The danger of hidden sleep could increase the risk of 172 diseases, reveals an important study
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Experts agree that seven to nine hours of sleep is ideal for most adults, but when it comes to their health, the total number of hours may not be the most important factor.
In a new important study led by teams from the University of Beijing and the University Medicine University, the irregularity of sleep has been related to a higher risk of 172 different diseases.
The researchers analyzed almost seven years of biobanco sleep data from the United Kingdom of 88,461 adults with an average of 62 years of age, focusing on multiple features that included the night duration of sleep, the time of beginning of the sleep, the rhythm of the sleep and the fragmentation of the sleep, according to a press release.
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Then they compared that data with the results of the National Health Service disease, the Cancer Registry and the National Death Index.
They discovered that for 92 diseases (Parkinson’s disease and acute renal failure, 20% of the risk was linked to bad sleep behavior.
In a new important study led by teams from the University of Beijing and the University Medicine University, the irregularity of sleep has been related to a higher risk of 172 different diseases. (Istock)
Forty -two diseases were linked to at least double the risk. Those that included fragility, gangrene and fibrosis and cirrhosis related to the age of the liver.
The poor sleep features were linked to 1.5 times the risk of 122 diseases, including type 2 diabetes mellitus, respiratory failure, certain bone fractures and urinary incontinence.
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Inflammatory pathways were identified as a possible link between irregular dream and disease.
“Some common diseases showed considerable attributable risk, such as Parkinson’s disease, pulmonary heart disease, type 2 diabetes mellitus, obesity, thyrotoxicosis (hyperthyroidism) and urinary incontinence,” the researchers wrote.
The researchers found that for 92 diseases (Parkinson’s disease and acute renal failure, 20% of the risk was linked to bad sleep behavior. (Istock)
The results were published in Health Data Science magazine.
“Our findings underline the importance of overlooking sleep regularity,” said Professor Shengfeng Wang, lead author of the study, in the statement. “It’s time for us to expand our definition of good dream beyond duration.”
“It’s time for us to expand our definition of good dream beyond duration.”
Ashley Curtis, PHD, Assistant Professor and Director of the Cognition, Aging, Sleep and Health Laboratory (cash) at the Faculty of Nursing of the University of Southern Florida, did not participate in the research, but shared her reaction to the findings.
“This study contributes to the growing evidence that supports the critical role that sleeps as a key modifiable risk factor in a variety of medical disorders, particularly half -life,” he told News Digital.
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“However, this study also emphasizes that how we measure sleep matters in terms of what conclusions we do regarding its impact on health throughout useful life.”
Curtis highlighted the difference between self -informed sleep patterns versus objective measurements captured by portable devices.
“This study contributes to the growing evidence that supports the critical role that sleeps as a key modifiable risk factor in a variety of medical disorders, particularly in half -life,” an expert told News Digital. (Istock)
“It is important to better understand these patterns, since it can affect the recommendations regarding what aspects of the dream we should monitor more closely in terms of evaluating the risk of future health decreases,” he said.
“In addition, these findings provide information on the specific physiological mechanisms related to sleep that may be promoting the trajectories of comorbid diseases.”
Potential limitations
The researchers noticed several important limitations in this investigation.
The most frequent thing is that the study is not representative of the national population, since participants were mainly medium -sized or elderly and, therefore, more susceptible to certain diseases.
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Sleep data were also captured in a single point over time.
There is also the possibility that external factors or “reverse causality bias” affect the results, they said.
Curtis echoed these limitations, pointing out that the dream was only measured in a period of time of seven days and did not consider the variability in sleep patterns over time.
The study did not consider the prevalence of sleep disorders, such as insomnia or sleep apnea, an expert said. (Istock)
“In addition, there was a lack of consideration of sleep disorders, such as insomnia or sleep apnea,” he told News Digital.
“Since both sleep disorders are highly frequent in aging populations, there is a need for future studies that include a more complete clinical evaluation to completely elucidate the link between sleep disorder disorder profiles and the risk of other medical comorbidities.”
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The research team plans to carry out future studies to confirm causality and measure how sleep interventions can affect the results of chronic disease.
The study was supported by the National R&D program of China, the National Foundation of Natural Sciences of China and the Beijing Municipal Health Development Research Fund.
Melissa Rudy is a senior health editor and a member of the lifestyle in News Digital. The advice of history can be sent to melissa.rudy@News.com.