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Table 2 Multiple linear regression analyses between immunoglobulins and GDS-15

From: Association between immunoglobulin A and depression in Chinese older adults: findings from a cross-sectional study

Variables

Beta

95% CI

P

Immunoglobulin A

  Model 1

0.118

0.032–0.203

0.007

  Model 2

0.102

0.019–0.185

0.016

  Model 3

0.106

0.016–0.195

0.020

Immunoglobulin G

  Model 1

0.030

-0.010–0.069

0.140

  Model 2

0.000

-0.038–0.038

0.988

  Model 3

-0.011

-0.052–0.029

0.585

Immunoglobulin M

    Model 1

-0.271

-0.500- -0.042

0.020

    Model 2

-0.248

-0.469- -0.027

0.028

    Model 3

-0.315

-0.569- -0.061

0.015

Immunoglobulin E

  Model 1

0.000

-0.005–0.005

0.924

  Model 2

-0.001

-0.006–0.003

0.580

  Model 3

-0.003

-0.008–0.002

0.253

Complement C3

  Model 1

-0.008

-0.015- -0.002

0.009

  Model 2

-0.002

-0.008–0.004

0.567

  Model 3

-8.82E-5

-0.008–0.007

0.982

Complement C4

  Model 1

-0.012

-0.028–0.005

0.159

  Model 2

0.004

-0.012–0.021

0.595

  Model 3

0.004

-0.015–0.023

0.669

  1. Notes: Model 1: no adjustment; Model 2: adjusted for age, sex, and ethnicity; Model 3: age, sex, ethnicity, centenarians, SBP, DBP, RBC, hemoglobin, MCHC, WBC, neutrophil, CRP, immunoglobulin A, immunoglobulin G, immunoglobulin M, immunoglobulin E, complement C3, and complement C4
  2. Abbreviations: CI Confidence interval, SBP Systolic blood pressure, DBP Diastolic blood pressure, RBC Red blood cell, MCHC Mean corpuscular hemoglobin concentration, WBC White blood cell, CRP C-reactive protein