Table 1 Baseline characteristics of the AusDiab and the BHS participants

From: Metabolic phenotyping of BMI to characterize cardiometabolic risk: evidence from large population-based cohorts

Characteristics

AusDiab (n = 10,339)

BHS (n = 4492)

Age (years)a

51.3 (14.3)

50.8 (17.4)

Sex, n (%men)b

4654 (45)

1976 (44.0)

Ethnicity (%White/European ancestry)

9786 (94.7)

4492 (100)

BMI (kg/m2)a

26.9 (4.9)

26.2 (4.2)

WC (cm)a

90.8 (13.8)

86.1 (12.7)

Cholesterol (mmol/L)a

5.7 (1.1)

5.6 (1.1)

HDL-C (mmol/L)a

1.44 (0.4)

1.39 (0.39)

Triglycerides (mmol/L)c

1.28 (0.9)

1.18 (0.90)

SBP (mmHg)a

129.2 (18.6)

124.0 (17.9)

DBP (mmHg)a

70.0 (11.7)

74.5 (10.2)

FBG (mmol/L)a

5.3 (1.1)

5.0 (1.4)

2h-PLG (mmol/L)a

6.3 (2.7)

HbA1C (%)a

5.2 (0.6)

HOMA-IRa

3.6 (2.4)

1.78 (2.5)

Current smoking, n (%)b

1623 (15.9)

608 (13.5)

BP treatment, n (%)b

1577 (15.3)

Lipid lowering medication, n (%)b

871 (8.4)

108 (2.4)

Diabetes at baseline, n (%)b

686 (6.6)

271 (6.0)

Baseline CVD prevalence, n (%)b

577 (5.6)

238 (5.3)

  1. WC waist circumference, HDL-C high density cholesterol, SBP systolic blood pressure, DBP diastolic blood pressure, FBG fasting blood glucose, 2h-PLG 2-h post load glucose, HbA1C% percent glycated haemoglobin, HOMA-IR homeostasis model assessment of insulin resistance.
  2. aValues expressed as mean (±SD).
  3. bValues expressed as frequency, n (%) for dichotomous variables.
  4. cData in Median, (IQR) as Triglyceride distribution was right skewed.