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抗抑郁药处方、环境光线与季节性情感障碍网络查询的季节性变化。

Seasonal variation in antidepressant prescriptions, environmental light and web queries for seasonal affective disorder.

机构信息

Research Associate,Intelligent Systems Laboratory,University of Bristol,UK.

Professor of Medicine,Henry Wellcome Laboratories for Integrative Neuroscience and Endocrinology,University of Bristol,UK.

出版信息

Br J Psychiatry. 2019 Aug;215(2):481-484. doi: 10.1192/bjp.2019.40. Epub 2019 Mar 29.

DOI:10.1192/bjp.2019.40
PMID:30924435
Abstract

The state of an individual's mental health depends on many factors. Determination of the importance of any particular factor within a population needs access to unbiased data. We used publicly available data-sets to investigate, at a population level, how surrogates of mental health covary with light exposure. We found strong seasonal patterns of antidepressant prescriptions, which show stronger correlations with day length than levels of solar energy. Levels of depression in a population can therefore be determined by proxy indicators such as web query logs. Furthermore, these proxies for depression correlate with day length rather than solar energy.Declaration of interestNone.

摘要

个体的心理健康状况取决于许多因素。要确定人群中任何特定因素的重要性,需要获得无偏倚的数据。我们使用公开可用的数据集,从人群水平上研究了心理健康的替代指标与光照暴露之间的相关性。我们发现抗抑郁药处方具有很强的季节性模式,与日照时间的相关性强于太阳能水平。因此,人群中的抑郁水平可以通过代理指标(如网络查询日志)来确定。此外,这些抑郁的代理指标与日照时间相关,而与太阳能无关。

利益声明

无。

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