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. 2019 Sep 2;23(2):193–201. doi: 10.1017/S1368980019002374

Table 4.

Percentage contribution (mean) of food groups to daily total energy intake in women, according to household composition and tertile of per capita household income. Brazilian National Dietary Survey, Brazil, 2008–2009

Adults living alone or with other adults (n 1062) Adults living with children
(n 1310)
Adults living with adolescents
(n 1157)
Income tertile Income tertile Income tertile
Food group 1 2 3 P * 1 2 3 P * 1 2 3 P *
Alcoholic beverages 0·1 0·7 2·5 <0·001 0·2 0·7 0·8 0·01 0·3 0·3 1·1 <0·001
Beans 9·5 8·4 6·3 <0·001 9·8 7·5 6·0 <0·001 10·9 8·5 7·0 <0·001
Breads 3·4 3·3 2·9 <0·001 3·5 3·5 2·9 <0·001 3·7 3·6 3·3 <0·001
Broth/soups 2·3 4·8 4·0 <0·001 4·5 3·1 3·4 <0·001 4·3 3·9 4·1 0·10
Coffee/tea 18·1 16·7 12·8 <0·001 15·0 12·5 10·0 <0·001 17·2 15·1 13·3 <0·001
Fast foods 0·4 0·7 1·9 <0·001 0·6 1·0 2·1 <0·001 0·5 1·1 1·7 <0·001
Fish & seafood 2·4 1·8 1·4 0·47 2·3 1·5 1·1 <0·001 2·8 1·7 1·6 <0·001
Fruits 4·6 5·2 6·5 <0·001 4·1 5·3 5·5 <0·001 3·5 5·2 7·2 <0·001
Meat & meat preparations 4·2 5·0 3·9 <0·001 3·3 4·4 3·6 0·04 3·8 4·4 3·4 0·04
Milk 3·2 4·3 6·3 <0·001 3·2 4·0 7·0 <0·001 3·0 3·8 4·8 <0·001
Other drinks 2·2 3·4 6·2 <0·001 2·9 4·2 6·5 <0·001 1·8 3·5 5·4 <0·001
Pastas 2·5 2·2 1·9 0·41 2·3 2·8 1·8 <0·001 1·8 2·2 1·9 0·77
Poultry & poultry preparations 2·6 2·2 2·3 0·12 2·9 2·2 2·5 0·04 2·4 2·6 2·4 0·96
Rice 6·3 7·9 6·6 <0·001 8·8 7·8 5·9 <0·001 9·5 8·2 6·8 <0·001
Roots & tubers 1·7 1·3 0·9 <0·001 1·1 1·1 1·3 <0·001 1·6 1·6 1·0 <0·001
Sugar-sweetened beverages 6·9 7·5 10·0 0·99 7·4 9·6 10·7 <0·001 6·3 7·8 10·4 <0·001
Sweets & desserts 1·5 2·5 3·4 <0·001 2·2 3·0 4·2 <0·001 2·1 2·4 3·9 <0·001
Vegetables 0·6 2·1 2·6 <0·001 1·3 1·8 2·4 <0·001 1·2 1·6 2·9 <0·001
*

P value of age-adjusted linear trend.