Reference:
Majer R, Thornton A, Lauffenburger J, Marino J, Tsai M, Stellingwerff T, Peach H. Associations between subjective and objective measures of sleep quality and hemoglobin a1c in professional athletes. Sleep Medicine 2019. DOI: 10.1016/j.sleep.2019.11.670
Objectives:
It is well known that profession athletes often struggle to get adequate restorative sleep. Sleep disturbances have been linked to poor glycemic control in patients with Type 2 diabetes, but this relationship is unknown in well-trained athletes.
Conclusions:
The stepwise regression identified a subset of six objective CPC-sleep metrics that have a significant relationship with a1c: unstable sleep, wake after sleep onset, sleep latency, stable sleep, Fragmentation (elevated low frequency coupling broad band; (eLFCBB) and Periodicity (elevated low frequency coupling narrow band;eLFCNB).
Practical Significance:
This study shows that a two-step, screening process that includes both subjective and objective measures of sleep dysfunction can be used to flag potential issues in well-trained athletes.