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Table 2 The observational and genetic one-sample associations between BMI and WHR with depressive symptoms in individuals with valid genetic data from the China Kadoorie Biobank

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

 

Observational

Genetic

Instrument used

Strata

Region

N cases (controls)

OR (95% CI) per 1-SD higher adiposity measure

Pa

OR (95% CI) per 1-SD higher adiposity measure

Pb

Psex

Pregion

BMI

All

Both

3398 (96,979)

0.88 (0.85, 0.91)

1.50E − 12

0.81 (0.66, 0.99)

0.042

  

Male

Both

1170 (41,764)

0.83 (0.78, 0.88)

2.00E − 09

0.53 (0.35, 0.81)

3.00E − 03

0.024

 

Female

Both

2228 (55,215)

0.90 (0.86, 0.94)

1.80E − 06

0.92 (0.73, 1.17)

0.508

  

All

Urban only

1080 (42,800)

0.86 (0.81, 0.91)

2.20E − 06

1.10 (0.76, 1.59)

0.621

 

0.049

Male

Urban only

326 (17,639)

0.84 (0.75, 0.94)

2.70E − 03

0.43 (0.19, 0.95)

0.037

9.24E − 03

0.542

Female

Urban only

754 (25,161)

0.86 (0.79, 0.93)

7.90E − 05

1.42 (0.94, 2.16)

0.100

 

0.014

All

Rural only

2318 (54,179)

0.90 (0.87, 0.94)

3.70E − 06

0.70 (0.55, 0.90)

5.00E − 03

  

Male

Rural only

844 (24,125)

0.84 (0.78, 0.91)

8.00E − 06

0.57 (0.35, 0.94)

0.029

0.363

 

Female

Rural only

1474 (30,054)

0.93 (0.88, 0.98)

6.90E − 03

0.75 (0.56, 1.00)

0.051

  

WHR

All

Both

3398 (96,979)

0.91 (0.88, 0.94)

4.30E − 07

0.74 (0.55, 1.00)

0.049

  

Male

Both

1170 (41,764)

0.88 (0.83, 0.94)

3.90E − 05

0.66 (0.37, 1.18)

0.162

0.668

 

Female

Both

2228 (55,215)

0.92 (0.88, 0.96)

1.10E − 04

0.77 (0.54, 1.10)

0.148

  

All

Urban only

1080 (42,800)

0.87 (0.81, 0.93)

2.00E − 05

0.82 (0.48, 1.40)

0.460

 

0.656

Male

Urban only

326 (17,639)

0.85 (0.75, 0.95)

4.40E − 03

0.45 (0.17, 1.16)

0.096

0.132

0.308

Female

Urban only

754 (25,161)

0.86 (0.80, 0.93)

1.50E − 04

1.09 (0.57, 2.08)

0.806

 

0.216

All

Rural only

2318 (54,179)

0.93 (0.89, 0.97)

1.70E − 03

0.71 (0.49, 1.02)

0.061

  

Male

Rural only

844 (24,125)

0.89 (0.84, 0.96)

1.50E − 03

0.83 (0.40, 1.72)

0.624

0.597

 

Female

Rural only

1474 (30,054)

0.95 (0.90, 1.00)

0.053

0.67 (0.44, 1.02)

0.059

  
  1. Pa adjusted for age, region, and sex
  2. Pb adjusted for age, regional principal components, and chip
  3. Psex comparison of male and female one-sample estimates using Fisher’s z-score method
  4. Pregion comparison of urban and rural one-sample estimates using Fisher’s z-score method
  5. Bold P values represent a significant (P < 0.05) difference when comparing the by sex or by region estimates
  6. Bold P values reach P < 0.05 significance and bold italicised P values reach the multiple testing threshold P < 0.013