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Hospitalizations for heat-stress illness varies between rural and urban areas: an analysis of Illinois data, 1987–2014

Overview of attention for article published in Environmental Health, April 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
11 news outlets
policy
2 policy sources
twitter
2 X users

Citations

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16 Dimensions

Readers on

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123 Mendeley
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Title
Hospitalizations for heat-stress illness varies between rural and urban areas: an analysis of Illinois data, 1987–2014
Published in
Environmental Health, April 2017
DOI 10.1186/s12940-017-0245-1
Pubmed ID
Authors

Jyotsna S. Jagai, Elena Grossman, Livia Navon, Apostolis Sambanis, Samuel Dorevitch

Abstract

The disease burden due to heat-stress illness (HSI), which can result in significant morbidity and mortality, is expected to increase as the climate continues to warm. In the United States (U.S.) much of what is known about HSI epidemiology is from analyses of urban heat waves. There is limited research addressing whether HSI hospitalization risk varies between urban and rural areas, nor is much known about additional diagnoses of patients hospitalized for HSI. Hospitalizations in Illinois for HSI (ICD-9-CM codes 992.x or E900) in the months of May through September from 1987 to 2014 (n = 8667) were examined. Age-adjusted mean monthly hospitalization rates were calculated for each county using U.S. Census population data. Counties were categorized into five urban-rural strata using Rural Urban Continuum Codes (RUCC) (RUCC1, most urbanized to RUCC5, thinly populated). Average maximum monthly temperature (°C) was calculated for each county using daily data. Multi-level linear regression models were used, with county as the fixed effect and temperature as random effect, to model monthly hospitalization rates, adjusting for the percent of county population below the poverty line, percent of population that is Non-Hispanic Black, and percent of the population that is Hispanic. All analyses were stratified by county RUCC. Additional diagnoses of patients hospitalized for HSI and charges for hospitalization were summarized. Highest rates of HSI hospitalizations were seen in the most rural, thinly populated stratum (mean annual summer hospitalization rate of 1.16 hospitalizations per 100,000 population in the thinly populated strata vs. 0.45 per 100,000 in the metropolitan urban strata). A one-degree Celsius increase in maximum monthly average temperature was associated with a 0.34 increase in HSI hospitalization rate per 100,000 population in the thinly populated counties compared with 0.02 per 100,000 in highly urbanized counties. The most common additional diagnoses of patients hospitalized with HSI were dehydration, electrolyte abnormalities, and acute renal disorders. Total and mean hospital charges for HSI cases were $167.7 million and $20,500 (in 2014 US dollars). Elevated temperatures appear to have different impacts on HSI hospitalization rates as function of urbanization. The most rural and the most urbanized counties of Illinois had the largest increases in monthly hospitalization rates for HSI per unit increase in the average monthly maximum temperature. This suggests that vulnerability of communities to heat is complex and strategies to reduce HSI may need to be tailored to the degree of urbanization of a county.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 20%
Researcher 20 16%
Student > Master 16 13%
Student > Bachelor 8 7%
Professor 4 3%
Other 13 11%
Unknown 38 31%
Readers by discipline Count As %
Environmental Science 12 10%
Social Sciences 9 7%
Earth and Planetary Sciences 9 7%
Medicine and Dentistry 8 7%
Engineering 8 7%
Other 24 20%
Unknown 53 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 79. 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 18 October 2023.
All research outputs
#537,787
of 25,436,226 outputs
Outputs from Environmental Health
#151
of 1,606 outputs
Outputs of similar age
#11,278
of 324,812 outputs
Outputs of similar age from Environmental Health
#5
of 36 outputs
Altmetric has tracked 25,436,226 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,606 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.9. This one has done particularly well, scoring higher than 90% 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 324,812 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.