Title |
Estimation of the effects of heavy Asian dust on respiratory function by definition type
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Published in |
Genes and Environment, November 2017
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DOI | 10.1186/s41021-017-0085-9 |
Pubmed ID | |
Authors |
Jun Kurai, Masanari Watanabe, Hisashi Noma, Kyoko Iwata, Jumpei Taniguchi, Hiroyuki Sano, Yuji Tohda, Eiji Shimizu |
Abstract |
The adverse effects of Asian dust (AD) on health have been demonstrated in earlier studies, but there is no standardized definition for heavy-AD. This study aimed to examine which definition of heavy-AD has the most adverse effect on respiratory function. One-hundred-and-thirty-seven adults with asthma, and 384 school children self-measured their morning peak expiratory flow (PEF). The four definitions of heavy-AD are: (1) the definition provided by the Japan Meteorological Agency (JMA), (2) daily median AD particle level ≥ 0.07 km(-1), obtained through light detection and ranging (LIDAR) (3) hourly AD particle level ≥ 0.1 km(-1), and (4) hourly level ≥ 0.07 km(-1). Linear mixed models were used to estimate the effects of heavy-AD, by definition type, on daily PEF values. In adults with asthma, as per the JMA's definition, significantly reduced PEF were observed on heavy-AD days (lag 0), lag 0-1, and lag 0-3. In school children, after a heavy-AD event, as defined by the JMA, PEF significantly decreased on lag 0-1, lag 0-2, and lag 0-3. However, as per the other definitions, there was no significant decrease in the PEF in the adults and children. The associations between heavy-AD and respiratory function differed between these definitions. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 25% |
Student > Postgraduate | 1 | 13% |
Lecturer | 1 | 13% |
Student > Master | 1 | 13% |
Unknown | 3 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 13% |
Environmental Science | 1 | 13% |
Nursing and Health Professions | 1 | 13% |
Agricultural and Biological Sciences | 1 | 13% |
Engineering | 1 | 13% |
Other | 0 | 0% |
Unknown | 3 | 38% |