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