| Literature DB >> 33804597 |
Hanna Górska-Warsewicz1, Krystyna Rejman1, Joanna Kaczorowska1, Wacław Laskowski1.
Abstract
The aim of our study was to analyse vegetables, potatoes and their products as sources of energy and nutrients in the average diet in Poland. Representative data of the 2016 Household Budget Survey from 36,886 households were used. This is the largest study sample in Poland, so we generalized the conclusions to the whole population using the statement 'average diet'. We analysed three main product groups: vegetables, vegetable products, and potatoes and potatoes products, dividing them into 14 subgroups (e.g., tomatoes, cabbage, carrots, other vegetables, and mushrooms). The percentages of energy, protein, carbohydrates, total fat, nine vitamins (thiamine, riboflavin, niacin, vitamin B6, folate, vitamin C, vitamin A, vitamin D, and vitamin E), seven minerals (calcium, phosphorus, sodium, potassium, iron, magnesium and zinc), and fibre from the analysed food subgroups are presented. Additionally, the influence of household characteristics on the supply of energy and nutrients from each subgroup of vegetables, potatoes, and their products was evaluated using cluster analysis. In the analysis, R programme and Kohonen neural networks were applied. Our study showed that vegetables, potatoes, and their products provide 7.3% of daily dietary energy supply. Vegetables contribute more than 20% of the supply of six nutrients: vitamin C (51.8%), potassium (32.5%), folate (31.0%), vitamin A (30.6%), vitamin B6 (27.8%), and magnesium (20.2%), as well as fibre (31.8%). Cluster analysis distinguished three clusters that differed in nutritional supply from vegetables, potatoes, and their products. Educational level, income measured by quintile groups, village size, socio-economic characteristics, urbanization degree, and land use were the most important factors determining differences between clusters.Entities:
Keywords: energy supply; food sources; nutrient supply; potatoes; vegetables
Mesh:
Year: 2021 PMID: 33804597 PMCID: PMC8003722 DOI: 10.3390/ijerph18063217
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Food groups analysed in the study.
| Main Groups | Subgroups |
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| Vegetable |
Lettuce Cabbage Cauliflower Tomatoes Cucumber Carrots Beetroot Onions Other vegetables and mushrooms |
| Vegetable preserves |
Frozen vegetables and mushrooms Sour cabbage Other vegetable and mushroom preserves |
| Potatoes and potato products |
Potatoes Potato products |
Vegetables, potatoes, and their products as sources of energy, macronutrients, and fibre in the diet.
| Specification | Energy | Protein | Carbohydrates | Total Fat | Fibre |
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| lettuce | 0.04 | 0.09 | 0.06 | 0.01 | 0.42 |
| cabbage | 0.17 | 0.34 | 0.31 | 0.04 | 1.89 |
| cauliflower | 0.04 | 0.11 | 0.07 | 0.01 | 0.48 |
| tomatoes | 0.25 | 0.34 | 0.46 | 0.06 | 2.03 |
| cucumbers | 0.10 | 0.15 | 0.17 | 0.02 | 0.40 |
| carrots | 0.19 | 0.17 | 0.43 | 0.03 | 2.64 |
| beetroots | 0.09 | 0.13 | 0.18 | 0.01 | 0.73 |
| onions | 0.23 | 0.23 | 0.43 | 0.04 | 1.26 |
| other vegetables and mushrooms | 1.33 | 2.62 | 2.04 | 0.40 | 8.34 |
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| frozen vegetables and mushrooms | 0.11 | 0.17 | 0.19 | 0.02 | 1.03 |
| sour cabbage | 0.04 | 0.08 | 0.08 | 0.01 | 0.72 |
| other vegetable and mushroom products | 0.77 | 0.85 | 0.86 | 0.79 | 2.77 |
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| potatoes | 3.45 | 2.32 | 6.65 | 0.11 | 8.25 |
| potato products | 0.52 | 0.33 | 0.66 | 0.47 | 0.85 |
The values in the columns do not add up because each time the conversion is done from the whole population according to the R environment rule. Differences are in hundredths of decimal places as a result of calculations from a database with many thousands of records. Data in bold are cumulative for the entire population or summed for individual groups, i.e., vegetables, vegetable products, and potatoes and potatoes products.
Vegetables, potatoes, and their products as sources of minerals in the diet.
| Specification | Calcium | Phosphorus | Sodium | Potassium | Iron | Magnesium | Zinc |
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| Lettuce | 0.19 | 0.09 | 0.01 | 0.26 | 0.35 | 0.17 | 0.23 |
| Cabbage | 1.36 | 0.37 | 0.05 | 1.21 | 0.58 | 0.68 | 0.46 |
| Cauliflower | 0.12 | 0.11 | 0.02 | 0.31 | 0.22 | 0.17 | 0.09 |
| Tomatoes | 0.42 | 0.52 | 0.06 | 3.05 | 1.39 | 0.85 | 0.77 |
| Cucumbers | 0.37 | 0.29 | 1.09 | 0.59 | 0.36 | 0.99 | 0.60 |
| Carrots | 0.79 | 0.36 | 0.29 | 1.36 | 0.62 | 0.77 | 0.45 |
| Beetroot | 0.46 | 0.09 | 0.07 | 0.66 | 0.84 | 0.39 | 0.33 |
| Onions | 0.54 | 0.15 | 0.55 | 0.58 | 0.60 | 0.44 | 0.31 |
| Other vegetables and mushrooms | 2.65 | 3.74 | 0.11 | 5.15 | 6.10 | 5.15 | 4.64 |
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| Frozen vegetables and mushrooms | 0.28 | 0.21 | 0.04 | 0.57 | 0.43 | 0.35 | 0.28 |
| Sour cabbage | 0.37 | 0.09 | 0.40 | 0.47 | 0.28 | 0.16 | 0.14 |
| Other vegetable and mushroom preserves | 0.97 | 0.99 | 0.91 | 2.00 | 1.70 | 1.51 | 1.05 |
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| Potatoes | 0.68 | 4.72 | 0.18 | 15.07 | 5.00 | 7.87 | 3.27 |
| Potato products | 0.16 | 0.47 | 0.04 | 1.16 | 0.54 | 0.67 | 0.36 |
The values in the columns do not add up because each time the conversion is done from the whole population according to the R environment rule. Differences are in hundredths of decimal places as a result of calculations from a database with many thousands of records. Data in bold are cumulative for the entire population or summed for individual groups, i.e., vegetables, vegetable products, and potatoes and potatoes products.
Vegetables, potatoes and their products as sources of vitamins in the diet.
| Specification | Thiamin | Riboflavin | Niacin | Vitamin B6 | Folate | Vitamin C | Vitamin A | Vitamin D | Vitamin E |
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| Lettuce | 0.18 | 0.28 | 0.07 | 0.17 | 1.35 | 0.74 | 0.93 | 0.00 | 0.19 |
| Cabbage | 0.68 | 0.76 | 0.41 | 1.05 | 2.84 | 7.03 | 1.12 | 0.00 | 1.35 |
| Cauliflower | 0.25 | 0.22 | 0.13 | 0.27 | 0.80 | 2.37 | 0.12 | 0.00 | 0.12 |
| Tomatoes | 1.42 | 0.77 | 1.84 | 2.36 | 3.97 | 7.35 | 2.91 | 0.00 | 3.04 |
| Cucumber | 0.24 | 0.28 | 0.17 | 0.20 | 0.59 | 0.96 | 0.31 | 0.00 | 0.12 |
| Carrots | 0.53 | 0.44 | 0.37 | 1.05 | 1.46 | 0.54 | 16.34 | 0.00 | 0.57 |
| Beetroot | 0.11 | 0.18 | 0.13 | 0.16 | 1.28 | 0.77 | 0.44 | 0.00 | 0.12 |
| Onions | 0.29 | 0.24 | 0.16 | 0.69 | 0.75 | 0.89 | 0.02 | 0.00 | 0.13 |
| Other vegetables and mushrooms | 5.32 | 3.63 | 2.94 | 4.07 | 8.36 | 9.95 | 3.54 | 20.34 | 2.42 |
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| Frozen vegetables and mushrooms | 0.36 | 0.28 | 0.33 | 0.5 | 1.19 | 1.60 | 1.68 | 0.02 | 0.34 |
| Sour cabbage | 0.13 | 0.22 | 0.04 | 0.53 | 0.34 | 1.17 | 0.02 | 0.00 | 0.00 |
| Other vegetable and mushroom products | 0.96 | 0.99 | 1.13 | 1.40 | 1.93 | 4.33 | 2.95 | 0.31 | 2.46 |
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| Potatoes | 6.16 | 2.61 | 7.84 | 14.27 | 5.72 | 13.35 | 0.09 | 0.00 | 0.41 |
| Potato products | 0.48 | 0.36 | 0.78 | 1.02 | 0.39 | 0.75 | 0.10 | 0.13 | 0.68 |
The values in the columns do not add up because each time the conversion is done from the whole population according to the R environment rule. Differences are in hundredths of decimal places as a result of calculations from a database with many thousands of records. Data in bold are cumulative for the entire population or summed for individual groups, i.e., vegetables, vegetable products, and potatoes and potatoes products.
Cluster analysis: impact of household characteristics on the energy and nutrient supply from vegetable, potatoes, and their products.
| Factors | Cramer Correlations |
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| Education level |
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| Income (quintile group) |
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| Village size |
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| Land use |
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| Study month | 0.115 |
| Financial status self-assessment | 0.108 |
| Household size | 0.092 |
| Nutritional self-assessment | 0.086 |
| Region | 0.083 |
| Family life phase | 0.080 |
| Gender | 0.059 |
| Age | 0.054 |
The most influential factors are highlighted in bold.
Cluster analysis: characteristics of clusters in terms of selected socio-economic characteristics.
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| 100% | 55.7% | 27.1% | 17.2% | |
| Number of households | 36,886 | 20,538 | 9992 | 6356 |
| Number of persons in households | 99,230 | 55,798 | 28,540 | 14,892 |
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| Lower secondary, primary | 13.7% | 12.4% | 19.7% | 8.4% |
| Basic vocational | 31.3% | 30.8% | 39.2% | 2.3% |
| Secondary and post-secondary | 32.6% | 33.6% | 29.4% | 34.8% |
| higher | 22.4% | 23.3% | 11.7% | 36.5% |
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| First group | 20.0% | 18.6% | 28.8% | 10.6% |
| Second group | 20.0% | 19.9% | 23.8% | 14.4% |
| Third group | 20.0% | 20.4% | 19.9% | 18.8% |
| Fourth group | 20.0% | 20.6% | 17.0% | 22.8% |
| Fifth group | 20.0% | 20.5% | 10.5% | 33.3% |
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| 500,000 residents and more | 12.9% | 13.3% | 6.3% | 21.9% |
| 200,000 to 499,000 residents | 8.5% | 9.1% | 5.7% | 11.0% |
| 100,000 to 199,000 residents | 7.9% | 8.6% | 6.2% | 8.3% |
| 20,000 to 99,000 residents | 17.2% | 18.0% | 15.1% | 18.1% |
| Less than 20,000 residents | 11.2% | 11.8% | 11.0% | 9.9% |
| Village | 42.3% | 39.3% | 55.8% | 30.9% |
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| White-collar workers | 24.5% | 25.6% | 27.9% | 15.5% |
| Employees in manual labour positions | 24.0% | 25.7% | 14.6% | 33.3% |
| Farmers | 4.6% | 3.5% | 8.2% | 2.3% |
| Self-employed | 6.8% | 7.1% | 4.7% | 9.0% |
| Pensioners | 29.9% | 28.3% | 32.3% | 31.0% |
| Retired | 6.3% | 5.9% | 7.6% | 5.5% |
| Recipients of social benefits | 2.6% | 2.4% | 3.7% | 1.5% |
| Living from other unearned sources | 1.5% | 1.6% | 1.1% | 1.8% |
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| Densely populated area | 35.4% | 37.1% | 24.1% | 47.7% |
| Medium populated area | 22.9% | 23.7% | 21.7% | 22.1% |
| Sparsely populated area | 41.7% | 39.1% | 54.2% | 30.2% |
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| Yes | 52.6% | 49.3% | 63.0% | 47.3% |
| No | 47.4% | 50.7% | 37.1% | 52.7% |
Cluster analysis: percentage contribution of energy, macronutrients, minerals, and vitamins from vegetables, potatoes, and their products.
| Specification | Sample Population | Cluster 1 | Cluster 2 | Cluster 3 |
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| Energy | 7.33% | 5.13% | 10.92% | 9.08% |
| Protein | 7.93% | 5.89% | 10.21% | 11.96% |
| Carbohydrates | 12.58% | 8.73% | 19.54% | 15.25% |
| Total fat | 2.03% | 1.96% | 1.67% | 2.83% |
| Fibre | 31.80% | 26.33% | 39.16% | 40.91% |
| Calcium | 9.35% | 7.69% | 11.69% | 14.49% |
| Phosphorus | 12.20% | 8.78% | 17.16% | 16.83% |
| Sodium | 3.82% | 3.05% | 4.01% | 5.32% |
| Potassium | 32.45% | 24.83% | 45.93% | 37.76% |
| Iron | 19.00% | 14.67% | 23.67% | 27.52% |
| Magnesium | 20.15% | 14.76% | 28.21% | 26.03% |
| Zinc | 12.98% | 9.81% | 16.09% | 20.14% |
| Thiamin | 17.11% | 12.66% | 22.68% | 24.71% |
| Riboflavin | 11.26% | 8.66% | 14.04% | 17.03% |
| Niacin | 16.32% | 11.65% | 23.49% | 20.47% |
| Vitamin B6 | 27.76% | 20.49% | 40.98% | 32.69% |
| Folate | 30.98% | 25.65% | 36.67% | 43.83% |
| Vitamin C | 51.81% | 45.13% | 65.22% | 57.17% |
| Vitamin A | 30.57% | 25.92% | 32.61% | 43.09% |
| Vitamin D | 20.80% | 17.02% | 17.93% | 39.53% |
| Vitamin E | 11.96% | 10.84% | 11.59% | 18.70% |
Figure 1Cluster analysis: percentage contribution of selected nutrients from vegetables, potatoes, and their products.
Figure 2Cluster analysis: percentage contribution of selected nutrients from selected vegetables, potatoes, and their products.