| Literature DB >> 21487499 |
Kang Ok Cho1, Sang Nam Nam, Yeon Soo Kim.
Abstract
The purpose of this study was to assess the metabolic profile and nutrient intake data in Korean adolescents according to exercise regularity using the forth Korean National Health and Nutrition Examination Survey from 2008 data. A total of 834 Korean adolescents (440 boys, 394 girls) aged 12 to 18 years were classified into exercising male (EM), non-exercising male (NM), exercising female (EF), and non-exercising female (NF) groups. EM exhibited significantly higher weight (P < 0.001), waist circumference (WC) (P < 0.01) and body mass index (BMI) (P < 0.001) than NM. EF showed significantly greater height (P < 0.01), weight (P<0.001), WC (P < 0.001), and BMI (P < 0.001) than NF. Although ratios of macronutrient intake were within the appropriate range in all groups, energy, riboflavin, vitamin C and calcium were assessed as in adequate by the nutritional adequacy ratio (NAR) in all groups. Moreover, EF and NF had inadequate intake of vitamin A and iron according to NAR, respectively. There were significant correlations between height and NAR protein (r = 0.249, P < 0.001), and mean adequacy ratio (MAR) (r = 0.177, P < 0.01), and between weight and NAR protein (r = 0.180, P < 0.01), and MAR(r = 0.136, P < 0.05) in EM. On the other hand, there were significant correlations between weight and NAR protein (r = 0.270, P < 0.01), WC and NAR protein (r = 0.271, P < 0.01), and BMI and NAR protein (r = 0.326, P < 0.01) in NM. There were significant correlations height and NAR Fe (r = 0.153, P < 0.05) in EF. However, there were no significant correlations between metabolic factors and nutritional adequacy in NF. Although we noted no significant differences in MAR between the groups, the exercising groups showed higher MAR values than the non-exercising groups. Therefore, practicing of ideal dietary behaviors appears to be induced through physical activity and regular exercise in Korean adolescents.Entities:
Keywords: 2008 KNHNES; Korean adolescent; Metabolic factor; nutritional adequacy; regular exercise
Year: 2011 PMID: 21487499 PMCID: PMC3061273 DOI: 10.4162/nrp.2011.5.1.66
Source DB: PubMed Journal: Nutr Res Pract ISSN: 1976-1457 Impact factor: 1.926
Composition of the subjects
Values are n (%). ***P < 0.001; significant difference by χ2-test.
Anthropometric and blood pressure data for the subjects
Values are Mean ± SE.
##P < 0.01, ###P < 0.001: significant difference between the exercising male group and non-exercising male group
**P < 0.01, ***P < 0.001: significant difference between the exercising female group and non-exercising female group.
Composition of subjects according to BMI
Values are n (%). **P < 0.01, ***P < 0.001; significant difference by χ2-test.
Biochemical characteristics of the subjects
Values are Mean ± SE.
Daily nutrient intakes of the subjects
Values are Mean ± SE. #P < 0.05: significant difference between the exercising male group and non-exercising male group.
Nutritional adequacy of the subjects
Values are Mean ± SE.
NAR = (The amount of nutrient intake/Recommended amount of nutrient), each truncated at 1.0. MAR = (The sum of N NAR / N).
#P < 0.05: significant difference between the exercising male group and non-exercising male group.
Correlations between nutritional adequacy and metabolic factor in male adolescent subjects
Values are Mean.
NAR = (The amount of nutrient intake/Recommended amount of nutrient); MAR = (The sum of N NAR / N)
*P < 0.05, **P < 0.01, ***P < 0.001: significant correlations between metabolic factors and nutritional adequacy. EM, exercising male group; NM, non-exercising male group
Correlations between nutritional adequacy and metabolic factors in female adolescent subjects
Values are Means.
NAR = (The amount of nutrient intake/Recommended amount of nutrient); MAR = (The sum of NAR / N)
*P < 0.05, **P < 0.01: significant correlations between metabolic factors and nutritional adequacy. EF, exercising female group; NF, non-exercising female group