Descriptive analysis:
Demographic factors:
We targeted university students and their connection to the general lifestyle, and the total number of our sample is 432 male and female students, after 478 male and female students participated in the study, 46 individuals who did not meet the entry criteria were excluded.
Their ages were distributed within the twenties, as it is the age group to which university students belong, so we note that the average age was 23.75, and the most frequent age was the age of 24 years
As for gender, we find that the sample is homogenous here, as the percentage of males is close to the percentage of females, reaching 45.6% and 54.4%, respectively.
With regard to the marital status of the respondents, we find here that the vast majority of them are single men and women at a rate of about 90%, while only 10.5% are married men and women.
As for the economic situation, it has been divided here into four basic degrees:
Bad: Refers to the inability to secure basic needs, and their percentage was the lowest here, 4.4%.
Medium: Refers to the ability to secure basic needs only, and their percentage is 20%.
Good: They are the majority here, 62%, and they are the ones who have the ability to secure basic needs along with some secondary needs
Excellent: their percentage was 13% of the sample.
Prevalence of obesity according to values BMI:
When comparing the average weight coefficient between males and females, we notice that there are higher values among males, with an average of about 25.6, indicating an increase in weight among males at its minimum, while the average BMI is lower among females, amounting to about 23, indicating a tendency for females to have a more normal weight.
There is a relationship with a story of obesity among the sample members:
We see that 71% of the respondents have relatives of the first or second degree who suffer from obesity, and this percentage is significantly higher than patients who have a negative family history.
Evaluation of smoking habits among the studied sample:
We find that the largest percentage of our sample members are non-smokers, about 74%, which is a remarkable percentage indicating a high degree of awareness among the intended students in our study.
Drug history and its statistical representation in our sample:
Here we focused on two types of medication, the first is anti-allergic drugs, and the percentage of users of them reached 12%, while the percentage of users of respiratory nebulizers was only 6%, while the rest of the patients did not use any of the aforementioned, and their percentage was about 82%.
The number of daily study hours:
We are trying to investigate it here in an attempt to link it to the habits of inactivity and lack of movement that cause obesity, and with an abstract analysis of the sample, we note here that the largest percentage of the respondents has a range of study hours ranging between 4 and 6 hours per day at a rate of 31%, and also between 2 and 4 hours by 28%
And by measuring the number of study hours according to their distribution according to gender, we find that the largest percentage of males study fewer hours compared to females. And it is a remarkable result in our study.
The number of main meals eaten per day:
We now list an important and main determinant that is an indicator of the association of the general daily lifestyle with the occurrence of obesity, and the next studied quantitative factor refers to the number of meals eaten per day, and here we see a remarkably balanced concentration of the sample among the number of 2 meals per day. And slightly less than them, about 23% of individuals eat 3 meals per day
The number of fast food meals eaten per week:
We find that the percentages are somewhat satisfactory, as the largest percentage, about half of the sample, usually eat one meal per week (33%) or two meals (28%), while 17.5% do not resort to eating prepared foods periodically.
The sample is distributed according to the question about eating habits after 12 o'clock at night:
When we asked if they ate late at night, we found here a convergence between those who answered yes, 42% and no, 58%, in a remarkable and important way.
Food preferences are distributed among the studied sample:
The next question deals with the pattern of food preferences, between salty food, which constituted a higher percentage, amounting to 56%, and food rich in sugar, which is associated with higher rates of obesity, and its percentage here was lower than before, but still a high percentage of 44%.
The sample is distributed according to the means of transportation used daily (except for going to the university):
Here we address the question about the means of transportation usually used because it has a role in an important indicator related to daily physical activity as a daily lifestyle, and here we see that the majority use a private car 39%, or public transportation their percentage is 33%, while the remarkable percentage here is 28% indicating a percentage Individuals who resort to walking usually in their movements, which is a satisfactory percentage compared to other studies
Average number of hours of exercise per week:
The important factor related to the daily life habits of the respondents and their impact on the occurrence of obesity for them is exercise and its weekly frequency in hours. Only 7% exercise weekly, with 5 or 6 hours per week
As for the comparison between males and females, we notice that the distribution of more sports hours is among males, so we see high rates of exercise for two or more hours per day among males, unlike females, who in the majority exercise an hour per day.
The average number of hours of daily sleep among the respondents:
Sleep habits also have a share in our study, here we see that the largest and greatest percentage of our sample members receive healthy sleep quotas of 6 hours (80%) or more (18.4%)
The average number of hours of sitting watching TV and using mobile phones and computers per day:
The next question is a major and crucial indicator associated with it, the distribution of obesity cases among young people, especially among university students, related to the number of hours of sitting and rest associated with watching television, mobile phones and computers, and here we find high percentages of prolonged daily use, so we find that 62% spend 4 Or 5 hours a day in habits of prolonged rest
Percentages of following the diet among the sample:
We find that the largest percentage of our sample members do not follow any type of diet, 77%, which is a remarkable percentage here in the context of our research.