Page 60 - AIH-2-4

Artificial Intelligence in Health Synthetic data for obesity level prediction

Figure 1. Gender distribution

Figure 2. Distribution of family history of obesity

As shown in Figure 3, a similar pattern is observed frequently selected option, with 289 individuals. The
in responses related to the consumption of high-calorie remaining responses include “often” (n = 136), “always”
foods. The “yes” option predominates, with 348 individuals (n = 53), and “no” (n = 20), each representing smaller
(69.9%) indicating frequent consumption, while the “no” portions of the sample.
option accounts for the remaining 30.1% of the sample. The sample population consisted of 32 smokers and 466
The frequency of vegetable consumption was nonsmokers, corresponding to 6.4% and 93.6% of the total,
categorized into three response options: sometimes, always, respectively. These proportions are illustrated in Figure 7.
and never. The number of responses for each category was An analysis of the daily water consumption reveals that
272, 194, and 32, respectively. As illustrated in Figure 4, 135 individuals consume <1 L, 266 individuals consume
these correspond to proportions of 54.6%, 39%, and 6.4%, between 1 and 2 L, and 97 individuals consume more than
respectively. 2 L/day. The corresponding scatter plot is presented in
In the distribution of the number of main meals, the Figure 8.
option of consuming three meals per day ranked first, with A total of 55 individuals reported monitoring their
344 individuals (69.1%). As illustrated in Figure 5, 108 caloric intake, whereas 443 individuals did not. As shown
individuals (21.7%) reported consuming only one meal, in Figure 9, these correspond to 11% and 89% of the
while 46 individuals (9.2%) reported consuming four sample, respectively.
meals daily.
The data indicate that 158 individuals (31.7%) engage in
As illustrated in Figure 6, the distribution of intermeal physical activity one or 2 days/week, while 162 individuals
food consumption indicates that “sometimes” is the most (32.5%) do not engage in any physical activity. In addition,

Volume 2 Issue 4 (2025) 54 doi: 10.36922/AIH025140027