Table 2.
Characteristics of study participants by dietary clusters
Cluster 1 | Cluster 2 | Cluster 3 | Pa | |
---|---|---|---|---|
Age (years, mean ± SE) | 52.5 ± 0.05 | 49.1 ± 0.05 | 48.1 ± 0.17 | <0.001 |
Education (%) | <0.001 | |||
None | 13.6 | 2.9 | 2.1 | |
Elementary school | 12.8 | 5.2 | 4.1 | |
Up to high school | 63.6 | 73.1 | 76.5 | |
College | 9.9 | 18.8 | 17.4 | |
Income level (%) | ||||
<10 000 | 18.5 | 11.0 | 13.9 | <0.001 |
10 000–19 999 | 40.9 | 34.4 | 33.2 | |
20 000–29 999 | 26.4 | 31.7 | 31.4 | |
>30 000 | 14.2 | 22.9 | 21.4 | |
Occupation (%) | ||||
Professional | 15.0 | 26.4 | 23.6 | <0.001 |
Clerical | 11.8 | 14.5 | 15.1 | |
Manual | 21.9 | 24.1 | 26.8 | |
Housewife/retired | 51.2 | 35.0 | 35.0 | |
Smoking (%) | 2.7 | 1.5 | 2.2 | <0.001 |
Alcohol consumption (%) | 2.1 | 2.3 | 4.6 | <0.001 |
Exercise participation (%) | 32.9 | 33.0 | 32.4 | 0.84 |
Obesity (%)b | 38.1 | 25.2 | 29.7 | <0.001 |
Central obesity (%)c | 23.4 | 14.0 | 17.2 | <0.001 |
Hypertension (%) | 22.1 | 14.56 | 15.7 | <0.001 |
SE: standard error.
aP-value was calculated by ANOVA or the Kruskal–Wallis test (for non-normally distributed variables) for continuous variables and the chi-square test for categorical variables.
bBMI > 25 kg/m2.
cWHR ≥ 0.85.