Evidence map›Paper›PMID 39247226›Full record

ArticleFrontiers in public health2024

Effects of intra- and inter-day temperature change on acute upper respiratory infections among college students, assessments of three temperature change indicators.

Feng Jiang, Rensong Wang, Yongli Yang, Xiaocan Jia, Leying Ma, Mengyang Yuan, Kangkang Liu, Junzhe Bao

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Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Feng JiangDepartment of Disease Prevention and Control, Zhengzhou University Hospital, Zhengzhou University, Zhengzhou, Henan, China.
Rensong WangDepartment of Emergency, Shanghai Fengxian District Medical Emergency Center, Shanghai, China.
Yongli YangDepartment of Biostatistics and Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Xiaocan JiaDepartment of Biostatistics and Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Leying MaDepartment of Biostatistics and Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Mengyang YuanDepartment of Biostatistics and Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Kangkang LiuDepartment of Research Center for Medicine, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
Junzhe BaoDepartment of Biostatistics and Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute upper respiratory infection (AURI) is a significant disease affecting all age groups worldwide. The differences in the impacts of different temperature change indicators, such as diurnal temperature range (DTR), temperature variation (TV), and temperature change between neighboring days (TCN), on AURI morbidity, are not clear. Methods: We collected data on 87,186 AURI patients during 2014-2019 in Zhengzhou. Distributed lag non-linear model was adopted to examine the effects of different temperature change indicators on AURI. We calculated and compared the attributable fractions (AF) of AURI morbidity caused by various indicators. We used stratified analysis to investigate the modification effects of season and gender. Results: With the increase in DTR and TV, the risk of AURI tended to increase; the corresponding AF values (95% eCI) higher than the references (5% position of the DTR or TV distribution) were 24.26% (15.46%, 32.05%), 23.10% (15.59%, 29.20%), and 19.24% (13.90%, 24.63%) for DTR, TV Conclusions: High DTR and TV may induce AURI morbidity, while the harm of TCN occurs when the temperature drops. The impacts of DTR and TV on AURI are higher than that of TCN, and the impact of few-day TV is higher than that of multi-day TV. The adverse effects of DTR and TV are significant except in summer, while the hazards of TCN mainly occur in winter.

Indexed as

Respiratory Tract InfectionsSeasonsStudentsTemperatureAcute DiseaseAdolescentAdultChinaFemaleHumansMaleUniversitiesYoung Adultacute upper respiratory infectionattributable fractionsDTRTCNTV

Identifiers

PMID39247226
PMCPMC11377250

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