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Table 2 Characteristics of adiposity variables by gender and spicy food eating groups

From: Spicy food consumption is associated with adiposity measures among half a million Chinese people: the China Kadoorie Biobank study

 

BMI

BF%

WC

WHtR

 

Males

Females

Males

Females

Males

Females

Males

Females

Frequency of spicy food eating

        

n

179,462

255,094

179,365

254,997

179,462

255,094

179,462

255,094

Never

23.6 (0.01)

23.9 (0.01)

22.2 (0.02)

32.3 (0.02)

82.2 (0.03)

79.3 (0.03)

0.498 (0.0002)

0.514 (0.0002)

1-2 d/wk

23.8 (0.03)

24.1 (0.03)

22.6 (0.05)

32.6 (0.05)

83.1 (0.08)

79.8 (0.07)

0.502 (0.0005)

0.517 (0.0004)

3-5 d/wk

23.9 (0.03)

24.2 (0.03)

22.6 (0.05)

32.9 (0.06)

83.2 (0.08)

79.9 (0.07)

0.503 (0.0005)

0.518 (0.0005)

Daily

24.0 (0.02)

24.4 (0.02)

22.9 (0.03)

33.3 (0.03)

83.5 (0.05)

80.4 (0.04)

0.505 (0.0003)

0.521 (0.0003)

Strength of spicy food eating

        

n

78,858

105,988

78,808

105,931

78,858

105,988

78,858

105,988

Weak

23.4 (0.02)

23.5 (0.02)

22.0 (0.04)

31.8 (0.04)

81.8 (0.07)

78.5 (0.05)

0.497 (0.0004)

0.511 (0.0003)

Moderate

23.5 (0.02)

23.8 (0.02)

22.2 (0.04)

32.1 (0.03)

82.2 (0.05)

79.1 (0.05)

0.500 (0.0003)

0.515 (0.0003)

Strong

23.5 (0.02)

24.0 (0.02)

22.3 (0.04)

32.6 (0.04)

82.5 (0.06)

79.7 (0.05)

0.502 (0.0004)

0.518 (0.0003)

Years of eating spicy food-to-age ratio

        

n

78,853

105,982

78,804

105,925

78,853

105,982

78,853

105,982

<50%

23.4 (0.03)

23.6 (0.03)

22.0 (0.06)

31.7 (0.06)

81.9 (0.09)

78.7 (0.08)

0.498 (0.0005)

0.512 (0.0005)

> = 50%

23.5 (0.02)

23.8 (0.02)

22.2 (0.04)

32.2 (0.04)

82.4 (0.06)

79.2 (0.05)

0.500 (0.0004)

0.515 (0.0003)

> = 80%

23.5 (0.02)

23.9 (0.02)

22.3 (0.04)

32.4 (0.04)

82.3 (0.06)

79.3 (0.05)

0.500 (0.0004)

0.517 (0.0003)

  1. Data are presented as covariates-adjusted mean (SE) or percentage (SE). Adjusted means and proportions were calculated by using multivariable linear regression and logistic regression models with adjustment for age, education, alcohol and tobacco use, physical activity, alcohol drinking, smoking and survey sites. All P-values for trend across subgroups are <0.001. All P-values for gender difference are <0.001.