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Table 4 The multivariate logistic analysis of the cardiovascular disease (CVD) risk factor clustering

From: Prevalence and clustering of cardiovascular risk factors among resident of coastal areas in Qinzhou, Guangxi, China

 

Single (1)

  

Clustering (≥ 2)

  

Category

OR

95%CI

P value

OR

95%CI

P value

Gender:

      

 Female

1.000

     

 Male

1.073

0.88 to 1.309

0.485

0.971

0.797 to 1.183

0.770

Age

      

 < 35

1.000

     

 35–44

1.232

0.463 to 3.275

0.676

1.037

0.397 to 2.706

0.941

 45–54

1.032

0.413 to 2.584

0.946

1.131

0.462 to 2.767

0.787

 55–64

1.444

0.577 to 3.614

0.432

0.918

0.373 to 2.26

0.852

 ≥ 65

0.886

0.346 to 2.273

0.802

1.788

0.718 to 4.457

0.212

Income, thousand yuan per year

      

 < 10

1.000

     

 10 ~ 30

0.983

0.793 to 1.22

0.879

1.029

0.83 to 1.276

0.793

 > 30

0.753

0.551 to 1.028

0.074

1.536

1.134 to 2.08

0.006

Education:

      

 Primary school and lower

1.000

     

 Junior or senior high

1.073

0.397 to 2.903

0.889

0.605

0.225 to 1.624

0.318

 College and higher

0.866

0.311 to 2.416

0.784

0.108

0.029 to 0.404

0.001

Education Age

      

 Primary school and lower by < 35 years old

1.000

     

 Junior or senior higher by 35-44 years old

1.228

0.392 to 3.846

0.724

1.073

0.343 to 3.357

0.903

 Junior or senior high by 45-54 years old

1.009

0.347 to 2.928

0.987

2.097

0.731 to 6.019

0.169

 Junior or senior high by 55-64 years old

0.697

0.240 to 2.024

0.507

2.686

0.930 to 7.753

0.068

 Junior or senior high by ≥ 65 years old

1.213

0.400 to 3.679

0.733

1.713

0.574 to 5.109

0.334

 College and higher by 35-44 years old

0.572

0.134 to 2.439

0.451

22.306

4.448 to 111.852

 < 0.001

 College and higher by 45-54 years old

1.516

0.426 to 5.393

0.520

11.737

2.601 to 52.957

0.001

 College and higher by 55-64 years old

0.827

0.226 to 3.024

0.774

12.496

2.735 to 57.094

0.001

 College and higher by ≥ 65 years old

0.953

0.213 to 4.256

0.949

14.753

2.768 to 78.647

0.002

  1. The multivariate logistic regression analysis was performed to examine whether age, gender, education level, and family income level were associated with the presence of CRFs corrected by age and gender