Associations between polysomnography and actigraphy-based sleep indices and glycemic control among those with and without type 2 diabetes: the Multi-Ethnic Study of Atherosclerosis
To examine the associations of sleep measures with hemoglobin A1c (HbA1c) among individuals with and without type 2 diabetes.
Data were from 2,049 Multi-Ethnic Study of Atherosclerosis participants taking part in a sleep ancillary study. Cross-sectional linear regression models examined associations of actigraphy estimates of sleep (sleep duration, variability, maintenance efficiency) and polysomnography measures (obstructive sleep apnea (OSA) and hypoxemia) with HbA1c, stratified by diabetes status. Primary models were adjusted for demographics, lifestyle behaviors, and obesity.
Among individuals with diabetes (20% population), those who slept <5 hours/night had greater HbA1c than those who slept 7-8 hours/night (7.44% vs. 6.98%, ptrend = 0.04), with no attenuation of associations after adjusting for OSA/hypoxemia. In women with diabetes, but not men, those in the lowest quartile of sleep maintenance efficiency had greater HbA1c than those in the highest quartile of sleep maintenance efficiency (7.60% vs. 6.97%, ptrend < 0.01). Among those without diabetes, individuals with severe OSA or in the highest quartile of hypoxemia had significantly greater HbA1c than those without OSA or who were in the lowest quartile of hypoxemia (5.76% vs. 5.66%, ptrend = 0.01; 5.75% vs. 5.66%, ptrend < 0.01, respectively). Associations did not meaningfully differ by race/ethnicity.
Among individuals with diabetes, HbA1c was significantly higher in men and women with short sleep duration and in women with poor sleep maintenance efficiency, suggesting a role for behavioral sleep interventions in the management of diabetes. Among individuals without diabetes, untreated severe OSA/hypoxemia may adversely influence HbA1c.
This research output has an Altmetric Attention Score of 25. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 August 2021.
All research outputs
#1,932,069
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Outputs from Sleep
#1,163
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Outputs of similar age
#30,172
of 376,230 outputs
Outputs of similar age from Sleep
#12
of 47 outputs
Altmetric has tracked 34,411,289 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,053 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.0. This one has done well, scoring higher than 80% of its peers.
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We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
