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Table 3 Relationship between dietary micronutrient intake (mg) and BP (mmHg)

From: Micronutrient-rich dietary intake is associated with a reduction in the effects of particulate matter on blood pressure among electronic waste recyclers at Agbogbloshie, Ghana

Dietary micronutrients (mg) Systolic blood pressure
(SBP)
β (95% CI)
Diastolic blood pressure (DBP)
β (95% CI)
Pulse pressure (PP)
β (95% CI)
Arterial pressure (AP)
β (95% CI)
Heart rate (HR)
β (95% CI)
Unadjusted
 Ca − 0.024* [− 0.044, 0.003] − 0.001 [− 0.027, 0.023] − 0.049 * [− 0.091, − 0.007] − 0.012 [− 0.033, 0.008] − 0.014 [− 0.049, 0.019]
 Mg 0.01 [− 0.01, 0.02] 0.013 [− 0.001, 0.027] −0.004 [− 0.027, 0.019] 0.009 [− 0.003, 0.020] 0.010 [− 0.009, 0.029]
 Se 0.01 [− 0.003, 0.019] −0.001 [− 0.014, 0.013] 0.022 [− 0.0003, 0.0441] 0.003 [− 0.008, 0.014] −0.007 [− 0.025, 0.011]
 Fe − 0.03** [− 0.05, − 0.01] −0.013 [− 0.039, 0.013] −0.058** [− 0.101, 0.015] − 0.023* [− 0.044, − 0.001] − 0.003 [− 0.039, 0.032]
 Zn − 0.03* [− 0.05, 0.01] − 0.02 [− 0.05, 0.01] −0.046 [− 0.094, 0.002] −0.022 [− 0.005, 0.0002] 0.009 [− 0.030, 0.048]
 Cu 0.002 [− 0.12, 0.02] − 0.005 [− 0.023, 0.013] 0.012 [− 0.017, 0.041] − 0.002 [− 0.016, 0.012] 0.005 [− 0.019, 0.029)
Adjusted
 Ca − 0.027* [− 0.054, − 0.004] − 0.001 [− 0.035, 0.034] −0.057* [− 0.113, − 0.001] −0.014 [− 0.041, 0.014] 0.048* [− 0.095, − 0.001]
 Mg 0.005 [− 0.007, 0.016] 0.012 [− 0.003, 0.027] − 0.004 [− 0.028, 0.020] 0.008 [− 0.003, 0.020] 0.014 [− 0.006, 0.034]
 Se 0.006 [− 0.005, 0.017] − 0.003 [− 0.018, 0.011] 0.020 [− 0.003, 0.043] 0.001 [− 0.011, 0.012] − 0.008 [− 0.001, 0.011]
 Fe − 0.045** [− 0.073, − 0.016] − 0.024 [− 0.061, 0.014] −0.069* [− 0.130, − 0.009] −0.034* [− 0.064, − 0.004] −0.046 [− 0.098, 0.006]
 Zn − 0.026 [− 0.061, 0.009] −0.027 [− 0.072, 0.017] −0.030 [− 0.103, 0.043] −0.027 [− 0.063, 0.009] − 0.023 [− 0.001, 0.010]
 Cu 0.014 [− 0.003, 0.031] − 0.001 [− 0.023, 0.021] 0.034 [− 0.001, 0.070] 0.005 [− 0.012, 0.024] −0.001 [− 0.031, 0.029]
  1. P-value notations: p < 0.05*; p < 0.01** Random effect adjustment was made for income, BMI, smoking status, marital status, total calories consumed, dietary diversity scores in the model