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. 2016 Oct 5;11(10):e0164127. doi: 10.1371/journal.pone.0164127

Table 3. Association of each food group consumed by the total population in the Health Survey of São Paulo (2008) on body mass index category assessed using logistic regression models.

Food groups Crude model Adjusted model 1a Adjusted model 2b
OR 95% CI P OR 95% CI p OR 95% CI P
Alcoholic beverages 0.996 (0.990, 1.003) 0.273 0.994 (0.985, 1.003) 0.174 0.996 (0.987, 1.005) 0.397
Beans 0.986 (0.964, 1.007) 0.192 0.997 (0.973, 1.021) 0.814 1.013 (0.987, 1.038) 0.324
Breads and rolls 0.968 (0.924, 1.012) 0.151 0.980 (0.932, 1.029) 0.427 1.004 (0.953, 1.055) 0.874
Butter and margarine 0.880 (0.734, 1.029) 0.113 0.903 (0.745, 1.064) 0.238 1.018 (0.848, 1.191) 0.837
Cakes 1.002 (0.927, 1.077) 0.963 1.019 (0.934, 1.105) 0.660 1.023 (0.936, 1.111) 0.602
Cheese 1.061 (0.972, 1.015) 0.181 1.075 (0.972, 1.178) 0.154 1.082 (0.976, 1.188) 0.129
Coffe and tea 1.001 (0.987, 1.015) 0.866 1.000 (0.986, 1.015) 0.954 1.006 (0.990, 1.021) 0.453
Cold Cuts 1.042 (0.889, 1.020) 0.596 1.006 (0.844, 1.171) 0.939 1.039 (0.896, 1.216) 0.666
Eggs 0.962 (0.853, 1.073) 0.503 0.948 (0.820, 1.077) 0.426 0.972 (0.841, 1.106) 0.682
Fruit juices 1.015 (0.996, 1.034) 0.123 1.017 (0995, 1.039) 0.134 1.022 (0.999, 1.045) 0.062
Fruits 1.008 (0.992, 1.025) 0.322 1.006 (0.989, 1.023) 0.510 1.012 (0.994, 1.031) 0.180
Industrialized juices 1.007 (0.985, 1.030) 0.549 1.019 (0.993, 1.045) 0.145 1.023 (0.997, 1.050) 0.085
Leafy vegetables 1.044 (0.989, 1.099) 0.113 1.045 (0.991, 1.100) 0.105 1.050 (0.992, 1.108) 0.089
Milk 1.002 (0.990, 1.015) 0.722 0.999 (0.985, 1.013) 0.923 1.005 (0.991, 1.019) 0.502
Pasta 0.999 (0.982, 1.017) 0.922 1.000 (0.981, 1.020) 0.994 1.005 (0.985, 1.025) 0.608
Pizza 1.024 (0.983, 1.065) 0.252 1.041 (0.993, 1.088) 0.092 1.052 (1.007, 1.103) 0.047
Red meat 1.005 (0.985, 1.025) 0.607 1.012 (0.989, 1.035) 0.306 1.028 (1.003, 1.052) 0.028
Rice 1.005 (0.991, 1.018) 0.477 1.010 (0.995, 1.026) 0.186 1.031 (1.014, 1.048) 0.000
Salted snacks 1.058 (1.002, 1.114) 0.041 1.069 (1.003, 1.136) 0.041 1.074 (1.007, 1.141) 0.030
Soft drinks 1.004 (0.994, 1.013) 0.449 1.011 (1.000, 1.022) 0.053 1.016 (1.004, 1.028) 0.009
Soups 1.002 (0.986, 1.019) 0.792 1.000 (0.980, 1.018) 0.926 1.005 (0.984, 1.025) 0.662
Sugar 0.876 (0.706, 1.048) 0.158 0.856 (0.679, 1.035) 0.115 0.909 (0.734, 1.087) 0.313
Sweets 0.991 (0.959, 1.024) 0.600 0.994 (0.958, 1.031) 0.756 1.008 (0.969, 1.046) 0.703
Toast and Biscuits 0.964 (0.895, 1.034) 0.318 1.005 (0.931, 1.080) 0.886 1.021 (0.945, 1.097) 0.595
Tubers and Roots 1.004 (0.982, 1.027) 0.717 1.002 (0.979, 1.026) 0.843 1.009 (0.984, 1.034) 0.469
Vegetables 1.002 (0.979, 1.026) 0.849 1.007 (0.981, 1.033) 0.582 1.010 (0.984, 1.037) 0.454
White meat 0.988 (0.967, 1.010) 0.280 0.988 (0.965, 1.012) 0.332 0.995 (0.971, 1.019) 0.689

OR, estimated regression coefficient for 10 grams of each food group; 95% CI, 95% Confidence Interval

a Adjusted model 1: models adjusted for age, per capita family income, physical activity level, dietary energy density, and gender.

b Adjusted model 2: models adjusted for age, per capita family income, physical activity level, dietary energy density, gender, and misreporting.