Evidence map›Paper›PMID 31767001›Full record

ArticleBMC public health2019

Factors associated with injuries among tornado victims in Yancheng and Chifeng, China.

Qiangyu Deng, Yipeng Lv, Fangjie Zhao, Wenya Yu, Junqiang Dong, Lulu Zhang

Abstract read
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Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qiangyu DengOffice of Military Health Management, 941th Hospital of the Joint Logistics Support Force of the PLA, Xining, Qinghai Province, China.
Yipeng LvOffice of Military Health Management, 909th Hospital of the Joint Logistics Support Force of the PLA, Zhangzhou, Fujian Province, China.
Fangjie ZhaoDepartment of Military Health Management, College of Health Service, Second Military Medical University, 800 Xiangyin Rd, Shanghai, 200433, China.
Wenya YuDepartment of Military Health Management, College of Health Service, Second Military Medical University, 800 Xiangyin Rd, Shanghai, 200433, China.
Junqiang DongDepartment of Military Health Management, College of Health Service, Second Military Medical University, 800 Xiangyin Rd, Shanghai, 200433, China.
Lulu ZhangDepartment of Military Health Management, College of Health Service, Second Military Medical University, 800 Xiangyin Rd, Shanghai, 200433, China. zllrmit@163.com.

Funding

National Natural Science Foundation of China 71774167National Natural Science Foundation of China 71804186National Natural Science Foundation of China 71904198Shanghai pujiang prigram 18PJC116the Great Project of the National Natural Science Foundation of China 91224005the Joint Research Project in Major Disease at the Shanghai Health Service 2013ZYJB0006the Major Project of the 12th Five-Year Plan of People's Liberation Army AWS12J002the Major Project of the National Natural Science Foundation of China 71233008the Military Medical Innovation Project of the 13th Five-Year Plan of People's Liberation Army A1
6 · The paper itself

Abstract

backgroundAs extremely violent meteorological disasters, tornadoes often cause serious casualties. The study aims to analyze the characteristics and causes of tornado injuries in China under certain humanistic and geographical conditions.

methodsA random sampling questionnaire survey was developed and distributed to tornado victims from two separate occurrences: an Enhanced Fujita 4 tornado in Yancheng, and a Fujita 3 tornado in Chifeng. The information of demographic characteristics, disaster environment, and individual behaviors in victims was collected. Chi-square test and binary logistic regression were used to analyze influencing factor of injuries.

resultsA total of 94 valid questionnaires (participation rate 95.9%) were finally collected in Yancheng tornado and 67 valid questionnaires (participation rate 93.1%) in Chifeng tornado. Residents' annual income (OR = 0.10, 95% CI 0.02-0.50, P = 0.005), degree of house collapse (OR = 183.12, 95% CI 8.04-4173.34, P = 0.001) have a significant impact on the probability of injury. Differences in tornado disaster drill awareness (P = 0.009), individual behaviors (P = 0.011) and fear level (P = 0.011) significantly affected the incidence of trauma. Whether victims were indoors or not has no statistical difference on injuries in China.

conclusionsOur study clarifies risk factors and is conducive to the expansion of the investigation in tornado casualties. The government should improve the wind-resistance of residential buildings. Victims should participate in disaster prevention drills to take effective disaster avoidance actions.

Indexed as

DisastersTornadoesAdultAgedChinaFemaleHumansMaleMiddle AgedRisk FactorsSurveys and QuestionnairesWounds and InjuriesYoung AdultEmpirical investigationInfluencing factorsTornadoTrauma

Identifiers

PMID31767001
PMCPMC6878644

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.