The multidimensionality of sleep in population-based samples: a narrative review.

The multidimensionality of sleep in population-based samples: a narrative review.
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DOI:
10.1111/jsr.13608
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发表时间:
2022-08
影响因子:
4.4
通讯作者:
Luik, Annemarie I.
Luik, Annemarie I.
中科院分区:
医学3区
文献类型:
--
作者:
van de Langenberg, Sterre C. N.;Kocevska, Desana;Luik, Annemarie I.

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长期以来,为普通人群确定最佳睡眠时间建议一直是公共卫生议程上的一个重要目标,因为短睡眠时间和长睡眠时间都与不利的健康结果有关。然而,睡眠不仅仅是持续时间,还可以在多个领域进行描述,例如时间,规律性,满意度,警觉性和效率。我们回顾了基于人群的观察性研究,这些研究检查了睡眠多个维度的年龄,性别和来源差异。回顾文献表明,老年人失眠症状的患病率越来越高,睡眠时间缩短,深度减少。总体而言,女性的睡眠质量比男性差,尽管客观测量显示男性的睡眠时间更短,更分散。少数民族的睡眠数量和质量普遍较差,但多民族研究报告了关于睡眠主观体验的混合结果。总之,年龄,性别和起源的影响在睡眠维度上各不相同,因此建议睡眠的多维性以及这些不同方面如何相互作用应该在个体之间进行研究。研究应包括自我报告的测量和基于不同人群样本的客观评估,因为这两个方面对于了解一般人群的睡眠健康都很重要。数据驱动的描述可以为研究人员和临床医生提供有关个人睡眠状况的见解,并为促进整个人群的睡眠健康提供具体目标。
The identification of optimal sleep duration recommendations for the general population has long been an important goal on the public health agenda, as both short and long sleep duration have been linked to unfavourable health outcomes. Yet, sleep is more than duration alone and can be described across multiple domains, such as timing, regularity, satisfaction, alertness, and efficiency. We reviewed observational population‐based studies that examined differences in age, sex, and origin across multiple dimensions of sleep. Reviewed literature suggests an increasing prevalence of insomnia symptoms, shorter and less deep sleep in old age. Overall, women report poorer sleep quality than men despite objective measures revealing shorter and more fragmented sleep in men. Minorities generally have poorer quantity and quality of sleep, but multi‐ethnic studies have reported mixed results regarding the subjective experience of sleep. In sum, effects of age, sex and origin differ across sleep dimensions, thereby suggesting that the multidimensionality of sleep and how these different aspects interact should be studied across individuals. Studies should include both self‐reported measures and objective assessments in diverse population‐based samples, as both aspects are important to understand sleep health in the general population. Data‐driven descriptions could provide researchers and clinicians with insights into how well individuals are sleeping and offer concrete targets for promotion of sleep health across the population.
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发表时间: 2020-11-07
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