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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Long-Term Exposure to Ambient Air Pollution and Metabolic Syndrome in Adults
|
|---|---|
| Published in |
PLOS ONE, June 2015
|
| DOI | 10.1371/journal.pone.0130337 |
| Pubmed ID | |
| Authors |
Ikenna C. Eze, Emmanuel Schaffner, Maria Foraster, Medea Imboden, Arnold von Eckardstein, Margaret W. Gerbase, Thomas Rothe, Thierry Rochat, Nino Künzli, Christian Schindler, Nicole Probst-Hensch |
| Abstract |
Air pollutants (AP) play a role in subclinical inflammation, and are associated with cardiovascular morbidity and mortality. Metabolic syndrome (MetS) is inflammatory and precedes cardiovascular morbidity and type 2 diabetes. Thus, a positive association between AP and MetS may be hypothesized. We explored this association, (taking into account, pathway-specific MetS definitions), and its potential modifiers in Swiss adults. We studied 3769 participants of the Swiss Cohort Study on Air Pollution and Lung and Heart Diseases in Adults, reporting at least four-hour fasting time before venepuncture. AP exposures were 10-year mean residential PM10 (particulate matter <10μm in diameter) and NO2 (nitrogen dioxide). Outcomes included MetS defined by World Health Organization (MetS-W), International Diabetes Federation (MetS-I) and Adult Treatment Panel-III (MetS-A) using four- and eight-hour fasting time limits. We also explored associations with individual components of MetS. We applied mixed logistic regression models to explore these associations. The prevalence of MetS-W, MetS-I and MetS-A were 10%, 22% and 18% respectively. Odds of MetS-W, MetS-I and MetS-A increased by 72% (51-102%), 31% (11-54%) and 18% (4-34%) per 10μg/m3 increase in 10-year mean PM10. We observed weaker associations with NO2. Associations were stronger among physically-active, ever-smokers and non-diabetic participants especially with PM10 (p<0.05). Associations remained robust across various sensitivity analyses including ten imputations of missing observations and exclusion of diabetes cases. The observed associations between AP exposure and MetS were sensitive to MetS definitions. Regarding the MetS components, we observed strongest associations with impaired fasting glycemia, and positive but weaker associations with hypertension and waist-circumference-based obesity. Cardio-metabolic effects of AP may be majorly driven by impairment of glucose homeostasis, and to a less-strong extent, visceral adiposity. Well-designed prospective studies are needed to confirm these findings. |
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 % |
|---|---|---|
| United States | 1 | 25% |
| India | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 137 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 15% |
| Researcher | 20 | 14% |
| Student > Master | 19 | 14% |
| Student > Bachelor | 11 | 8% |
| Student > Doctoral Student | 7 | 5% |
| Other | 30 | 22% |
| Unknown | 31 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 20% |
| Environmental Science | 24 | 17% |
| Nursing and Health Professions | 13 | 9% |
| Biochemistry, Genetics and Molecular Biology | 7 | 5% |
| Agricultural and Biological Sciences | 6 | 4% |
| Other | 16 | 12% |
| Unknown | 45 | 32% |
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 14 April 2016.
All research outputs
#13,492,621
of 23,931,222 outputs
Outputs from PLOS ONE
#109,497
of 205,409 outputs
Outputs of similar age
#117,361
of 267,126 outputs
Outputs of similar age from PLOS ONE
#2,987
of 6,720 outputs
Altmetric has tracked 23,931,222 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 205,409 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one is in the 46th percentile – i.e., 46% 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 267,126 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 55% of its contemporaries.
We're also able to compare this research output to 6,720 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 54% of its contemporaries.