Diaozhu Lin1, Kan Sun1, Feng Li1, Yiqin Qi1, Meng Ren1, Chulin Huang1, Juying Tang1, Shengneng Xue1, Yan Li1, Li Yan2. 1. Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, People's Republic of China. 2. Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou 510120, People's Republic of China. Electronic address: hfxyl@163.net.
Abstract
OBJECTIVE: Our objective was to evaluate the association between habitual daytime napping and the prevalence of metabolic syndrome. MATERIALS AND METHODS: We conducted a population-based study of 8,547 subjects aged 40 years or older. Metabolic syndrome was defined according to a harmonized definition from a joint statement and the recommended thresholds for the Chinese population. Information about sleep duration was self-reported. RESULTS: The prevalence of metabolic syndrome in the no daytime napping group, the 0 to 1 hour daytime napping group and the more than 1 hour daytime napping group were 35.0%, 36.0% and 44.5% among the females (P<0.0001). Increased daytime napping hours were positively associated with parameters of metabolic syndrome in the female subjects, including waist circumference, systolic blood pressure, triglycerides and fasting plasma glucose (P<0.05 for all). Multivariate adjusted logistic regression analysis revealed that, compared to the no habitual daytime napping females, napping for more than 1 hour was independently associated with an increased prevalence of metabolic syndrome (odds ratio 1.39, 95% confidence interval, 1.13-1.72). Compared to the female subjects in the no daytime napping group, those habitually napped for more than 1 hour exhibited 46% and 26% increases in the prevalence of central obesity and hypertriglyceridemia (all P<0.05). No statistically significant associations were detected between daytime napping hours and metabolic syndrome among the male subjects. CONCLUSION: Daytime napping is associated with an increased prevalence of metabolic syndrome in middle-aged non-obese Chinese women.
OBJECTIVE: Our objective was to evaluate the association between habitual daytime napping and the prevalence of metabolic syndrome. MATERIALS AND METHODS: We conducted a population-based study of 8,547 subjects aged 40 years or older. Metabolic syndrome was defined according to a harmonized definition from a joint statement and the recommended thresholds for the Chinese population. Information about sleep duration was self-reported. RESULTS: The prevalence of metabolic syndrome in the no daytime napping group, the 0 to 1 hour daytime napping group and the more than 1 hour daytime napping group were 35.0%, 36.0% and 44.5% among the females (P<0.0001). Increased daytime napping hours were positively associated with parameters of metabolic syndrome in the female subjects, including waist circumference, systolic blood pressure, triglycerides and fasting plasma glucose (P<0.05 for all). Multivariate adjusted logistic regression analysis revealed that, compared to the no habitual daytime napping females, napping for more than 1 hour was independently associated with an increased prevalence of metabolic syndrome (odds ratio 1.39, 95% confidence interval, 1.13-1.72). Compared to the female subjects in the no daytime napping group, those habitually napped for more than 1 hour exhibited 46% and 26% increases in the prevalence of central obesity and hypertriglyceridemia (all P<0.05). No statistically significant associations were detected between daytime napping hours and metabolic syndrome among the male subjects. CONCLUSION: Daytime napping is associated with an increased prevalence of metabolic syndrome in middle-aged non-obese Chinese women.
Authors: E N Georgousopoulou; N Naumovski; D D Mellor; S Tyrovolas; S Piscopo; G Valacchi; N Tsakountakis; A Zeimbekis; V Bountziouka; E Gotsis; G Metallinos; D Tyrovola; J Kellett; A Foscolou; J-A Tur; A-L Matalas; C Lionis; E Polychronopoulos; L Sidossis; D Panagiotakos Journal: J Nutr Health Aging Date: 2017 Impact factor: 4.075
Authors: Kan Sun; Feng Li; Diaozhu Lin; Yiqin Qi; Mingtong Xu; Na Li; Chulin Huang; Meng Ren; Yan Li; Li Yan Journal: PLoS One Date: 2014-12-11 Impact factor: 3.240