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Long-term effects of PM2·5 on neurological disorders in the American Medicare population: a longitudinal cohort study.

Author(s): Shi L, Wu X, Danesh Yazdi M, Braun D, Abu Awad Y, Wei Y, Liu P, Di Q, Wang Y, Schwartz J, Dominici F, Kioumourtzoglou MA, Zanobetti A...

BACKGROUND: Accumulating evidence links fine particulate matter (PM2·5) to premature mortality, cardiovascular disease, and respiratory disease. However, less is known about the influence of PM2·5 ...

Article GUID: 33091388
Dynamic modeling of dielectric elastomer actuator with conical shape.

Author(s): Huang P, Ye W, Wang Y

PLoS One. 2020;15(8):e0235229 Authors: Huang P, Ye W, Wang Y

Article GUID: 32797117
Change in PM2.5 exposure and mortality among Medicare recipients: Combining a semi-randomized approach and inverse probability weights in a low exposure population.

Author(s): Awad YA, Di Q, Wang Y, Choirat C, Coull BA, Zanobetti A, Schwartz J

Environ Epidemiol. 2019 Aug;3(4):e054 Authors: Awad YA, Di Q, Wang Y, Choirat C, Coull BA, Zanobetti A, Schwartz J

Article GUID: 31538135
Saccharification efficiencies of multi-enzyme complexes produced by aerobic fungi.

Author(s): Badhan A, Huang J, Wang Y, Abbott DW, Di Falco M, Tsang A, McAllister T

N Biotechnol. 2018 Nov 25;46:1-6 Authors: Badhan A, Huang J, Wang Y, Abbott DW, Di Falco M, Tsang A, McAllister T

Article GUID: 29803771
New recombinant fibrolytic enzymes for improved in vitro ruminal fiber degradability of barley straw.

Author(s): Ribeiro GO, Badhan A, Huang J, Beauchemin KA, Yang W, Wang Y, Tsang A, McAllister TA

J Anim Sci. 2018 Jul 20;: Authors: Ribeiro GO, Badhan A, Huang J, Beauchemin KA, Yang W, Wang Y, Tsang A, McAllister TA

Article GUID: 30053012
Simulating micro-scale thermal interactions in different building environments for mitigating urban heat islands.

Author(s): Chatterjee S, Khan A, Dinda A, Mithun S, Khatun R, Akbari H, Kusaka H, Mitra C, Bhatti SS, Doan QV, Wang Y

Sci Total Environ. 2019 May 01;663:610-631 Authors: Chatterjee S, Khan A, Dinda A, Mithun S, Khatun R, Akbari H, Kusaka H, Mitra C, Bhatti SS, Doan QV, Wang Y

Article GUID: 30731408
Title:Change in PM2.5 exposure and mortality among Medicare recipients: Combining a semi-randomized approach and inverse probability weights in a low exposure population.
Authors:Awad YA,  Di Q,  Wang Y,  Choirat C,  Coull BA,  Zanobetti A,  Schwartz J
Link:https://www.ncbi.nlm.nih.gov/pubmed/31538135?dopt=Abstract
DOI:10.1097/EE9.0000000000000054
Category:Environ Epidemiol
PMID:31538135
Dept Affiliation: PSYCHOLOGY
1 Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
2 Department of Psychology, Concordia University, Montreal, Canada.
3 Research Center for Public Health, Tsinghua University, Beijing, China.
4 Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusett.
5 Swiss Data Science Center, Lausanne, Canton of Vaud, Switzerland.
6 Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

Description:

Change in PM2.5 exposure and mortality among Medicare recipients: Combining a semi-randomized approach and inverse probability weights in a low exposure population.

Environ Epidemiol. 2019 Aug;3(4):e054

Authors: Awad YA, Di Q, Wang Y, Choirat C, Coull BA, Zanobetti A, Schwartz J

Abstract

The association between PM2.5 and mortality is well established; however, confounding by unmeasured factors is always an issue. In addition, prior studies do not tell us what the effect of a sudden change in exposure on mortality is. We consider the sub-population of Medicare enrollees who moved residence from one ZIP Code to another from 2000 to 2012. Because the choice of new ZIP Code is unlikely to be related with any confounders, restricting to the population of movers allows us to have a study design that incorporates randomization of exposure. Over 10 million Medicare participants moved. We calculated change in exposure by subtracting the annual exposure at original ZIP Code from exposure at the new ZIP Code using a validated model. We used Cox proportional hazards models stratified on original ZIP Code with inverse probability weights (IPW) to control for individual and ecological confounders at the new ZIP Code. The distribution of covariates appeared to be randomized by change in exposure at the new locations as standardized differences were mostly near zero. Randomization of measured covariates suggests unmeasured covariates may be randomized also. Using IPW, per 10 µg/m3 increase in PM2.5, the hazard ratio was 1.21 (95% confidence interval [CI] = 1.20, 1.22] among whites and 1.12 (95% CI = 1.08, 1.15) among blacks. Hazard ratios increased for whites and decreased for blacks when restricting to exposure levels below the current standard of 12 µg/m3. This study provides evidence of likely causal effects at concentrations below current limits of PM2.5.

PMID: 31538135 [PubMed]