July 2024- Brigham researchers found that middle-aged to older adults with inconsistent sleep duration had a heightened risk of developing diabetes compared to those with more consistent sleep patterns
Getting consistent sleep could help stave off type 2 diabetes, new research suggests. A study led by investigators at Brigham and Women’s Hospital, a founding member of the Mass General Brigham healthcare system, analyzed sleep patterns for 7 nights and then followed participants for more than seven years. The researchers found that irregular sleep durations increased the risk of diabetes, with individuals showing the most irregular patterns having a 34 percent higher risk than their counterparts. The findings, published in Diabetes Care, suggest the importance of regular sleep for diabetes prevention.
“Our study identified a modifiable lifestyle factor that can help lower the risk of developing type 2 diabetes,” said lead author Sina Kianersi, PhD, a research fellow in the Channing Division of Network Medicine at Brigham and Women’s Hospital. “Our findings underscore the importance of consistent sleep patterns as a strategy to reduce type 2 diabetes.”
The new study analyzed accelerometry data from more than 84,000 participants in the UK Biobank Study to investigate any possible association between sleep and type 2 diabetes. Participants were an average age of 62 years (57% female, 97% white) and were initially free of diabetes. They wore accelerometers—devices like watches that monitor movement—for seven nights. Researchers followed the participants for approximately 7.5 years, tracking diabetes development primarily through medical records.
The study set out to investigate two key questions. First, to discover whether irregular sleep durations may promote diabetes development through circadian disruption and sleep disturbances. Second, to explore whether this association varies across genetic predispositions to diabetes.
The investigators found that more irregular sleep duration was associated with higher diabetes risk after adjusting for a wide range of risk factors. This association was more pronounced in individuals with longer sleep duration and lower polygenic risk score for diabetes.
The data revealed that compared to participants with regular sleep patterns, those with irregular sleep (where day-to-day sleep duration varied by more than 60 minutes on average) had a 34% higher risk of developing diabetes. The risk decreased, yet persisted, even after accounting for lifestyle, co-morbidities, family history of diabetes, and obesity indicators.
There were some study limitations. Researchers collected certain lifestyle information up to five years before starting the accelerometer study. This might have affected the accuracy of the results. Also, the assessment of sleep duration based on 7-days may not capture long-term sleep patterns. Lastly, study participants were mainly healthy, older, and white, and may not represent outcomes for more diverse populations.
The researchers plan to study participants from younger age groups and with diverse racial backgrounds. They also want to explore the biological reasons why sleep irregularity increases the risk of diabetes.
