Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93500
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dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.creatorCong, Jen_US
dc.creatorWang, LBen_US
dc.creatorLiu, FJen_US
dc.creatorQian, Zen_US
dc.creatorMcMillin, SEen_US
dc.creatorVaughn, MGen_US
dc.creatorSong, Yen_US
dc.creatorWang, Sen_US
dc.creatorChen, Sen_US
dc.creatorXiong, Sen_US
dc.creatorShen, Xen_US
dc.creatorSun, Xen_US
dc.creatorZhou, Yen_US
dc.creatorHo, HCen_US
dc.creatorDong, GHen_US
dc.date.accessioned2022-07-08T01:02:47Z-
dc.date.available2022-07-08T01:02:47Z-
dc.identifier.issn0013-9351en_US
dc.identifier.urihttp://hdl.handle.net/10397/93500-
dc.language.isoenen_US
dc.publisherAcademic Pressen_US
dc.rights© 2021 Elsevier Inc. All rights reserved.en_US
dc.rights© 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Cong, J., Wang, L.-B., Liu, F.-J., Qian, Z., McMillin, S. E., Vaughn, M. G., Song, Y., Wang, S., Chen, S., Xiong, S., Shen, X., Sun, X., Zhou, Y., Ho, H. C., & Dong, G.-H. (2022). Associations between metabolic syndrome and anthropogenic heat emissions in northeastern China. Environmental Research, 204, 111974 is available at https://dx.doi.org/10.1016/j.envres.2021.111974.en_US
dc.subjectAnthropogenic heat emissionsen_US
dc.subjectDose-response relationshipen_US
dc.subjectMetabolic syndromeen_US
dc.subjectThreshold effecten_US
dc.titleAssociations between metabolic syndrome and anthropogenic heat emissions in northeastern Chinaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume204en_US
dc.identifier.issuepart Aen_US
dc.identifier.doi10.1016/j.envres.2021.111974en_US
dcterms.abstractBackground: Recent research attention has been paid to anthropogenic heat emissions (AE), temperature increase generated by human activity such as lighting, transportation, manufacturing, construction, and building climate controls. However, there is no epidemiological data available to investigate the association between anthropogenic heat emissions and metabolic syndrome (MetS), a cluster of conditions that increase risk of stroke, heart disease and diabetes.en_US
dcterms.abstractObjective: To explore the relationships between AE and MetS in China.en_US
dcterms.abstractMethods: We recruited 15,477 adults from the 33 Communities Chinese Health Study, a cross-sectional study in northeastern China. We retrieved anthropogenic heat flux by collecting socio-economic and energy consumption data as well as satellite-based nighttime light and Normalized Difference Vegetation Index datasets, including emissions from buildings, transportation, human metabolism, and industries. We also measured MetS components consisting of triglycerides, high density lipoprotein cholesterol, fasting glucose, systolic blood pressure, and diastolic blood pressure, and waist circumference. Restricted cubic spline models were applied to assess the associations between AE and MetS.en_US
dcterms.abstractResults: The median flux of total AE was 30.98 W/m2 and industrial AE was the dominant contributor (87.64%). The adjusted odds ratio and 95% confidence interval (CI) of MetS for the 75th and 95th percentiles of the total AE against the threshold were 1.29 (95% CI: 1.21, 1.38) and 1.65 (95% CI: 1.47, 1.85). Greater AE was associated with higher odds of MetS in a dose-response pattern, and the lowest point of U-shape curve indicated the threshold effect. Participants who are young and middle-aged exhibited stronger associations between AE and MetS.en_US
dcterms.abstractConclusions: Our novel findings reveal that AE are positively associated with MetS and that associations are modified by age. Further investigations into the mechanisms of the effects are needed.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEnvironmental research, Mar. 2022, v. 204, pt. A, 111974en_US
dcterms.isPartOfEnvironmental researchen_US
dcterms.issued2022-03-
dc.identifier.scopus2-s2.0-85114192642-
dc.identifier.pmid34480945-
dc.identifier.artn111974en_US
dc.description.validate202207 bcfcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLSGI-0001-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Key Research and Development Program of China; National Natural Science Foundation of China; the Science and Technology Program of Guangzhou; Guangdong Provincial Natural Science Foundation Team Project; Fundamental Research Funds for the Central Universities; Natural Science Foundationen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS56136380-
dc.description.oaCategoryGreen (AAM)en_US
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