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

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Seasonal variation in antidepressant prescriptions, environmental light and web queries for seasonal affective disorder. / Lansdall-Welfare, Thomas; Lightman, Stafford; Cristianini, Nello.

In: British Journal of Psychiatry, Vol. 215, No. 2, 01.08.2019, p. 481-484.

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@article{9f499e20c0f047498e89ce85f7e66a96,
title = "Seasonal variation in antidepressant prescriptions, environmental light and web queries for seasonal affective disorder",
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 interest None.",
keywords = "day length, Seasonal affective disorder, web queries",
author = "Thomas Lansdall-Welfare and Stafford Lightman and Nello Cristianini",
year = "2019",
month = "8",
day = "1",
doi = "10.1192/bjp.2019.40",
language = "English",
volume = "215",
pages = "481--484",
journal = "British Journal of Psychiatry",
issn = "0007-1250",
publisher = "Royal College of Psychiatrists",
number = "2",

}

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TY - JOUR

T1 - Seasonal variation in antidepressant prescriptions, environmental light and web queries for seasonal affective disorder

AU - Lansdall-Welfare, Thomas

AU - Lightman, Stafford

AU - Cristianini, Nello

PY - 2019/8/1

Y1 - 2019/8/1

N2 - 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 interest None.

AB - 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 interest None.

KW - day length

KW - Seasonal affective disorder

KW - web queries

UR - http://www.scopus.com/inward/record.url?scp=85068865097&partnerID=8YFLogxK

U2 - 10.1192/bjp.2019.40

DO - 10.1192/bjp.2019.40

M3 - Article

VL - 215

SP - 481

EP - 484

JO - British Journal of Psychiatry

JF - British Journal of Psychiatry

SN - 0007-1250

IS - 2

ER -