Adopt proper food-handling intention: An application of the health belief model

Wang, Mingliang; Huang, Lian; Pan, Chulin; Bai, Li

doi:10.1016/j.foodcont.2021.108169

Cited by 23 publications

(22 citation statements)

References 78 publications

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“…However, the majority of handlers were not using the PPE including gloves, water boots and mask but the use of Apron seems higher than the study conducted in Dharan where 51.2 percent used Personal Protective equipment, 13.8 percent used Personal Protective equipment in Nigeria [19,20]. The education level plays an important role in awareness and hygiene practice [14,21]. However, only less than half of the handlers had secondary education in our study which is comparatively low in regard to countries like Nigeria and Kenya [22,23].…”

Section: Discussionmentioning

confidence: 96%

“…The Health Belief Model (HBM) suggests that health behavior decisions are based on risk perception and behavioral evaluation. HBM can explain 60% of the variation in behavior intention of food handlers and self-efficacy is the most critical predictor of behavior while health consciousness indirectly affects the behavior intention [14]. The most applied theory in research involving food safety behavior has been the Theory of Planned Behavior (TPB), which illustrates that the behavior of the food handlers is directed by their intention to perform behavior and perceived behavioral control.…”

Section: Introductionmentioning

confidence: 99%

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Factors associated with meat hygiene-practices among meat-handlers in Metropolitan City of Kathmandu, Nepal

Bhandari

Singh²,

Bhatt

et al. 2022

PLOS Glob Public Health

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Meat hygiene refers to all conditions and measures necessary to ensure safety and suitability of meat at all stages of the food chain. Inadequate hygiene practices allow consumers to be exposed to pathogens causing public health problems. Inadequate facilities and hygiene practices in meat shops results in meat contamination. The study aimed to identify factors associated with meat hygiene practices among meat handlers in the Metropolitan City of Kathmandu, Nepal. A cross-sectional study was designed with a semi-structured questionnaire and observation checklist that collected information about hygiene practices from 320 consenting meat-handlers by interviewer-administered technique. Data was entered in EpiData and analyzed using IBM SPSS version 21. Descriptive statistics of frequency distribution were used to report meat hygiene-practices and other independent variables, with multivariate logistic regression to establish predictors of meat hygiene-practices at 5% level of significance. The study revealed that less than half (44.4%) of the meat handlers had satisfactory meat hygiene practices. The adjusted regression analysis showed, strong evidence (p<0.01) of association of higher education level (AOR = 2.8, 95% CI = 1.7–4.5), other occupational involvement (AOR = 2.2, 95% CI = 1.9–2.4), and being officially registered (AOR = 2.8, 95% CI = 1.2–6.8) with meat hygiene practices. However, there was fair evidence (p<0.05) of association between shorter duration of meat being processed to sale (AOR = 0.57, P = 0.042) and meat hygiene practices. In this study, the satisfactory meat hygiene practices of meat handlers was low. The educational level, registration status of shops, involvement in other jobs, and awareness on meat hygiene were identified as key factors associated with meat hygiene practices. Thus, these factors need to be considered while developing programs to improve meat hygiene practices among the meat handlers. Meat handlers should be provided with training and orientation program for improving the meat hygiene practices.

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Section: Discussionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Factors associated with meat hygiene-practices among meat-handlers in Metropolitan City of Kathmandu, Nepal

Bhandari

Singh²,

Bhatt

et al. 2022

PLOS Glob Public Health

View full text Add to dashboard Cite

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“…In addition, residents’ social capital, political efficacy and willingness to participate in governance are individual-level variables that will be affected by variables such as individual characteristics and experience. On the basis of existing literature and research, this study introduces sociodemographic variables including gender, age, income and education as the control variables [ 42 ]. From this background, a theoretical model that shows the factors that affect residents’ willingness to participate in food safety governance can be established ( Figure 1 ).…”

Section: Research Hypotheses and Analytical Frameworkmentioning

confidence: 99%

Social Capital, Political Efficacy and Chinese Residents’ Willingness to Participate in Food Safety Governance

Zhang

Qin

et al. 2022

IJERPH

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Residents play an important role as one of the main actors in food safety governance. To build a pattern of food safety risk co-governance, the positive and effective participation of residents is vital. This study first establishes a comprehensive analysis framework combining social capital theory and political efficacy theory. Data from a survey of 714 residents in Shandong Province, China, were analysed through structural equation modelling and fuzzy-set qualitative comparative analysis (fsQCA) to examine the causal relationship between residents’ willingness to participate and its driving factors. The results indicated that: (1) reciprocity norm, institutional trust and social engagement have significant positive effects on willingness to participate; (2) political efficacy has a partial mediating effect in the relationship between social capital and willingness to participate; (3) fsQCA findings have four solutions to achieving residents’ strong willingness to participate; reciprocity norm, institutional trust and political efficacy are the core elements that affected residents’ high willingness to participate, whereas social engagement and sociodemographic variables are the non-core variables. Therefore, we put forward suggestions for improving residents’ willingness to participate in food safety governance, including improving the appeal expression and feedback mechanism, cultivating residents’ social capital and paying attention to the superposition effect of social capital and political efficacy.

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“…Understanding and identifying possible barriers would effectively increase engagement in disease prevention initiatives ( Julinawati et al, 2013 ). If barriers are determined and resolved, investments in emerging technologies for health benefits can be reconsidered ( Wang et al, 2021 ). In some instances, perceived barriers in healthcare negatively affect healthcare actions that discourage investment in mHealth technologies.…”

Section: Research Model and Hypotheses Developmentmentioning

confidence: 99%

A multi-method analytical approach to predicting young adults’ intention to invest in mHealth during the COVID-19 pandemic

Hasan

Bao

Chiong

2022

Telematics and Informatics

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Mobile-based health (mHealth) systems are proving to be a popular alternative to the traditional visits to healthcare providers. They can also be useful and effective in fighting the spread of infectious diseases, such as the COVID-19 pandemic. Even though young adults are the most prevalent mHealth user group, the relevant literature has overlooked their intention to invest in and use mHealth services. This study aims to investigate the predictors that influence young adults’ intention to invest in mHealth (IINmH), particularly during the COVID-19 crisis, by designing a research methodology that incorporates both the health belief model (HBM) and the expectation-confirmation model (ECM). As an expansion of the integrated HBM-ECM model, this study proposes two additional predictors: mobile Internet speed and mobile Internet cost. A multi-method analytical approach, including partial least squares structural equation modelling (PLS-SEM), fuzzy-set qualitative comparative analysis (fsQCA), and machine learning (ML), was utilised together with a sample dataset of 558 respondents. The dataset—about young adults in Bangladesh with an experience of using mHealth—was obtained through a structured questionnaire to examine the complex causal relationships of the integrated model. The findings from PLS-SEM indicate that value-for-money, mobile Internet cost, health motivation, and confirmation of services all have a substantial impact on young adults’ IINmH during the COVID-19 pandemic. At the same time, the fsQCA results indicate that a combination of predictors, instead of any individual predictor, had a significant impact on predicting IINmH. Among ML methods, the XGBoost classifier outperformed other classifiers in predicting the IINmH, which was then used to perform sensitivity analysis to determine the relevance of features. We expect this multi-method analytical approach to make a significant contribution to the mHealth domain as well as the broad information systems literature.

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Adopt proper food-handling intention: An application of the health belief model

Cited by 23 publications

References 78 publications

Factors associated with meat hygiene-practices among meat-handlers in Metropolitan City of Kathmandu, Nepal

Factors associated with meat hygiene-practices among meat-handlers in Metropolitan City of Kathmandu, Nepal

Social Capital, Political Efficacy and Chinese Residents’ Willingness to Participate in Food Safety Governance

A multi-method analytical approach to predicting young adults’ intention to invest in mHealth during the COVID-19 pandemic

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