scholarly journals A Model-Based Meta-Analysis of Willingness to Participate in Cancer Screening

2021 ◽  
Vol 18 (5) ◽  
pp. 2580
Author(s):  
Guangchao Charles Feng ◽  
Zhiliang Lin ◽  
Wanhua Ou ◽  
Xianglin Su ◽  
Qing Yan
Keyword(s):  
Structural Equation ◽  
Meta Analysis ◽  
Health Belief ◽  
Screening Tests ◽  
Equation Modeling ◽  
Willingness To Participate ◽  
Early Screening ◽  
The Public ◽  
Screening Programs ◽  
Belief Model

Although early screening tests are beneficial for the detection and treatment of cancers, many people have failed to participate in screening tests. The present study aims to explore the theoretical underpinning of low participation in screening programs using the method of meta-analytic structural equation modeling. It was found that the health belief model is the most adopted theoretical framework. Moreover, the intended uptake of screening was positively predicted only by cues to action, health literacy, and perceived susceptibility. As a result, a health intention model, including the three significant variables, is proposed. The practical implications of the findings are that health communication campaigns should focus on enlightening and engaging the public through all necessary means to raise awareness and transfer knowledge in relation to screening procedures as well as cancers per se.

scholarly journals Social Distancing, Health Concerns, and Digitally Empowered Consumption Behavior Under COVID-19: A Study on Livestream Shopping Technology

2021 ◽  
Vol 9 ◽  
Author(s):  
Qiwei Pang ◽  
Haiyang Meng ◽  
Mingjie Fang ◽  
Jingjing Xing ◽  
Jinge Yao
Keyword(s):  
Behavioral Intention ◽  
Structural Equation ◽  
Health Belief ◽  
Consumer Trust ◽  
Equation Modeling ◽  
Perceived Severity ◽  
Social Distancing ◽  
Belief Model ◽  
The Impact ◽  
The Health Belief Model

During the COVID-19 pandemic, livestream shopping has provided consumers with a way to maintain social distancing while offering an alternative to offline shopping. This study aims to understand the impact of COVID-19 and other public health crises on the behavioral intentions of consumers using livestream shopping technology. A theoretical model was designed that combines the health belief model, trust theory, and the theory of planned behavior. Empirical data were collected from 358 residents in China and then analyzed using structural equation modeling. The results showed that perceived susceptibility, perceived severity, perceived benefits, and perceived obstacles had a significant impact on consumer trust. Consumer trust in turn had a direct impact on behavioral intention and an indirect impact on behavioral intention via attitude. These research results have practical implications for livestream shopping merchants, platform decision-makers, and service designers.

scholarly journals Adoption of a Contact Tracing App for Containing COVID-19: A Health Belief Model Approach (Preprint)

2020 ◽  
Author(s):  
Michel Walrave ◽  
Cato Waeterloos ◽  
Koen Ponnet
Keyword(s):  
Health Belief Model ◽  
Digital Media ◽  
Self Efficacy ◽  
Structural Equation ◽  
Health Belief ◽  
Health Condition ◽  
Contact Tracing ◽  
Equation Modeling ◽  
Perceived Benefits ◽  
Belief Model

BACKGROUND To track and reduce the spread of COVID-19, apps have been developed to identify contact with individuals infected with SARS-CoV-2 and warn those who are at risk of having contracted the virus. However, the effectiveness of these apps depends highly on their uptake by the general population. OBJECTIVE The present study investigated factors influencing app use intention, based on the health belief model. In addition, associations with respondents’ level of news consumption and their health condition were investigated. METHODS A survey was administered in Flanders, Belgium, to 1500 respondents, aged 18 to 64 years. Structural equation modeling was used to investigate relationships across the model’s constructs. RESULTS In total, 48.70% (n=730) of respondents indicated that they intend to use a COVID-19 tracing app. The most important predictor was the perceived benefits of the app, followed by self-efficacy and perceived barriers. Perceived severity and perceived susceptibility were not related to app uptake intention. Moreover, cues to action (ie, individuals’ exposure to [digital] media content) were positively associated with app use intention. As the respondents’ age increased, their perceived benefits and self-efficacy for app usage decreased. CONCLUSIONS Initiatives to stimulate the uptake of contact tracing apps should enhance perceived benefits and self-efficacy. A perceived barrier for some potential users is privacy concerns. Therefore, when developing and launching an app, clarification on how individuals’ privacy will be protected is needed. To sustain perceived benefits in the long run, supplementary options could be integrated to inform and assist users.

scholarly journals Exploring the Effects of Product Knowledge, Trust, and Distrust in the Health Belief Model to Predict Attitude Toward Dietary Supplements

SAGE Open ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 215824402110688
Author(s):  
Shian-Yang Tzeng ◽  
Tzu-Ya Ho
Keyword(s):  
Health Belief Model ◽  
Structural Equation ◽  
Health Knowledge ◽  
Health Belief ◽  
Equation Modeling ◽  
Product Knowledge ◽  
Perceived Susceptibility ◽  
Moderation Model ◽  
Belief Model ◽  
The Health Belief Model

Although the health belief model (HBM) has been widely applied in health behavior research, it cannot fully account for dietary supplement (DS) consumption. This study proposed a second-stage moderation model to empirically examine the mediating role of product knowledge and the moderating effects of trust and distrust in the HBM. Surveys were conducted both online and offline in first-tier Chinese cities; 768 effective samples were collected. Structural equation modeling was employed to test the hypotheses. The findings indicated that perceived susceptibility was a better predictor of attitude toward DS products. Second, perceived susceptibility’s effect on product attitude occurred through product knowledge. Third, trust in manufacturers positively affected product knowledge’s effect on product attitude. Based on these findings, to promote DS consumption, marketers can leverage consumers’ perceived susceptibility to illness, associate the benefits and efficacy of DSs with consumers’ health knowledge, and emphasize their production of high-quality DSs.

scholarly journals Adoption of a Contact Tracing App for Containing COVID-19: A Health Belief Model Approach

10.2196/20572 ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. e20572 ◽  
Author(s):  
Michel Walrave ◽  
Cato Waeterloos ◽  
Koen Ponnet
Keyword(s):  
Health Belief Model ◽  
Digital Media ◽  
Self Efficacy ◽  
Structural Equation ◽  
Health Belief ◽  
Health Condition ◽  
Contact Tracing ◽  
Equation Modeling ◽  
Perceived Benefits ◽  
Belief Model

Background To track and reduce the spread of COVID-19, apps have been developed to identify contact with individuals infected with SARS-CoV-2 and warn those who are at risk of having contracted the virus. However, the effectiveness of these apps depends highly on their uptake by the general population. Objective The present study investigated factors influencing app use intention, based on the health belief model. In addition, associations with respondents’ level of news consumption and their health condition were investigated. Methods A survey was administered in Flanders, Belgium, to 1500 respondents, aged 18 to 64 years. Structural equation modeling was used to investigate relationships across the model’s constructs. Results In total, 48.70% (n=730) of respondents indicated that they intend to use a COVID-19 tracing app. The most important predictor was the perceived benefits of the app, followed by self-efficacy and perceived barriers. Perceived severity and perceived susceptibility were not related to app uptake intention. Moreover, cues to action (ie, individuals’ exposure to [digital] media content) were positively associated with app use intention. As the respondents’ age increased, their perceived benefits and self-efficacy for app usage decreased. Conclusions Initiatives to stimulate the uptake of contact tracing apps should enhance perceived benefits and self-efficacy. A perceived barrier for some potential users is privacy concerns. Therefore, when developing and launching an app, clarification on how individuals’ privacy will be protected is needed. To sustain perceived benefits in the long run, supplementary options could be integrated to inform and assist users.

scholarly journals The Determinants of Panic Buying during COVID-19

2021 ◽  
Vol 18 (6) ◽  
pp. 3247
Author(s):  
Grace Chua ◽  
Kum Fai Yuen ◽  
Xueqin Wang ◽  
Yiik Diew Wong
Keyword(s):  
Health Belief Model ◽  
Structural Equation ◽  
Online Survey ◽  
Health Belief ◽  
Outcome Expectation ◽  
Equation Modeling ◽  
Theoretical Understanding ◽  
Health Crisis ◽  
Belief Model ◽  
The Health Belief Model

The COVID-19 pandemic has seen an unmatched level of panic buying globally, a type of herd behavior whereby consumers buy an uncommonly huge amount of products because of a perception of scarcity. Drawing on the health belief model, perceived scarcity, and anticipated regret theories, this paper formulated a theoretical model that linked the determinants of panic buying and analyzed their interrelationships. Subsequently, data were collated from 508 consumers through an online survey questionnaire in Singapore that was conducted during the early stage of the pandemic, before the onset of the circuit breaker in April 2020. Next, an analysis of the results was done through structural equation modeling. It showed that the effect of the health belief model dimensions (i.e., perceived susceptibility, perceived severity, outcome expectation, cues to action, and self-efficacy) on panic buying is partially mediated by the consumers’ perceived scarcity of products. Furthermore, the effect of perceived scarcity on panic buying is partially mediated by consumers’ anticipation of regret. This paper expands on the current theoretical understanding of panic buying behavior, giving insights into the possible measures and solutions that policymakers and relevant stakeholders can uptake to manage panic buying in future a pandemic or health crisis.

scholarly journals Using the Health Belief Model to Understand Age Differences in Perceptions and Responses to the COVID-19 Pandemic

2021 ◽  
Vol 12 ◽  
Author(s):  
Lauren E. Bechard ◽  
Maximilian Bergelt ◽  
Bobby Neudorf ◽  
Tamara C. DeSouza ◽  
Laura E. Middleton
Keyword(s):  
Older Adults ◽  
Health Behaviors ◽  
Structural Equation ◽  
Age Groups ◽  
Health Belief ◽  
Equation Modeling ◽  
Age Group ◽  
Middle Aged ◽  
Belief Model ◽  
The Health Belief Model

COVID-19 severity and mortality risk are greater for older adults whereas economic impact is deeper for younger adults. Using the Health Belief Model (HBM) as a framework, this study used a web-based survey to examine how perceived COVID-19 susceptibility and severity and perceived efficacy of recommended health behaviors varied by age group and were related to the adoption of health behaviors. Proportional odds logistic regression was used to examine the relationship between age group and perceived COVID-19 susceptibility, severity, impact, and health behavior efficacy and adoption. Structural equation modeling based on HBM constructs examined the relationships between health beliefs and behaviors. Data from 820 participants (Ontario, Canada) were analyzed (age: 42.7, 16.2 years; 79% women). Middle-aged and older adults reported greater concerns about the personal risk of hospitalization and mortality, economic impact, and social impact of COVID-19 than young adults. Middle-aged adults also reported greatest concern for other age groups. Adoption and perceived efficacy of health behaviors was similar across age groups with few exceptions. Both middle-aged and older-adults were more likely to perceive their own and each other's age groups as responding adequately to COVID-19 compared to young adults. Structural equation modeling indicated perceived benefits of health behaviors were the primary driver of behavior uptake, with socioeconomic factors and perceived severity and susceptibility indirectly associated with uptake through their influence on perceived benefits. Overall, these results suggest adoption of health behaviors is very high with few differences between age groups, despite differences in perceived impact of COVID-19. Public health communications should focus on the benefits of health behaviors to drive adoption.

scholarly journals A Comparison of Motorcycle Helmet Wearing Intention and Behavior between Urban and Rural Areas

2020 ◽  
Vol 12 (20) ◽  
pp. 8395
Author(s):  
Sajjakaj Jomnonkwao ◽  
Duangdao Watthanaklang ◽  
Onanong Sangphong ◽  
Thanapong Champahom ◽  
Napat Laddawan ◽  
...  
Keyword(s):  
Rural Areas ◽  
Structural Equation ◽  
Health Belief ◽  
Factor Loading ◽  
Equation Modeling ◽  
Chi Square ◽  
Severe Injuries ◽  
Helmet Use ◽  
Motorcycle Helmet ◽  
Belief Model

The motorcycle is one of the important modes of transport for Thai people in all provinces due to its convenience and ability to access all areas and cover short distances, which is especially convenient for rural people. However, according to the accident record, it was found that the motorcycle was the vehicle causing the highest amount of accidents, and helmet wearing could save lives and reduce the level of severe injuries. In this regard, the objective of this study was to study and develop a model of factors that affected helmet use behavior using structural equation modeling (SEM) based on the Health Belief Model (HBM). Further, this study compared urban and rural models, so as to suggest suitable guidelines for the promotion of helmet use in the study areas. The sample comprised 801 motorcycle users divided into 401 urban residents and 400 rural residents. From the parameter invariance testing in the two areas, a chi-square difference test found differences in the factor loading, intercepts, and structural paths between urban and rural societies.

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