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Table 2 Single-predictor GEE Models

From: A longitudinal cohort based association study between uric acid level and metabolic syndrome in Chinese Han urban male population

 

Estimate

Standard Error

Z

Pr > |Z|

RR

lower 95% Confidence Limits

upper 95% Confidence Limits

Quartiles of UA

0.2587

0.0448

5.78

<.0001

1.2952

1.1864

1.4141

age

0.0243

0.0031

7.94

<.0001

1.0246

1.0185

1.0308

GGT

0.0095

0.0012

8.15

<.0001

1.0095

1.0072

1.0118

ALB

0.037

0.0097

3.8

0.0001

1.0377

1.0181

1.0576

GLO

−0.0574

0.0172

−3.33

0.0009

0.9442

0.9128

0.9766

BUN

−0.0083

0.0431

−0.19

0.8474

0.9917

0.9114

1.0792

CREA

−0.0004

0.0053

−0.08

0.933

0.9996

0.9894

1.0099

CHOL

0.3292

0.0491

6.7

<.0001

1.3899

1.2623

1.5304

Hb

0.0242

0.0052

4.67

<.0001

1.0245

1.0142

1.0350

HCT

0.0119

0.0173

0.69

0.4913

1.0120

0.9782

1.0470

MCV

−0.0296

0.0112

−2.64

0.0083

0.9708

0.9496

0.9924

MCH

0.0905

0.0286

3.17

0.0015

1.0947

1.0351

1.1579

RDW

−0.0613

0.0674

−0.91

0.3632

0.9405

0.8242

1.0734

WBC

0.1391

0.0276

5.05

<.0001

1.1492

1.0888

1.2130

PDW

0.0045

0.0299

0.15

0.8795

1.0045

0.9474

1.0651

MPV

−0.0034

0.0623

−0.05

0.9563

0.9966

0.8821

1.1259

PCT

−1.4813

1.0857

−1.36

0.1725

0.2273

0.0271

1.9092

diet

−0.0248

0.0535

−0.46

0.6433

0.9755

0.8784

1.0834

drinking

0.0172

0.029

0.59

0.5539

1.0173

0.9611

1.0768

smoking

0.0044

0.0241

0.18

0.8536

1.0044

0.9582

1.0530

quality of sleep

−0.0242

0.062

−0.39

0.696

0.9761

0.8644

1.1021

exercise

0.015

0.103

0.15

0.8841

1.0151

0.8295

1.2423