| Literature DB >> 22347771 |
Elisa Langiano, Maria Ferrara, Liana Lanni, Viviana Viscardi, Angela Marie Abbatecola, Elisabetta De Vito.
Abstract
AIM: To define food safety and risk perception of foodborne diseases in the private home setting and identify specific behaviours during food purchase, storage and preparation in a large survey study. SUBJECT AND METHODS: A large sample of individuals (n = 1,000) living in the area of Cassino, Italy, volunteered to participate in the study. All participants were randomly recruited and underwent a questionnaire-based interview at their home regarding food-safety measures. Logistic regression analyses were used to test for correlations between demographic characteristics and knowledge/behaviours of food diseases. Risks of hazardous practices in the home were calculated according to educational, physical, occupational and marital status. All analyses were performed using the EPIINFO 3.5 statistical program.Entities:
Year: 2011 PMID: 22347771 PMCID: PMC3268974 DOI: 10.1007/s10389-011-0437-z
Source DB: PubMed Journal: Z Gesundh Wiss ISSN: 0943-1853
Descriptive characteristics of the study population
| Total sample size | Male | Female | ||||
|---|---|---|---|---|---|---|
|
| % |
| % |
| % | |
| Sample size | 624 | 100 | 77 | 100 | 547 | 100 |
| 100 | 12.3 | 87.7 | ||||
| Mean age ±SD | 41.3 ± 12.2 | 36.9 ± 11.3 | 41.9 ± 12.1 | |||
| Age group | ||||||
| 18–29 | 130 | 20.8 | 37 | 48 | 93 | 17 |
| 30–39 | 157 | 25.2 | 12 | 15.6 | 145 | 26.5 |
| 40–49 | 170 | 27.2 | 16 | 20.8 | 154 | 28.2 |
| 50–59 | 117 | 18.8 | 9 | 11.6 | 108 | 19.8 |
| >60 | 46 | 7.4 | 2 | 2.7 | 44 | 8 |
| Missing | 4 | 0.6 | 1 | 1.3 | 3 | 0.5 |
| Marital status | ||||||
| Single | 105 | 16.7 | 27 | 35.1 | 78 | 14.3 |
| Married/co-living | 470 | 75.4 | 37 | 48 | 433 | 79.1 |
| Separated | 34 | 5.5 | 11 | 14.3 | 23 | 4.2 |
| Widowed | 10 | 1.6 | 0 | 0 | 10 | 1.8 |
| Missing | 5 | 0.8 | 2 | 2.6 | 3 | 0.6 |
| Educational level | ||||||
| Primary school | 45 | 7.2 | 3 | 3.9 | 42 | 7.7 |
| Junior high school | 139 | 22.3 | 20 | 26.3 | 119 | 21.8 |
| High school | 345 | 55.3 | 48 | 63.2 | 297 | 54.3 |
| College degree | 90 | 14.4 | 6 | 6.6 | 84 | 15.3 |
| Missing | 5 | 0.8 | 0 | 0 | 5 | 0.9 |
| Work activity | ||||||
| White-collar worker | 145 | 23.2 | 22 | 28.6 | 123 | 22.6 |
| Housewife | 127 | 20.3 | 0 | 0 | 127 | 23.1 |
| Blue-collar worker | 71 | 11.4 | 19 | 24.7 | 52 | 9.5 |
| Teacher | 44 | 7.0 | 1 | 1.3 | 43 | 7.9 |
| Student | 43 | 6.9 | 7 | 9.1 | 36 | 6.6 |
| Dealer | 38 | 6.1 | 8 | 10.4 | 30 | 5.5 |
| Self employed | 33 | 5.3 | 4 | 5.2 | 29 | 5.3 |
| Craftsman | 29 | 4.6 | 2 | 2.6 | 27 | 4.9 |
| Farmer | 13 | 2.1 | 5 | 6.4 | 8 | 1.5 |
| Unemployed | 19 | 3.1 | 2 | 2.6 | 17 | 3.1 |
| Retired | 19 | 3.1 | 3 | 3.9 | 16 | 2.9 |
| Other | 25 | 4.0 | 2 | 2.6 | 23 | 4.2 |
| Missing | 18 | 2.9 | 2 | 2.6 | 16 | 2.9 |
| Number of persons in household | ||||||
| 1 | 57 | 9.1 | - | - | - | - |
| 2–5 | 534 | 85.6 | - | - | - | - |
| > 6 | 22 | 3.6 | - | - | - | - |
| Missing | 11 | 1.7 | - | - | - | - |
Bivariate analysis and logistic regression analyses testing the correlations between social-demographic factors and knowledge/behaviours of foodborne diseases
| % |
| OR | 95% CI |
| ||
|---|---|---|---|---|---|---|
| The main causes of food spoilage: | ||||||
| Microrganisms | ||||||
| Age group total sample (30–39 vs. 18–29) | 25.9 | 0.0009 | ||||
| Age group female (30–39 vs. 18–29) | 24.5 | 0.01 | ||||
| Age group male (30–39 vs. 18–29) | 32.6 | 0.9 | ||||
| Gender (female vs. male) | 82.4 | 0.0001 | ||||
| Marital status (married vs. single) | 64.0 | 0.0001 | Single | 1.7 | 1.3–7.8 | 0.007 |
| Married (ref.) | 1 | |||||
| Educational level (high school vs. junior high school) | 61.7 | 0.0001 | ||||
| Work activity (white-collar worker vs. blue-collar worker) | 28.6 | 0.0001 | ||||
| Temperature | ||||||
| Gender (female vs.male) | 84.1 | 0.0001 | ||||
| Marital status (married vs. single) | 68.3 | 0.0001 | ||||
| Educational level (high school vs. junior high school) | 51.2 | 0.0001 | ||||
| Light | ||||||
| Marital status | ||||||
| Married | 0.008 | 0.001–0.9 | 0.04 | |||
| Single (ref.) | 1 | |||||
| Educational level | ||||||
| Junior high school | 2.2 | 1.5–3.2 | 0.04 | |||
| High school (ref.) | 1 | |||||
| Definition of foodborne diseases | 0.0001 | |||||
| Gender (female vs. male) | 75.0 | 0.0001 | ||||
| The microrganisms which causes foodborne diseases: | ||||||
| Maintain organoleptic characteristics | ||||||
| Gender (female vs. male) | 89.7 | 0.0001 | ||||
| Marital status (married vs. single) | 78.0 | 0.02 | ||||
| Educational level (high school vs. junior high school) | 48.3 | 0.03 | ||||
| Work activity (housewife vs. blue-collar worker) | 28.6 | 0.0001 | Housewife | 0.5 | 0.2–0.9 | 0.006 |
| White-collar worker (rif.) | 1 | |||||
| Alter the organoleptic properties | ||||||
| Educational level | ||||||
| Junior high school | 2.4 | 1.5–3.4 | 0.009 | |||
| High school (ref.) | 1 | |||||
| Blue-collar worker | 3.1 | 2.6–5.2 | 0.01 | |||
| White-collar worker (ref.) | 1 | |||||
| Are present during production or storage | ||||||
| Marital status (married vs. single) | 72.7 | 0.0001 | ||||
| Educational level (high school vs. junior high school) | 63.6 | 0.0003 | ||||
| Work activity (white-collar worker vs. blue-collar worker) | 45.5 | 0.0001 | ||||
| Are not present if the food is contaminated during production or storage | ||||||
| Marital status | ||||||
| Single | 2.7 | 2.4–8.4 | 0.04 | |||
| Married (ref.) | 1 | |||||
| Work activity | ||||||
| Blue-collar worker | 3.5 | 2.8–5.8 | 0.02 | |||
| White-collar worker (ref.) | 1 | |||||
Respondent’s behaviour when purchasing food
| % | % | % | % | |
|---|---|---|---|---|
| Where the purchase was made | Always | Often | Sometimes | Never |
| Supermarket | 65.3 | 26.3 | 6.8 | 1.6 |
| Small distribution | 17.2 | 19.8 | 19.5 | 43.5 |
| Market | 11.5 | 16 | 22.7 | 49.8 |
| Discount | 12.9 | 12.2 | 17.5 | 57.4 |
| Home sales | 0.2 | 2.2 | 4.3 | 93.3 |
| Used purchasing controls for | ||||
| Appearance | 46.9 | 9.4 | 5.6 | 38.1 |
| Package integrity | 53.9 | 7.8 | 4 | 34.3 |
| Expiration date | 84 | 9.5 | 3 | 3.5 |
| Label | 34.3 | 14.5 | 10.8 | 40.5 |
| Price | 46 | 18 | 10.6 | 25.4 |
| Brand | 21.7 | 11.9 | 14 | 52.4 |
| Label control | yes | |||
| Ingredients | 32.7 | ── | ── | ── |
| Expiration date | 76 | ── | ── | ── |
| Calories | 18.6 | ── | ── | ── |
| Ntritional composition | 19.1 | ── | ── | ── |
| Choice of store | ||||
| Confidence in the retailer | 25.5 | ── | ── | ── |
| Comfort of the store | 31.4 | ── | ── | ── |
| Price | 46.6 | ── | ── | ── |
| Food quality | 66.5 | ── | ── | ── |
| Store hygiene | 26.5 | ── | ── | ── |
Bivariate analysis of social demographic factors to consumer behaviour
| % |
| |
|---|---|---|
| Food purchased at: | ||
| Supermarket/shopping center | ||
| Marital status (married vs. single) | 77.8 | 0.0001 |
| Discount | 0.0001 | |
| Gender (female vs. male) | 79.3 | 0.0001 |
| Educational level (junior High school vs. College Degree) | 55.9 | 0.0001 |
| Work activity (Housewife vs. Self employed) | 23.7 | 0.0001 |
| Marital status (married vs. single) | 62.7 | 0.0001 |
| Fruit purchasing from roadside vendors | ||
| Educational level (Junior High school vs. College Degree) | 44.4 | 0.05 |
| Work activity (Blue collar worker vs. White collar worker) | 22.2 | 0.04 |
| Control “sell-by date” during purchase | ||
| Gender (female vs. male) | 89.9 | 0.002 |
| Marital status (married vs. single) | 72.6 | 0.003 |
| Educational level (High school vs. Junior High school) | 56.6 | 0.003 |
| Work activity (Blue collar worker vs. White collar worker) | 26.0 | 0.002 |
Inappropriate practices during food purchase, preparation and storage
| % | 95% CI | |
|---|---|---|
| Inappropriate practices during food purchase | ||
| No control of the food packaging | 34.2 | 30.1–38.6 |
| No control of frozen food packaging | 40.7 | 36.8–44.7 |
| No label control | 40.4 | 36.0–44.9 |
| Conservation of frozen or refrigerated food in cool bags | 40.1 | 35.8–44.6 |
| Inappropriate practices in the home | ||
| Undercooked meat consumption | 9.8 | 7.6–12.5 |
| Undercooked fish consumption | 6.9 | 5.1–9.3 |
| Hand-washing with water after handling raw meat | 31.8 | 27.4–36.5 |
| Hand-washing with water after handling raw fish | 7.3 | 3.9–11.2 |
| Storage at room temperature | 24.0 | 20.8–27.6 |
| Defrosting at room temperature | 62.7 | 58.7–66.4 |
| Close contact of raw and cooked foods in the refrigerator | 63.5 | 59.5–67.2 |
| Using the same chopping board to prepare raw and cooked foods | 78.7 | 75.3–81.7 |
| Using wooden chopping board | 76.3 | 72.7–79.5 |
Logistic regression analyses testing the correlations between risks of hazardous practices in the home according to marital status, educational level and work activity and in groups at risk
| OR | 95% CI |
| |
|---|---|---|---|
| Food defrost at room temperature | |||
| Demographic data | |||
| Educational level | |||
| Junior high school | 3.8 | 2.6–4.9 | 0.007 |
| High school (ref.) | 1 | ||
| Work activity | |||
| Blue-collar worker | 1.7 | 1.5–2.9 | 0.02 |
| White-collar worker (ref.) | 1 | ||
| Risk categories | |||
| Pregnant women | |||
| Yes | 4.2 | 1.6–11.06 | 0.003 |
| No (ref.) | 1 | ||
| Elderly | |||
| Yes | 1.4 | 1.2–4.6 | 0.04 |
| No (ref.) | 1 | ||
| Children | |||
| Yes | 1.9 | 1.7–4.9 | 0.02 |
| No (ref.) | 1 | ||
| Cooked foods not consumed immediately conserved at room temperature | |||
| Single | 4.1 | 3.5–7.5 | 0.006 |
| Married (ref.) | 1 | ||
| Work activity | |||
| Housewife | 0.3 | 0.08–0.9 | 0.03 |
| Blue-collar worker | 1.6 | 1.1–3.1 | 0.007 |
| White-collar worker (ref.) | 1 | ||
| Storage at room temperature | |||
| Pregnant women | |||
| Yes | 2.9 | 1.1–7.1 | 0.02 |
| No (ref.) | 1 | ||
| Elderly | |||
| Yes | 1.7 | 1.5–5.9 | 0.03 |
| No (ref.) | 1 | ||