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 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 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 Aplikasi Program Pencegahan DBD terhadap Perilaku Masyarakat dalam Pengawasan dan Pemberantasan Jentik Nyamuk Demam Berdarah Dengue dengan Menerapkan Teori Health Belief Model

2021 ◽  
Vol 7 (1) ◽  
pp. 191-196
Author(s):  
Yuyud Wahyudi ◽  
Lilis Sulistiya Ningrum
Keyword(s):  
Health Belief Model ◽  
Prevention Program ◽  
Health Belief ◽  
Mean Value ◽  
High Morbidity ◽  
Perceived Benefits ◽  
Perceived Susceptibility ◽  
Perceived Severity ◽  
Belief Model ◽  
The Health Belief Model

Dengue Fever is a disease caused by the dengue virus with acute fever symptoms by entering the human bloodstream through the bite of a mosquito from the genus Aedes. Dengue Hemorrhagic Fever (DHF) has spread widely to all provinces in Indonesia. This disease often appears as an Extraordinary Event (KLB) with relatively high morbidity and mortality. Many dengue incidence rates make the application of the DHF prevention program by applying the theory of the Health Belief Model (HBM) as a prevention effort that can change the behavior of healthy and clean living. This HBM consists of four components: perceived susceptibility, perceived severity, perceived benefits, perceived barriers, and cues to action. Based on the results of the study, it was conducted from 16 November - 12 December 2020. This research used a Quasi-experimental research design with the One Group Pre Post-test design approach with a sample of Ngrancah Hamlet RT 25 RW 8 Senggreng Village residents using a total sampling technique. The analysis technique of this research is using univariate analysis. The results of this study indicate that the health belief model theory indicators in the DHF prevention program are close to a maximum value, namely Perceived Susceptibility with a mean value of 17.30, perceived severity with a mean value of 15.80, perceived benefits of 15.80, perceived barrier 16.70, and cues. To act with a mean value of 17.30. This study concludes that these results are expected to increase awareness for healthy and clean behavior in preventing DHF.

scholarly journals Citizens’ health practices during the COVID -19 pandemic in Indonesia: Applying the health belief model

2021 ◽  
Author(s):  
Eko Winarti ◽  
Chatarina Umbul Wahyuni ◽  
Yohanes Andy Rias ◽  
Yudied Agung Mirasa ◽  
Sondang Sidabutar ◽  
...  
Keyword(s):  
Health Belief Model ◽  
Self Efficacy ◽  
Good Practice ◽  
Health Belief ◽  
Health Practices ◽  
Health Practice ◽  
Perceived Susceptibility ◽  
Social Distancing ◽  
Belief Model ◽  
The Health Belief Model

Background: Understanding the health practice of Indonesian residents and its related factors during the COVID-19 pandemic is crucial, but such association necessitates clarity. Objective: To examine the health practices of the Indonesian citizens and their correlations with knowledge and health belief model (perceived susceptibility, barriers, benefits, severity, and self-efficacy) during the COVID-19 pandemic. Methods: A community-based online cross-sectional design was employed. The study was conducted from 10 July to 30 August 2020 among 552 citizens selected using convenience sampling. Sociodemographic characteristics, knowledge, health belief model, and health practices, including wearing a mask, social distancing, and washing hands, were measured using validated questionnaires. Adjusted odds ratios (AORs) and logistic regression were employed for data analysis.Results: The adjusted AORs (95% CIs) of a good level of health practices—wearing the mask, social distancing, and washing hands—were 3.24 (1.52~6.89), 2.54 (1.47~4.39), and 2.11 (1.19~3.75), respectively, in citizens with the high level of knowledge. Interestingly, respondents with positively perceived susceptibility exhibited significantly good practice in wearing the mask (4.91; 2.34~10.31), social distancing (1.95; 1.08~3.52), and washing hands (3.99; 2.26~7.05) compared to those with negatively perceived susceptibility. In addition, perceived barriers, benefits, severity, and self-efficacy also exhibited a significantly good all variables of health practice regarding COVID-19 pandemic after adjusting for confounding variables.Conclusion: Citizens with high levels of knowledge and positive levels of the health belief model had good practice of wearing masks, social distancing, and washing hands. The outcomes of this survey could encourage health professionals, including nurses, through management practices of nursing intervention based on the health belief model during the pandemic.Funding: This study was funded by the University of Kadiri, Kediri, Indonesia (106/P.1/LP3M/XII/2020).

scholarly journals Work-Related Stress and the Relationship with the Health Belief Model among Medical Doctors in a Tertiary Hospital in Port-Harcourt, Nigeria

2021 ◽  
pp. 10-21
Author(s):  
Chioma Okechukwu ◽  
Oluseye Babatunde B.
Keyword(s):  
Health Belief Model ◽  
Health Belief ◽  
Medical Doctors ◽  
Work Related Stress ◽  
Perceived Susceptibility ◽  
Work Related ◽  
Port Harcourt ◽  
Related Stress ◽  
Belief Model ◽  
The Health Belief Model

Background: Work-Related Stress (WRS) is a harmful physical and/or emotional response resulting from a mismatch between the requirements of a job and the capabilities, resources, or needs of the worker in the work environment. The health belief model (HBM) is a psychological health behaviour change model established to describe and predict health-related behaviours regarding the uptake of health services. This study sought to determine the prevalence of WRS and to assess WRS among medical doctors in the University of Port Harcourt Teaching Hospital (UPTH), Rivers State, using the Health Belief Model (HBM). Methods: The study design was descriptive cross-sectional conducted among medical doctors in the UPTH. A proportionate stratified and random sampling method was used to recruit 363 medical doctors in two stages. Data was collected using a self-administered questionnaire which assessed respondents’ socio-demographics, Work-related Stress and Health Belief Model domains. Data was analysed using SPSS version 23.0. The Pearson’s correlation coefficient was used to assess relationship between WRS and the HBM components, while the multiple linear regression analysis was used to identify the HBM components that significantly predicted work-related stress. The level of significance was set at p= 0.05. Results: Most of the respondents were females (56.5%), married (90.1%), Christians (93.7%) and ≥36 years (71.6%). The mean age of respondents was 39.7±0.45 years. The prevalence of work-related stress was 66%, (Overall mean score ± SD=3.30±0.27). All components of the HBM were significantly correlated with Work-related Stress, and perceived severity showed the strongest positive correlation (r=0.687; p<0.001). All components of the HBM significantly predicted work-related stress except perceived susceptibility. Conclusion: All the components of the health belief model significantly predict Work-related Stress except perceived susceptibility. Measures to address stress among doctors in the workplace should put into consideration these domains of the health belief model.

scholarly journals Determinants of COVID-19 Prevention Behavior in the Elderly in Urmia: Application of Health Belief Model

2020 ◽  
Vol 8 (T1) ◽  
pp. 646-650
Author(s):  
Morad Ali Zareipour ◽  
Mojtaba Fattahi Ardakani ◽  
Monireh Rezaee Moradali ◽  
Mohammad Saeed Jadgal ◽  
Ehsan Movahed
Keyword(s):  
Linear Regression ◽  
Health Belief Model ◽  
Random Sampling ◽  
Health Belief ◽  
Simple Random Sampling ◽  
The Elderly ◽  
Perceived Susceptibility ◽  
Prevention Behavior ◽  
Belief Model ◽  
The Health Belief Model

BACKGROUND: COVID-19 disease effects on all age group and sex, especially the elderly, due to the high mortality rate, it is very impressive and the protective measures can reduce mortality in the elderly. AIM: The present study was conducted to find the determinants of COVID-19 prevention behavior in the elderly in Urmia by emphasizing on the health belief model. METHODS: The present study was a cross-sectional study on 1400 elderly people in Urmia, Iran in 2020 and the sample selection was by simple random sampling by simple random sampling. The data collection tool was a researcher-made questionnaire in this study that included demographic characteristics, health belief model questionnaire, and COVID-19 prevention behaviors. Data were analyzed using ANOVA and linear regression tests using SPSS 23 software. RESULTS: The results showed that the COVID-19 prevention behavior score has been increased by increasing age rate and this behavior was higher in older women than men (p = 0.02). Furthermore, linear regression test showed the most predictive constructs as knowledge (B = 0.38), perceived susceptibility (B = 0.29), perceived intensity (B = 0.25), and perceived self-efficacy (B = 0.21, respectively) and these structures were statistically significant (p < 0/05). CONCLUSION: Effective interventions based on the health belief model and emphasizing on promoting knowledge, perceived susceptibility, severity, and perceived self-efficacy can prevent the elderly from developing this disease and its complications.

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.

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