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 quartile
Q1
Q2
Q3
Q4
ANOVA1
Q1 vs. Q4
Male / Female
70 / 32
140 / 79
106 / 56
58 / 38
Age (years)
48.4 ± 1.1
49.2 ± 0.7
47.0 ± 0.8
47.8 ± 1.1
Vigorous (8.0 MET)4
min./week
212 ± 12
74 ± 9
17 ± 10
10 ± 13
<0.001
<0.001
Moderate (4.0 MET)4
min./week
128 ± 11
66 ± 8
21 ± 9
21 ± 11
<0.001
<0.001
Walking (3.3 MET)
min./week
253 ± 24
247 ± 16
264 ± 19
228 ± 25
n.s.
n.s.
Total MET-min./week
3045 ± 144
1670 ± 98
1091 ± 114
915 ± 148
<0.001
<0.001
“Calorie restriction” score quartile
Q1
Q2
Q3
Q4
ANOVA2
Q1 vs. Q4
Male / Female
57 / 36
131 / 88
113 / 35
73 / 46
Age
46.7 ± 1.2
48.7 ± 0.7
48.6 ± 0.9
48.0 ± 0.9
Energy
kcal
1831 ± 37
1811 ± 24
1791 ± 29
1727 ± 32
n.s.
0.042
Protein
kcal
265 ± 6
267 ± 4
267 ± 5
258 ± 5
n.s.
n.s.
Fat
kcal
540 ± 16
547 ± 11
552 ± 13
523 ± 14
n.s.
n.s.
Carbohydrate
kcal
978 ± 21
942 ± 14
918 ± 17
905 ± 18
0.045
0.015
Alcohol
kcal
30 ± 8
36 ± 5
40 ± 6
27 ± 7
n.s.
n.s.
“Irregular mealtime” score quartile
Q1
Q2
Q3
Q4
ANOVA3
Q1 vs. Q4
Male / Female
105 / 114
119 / 70
87 / 16
63 / 5
Age (years)
51.3 ± 0.8
48.7 ± 0.7
44.4 ± 0.8
42.4 ± 1.0
Breakfast
hh:mm
7:36 ± 0:03
7:33 ± 0:04
7:45 ± 0:05
7:33 ± 0:07
n.s.
n.s.
Lunch
hh:mm
12:34 ± 0:02
12:31 ± 0:02
12:43 ± 0:04
12:41 ± 0:05
n.s.
n.s.
Supper4
hh:mm
19:12 ± 0:04
19:29 ± 0:04
20:06 ± 0:06
20:35 ± 0:08
<0.001
<0.001
Skip breakfast4
%
4 ± 1
7 ± 1
9 ± 2
22 ± 2
<0.001
<0.001
Skip lunch4
%
6 ± 1
4 ± 1
9 ± 2
6 ± 2
n.s.
n.s.
Skip supper4
%
2 ± 1
3 ± 1
3 ± 1
4 ± 1
n.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.
