Table 1 Characteristics of study participants for each of the three cohorts

From: Proteomic aging clock predicts mortality and risk of common age-related diseases in diverse populations

 

UKB (n = 45,441)

CKB (n = 3,977)

FinnGen (n = 1,990)

Age

Mean (s.d.)

57 (8.2)

57 (12)

56 (15)

Range (years)

39–71

30–78

19–78

Sex

Female

24,579 (54.1%)

2,137 (53.7%)

1,032 (51.9%)

BMI (kg m−2)

Mean (s.d.)

27 (4.8)

24 (3.6)

26 (4.5)

Ethnicity

White

42,320 (93.1%)

–

–

Asian

1,016 (2.2%)

–

–

Black

1,114 (2.5%)

–

–

Mixed

293 (0.6%)

–

–

Other

554 (1.2%)

–

–

Geographic region

Gansu (rural)

–

397 (10.0%)

–

Haikou (urban)

–

298 (7.5%)

–

Harbin (urban)

–

598 (15.0%)

–

Henan (rural)

–

493 (12.4%)

–

Hunan (rural)

–

462 (11.6%)

–

Liuzhou (urban)

–

379 (9.5%)

–

Qingdao (urban)

–

415 (10.4%)

–

Sichuan (rural)

–

341 (8.6%)

–

Suzhou (urban)

–

252 (6.3%)

–

Zhejiang (rural)

–

342 (8.6%)

–

Incident diabetes

Yes

2,781 (6.1%)

160 (4.0%)

–

Incident IHD

Yes

4,546 (10.0%)

2,121 (53.3%)

–

Incident all stroke

Yes

1,362 (3.0%)

566 (14.2%)

–

Incident ischemic stroke

Yes

1,182 (2.6%)

521 (13.1%)

–

Incident COPD

Yes

2,059 (4.5%)

178 (4.5%)

–

Incident chronic liver diseases

Yes

1,011 (2.2%)

39 (1.0%)

–

Incident CKDs

Yes

2,626 (5.8%)

52 (1.3%)

–

All-cause mortality

Dead

4,828 (10.6%)

1,426 (35.9%)

22 (1.1%)

  1. Hyphens are shown for data categories that are not applicable in a specific cohort or for which there were not enough cases.