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Table 2 Univariate analysis for CA dysfunction

From: Artificial neural network models for prediction of cardiovascular autonomic dysfunction in general Chinese population

Variables

β

P value

OR (95% CI)

Age

0.428

<0.001

1.53 (1.35–1.75)

HR

0.859

<0.001

2.36 (2.09–2.67)

BMI

0.273

0.001

1.31 (1.13–1.53)

WC

0.510

<0.001

1.67 (1.3–2.14)

SBP

0.018

<0.001

1.02 (1.01–1.02)

DBP

0.019

0.001

1.02 (1.01–1.03)

FPG

0.450

<0.001

1.57 (1.39–1.78)

PBG

0.475

<0.001

1.61 (1.41–1.83)

IR

0.279

<0.001

1.32 (1.20–1.46)

TG

0.336

0.003

1.40 (1.12–1.75)

DM

0.936

<0.001

2.55 (2.00–3.25)

DM duration

0.412

<0.001

1.51 (1.30–1.76)

PH

0.779

<0.001

2.18 (1.74–2.73)

PH duration

0.356

<0.001

1.43 (1.28–1.59)

  1. Note: HR: heart rate, BMI: body mass index, WC: waist circumference, SBP: systolic blood pressure, DBP: diastolic blood pressure, FPG: fasting plasma glucose, PBG: plasma blood glucose, IR: insulin resistance, TG: triglyceride, PH: Hypertension, DM: Diabetes, IR: insulin resistance.