Kaira C van der Pal1, Anitra D M Koopman1, Jeroen Lakerveld1, Amber A van der Heijden2, Petra J Elders2, Joline W Beulens3, Femke Rutters4. 1. Department of Epidemiology and Biostatistics, Amsterdam University Medical Centres, The Netherlands; Amsterdam Public Health Research Institute, The Netherlands. 2. Amsterdam Public Health Research Institute, The Netherlands; Department of General Practice, Amsterdam University Medical Centres, The Netherlands. 3. Department of Epidemiology and Biostatistics, Amsterdam University Medical Centres, The Netherlands; Amsterdam Public Health Research Institute, The Netherlands; Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, The Netherlands. 4. Department of Epidemiology and Biostatistics, Amsterdam University Medical Centres, The Netherlands; Amsterdam Public Health Research Institute, The Netherlands. Electronic address: f.rutters@vumc.nl.
Abstract
BACKGROUND: Previous studies have investigated the association between sleep duration, insomnia, day-time napping and metabolic syndrome individually, but never conjointly. In addition, the association with sleep medication use has yet to be investigated. We aimed to examine the associations between these sleep-related characteristics and the metabolic syndrome, individually and conjointly, in a population-based cohort. MATERIAL AND METHODS: We used cross-sectional data of 1679 participants from the New Hoorn study, 52.6% women and age 60.8 + 6.4y. Sleep duration, insomnia, and day-time napping were measured using validated questionnaires. The use of sleep medication was documented by the registration of dispensing labels. The metabolic syndrome was defined according to ATP III. Linear and Poisson regressions were used, and all analyses were adjusted for age, sex, education level, job status, smoking, physical activity, depression and BMI. RESULTS: In our population-based cohort, 447 (26.6%) persons had the metabolic syndrome. Individual associations showed that, after correction, day-time napping for ≤30 min and >30 min was associated with a prevalence ratio for the metabolic syndrome of 1.28 (95% CI: 1.1-1.5) and 1.74 (95% CI: 1.4-2.2), respectively, compared to participants who did not nap. Sleep duration, insomnia, and sleep medication use were not associated with the metabolic syndrome individually. However, conjointly analyses showed that, after correction, having ≥2 sleep-related characteristics was associated with a PR of 1.36 (95% CI: 1.0-1.8) of having the metabolic syndrome, compared to having no sleep-related characteristics. CONCLUSION: Sleep-related characteristics were associated with a higher prevalence of the metabolic syndrome in the general population.
BACKGROUND: Previous studies have investigated the association between sleep duration, insomnia, day-time napping and metabolic syndrome individually, but never conjointly. In addition, the association with sleep medication use has yet to be investigated. We aimed to examine the associations between these sleep-related characteristics and the metabolic syndrome, individually and conjointly, in a population-based cohort. MATERIAL AND METHODS: We used cross-sectional data of 1679 participants from the New Hoorn study, 52.6% women and age 60.8 + 6.4y. Sleep duration, insomnia, and day-time napping were measured using validated questionnaires. The use of sleep medication was documented by the registration of dispensing labels. The metabolic syndrome was defined according to ATP III. Linear and Poisson regressions were used, and all analyses were adjusted for age, sex, education level, job status, smoking, physical activity, depression and BMI. RESULTS: In our population-based cohort, 447 (26.6%) persons had the metabolic syndrome. Individual associations showed that, after correction, day-time napping for ≤30 min and >30 min was associated with a prevalence ratio for the metabolic syndrome of 1.28 (95% CI: 1.1-1.5) and 1.74 (95% CI: 1.4-2.2), respectively, compared to participants who did not nap. Sleep duration, insomnia, and sleep medication use were not associated with the metabolic syndrome individually. However, conjointly analyses showed that, after correction, having ≥2 sleep-related characteristics was associated with a PR of 1.36 (95% CI: 1.0-1.8) of having the metabolic syndrome, compared to having no sleep-related characteristics. CONCLUSION: Sleep-related characteristics were associated with a higher prevalence of the metabolic syndrome in the general population.
Authors: Yuting Zhang; Yingcai Xie; Lingling Huang; Yan Zhang; Xilin Li; Qiyu Fang; Qun Wang Journal: Int J Environ Res Public Health Date: 2022-09-15 Impact factor: 4.614
Authors: Jun He; Feiyun Ouyang; Dan Qiu; Yanying Duan; Dan Luo; Shuiyuan Xiao Journal: Int J Environ Res Public Health Date: 2020-06-15 Impact factor: 3.390