Table 4.
Summary findings of multinomial logistic regression for association between latent profile of dietary intake and some of its risk factors.
| Variable | Latent profile of dietary intake in 35–70 years old in FACS | ||
|---|---|---|---|
| Medium intake | High intake | Low intake | |
| Odds ratio (95% CI)* | |||
| Age | 1 | 0.96 (0.96–0.97) | 1.03 (1.02–1.04) |
| Sex | |||
| Male | 1 | 1 | 1 |
| Female | 1 | 0.66 (0.58–0.74) | 1.43 (1.15–1.78) |
| Socioeconomic | |||
| Low | 1 | 1 | 1 |
| Moderate | 1 | 1.61 (1.43–1.81) | 0.45 (0.38–0.55) |
| High | 1 | 2.87 (2.55–3.24) | 0.29 (0.22–0.37) |
| Smocking | |||
| No | 1 | 1 | 1 |
| Yes | 1 | 1.11 (0.96–1.27) | 1.15 (0.90–1.45) |
| Use Drugs | 1 | ||
| No | 1 | 1 | 1 |
| Yes | 1 | 1.07 (0.92–1.24) | 0.94 (0.70–1.25) |
p value less than 0.05 considered significant.
*The proportional odd for ordered logistic regression was violated (p value for chi-square test < 0.001) so, we run the multinominal logistic regression.