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Table 1 The demographics and lifestyle characteristics of individuals from the China Kadoorie Biobank with valid genetic data available

From: Mendelian randomisation study of body composition and depression in people of East Asian ancestry highlights potential setting-specific causality

Demographic

Depressed

Not depressed

Pa

N

3398

96,979

 

Mean age at recruitment (SD)

52.6 (10.6)

53.8 (11.0)

6.00E − 10

Female, N (%)

2228 (65.6)

55,215 (56.9)

 < 1.00E − 15

Lives in urban region, N (%)

1080 (31.8)

42,800 (44.1)

 < 1.00E − 15

Region, N (%)

  

 < 1.00E − 15

Qingdao (Urban)

58 (1.7)

8201 (8.5)

 

Harbin (Urban)

460 (13.5)

12,637 (13.0)

 

Haikou (Urban)

103 (3.0)

5679 (5.9)

 

Suzhou (Urban)

298 (8.8)

7660 (7.9)

 

Liuzhou (Urban)

161 (4.7)

8623 (8.9)

 

Sichuan (Rural)

344 (10.1)

10,.248 (10.6)

 

Gansu (Rural)

371 (10.9)

9651 (10.0)

 

Henan (Rural)

573 (16.9)

10,782 (11.1)

 

Zhejiang (Rural)

575 (16.9)

11,452 (11.8)

 

Hunan (Rural)

455 (13.4)

12,046 (12.4)

 

Mean BMI (SD)

23.1 (3.5)

23.7 (3.5)

 < 1.00E − 15

Mean WHR (SD)

0.87 (0.1)

0.88 (0.1)

5.60E − 15

Mean BFP (SD)

27.7 (8.7)

27.8 (8.7)

0.96

Sleep hours

7.00 (1.7)

7.39 (1.4)

 < 1.00E − 15

Mean MET hours (physical activity metric) (SD)

6.25 (3.7)

6.02 (3.4)

2.00E − 04

Smoking status, N (%)

  

1.30E − 07

Never smoker

2191 (64.5)

57,995 (59.8)

 

Occasional smoker

196 (5.8)

5460 (5.6)

 

Former smoker

167 (4.9)

6742 (7.0)

 

Current smoker

844 (24.8)

26,782 (27.6)

 

Highest education, N (%)

  

 < 1.00E − 15

No formal school

836 (24.6)

19,260 (19.9)

 

Primary school

1173 (34.5)

32,047 (33.1)

 

Middle school

877 (25.8)

26,001 (26.8)

 

High school

384 (11.3)

13,827 (14.3)

 

Technical school/college

88 (2.6)

3414 (3.5)

 

University

40 (1.2)

2430 (2.5)

 

Household income, N (%)

  

 < 1.00E − 15

 < 2500 yuan

243 (7.2)

3670 (3.8)

 

2500–4999

403 (11.9)

7163 (7.4)

 

5000–9999

824 (24.3)

18,813 (19.4)

 

10,000–19,999

962 (28.3)

29,210 (30.1)

 

20,000–34,999

665 (19.6)

22,479 (23.2)

 

 >  = 35,000

301 (8.9)

15,644 (16.1)

 

Occupation, N (%)

  

0.02

Agriculture

1615 (47.5)

39,480 (40.7)

 

Factory

276 (8.1)

11,448 (11.8)

 

Administrative/manager

40 (1.2)

2286 (2.4)

 

Professional/technical

79 (2.3)

2740 (2.8)

 

Sales and service

160 (4.7)

4543 (4.7)

 

Retired

383 (11.3)

18,883 (19.5)

 

House husband/wife

549 (16.2)

11,027 (11.4)

 

Self employed

64 (1.9)

2402 (2.5)

 

Unemployed

156 (4.6)

2740 (2.8)

 

Other

76 (2.2)

1430 (1.5)

 

Marital status, N (%)

  

 < 1.00E − 15

Married

2676 (78.8)

86,855 (89.6)

 

Widowed

558 (16.4)

7998 (8.3)

 

Divorced

120 (3.5)

1383 (1.4)

 

Never married

44 (1.3)

743 (0.8)

 

Has health cover N (%yes)

2423 (71.3)

76,532 (78.9)

 < 1.00E − 15

Has own home N (%yes)

1374 (40.4)

41,450 (42.7)

7.60E − 03

Has private toilet N (%yes)

1467 (43.2)

49,196 (50.7)

 < 1.00E − 15

Has motor vehicle N (%yes)

1586 (46.7)

46,387 (47.8)

0.18

Has own phone N (%yes)

2832 (83.3)

84,915 (87.6)

4.10E − 13

Recent holiday N (%yes)

212 (6.2)

9500 (9.8)

8.70E − 12

Satisfaction level, N (%)

  

 < 1.00E − 15

Very satisfied

348 (10.2)

17,207 (17.7)

 

Satisfied

1145 (33.7)

49,521 (51.1)

 

Neither satisfied or unsatisfied

1192 (35.1)

26,600 (27.4)

 

Unsatisfied

624 (18.4)

3449 (3.6)

 

Very unsatisfied

89 (2.6)

202 (0.2)

 

Self-rated health N (%)

  

 < 1.00E − 15

Excellent

230 (6.8)

16,942 (17.5)

 

Good

624 (18.4)

26,525 (27.4)

 

Fair

1512 (44.5)

42,986 (44.3)

 

Poor

1032 (30.4)

10,526 (10.9)

 

Comparative health N (%)

  

 < 1.00E − 15

Better

374 (11.0)

17,870 (18.4)

 

About the same

1619 (47.7)

60,289 (62.2)

 

Worse

1320 (38.9)

16,101 (16.6)

 

Do not know

85 (2.5)

2719 (2.8)

 

Loss of interest N (%)

1483 (43.6)

0

 

Feeling worthless N (%)

1021 (30.1)

0

 

Loss of appetite N (%)

860 (25.3)

0

 

Continuous anxiety N (%)

485 (2913)

0

 

Sad depressed N (%)

3233 (95.1)

0

 

Major depression N (%)

760 (100)

0

 
  1. Pa Comparison of cases and controls using linear (for continuous) and logistic (for binary) regression models