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A diverse team of Netherlands-based medical researchers has identified a connection between sleep duration patterns and susceptibility to type-2 diabetes. This link remains potent, irrespective of other lifestyle risk factors. Their findings, published in Sleep Health, stem from a meticulous analysis of data sourced from the Maastricht Study, specifically focusing on sleep duration.
Previous investigations hinted at a potential relationship between an individual’s sleep routines and their vulnerability to type-2 diabetes coupled with other lifestyle risk factors. In this novel endeavor, the research collective delved into the Maastricht Study’s data reservoir to unveil possible insights into the correlation between sleep duration and the predisposition to pre-diabetes and/or diabetes mellitus.
Conducted by a consortium of medical researchers from various institutions in the Netherlands, the Maastricht Study aimed to delve into cardiovascular disease, type-2 diabetes, and other chronic health conditions. Between 2010 and 2018, around 10,000 volunteers engaged in comprehensive medical assessments to unravel the factors behind disease susceptibility. In a fresh endeavor, the researchers harnessed the data from this study to probe the relationship between sleep patterns and diabetes mellitus.
Focusing on 5,561 volunteers aged 40 to 75, the team delved into their sleep behaviors, primarily assessing the average number of sleeping hours. This information was sourced through questionnaires and thigh-attached accelerometers. Additionally, the volunteers underwent regular glucose tolerance tests, and were categorized as non-diabetic, pre-diabetic, or type-2 diabetic (excluding those with type-1 diabetes).
By employing regression analysis, the scientists delved into the dataset to uncover potential connections between average sleep duration and the proneness of type-2 diabetes. What emerged was a distinctive U-shaped correlation. Individuals who consistently overshot the norm with lengthy slumber (12 hours) or those who fell short (five hours) displayed a slight elevation in the risk of developing type-2 diabetes. Remarkably, this trend persisted independently of other lifestyle risk variables.
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