Abstract:Many theories of risk perception and health behavior examine cognitive dimensions of risk (i.e., perceived susceptibility or severity) but not emotional dimensions. To address this gap, the authors examined the emotional component of risk perception (as worry) and its relation to cognitive assessments of risk, self-efficacy and response efficacy, and health protective action. Although people in poverty are at high risk for many health conditions, little is known about how concerned they are about these conditi… Show more
“…To measure the self-efficacy, the attitude, and the preventative behavior of amateur marathon runners on preventative behavior, the scale developed by Freimuth 46 and revised by Huang 28 was adopted. Self-efficacy was measured with the item, “Before running a marathon, how confident are you that you can take precautions to reduce [insert risk]?…”
Introduction: Prevention of the health risk of amateur marathon runners is of great significance for the sustainable development of marathon. To reduce the psychological burden of amateur marathon runners and improve the participation experience, the current study used the health belief model to study the relationship among health beliefs, attitude to preventative behavior, self-efficacy, and health values of amateur marathon runners. Methods: A total of 342 data were collected, and using the PROCESS (analytical procedures developed for mediating and moderating effects tests based on SPSS and SAS). A series of multiple linear regression models were established to study the relationship between variables, and the bootstrap confidence interval was selected to test the mediating and moderating effect. Results: The results showed that perceived health threat (b = 0.463, p <0.05), health behavior expectations (b = 0.373, p <0.001), self-efficacy (b = 0.322, p <0.001), and behavioral attitudes (b = 0.230, p <0.001) can be regarded as antecedent variables for predicting preventative behaviors. In addition, the results also show that health behavior expectations, self-efficacy, and behavioral attitudes play chain-mediating role between perceived health threat and preventative behaviors. Health values appear to play a moderating role in the direct/indirect effects of perceived health threat on preventive behavior through a number of mediating variables. Discussion: This study emphasizes that the amateur marathon runners must improve their health concept and take effective preventive measures before participating in the competition. According to this research, it is the responsibility of the event parties, public health officials and relevant departments of the host city to provide rich health information and risk education to amateur marathon runners. More public service advertisements or educational materials are needed to be placed on runners to enhance their awareness of the necessity and importance of taking preventive measures.
“…To measure the self-efficacy, the attitude, and the preventative behavior of amateur marathon runners on preventative behavior, the scale developed by Freimuth 46 and revised by Huang 28 was adopted. Self-efficacy was measured with the item, “Before running a marathon, how confident are you that you can take precautions to reduce [insert risk]?…”
Introduction: Prevention of the health risk of amateur marathon runners is of great significance for the sustainable development of marathon. To reduce the psychological burden of amateur marathon runners and improve the participation experience, the current study used the health belief model to study the relationship among health beliefs, attitude to preventative behavior, self-efficacy, and health values of amateur marathon runners. Methods: A total of 342 data were collected, and using the PROCESS (analytical procedures developed for mediating and moderating effects tests based on SPSS and SAS). A series of multiple linear regression models were established to study the relationship between variables, and the bootstrap confidence interval was selected to test the mediating and moderating effect. Results: The results showed that perceived health threat (b = 0.463, p <0.05), health behavior expectations (b = 0.373, p <0.001), self-efficacy (b = 0.322, p <0.001), and behavioral attitudes (b = 0.230, p <0.001) can be regarded as antecedent variables for predicting preventative behaviors. In addition, the results also show that health behavior expectations, self-efficacy, and behavioral attitudes play chain-mediating role between perceived health threat and preventative behaviors. Health values appear to play a moderating role in the direct/indirect effects of perceived health threat on preventive behavior through a number of mediating variables. Discussion: This study emphasizes that the amateur marathon runners must improve their health concept and take effective preventive measures before participating in the competition. According to this research, it is the responsibility of the event parties, public health officials and relevant departments of the host city to provide rich health information and risk education to amateur marathon runners. More public service advertisements or educational materials are needed to be placed on runners to enhance their awareness of the necessity and importance of taking preventive measures.
“…Susceptibility reflects one's perception of the likelihood of contracting a disease, whereas severity refers to one's perception of the seriousness or harmfulness of a disease (El-Toukhy, 2015;Rimal & Real, 2003). In particular, when people perceive health-related risks, they not only rely on the cognitive aspects of the likelihood and severity of a healthrelated disease, but also use affective aspects of the worry, concern, or dread that a person feels about a health-related disease (e.g., Freimuth & Hovick, 2012;Oh, Paek, & Hove, 2015).…”
a b s t r a c tAnalyzing nationally representative online panel survey data during the MERS outbreak in South Korea, this study examined the role of social media exposure in shaping public's risk perceptions of MERS. The present study also investigated the moderating role of heuristic-systematic processing and self-efficacy in the relationship between social media exposure and risk perceptions. The findings of this study showed that social media exposure was positively related to forming risk perceptions. Moreover, heuristic-systematic processing and self-efficacy were found to moderate the impact of social media on risk perceptions. The interaction effects suggested that the role of social media in increasing risk perceptions of MERS was heighted by heuristic-systematic processing and self-efficacy. The results and implications of this study are discussed in greater details.
“…Freimuth and Hovick found that worry did not increase health protective action for the high-worry and high-action risk and positively increased health protective action for the high-worry but low-action risk. 68 We found that anxiety, anger, and dissatisfaction showed a significantly positive effect on WTP. In addition, people who strongly feared the risk posed by PM 2.5 were more willing to pay, which did not agree with Yang's finding that people who strongly feared the risk of greenhouse gasses showed lower WTP.…”
Section: Determinants Of Respondent's Wtpmentioning
Particulate air pollution is a serious problem and has received extensive attention in Beijing. The public might amplify the health risks because of the visibility and frequency of haze, potentially leading to anxiety and panic. Public risk perception might affect individual behaviors and their willingness to pay for improving air quality. We used contingent valuation method and psychometric paradigm to investigate public risk perception and elicit willingness to pay for reductions in the health risk posed by fine particulate matter 2.5 smaller than 2.5 microns in width in Beijing, China. The logit model results showed that the level of fear and four characteristics of risk perception—familiarity, scope of impact, relevance to individual, and voluntariness—had significant effects on respondents’ payment decision. The ordinary least squares model results showed the level of anxiety, anger, and satisfaction about the current situation and four characteristics of risk perception—scope of impact, overall risk, duration of effects, and controllability—had significant effects on the amount of willingness to pay.
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