| Literature DB >> 32365534 |
Krystyna Rejman1, Hanna Górska-Warsewicz1, Maksymilian Czeczotko1, Wacław Laskowski1.
Abstract
The aim of the study was to analyze the sources of energy, carbohydrates, 10 minerals, and 9 vitamins from nonalcoholic beverages in the average Polish diet. For the analysis, we used data from the 2016 Household Budget Survey conducted on the representative sample of the Polish population (36,886 households, n = 99,230). According to the source of data, we included four subgroups in analyzed food category: fruit juices, vegetable juices and mixed, mineral and spring waters, and other nonalcoholic beverages. We used the cluster analysis to assess the impact of sociodemographic and economic characteristics of the households on the structure of supplying energy and nutrients from each subgroup of the nonalcoholic beverages. Our analyses have shown that nonalcoholic beverages are primarily important in providing several nutrients: vitamin C (15.9% of the total vitamin C supply), vitamin B6 (8.9% of vitamin B supply), folates (8.5% of folate supply), carbohydrates (6.8% of carbohydrate supply), calcium (5.9% of calcium supply), and magnesium (5.5% of magnesium supply). The analysis of the consumption structure of this category of food showed that the subgroup of other nonalcoholic beverages brings more than three-fourth of carbohydrates (77%), vitamin B6 and folates (76% each), and 43% of vitamin C supplied by nonalcoholic beverages. More than half (51%) of vitamin C provided by nonalcoholic beverages comes from fruit juices and the remaining 6% comes from other juices (vegetable and mixed). In the case of minerals, mineral and spring waters consumption is important as it accounts for 65% of the calcium supply and 55% of the magnesium in nonalcoholic beverages category. The share of individual subgroups of beverages in the supply of ingredients in the diet is significantly differentiated by four socioeconomic characteristics of households: family life phase, age, socioeconomic type of household, and number of people in the household. This is particularly evident in the case of other nonalcoholic beverages, that the share of this subgroup in the energy and carbohydrates supply in the households of young people, employees (both blue-collar and white-collar workers), and families with children increases to 10%. Our results show that in order to reduce the intake of free sugars and increase the intake of deficient minerals, which is crucial in preventing noncommunicable diseases (NCDs), it is necessary to encourage consumers to replace sugar-sweetened beverages (SSBs) with water and eat fruits instead of drinking juice.Entities:
Keywords: energy intake; free sugars; households; nonalcoholic beverages; nutrient intake
Mesh:
Substances:
Year: 2020 PMID: 32365534 PMCID: PMC7282011 DOI: 10.3390/nu12051262
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Energy and nutrients supplied by nonalcoholic beverages in the average Polish diet (in %).
| Total Nonalcoholic Beverages | Subgroups | ||||
|---|---|---|---|---|---|
| Fruit Juices | Vegetable Juices and Mixed | Mineral and Spring Water | Other Nonalcoholic Beverages | ||
|
| 3.31 | 0.64 | 0.13 | 0.00 | 2.54 |
| Carbohydrates | 6.80 | 1.27 | 0.27 | 0.00 | 5.26 |
| Calcium | 5.93 | 0.71 | 0.21 | 3.86 | 1.15 |
| Phosphorus | 1.03 | 0.31 | 0.09 | 0.00 | 0.63 |
| Sodium | 1.58 | 0.02 | 0.15 | 1.29 | 0.13 |
| Potassium | 4.45 | 1.76 | 0.46 | 0.09 | 2.14 |
| Iron | 2.59 | 0.87 | 0.26 | 0.10 | 1.35 |
| Magnesium | 5.53 | 1.04 | 0.21 | 3.03 | 1.25 |
| Manganese | 2.55 | 1.02 | 0.24 | 0.00 | 1.30 |
| Iodine | 1.27 | 0.13 | 0.12 | 0.01 | 1.02 |
| Copper | 3.47 | 1.23 | 0.33 | 0.00 | 1.91 |
| Zinc | 1.03 | 0.34 | 0.14 | 0.00 | 0.55 |
| Vitamin A | 3.70 | 0.70 | 2.31 | 0.00 | 0.68 |
| Vitamin E | 2.05 | 0.68 | 0.55 | 0.00 | 0.83 |
| Thiamin | 2.21 | 1.10 | 0.19 | 0.00 | 0.93 |
| Riboflavin | 1.32 | 0.61 | 0.14 | 0.00 | 0.58 |
| Niacin | 1.39 | 0.61 | 0.18 | 0.00 | 0.59 |
| Vitamin B6 | 8.85 | 1.80 | 0.30 | 0.00 | 6.75 |
| Folate | 8.52 | 1.68 | 0.37 | 0.00 | 6.47 |
| Vitamin B12 | 1.99 | 0.16 | 0.00 | 0.00 | 1.83 |
| Vitamin C | 15.85 | 8.08 | 0.95 | 0.00 | 6.82 |
Dependence of cluster analysis on sociodemographic and economic factors of the households.
| Factors | Cramer Correlations |
|---|---|
| Family life phase |
|
| Age |
|
| Socioeconomic group |
|
| Number of people in household |
|
| Sex | 0.093 |
| Education level | 0.080 |
| Self-assessment of financial situation | 0.079 |
| Self-assessment of nutrition in household | 0.074 |
| Usage of agricultural land | 0.070 |
| Region | 0.063 |
| Month of participation in the survey | 0.057 |
| Size of the village | 0.038 |
| Degree of urbanization of place | 0.034 |
| Income (quintile group) | 0.030 |
The most important factors are written in bold.
Cluster description.
| Cluster 1 | Cluster 2 | Cluster 3 | Whole | |
|---|---|---|---|---|
| Number of households in clusters | 18908 | 7031 | 10946 | 36886 |
| Number of people (in %) | 51.3 | 19.0 | 29.7 | 100.0 |
|
| ||||
| Singles and young marriages | 11.8 | 14.3 | 17.2 | 13.9 |
| Families with preschool children | 8.5 | 18.6 | 25.8 | 15.6 |
| Families with school children | 9.6 | 15.8 | 21.6 | 14.3 |
| Families with trainees | 15.9 | 15.9 | 12.7 | 15.0 |
| Older people and older marriages | 25.9 | 18.6 | 12.2 | 20.4 |
| Older people and older marriages and | 28.3 | 16.8 | 10.5 | 20.8 |
|
| ||||
| Less than 30 years | 4.8 | 8.5 | 11.8 | 7.6 |
| 30 – >40 years | 10.9 | 19.6 | 27.7 | 17.5 |
| 40 – >50 years | 13.3 | 19.7 | 24.3 | 17.8 |
| 50 – >60 years | 21.2 | 20.4 | 16.0 | 19.5 |
| 60 – >70 years | 27.3 | 18.8 | 12.7 | 21.3 |
| 70 years and older | 22.5 | 13.1 | 7.5 | 16.2 |
|
| ||||
| Blue-collar workers | 19.6 | 27.2 | 31.2 | 24.5 |
| White-collar workers | 18.6 | 26.2 | 31.9 | 24.0 |
| Farmers | 5.1 | 4.5 | 3.8 | 4.6 |
| Self-employed | 5.5 | 7.4 | 8.7 | 6.8 |
| Pensioners | 39.6 | 25.2 | 16.0 | 29.9 |
| Disability pensioners | 8.0 | 5.4 | 3.9 | 6.3 |
| Living on social benefits | 2.4 | 2.7 | 2.8 | 2.6 |
| Living from other unearned sources | 1.3 | 1.6 | 1.7 | 1.5 |
|
| ||||
| 1 | 25.7 | 16.6 | 14.2 | 20.6 |
| 2 | 38.7 | 30.3 | 24.2 | 32.8 |
| 3 | 16.6 | 22.6 | 23.5 | 19.8 |
| 4 | 11.4 | 19.0 | 24.2 | 16.6 |
| 5 and more | 7.6 | 11.6 | 13.9 | 10.3 |
| Main groups in clusters | Cluster 1 | Cluster 2 | Cluster 3 |
Figure 1Cluster analysis: supply of energy and analyzed nutrients (in %) from the subgroup of fruit juices to diets in individual clusters. 1, 2, 3—number of clusters; characteristics of clusters are presented in Table 3.
Figure 2Cluster analysis: supply of energy and analyzed nutrients (in %) from the subgroup of vegetable juices and mixed to diets in individual clusters. 1, 2, 3—number of clusters; characteristics of clusters are presented in Table 3.
Figure 3Cluster analysis: supply of energy and analyzed nutrients (in %) from the subgroup of other nonalcoholic beverages to diets in individual clusters. 1, 2, 3—number of clusters; characteristics of clusters are presented in Table 3.
Figure 4Cluster analysis: supply of energy and nutrients (in %) from the subgroup of mineral and spring water to diets in individual clusters (the graph shows only the nutrients present in waters). 1, 2, 3—number of clusters; characteristics of clusters are presented in Table 3.