health

Does Healthy Sleep Help Reduce Heart Failure Risk?

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According to the new research published in Circulation, the most important journal of the American Heart Association, individuals with healthy sleep patterns cope with a 42% lower risk of heart failure than individuals with unhealthy sleep patterns. Sleeping for 7-8 hours, getting up in the morning and not having heavy sleep, not snoring or not being in excessive sleep during the day creates a healthy sleep pattern. More than 26 million people suffer from heart failure, and it has been demonstrated that sleep problems can contribute to the development of heart failure.

This study examined the relationship between healthy sleep patterns and heart failure (data from 408,802 participants aged 37-73 years). Heart failure rates were collected until April 1, 2019. Researchers recorded 5,221 heart failure data over an average of 10 years.

Researchers analyzed sleep quality and pattern.


When examining sleep quality, characteristics such as duration, insomnia, snoring, being awake during the day or night, and whether the individual was sleepy all day long were examined. Lu Qi, Professor of Epidemiology at Tulane University in New Orleans, director and author of the Obesity Research Center, stated that the healthy sleep score obtained was determined according to these five behaviors, and the findings highlight the importance of improving overall sleep patterns in preventing heart failure.

Data on sleep behaviors were collected through questionnaires.

The sleep duration was divided into 3 groups: less than 7 hours a day, 7 to 8 hours a day, 9 hours and more a day. After adjusting for diabetes, hypertension, medication use, genetic diversity, and other variables, participants with the healthiest sleep patterns were observed to have a 42% lower risk of heart failure compared to people with unhealthy sleep patterns.

In addition, it was independently found that the risk of heart failure was 8% in early risers, 12% in those who slept 7-8 hours, 17% in those without insomnia, and 34% in those without daytime sleepiness.

The sleep behaviors of the participants were reported by themselves, but the variables in behavior could not be followed. The researchers noted that unmeasured and unknown adjustments may also have affected their findings. Qi also stated that the work is strong with its innovation, forward-looking design and wide sample area.

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