Evidence map›Paper›PMID 22974173›Full record

ArticleEnvironmental health : a global access science source2012

Daily temperature and mortality: a study of distributed lag non-linear effect and effect modification in Guangzhou.

Jun Yang, Chun-Quan Ou, Yan Ding, Ying-Xue Zhou, Ping-Yan Chen

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 7 pooled it
–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

110 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  4. A review of the impact of outdoor and indoor environmental factors on human health in China.Environmental science and pollution research international · 2020
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  5. Diabetes mortality burden attributable to short-term effect of PMEnvironmental science and pollution research international · 2020
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50 more citing papers are in PubMed but not listed here.

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

5 authors.

Jun YangDepartment of Biostatistics, School of Public Health and Tropical Medicine, Southern Medical University, Guangzhou 510515, China.
Chun-Quan Ou
Yan Ding
Ying-Xue Zhou
Ping-Yan Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough many studies have documented health effects of ambient temperature, little evidence is available in subtropical or tropical regions, and effect modifiers remain uncertain. We examined the effects of daily mean temperature on mortality and effect modification in the subtropical city of Guangzhou, China.

methodsA Poisson regression model combined with distributed lag non-linear model was applied to assess the non-linear and lag patterns of the association between daily mean temperature and mortality from 2003 to 2007 in Guangzhou. The case-only approach was used to determine whether the effect of temperature was modified by individual characteristics, including sex, age, educational attainment and occupation class.

resultsHot effect was immediate and limited to the first 5 days, with an overall increase of 15.46% (95% confidence interval: 10.05% to 20.87%) in mortality risk comparing the 99th and the 90th percentile temperature. Cold effect persisted for approximately 12 days, with a 20.39% (11.78% to 29.01%) increase in risk comparing the first and the 10th percentile temperature. The effects were especially remarkable for cardiovascular and respiratory mortality. The effects of both hot and cold temperatures were greater among the elderly. Females suffered more from hot-associated mortality than males. We also found significant effect modification by educational attainment and occupation class.

conclusionsThere are significant mortality effects of hot and cold temperatures in Guangzhou. The elderly, females and subjects with low socioeconomic status have been identified as especially vulnerable to the effect of ambient temperatures.

Indexed as

MortalityAdolescentAdultAgedAged, 80 and overCause of DeathChildChild, PreschoolChinaCold TemperatureEffect Modifier, EpidemiologicFemaleHot TemperatureHumansInfantInfant, Newborn

Identifiers

PMID22974173
PMCPMC3511876

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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.