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Living in areas with different levels of earthquake damage and association with risk of cardiovascular disease: a cohort-linkage study

Overview of attention for article published in The Lancet Planetary Health, September 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
11 news outlets
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6 X users
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Readers on

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77 Mendeley
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Article details
Title
Living in areas with different levels of earthquake damage and association with risk of cardiovascular disease: a cohort-linkage study
Published in
The Lancet Planetary Health, September 2017
DOI 10.1016/s2542-5196(17)30101-8
Pubmed ID
Authors
Abstract

Cardiovascular disease rates are known to increase immediately after a severe earthquake. However, less is known about the magnitude of this increase over time in relation to the amount of housing damage. We assessed the effect of area housing damage from a major earthquake sequence in Christchurch, Canterbury province, New Zealand, on cardiovascular disease-related hospital admissions and deaths. For this cohort-linkage study, we used linked administrative datasets from the Statistics New Zealand Integrated Data Infrastructure to identify individuals aged 45 years or older living in Christchurch from the date of the first earthquake on Sept 4, 2010. Individuals were assigned the average damage level for their residential meshblock (small neighbourhood generally comprising 10-50 dwellings) using the insurance-assessed residential building damage costs obtained from the Earthquake Commission as a proportion of property value. We calculated the rates of cardiovascular disease-related hospital admissions (including myocardial infarction) and cardiovascular disease-related mortality and rate ratios (adjusted for age, sex, ethnicity, small-area deprivation index, and personal income) by level of housing damage in the first year and the 4 subsequent years after the earthquake. The rate ratio association between earthquake housing damage and cardiovascular event was examined by Poisson regression, and linear test of trends across damage categories was done by regression modeling. We identified 179 000 residents living in the earthquake-affected region of Christchurch, of whom 148 000 had complete data. For the first 3 months after the Feb 22, 2011 earthquake, the Poisson regression-adjusted rate ratio (RR) for cardiovascular disease-related hospital admissions for residents from areas that were most damaged (compared with residents from the least damaged areas) was 1·12 (95% CI 0·96-1·32; test for linear trend p=0·239). In the first year after the earthquake sequence, for residents from areas that were most damaged (vs the least damaged areas), Poisson regression-adjusted RRs were 1·10 (1·01-1·21; test for linear trend p=0·068) for cardiovascular disease-related hospital admissions, 1·22 (1·00-1·48; p=0·036) for myocardial infarction-related hospital admissions, and 1·25 (1·06-1·47; p=0·105) for cardiovascular disease-related mortality, corresponding to an excess of 66 (95% CI 7-125) cardiovascular disease-related hospital admissions, including 29 (0-53) additional myocardial infarction-related hospital admissions and 46 (13-73) additional deaths from cardiovascular disease. In the 4 subsequent years, we found no evidence of an association of these outcomes with earthquake damage. Rates of cardiovascular disease and myocardial infarction were increased in people living in areas with more severely damaged homes in the first year after a major earthquake. Policy responses to reduce the effect of earthquake damage on cardiovascular disease could include pre-earthquake measures to minimise building damage, early wellbeing interventions within the first year to address post-earthquake stress, and enhanced provision of cardiovascular disease prevention and treatment services. Healthier Lives National Science Challenge and Natural Hazards Research Platform, Ministry of Business, Innovation and Employment.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 11 14%
Student > Master 7 9%
Researcher 7 9%
Other 6 8%
Student > Ph. D. Student 6 8%
Other 15 19%
Unknown 25 32%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 13 17%
Social Sciences 7 9%
Nursing and Health Professions 4 5%
Agricultural and Biological Sciences 3 4%
Neuroscience 3 4%
Other 17 22%
Unknown 30 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 98. 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 02 November 2023.
All research outputs
#480,499
of 27,957,894 outputs
Outputs from The Lancet Planetary Health
#251
of 1,145 outputs
Outputs of similar age
#9,098
of 329,323 outputs
Outputs of similar age from The Lancet Planetary Health
#7
of 30 outputs
Altmetric has tracked 27,957,894 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,145 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 135.2. This one has done well, scoring higher than 78% 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 329,323 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 97% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.