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Table 1 Participant characteristics

From: Risk factor contributions to socioeconomic inequality in cardiovascular risk in the Philippines: a cross-sectional study of nationally representative survey data

  

Primary analysis sample

Secondary analysis sample

  

Female, n = 4516

Male, n = 3946

Female, n = 1801

Male, n = 1099

CVD risk, %

mean (SD)

12.4

(11.5)

17.1

(11.1)

12.3

(11.0)

17.4

(11.7)

High CVD risk ≥ 20%

n (%)

871

(18.3)

1,276

(31.8)

375

(18.5)

392

(31.5)

Age, years

mean (SD)

52.7

(9.2)

52.1

(8.8)

52.7

(9.2)

52.1

(8.8)

Systolic blood pressure (SBP), mmHg

mean (SD)

124.4

(20.8)

126.4

(19.8)

124.9

(21.1)

126.8

(21.1)

High SBP ≥ 140 mmHg

n (%)

1,364

(29.3)

1,312

(33.3)

555

(30.0)

383

(33.5)

Total cholesterol (TC), mmol/L

mean (SD)

5.7

(1.2)

5.2

(1.2)

5.7

(1.2)

5.3

(1.2)

High TC > 6.2 mmol/L

n (%)

1,366

(29.8)

688

(19.1)

582

(31.3)

203

(19.3)

Fasting blood sugar (FBS), mg/dL

mean (SD)

98.3

(39.0)

99.8

(39.5)

97.3

(37.8)

99.3

(37.5)

High blood glucose ≥ 126 mg/dL

n (%)

371

(8.3)

314

(8.9)

137

(7.5)

102

(9.3)

Smoker, %

n (%)

414

(8.5)

1,797

(45.1)

145

(7.5)

468

(43.5)

Wealth index quintile group

n (%)

        

 Poorest

 

1,073

(20.0)

967

(20.0)

420

(20.0)

251

(20.1)

 Poor

 

993

(20.0)

876

(20.0)

382

(20.0)

223

(20.0)

 Middle

 

899

(20.0)

801

(20.0)

359

(20.0)

226

(20.0)

 Rich

 

811

(20.0)

701

(20.0)

339

(19.9)

210

(19.9)

 Richest

 

740

(19.9)

601

(20.0)

301

(20.0)

189

(20.0)

Urban location

n (%)

1,957

(52.4)

1,571

(50.7)

826

(52.2)

509

(50.8)

Body mass index (BMI), kg/m2

mean (SD)

    

24.2

(4.6)

23.2

(3.8)

Overweight, BMI ≥ 25

n (%)

    

682

(41.1)

314

(29.5)

Low physical activity

n (%)

    

1,018

(55.6)

569

(52.4)

Fat share energy intake, %

mean (SD)

    

14.9

(8.6)

13.8

(8.4)

Drinks alcohol

n (%)

    

207

(11.1)

535

(50.1)

  1. Note. The primary analysis sample was used to measure and decompose inequality in CVD risk. The secondary analysis sample was used to measure and decompose inequalities in SBP, TC, and HBG into contributions of BMI, low physical activity, fat intake, and drinking alcohol. See Supplementary Figure S1 for selection of the respective samples. Frequencies are unweighted. Means and percentages are weighted