Table 4.
Sex-stratified adjusted intakes of macronutrients in Mexican adults by diabetes status (n = 2762) a.
| Variables | Men | Women | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Diabetes | Non-Diabetes | Diabetes | Non-Diabetes | |||||||||
| N | 82 | 1060 | 159 | 1461 | ||||||||
| Mean | 95% CI | Mean | 95% CI | Diff Diab vs Non-Diab | p-Value | Mean | 95% CI | Mean | 95% CI | Diff Diab vs. Non-Diab | p-Value | |
| Macronutrients (Intake Per Day) | ||||||||||||
| Total protein (g/1000 kcal) | 33.6 | 31.9, 35.2 | 31.0 | 30.4, 31.6 | 2.6 | 0.010 | 33.2 | 31.7, 34.6 | 31.7 | 31.1, 32.3 | 1.5 | 0.067 |
| Total carbohydrates (g/1000 kcal) | 137.1 | 130.9, 143.2 | 144.2 | 142.0, 146.4 | −7.1 | 0.038 | 145.8 | 139.6, 152.0 | 148.9 | 147.1, 150.8 | −3.1 | 0.354 |
| Fiber (g/1000 kcal) | 14.0 | 13.0, 14.9 | 13.0 | 12.7, 13.3 | 1.0 | 0.055 | 14.2 | 13.3, 15.1 | 14.0 | 13.7, 14.3 | 0.2 | 0.699 |
| Total sugars (g/1000 kcal) | 52.3 | 46.9, 57.7 | 56.0 | 54.1, 57.9 | −3.7 | 0.187 | 55.1 | 50.3, 59.9 | 60.8 | 58.8, 62.9 | −5.7 | 0.041 |
| Added sugars (g/1000 kcal) | 24.9 | 20.6, 29.2 | 34.7 | 32.8, 36.6 | −9.8 | 0.000 | 26.8 | 22.0, 31.6 | 35.0 | 32.9, 37.1 | −8.2 | 0.003 |
| Total fatty acids (g/1000 kcal) | 34.2 | 32.2, 36.3 | 32.1 | 31.5, 32.8 | 2.1 | 0.059 | 32.9 | 30.9, 34.9 | 32.8 | 32.1, 33.4 | 0.1 | 0.938 |
| Saturated fatty acids (g/1000 kcal) | 12.9 | 11.7, 14.1 | 11.5 | 11.2, 11.8 | 1.4 | 0.025 | 12.8 | 11.6, 13.9 | 12.1 | 11.9, 12.4 | 0.7 | 0.322 |
| Monounsaturated fatty acids (g/1000 kcal) | 12.0 | 11.0, 13.0 | 11.1 | 10.8, 11.3 | 0.9 | 0.082 | 10.5 | 9.6, 11.4 | 11.0 | 10.8, 11.3 | −0.5 | 0.252 |
| Polyunsaturated fatty acids (g/1000 kcal) | 8.0 | 7.3, 8.6 | 7.7 | 7.5, 7.9 | 0.3 | 0.473 | 7.3 | 6.7, 7.8 | 7.8 | 7.6, 8.1 | −0.5 | 0.062 |
| Trans fat (g/1000 kcal) | 0.3 | 0.2, 0.3 | 0.2 | 0.2, 0.2 | 0.1 | 0.206 | 0.3 | 0.2, 0.3 | 0.3 | 0.3, 0.3 | 0.0 | 0.556 |
| Omega-3 (g/1000 kcal) | 0.05 | 0.04, 0.07 | 0.05 | 0.04, 0.05 | 0.00 | 0.487 | 0.04 | 0.03, 0.06 | 0.05 | 0.04, 0.05 | 0.01 | 0.687 |
a Sex-specific multivariable linear regression models were used to predict macronutrient intakes according to diabetes status and adjusting for age, hypertension status, body mass index, smoking status, educational level, wealth index, rural/urban area, and geographic region. Estimates were weighted to adjust for unequal probability of sampling and to be nationally representative. CI—confidence intervals.