All treatments were performed using a confidence level of 99% (p = 0.01) or 95% (p = 0.05). Therefore, from a total of 18.986 subjects presents in the referred institution, it is the universe, was calculated the “n” of 3.402 subjects to 99% of confidence. Here, were taken 7.379 volunteers which warrant a Power of Experiment of 98,83% a very high level. If taken separately, to the Araguaia Campus, from universe of 2.494 people, the calculated “n” was of 733 subjects, however, were used 805 which warranted an experiment power of 96.36%. To Cuiabá Campus, with Universe of 10157, the “n” was calculated in 3.945, were used 4152 warranting an experiment power calculated in 98.46%. In regards, the Rondonópolis Campus, with a universe composed by 3.739 students the calculated “n” was 910 subjects, was reached 914 subjects and the experiment power calculated were of 96.98%. Finally, the last campus investigated was Várzea Grande, with universe composed by 761, and calculated “n” of 322 to 95% of confidence, and, here participated exactly 322 which allowed calculi the experiment power of 95,85%. This conjunct of data, if taken together, allow to conclude that the results and conclusion are very robustly supported to the statistical methods here displayed.
Of the 18,986 students enrolled in the 5 UFMT campuses in the 2018/1 semester, 9.720 students accessed the questionnaire. Of these, 7.379 had their responses validated, corresponding to 75.92% of accesses or 38.87% of the study universe. Table 1 shows the sample composition divided among campuses. Sinop, women and beginners present themselves with a higher percentage of participation in the research, followed by Rondonópolis and Cuiabá. However, the largest absolute number of participants was observed in the state capital, Cuiabá.
Table 2 shows the distribution of participants by areas of knowledge on all campuses, which follows the methodology adopted by the Coordination for the Improvement of Higher Education Personnel - CAPES (BRASIL; CAPES, 2017), of the Ministry of Education of Brazil (MEC). Altogether, data from eight areas of knowledge were considered, based on existing courses at UFMT. The courses distribution does not happen on an equal basis in all campuses, as it depends on the vocation of each region where the campuses are installed. It is noted the predominance of student participation in the area of Applied Social Sciences, followed by Human Sciences and Engineering, while low adherence in the areas of Linguistics and Arts.
With regard to the number of physical activity was performed per week, physical exercise was defined as participation in sports activities for at least 20 minutes, causing the student to sweat and breathe hard, such as basketball, jogging, swimming, tennis, weight training, cycling or similar aerobic activities. The student could select one of the alternatives provided in the questionnaire, which was presented as a Likert scale ranging from zero to 7 times. Table 3 shows the distribution of the absolute numbers and percentages for this variable across all campuses. The distribution frequency of practice by strata reveals little physical activity on all campuses, since the highest percentages are in decreasing form in the number of times that the academic exercises and the highest rates are only once in all.
Figure 1 shows the distribution of means of physical activity on each of the campuses. Here, were noted differences among the Rondonópolis vs Araguaia (p = 0.0008), vs Cuiaba (p = 0.037), and vs Sinop (p = 0.0167). All other comparison do not exhibit differences.
When comparing the campuses, the results show physical inactivity in the four realities: the number of times physical activity was performed per week was approximately 2 times. On the Rondonópolis campus, there is a higher frequency of students with a low number of weekly physical activity sessions, while on the Cuiabá campus, the number of weekly physical activity sessions was highest, with a statistically significant difference between the 2 campuses.
Figure 2 shows the results of the comparisons between the study areas of all campuses. Notably, no comparisons were made between the study areas of the Várzea Grande campus, because it currently offers only Engineering programs.
In the comparative analysis between the study areas of each of the campuses, a low number of weekly sessions of physical activity was common, with significant differences only between the Cuiabá and Rondonópolis campuses. In Cuiabá, students in the areas of Health Sciences, Exact Sciences and Engineering showed higher levels of physical activity, with significant differences between the areas of Humanities and Linguistics, and students of Health Sciences were more active than those of Sciences Social Sciences, Agrarian Sciences and Biological Sciences. On the Rondonópolis campus, the same results were observed, as students in the areas of Health Sciences and Engineering were statistically more active than those in the area of Linguistics. The Araguaia and Sinop campuses, despite the low number of weekly sessions of physical activity, did not show significant differences between the study areas.
In regard to the Araguaia and Sinop campuses no differences were observed (p>0.05) (Fig. 2A and 2C). To the Cuiabá campus the health area did difference to Social area (p = 0.0092), Agricultural, Biological (p = 0.0001), Humanities (p = 0.0001), and Linguistics areas (p = 0.0001). Rondonópolis campus display difference from Linguistics area to Health area (p = 0.0003), to Social area (p = 0.0007), and to Engineering area (p = 0.0001).
Based on the findings displayed in the Fig 2, we analyzed the possibility of differences between programs in the fields with the highest levels of physical inactivity on the Cuiabá and Rondonópolis campuses. Figure 3 shows the comparison between the Humanities and Linguistics programs.
In regards the treated in the Fig. 3 no differences were noted (p>0.05) for all treatments. The results show that on the Cuiabá campus, in the Humanities fields, student in the Philosophy - Bachelor’s, morning History and morning and evening Pedagogy programs performed nearly no physical activity, and students in the other programs also participated in a low number of weekly physical activity sessions, 1 to zero times per week. In Linguistics, the students in the language and literature programs reported very little physical activity, with Spanish language being particularly concerning; in the Arts field, students in the Cinema and Radio programs participated in very few physical activity sessions. On the Rondonópolis campus, students in the 2 Linguistics programs reported low levels of physical activity, with students in the Portuguese Language program reporting the highest levels of physical inactivity. No significant differences were found between the programs in the fields studied for the 2 campuses.
Regarding the graduation stage, the possible differences in the amount of physical activity by students at admission and graduation may reveal characteristics acquired during their life as a university student. Thus, Table 4 shows a comparison of the number of weekly physical activity sessions for entering and graduating students. Figure 4 shows a comparison of physical activity among entering and graduating students.
The data per campus in the comparative analysis between entering and graduating students did not indicate a clear pattern regarding the number of physical activity sessions, and the same was true when comparing the campuses among each other. That is, the students on each campus behave differently for each variable. However, for absolute inactivity, entering students were predominant, with the exception of those on the Sinop campus. When considering physical activity 2 and 3 times a week, the graduating students predominated.
Here, in the Fig 4, stood evident that the graduating students in comparison with the entering students has less physical inactivity (p = 0.0005).
Figure 5 shows a comparison of the mean weekly physical activity sessions between entering and graduating students within the Capes fields of study at each of the campuses. Here were performed several comparisons. The data revealed that on the Araguaia campus, there were no differences when the fields of study were compared among each other, but there were differences between entering and graduating students in the Exact Sciences field. In Cuiabá, in turn, there were differences between the entering students of the Social Sciences field and the graduating students of the Health Sciences field and between the entering and graduating students of the Health Sciences field. The other campuses did not show differences between fields of study and between groups of entering and graduating students.
The Fig 5A an intracampuses investigation revel difference among entering vs graduating students of Araguaia campus (p = 0.0001), Cuiabá (p = 0.0051), and, to General analysis (p = 0.0001), without other difference observed. The Fig 5B that exhibit an intercampuses comparison no differences were noted (p>0.05). In regard the Fig 5C about the Araguaia campus, Fig 5D Cuiabá campus, Fig 5E Rondonópolis campus and 5F Sinop campus that are exhibited the comparison among entering and graduating students no differences were noted to all comparisons (p>0.05).
To understand how participation in physical activity behaves, it is important to consider how both genders behave on all campuses. Figure 6 shows a comparison by gender for campuses and overall. The data unanimously showed low physical activity among women overall and on all campuses, with significant differences in all comparisons. When all campuses were analyzed together, women showed significant physical inactivity, at a higher level than that reported by men overall and by men on the Cuiabá and Sinop campuses.