Evidence map›Paper›PMID 27367715›Full record

ArticleInternational journal of environmental research and public health2016

A Cross-Sectional Study of Heat Wave-Related Knowledge, Attitude, and Practice among the Public in the Licheng District of Jinan City, China.

Jing Li, Xin Xu, Guoyong Ding, Yun Zhao, Ruixia Zhao, Fuzhong Xue, Jing Li, Jinghong Gao, Jun Yang, Baofa Jiang and 1 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jing LiDepartment of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China. lijingsddx@126.com.
Xin XuDepartment of Dentistry, Affiliated Hospital, Weifang Medical University, Weifang 261000, Shandong, China. sl_1@163.com.
Guoyong DingSchool of Public Health, Taishan Medical College, Taian 271000, Shandong, China. dgy-153@163.com.
Yun ZhaoLicheng District Center for Disease Control and Prevention, Jinan 250012, Shandong, China. zhaoyunepi@163.com.
Ruixia ZhaoLicheng District Center for Disease Control and Prevention, Jinan 250012, Shandong, China. zh.rx@163.com.
Fuzhong XueDepartment of Biostatistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China. xuefzh@sdu.edu.cn.
Jing LiState Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China. lijing986169323@sina.cn.
Jinghong GaoState Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China. gaojinghong2007@126.com.
Jun YangState Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China. smart_yjun@163.com.
Baofa JiangDepartment of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China. bjiang@sdu.edu.cn.
Qiyong LiuState Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China. liuqiyong@icdc.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge, attitude, and practice (KAP) are three key components for reducing the adverse health impacts of heat waves. However, research in eastern China regarding this is scarce. The present study aimed to evaluate the heat wave-related KAP of a population in Licheng in northeast China. This cross-sectional study included 2241 participants. Data regarding demographic characteristics, KAP, and heat illnesses were collected using a structured questionnaire. Univariate analysis and unconditional logistic regression models were used to analyze the data. Most residents had high KAP scores, with a mean score of 12.23 (standard deviation = 2.23) on a 17-point scale. Urban women and participants aged 35-44 years had relatively high total scores, and those with high education levels had the highest total score. There was an increased risk of heat-related illness among those with knowledge scores of 3-5 on an 8-point scale with mean score of 5.40 (standard deviation = 1.45). Having a positive attitude toward sunstroke prevention and engaging in more preventive practices to avoid heat exposure had a protective interaction effect on reducing the prevalence of heat-related illnesses. Although the KAP scores were relatively high, knowledge and practice were lacking to some extent. Therefore, governments should further develop risk-awareness strategies that increase awareness and knowledge regarding the adverse health impact of heat and help in planning response strategies to improve the ability of individuals to cope with heat waves.

Indexed as

Health Knowledge, Attitudes, PracticeHot TemperatureAdolescentAdultAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedYoung AdultattitudeChinacross-sectional studyheat wavesknowledgepractice

Identifiers

PMID27367715
PMCPMC4962189

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.