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. 2023 Feb 6;15(4):831. doi: 10.3390/nu15040831

Table 3.

Mean sodium intakes [mg/day ± SE (n)] by top sodium-contributing categories, NHANES 2017–2018, for the total sample and by sub-groups, per capita (full sample) 1.

Food Categories 2
n Pizza Breads, Rolls and Buns Cold Cuts and Cured Meats (Excluding Sandwiches) Soups Burritos and Tacos Savory Snacks (e.g., Chips, Crackers, Popcorn) Poultry (Excluding Nuggets and Tenders) Cheese (Including Cottage and Ricotta) Pasta Mixed Dishes, Excludes Macaroni and Cheese Burgers Meat Mixed Dishes Cookies, Brownies and Cakes Bacon, Frankfurters and Sausages (Excluding Sandwiches) Vegetables (Excluding White Potatoes) Chicken Nuggets and Tenders
Total sample 7081 178 ± 10.4 157.6 ± 5.39 155 ± 9.25 147 ± 9.02 145 ± 9.42 140 ± 5.09 136 ± 7.05 105 ± 4.95 98.2 ± 6.69 85.3 ± 5.08 83.6 ± 8.11 82.3 ± 3.86 80.8 ± 6.40 52.3 ± 3.94 73.4 ± 3.41
Household income 3
Low 2029 180 ± 18.4 132 ± 6.96 109 ± 10.5 154 ± 19.5 162 ± 16.4 122 ± 6.47 143 ± 14.7 98.6 ± 7.64 107 ± 13.7 97.2 ± 8.55 57.3 ± 12.1 77.2 ± 8.51 72.4 ± 9.64 76.5 ± 11.2 51.1 ± 3.75
Middle 2545 194 ± 17.8 155 ± 8.26 181 ± 16.9 135 ± 12.3 143 ± 15.6 156 ± 9.59 117 ± 10.3 103 ± 7.54 81.9 ± 8.30 88.9 ± 9.13 94.7 ± 14.6 90.4 ± 7.90 80.8 ± 11.4 49.6 ± 5.67 72.8 ± 5.53
High 754 186 ± 31.3 176 ± 16.1 186 ± 33.3 117 ± 19.7 131 ± 26.9 123 ± 13.1 138 ± 23.6 107 ± 18.1 121 ± 23.4 77.8 ± 14.9 98.4 ± 19.6 83.5 ± 8.82 103 ± 27.8 51.2 ± 12.4 77.6 ± 10.6
Race/Ethnicity
White 2479 178 ± 15.5 167 ± 8.2 184 ± 14.2 126 ± 13.3 109 ± 12.5 155 ± 7.93 106 ± 9.49 120 ± 7.62 97.2 ± 9.34 91.2 ± 7.71 104 ± 13.2 82.4 ± 5.58 92.4 ± 10.2 53.0 ± 5.98 73.7 ± 5.28
Black 1646 166 ± 16.3 120 ± 7.0 129 ± 16.7 88.2 ± 10.2 110 ± 15.9 154 ± 8.22 254 ± 17.3 86.9 ± 7.60 113 ± 13.1 95.1 ± 9.92 46.2 ± 8.02 88.6 ± 8.30 87.6 ± 6.53 84.4 ± 10.4 74.9 ± 5.38
Hispanic 1627 193 ± 21.3 131 ± 8.3 105 ± 12.6 212 ± 19.1 314 ± 27.5 108 ± 7.23 147 ± 16.7 86.4 ± 7.41 73.4 ± 10.2 74.0 ± 7.75 40.4 ± 6.68 73.1 ± 5.74 55.3 ± 8.50 33.7 ± 5.03 59.8 ± 4.53
Asian 853 139 ± 20.7 216 ± 16.0 75.2 ± 15.9 319 ± 33.3 81.3 ± 17.2 72.8 ± 6.41 163 ± 21.6 42.1 ± 6.20 55.9 ± 8.91 37.3 ± 10.7 66.7 ± 12.2 71.2 ± 6.37 36.3 ± 7.03 31.2 ± 8.97 114 ± 9.30
“Other” 476 197 ± 38.4 164 ± 24.6 142 ± 39.9 115 ± 24.1 136 ± 33.7 128 ± 17.3 154 ± 31.9 112 ± 19.2 199 ± 50.0 86.0 ± 19.9 99.5 ± 21.4 109 ± 24.0 69.5 ± 18.2 57.8 ± 11.6 69.1 ± 12.5
Dietary Reference Intakes Age–Sex Groupings
>1 y 299 103 ± 23.4 72.0 ± 9.72 51.2 ± 11.9 56.6 ± 12.3 74.6 ± 32.3 140 ± 17.3 53.4 ± 9.42 102 ± 13.8 54.3 ± 12.4 18.6 ± 6.07 24.0 ± 8.39 56.5 ± 8.30 82.5 ± 18.7 99.1 ± 16.5 33.4 ± 5.87
4–8 y 623 180 ± 23.3 114 ± 9.25 126 ± 22.1 72.3 ± 12.4 76.2 ± 17.5 162 ± 13.0 83.6 ± 10.4 98.0 ± 9.49 74.4 ± 11.4 49.2 ± 8.66 40.3 ± 12.9 93.2 ± 8.79 54.6 ± 8.84 86.1 ± 12.0 30.9 ± 3.66
9–13 y males 328 300 ± 52.7 140 ± 14.9 115 ± 22.0 70.3 ± 15.0 199 ± 50.4 271 ± 39.1 111 ± 30.9 86.0 ± 15.3 96.0 ± 26.5 58.2 ± 14.6 29.8 ± 10.4 82.3 ± 10.9 78.2 ± 14.3 89.0 ± 25.0 29.4 ± 6.02
9–13 y females 353 257 ± 45.0 116 ± 14.8 88.2 ± 19.9 107 ± 22.7 60.7 ± 14.1 185 ± 23.8 103 ± 20.5 93.9 ± 15.9 111 ± 23.9 45.4 ± 10.1 51.6 ± 16.8 106 ± 12.9 42.4 ± 9.57 83.5 ± 19.3 40.7 ± 6.44
14–18 y males 341 369 ± 62.6 175 ± 32.3 248 ± 66.2 154 ± 40.7 143 ± 34.5 205 ± 25.1 184 ± 48.3 92.7 ± 18.2 119 ± 26.5 157 ± 25.8 50.0 ± 18.0 79.5 ± 17.8 53.8 ± 14.4 119 ± 23.8 25.6 ± 5.34
14–18 y females 323 206 ± 39.8 148 ± 21.0 106 ± 30.1 99.8 ± 19.8 115 ± 34.3 169 ± 23.5 207 ± 39.1 77.7 ± 15.1 74.4 ± 19.1 58.9 ± 12.7 28.3 ± 12.6 75.0 ± 12.9 35.1 ± 10.4 87.8 ± 24.5 43.0 ± 8.08
19–30 y males 422 295 ± 52.8 134 ± 16.7 254 ± 50.1 73.6 ± 21.5 314 ± 49.1 137 ± 16.0 172 ± 34.9 87.8 ± 12.8 118 ± 25.5 145 ± 22.3 101 ± 23.2 29.9 ± 4.96 84.8 ± 18.8 101 ± 26.5 55.7 ± 9.65
19–30 y females 436 175 ± 31.6 110 ± 12.7 86.6 ± 19.1 99.6 ± 23.8 186 ± 36.4 129 ± 17.6 131.4 ± 17.4 111 ± 15.3 116 ± 24.3 65.8 ± 12.8 88.4 ± 18.3 58.9 ± 11.3 93.0 ± 39.1 73.1 ± 16.2 86.9 ± 10.0
31–50 y males 677 253 ± 37.7 187 ± 19.9 173 ± 31.4 226 ± 40.8 273 ± 43.0 130 ± 14.6 230 ± 32.0 129 ± 21.4 88.7 ± 22.6 150 ± 21.9 51.0 ± 9.57 89.5 ± 14.6 108 ± 19.7 36.7 ± 12.2 78.8 ± 10.7
31–50 y females 744 145 ± 27.2 148 ± 17.4 106 ± 17.2 138 ± 20.8 153 ± 29.0 122 ± 15.8 123 ± 15.9 102 ± 9.89 72.3 ± 11.9 68.3 ± 13.6 60.6 ± 19.4 76.9 ± 10.8 93.6 ± 30.4 29.8 ± 6.78 106 ± 15.3
51–70 y males 876 151 ± 35.2 215 ± 17.9 233 ± 37.3 170 ± 28.5 114 ± 22.5 160 ± 20.8 149 ± 21.4 132 ± 19.1 144 ± 30.8 98.3 ± 16.0 117 ± 32.4 114 ± 15.3 99.1 ± 14.1 20.5 ± 6.46 79.6 ± 10.5
51–70 y females 900 91.3 ± 24.4 160 ± 17.4 112 ± 16.5 178 ± 26.9 61.6 ± 12.4 103 ± 9.94 94.6 ± 12.6 101 ± 15.5 91.7 ± 17.1 65.5 ± 14.0 131 ± 38.1 73.5 ± 12.2 51.8 ± 8.08 26.6 ± 7.63 89.9 ± 10.4
>70 y males 390 84.5 ± 33.8 204 ± 19.6 262 ± 57.1 243 ± 54.6 29.3 ± 9.52 87.8 ± 11.0 86.2 ± 21.3 71.0 ± 10.1 82.1 ± 25.5 68.3 ± 18.9 163 ± 45.0 132 ± 14.5 102 ± 24.5 28.9 ± 11.5 72.9 ± 10.3
>70 y females 369 29.0 ± 9.98 172 ± 14.9 152 ± 27.1 191 ± 40.8 42.1 ± 16.6 126 ± 19.3 85.6 ± 16.1 107 ± 15.5 94.0 ± 21.9 32.6 ± 9.63 110 ± 28.2 99.0 ± 11.9 79.4 ± 18.9 17.0 ± 6.71 104 ± 10.9

1 Means ± SE were generated using a PROC SURVEYMEANS procedure in SAS 9.4. All estimates were generated from one 24 h dietary recall and survey weighted to be representative at the population level. Standard errors were computed using the Taylor series linearization method to account for the complex survey design of NHANES. 2 This analysis used 87 food categories, which were adapted from What We Eat In America (https://www.cdc.gov/nchs/nhanes/wweia.htm) (accessed on 5 December 2020). Food categories are ranked in descending order by population proportion among the total sample aged >1 y, excluding pregnant and lactating women (n = 7081). 3 Poverty-to-income ratio (PIR) was used to define household income. PIR ≤ 180% was considered “low” income, 180 < PIR ≤ 350 was considered “middle” income and PIR > 350 was considered “high” income.