| Title |
Traffic-related air pollution is associated with cardio-metabolic biomarkers in general residents
|
|---|---|
| Published in |
International Archives of Occupational and Environmental Health, April 2016
|
| DOI | 10.1007/s00420-016-1129-3 |
| Pubmed ID | |
| Authors |
Shuo Jiang, Liang Bo, Changyi Gong, Xihao Du, Haidong Kan, Yuquan Xie, Weimin Song, Jinzhuo Zhao |
| Abstract |
The study was conducted to explore the mechanisms linking traffic-related air pollution and cardio-metabolic risk. The participants included 371 men and women aged from 45 to 75 in an urban residential area in Shanghai, China. The participants were divided into four categories (≤50, 51-100, 101-200 and >200 m) according to the residential distance to major road. Additionally, the personal fine particulate matter (PM2.5) was measured from 8:00 am to 6:00 pm to assess the PM2.5 exposure in general residents. Then, the continuous subclinical measurements and biological effects related to cardio-metabolic disorders were detected. The generalized linear regression analysis was applied for estimating the adjusted hazards ratio for cardio-metabolic disorders relative to traffic-related air pollution. The average personal PM2.5 is 111.1 μg/m(3) in the participants living within 50 m to major road, which is significantly higher than the personal PM2.5 (68.2 μg/m(3)) in the participants living more than 200 m away from the major road. The participants living within 50 m to major road compared with those living more than 200 m away have 1.15 times higher of heart rate (HR), 1.95 times higher of fasting insulin, 1.30 times higher of homeostasis model assessment of insulin resistance (HOMA-IR), 1.56 times higher of low-density lipoprotein cholesterol (LDL-C), 8.39 times higher of interleukin 6 (IL-6), 4.30 times higher of augmentation index (AI), 1.60 times higher of systolic blood pressure (SBP) and 1.91 times higher of diastolic blood pressure (DBP). Contrary to the increase in above biological effects, there were 1.06 times lower of low frequency (LF), 1.05 times lower of high frequency (HF), 2.54 times lower of IL-10, 4.61 times lower of nitric oxide (NO), 1.19 times lower of superoxide dismutase (SOD) and 1.85 times lower of total antioxidant capacity (T-AOC). There was no clear exposure-response relationship can be observed in the fasting glucose, LF/HF, cholesterol and high-density lipoprotein (HDL). Long-term exposure to traffic-related air pollution may contribute to the development or exacerbation of cardio-metabolic disorders. The mechanisms linking air pollution and cardio-metabolic disorders may be associated with the increased systemic inflammation and oxidative stress, reduced insulin sensitivity and elevated arterial stiffness and blood pressure. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 15% |
| Student > Ph. D. Student | 13 | 15% |
| Researcher | 10 | 11% |
| Student > Bachelor | 8 | 9% |
| Student > Doctoral Student | 6 | 7% |
| Other | 12 | 13% |
| Unknown | 27 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 15 | 17% |
| Medicine and Dentistry | 14 | 16% |
| Nursing and Health Professions | 9 | 10% |
| Agricultural and Biological Sciences | 3 | 3% |
| Sports and Recreations | 3 | 3% |
| Other | 13 | 15% |
| Unknown | 32 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 July 2017.
All research outputs
#19,221,261
of 23,815,455 outputs
Outputs from International Archives of Occupational and Environmental Health
#1,799
of 1,988 outputs
Outputs of similar age
#221,609
of 300,928 outputs
Outputs of similar age from International Archives of Occupational and Environmental Health
#9
of 13 outputs
Altmetric has tracked 23,815,455 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,988 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 3rd percentile – i.e., 3% 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 300,928 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.