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Table 6 Univariate and multivariate linear regression models for 24-h standard deviation of DBP

From: Novel insights into the association between seasonal variations, blood pressure, and blood pressure variability in patients with new-onset essential hypertension

 

Univariate

Multivariate

 

β

t

P

β

t

P

Female n (%)

− 0.525

1.947

0.052

   

Age (years)

− 0.013

1.211

0.227

   

Diabetes mellitus

0.372

0.939

0.348

   

Current smoker n (%)

0.850

2.580

0.010

0.843

2.603

0.010

CAD n (%)

0.199

0.453

0.651

   

PCI n (%)

0.056

0.063

0.950

   

Previous myocardial infarction n (%)

− 0.582

0.651

0.516

   

Family history of hypertension n (%)

− 1.219

1.769

0.078

   

Educational Qualifications n (%)

− 0.011

0.106

0.915

   

BMI (kg/m2)

0.091

2.996

0.003

0.086

2.871

0.004

hs-CRP (mg/L)

0.267

1.203

0.230

   

HDL-C (mmol/L)

0.451

0.976

0.330

   

LDL-C (mmol/L)

0.081

0.480

0.632

   

TC (mmol/L)

0.024

0.186

0.852

   

TG (mmol/L)

0.019

0.162

0.871

   

ApoA1 (g/L)

0.159

0.321

0.748

   

ApoB (g/L)

− 0.168

0.391

0.696

   

Lp (a) (g/L)

0.001

0.087

0.931

   

Creatinine (mmol/L)

− 0.003

0.520

0.603

   

Uric acid (mmol/L)

0.001

0.854

0.394

   

Fasting glucose (mmol/L)

0.185

1.693

0.091

   

Season classification

Spring VS Summer

0.320

0.738

0.461

0.262

0.614

0.540

Autumn VS Summer

0.022

0.056

0.955

0.046

0.119

0.905

Winter VS Summer

1.133

2.770

0.006

1.176

2.917

0.004