## 4 Discussion  
As far as we know, this study is among the few thatexamined several lifestyle and anthropometric correlations of vegetable consumption in a country-representative population. We have included data from 177,091 children (ages 8 to 17) to provide consistent, standardised, and comparable results. The following are the most significant findings: (a) Almost one in four schoolchildren ate more than one vegetable each day; (b) participants consuming vegetables presented lower obesity rates and better aerobic fitness; and (c) consuming more vegetables was strongly associated with longer sleep duration, more PA, and healthy eating practices, as well as decreased screen time. The first noteworthy finding was that the participants who consumed more than one vegetable daily wereonly 25%. Data from a national survey in the USA (2015-2018) showed that almost 90% of the participants (aged 2 to19 years) at vegetables every day [33]. Other data among adolescents in North America, Europe, and Oceania proposed that the mean vegetable and fruit intake was significantly lower than the recommendation \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Predictors** & **Model 1** & **Model 2** & **Model 3** & **Model 4** \\  & **OR (95\% CI)** & **OR (95\% CI)** & **OR (95\% CI)** & **OR (95\% CI)** \\ \hline \multicolumn{4}{c}{**Boys**} \\ \hline Age (per 1 year) & 0.92 (0.91–0.93) & 0.93 (0.91–0.94) & 0.93 (0.92–0.94) & 0.92 (0.90–0.92) \\ BMI category (normal weight vs. & 0.80 (0.72–0.87) & 0.81 (0.74–0.88) & 0.80 (0.72–0.88) & 0.80 (0.72–0.87) \\ overweight/obese) & 0.87 (0.84–0.92) & 0.89 (0.85–0.92) & 0.89 (0.86–0.93) & 0.90 (0.87–0.94) \\ Abdominal obesity (no vs. yes) & 0.87 (0.84–0.92) & 0.89 (0.85–0.92) & 0.89 (0.86–0.93) & 0.90 (0.87–0.94) \\ KIDMED index (insufficient vs. & & & & \\ relatively/sufficient & & 3.60 (3.49–3.70) & 3.59 (3.50–3.69) & 3.60 (3.51–3.68) \\ dietary habits) & & & & \\ Sleeping hours (sufficient vs. insufficient) & & & 0.80 (0.76–0.83) & 0.80 (0.77–0.84) \\ Screen time (acceptable vs. increased) & & & 0.81 (0.77–0.85) & 0.80 (0.76–0.84) \\ Physical activity (adequate vs. & & & & 0.70 (0.65–0.75) \\ inadequate) & & & & 1.02 (1.00–1.03) \\
20 m shuttle run (per 1 lap) & & & & \\ \hline \multicolumn{4}{c}{**Girls**} \\ \hline Age (per 1 year) & 0.90 (0.88–0.92) & 0.90 (0.89–0.91) & 0.90 (0.88–0.91) & 0.91 (0.89–0.93) \\ BMI group (normal weight vs. & 0.81 (0.74–0.88) & 0.80 (0.73–0.86) & 0.81 (0.74–0.89) & 0.82 (0.74–0.89) \\ overweight/obese) & 0.88 (0.85–0.92) & 0.89 (0.86–0.92) & 0.90 (0.88–0.93) & 0.91 (0.89–0.94) \\ KIDMED index (relatively/sufficient vs. & & & & \\ insufficient & & 3.70 (3.56–3.81) & 3.69 (3.60–3.78) & 3.68 (3.59–3.70) \\ dietary habits & & & & \\ Sleeping hours (sufficient vs. insufficient) & & & 0.84 (0.81–0.87) & 0.83 (0.80–0.86) \\ Screen time (acceptable vs. increased) & & & & \\ \multicolumn{4}{c}{(0.80–0.0.86)} \\ \multicolumn{4}{c}{Physical activity (adequate vs. & & & \\ inadequate) & & & & 0.71 (0.66–0.77) \\
20 m shuttle run (per 1 lap)} & & & & 1.01 (1.00–1.02) \\ \hline \hline \end{tabular} Model 1: adjusted for age and BMI group and abdominal obesity; Model 2: Model 1 + KIDMED index; Model 3: Model 2 + screen score and sleeping level; Model 4: Model 3 + physical activity levels and aerobic fitness measurements.  
\end{table} 
Table 4: Results (OR, 95% CI) from logistic regression models used to evaluate the association of children’s (8 to 17 years old) characteristics with increased vegetable consumption (no vs. yes). (400 g/daily) [34]. Conclusively, it seems that vegetable intake varies significantly between and within countries [35]. Another important point was the significant decrease in the age effect of increased vegetable consumption, from 27.6% at age 8 to 18.8% at age 17. These findings are like a study from the United Kingdom, which stated that vegetable intake changed between 7 and 12 years, in both sexes (our data indicated a reduction from 27.6% at age 8 to 25.4% at age 12) [36].