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Daily average temperature and mortality among the elderly: a meta-analysis and systematic review of epidemiological evidence

Overview of attention for article published in International Journal of Biometeorology, October 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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1 policy source
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6 X users

Citations

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171 Dimensions

Readers on

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168 Mendeley
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2 CiteULike
Title
Daily average temperature and mortality among the elderly: a meta-analysis and systematic review of epidemiological evidence
Published in
International Journal of Biometeorology, October 2011
DOI 10.1007/s00484-011-0497-3
Pubmed ID
Authors

Weiwei Yu, Kerrie Mengersen, Xiaoyu Wang, Xiaofang Ye, Yuming Guo, Xiaochuan Pan, Shilu Tong

Abstract

The impact of climate change on the health of vulnerable groups such as the elderly has been of increasing concern. However, to date there has been no meta-analysis of current literature relating to the effects of temperature fluctuations upon mortality amongst the elderly. We synthesised risk estimates of the overall impact of daily mean temperature on elderly mortality across different continents. A comprehensive literature search was conducted using MEDLINE and PubMed to identify papers published up to December 2010. Selection criteria including suitable temperature indicators, endpoints, study-designs and identification of threshold were used. A two-stage Bayesian hierarchical model was performed to summarise the percent increase in mortality with a 1°C temperature increase (or decrease) with 95% confidence intervals in hot (or cold) days, with lagged effects also measured. Fifteen studies met the eligibility criteria and almost 13 million elderly deaths were included in this meta-analysis. In total, there was a 2-5% increase for a 1°C increment during hot temperature intervals, and a 1-2 % increase in all-cause mortality for a 1°C decrease during cold temperature intervals. Lags of up to 9 days in exposure to cold temperature intervals were substantially associated with all-cause mortality, but no substantial lagged effects were observed for hot intervals. Thus, both hot and cold temperatures substantially increased mortality among the elderly, but the magnitude of heat-related effects seemed to be larger than that of cold effects within a global context.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Hong Kong 1 <1%
Australia 1 <1%
India 1 <1%
Canada 1 <1%
Unknown 163 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 20%
Researcher 26 15%
Student > Master 25 15%
Professor > Associate Professor 9 5%
Student > Doctoral Student 8 5%
Other 31 18%
Unknown 36 21%
Readers by discipline Count As %
Environmental Science 37 22%
Medicine and Dentistry 25 15%
Social Sciences 15 9%
Earth and Planetary Sciences 7 4%
Engineering 7 4%
Other 29 17%
Unknown 48 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 May 2021.
All research outputs
#5,380,869
of 26,017,215 outputs
Outputs from International Journal of Biometeorology
#586
of 1,464 outputs
Outputs of similar age
#29,308
of 150,372 outputs
Outputs of similar age from International Journal of Biometeorology
#3
of 8 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,464 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 150,372 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.