Evidence map›Paper›PMID 31720855›Full record

ArticleInternational journal of biometeorology2020

Examining the diurnal temperature range enigma: why is human health related to the daily change in temperature?

Robert E Davis, David M Hondula, Humna Sharif

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Article in International journal of biometeorology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Mortality and diurnal temperature range in Virginia.International journal of biometeorology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Robert E DavisDepartment of Environmental Sciences, University of Virginia, P.O. Box 400123, Charlottesville, VA, 22904-4123, USA. red3u@virginia.edu.ORCID http://orcid.org/0000-0002-3969-878X
David M HondulaSchool of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, 85281, USA.
Humna SharifDepartment of Environmental Sciences, University of Virginia, P.O. Box 400123, Charlottesville, VA, 22904-4123, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increasing number of epidemiological studies are finding statistical evidence that diurnal temperature range (DTR) is positively correlated to human morbidity and mortality despite the lack of clear clinical understanding. We examine a 14-year daily time series of emergency department (ED) admissions to the University of Virginia Medical Center in Charlottesville, Virginia, relative to long-term climate records from the Charlottesville/Albemarle County Airport weather station and the Spatial Synoptic Classification. DTR has a consistent strong positive correlation (r ~ 0.5) with maximum temperature in all months but only a weak, negative correlation (r ~- 0.1) with minimum temperature except in late summer (r ~- 0.4). Warm season DTR is highest on dry air mass days with low dew point temperatures. Cool season DTR is unrelated to morning temperature. Using a distributed lag non-linear model with an emphasis on DTR and its seasonal variation, after stratifying the models by season, we find that ED visits are linked to extreme cold events (cold days and nights) and high DTR in the cold season. In the warm season, ED visits are also linked to high DTR, but these are cool, dry, and pleasant days. The existing confusion regarding interpretation of DTR impacts on health might be rectified through a more careful analysis of the underlying physical factors that drive variations in DTR over the course of a year.

Indexed as

Cold TemperatureHot TemperatureHumansSeasonsTemperatureVirginiaDistributed lag non-linear modelDiurnal temperature rangeEmergency department visitsMorbiditySeasonalitySpatial Synoptic ClassificationTemperature variability

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.