## 3 Results and Discussion
### Laboratory Analysis  
Table 3 depicts information on the active substances analyzed, the number of commodities (fruit and/or vegetables) analyzed for each active substance, the number of sampled commodities, the number of samples with values above limit of detection (LOD) \begin{table}
\begin{tabular}{l l l} \hline \hline
**Demographic Characteristics** & & **Total** \\ \hline Sex & Male & 119 (31.6\%) \\  & Female & 258 (68.4\%) \\ \hline Age & Adolescents (10–19 years of age) & 129 (34.2\%) \\  & Young adults (20–24 years of age) & 248 (65.8\%) \\ \hline Average body weight (kg) & Male & 60.4 \(\pm\) 9.9 \\  & Female & 77.2 \(\pm\) 16.4 \\  & Total & 65.7 \(\pm\) 14.5 \\ \hline Body mass index & Underweight (BMI \(<\) 18.5) & 32 (8.5\%) \\  & Healthy weight (18.5 \(<\) BMI \(\leq\) 24.9) & 295 (78.2\%) \\  & Overweight (BMI \(>\) 25.0) & 50 (13.3\%) \\ \hline FFQ recall model & Average daily intake of fruits (g/day) & 187.5 \(\pm\) 184.0 \\  & Average daily intake of vegetables & 236.9 \(\pm\) 178.2 \\  & Average daily intake of fruits and & 424.4 \(\pm\) 424.1 \\  & vegetables (g/day) & 123.2 \(\pm\) 135.9 \\
24 h recall model & Average daily intake of vegetables & 150.2 \(\pm\) 145.4 \\  & Average daily intake of fruits and & 273.4 \(\pm\) 202.9 \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Demographic profile of young adulthood population (N = 377). \begin{table}
\begin{tabular}{l c c} \hline \hline
**Food Commodity** & **In-between Sexes** & **In between Age Groups** \\ \hline Apple & \(\chi^{2}=1.978,p>0.05\) & \(\chi^{2}=2.876,p>0.05\) \\ Apricot & \(\chi^{2}=5.258,p>0.05\) & \(\chi^{2}=6.012,p>0.05\) \\ Banana & \(\chi^{2}=3.317,p>0.05\) & \(\chi^{2}=2.632,p>0.05\) \\ Blackberry & \(\chi^{2}=10.880,p<0.05\) * & \(\chi^{2}=4.217,p>0.05\) \\ Blueberry & \(\chi^{2}=2.198,p>0.05\) & \(\chi^{2}=1.127,p>0.05\) \\ Cherry & \(\chi^{2}=4.819,p>0.05\) & \(\chi^{2}=2.041,p>0.05\) \\ Grapes & \(\chi^{2}=1.894,p>0.05\) & \(\chi^{2}=6.040,p>0.05\) \\ Melon & \(\chi^{2}=6.577,p>0.05\) & \(\chi^{2}=6.645,p>0.05\) \\ Orange & \(\chi^{2}=3.451,p>0.05\) & \(\chi^{2}=10.543,p<0.05\) * \\ Peach & \(\chi^{2}=3.370,p>0.05\) & \(\chi^{2}=1.757,p>0.05\) \\ Pear & \(\chi^{2}=1.074,p>0.05\) & \(\chi^{2}=2.433,p>0.05\) \\ Plums & \(\chi^{2}=1.341,p>0.05\) & \(\chi^{2}=6.676,p>0.05\) \\ Raspberry & \(\chi^{2}=7.447,p>0.05\) & \(\chi^{2}=3.455,p>0.05\) \\ Strawberry & \(\chi^{2}=1.962,p>0.05\) & \(\chi^{2}=10.494,p>0.05\) * \\ Tangerine & \(\chi^{2}=3.774,p>0.05\) & \(\chi^{2}=15.121,p<0.05\) * \\ Carrots & \(\chi^{2}=1.027,p>0.05\) & \(\chi^{2}=1.835,p>0.05\) \\ Cherry tomato & \(\chi^{2}=5.451,p>0.05\) & \(\chi^{2}=4.369,p>0.05\) \\ Cucumber & \(\chi^{2}=3.486,p>0.05\) & \(\chi^{2}=2.052,p>0.05\) \\ Green salad & \(\chi^{2}=3.432,p>0.05\) & \(\chi^{2}=0.619,p>0.05\) \\ Onion & \(\chi^{2}=12.986,p<0.05\) * & \(\chi^{2}=8.748,p<0.05\) * \\ Tomato & \(\chi^{2}=7.667,p>0.05\) & \(\chi^{2}=1.341,p>0.05\) \\ \hline \hline \end{tabular}  
* Results show Pearson chi-square (\(\chi^{2}\)) value and significance level value (\(p\)); items with sign (\(\gamma\)) are significantly different at level of 5%. FFQ—food frequency questionnaire. Frequency options: ‘daily’, ‘weekly’ (2–4 times per week), ‘monthly’ (up to 3 times per month) and ‘rarely’ (a few times per year or never).  
\end{table} 
Table 2: Analysis of the frequency of consumption in-between sex and age groups, based on FFQ results. and the number of samples with values above maximum residue level (MRL). A total of 29 active substances with an effect on 'health effect #1' (hypothyroidism) as outlined by [PERSON] et al. [16] and [PERSON] et al. [17] were identified in 35 different types of fruits and vegetables.