TABLE 5.
Weighted odds ratio sum (95% CI) of quartiles of hypertension and adjusted dietary saturated fatty acid intake: a cross-sectional study using NHANES 1999–2018 data (N = 7,222).
| Subgroups | Model Ia |
Model IIb |
Model IIIc |
||||
| P-value | OR (95% CI) | P-value | OR (95% CI) | P-value | OR (95% CI) | P-trend d | |
| SFAs | |||||||
| [–42.786, –4.638] (n = 1,806) | Ref | 0.172 | |||||
| [–4.638, –0.128] (n = 1,805) | 0.91 | 0.91 (0.59, 1.41) | 0.90 | 0.90 (0.58, 1.39) | 0.88 | 0.88 (0.57, 1.36) | |
| [–0.128, 4.571] (n = 1,805) | 0.85 | 0.85 (0.47, 1.54) | 0.85 | 0.85 (0.47, 1.55) | 0.85 | 0.85 (0.47, 1.56) | |
| [4.571, 116.405] (n = 1,806) | 0.97 | 0.97 (0.46, 2.05) | 0.97 | 0.97 (0.47, 2.01) | 0.98 | 0.98 (0.47, 2.05) | |
| C4:0 | |||||||
| [–1.565, –0.259] (n = 1,798) | Ref | 0.046 | |||||
| [–0.259, –0.077] (n = 1,814) | 0.73 | 0.73 (0.52, 1.02) | 0.77 | 0.77 (0.55, 1.07) | 0.77 | 0.77 (0.55, 1.07) | |
| [–0.077, 0.15] (n = 1,806) | 0.73 | 0.73 (0.50, 1.07) | 0.76 | 0.76 (0.51, 1.12) | 0.76 | 0.76 (0.51, 1.12) | |
| [0.15, 7.977] (n = 1,804) |
0.84 | 0.84 (0.50, 1.42) | 0.92 | 0.92 (0.53, 1.60) | 0.91 | 0.91 (0.53, 1.58) | |
| C6:0 | |||||||
| [–0.873, –0.145] (n = 1,803) | Ref | 0.487 | |||||
| [–0.145, –0.041] (n = 1,804) | 0.83 | 0.83 (0.53, 1.28) | 0.83 | 0.83 (0.53, 1.31) | 0.83 | 0.83 (0.53, 1.29) | |
| [–0.041,0.086] (n = 1,805) | 0.93 | 0.93 (0.54, 1.60) | 0.94 | 0.94 (0.54, 1.64) | 0.92 | 0.92 (0.53, 1.59) | |
| [0.086, 4.301] (n = 1,810) | 0.64 | 0.64 (0.33, 1.21) | 0.62 | 0.62 (0.32, 1.21) | 0.61 | 0.61 (0.32, 1.18) | |
| C8:0 | |||||||
| [–0.681, –0.106] (n = 1,796) | Ref | 0.169 | |||||
| [–0.106, –0.026] (n = 1,804) | 1.25 | 1.25 (0.78, 2.01) | 1.28 | 1.28 (0.78, 2.10) | 1.28 | 1.28 (0.78, 2.08) | |
| [–0.026, 0.074] (n = 1,821) | 1.62 | 1.62 (0.86, 3.03) | 1.76 | 1.76 (0.91, 3.44) | 1.78 | 1.78 (0.92, 3.46) | |
| [0.074, 3.4787] (n = 1,801) | 1.91 | 1.91 (0.92, 3.96) | 1.9 | 1.90 (0.90, 4.02) | 1.93 | 1.93 (0.92, 4.08) | |
|
C10:0 |
|||||||
| [–1.291, –0.183] (n = 1,811) | Ref | 0.07 | |||||
| [–0.183, –0.035] (n = 1,800) | 1.06 | 1.06 (0.63, 1.79) | 1.03 | 1.03 (0.59, 1.79) | 1.06 | 1.06 (0.61, 1.86) | |
| [–0.035, 0.15] (n = 1,802) | 0.85 | 0.85 (0.44, 1.65) | 0.86 | 0.86 (0.43, 1.70) | 0.90 | 0.90 (0.45, 1.80) | |
| [0.15, 5.596] (n = 1,809) | 0.75 | 0.75 (0.34, 1.65) | 0.79 | 0.79 (0.34, 1.83) | 0.84 | 0.84 (0.36, 1.96) | |
| C12:0 | |||||||
| [–1.916, –0.315] (n = 1,809) | Ref | 0.199 | |||||
| [–0.315, –0.103] (n = 1,797) | 0.98 | 0.98 (0.69, 1.38) | 0.94 | 0.94 (0.67, 1.33) | 0.94 | 0.94 (0.67, 1.33) | |
| [–0.103, 0.209] (n = 1,808) | 0.79 | 0.79 (0.55, 1.15) | 0.76 | 0.76 (0.53, 1.09) | 0.76 | 0.76 (0.53, 1.10) | |
| [0.209, 22.855] (n = 1,808) | 0.79 | 0.79 (0.51, 1.23) | 0.77 | 0.77 (0.49, 1.19) | 0.76 | 0.76 (0.49, 1.19) | |
| C14:0 | |||||||
| [–5.382, –0.819] [n = 1,806) | Ref | 0.088 | |||||
| [–0.819, –0.2] (n = 1,805) | 1.02 | 1.02 (0.69, 1.51) | 0.96 | 0.96 (0.64, 1.43) | 0.92 | 0.92 (0.61, 1.38) | |
| [–0.2, 0.518] (n = 1,806) | 1.17 | 1.17 (0.71, 1.92) | 1.08 | 1.08 (0.64, 1.84) | 0.99 | 0.99 (0.57, 1.71) | |
| [0.518, 23.636] (n = 1,805) | 1.09 | 1.09 (0.59, 2.03) | 1.08 | 1.08 (0.55, 2.11) | 0.96 | 0.96 (0.48, 1.93) | |
| C16:0 | |||||||
| [–22.230, –2.123] (n = 1,806) | Ref | 0.16 | |||||
| [–2.123, 0.161] (n = 1,806) | 1.01 | 1.01 (0.73, 1.41) | 0.92 | 0.92 (0.65, 1.29) | 0.94 | 0.94 (0.66, 1.35) | |
| [0.161, 2.444] (n = 1,804) | 1.35 | 1.35 (0.83, 2.21) | 1.25 | 1.25 (0.76, 2.06) | 1.26 | 1.26 (0.75, 2.12) | |
| [2.444, 46.1789] (n = 1,806) | 1.36 | 1.36 (0.76, 2.42) | 1.19 | 1.19 (0.66, 2.13) | 1.20 | 1.20 (0.65, 2.22) | |
| C18:0 | |||||||
| [–10.703, –1.313] (n = 1,805) | Ref | 0.005 | |||||
| [–1.313, –0.125] (n = 1,806) | 1.56 | 1.56 (1.15, 2.11) | 1.52 | 1.52 (1.12, 2.07) | 1.48 | 1.48 (1.08, 2.04) | |
| [–0.125, 1.073] (n = 1,804) | 1.33 | 1.33 (0.89, 1.97) | 1.21 | 1.21 (0.81, 1.81) | 1.17 | 1.17 (0.77, 1.78) | |
| [1.073, 17.2571] (n = 1,807) | 1.32 | 1.32 (0.85, 2.05) | 1.14 | 1.14 (0.73, 1.79) | 1.09 | 1.09 (0.68, 1.73) | |
aMultivariate logistic regression model adjusted for covariates (gender, age, race). bMultivariate logistic regression models adjusted for covariates (gender, age, race, marital, ratio of family income to poverty levels, BMI, education levels, smoking consumption status, alcohol consumption status, PA). cMultivariate logistic regression models adjusted for covariates (gender, age, race, marital, ratio of family income to poverty levels, education levels, BMI, smoking consumption status, alcohol consumption status, PA, protein, dietary fiber, total polyunsaturated fatty acids [total pfat]). dTest for trend based on the variable containing a median value for each quartile.