Keywords
knowledge, food, kitchen, cleanliness, storage
This article is included in the Sociology of Health gateway.
knowledge, food, kitchen, cleanliness, storage
Poor food storage and handling as well as poor kitchen hygiene contribute to a large number of foodborne diseases (FDs).1 Up to 87% of food poisoning incidents originate at home due to improper food handling.2,3 FDs are a threat to public health in this century due to the role of the household in the transmission and acquisition of foodborne diseases. The most frequent causes are diarrheal pathogens,4 on contaminated surfaces such as kitchen towels5 and chopping boards in the kitchen6 as they can harbour a large number of coliforms. The most affected are children under 60 months old.7 In the event of diarrhoea in the child, mothers offer less food and the nutrients needed for growth decrease, and can result in malnutrition and make them more prone to illnesses,8 infections, and inadequate development.9
In many countries, hygiene and infant feeding processes become a highly vulnerable point due to poor handling,10,11 affecting 13.2% of children aged six to 60 months. Research in the peri-urban area of Lima showed that 21.8% of the children who required hospitalization were referred for diarrhoea.12
Despite education efforts, consumers develop unsafe food storage and handling behaviours, contaminating sponges, kitchen towels, making them reservoirs and vectors of bacteria in the kitchen and contaminating other surfaces.13 Peru has a food sanitary regulation, according to the Dirección General de Salud Ambiental DIGESA,14 which regulates the products for sale and consumer defence code. The Health Ministry, Ministerio de Salud MINSA has published manuals on good food handling practices, aimed at restaurants, sale stores, but there are not any for mothers in the home.
Mothers play an important role in the prevention and control of FDs in regard to hygiene measures, including production, storage, food handling and hygienic practices.15 Dirty hands, stool remains, microbial load in water, flies, parasites, the presence of animals in the kitchen, poorly washed containers, and an unhygienic environment contaminate food.16 Studies in mothers in the rural jungle and highlands of Peru showed that only 20% of them washed their hands before touching food and only 6% of those who did used soap.17 In other countries, mothers have associated optimal cleaning of food products with preventing diseases, achieving a state of good health.18
There is information showing the economic and demographic aspects (e.g., rural living, poor access to water) related to mothers’ knowledge in regard to kitchen hygiene. In this study we proposed to establish whether the mothers’ sociodemographic characteristics were related to good knowledge about food management in the home or not, in a population of mothers in a peri-urban area of Lima. The results can be an opportunity to understand this group of mothers and their role in food management, since many of them are the main agent of the preparation of meals for their families.
We conducted a cross-sectional observational study. The study was carried out in a peri-urban area in Lima, Peru in the human settlements of San Pablo and Huáscar V (SJL).
The population of interest was mothers with children, attending two comedores populares and/or mothers' clubs. This was a non-probability convenience sample.
Mothers were approached at the comedores populares and mothers' clubs. However, in the case of Huascar V, mothers who were at a health post were interviewed as well, to complete the sample. Two experienced field workers (MOC and MRR) helped with the face-to-face interviews.
Permits were requested from the comedor populares and the health facility before surveying the mothers. The mothers were explained about the questionnaire and they were asked to sign the informed consent form. The interviewers mentioned that the mothers were suspicious when listing the appliances they had in their homes.
A total of 250 women or caregivers were interviewed, distributed in the areas described (San Pablo = 125 and Huascar V = 125). Inclusion criteria were mothers who had a child under 60 months old and prepared food for them at home, and who voluntarily agreed to participate in the study by signing the informed consent form. Exclusion criteria were mothers or caregivers who had a child with a cognitive impairment.
The questionnaire had three dimensions: the first assessed the kitchen hygiene process; the second dimension evaluated the storage of products; and the last dimension examined the food-disease relationship based on the ingestion of spoiled products. A principal components analysis was applied; Kuder- Richardson (KR-20) was applied due to the dichotomous nature of variables, to define the internal validity; finally, the Kaiser-Meyer-Olkin (KMO) test and Barlet's test of sphericity were applied to define the validity of the test. The test results showed the following: KMO = 0.549; Barlet’s 591.678; gl =136, (p < 0.05). The three components (kitchen hygiene, product storage and disease from ingestion of spoiled foods) explained 66.75% of the total variance of the test.19 In this study, we need the sum of the questions of each dimension to calculate the total score, according to Table 1. As for the answers, yes (affirmative answer) and no (negative answer) were tabulated.
The knowledge variable was measured as follows:
Good knowledge of food hygiene: If the participant had more than seven “YES” answers out of 10 questions, it was considered good knowledge of food hygiene in the home.
Not so good knowledge of food hygiene: If the participant had fewer than or seven “YES” answers out of 10 questions, it was considered not so good knowledge of food hygiene in the home.20
The sample was obtained for convenience.
The sample was obtained with the following sampling proportion formula for a finite population.
Where:
Z = confidence level = 1.96 α = 0.05
p = Probablility in favour = 50% of kitchen hygiene knowledge
q = Probability against = 50% kitchen hygiene knowledge
N = Universe
e = estimation error
n = sample size
We adopted a non-probabilistic sampling strategy to compare knowledge according to sociodemographic profile. The final sample for the study consisted of 250 mothers or caregivers who attended the comedores populares and mothers' clubs in the areas of San Pablo and Huáscar, where each area counted 125 participants.
Dependent variable (Y1): Knowledge of kitchen hygiene.
Independent variables (X1): Education level, occupation of the mother, marital status, caregiver (refers to the person who has a child, and takes care of it or can be just a caregiver), age of the mother, house building material, house floor material, drinking water, owning a gas stove, owning a refrigerator, a radio or television set, a microwave.
We visited the mothers' clubs and comedores populares in Huáscar V and San Pablo, in SJL, to ask permission from the people in charge of these organizations and to inform them about the activities that were going to be carried out. This included approaching the mothers during the morning shift, very close to lunchtime. Only in Huascar V, the sample was completed with mothers who were interviewed at the health facility where mothers take their children for health checks, doctor appointments and vaccinations. Two field workers assisted with the face-to-face interviews (MOC and MRC). Prior to starting the questionnaire (as described in Table 1), the informed consent process was conducted. Detailed information about the study was provided to each potential participant, who was given the opportunity to ask questions and clarify doubts. After that, if they agreed to participate, they proceeded to sign the informed consent form. The questionnaires were completed in almost two months between April and May, 2018. Mothers were interviewed at the comedores or, if necessary, at home.
The analysis was conducted using Stata/SE 15.0 software for Windows, at the Universidad Peruana Cayetano Heredia (UPCH). Categorical variables were described as frequencies. The influence of sociodemographic variables or independent variables (education level, occupation of the mother, marital status, caregiver, age of the mother, house building material, floor material, drinking water, gas stove, refrigerator, radio or television set, microwave) on the dependent variable (knowledge of kitchen hygiene) was assessed through logistic regression analysis. Odds ratios (ORs) with 95% confidence intervals were reported. A p-value lower than 0.05 was considered statistically significant.
This study was approved by the Institutional Ethics Committee (IEC) of Universidad Peruana Cayetano Heredia. An informed consent form was prepared and signed by all the mothers and/or caregivers. Before signing, they were given information about the study, the use of the answers and how the information obtained will be kept under codes and that the questionnaires were anonymous. Finally, they signed the consent form if they decided to participate.
A total of 250 caregivers were interviewed: 91.2% (114) of them were mothers in Huascar V and 95.2% (119) were from San Pablo. Fifty-four percent of the caregivers were between 21 and 30 years old. The highest education level achieved in Huascar V and San Pablo was secondary school (68.8% (86) and 72.0% (90), respectively). In Huascar V and San Pablo, the majority were in a free union (68.0%(85) and 70.4%(88), respectively), were housewifes (82.4%(104) and 78.4%(98), respectively), had brick and cement as house building material (68.0% (85) and 68.8%(86), respectively); they had a bare floor (70.4%(88) and 69, 6%(87), respectively), did not have drinking water (88.0%(110) and 88.8%(111), respectively), no gas stove (96.8%(121) and 96.0%(120), respectively), refrigerator (48.8%(61) and 51.2%(64), respectively), radio and TV set (79.2%(99) and 84.8%(106), respectively), and no microwave oven (82.4%(103) and 84.8%(106), respectively) respectively, see Table 2.
Table 3 shows the percentage of questionnaire answers about knowledge of kitchen hygiene in Huáscar and San Pablo, where the mothers or caregivers were surveyed.
The caregivers from Huáscar responded affirmatively to the questions related to knowledge about cleanliness and storage in the kitchen (5, 6, 7, and 8) in a higher proportion than the caregivers in San Pablo.
In Table 4, we can see that the bivariate regression analysis did not identify any predictive capacity of any evaluated sociodemographic characteristic on the level of knowledge of kitchen hygiene.
However, we can observe that in the age group older than 30, there was a higher proportion of caregivers with good knowledge of kitchen hygiene compared to the group aged 30 years or younger.
In addition, when the caregiver's role was filled by the grandmother or another person, most of them did not have a good level of knowledge of kitchen hygiene.
Furthermore, when the caregiver had reached a secondary level of education, most of them showed a good level of knowledge about kitchen hygiene in contrast to the group with primary or higher education.
In the investigated areas of SJL (San Pablo and Huáscar V), the surveyed mothers were mainly housewives and had a secondary education level. The vast majority of households lacked water and sewage services.
Although no significant associations were identified between the variables studied and the level of knowledge of kitchen hygiene, the mothers’ education and age in other studies were associated with knowledge of safe food handling and consumption in the home.21 Years of school attendence could improve hygiene knowledge, as well as generating a larger social network in which mothers or caregivers interact. Likewise, having a radio in a large percentage of households can be a channel to increase mothers' knowledge and good practices and to obtain appropriate cooking behaviours, through hygiene educational programs. In other studies, mothers’ occupations (homemaker or work outside the home) was shown to be associated with more satisfactory hygienic practices in relation to food poisoning prevention.19,22
Mother with lower socioeconomic status have been found more likely to experience food products with a high microbial count.23 Our study presented the limitation of not including the microbial count. Studies such as Gil et al., 2014, have shown that this measure has been an accurate indicator to determine families’ household cleaning condition.24
Likewise, demographic and socioeconomic factors may have contributed to unsafe food handling behaviours and microbial contamination risks during preparation.25 Poor food handling has been evidenced among low-income consumers.26
This study was conducted in a peri-urban area of Lima; some of our limitations may be due to the fact that the entire study population had the same socioeconomic status. Through an evaluation that includes heterogeneous populations, we could obtain complementary results regarding the influence of other variables not examined in the present study, that could improve our understanding of kitchen hygiene knowledge. It is important to highlight that data collection through interviews and surveys is prone to the possibility that the information revealed by the participants may be incomplete or not entirely truthful, which could directly impact the validity of the results.
We could not identify a predictive capacity in regard to the level of knowledge of kitchen hygiene in the evaluated sociodemographic characteristics in this sample.
Figshare: Knowledge about kitchen hygiene and associated factors, https://doi.org/10.6084/m9.figshare.16960207.v1.27
This project contains the following underlying data:
Figshare: Kitchen hygene questionnaire, https://doi.org/10.6084/m9.figshare.17868758.v1.28
This project contains the following extended data:
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Views | Downloads | |
---|---|---|
F1000Research | - | - |
PubMed Central
Data from PMC are received and updated monthly.
|
- | - |
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
No
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Food safety
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | |
---|---|
1 | |
Version 2 (revision) 23 Nov 22 |
read |
Version 1 07 Feb 22 |
read |
Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
Sign up for content alerts and receive a weekly or monthly email with all newly published articles
Already registered? Sign in
The email address should be the one you originally registered with F1000.
You registered with F1000 via Google, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Google account password, please click here.
You registered with F1000 via Facebook, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Facebook account password, please click here.
If your email address is registered with us, we will email you instructions to reset your password.
If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance.
Comments on this article Comments (0)