Submitted:
08 September 2023
Posted:
11 September 2023
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
3. Results
3.1. Characteristics of Survey Participants
3.2. Participants' perspectives on the safety of Greek-produced plant foods in terms of pesticide residues in comparison to those of other EU member states.
3.3. The variables predicting the participants' attitudes towards the safety of Greek-produced plant foods research question
3.3.1. Principal components underlying the participants' attitudes
3.3.2 Predictive variables of participants' perceptions – Logistic regression model
3.4. Latent class analysis of the respondents
3. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
| Demographic variables | Frequency | Percentage | |
|---|---|---|---|
| Gender | Female | 896 | 48.50% |
| Male | 950 | 51.50% | |
| Age | 18 – 24 | 220 | 11.90% |
| 25 – 34 | 195 | 10.60% | |
| 35 – 44 | 404 | 21.90% | |
| 45 – 54 | 669 | 36.20% | |
| 55 – 64 | 304 | 16.50% | |
| ≥ 65 | 54 | 2.90% | |
| Educational background | Less than high school | 31 | 1.70% |
| High school – Technical education | 397 | 21.50% | |
| Bachelor’s degree | 727 | 39.40% | |
| Master's degree | 565 | 30.60% | |
| Doctoral degree | 126 | 6.80% | |
| Residential geographical area | Northern Greece | 540 | 29.30% |
| Central Greece | 473 | 26.60% | |
| Southern Greece | 833 | 45.10% | |
| Population of place of residence | Less than 10,000 inhabitants (rural) | 468 | 25.40% |
| More than 10,000 inhabitants (urban) | 1378 | 74.60% | |
| Underage children in the family | No | 1027 | 55.60% |
| Yes | 819 | 44.40% | |
| Plenty of spare time | Νο | 735 | 39.80% |
| Yes | 1111 | 60.20% | |
| Smoking habits | Νο | 1404 | 76.10% |
| Yes | 442 | 23.90% | |
| Vegetarian by choice | Νο | 1722 | 93.30% |
| Yes | 124 | 6.70% | |
| Physical activity habits | Never | 243 | 13.20% |
| Occasionally | 1207 | 65.40% | |
| Systematically | 396 | 21.40% | |
| Professional or amateur pesticide users | Νο | 1058 | 57.30% |
| Yes | 788 | 42.70% | |
| Occupation | Civil servants | 814 | 44.10% |
| Private employees | 344 | 18.60% | |
| Self-employed | 224 | 12.10% | |
| Farmers | 98 | 5.30% | |
| Unemployed | 71 | 3.90% | |
| University students | 215 | 11.70% | |
| Retired | 80 | 4.30% |
| Original variables (5-point Likert scale statements) | Median (1) | IQR (2) | Principal components | Uniqueness (3) | |||||
|---|---|---|---|---|---|---|---|---|---|
| OINF | BENEFIT | GINF | TRACE | RISK | SAFE | ||||
| Official information sources | Perceived pesticides' benefits | General information sources | Confidence in traceability | Perceived pesticides' risk | Perceived plant-food safety | ||||
| Official Websites as source for pesticide information | 3 | 2 | 0.918 | 0.185 | |||||
| Newsletters from public institutions '' | 3 | 2 | 0.866 | 0.259 | |||||
| Scientific periodicals '' | 3 | 2 | 0.853 | 0.270 | |||||
| I receive information on pesticides from Agronomists | 4 | 3 | 0.712 | 0.428 | |||||
| Pesticides contribute to national income growth | 4 | 1 | 0.836 | 0.383 | |||||
| Pesticides help increase food production | 4 | 1 | 0.797 | 0.441 | |||||
| The use of agrochemicals is an unavoidable fact | 4 | 2 | 0.719 | 0.470 | |||||
| The correct use of pesticides safeguards the user | 4 | 2 | 0.697 | 0.418 | |||||
| The proper use of pesticides protects the consumer | 4 | 2 | 0.652 | 0.411 | |||||
| My information sources about pesticides are TV/Radio | 2 | 2 | 0.791 | 0.358 | |||||
| '' Electronic Press | 3 | 2 | 0.789 | 0.282 | |||||
| '' Press | 2 | 2 | 0.743 | 0.373 | |||||
| '' Social Media | 2 | 2 | 0.716 | 0.483 | |||||
| Labelling (traceability) reassures me | 4 | 1 | 0.865 | 0.273 | |||||
| Safety of certified food products | 4 | 1 | 0.843 | 0.303 | |||||
| Products from Integrated Crop Management are safe | 4 | 1 | 0.819 | 0.310 | |||||
| I feel that my health has been at risk | 3 | 1 | 0.820 | 0.288 | |||||
| I feel uncertain about the health of my own people | 4 | 2 | 0.793 | 0.424 | |||||
| Pesticide residues in food make me concerned about my safety | 5 | 1 | 0.787 | 0.347 | |||||
| Food of plant origin is generally safe to consume | 4 | 2 | 0.893 | 0.295 | |||||
| The consumption of fruit and vegetables does not generally pose a risk to the consumer | 3 | 2 | 0.733 | 0.345 | |||||
| Plant-based foods are tested for pesticide residues | 3 | 2 | 0.636 | 0.450 | |||||
| Sum of the squared loadings | 2.970 | 2.795 | 2.390 | 2.245 | 1.982 | 1.823 | |||
| Scale reliability (McDonald's ω) | 0.865 | 0.796 | 0.774 | 0.795 | 0.720 | 0.698 | |||
| Explained variance % | 13.502 | 12.706 | 10.863 | 10.205 | 9.008 | 8.288 | |||
| Cumulative variance % | 13.502 | 26.208 | 37.071 | 47.275 | 56.283 | 64.571 | |||
| Bartlett's Test of Sphericity | X2 = 14,294.113; df = 231; p < 0.001 | ||||||||
| KMO Measure of Sampling Adequacy test | 0.829 | ||||||||
|
(1): Median of the distribution of participants' answers to the 5-point Likert scale questions (1 = never to 5 = usually, or 1 = strongly disagree to 5 = strongly agree, whichever applies). (2): Interquartile range (3): Proportion of variance that is ''unique'' to the variable and not explained by the PCs. Uniqueness equals 1-communality. The lower the uniqueness, the higher the relevance of the variable in the PC model. Note: ''promax'' rotation was used, variable loadings > 0.6 and uniqueness < 0.5 were selected. | |||||||||
| Model coefficients – Dependent variable: Plant-food produced in Greece is as safe as in other EU member-States in term of pesticide residues | |||||||||
| Wald test | 95% Confidence Interval | ||||||||
| Predictor | Estimate, b | Standard error | z | Statistic | df | p | Odds ratio | Lower | Upper |
| Intercept | −0,637 | 0,145 | −4,399 | 19,353 | 1 | <0,001 | 0,529 | 0,398 | 0,702 |
| SAFE (Perceived plant-food safety) | 0,863 | 0,066 | 12,991 | 168,755 | 1 | <0,001 | 2,369 | 2,080 | 2,698 |
| Higher education | 0,553 | 0,134 | 4,129 | 17,045 | 1 | <0,001 | 1,738 | 1,337 | 2,260 |
| Age group ≥45 years old | 0,423 | 0,112 | 3,773 | 14,233 | 1 | <0,001 | 1,527 | 1,226 | 1,903 |
| OINF (Official information sources) | 0,408 | 0,063 | 6,468 | 41,836 | 1 | <0,001 | 1,504 | 1,329 | 1,701 |
| Male gender | 0,308 | 0,116 | 2,657 | 7,058 | 1 | 0,010 | 1,361 | 1,084 | 1,708 |
| TRACE (Confidence in traceability) | 0,231 | 0,062 | 3,702 | 13,707 | 1 | <0,001 | 1,259 | 1,115 | 1,423 |
| BENEFIT (Perceived pesticides benefits) | 0,228 | 0,065 | 3,524 | 12,420 | 1 | <0,001 | 1,256 | 1,106 | 1,426 |
| RISK (Perceived pesticides risk) | −0,123 | 0,061 | −2,006 | 4,024 | 1 | 0,045 | 0,884 | 0,784 | 0,997 |
| Pesticides user status | −0,327 | 0,137 | −2,395 | 5,736 | 1 | 0,020 | 0,721 | 0,551 | 0,942 |
| Predictive measures: AUC = 0.790; Sensitivity = 0.709; Specificity = 0.736 | |||||||||
| Note: Estimates represent the log odds of "Plant-food produced in Greece is as safe as in other EU member-States = 1" vs. "Plant-food produced in Greece is as safe as in other EU member-States = 0" | |||||||||
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| Variables of focus | Mann-Whitney U Test | Rank-Biserial Correlation (*) | 95% CI for Rank-Biserial Correlation | |
|---|---|---|---|---|
| Lower | Upper | |||
| OINF: Official information sources | W = 8,249.0; p < 0.001 | −0.981 | −0.983 | −0.978 |
| BENEFIT: Perceived benefits | W = 283,684.0; p < 0.001 | −0.332 | −0.378 | −0.284 |
| GINF: General information sources | W = 344,139.0; p < 0.001 | −0.190 | −0.240 | −0.138 |
| TRACE: Confidence in traceability | W = 340,339.0; p < 0.001 | −0.198 | −0.249 | −0.147 |
| RISK: Perceived pesticides risk | W = 378,416.0; p < 0.001 | 0.109 | 0.056 | 0.161 |
| SAFE: Perceived plant-food safety | W = 387,926.0; p = 0.001 | −0.086 | −0.138 | −0.034 |
| Pesticide residues in food make me concerned about my safety | W = 428,532.0; p = 0.588 | 0.009 | −0.044 | 0.062 |
| In Greece plant food is not tested for pesticide residues as often as in other EU Member-States | W = 428,008.0; p = 0.760 | 0.008 | −0.045 | 0.061 |
| Background variables | Class 1 (N = 871) | Class 2 (N = 975) | Chi-Squared Test | |
|---|---|---|---|---|
| “Non-Supporters” | “Supporters” | |||
| Gender | Female | 54.6 % | 45.4 % | Χ2 = 38.183; df = 1; |
| Μale | 40.2 % | 59.8 % | p < 0.001 | |
| Age | 18–44 | 47.6 % | 52.4 % | Χ2 = 0.112; df = 2; |
| ≥45 | 46.8 % | 53.2 % | p = 0.738 | |
| Place of residence | Rural | 40.6 % | 59.4 % | Χ2 = 10.908; df = 1; |
| Urban | 49.4 % | 50.6 % | p < 0.001 | |
| Region | Northern Greece | 52.8 % | 47.2 % | Χ2 = 14.271; df = 2; |
| Central Greece | 48.8 % | 51.2 % | p < 0.001 | |
| Southern Greece | 42.6 % | 57.4 % | ||
| I use pesticides | No | 61.6 % | 38.4 % | Χ2 = 207.455; df = 1; |
| Yes | 27.8 % | 72.2 % | p < 0.001 | |
| Profession | Civil servants | 53.1 % | 46.9 % | X2 = 36.611; df = 6; |
| Farmers | 30.6 % | 69.4 % | p < 0.001 | |
| Private employees | 42.2 % | 57.8 % | ||
| Retired | 42.5 % | 57.5 % | ||
| Self-employed | 37.9 % | 62.1 % | ||
| Unemployed | 45.1 % | 54.9 % | ||
| University students | 52.6 % | 47.4 % | ||
| Education | Secondary education | 52.6 % | 47.4 % | Χ2 = 6.488; df = 1; |
| Higher education | 45.6 % | 54.4 % | p = 0.011 | |
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