.I like this plot idea though for PAC12 data:
Overall, there was monthly variability ranging from 21-29%. Null findings. Suggest taking more samples or switching to animal model so this can be done regularly (daily?)
- Bone density: Bennell 1996 Risk factors for stress fractures in track and field athletes: a 12-month prospective study