
Figure 1: Description of the study population. Participants were 64 female students. Causal effects using the Bayesian network were analyzed in the subjects of 46.
Options |
Items |
Do you have likes and dislikes? |
Yes, No. |
How long do you sleep per day? |
Free descriptive answer. |
How long do you exercise per day? |
|
How often do you dine out? |
1: I hardly do at all. |
Do you feel difficulty in enjoying life? |
1: I am not applicable at all. |
Table 1: Options and items on the questionnaire.
Subjects with food dislikes |
Subjects without food dislikes |
P§ |
||||
Mean |
SD |
Mean |
SD |
|||
Abdominal circumferences (cm) |
73 |
6 |
68 |
4 |
0.02 |
Table 2: Effects of food dislikes on abdominal circumferences.
Subjects were forty-two students. §probability calculated using the t test between subjects with (n=15) and subjects without dislikes (n=27).
Indepen-dent variables |
F-ratio |
P§ |
Regression coefficient |
SE |
P §§ |
Sect-ion |
SE |
P§ § |
||
Following regular meal-times |
8.08 |
0.01 |
-1.86 |
0.66 |
0.007 |
77.3 |
2.3 |
< 0.001 |
||
Having a habit to re-evaluate the various diets one has eaten |
2.16 |
0.2 |
||||||||
Cleaning-up the plate |
0 |
0.9 |
Table 3. Effects on the abdominal circumferences.
Dependent variable: Abdominal circumferences
Subjects were 41 students.
§ probability calculated linear regression analysis (Residual degree of freedom = 39).
§§ probability calculated a linear line with least the square average method (n=41).
Figure 1: Description of the study population. Participants were 64 female students. Causal effects using the Bayesian network were analyzed in the subjects of 46.
Figure 2:Causal effects between duration of sleep, duration of sleep, physical activity, stress, percentages of body fat, BMI, abdominal circumference, the existence of a habit to re-evaluate the various diets one has eaten, avoiding greasy food, eating with a full stomach, cleaning-up the plate, cooking at home, food dislikes, feeling difficulty in enjoying life, skipping a meal, following regular meal-times, chewing well, dining out. Causal effects were analyzed using the Bayesian network analysis Causes and effects are indicated by lines and arrowheads, respectively. Black circles represent discrete variables, and white circles represent ordinal variables.
Tables at a glance
Figures at a glance