# Dietary Habits of Female University Students in Eastern Slovakia in the Context of Sports Activity
## 3 Results
### Frequency of Meals
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multirow{2}{*}{**SA**} & \multicolumn{2}{c}{**SA-0**} & \multicolumn{2}{c}{**SA-N**} & \multicolumn{2}{c}{**1x**} & \multicolumn{2}{c}{**2x**} \\ \cline{2-9}  & \(\chi^{2}\) & \(p\) & \(\chi^{2}\) & \(p\) & \(\chi^{2}\) & \(p\) & \(\chi^{2}\) & \(p\) \\ \hline SA-N & 361.34 & **+** & & & & & \\
1x weekly & 0.228 & 0.633 & 348.072 & **+** & & & \\
2x weekly & 0.117 & 0.732 & 351.823 & **+** & 0.18 & 0.893 & & \\
3x weekly & 0.883 & 0.347 & 335.192 & **+** & 0.214 & 0.644 & 0.357 & 0.550 \\ \hline \hline \end{tabular}  
* N—absolute count, %—relative count
* significance at \(p\) < 0.05; **–significant at \(p\) < 0.01 \(\chi^{2}\)—chi-squared test; \(p\)—probability.  
\end{table} 
Table 4: Chi-squared test correlation between groups of SA participation. also found significant differences between the inactive group and the group that exercised 2 times a week (\(p\) < 0.05) and 3 or more times a week (\(p\) < 0.01). In addition, we analysed the correlations between the students' timing of dinner before bedtime and the frequency of SA in a week. In order to utilise the chi-squared independence test, we again had to pool several items. The differences were not significant and showed that the correlation was low and insignificant (\(\chi^{2}\) = 6.529, df = 8, \(p\) > 0.05; \(\tau\)b = 0.28; \(p\) = 0.326). In this variable, the correlation with the frequency of SA was manifested the least. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  & \multicolumn{6}{c}{**Weekly Frequency of SA (\%)**} \\  & **SA-0** & **SA-N** & **1x** & **2x** & **3x** & \(\Sigma\) \\ \hline \multicolumn{6}{c}{_Brakfast in daily regime_} \\ no, rarely & 3.9 & 17.1 & 2.5 & 2 & 2.1 & 27.4 \\ yes, mostly & 6 & 41 & 8 & 8.3 & 9.1 & 72.4 \\ Total & 9.9 & 58.1 & 10.5 & 10.3 & 11.2 & 100 \\ no, rarely & ++ & o & o & – & – & – \\ yes, mostly & \(--\) & o & o & + & + & \\ \hline \multicolumn{6}{c}{_Dinner time before sleep_} \\ no dinner & 0.5 & 1.3 & 0.4 & 0.2 & 0.6 & 3 \\
1–2 h & 4.4 & 22.6 & 3.7 & 3.8 & 4.1 & 38.6 \\
3–4 h & 5 & 34.1 & 6.4 & 6.3 & 6.6 & 58.4 \\ Total & 9.9 & 58.1 & 10.5 & 10.3 & 11.2 & 100 \\ no dinner & o & o & o & o & o \\
1–2 h & o & o & o & o & o \\
3–4 h & o & o & o & o & \\ \hline \end{tabular} \({}^{*}\)*– positive adjusted residuals \({}^{*}\)—— negative adjusted residual; one symbol—95% significance, two symbols–99% significance; three symbols—99.9% significance; “o”— deviation not significant.  
\end{table} 
Table 6: Relation between consumption of breakfast in the daily regime, dinner time, and frequency of SA. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  & \multicolumn{6}{c}{**Weekly Frequency of SA (\%)**} \\  & **SA-0** & **SA-N** & **1x** & **2x** & **3x** & \(\Sigma\) \\ \hline \multicolumn{6}{c}{Daily eating frequency} \\
1–2x/day & 1.5 & 4.5 & 0.6 & 0.8 & 0.8 & 8 \\
3–4x/day & 7 & 42.5 & 7.3 & 6.9 & 6.8 & 70.7 \\
5–6x/day & 1.3 & 11.1 & 2.6 & 2.6 & 3.6 & 21.3 \\ Total & 9.8 & 58.1 & 10.5 & 10.3 & 11.2 & 100 \\
1–2x/day & ++ & o & o & o & o & \\
3–4x/day & o & + & o & o & – & \\
5–6x/day & – & – & o & o & ++ & \\ \hline \end{tabular} \({}^{*}\)*– positive adjusted residuals \({}^{*}\)—— negative adjusted residual; one symbol—95% significance, two symbols–99% significance; three symbols—99.9% significance; “o”— deviation not significant.  
\end{table} 
Table 5: Relation between daily eating frequency, meal distribution, and frequency of SA.