A study in the Dec. 1 issue of the journal SLEEP found that loud snoring and two common insomnia symptoms - difficulty falling asleep and unrefreshing sleep - each significantly predicted the development of the metabolic syndrome. The study emphasizes the importance of screening for common sleep complaints in routine clinical practice.
Results of multivariate logistic regression models show that the risk of developing the metabolic syndrome over a three-year follow-up period was more than two times higher in adults who reported frequent loud snoring (odds ratio = 2.30). This risk also was increased by 80 percent in adults who reported having difficulty falling asleep (OR = 1.81) and by 70 percent in those who reported that their sleep was unrefreshing (OR = 1.71).
Further analysis found that unrefreshing sleep was reduced to marginal significance with additional adjustment for loud snoring. However, when simultaneously entered in a statistical model, both loud snoring and difficulty falling asleep remained significant independent predictors of the metabolic syndrome.
"This is the first prospective study to show that a broader array of commonly reported sleep symptoms, including insomnia and sleep-disordered breathing symptoms, predict the development of the metabolic syndrome, a key risk factor for cardiovascular disease," said lead author Wendy M. Troxel, PhD, assistant professor of psychiatry and psychology at the University of Pittsburgh in Pittsburgh, Pa. "It was rather striking that the effects of difficulty falling asleep and loud snoring were largely independent of one another."
According to the National Heart, Lung, and Blood Institute, metabolic syndrome is a group of obesity-related risk factors that increases an individual's risk of heart disease, diabetes and stroke. A person with at least three of these five risk factors is considered to have metabolic syndrome: excess abdominal fat, high triglycerides, low HDL cholesterol, high blood pressure and high blood sugar.
Analyses of these five individual components of the metabolic syndrome revealed that loud snoring significantly predicted the development of high blood sugar (OR = 2.15) and low HDL cholesterol (1.92). Difficulty falling asleep and unrefreshing sleep did not predict any of the individual metabolic abnormalities.
Only loud snoring continued to predict the development of the metabolic syndrome after accounting for the number of metabolic abnormalities present at baseline. According to the authors, this suggests that loud snoring may be a causal risk factor cardiometabolic dysregulation.
The study involved 812 participants in Heart SCORE, an ongoing, community-based, prospective study of adults between 45 and 74 years of age. People who were classified as having the metabolic syndrome or diabetes at baseline were excluded form the study. During the three-year follow-up period, 14 percent of participants developed the metabolic syndrome.
Self-reported sleep disturbances were assessed using the Insomnia Symptom Questionnaire and the Multivariable Apnea Prediction Questionnaire. The development of the metabolic syndrome was unrelated to difficulty staying asleep and frequent awakening from sleep, which are two other insomnia symptoms that are commonly reported.
Apnea-hypopnea index (AHI), an average of the combined episodes of partial reductions (hypopneas) and complete pauses (apneas) in breathing per hour of sleep, was calculated in a subset of 290 participants who wore a portable monitor that measured nasal airflow. In an analysis of this subset, loud snoring remained an independent predictor of the development of the metabolic syndrome (OR = 3.01) even after adjusting for AHI, while difficulty falling asleep was reduced to marginal statistical significance.
More information about snoring is available from the American Academy of Sleep Medicine at http://www.sleepeducation.com/Disorder.aspx?id=26.
The study was supported by the Commonwealth of Pennsylvania Department of Health; and the National Heart, Lung, and Blood Institute and the Clinical & Translational Science Awards of the National Institutes of Health.
The peer-reviewed, scientific journal SLEEP is published monthly by the Associated Professional Sleep Societies LLC, a joint venture of the American Academy of Sleep Medicine and the Sleep Research Society. The AASM is a professional membership society that is the leader in setting standards and promoting excellence in sleep medicine health care, education and research.
For a copy of the study, "Sleep symptoms predict the development of the metabolic syndrome," or to arrange an interview with an AASM spokesperson, please contact Public Relations Coordinator Emilee McStay at 630-737-9700, ext. 9345, or email@example.com.
Emilee McStay | EurekAlert!
Win-win strategies for climate and food security
02.10.2017 | International Institute for Applied Systems Analysis (IIASA)
The personality factor: How to foster the sharing of research data
06.09.2017 | ZBW – Leibniz-Informationszentrum Wirtschaft
Salmonellae are dangerous pathogens that enter the body via contaminated food and can cause severe infections. But these bacteria are also known to target...
University of Maryland researchers contribute to historic detection of gravitational waves and light created by event
On August 17, 2017, at 12:41:04 UTC, scientists made the first direct observation of a merger between two neutron stars--the dense, collapsed cores that remain...
Seven new papers describe the first-ever detection of light from a gravitational wave source. The event, caused by two neutron stars colliding and merging together, was dubbed GW170817 because it sent ripples through space-time that reached Earth on 2017 August 17. Around the world, hundreds of excited astronomers mobilized quickly and were able to observe the event using numerous telescopes, providing a wealth of new data.
Previous detections of gravitational waves have all involved the merger of two black holes, a feat that won the 2017 Nobel Prize in Physics earlier this month....
Material defects in end products can quickly result in failures in many areas of industry, and have a massive impact on the safe use of their products. This is why, in the field of quality assurance, intelligent, nondestructive sensor systems play a key role. They allow testing components and parts in a rapid and cost-efficient manner without destroying the actual product or changing its surface. Experts from the Fraunhofer IZFP in Saarbrücken will be presenting two exhibits at the Blechexpo in Stuttgart from 7–10 November 2017 that allow fast, reliable, and automated characterization of materials and detection of defects (Hall 5, Booth 5306).
When quality testing uses time-consuming destructive test methods, it can result in enormous costs due to damaging or destroying the products. And given that...
Using a new cooling technique MPQ scientists succeed at observing collisions in a dense beam of cold and slow dipolar molecules.
How do chemical reactions proceed at extremely low temperatures? The answer requires the investigation of molecular samples that are cold, dense, and slow at...
23.10.2017 | Event News
17.10.2017 | Event News
10.10.2017 | Event News
23.10.2017 | Life Sciences
23.10.2017 | Physics and Astronomy
23.10.2017 | Health and Medicine