Table 4.
Linear regression of factors associated with levels of systolic and diastolic blood pressure among pastoral communities in Monduli district in Tanzania, 2020 (n = 510)
| Variables | Dependent variable (SBP) (mmHg) | Dependent variable (DBP) (mmHg) | ||
|---|---|---|---|---|
| β (95% CI) | R2 (%)a | β (95% CI) | R2 (%)a | |
| Age (years) | 4.06(2.7;5.42)*** | 6.3 | 3.3(2.28;4.3)*** | 7.5 |
| Gender (Males) | 4.01(0.84;7.18)* | 1.2 | −2.3(−2.6;2.1) | < 0.1 |
| Body mass index (kg/m2) | 0.82(0.57;1.08)*** | 7.5 | 0.62(0.43;0.81)*** | 7.6 |
| Waist circumference (cm) | 0.28(0.18;0.38)*** | 6.1 | 0.2(0.14;0.29)*** | 6.1 |
| Hip circumference (cm) | 0.16(0.06;0.25)** | 2.2 | 0.15(0.07;0.22)*** | 3.2 |
| Abdominal obesity (WHR) | 31.1(15.9;46.3)*** | 3.3 | 15.5(3.86;27.13)** | 1.4 |
| Metabolic time (MET/week) | −0.19(−0.37;-0.01)* | 0.8 | −0.06(− 0.19;0.07) | 0.1 |
| Sedentary time (hours/day) | 0.75(0.22;1.28)** | 1.5 | 0.4(0.01;0.79)* | 0.8 |
| Income (Tsh) | −0.2(−1.6;1.18) | < 0.1 | 0.1(−0.9;1.15) | < 0.1 |
| Number of meals | −0.39(− 0.41;3.24) | < 0.1 | − 1.97(−4.6;0.74) | 0.4 |
| Consumption of fruits b | −1.93(−6.2; 2.3) | 0.1 | − 1.3(− 4.5;1.8) | 0.1 |
| Consumption of cereals b | −17.4(−23.8;-11.0)*** | 5.3 | −6.6(− 11.5;-1.79)** | 1.4 |
| Consumption of fatty foods b | 1.6(−1.85;5.16) | 0.1 | 2.16(−4.5;4.77) | 0.5 |
| Dietary diversity score | −0.05(− 0.78;-0.67) | < 0.1 | 0.03(− 0.51;0.57) | < 0.1 |
*P < .05, **P < .01, ***P < 0.001; β = Unadjusted Regression coefficient; CI confidence interval, a Coefficient of determination, b food groups coded as binary 0 = if not consumed and 1 = if consumed, SBP Mean systolic blood pressure, DBP Mean diastolic blood pressure, mmHg millimeter of mercury