| Title |
All-age hospitalization rates in coal seam gas areas in Queensland, Australia, 1995–2011
|
|---|---|
| Published in |
BMC Public Health, February 2016
|
| DOI | 10.1186/s12889-016-2787-5 |
| Pubmed ID | |
| Authors |
Angela K. Werner, Kerrianne Watt, Cate M. Cameron, Sue Vink, Andrew Page, Paul Jagals |
| Abstract |
Unconventional natural gas development (UNGD) is expanding globally, with Australia expanding development in the form of coal seam gas (CSG). Residents and other interest groups have voiced concerns about the potential environmental and health impacts related to CSG. This paper compares objective health outcomes from three study areas in Queensland, Australia to examine potential environmentally-related health impacts. Three study areas were selected in an ecologic study design: a CSG area, a coal mining area, and a rural/agricultural area. Admitted patient data, as well as population data and additional factors, were obtained for each calendar year from 1995 through 2011 to calculate all-age hospitalization rates and age-standardized rates in each of these areas. The three areas were compared using negative binomial regression analyses (unadjusted and adjusted models) to examine increases over time of hospitalization rates grouped by primary diagnosis (19 ICD chapters), with rate ratios serving to compare the within-area regression slopes between the areas. The CSG area did not have significant increases in all-cause hospitalization rates over time for all-ages compared to the coal and rural study areas in adjusted models (RR: 1.02, 95 % CI: 1.00-1.04 as compared to the coal mining area; RR: 1.01, 95 % CI: 0.99-1.04 as compared to the rural area). While the CSG area did not show significant increases in specific hospitalization rates compared to both the coal mining and rural areas for any ICD chapters in the adjusted models, the CSG area showed increases in hospitalization rates compared only to the rural area for neoplasms (RR: 1.09, 95 % CI: 1.02-1.16) and blood/immune diseases (RR: 1.14, 95 % CI: 1.02-1.27). This exploratory study of all-age hospitalization rates for three study areas in Queensland suggests that certain hospital admissions rates increased more quickly in the CSG study area than in other study areas, particularly the rural area, after adjusting for key sociodemographic factors. These findings are an important first step in identifying potential health impacts of CSG in the Australian context and serve to generate hypotheses for future studies. |
X Demographics
The data shown below were collected from the profiles of 116 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 42 | 36% |
| United Kingdom | 3 | 3% |
| Curaçao | 1 | <1% |
| New Zealand | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 68 | 59% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 104 | 90% |
| Scientists | 5 | 4% |
| Science communicators (journalists, bloggers, editors) | 5 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 31% |
| Student > Master | 6 | 17% |
| Student > Bachelor | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 7 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 5 | 14% |
| Nursing and Health Professions | 5 | 14% |
| Medicine and Dentistry | 5 | 14% |
| Social Sciences | 4 | 11% |
| Agricultural and Biological Sciences | 2 | 6% |
| Other | 7 | 20% |
| Unknown | 7 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 96. 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 21 March 2019.
All research outputs
#432,880
of 25,099,766 outputs
Outputs from BMC Public Health
#383
of 16,738 outputs
Outputs of similar age
#8,083
of 408,927 outputs
Outputs of similar age from BMC Public Health
#10
of 255 outputs
Altmetric has tracked 25,099,766 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 16,738 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done particularly well, scoring higher than 97% 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 408,927 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 98% of its contemporaries.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.