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KERD
논문KCI 등재

사상체질에 따른 수면 패턴과 대사증후군의 연관성

Association of Sasang Constitution and Sleep Patterns with Metabolic Syndrome

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Objectives Metabolic syndrome (MetS) increases the risk of cardiovascular disease and type 2 diabetes. Sleep is a key lifestyle factor influencing metabolic health. This study examined the association between sleep patterns and MetS according to Sasang constitution (SC) types among Korean adults. Methods This study analyzed data from 1,967 participants in the follow-up phase of the Korean Medicine Daejeon Citizen Cohort (KDCC). Participants were classified into two SC types: Taeeumin (TE) and non-Taeeumin (non-TE). Sleep pattern was defined using five components: sleep duration, insomnia, snoring, daytime sleepiness, and chronotype. A sleep score (0–5) was calculated and categorized as poor sleep pattern (PSP: 0–2 points) or good sleep pattern (GSP: 3–5 points). Multivariable logistic regression was used to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for the association between sleep patterns and MetS by SC type. Results Poor sleep patterns were more common among individuals with MetS in both SC types. In the TE group, PSP was significantly associated with MetS (OR = 1.827, 95% CI = 1.354–2.466). Insomnia (OR = 1.763, 95% CI = 1.012– 3.071) and snoring (OR = 2.378, 95% CI = 1.729–3.270) were linked to MetS in the TE type. In the non-TE group, short or long sleep duration (OR = 1.904, 95% CI = 1.022–3.547) and snoring (OR = 2.143, 95% CI = 1.169–3.927) were significant factors. Conclusions Poor sleep patterns were associated with higher MetS risk, especially in the TE type. SC-specific sleep interventions may be effective in preventing MetS.

Abstract

Objectives Metabolic syndrome (MetS) increases the risk of cardiovascular disease and type 2 diabetes. Sleep is a key lifestyle factor influencing metabolic health. This study examined the association between sleep patterns and MetS according to Sasang constitution (SC) types among Korean adults. Methods This study analyzed data from 1,967 participants in the follow-up phase of the Korean Medicine Daejeon Citizen Cohort (KDCC). Participants were classified into two SC types: Taeeumin (TE) and non-Taeeumin (non-TE). Sleep pattern was defined using five components: sleep duration, insomnia, snoring, daytime sleepiness, and chronotype. A sleep score (0–5) was calculated and categorized as poor sleep pattern (PSP: 0–2 points) or good sleep pattern (GSP: 3–5 points). Multivariable logistic regression was used to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for the association between sleep patterns and MetS by SC type. Results Poor sleep patterns were more common among individuals with MetS in both SC types. In the TE group, PSP was significantly associated with MetS (OR = 1.827, 95% CI = 1.354–2.466). Insomnia (OR = 1.763, 95% CI = 1.012– 3.071) and snoring (OR = 2.378, 95% CI = 1.729–3.270) were linked to MetS in the TE type. In the non-TE group, short or long sleep duration (OR = 1.904, 95% CI = 1.022–3.547) and snoring (OR = 2.143, 95% CI = 1.169–3.927) were significant factors. Conclusions Poor sleep patterns were associated with higher MetS risk, especially in the TE type. SC-specific sleep interventions may be effective in preventing MetS.

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