Health risk perception and effective communication regarding CCS. Commentary to ‘Effective risk communication and CCS: the road to success in Europe’, by Ragnar Lofstedt

Risk perceptions are a prerequisite for protective action. Both scientists and practitioners need to understand the multifaceted nature of health risk perception and risk communication. This article reviews insights from psychophysiological research, with a focus on neuroscientific approaches that examine the biological basis of risk perception in the brain and capture the brain response to health and risk messages. Specifically, we discuss the key role of intuitive processes for personal risk perception and the difference between absolute and comparative risk. We then describe the relationship between risk perception and health behavior change and present recent work that measures responses to health prevention messages. Finally, we discuss implications for translation to public health policy and point to needs for future research. A better understanding of the biological roots of personal risk perception and how these can be addressed via risk communication informs policymakers in designing effective public health interventions.

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Assessing the community risk perception toward COVID-19 outbreak in South Korea: evidence from Google and NAVER relative search volume

10.1101/2020.04.23.20077552 ◽

2020 ◽

Cited By ~ 2

Author(s):

Atina Husnayain ◽

Eunha Shim ◽

Anis Fuad ◽

Emily Chia-Yu Su

Keyword(s):

Risk Perception ◽

Health Risk ◽

South Korea ◽

Risk Communication ◽

Community Health ◽

Population Characteristics ◽

Online Information ◽

Search Volume ◽

Relative Search Volume ◽

Health Risk Perception

AbstractThis study aimed to explore the patterns of community health risk perception of coronavirus disease 2019 (COVID-19) in South Korea using Internet search data. Google and NAVER relative search volume data were collected using COVID-19-related terms in Korean language. Online queries were compared with the number of new COVID-19 cases and tests. Time series trends and Spearman’s rank correlation coefficients showed that the number of COVID-19-related queries in South Korea increased during the local and international events; higher in women, certain age groups; and higher in affected areas, which represented the community health risk perception. Greater correlations were found in mobile searches compared to that of desktop searches, indicating the changing behavior in searching health online information. The use of both Google and NAVER RSV to explore the patterns of community health risk perception could be beneficial for targeting risk communication in several perspectives including time, population characteristics, and location.Article Summary LineThe use of both Google and NAVER RSV to explore the patterns of community health risk perception toward COVID-19 in South Korea could be beneficial for targeting risk communication in several perspectives including time, population characteristics, and location.

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Multiple Health Risk Perception and Information Processing Among African Americans and Whites Living in Poverty

Risk Analysis ◽

10.1111/j.1539-6924.2011.01621.x ◽

2011 ◽

Vol 31 (11) ◽

pp. 1789-1799 ◽

Cited By ~ 27

Author(s):

Shelly Hovick ◽

Vicki S. Freimuth ◽

Ashani Johnson-Turbes ◽

Doryn D. Chervin

Keyword(s):

Information Processing ◽

Risk Perception ◽

African Americans ◽

Health Risk ◽

Multiple Health ◽

Health Risk Perception

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Modeling behavioral intention toward traveling in times of a health-related crisis

Journal Of Vacation Marketing ◽

10.1177/13567667211024703 ◽

2021 ◽

pp. 135676672110247

Author(s):

Diep Ngoc Su ◽

Kim Phuong Thi Tran ◽

Ly Ngoc Thi Nguyen ◽

Tram Huyen Thi Thai ◽

Thanh Hoai Thi Doan ◽

...

Keyword(s):

Risk Perception ◽

Health Risk ◽

Information Search ◽

Behavioral Intention ◽

Policy Makers ◽

Online Networks ◽

Behavior Intention ◽

Tpb Model ◽

Health Related ◽

Health Risk Perception

This study proposes an integrated model based on the Risk Perception Attitude (RPA) framework and the Theory of Planned Behavior (TPB) model to investigate behavioral intention toward traveling in times of a health-related crisis. A survey was conducted via online networks of travelers, yielding 338 valid cases. The findings indicate that health risk perception is affected by information search about the Covid-19 disease. The relationship between health risk perception and behavioral intention toward traveling during a health-related crisis is not direct, but indirect via health self-efficacy and attitude about their future trip. The study contributes to understand a cognitive process of tourists’ behavior intention toward traveling in a health-related crisis. Practically, this study’s findings provide tourists, government agencies, tourism marketers, and policy-makers and other tourism stakeholders with important suggestions for tourism recovery during and after the pandemic.

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Health-risk Perception in the Inner City Community of Centro Habana, Cuba

International Journal of Occupational and Environmental Health ◽

10.1179/oeh.2000.6.1.34 ◽

2000 ◽

Vol 6 (1) ◽

pp. 34-43 ◽

Cited By ~ 5

Author(s):

Niurys Fernández ◽

Robert B. Tate ◽

Mariano Bonet ◽

Mayilée Cañizares ◽

Pedro Mas ◽

...

Keyword(s):

Risk Perception ◽

Health Risk ◽

Inner City ◽

City Community ◽

Health Risk Perception

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Influence of Health Risk Perception on Purchase Intention of Bottled Beverages

10.2991/assehr.k.211020.213 ◽

2021 ◽

Author(s):

Yu Jin

Keyword(s):

Risk Perception ◽

Health Risk ◽

Purchase Intention ◽

Health Risk Perception

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An Exploratory Study of Police Officers’ Perceptions of Health Risk, Work Stress, and Psychological Distress During the COVID-19 Outbreak in China

Frontiers in Psychology ◽

10.3389/fpsyg.2021.632970 ◽

2021 ◽

Vol 12 ◽

Author(s):

Qiufeng Huang ◽

Ali Ahmad Bodla ◽

Chiyin Chen

Keyword(s):

Psychological Distress ◽

Chronic Disease ◽

Risk Perception ◽

Gender Difference ◽

Health Risk ◽

Work Stress ◽

Health Risks ◽

Police Officers ◽

Working Hours ◽

Health Risk Perception

BackgroundHow do the police officers perceive health risk, psychological distress, and work stress during the COVID-19 outbreak in China? This study explores the health risk perception, work stress, and psychological distress of police officers who worked at the front line to implement lockdown measures.Materials and MethodsWe conducted a large-scale field survey (N = 5,611) with police officers sample in the northwestern part of China from February 29 to March 7, 2020. Independent-sample T-test and ANOVA were used to analyze whether there are differences in health risk perception, work stress, and psychological distress between different groups. The regression analysis was employed to figure out the factors that influence police officers’ psychological distress.ResultsResults showed a gender difference in perceiving work stress among police officers. Also, police officers with chronic disease perceived higher health risks, more psychological distress, and higher work stress. Additionally, police officers above 45 years old significantly perceived higher health risks than young officers did. It also revealed that working hours contribute to police officers’ health risk perception, psychological distress, and work stress. Finally, our results highlight that age, working hours, chronic disease, health risk perception, and work stress significantly contribute to police officers’ psychological distress.ConclusionOur research verifies that there is a gender difference in perceiving work stress among police officers. Police officers with ongoing medical issues and above 45 years old suffer more during the COVID-19 outbreak in China. Our research suggests that the government should pay more attention to their physical health and mental health. The heavy workload containing the COVID-19 extends police officers’ working hours, causing higher health risks, work stress, and psychological distress. This study contributes to the psychological distress literature and provides a way forward to other countries struggling to contain the COVID-19.

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