| Title |
Effects of smoke-free air law on acute myocardial infarction hospitalization in Indianapolis and Marion County, Indiana
|
|---|---|
| Published in |
BMC Public Health, February 2018
|
| DOI | 10.1186/s12889-018-5153-y |
| Pubmed ID | |
| Authors |
Anne M. Weaver, Yi Wang, Katelin Rupp, Dennis P. Watson |
| Abstract |
A comprehensive smoke-free air law was enacted on June 1, 2012 in most of Marion County, Indiana, including all of the City of Indianapolis. We evaluated changes in acute myocardial infarction (AMI) admission rates in Indianapolis and Marion County before compared to after the law. We collected AMI admissions from five Marion County hospitals between May 2007 and December 2014. We used Poisson regression to evaluate the overall effects of the law on monthly AMI hospitalizations, adjusting for month, seasonality, meteorology, air pollution, and hospital utilization. We tested the interactions between the law and AMI risk factors on monthly AMI admission rates to identify subpopulations for which the effects might be stronger. Monthly AMI admissions declined 20% (95% CI 14-25%) in Marion County and 25% (95% CI 20-29%) in Indianapolis after the law was implemented. We observed decreases among never (21%, 95% CI 13-29%), former (28%, 95% CI 21-34%), and current smokers (26%, 95% CI 11-38%); Medicaid beneficiaries (19%, 95% CI 9-29%) and non-beneficiaries (26%, 95% CI 20-31%). We observed decreases among those with a history of diabetes (Yes: 22%, 95% CI 14-29%; No: 25%, 95% CI 18-31%), congestive heart failure (Yes: 23%, 95% CI 16-30%; No: 24%, 95% CI 17-31%), and hypertension (Yes: 23%, 95% CI 17-28%: No: 26%, 95% CI 15-36%). We observed decreases in AMI admissions comparable with previous studies. We identified subpopulations who benefitted from the law, such as former and current smokers, and those without comorbidities such as congestive heart failure and hypertension. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 18% |
| Researcher | 6 | 16% |
| Student > Bachelor | 4 | 11% |
| Lecturer | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 13 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 8 | 21% |
| Medicine and Dentistry | 7 | 18% |
| Social Sciences | 5 | 13% |
| Psychology | 3 | 8% |
| Arts and Humanities | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 13 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 28 March 2018.
All research outputs
#2,840,666
of 23,023,224 outputs
Outputs from BMC Public Health
#3,264
of 14,997 outputs
Outputs of similar age
#69,035
of 442,600 outputs
Outputs of similar age from BMC Public Health
#101
of 276 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,997 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. 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 442,600 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 84% of its contemporaries.
We're also able to compare this research output to 276 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.