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Does chronic disease influence susceptibility to the effects of air pollution on depressive symptoms in China?

Overview of attention for article published in International Journal of Mental Health Systems, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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1 blog
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Citations

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19 Dimensions

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102 Mendeley
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Title
Does chronic disease influence susceptibility to the effects of air pollution on depressive symptoms in China?
Published in
International Journal of Mental Health Systems, June 2018
DOI 10.1186/s13033-018-0212-4
Pubmed ID
Authors

Qing Wang, Zhiming Yang

Abstract

Exogenous stressors resulting from air pollution can lead to depression and chronic disease. Chinese levels of air pollution are among the highest in the world, and although associated adverse health effects are gradually emerging, research determining individual vulnerability is limited. This study estimated the association between air pollution and depressive symptoms and identified whether chronic disease influences an individual's susceptibility to depressive symptoms relating to air pollution. Individual sample data from the China Health and Retirement Longitudinal Study and a group of city-level variables in 2011 and 2013 were used with the random effects model and Tobit model. Adjustments were made for demographic, socioeconomic status, health behavior, and city-level climate variables with respect to living areas. Analysis was also stratified using chronic disease characteristics. The total Center for Epidemiological Studies Depression scale evaluating depressive symptoms ranged between 7 and 28 [average 11.623 (SD = 4.664)]. An 1% increase in sulfur dioxide and total suspended particulate emission intensities was associated with depressive symptoms scores that were 1.266 (SE = 0.107, P < 0.001, 95% CI 1.057-1.475) and 1.318 (SE = 0.082, P < 0.001, 95% CI 1.157-1.480) higher, respectively. Compared to respondents without chronic disease, those with chronic diseases such as hypertension, dyslipidemia, diabetes or high blood sugar, cardiovascular diseases, cancer or malignant tumor, liver disease, chronic lung diseases, kidney disease, stomach or other digestive disease, arthritis or rheumatism, and asthma had scores that were higher for depressive symptoms. Results confirm that the adverse health effects of air pollution should be considered when developing air pollution policies. Findings also provide justification for mental health interventions targeting air pollution exposure, especially for people with chronic diseases.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 13%
Student > Master 13 13%
Student > Ph. D. Student 9 9%
Student > Doctoral Student 7 7%
Other 6 6%
Other 19 19%
Unknown 35 34%
Readers by discipline Count As %
Medicine and Dentistry 19 19%
Nursing and Health Professions 12 12%
Psychology 6 6%
Environmental Science 5 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 12 12%
Unknown 44 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 11 August 2018.
All research outputs
#3,309,748
of 23,090,520 outputs
Outputs from International Journal of Mental Health Systems
#187
of 721 outputs
Outputs of similar age
#68,440
of 328,114 outputs
Outputs of similar age from International Journal of Mental Health Systems
#10
of 23 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 721 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 73% 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 328,114 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 79% of its contemporaries.
We're also able to compare this research output to 23 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 56% of its contemporaries.