Korean J Fam Med.  2015 Nov;36(6):273-277. 10.4082/kjfm.2015.36.6.273.

Associations between Metabolic Syndrome and Inadequate Sleep Duration and Skipping Breakfast

Affiliations
  • 1Department of Family Medicine, Health Promotion Center, Seoul National University Hospital, Seoul, Korea. mdsky75@gmail.com

Abstract

BACKGROUND
The prevalence of metabolic syndrome is increasing worldwide, and previous studies have shown that inadequate sleep duration and skipping breakfast may be related to metabolic syndrome. Therefore, we investigated the effects of inadequate sleep and skipping breakfast on metabolic syndrome using data from the Korea National Health and Nutrition Examination Survey (KNHANES) IV & V reports (2007-2009 and 2010-2012, respectively).
METHODS
The sample included 12,999 subjects who participated in the KNHANES IV & V. Sleep duration and breakfast eating were self-reported, and metabolic syndrome was defined according to the modified National Cholesterol Education Program Adult Treatment Panel III guidelines. Subjects were divided into 12 groups according to breakfast eating and sleep duration patterns, and multiple logistic regression analyses adjusted for age, sex, household income, education level, smoking status, alcohol drinking, physical activity, and total daily energy intake were conducted.
RESULTS
In subjects under 50 years of age, sleeping less than 6 hours was significantly associated with increased metabolic syndrome except among those who ate breakfast on only 1 of the past 2 days. In subjects over 50 years of age, sleeping less than 6 hours was significantly associated with a decreased risk of metabolic syndrome among those who ate breakfast on both days.
CONCLUSION
In conclusion, significant associations between metabolic syndrome and sleep duration were identified, and these associations differed according to age group.

Keyword

Sleep; Breakfast; Metabolic Syndrome X

MeSH Terms

Adult
Alcohol Drinking
Breakfast*
Cholesterol
Education
Energy Intake
Family Characteristics
Humans
Korea
Logistic Models
Metabolic Syndrome X
Motor Activity
Nutrition Surveys
Prevalence
Smoke
Smoking
Cholesterol
Smoke
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