Conference national recommendations for losing weight intake in teens

This new Pearson’s chi-square take to out-of independence to possess step 3 ? dos contingency tables was used to compare rates off in a different way energetic teenagers just who found or didn’t came across Slovenian national reference viewpoints (RV) getting each day consumption suggestions for opportunity and you may macronutrients. This new p really worth try modified in order to 0.008 on Bonferroni correction due to multiple comparisons.

All the analysis have been reviewed using IBM SPSS Statistics twenty two (IBM, Armonk, Nyc, USA). The level of analytical benefit is actually put during the 0.05.

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Our very own shot included 341 teenagers (girls letter = 179, 52.5%; boys n = 162, 47.5%) in the first year regarding middle school. The common (± basic deviation) age the fresh new adolescents is fifteen.step 3 (± 0.5) years (diversity 14 in order to 18 age).

Pure losing weight intake from inside the teenagers

As demonstrated in Table 2, the differently active boys had significantly different intake of energy (p = 0.02), carbohydrates (p = 0.03), proteins (p = 0.002), and fats (p = 0.02)). A more detailed post-hoc analysis demonstrated that VPA boys consumed significantly more energy compared to MPA boys (p = 0.01). There was no significant difference in energy intake between LPA and VPA boys (p = 0.21) and between LPA and MPA boys (p = 1.0). The same was true for carbohydrate intake (p = 0.03), although a larger intake was observed (p = 0.02) in MPA than in VPA boys. Differences between groups of differently physically active boys were also found in protein intake, namely, VPA boys consumed more proteins than LPA boys (p = 0.005), as well as MPA boys (p = 0.01). VPA boys consumed more fat than MPA boys (p = 0.02), while there was no significant difference in fat intake between LPA and VPA boys (p = 0.91) and MPA and LPA boys (p = 1.0). In girls, no statistically significant differences were found in energy (p = 0.91), carbohydrate (p = 0.83), protein (p = 0.96), or fat (p = 0.90) intake between girls with different physical activity extent. Additional gender comparisons revealed that the energy and all macronutrients (i.e. carbohydrates, proteins, and fats) intake was significantly higher in boys than in girls in all groups of physical activity (p < 0.005).>

Dining table dos Bmi, time, and you can macronutrients consumption within theluckydate zasluge the in a different way yourself energetic teens. letter, number of subjects; LPA, smaller individually productive; MPA, meagerly myself effective; VPA, strenuously truly energetic adolescents; Bmi, body mass index; M, median; importance performance gotten with Kruskal-Wallis attempt between in different ways yourself active teenagers is offered exact p-values

An assessment out of adolescent opportunity and you can macronutrient consumption with federal information try displayed given that portion of teenagers exactly who found / didn’t fulfill everyday needed worth to possess energy as well as macronutrients (carbohydrates, necessary protein, and oils) based on gender (Dining table step three) and you may physical exercise (Desk cuatro).

Dining table cuatro Percentage of differently active teens, just who satisfied otherwise did not satisfy reference worthy of (RV) getting daily opportunity and you may mineral consumption

Dealing with Desk step three, abilities demonstrated one 75% off teens was fulfilling brand new federal recommendations for one another carb and you can healthy protein intakes, when you’re merely forty two% and you may 10% off adolescents were meeting the new national ideas for body weight and effort consumption, respectively. A considerably large portion of boys (82.7%) was meeting recommendations for proteins intake than just girls (67.0%) (p = 0.001). In contrast, no statistical variations in appointment the fresh national testimonial had been discover ranging from boys and girls to own both times (p = 0.18), carbs (p = 0.06), or fats (p = 0.41).

Results found (Desk cuatro) there was in fact no statistically extreme variations in the latest percentages regarding teens exactly who fulfilled / did not fulfill time and you will macronutrient recommendation ranging from differently productive boys and you will girls.