Assessing Dietary Exposure to Pesticides: Insights from Greek Potato Consumers
Abstract
1. Introduction
2. Materials and Methods
2.1. Details of the Study
2.2. Food Consumption Data
2.3. Linking Food Consumption and Residue Concentration Data
2.4. Identifying Latent Consumer Subgroups
3. Results
3.1. Profile of Survey Participants
3.2. Analysis of Participants’ Attitudes and Perceptions
3.2.1. Key Factors Influencing Participants’ Attitudes
3.2.2. Latent Profile Analysis
3.2.3. Latent Profiles Descriptions
3.3. Assessment of Exposure and Evaluation of Risk
4. Discussion
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
| Demographic Variables | Frequency | Percentage | |
|---|---|---|---|
| Gender | Female | 763 | 57.9% |
| Male | 555 | 42.1% | |
| Age | 18–24 | 96 | 7.3% |
| 25–34 | 89 | 6.8% | |
| 35–44 | 194 | 14.7% | |
| 45–54 | 539 | 40.9% | |
| 55–64 | 338 | 25.6% | |
| ≥65 | 62 | 4.7% | |
| Educational background | Less than high school | 3 | 0.2% |
| High school—Technical education | 203 | 15.4% | |
| Bachelor’s degree | 478 | 36.3% | |
| Master’s degree | 519 | 39.4% | |
| Doctoral degree | 115 | 8.7% | |
| Residential geographical area | Northern Greece | 472 | 35.8% |
| Central Greece | 421 | 31.9% | |
| Southern Greece | 425 | 32.2% | |
| Population of place of residence | Less than 10,000 inhabitants (rural) | 297 | 22.5% |
| More than 10,000 inhabitants (urban) | 1021 | 77.5% | |
| Underage children in the family | No | 760 | 57.7% |
| Yes | 558 | 42.3% | |
| Plenty of spare time | Νο | 571 | 43.3% |
| Yes | 747 | 56.7% | |
| Smoking habits | Νο | 1042 | 79.1% |
| Yes | 276 | 20.9% | |
| Vegetarian by choice | Νο | 1266 | 96.1% |
| Yes | 52 | 3.9% | |
| Physical activity habits | Never | 157 | 11.9% |
| Occasionally (<1–2 times/month) | 394 | 29.9% | |
| Often (3–4 times/month) | 268 | 20.3% | |
| Habitually (>2 times/week) | 499 | 37.9% | |
| Professional or amateur pesticide users | Νο | 919 | 69.7% |
| Yes | 399 | 30.3% | |
| Occupation | Civil servants | 729 | 55.3% |
| Private employees | 227 | 17.2% | |
| Self-employed | 142 | 10.8% | |
| Farmers | 25 | 1.9% | |
| Unemployed | 44 | 3.3% | |
| University students | 89 | 6.8% | |
| Retired | 62 | 4.7% | |
| Original Variables | Principal Components | Uniqueness (2) | ||||||
|---|---|---|---|---|---|---|---|---|
| SPS | PAG | POC | GES | FVC | CPD | PIC | ||
| Specialized Sources | Professional and Advocacy Guidance | Potato Consumption | General Sources | Fruit/Vegetable Consumption | Certified Products | Pesticide Confidence | ||
| Official Websites | 0.825 (1) | 0.332 | ||||||
| Public Agency Bulletins | 0.807 | 0.320 | ||||||
| Specialized Journals (Agriculture, Nutrition, etc.) | 0.784 | 0.385 | ||||||
| News Websites | 0.702 | 0.372 | ||||||
| Agronomists | 0.525 | 0.378 | ||||||
| Dietitian–Nutritionist | 0.771 | 0.426 | ||||||
| Consumer Organizations | 0.752 | 0.352 | ||||||
| Environmental–Ecological Organizations | 0.750 | 0.395 | ||||||
| Health Professionals | 0.696 | 0.393 | ||||||
| Moussaka Consumption | 0.867 | 0.238 | ||||||
| Potato Salad Consumption | 0.781 | 0.371 | ||||||
| Boiled Potato Consumption | 0.750 | 0.422 | ||||||
| Baked Potato Consumption | 0.708 | 0.475 | ||||||
| Television–Radio | 0.810 | 0.335 | ||||||
| Online Newspapers | 0.755 | 0.356 | ||||||
| Newspapers–Magazines | 0.673 | 0.411 | ||||||
| Vegetable Consumption (Fresh/Processed) | 0.815 | 0.349 | ||||||
| Fruit Consumption (Fresh/Processed) | 0.805 | 0.362 | ||||||
| Adherence to Traditional Greek Cuisine | 0.691 | 0.498 | ||||||
| Consumption of Certified Products | 0.874 | 0.276 | ||||||
| Certified Origin Products Consumption | 0.857 | 0.280 | ||||||
| Organic Fruits and Vegetables Consumption | 0.529 | 0.501 | ||||||
| Proper Pesticide Application Ensures Consumer Safety | 0.854 | 0.283 | ||||||
| Pesticide Benefits Outweigh Risks | 0.847 | 0.289 | ||||||
| Sum of the squared loadings | 2.94 | 2.56 | 2.45 | 1.99 | 1.84 | 1.82 | 1.62 | |
| Scale reliability (McDonald’s ω) | 0.82 | 0.78 | 0.79 | 0.79 | 0.70 | 0.70 | 0.66 | |
| Explained variance % (3) | 12.24 | 10.65 | 10.19 | 8.27 | 7.66 | 7.59 | 6.73 | |
| Cumulative variance % | 12.24 | 22.89 | 33.08 | 41.35 | 49.01 | 56.6 | 63.33 | |
| Bartlett’s Test of Sphericity (4) | χ2 = 9971.9; df = 276; p < 0.001 | |||||||
| KMO Measure of Sampling Adequacy test (5) | 0.765 | |||||||
| Pesticide | ADI | LOQ | Positive Samples (% in Brackets) | Mean Positive Samples Residues | Non-Detects (% in Brackets) | Mean Non-Detects Residues (LOQ/2) | Average Residue Concentration |
|---|---|---|---|---|---|---|---|
| mg/kg bw/day | mg/kg | mg/kg | mg/kg | mg/kg | |||
| imidacloprid | 0.060 * | 0.01 | 8 (3.5%) | 0.024 | 223 (96.5%) | 0.005 | 0.006 |
| flutolanil | 0.090 * | 0.01 | 2 (0.9%) | 0.021 | 229 (99.1%) | 0.005 | 0.005 |
| propamocarb | 0.290 * | 0.01 | 9 (3.9%) | 0.017 | 222 (96.1%) | 0.005 | 0.005 |
| dimethomorph | 0.050 * | 0.01 | 4 (1.7%) | 0.016 | 227 (98.3%) | 0.005 | 0.005 |
| fenamiphos | 0.001 * | 0.01 | 1 (0.4%) | 0.022 | 230 (99.6%) | 0.005 | 0.005 |
| fluaziphop-p | 0.010 * | 0.01 | 3 (1.3%) | 0.078 | 228 (98.7%) | 0.005 | 0.006 |
| fluopicolide | 0.080 * | 0.01 | 3 (1.3%) | 0.016 | 228 (98.7%) | 0.005 | 0.005 |
| fluopyram | 0.012 * | 0.01 | 7 (3.0%) | 0.017 | 224 (97.0%) | 0.005 | 0.005 |
| fosthiazate | 0.004 * | 0.01 | 6 (2.6%) | 0.050 | 225 (97.4%) | 0.005 | 0.006 |
| lambda-cyhalothrin | 0.003 * | 0.01 | 2 (0.9%) | 0.017 | 229 (99.1%) | 0.005 | 0.005 |
| mancozeb | 0.023 * | 0.01 | 3 (1.3%) | 0.114 | 228 (98.7%) | 0.005 | 0.006 |
| metalaxyl and metalaxyl-M | 0.080 * | 0.01 | 6 (2.6%) | 0.015 | 225 (97.4%) | 0.005 | 0.005 |
| permethrin | 0.050 ** | 0.01 | 1 (0.4%) | 0.078 | 230 (99.6%) | 0.005 | 0.005 |
| Pesticide Active Substance | HELLANS 2024–2025 | HELLANS 2024–2025—LPA1 | HELLANS 2024–2025—LPA2 | ||||
|---|---|---|---|---|---|---|---|
| units | mean potato consumption | 99th percentile potato consumption | mean potato consumption | 99th percentile potato consumption | mean potato consumption | 99th percentile potato consumption | |
| imidacloprid | mg/kg bw per day | 0.007 | 0.041 | 0.004 | 0.012 | 0.014 | 0.058 |
| % of ADI (1) | 0.01% | 0.07% | 0.01% | 0.02% | 0.02% | 0.10% | |
| fosthiazate | mg/kg bw per day | 0.007 | 0.041 | 0.004 | 0.012 | 0.014 | 0.058 |
| % of ADI | 0.18% | 1.02% | 0.11% | 0.29% | 0.34% | 1.45% | |
| fluopyram | mg/kg bw per day | 0.006 | 0.034 | 0.004 | 0.010 | 0.011 | 0.048 |
| % of ADI | 0.01% | 0.03% | 0.00% | 0.01% | 0.01% | 0.04% | |
| lambda-cyhalothrin | mg/kg bw per day | 0.006 | 0.034 | 0.004 | 0.010 | 0.011 | 0.048 |
| % of ADI | 0.24% | 1.36% | 0.15% | 0.38% | 0.46% | 1.94% | |
| mancozeb | mg/kg bw per day | 0.007 | 0.041 | 0.004 | 0.012 | 0.014 | 0.058 |
| % of ADI | 0.03% | 0.18% | 0.02% | 0.05% | 0.06% | 0.25% | |
| metalaxyl and metalaxyl-M | mg/kg bw per day | 0.006 | 0.034 | 0.004 | 0.010 | 0.011 | 0.048 |
| % of ADI | 0.01% | 0.04% | 0.00% | 0.01% | 0.01% | 0.06% | |
| fenamiphos | mg/kg bw per day | 0.007 | 0.041 | 0.004 | 0.012 | 0.014 | 0.058 |
| % of ADI | 0.91% | 5.08% | 0.56% | 1.44% | 1.72% | 7.27% | |
| propamocarb | mg/kg bw per day | 0.006 | 0.034 | 0.004 | 0.010 | 0.011 | 0.048 |
| % of ADI | 0.00% | 0.01% | 0.00% | 0.00% | 0.00% | 0.02% | |
| flutolanil | mg/kg bw per day | 0.006 | 0.034 | 0.004 | 0.010 | 0.011 | 0.048 |
| % of ADI | 0.01% | 0.04% | 0.00% | 0.01% | 0.01% | 0.05% | |
| dimethomorph | mg/kg bw per day | 0.006 | 0.034 | 0.004 | 0.010 | 0.011 | 0.048 |
| % of ADI | 0.01% | 0.07% | 0.01% | 0.02% | 0.02% | 0.10% | |
| permethrin | mg/kg bw per day | 0.006 | 0.034 | 0.004 | 0.010 | 0.011 | 0.048 |
| % of ADI | 0.01% | 0.07% | 0.01% | 0.02% | 0.02% | 0.10% | |
| Hazard Index (2) | 0.014 | 0.080 | 0.009 | 0.023 | 0.027 | 0.114 |
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| Principal Components | Welch’s t statistic (1) | df | p |
|---|---|---|---|
| PIC: Pesticide confidence attitude | –6.421 | 790.92 | <0.001 |
| CPD: Certified products consumption | 4.873 | 726.342 | <0.001 |
| FVC: Fruit/vegetable consumption | 16.66 | 554.772 | <0.001 |
| GES: General sources of information | 3.839 | 728.354 | <0.001 |
| POC: Potato consumption habit | –7.242 | 427.739 | <0.001 |
| PAG: Professional and advocacy guidance | 1.325 | 687.589 | 0.186 |
| SPS: Specialized sources of information | 0.168 | 746.951 | 0.866 |
| Background Variables | Class 1 (N = 915) | Class 2 (N = 403) | Chi-Squared Test | |
|---|---|---|---|---|
| “Concerned Consumers” | “Confident Consumers” | |||
| Gender | Male | 36.4% (−6.3) (1) | 55.1% (6.3) | Χ2 = 40.1; df = 1; |
| Female | 63.6% (6.3) | 44.9% (−6.3) | p < 0.001 | |
| Age | 18–44 | 27.1% (−2.0) | 32.5% (2.0) | Χ2 = 4.0; df = 1; |
| ≥45 | 72.9% (2.0) | 67.5% (−2.0) | p = 0.046 | |
| Education | Secondary education | 13.1% (−3.8) | 21.3% (3.8) | Χ2 = 14.4; df = 1; |
| Higher education | 86.9% (3.8) | 78.7% (−3.8) | p < 0.001 | |
| Foodborne illnesses outweigh pesticide risks | Not in favor | 78.1% (3.3) | 69.7% (−3.3) | Χ2 = 10.7; df = 1; |
| In favor | 21.9% (−3.3) | 30.3% (3.3) | p < 0.001 | |
| Profession | Civil servants | 59.3% (4.4) | 46.2% (−4.4) | X2 = 26.9; df = 6; |
| Farmers | 1.6% (−1.0) | 2.5% (1.0) | p < 0.001 | |
| Private employees | 14.6% (−3.7) | 23.1% (3.7) | ||
| Retired | 4.3% (−1.1) | 5.7% (1.1) | ||
| Self-employed | 10.8% (0.1) | 10.7% (0.1) | ||
| Unemployed | 3.5% (0.4) | 3.0% (−0.4) | ||
| University students | 5.5% (−2.1) | 8.9% (2.1) | ||
| Pesticide residues concern | No | 2.4% (−11.8) | 21.8% (11.8) | Χ2 = 138.1; df = 1; |
| Yes | 97.6% (11.8) | 78.2% (−11.8) | p < 0.001 | |
| Family income | 0–10,000 € | 7.4% (−3.3) | 13.2% (3.3) | Χ2 = 17.3; df = 2; |
| 10,001–20,000 € | 36.3% (−1.6) | 40.9% (1.6) | p < 0.001 | |
| >20,001 € | 56.3% (3.5) | 45.9% (−3.5) | ||
| Avoidance of perceived contaminated food | No | 25.5% (−7.4) | 46.2% (7.4) | Χ2 = 55.2; df = 1; |
| Yes | 74.5% (7.4) | 53.8% (−7.4) | p < 0.001 | |
| Physical activity | No | 38.0% (−4.2) | 50.4% (4.2) | Χ2 = 17.5; df = 1; |
| Yes | 62.0% (4.2) | 49.6% (−4.2) | p = 0.001 | |
| Sample Groups | N | Mean Body Weight (kg) | Mean Consumption (g/bw/Day) | SE (1) | IQR (2) | Percentiles | |||
|---|---|---|---|---|---|---|---|---|---|
| 50th | 95th | 99th | |||||||
| HELLANS (2024–2025) | Adults—overall study sample | 1318 | 78.7 | 1.216 | 0.036 | 1.162 | 0.856 | 3.159 | 6.779 |
| HELLANS (2024–2025)—LPA1 | Adults—latent profile subgroup No.1 | 915 | 77.9 | 0.741 | 0.015 | 0.706 | 0.650 | 1.648 | 1.921 |
| HELLANS (2024–2025)—LPA2 | Adults—latent profile subgroup No.2 | 403 | 80.6 | 2.296 | 0.093 | 1.501 | 1.997 | 5.587 | 9.689 |
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Simoglou, K.B.; Vryzas, Z.; Roditakis, E. Assessing Dietary Exposure to Pesticides: Insights from Greek Potato Consumers. Pollutants 2025, 5, 49. https://doi.org/10.3390/pollutants5040049
Simoglou KB, Vryzas Z, Roditakis E. Assessing Dietary Exposure to Pesticides: Insights from Greek Potato Consumers. Pollutants. 2025; 5(4):49. https://doi.org/10.3390/pollutants5040049
Chicago/Turabian StyleSimoglou, Konstantinos B., Zisis Vryzas, and Emmanouil Roditakis. 2025. "Assessing Dietary Exposure to Pesticides: Insights from Greek Potato Consumers" Pollutants 5, no. 4: 49. https://doi.org/10.3390/pollutants5040049
APA StyleSimoglou, K. B., Vryzas, Z., & Roditakis, E. (2025). Assessing Dietary Exposure to Pesticides: Insights from Greek Potato Consumers. Pollutants, 5(4), 49. https://doi.org/10.3390/pollutants5040049

