| Literature DB >> 31805745 |
Hanna Górska-Warsewicz1, Krystyna Rejman1, Wacław Laskowski1, Katarzyna Kowalcze2.
Abstract
The aim of this study was to identify the food sources of potassium in the average Polish diet based on the data from the 2016 Household Budget Survey conducted on the representative sample of the Polish population (36,886 households, n = 99,230). This survey is organized by the Central Statistical Office and is related to the expenditures, quantitative consumption and revenues in households. We analyzed 91 sub-groups (i.e., milk, red meat) from 13 food categories (i.e., milk and dairy products, meat and products). Our findings indicated that the daily supply of potassium in the average Polish diet was 2617.9 mg, which meant covering the average allowance in 83%. Vegetables provided 32.5% of potassium, of which potatoes accounted for 16.2% of supply, and other vegetables for 16.2%. Tomatoes as well as other vegetables and mushrooms provided a total of 8.2% of potassium among vegetables. The next position was taken by the meat and meat products category (17.7%), with the largest share of meat products (6.7%) and red meat (5.2%). Cereal products supplied 16.64% of potassium, of which bread, rolls and bread products (12.2%) were of the greatest importance. Milk and dairy products turned out to be the fourth product category as a source of potassium (11.9%), with the highest share of milk (6.8%) and yoghurts and milk drinks (3.9%).Entities:
Keywords: food sources; nutrient intake; potassium intake
Year: 2019 PMID: 31805745 PMCID: PMC6950722 DOI: 10.3390/nu11122905
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Food grouping for the purpose of food sources analysis.
| Food Categories | Main Food Groups | Sub-Groups/Food Products |
|---|---|---|
| GRAIN PRODUCTS | bread, rolls, bread products | (1) bread and rolls |
| rice, cooked grains | (3) rice | |
| flour, bran, cooking ingredients | (6) wheat flour | |
| pizza, pasta, and other flour dishes | (8) pasta | |
| ready-to-eat cereal | (12) breakfast cereals | |
| MEAT AND MEAT PRODUCTS | red meat | (1) beef |
| meat products | (5) processed red meat products | |
| other meat | (8) liver organ meat | |
| poultry | (11) chicken | |
| MILK AND DAIRY PRODUCTS | milk | (1) milk, whole |
| cheese | (4) cheeses | |
| cottage cheese | (5) cottage cheeses | |
| yoghurts and milk drinks | (6) yogurts | |
| SEAFOOD | fish | (1) fresh, chilled or frozen fish |
| shellfish | (2) fresh, chilled or frozen shellfish | |
| processed seafood | (3) dried, smoked and salted seafood | |
| EGGS | eggs | (1) eggs |
| FATS AND OILS | butter | (1) butter |
| olive oils | (2) olive oil | |
| other fats | (4) margarine and other plant fats | |
| sour cream | (6) cream | |
| FRUITS | fruits | (1) apples |
| dried fruits and nuts | (9) dried fruits and nuts | |
| VEGETABLES | potatoes | (1) potatoes |
| vegetables (excluding potatoes) | (3) beetroot | |
| SNACKS AND SWEETS | chocolate | (1) chocolate |
| desserts | (4) ice-cream | |
| snacks | (5) chips | |
| sweet bakery products | (6) cakes and pies | |
| SUGARS | honey | (1) honey |
| jams, syrups, marmalade | (2) jams | |
| sugar | (5) sugar | |
| sugar substitutes | (6) sugar substitutes | |
| BEVERAGES, NONALCOHOLIC | juices | (1) fruit juices |
| other beverages | (4) other nonalcoholic beverages | |
| water | (5) water | |
| COFFEE, TEA | coffee | (1) coffee |
| tea | (2) tea | |
| ALCOHOLIC BEVERAGES | wine | (1) wine |
| beer | (3) beer, lager | |
| other alcoholic beverages | (6) liquor and cocktail |
Sample characteristics.
| Specification | Structure in % |
|---|---|
|
| |
| women | 52.4 |
| men | 47.7 |
|
| |
| 18– >30 years | 7.6 |
| 30– > 40 years | 17.5 |
| 40– >50 years | 17.8 |
| 50– >60 years | 19.5 |
| 60– >70 years | 21.3 |
|
| |
| 1 | 20.6 |
| 2 | 32.8 |
| 3 | 19.8 |
| 4 | 16.6 |
| 5 and above | 10.3 |
|
| |
| higher | 18.9 |
| secondary vocational or post-secondary | 21.8 |
| secondary general | 9.6 |
| basic vocational | 27.4 |
| lower secondary | 5.1 |
| primary | 17.5 |
|
| |
| Singles, young marriages | 13.9 |
| Families with preschool children | 15.6 |
| Families with school children | 14.4 |
| Families with trainees | 15.0 |
| People, older marriages, professionally active | 20.4 |
| People, older marriages, professionally inactive | 20.8 |
|
| |
| 1 (20% of people with the lowest income) | 20.0 |
| 2 | 20.0 |
| 3 | 20.0 |
| 4 | 20.0 |
| 5 (20% of people with the highest income) | 20.0 |
|
| |
| employees in worker positions | 24.5 |
| employees in non-worker positions | 24.0 |
| farmers | 4.6 |
| self-employed | 6.8 |
| pensioners | 29.9 |
| disability pensioners | 6.3 |
| living on social benefits | 2.6 |
| living on other unearned sources | 1.5 |
|
| |
| good | 13.1 |
| rather good | 19.8 |
| average, neither good nor bad | 54.3 |
| rather bad | 9.5 |
| bad | 3.4 |
|
| |
| good | 46.7 |
| rather good | 28.4 |
| average, neither good nor bad | 22.8 |
| rather bad | 1.6 |
| bad | 0.5 |
Potassium supply and sources of potassium contribution from food categories to the average Polish diet (in % of total potassium contribution).
| Specification | Potassium |
|---|---|
|
|
|
|
|
|
|
|
|
|
| |
| Vegetables | 32.47 |
| Meat and meat products | 17.69 |
| Cereal products | 16.63 |
| Milk and dairy products | 11.87 |
| Fruits | 8.59 |
| Nonalcoholic beverages | 4.45 |
| Snacks, sweets ad sugars | 4.21 |
| Seafood | 1.39 |
| Eggs | 1.16 |
Categories with a share of more than 1% in potassium supply are shown. The aggregate data are bold.
Sources of potassium contribution from vegetables to the average Polish diet (in % of total potassium contribution).
| Specification | Share of Potassium Intake |
|---|---|
|
|
|
| |
|
| potatoes | 15.07 |
| potato products | 1.16 |
| |
|
| other vegetables and mushrooms | 5.15 |
| tomatoes | 3.05 |
| vegetable and mushroom products | 1.99 |
| carrot | 1.36 |
| cabbage | 1.22 |
| beetroot | 0.66 |
| cucumber | 0.59 |
| onions | 0.58 |
| frozen vegetables and mushrooms | 0.57 |
| sour cabbage | 0.47 |
| cauliflower | 0.31 |
| lettuce | 0.26 |
Products providing more than 0.1% are included. The aggregate data are bold.
Sources of potassium contribution from meat and meat products to the average Polish diet (in % of total potassium contribution).
| Specification | Share of Potassium Intake |
|---|---|
|
|
|
| |
|
| processed red meat products | 4.88 |
| other meat products | 0.95 |
| processed poultry products | 0.85 |
| |
|
| liver and other offal | 0.61 |
| minced meat | 0.15 |
| |
|
| chicken | 4.27 |
| other poultry | 0.76 |
| |
|
| pork | 4.78 |
| beef | 0.37 |
Products providing more than 0.1% are included. The aggregate data are bold.
Sources of potassium contribution from cereal products to the average Polish diet (in % of total potassium contribution).
| Specification | Share of Potassium Intake |
|---|---|
|
|
|
| |
|
| bread and rolls | 10.11 |
| quick breads, bread products | 2.08 |
| |
|
| wheat flour | 1.31 |
| |
|
| pasta, macaroni, noodle | 1.01 |
| pizza and other flour dishes | 0.36 |
| |
|
| breakfast cereals | 0.85 |
| |
|
| groats and cereal grains | 0.53 |
| rice | 0.35 |
Products providing more than 0.1% are included. The aggregate data are bold.
Sources of potassium contribution from milk and dairy products to the average Polish diet (in % of total potassium contribution).
| Specification | Share of Potassium Intake |
|---|---|
|
|
|
| |
|
| cheeses | 0.57 |
| cottage cheese | 0.64 |
| |
|
| condensed and powdered milk | 0.23 |
| milk, reduced fat | 2.47 |
| milk, whole | 4.11 |
| |
|
| milk shakes and other dairy drinks | 2.30 |
| yogurts | 1.55 |
Products providing above 0.1% included. The aggregate data are bold.
Sources of potassium contribution from fruits to the average Polish diet (in % of total potassium contribution).
| Specification | Share of Potassium Intake |
|---|---|
|
|
|
| |
|
| dried fruits and nuts | 0.99 |
| |
|
| bananas | 2.13 |
| apples | 1.43 |
| citrus fruits | 1.28 |
| berries | 1.01 |
| peaches and nectarines | 0.84 |
| other fruits | 0.77 |
| fruits products | 0.11 |
Products providing more than 0.1% are included. The aggregate data are bold.
Cluster analysis: Impact of socio-demographic and economic factors on potassium contribution to the average Polish diet.
| Factors | Cramer Correlations |
|---|---|
| number of people in household | 0.284 |
| family life phase | 0.224 |
| age | 0.175 |
| income (quintile group) | 0.170 |
| socio-economic affiliation | 0.145 |
| month of study | 0.098 |
| sex | 0.088 |
| region | 0.053 |
| education level | 0.041 |
| land use | 0.028 |
| assessment of financial situation | 0.028 |
| assessment of nutrition | 0.020 |
| size of the village | 0.016 |
| degree of urbanization of place of household living | 0.015 |
Cluster analysis: level of potassium contribution by clusters.
| Specification | Cluster 1 | Cluster 2 | Cluster 3 | Whole Sample |
|---|---|---|---|---|
| Number of households | 9406 | 12,947 | 14,533 | 36,886 |
| Potassium contribution | below 2000 mg | 2000–3000 mg | above 3000 mg | 2617.93 mg |
|
| ||||
| Vegetables | 26.8 | 33.0 | 38.7 | 32.5 |
| (including potatoes) | 10.9 | 15.8 | 19.4 | 15.1 |
| Meat and meat products | 19.0 | 17.6 | 16.2 | 17.7 |
| Cereal products | 19.0 | 16.4 | 14.0 | 16.7 |
| Milk and dairy products | 13.0 | 11.9 | 10.5 | 11.9 |
| Fruits | 8.0 | 8.4 | 9.5 | 8.6 |
| Nonalcoholic beverages | 5.1 | 4.4 | 3.7 | 4.5 |
| Snacks, sweets ad sugars | 4.7 | 4.2 | 3.5 | 4.2 |
| Seafood | 1.4 | 1.4 | 1.4 | 1.4 |
| Eggs | 1.2 | 1.2 | 1.1 | 1.2 |
Cluster analysis: structure of clusters by 5 factors with highest Cramer Correlations.
| Specification | Cluster 1 | Cluster 2 | Cluster 3 | Whole Sample |
|---|---|---|---|---|
|
| 25.5 | 35.1 | 39.4 | 100.0 |
|
| ||||
| 1 | 7.6 | 14.7 | 34.2 | 20.6 |
| 2 | 21.9 | 33.0 | 39.6 | 32.8 |
| 3 | 23.6 | 22.6 | 14.9 | 19.8 |
| 4 | 27.2 | 19.1 | 7.5 | 16.6 |
| 5 and above | 19.7 | 10.6 | 3.8 | 10.3 |
|
| ||||
| Singles, young marriages | 11.3 | 13.6 | 15.8 | 13.9 |
| Families with preschool children | 25.8 | 17.2 | 7.5 | 15.6 |
| Families with school children | 22.5 | 16.3 | 7.4 | 14.4 |
| Families with adult children | 15.9 | 15.1 | 14.2 | 15.0 |
| People, older marriages, professionally active | 13.0 | 18.8 | 26.7 | 20.4 |
| People, older marriages, professionally inactive | 11.5 | 19.0 | 28.5 | 20.8 |
|
| ||||
| 18 – >30 years | 10.0 | 7.8 | 5.9 | 7.6 |
| 30 – >40 years | 25.8 | 18.9 | 11.0 | 17.5 |
| 40 – >50 years | 23.2 | 19.1 | 13.0 | 17.8 |
| 50 – >60 years | 17.2 | 19.3 | 21.2 | 19.5 |
| 60 – >70 years | 13.0 | 19.5 | 28.4 | 21.3 |
| 70 years and older | 10.7 | 15.5 | 20.5 | 16.2 |
|
| ||||
| 1 (20% of people with the lowest income) | 30.8 | 20.9 | 12.2 | 20.0 |
| 2 | 24.1 | 21.1 | 16.4 | 20.0 |
| 3 | 18.5 | 20.4 | 20.6 | 20.0 |
| 4 | 15.0 | 19.7 | 23.5 | 20.0 |
| 5 (20% of people with the highest income) | 11.7 | 17.9 | 27.3 | 20.0 |
|
| ||||
| employees in worker positions | 32.3 | 25.7 | 18.4 | 24.5 |
| employees in non-worker positions | 27.1 | 25.2 | 20.9 | 24.0 |
| farmers | 3.6 | 5.0 | 4.9 | 4.6 |
| self-employed | 8.4 | 6.9 | 5.6 | 6.8 |
| pensioners | 19.1 | 28.1 | 38.4 | 29.9 |
| disability pensioners | 4.6 | 5.4 | 8.1 | 6.3 |
| living on social benefits | 3.3 | 2.5 | 2.2 | 2.6 |
| living from other unearned sources | 1.7 | 1.3 | 1.6 | 1.5 |