Perceptions, behaviours and kitchen hygiene of people who have and have not suffered campylobacteriosis: A case control study

Cross-contamination in the kitchen: A model for quantitative microbiological risk assessment

A quantitative microbiological risk assessment model for the cross-contamination transmission route in the kitchen (KCC) is presented. Bacteria are transmitted from contaminated (chicken) meat to hands, kitchen utensils, and other surfaces, subsequently contaminating a salad. The model aims to estimate the fraction of bacteria on the meat that is ingested due to cross-contamination, determine the importance of the different transmission routes, and assess the effect of scenarios (interventions) on the fraction ingested. The cross-contamination routes defined, bacterial source-to-recipient transfer fractions as available and derived from literature, and important characteristics (e.g., washing in cold water vs. hot water with soap) shaped the KCC model. With this model, 32 scenarios of an eight-step preparation of a "meat and salad" meal in a domestic kitchen were stochastically simulated. The "cutting board-salad" route proved dominant and the salad plays a major role in the final exposure. A realistic scenario (washing hands, cutting board, and knife with cold water after cutting the meat) estimates that a mean fraction of 3.2E - 3 of the bacteria on the meat is ingested. In the case of "hand washing with hot water and soap" and "cutting board and knife replacement," the mean fraction ingested is 3.6E - 6. For a subsequent meal, where the contaminated sources were kitchen fomites, the estimated mean fraction is 4.3E - 4. In case of hamburger, part of the bacteria is unavailable for cross-contamination, resulting in a mean fraction ingested of about 5.4E - 5. The role of the dishcloth in cross-contamination transmission proved to be minor.

Antimicrobial-resistant bacteria in food: which behaviour change strategies increase consumers' risk awareness and preventive food-handling behaviour?

OBJECTIVES

We aimed to identify the potential of behaviour change strategies to effectively increase consumers' risk awareness, behavioural intention, and preventive food-handling behaviour to reduce the transmission risk of antimicrobial-resistant bacteria through food. The applied strategies targeted knowledge and determinants of the health action process approach (HAPA). We tested techniques that are expected to increase knowledge, risk perception, and positive outcome expectancy (Study 1) as well as those that increase planning and coping self-efficacy (Study 2) in two randomised control trials.

METHODS

In Study 1 (N = 328), a 2 × 2 between-subject design was employed to investigate the effects of an educational video about the spread of antimicrobial-resistant bacteria and a personalised risk message on knowledge, risk perception, outcome expectancy and consequently on intention regarding safe food-handling behaviour. In Study 2 (N = 129), we used a 2 × 2 design to examine to what extent goal setting (implemented vs. not implemented) and time (pre- vs. post-test) affected planning, coping self-efficacy, and preventive food-handling behaviour.

RESULTS

In Study 1, we found that the video increased knowledge and the perceived susceptibility of risk compared to the control video. We found no increase on the dependent variables after receiving the personalised risk message. In Study 2, goal setting significantly improved safe food-handling behaviour compared to the control condition. Moreover, participants in the goal-setting condition showed more planning of safe food-handling measures and of dealing with emerging barriers than participants in the control condition.

CONCLUSIONS

These findings demonstrate that the delivery of an educational video on the spread of antimicrobial-resistant bacteria is a useful strategy to increase risk awareness, whereas goal setting presents a promising approach to improve food-handling behaviour. Following the HAPA, an additional effective behaviour change technique is required that decreases negative outcome expectancies and improves coping self-efficacy, thereby further improving intention and behaviour.

M. Visschers V. Understanding the Underlying Psychosocial Determinants of Safe Food Handling among Consumers to Mitigate the Transmission Risk of Antimicrobial-Resistant Bacteria

In this study, we aimed to explore the psychosocial factors related to consumers’ safe food-handling behaviors to reduce the transmission risk of antimicrobial-resistant bacteria through food products. To this end, we investigated the extent to which the variables of the health action process approach (HAPA) and subjective norms can predict safe food handling by consumers. Data were collected from a representative sample of consumers belonging to the German-speaking part of Switzerland by administering a self-reporting questionnaire. The results showed that risk perception, self-efficacy, and positive outcome expectancy (i.e., the motivational phase of HAPA) were significant predictors of the intentions to handle food in a safe manner (see graphical abstract below). Additionally, in the volitional phase of HAPA, intention was found to be a significant predictor of safe food-handling behaviors. Contrary to expectations based on HAPA, action planning did not mediate the intention–behavior relationship. Only a small part of the variance in behavior was explained by coping planning and action control. The findings confirmed that the motivational phase of HAPA may be useful for determining safe food handling.

The role of Optimistic Bias in safe food handling behaviours in the food service sector

This study evaluates the influences on food handlers' intention to conduct safe handling behaviours in food service settings in Brazil and the United Kingdom, focusing on Optimistic bias (OB). Although OB has been identified in food handlers in other studies, this is the first study evaluating the role of OB in determining behavioural intention. Three hundred participants, from the United Kingdom (n = 150) and Brazil (n = 150), completed a Theory of Planned Behaviour - based questionnaire, including additional questions about OB. For Brazilian food handlers, Attitude had a significant influence on Behavioural Intention followed by Subjective Norm, while Perceived Behavioural Control and OB did not significantly influence Behavioural Intention. For the United Kingdom, Perceived Behavioural Control had the largest influence, followed by Attitude, and then OB. Results suggest that cultural differences may influence predictors of behavioural intention, and that OB can contribute to predicting engagement in safe handling behaviours. Results contribute to a better understanding of the influences on food safety related behaviours.

Prevalence of Pathogens and Indicator Organisms in Home Kitchens and Correlation with Unsafe Food Handling Practices and Conditions

Despite education efforts, consumers often practice unsafe food handling and storage behaviors. Little is known about how these unsafe practices contribute to contamination of the home kitchen with foodborne pathogens. In addition, only a limited number of studies have examined the role of the kitchen as a reservoir for pathogens. The purpose of this study was to characterize microbial contamination and foodborne pathogens found in home kitchens and determine whether contamination was significantly associated with unsafe or unsanitary conditions observed in the kitchen. Swab samples were collected from food contact and preparation surfaces in homes (n = 100) in Philadelphia, PA. The samples were tested for coliforms, fecal coliforms, Escherichia coli , Staphylococcus aureus , Salmonella, Campylobacter, and Listeria. Fecal coliforms were found in 44% of homes (most often in samples from kitchen sinks, sponges, and dishcloths), and E. coli was found in 15% of homes (mostly in samples from kitchen sinks). Nearly half (45%) of the homes tested positive for a foodborne pathogen, and 12% had multiple pathogens present in the kitchen. S. aureus was isolated from 39% of homes, most often from countertops and refrigerator door handles. Listeria spp., including L. monocytogenes and L. innocua , were present in 15% of homes, most often in samples from refrigerator meat drawers. C. jejuni was isolated from 3% of homes. Contamination with Listeria was significantly associated with higher refrigerator temperatures. The contamination of surfaces with fecal coliforms and S. aureus was significantly associated with a lack of cleaning materials: dish soap and paper or cloth towels in the kitchen, and any type of towel in the nearest bathroom. The contamination of a sponge or dishcloth with either fecal coliforms or S. aureus was predictive of other surfaces in the kitchen having the same contamination, indicating that sponges and dishcloths are both reservoirs and vectors for bacteria in the kitchen.