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Executive functions predict fracture risk in postmenopausal women assessed for osteoporosis
Antonino Catalano1,2, Alberto Sardella3, Federica Bellone3,4
1Department of Clinical and Experimental Medicine, University Hospital of Messina, Via C. Valeria, 9812, Messina, Italy. catalanoa@unime.it.
Background:
Cognitive impairment and muscle strength have been associated with bone fragility. However, the potential predictive role of executive functions on fracture risk has been poorly investigated.
Aim:
We intended to explore the association between executive functions, psychological distress and physical performance with fracture risk in postmenopausal women.
Methods:
Cognitive tests explicating executive functions (i.e., Trial Making Test-B, Digit Span Backward, Digit Span Forward) and questionnaires assessing psychological distress (i.e., Back Depression Inventory and Hamilton Anxiety Scale) were administered. Physical performance was explored through the Short Physical Performance Battery and handgrip strength. The 10-year probability of major and hip fractures was assessed by Fracture Risk Assessment tool (FRAX); the bone mineral density (BMD) was evaluated by Dual-Energy X-ray Absorptiometry.
Results:
60 women (mean age 66 ± 7.99 yr.) were recruited. The FRAX score for major fractures was significantly associated with Trial Making Test B score (r = - 0.25) and with Digit Span Backward (r = - 0.34); the FRAX score for hip fracture was associated with handgrip strength (r = - 0.39, p = 0.002). BMD was significantly associated with Digit Span Backward (r = - 0.32) and with depression (r = - 0.33). After several adjustments, the multiple regression analysis showed that BMI (ß = 0.09, SE 0.03, p = 0.013), Beck Depression Inventory score (ß = - 0.09, SE 0.06, p = 0.04) and Digit Span Backward score (ß = 0.55, SE 0.17, p = 0.002) were independently predictive of lumbar BMD.
Conclusions:
Verbal working memory, as assessed by Digit Span Test, and psychological features were associated with BMD and could contribute to fracture risk prediction in postmenopausal women.
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