Science says there’s a perfect amount of sleep to prevent a metabolic nightmare — and most people are missing the mark
The body needs its rest.

New research suggests that hitting a specific sweet spot of just over seven hours of sleep each night could seriously lower your risk of insulin resistance, a major player in developing type 2 diabetes. A team of Chinese researchers spent years diving deep into our sleep habits, and what they found is pretty fascinating for anyone looking to keep their metabolic health in check.
According to Fox News, the long-term observational study, which ran from 2009 to 2023, included a group of about 25,000 participants. The researchers wanted to understand how the amount of sleep we get on weekdays connects to insulin resistance, a well-known risk factor for type 2 diabetes. Their findings, published in BMJ Open Diabetes Research & Care, pinpointed a “sweet spot” of about 7 hours and 18 minutes of sleep per night for the lowest insulin resistance.
It turns out that straying too far from this benchmark, whether you’re sleeping too little or too much, was linked with worse insulin sensitivity. Shorter sleep was associated with higher insulin resistance, which makes sense, but interestingly, longer sleep also showed worse metabolic markers.
It’s not just about getting enough sleep; it’s about hitting that just-right amount
The study also looked into whether catching up on sleep during the weekends could fix those weekday deficits. Unfortunately, the answer is a firm no. Getting extra “recovery sleep” didn’t make up for lost time and, in some participants, excessive sleep actually showed a risk of worsening glucose metabolism.
The researchers concluded that these correlational findings suggest sleep patterns, especially weekend recovery sleep, are pretty relevant for metabolic regulation in diabetes and could inform how healthcare professionals manage patient care. Now, before you go setting your alarms for precisely 7 hours and 18 minutes, it’s super important to remember a few things about this study.
Since it was observational, the findings show associations rather than a direct cause and effect. Plus, sleep duration was self-reported by participants, which could be a limitation. The study also didn’t measure sleep quality, which we all know plays a huge role in how rested we actually feel, and other lifestyle factors like stress, diet, and shift work could definitely influence the results.
Dr. Marc Siegel, a senior medical analyst, weighed in. He wasn’t involved in the research but said, “We have long known that there is an association between sleep and insulin resistance.” The restorative aspect of sleep helps to regulate metabolic function and hormones and also decreases inflammation. He stressed that the study highlights how both too much and too little sleep can lead to more insulin resistance and diabetes through metabolic dysregulation.
Dr. Aaron Pinkhasov, a board-certified psychiatrist and sleep expert, thinks focusing solely on a specific number of hours to prevent diabetes is “too simplistic.” He wasn’t part of the study either but said that sleep is only one piece of the metabolic health puzzle, alongside genetics, body weight, diet, physical activity, and stress.
Dr. Pinkhasov noted that the study only provides a snapshot in time, so it can’t definitively prove that sleep duration directly causes insulin resistance. He also pointed out that underlying issues like metabolic illness, pain, depression, or low activity could lead people to sleep longer or shorter. His “practical message” for adults is to aim for about seven to nine hours of quality sleep on a regular schedule.
He emphasized that this should be part of an overall strategy to reduce diabetes risk. He also believed the study strengthens the idea that sleep should be considered just as important as diet and exercise when we’re talking about diabetes risk. The key takeaway, according to him, isn’t necessarily the exact number of hours, but that both chronic sleep deprivation and irregular sleep patterns are associated with higher insulin resistance.
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