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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Cross-sectional associations between residential environmental exposures and cardiovascular diseases
|
|---|---|
| Published in |
BMC Public Health, April 2015
|
| DOI | 10.1186/s12889-015-1788-0 |
| Pubmed ID | |
| Authors |
Antony Chum, Patricia O’Campo |
| Abstract |
Prior research examining neighbourhood effects on cardiovascular diseases (CVDs) has focused on the impact of neighbourhood socio-economic status or a few selected environmental variables. No studies of cardiovascular disease outcomes have investigated a broad range of urban planning related environmental factors. This is the first study to combine multiple neighbourhood influences in an integrated approach to understanding the association between the built and social environment and CVDs. By modeling multiple neighbourhood level social and environmental variables simultaneously, the study improved the estimation of effects by accounting for potential contextual confounders. Data were collected using a cross-sectional survey (n = 2411) across 87 census tracts (CT) in Toronto, Canada, and commercial and census data were accessed to characterize the residential environment. Multilevel regressions were used to estimate the associations of neighbourhood factors on the risk of CVD. Exposure to violent crimes, environmental noise, and proximity to a major road were independently associated with increased odds of CVDs (p < 0.05) in the fully adjusted model. While reduced access to food stores, parks/recreation, and increased access to fast food restaurants were associated with increased odds of CVDs in partially adjusted models (p < 0.05), these associations were fully attenuated after adjusting for BMI and physical activity. Housing disrepair was not associated with CVD risk. These findings illustrate the importance of measuring and modeling a broad range of neighborhood factors- exposure to violent crimes, environmental noise, and traffic, and access to food stores, fast food, parks/recreation areas- to identify specific stressors in relation to adverse health outcomes. Further research to investigate the temporal order of events is needed to better understand the direction of causation for the observed associations. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 50% |
| Norway | 1 | 25% |
| United States | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 175 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 28 | 16% |
| Student > Ph. D. Student | 24 | 13% |
| Researcher | 20 | 11% |
| Student > Doctoral Student | 13 | 7% |
| Student > Bachelor | 10 | 6% |
| Other | 33 | 19% |
| Unknown | 50 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 16% |
| Social Sciences | 28 | 16% |
| Environmental Science | 10 | 6% |
| Nursing and Health Professions | 9 | 5% |
| Sports and Recreations | 7 | 4% |
| Other | 28 | 16% |
| Unknown | 68 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 May 2015.
All research outputs
#13,358,483
of 22,800,560 outputs
Outputs from BMC Public Health
#9,465
of 14,855 outputs
Outputs of similar age
#125,916
of 263,976 outputs
Outputs of similar age from BMC Public Health
#146
of 239 outputs
Altmetric has tracked 22,800,560 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,855 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 263,976 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 239 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.