Journal of Obesity / 2019 / Article / Tab 7

Research Article

Development of a Dietary Factor Assessment Tool for Evaluating Associations between Visceral Fat Accumulation and Major Nutrients in Japanese Adults

Table 7

Quartiles of other dietary factor scores in Survey 2.

“Sedentary behavior” score quartileQ1Q2Q3Q4ANOVA1Q1 vs. Q4

Male / Female70 / 32140 / 79106 / 5658 / 38
Age (years)48.4 ± 1.149.2 ± 0.747.0 ± 0.847.8 ± 1.1
Vigorous (8.0 MET)4min./week212 ± 1274 ± 917 ± 1010 ± 13<0.001<0.001
Moderate (4.0 MET)4min./week128 ± 1166 ± 821 ± 921 ± 11<0.001<0.001
Walking (3.3 MET)min./week253 ± 24247 ± 16264 ± 19228 ± 25n.s.n.s.
Total MET-min./week3045 ± 1441670 ± 981091 ± 114915 ± 148<0.001<0.001
“Calorie restriction” score quartileQ1Q2Q3Q4ANOVA2Q1 vs. Q4
Male / Female57 / 36131 / 88113 / 3573 / 46
Age46.7 ± 1.248.7 ± 0.748.6 ± 0.948.0 ± 0.9
Energykcal1831 ± 371811 ± 241791 ± 291727 ± 32n.s.0.042
Proteinkcal265 ± 6267 ± 4267 ± 5258 ± 5n.s.n.s.
Fatkcal540 ± 16547 ± 11552 ± 13523 ± 14n.s.n.s.
Carbohydratekcal978 ± 21942 ± 14918 ± 17905 ± 180.0450.015
Alcoholkcal30 ± 836 ± 540 ± 627 ± 7n.s.n.s.
“Irregular mealtime” score quartileQ1Q2Q3Q4ANOVA3Q1 vs. Q4
Male / Female105 / 114119 / 7087 / 1663 / 5
Age (years)51.3 ± 0.848.7 ± 0.744.4 ± 0.842.4 ± 1.0
Breakfasthh:mm7:36 ± 0:037:33 ± 0:047:45 ± 0:057:33 ± 0:07n.s.n.s.
Lunchhh:mm12:34 ± 0:0212:31 ± 0:0212:43 ± 0:0412:41 ± 0:05n.s.n.s.
Supper4hh:mm19:12 ± 0:0419:29 ± 0:0420:06 ± 0:0620:35 ± 0:08<0.001<0.001
Skip breakfast4%4 ± 17 ± 19 ± 222 ± 2<0.001<0.001
Skip lunch4%6 ± 14 ± 19 ± 26 ± 2n.s.n.s.
Skip supper4%2 ± 13 ± 13 ± 14 ± 1n.s.n.s.

Mean ± SE. 1Fixed effect: “Sedentary behavior” score quartiles; covariates: sex and age. 2Fixed effect: “Calorie restriction” score quartiles; covariates: sex and age. 3Fixed effect: “Irregular mealtime” score quartiles; covariates: sex and age. 4Data were log-transformed for ANOVA.