Contribution of the transfer of industrial emissions by predominate winds to changes in laboratory indicators of the state of population health
- 作者: Khripach L.V.1, Budarina O.V.1, Zheleznyak E.V.1, Knyazeva T.D.1, Makovetskaya A.K.1, Koganova Z.I.1, Sabirova Z.F.1, Shipulina Z.V.1
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隶属关系:
- Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency
- 期: 卷 101, 编号 3 (2022)
- 页面: 331-337
- 栏目: HYGIENE OF CHILDREN AND ADOLESCENTS
- ##submission.datePublished##: 04.04.2022
- URL: https://rjpbr.com/0016-9900/article/view/639432
- DOI: https://doi.org/10.47470/0016-9900-2022-101-3-331-337
- ID: 639432
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Introduction. Horizontal transport of air pollutants by predominant winds plays an important role in the dispersion of emissions from their primary sources.
The purpose of this study is to assess the contribution of prevailing winds to changes of non-invasive markers in preschool children living in a small city at different distances and in different directions from the complex of agricultural processing enterprises.
Materials and methods. Next markers were determined in mixed saliva samples of 112 children (aged 5–7 years) attending 6 kindergartens at distances of 1.74–5.74 km from the source of emissions toward the SSW, SSE and SE: the intensity of luminol-enchanced chemiluminescence (LC), secretory IgA, IL-1β, IL-6, IL-8 levels, and uric acid, α-amylase and N-acetyl-β-D-glucosaminidase activities. Based on the Meteoblue database, integral indicators of wind repeatebility (W, km/year) for winds, blowing towards the town from NNE, NNW and NW correspondingly, were calculated.
Results. As a marker of the effect for multiple regression analysis, the intensity of LC in children’s saliva samples was chosen as having the most pronounced relationship with the distances between kindergartens and the source of emissions (R = –0.524; p = 7•10–9). The distances were shown to explain 49% of the total variance of LC intensity (p = 3•10–8), whereas the transfer of emissions with prevailing winds explains 16% of the total variance (p = 0.058). The resulting 3D model is in good agreement with previously conflicting data for two equidistant kindergartens having significant differences in children LC intensity, since corresponding wind repeatebilities differ twofold.
Limitations. To develop the 3D model, archival data were used, with the theoretical possibility of planning a population survey with a more complete coverage of the wind rose points.
Conclusion. The results obtained indicate that it is promising to assess the contribution of prevailing winds when analyzing the data of human health in the industrial areas.
Contributions:
Khripach L.V. — research concept and design, determination of biochemical and immunological indices in saliva samples, wind data adaptation, statistical analysis, interpretation and writing of the manuscript;
Budarina O.V. — research concept and design;
Zheleznyak E.V., Knyazeva T.D., Makovetskaya A.K., Koganova Z.I. — determination of biochemical and immunological indices in saliva samples;
Sabirova Z.F., Shipulina Z.V. — evaluation of expositions.
All authors are responsible for the integrity of all parts of the manuscript and approval of the manuscript final version.
Conflict of interest. The authors declare no conflict of interest.
Acknowledgement. The study had no sponsorship.
Received: July 26, 2021 / Accepted: November 25, 2021 / Published: April 08, 2022
作者简介
Ludmila Khripach
Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency
编辑信件的主要联系方式.
Email: lkhripach@cspmz.ru
ORCID iD: 0000-0003-0170-3085
MD, PhD, DSci., leading reseacher of the Department of Preventive Toxicology and Biomedical Research, Centre for Strategic Planning and Management of Biomedical Health Risks” of the Federal Medical Biological Agency, Moscow, 119121, Russian Federation.
e-mail: LKhripach@cspmz.ru
俄罗斯联邦Olga Budarina
Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency
Email: noemail@neicon.ru
ORCID iD: 0000-0003-4319-7192
俄罗斯联邦
Evgeniya Zheleznyak
Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency
Email: noemail@neicon.ru
ORCID iD: 0000-0001-9339-9310
俄罗斯联邦
Tatiana Knyazeva
Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency
Email: noemail@neicon.ru
ORCID iD: 0000-0001-5279-5018
俄罗斯联邦
Anna Makovetskaya
Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency
Email: noemail@neicon.ru
ORCID iD: 0000-0002-4652-1755
俄罗斯联邦
Zoya Koganova
Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency
Email: noemail@neicon.ru
ORCID iD: 0000-0002-4622-8110
俄罗斯联邦
Zulfiya Sabirova
Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency
Email: noemail@neicon.ru
ORCID iD: 0000-0003-3505-8344
俄罗斯联邦
Zinaida Shipulina
Centre for Strategic Planning and Management of Biomedical Health Risks of the Federal Medical Biological Agency
Email: noemail@neicon.ru
ORCID iD: 0000-0001-8409-6713
俄罗斯联邦
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