How to Measure the Safety Cognition Capability of Urban Residents? An Assessment Framework Based on Cognitive Progression Theory

Xiong, Yachao; Zhang, Changli; Qi, Hui; Zhang, Rui; Zhang, Yanbo

doi:10.3389/fpsyg.2022.707172

Cited by 7 publications

(2 citation statements)

References 57 publications

(49 reference statements)

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“…The gender variable was not correlated with the risk perception score, but a regression effect relationship existed. According to the usual standard and existing research practices, we believe that the gender variable was not correlated with risk perception scores ( Li and Chen, 2010 ; Sheng et al, 2022 ; Xiong et al, 2022 ). Therefore, we can get the following results in the CMI group: risk perceptions were higher for older age ( p < 0.01); risk perceptions were higher for higher education ( p < 0.01); risk perceptions were higher for those who had received the COVID-19 vaccination ( p < 0.05); and risk perceptions were higher for those who lived in a family with children ( p < 0.01).…”

Section: Resultsmentioning

confidence: 99%

Risk perception of COVID-19 and its related factors among centralized medical isolation groups in China

Zhang

Wang²

2023

Front. Psychol.

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ObjectiveMedical isolation is one of the most effective measures to slow the spread of the virus when dealing with a pandemic. Millions of people in China have undergone centralized medical isolation (CMI) during the COVID-19 pandemic. This study aims to assess the centralized medical isolation group’s COVID-19 risk perception and to explore the influencing factors.MethodsA total of 400 participants (200 who had experienced CMI and 200 who had not experienced) completed a questionnaire related to COVID-19 risk perceptions. The questionnaire was designed with the Cognitive-Experiential Self-Theory (CEST) and the Common Sense Model of Risk Perception (CSM). It adopted nine questions to measure risk perception in terms of Emotional feelings, Cognitive judgment, and Mental representation of unusual severity. Descriptive statistical analysis, correlation analysis, and multiple linear regression analysis were conducted with SPSS 26.0 software.ResultsThe mean risk perception score for the CMI group was 30.75, with a standard deviation of 7.503, which was significantly higher than that in the non-centralized medical isolation (NCMI) group (risk perception score was 28.2, and the standard deviation was 7.129). The results show that risk perceptions were higher for older age, risk perceptions were higher for higher education, risk perceptions were higher for those who had received the COVID-19 vaccination, and risk perceptions were higher for those who lived in a family with children.ConclusionRisk perception is significantly higher in CMI groups than in NCMI groups. The government should draw more care to the risk perception and psychological wellbeing of the CMI group and provide extra support and assistance to the elderly and those raising younger children. In dealing with future pandemics like the COVID-19 outbreak, the government should actively guide the public to properly isolate at home and cautiously implement a CMI policy.

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Section: Resultsmentioning

confidence: 99%

Risk perception of COVID-19 and its related factors among centralized medical isolation groups in China

Zhang

Wang²

2023

Front. Psychol.

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“…In general, the number of fatalities and injuries has shown a fluctuating decrease trend in the last two decades. Before the 20th century, the number of injuries in fires in the same year was much higher than the number of fatalities, which shows that the high number of injuries was caused by the lack of firefighting knowledge and skills of the public and a large number of disorderly behaviors in response to fires (Xiong et al, 2022). Different groups popularize firefighting knowledge and abilities.…”

Section: Analysis Of Fire Trend Based On Four Indicatorsmentioning

confidence: 99%

Characteristics and Situation of Fire in China From 1999 to 2019: A Statistical Investigation

Xiong

Zhang

Qi³

et al. 2022

Front. Environ. Sci.

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Fire is one of the disasters that frequently threaten public safety and social development, especially in developing countries such as China. The occurrence and spread of fire have distinctive characteristics. The analysis of fire causes and the summary of the unique patterns of fire with socioeconomic development and time can provide guidance and services for fire prevention. Therefore, based on the official data of China from 1999 to 2019, the current situation of fires in China is described in terms of four indicators, including the number of fires, the number of deaths, the number of injuries, and direct losses. In addition, the current situation, temporal volatility, and causes of the more severe fires in China were analyzed. The entropy weight-TOPSIS model was used to assess the fire patterns in China in the last two decades. The spatial correlation of fires in each province of China was analyzed by the Moran’s I index and LISA index. The results show that the overall fire situation in China has improved in the last two decades. Still, the spatial aggregation of fires is becoming more and more apparent, and human factors are the leading cause of fires in China. The study can provide a theoretical and decision-making basis for fire situation prognosis, fire prevention, and effective spatial allocation of fire prevention resources in China and other countries.

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Measuring and identifying pre-service fatigue due to hypoxic exposure

Wang,

Gu,

Miao

et al. 2024

Automation in Construction

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How to Measure the Safety Cognition Capability of Urban Residents? An Assessment Framework Based on Cognitive Progression Theory

Cited by 7 publications

References 57 publications

Risk perception of COVID-19 and its related factors among centralized medical isolation groups in China

Risk perception of COVID-19 and its related factors among centralized medical isolation groups in China

Characteristics and Situation of Fire in China From 1999 to 2019: A Statistical Investigation

Measuring and identifying pre-service fatigue due to hypoxic exposure

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