Research Article
Development of a Dietary Factor Assessment Tool for Evaluating Associations between Visceral Fat Accumulation and Major Nutrients in Japanese Adults
Table 4
Estimated BMI and visceral fat area by quartiles of each dietary factor score in Survey 1.
| | | Q1 | Q2 | Q3 | Q4 | ANOVA1 | Q1 vs. Q4 |
| Appetite | Male / Female | 2468 / 445 | 2241 / 595 | 2058 / 779 | 1605 / 1247 | | | Age | 44.1 ± 0.2 | 42.4 ± 0.2 | 40.5 ± 0.2 | 38.1 ± 0.2 | | | BMI2 | 21.6 ± 0.1 | 22.2 ± 0.1 | 22.9 ± 0.1 | 23.5 ± 0.1 | <0.001 | <0.001 | Visceral fat2 | 63 ± 1 | 68 ± 1 | 76 ± 1 | 81 ± 1 | <0.001 | <0.001 |
| Healthy food choice | Male / Female | 2324 / 604 | 2099 / 749 | 2015 / 794 | 1934 / 919 | | | Age | 37.7 ± 0.2 | 40.4 ± 0.2 | 42.6 ± 0.2 | 44.6 ± 0.2 | | | BMI | 22.5 ± 0.1 | 22.7 ± 0.1 | 22.6 ± 0.1 | 22.5 ± 0.1 | 0.016 | n.s. | Visceral fat | 72 ± 1 | 74 ± 1 | 72 ± 1 | 69 ± 1 | <0.01 | <0.01 |
| Sedentary behavior | Male / Female | 2374 / 529 | 2141 / 644 | 2016 / 826 | 1841 / 1067 | | | Age | 41.9 ± 0.2 | 42.0 ± 0.2 | 40.8 ± 0.2 | 40.5 ± 0.2 | | | BMI2 | 22.1 ± 0.1 | 22.7 ± 0.1 | 22.7 ± 0.1 | 22.8 ± 0.1 | <0.001 | <0.001 | Visceral fat2 | 58 ± 1 | 73 ± 1 | 76 ± 1 | 81 ± 1 | <0.001 | <0.001 |
| Calorie restriction | Male / Female | 2255 / 657 | 2055 / 730 | 2074 / 782 | 1988 / 897 | | | Age | 40.2 ± 0.2 | 41.8 ± 0.2 | 42.1 ± 0.2 | 41.2 ± 0.2 | | | BMI2 | 21.5 ± 0.1 | 22.6 ± 0.1 | 22.9 ± 0.1 | 23.2 ± 0.1 | <0.001 | <0.001 | Visceral fat2 | 62 ± 1 | 74 ± 1 | 76 ± 1 | 76 ± 1 | <0.001 | <0.001 |
| Irregular mealtime | Male / Female | 1782 / 1004 | 2016 / 799 | 2200 / 701 | 2374 / 562 | | | Age | 43.3 ± 0.2 | 42.4 ± 0.2 | 40.7 ± 0.2 | 38.8 ± 0.2 | | | BMI2 | 22.3 ± 0.1 | 22.4 ± 0.1 | 22.7 ± 0.1 | 22.9 ± 0.1 | <0.001 | <0.001 | Visceral fat2 | 68 ± 1 | 70 ± 1 | 74 ± 1 | 76 ± 1 | <0.001 | <0.001 |
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Mean ± SE. 1Fixed effect: quartiles of each dietary factor score; covariates: sex and age. 2Data were log-transformed for ANOVA.
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