Table 3.
Adjusted means for percentage expenditure on food categories of shoppers residing in different socio-economic area (SEA)
| Variables | Low SEAs n 204 |
Middle SEAs n 120 |
High SEA n 71 |
|---|---|---|---|
| Average grocery expenditure (ZAR) | 410·3 ± 28·3 | 412·7 ± 35·6 | 681·8 ± 48·6a |
| Average food expenditure (ZAR) | 348·2 ± 26·0 | 328·9 ± 32·7 | 511·9 ± 44·8a |
| Food categories | |||
| Fruits | 1·5 ± 0·4 | 2·2 ± 0·5 | 4·6 ± 0·6a |
| Vegetables | 3·0 ± 0·4ab | 2·5 ± 0·5b | 4·4 ± 0·6a |
| Meat | 7·4 ± 0·7 | 6·1 ± 0·9 | 6·6 ± 1·3 |
| Fish | 1·3 ± 0·3ab | 1·8 ± 0·4b | 0·6 ± 0·5a |
| Egg | 1·2 ± 0·3 | 1·7 ± 0·4 | 1·8 ± 0·5 |
| Processed protein | 2·0 ± 0·4 | 2·7 ± 0·5 | 3·0 ± 0·7 |
| Dairy | 5·7 ± 0·6 | 5·3 ± 0·7 | 6·2 ± 1·0 |
| Bread | 2·0 ± 0·3 | 2·3 ± 0·3 | 2·1 ± 0·5 |
| Grains and potatoes | 8·8 ± 0·6a | 5·7 ± 0·7 | 4·2 ± 1·0 |
| Dry legumes | 2·1 ± 0·3 | 1·0 ± 0·4 | 0·7 ± 0·5 |
| Snacks | 6·6 ± 0·9 | 13·4 ± 1·1a | 7·9 ± 1·6 |
| SSB | 5·2 ± 0·5 | 5·1 ± 0·6 | 5·6 ± 0·8 |
| Oil, creams and spread | 4·6 ± 0·4 | 3·5 ± 0·5 | 3·4 ± 0·7 |
| Water | 0·4 ± 0·3 | 0·2 ± 0·3 | 0·2 ± 0·5 |
| Alcohol | 0·6 ± 0·4 | 0·2 ± 0·5 | 2·2 ± 0·7a |
| Spice and condiments | 2·8 ± 0·4 | 2·4 ± 0·5 | 3·3 ± 0·7 |
| Tea and coffee | 1·1 ± 0·4 | 0·9 ± 0·5 | 1·1 ± 0·6 |
| Non-food item | 11·6 ± 1·3 | 14·9 ± 1·6 | 15·0 ± 2·2 |
| Uncategorised items | 3·6 ± 0·5 | 2·9 ± 0·6 | 2·0 ± 0·8 |
SSB, sugar-sweetened beverages.
Values of adjusted means in the same row with different superscript (a, b) are significantly different (P < 0·05).
Adjusted for age, shopping pattern, food security status and transport mode to shop.
Mean and SE determined through ANOVA.