Seasonality, morningness-eveningness, and sleep in common non - communicable medical conditions and chronic diseases in a population.
Seasonality, morningness-eveningness, and sleep in common non - communicable medical conditions and chronic diseases in a population.
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DOI：
10.5935/1984-0063.20180017
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发表时间：
2018-03
期刊：
影响因子：
--
通讯作者：
Partonen T
中科院分区：
文献类型：
--
作者：
Basnet S;Merikanto I;Lahti T;Männistö S;Laatikainen T;Vartiainen E;Partonen T
情绪和行为的季节性模式，早晨-晚上的行为特征和睡眠是相互关联的特征，可以作为疾病发展或恶化的病因因素。方法：这项研究是基于随机抽样的居民年龄在25至74岁的生活在芬兰。作为国家FINRISK 2012研究的一部分，参与者被邀请（n=9905），并询问医生是否在过去12个月内诊断或治疗过他们的慢性病。结果如下：共有6424名参与者填写了第一套问卷，5826名参与者参加了身体健康状况检查，然后填写了第二套问卷。建立回归模型，其中每个条件的季节性，昼夜和睡眠功能，控制了一系列的背景因素后解释。在慢性疾病中，抑郁症与较长的总睡眠时间（p<.0001）和较差的睡眠质量（p<.0001）相关。在健康状况评估的测量中，没有一个与睡眠特征相关，但是收缩压与季节和昼夜特征都有显著的相关性（p<0.0001）。结论：在这项基于人群的研究中，睡眠质量是与慢性病相关的最敏感的探针。情绪和社会活动的季节性变化，以及早上起床和疲劳的容易程度，是与血压和腰围相关的最敏感的探针。因此，对睡眠质量、季节和昼夜特征的评估为一般人群的健康调查提供了附加值。
The seasonal pattern for mood and behaviour, the behavioural trait of morningness-eveningness, and sleep are interconnected features, that may serve as etiological factors in the development or exacerbation of medical conditions. Methods: The study was based on a random sample of inhabitants aged 25 to 74 years living in Finland. As part of the national FINRISK 2012 study participants were invited (n=9905) and asked whether the doctor had diagnosed or treated them during the past 12 months for chronic diseases. Results: A total of 6424 participants filled in the first set of questionnaires and 5826 attended the physical health status examination, after which the second set of questionnaires were filled. Regression models were built in which each condition was explained by the seasonal, diurnal and sleep features, after controlling for a range of background factors. Of the chronic diseases, depressive disorder was associated with longer total sleep duration (p<.0001) and poor sleep quality (p<.0001). Of the measurements for health status assessment, none associated with sleep features, but systolic blood pressure yielded significant (p<.0001) associations with both seasonal and diurnal features at large. Conclusion: Sleep quality was the most sensitive probe in yielding associations with chronic diseases in this population-based study. The seasonal variations in mood and social activity, and the ease in getting up and tiredness in the morning were the most sensitive probes in yielding associations with blood pressure and waist circumference. Assessment of sleep quality, seasonal and diurnal features provides thus added value for health surveys of the general population.