Effects of Sleep Duration on Prevalence of Metabolic Syndrome and Metabolic Syndrome Components in Korean Adults

Background: This study examines the impact of sleep duration on the incidence of metabolic syndrome in Korean adults.Methods: A total of 11,721 participants (5,263 male 6,458 female) aged 19–64 years from the 8th Korea National Health and Nutrition Examination Survey were included. Sleep duration was categorized as less than 7 hours, 7 to less than 9 hours, and 9 or more hours. Metabolic syndrome was defined using the National Cholesterol Education Program Adult Treatment Panel-III criteria. Chisquare tests and logistic regression analysis were conducted to assess associations.Results: The prevalence of metabolic syndrome was 28.4%, higher in male (34.4%) than female (23.6%). The average sleep duration was 6.79±1.75 hours. In male, sleeping less than 6 hours increased the risk of metabolic syndrome by 1.54 times (95% confidence interval [CI]: 1.30–1.82) and abdominal obesity by 1.51 times (95% CI: 1.29–1.77). In premenopausal female, sleep under 7 hours increased the risk of metabolic syndrome by 1.28 times (95% CI: 1.06–1.55) and abdominal obesity by 1.41 times (95% CI: 1.20–1.66).Conclusions: Shorter sleep duration is linked to a higher risk of metabolic syndrome and abdominal obesity, highlighting the importance of adequate sleep for metabolic health.

Authors

Institutions

Publication Details

Journal
Daehan imsang geon-gang jeungjin hakoeji/Daehan imsang geon'gang jeungjin haghoeji
Published
2024-12-30
DOI
https://doi.org/10.15384/kjhp.2024.00157
Citations
2
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
1.02
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of Sleep Duration on Prevalence of Metabolic Syndrome and Metabolic Syndrome Components in Korean Adults

Byung‐Sun Choi, J H Park
2 citations
Daehan imsang geon-gang jeungjin hakoeji/Daehan imsang geon'gang jeungjin haghoeji
Sleep and related disorders
1.02
article

Effects of Sleep Duration on Prevalence of Metabolic Syndrome and Metabolic Syndrome Components in Korean Adults

Byung‐Sun Choi, J H Park
article en
2 citations

Abstract

Background: This study examines the impact of sleep duration on the incidence of metabolic syndrome in Korean adults.Methods: A total of 11,721 participants (5,263 male 6,458 female) aged 19–64 years from the 8th Korea National Health and Nutrition Examination Survey were included. Sleep duration was categorized as less than 7 hours, 7 to less than 9 hours, and 9 or more hours. Metabolic syndrome was defined using the National Cholesterol Education Program Adult Treatment Panel-III criteria. Chisquare tests and logistic regression analysis were conducted to assess associations.Results: The prevalence of metabolic syndrome was 28.4%, higher in male (34.4%) than female (23.6%). The average sleep duration was 6.79±1.75 hours. In male, sleeping less than 6 hours increased the risk of metabolic syndrome by 1.54 times (95% confidence interval [CI]: 1.30–1.82) and abdominal obesity by 1.51 times (95% CI: 1.29–1.77). In premenopausal female, sleep under 7 hours increased the risk of metabolic syndrome by 1.28 times (95% CI: 1.06–1.55) and abdominal obesity by 1.41 times (95% CI: 1.20–1.66).Conclusions: Shorter sleep duration is linked to a higher risk of metabolic syndrome and abdominal obesity, highlighting the importance of adequate sleep for metabolic health.

Daehan imsang geon-gang jeungjin hakoeji/Daehan imsang geon'gang jeungjin haghoejiVol. 24(4)
Chung-Ang University (KR)
Zero hunger
Openalex Percentile: Top 20%
Sleep and related disorders
1.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.