Yun-Jung Bae

doi:10.5720/kjcn.2012.17.4.419

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Original Article
Evaluation of Nutrient Intake and Anthropometric Parameters related to Obesity in Korean Female Adolescents according to Dietary Diversity Score: From the Korean National Health and Nutrition Examination Surveys, 2007-2009: Yun-Jung Bae; Korean Journal of Community Nutrition 2012;17(4):419-428.
DOI: https://doi.org/10.5720/kjcn.2012.17.4.419
Published online: August 31, 2012

Department of Food and Nutritional Sciences, Hanbuk University, Gyeonggi, Korea.

Corresponding author: Yun Jung Bae, Hanbuk University, 233-1 Sangpae-dong, Dongducheon-si, Gyeonggi-do 483-120, Korea. Tel: (031) 860-1445, Fax: (031) 860-1449, byj@hanbuk.ac.kr

• Received: February 29, 2012 • Revised: April 18, 2012 • Accepted: August 8, 2012

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Abstract
REFERENCES

Abstract

The purpose of this study was to evaluate nutrient intake and anthropometric parameters related to obesity in Korean female adolescents according to dietary diversity score. We analyzed data from the combined 2007-2009 Korean National Health and Nutrition Examination Survey (KNHANES). The subjects were 770 female adolescents. Nutrient intakes, Dietary Diversity Score (DDS) ) and Dietary Variety Score (DVS) were derived by using the data from the 24-recall method. The DDS was defined as the number of six food groups (cereals, meats, fruits, vegetables, dairy, fats and oils) consumed. The DVS was defined as the number of food items consumed. The average age of the subjects of the study was 15.02 years and the average height, weight, and BMI were 159.50 cm, 52.58 kg, 20.62 kg/m², respectively. The energy and nutrients intakes, percent of the recommended intake for nutrients in DDS = 5~6 group were significantly higher than those of the other groups. Calcium and vitamin C INQ in DDS = 5~6 group were significantly higher than those of the other groups. The average DVS of the subjects was 29.33. The most frequent style of food pattern was CMDFVO (cereals, meats, dairy, fruits, vegetables, fats and oils) = 111011. In conclusion, in healthy Korean female adolescents, food diversity intake variety did beneficially affect the intakes of calcium and vitamin C. Further studies are needed to confirm these findings.
Keywords: dietary diversity score; dietary variety score; index of nutritional quality; obesity; female adolescents

REFERENCES

1. Al-Kloub MI, Al-Hassan MA, Froelicher ES. Predictors of obesity in school-aged Jordanian adolescents. Int J Nurs Pract. 2010; 16(4): 397-405.PubMed
2. Azadbakht L, Esmaillzadeh A. Dietary diversity score is related to obesity and abdominal adiposity among Iranian female youth. Public Health Nutr. 2011; 14(1): 62-69.PubMed
3. Hansen RG. An index of food quality. Nutr Rev. 1973; 31(1): 1-7.Article PubMed
4. Hansen RG, Wyse BW. Expression of nutrient allowances per 1,000 kilocalories. J Am Diet Assoc. 1980; 76(3): 223-227.PubMed
5. Jang HS. Evaluation of nutrient intakes and diet quality of rural middle school students. Korean J Community Nutr. 2001; 6(Suppl): 486-494.
6. Kant AK, Block G, Schatzkin A, Ziegler RG, Nestle M. Dietary diversity in the US population, NHANES II, 1976-1980. J Am Diet Assoc. 1991; 91(12): 1526-1531.Article PubMed
7. Kim BR, Cho YE. A study on the evaluation of food intake of middle school students in Kangneung. J Korean Soc Food Sci Nutr. 2001; 30(5): 986-999.
8. Kim DS, Cho Y, Cho SI, Lim IS. Body weight perception, unhealthy weight control behaviors and suicidal ideation among Korean adolescents. J Sch Health. 2009; 79(12): 585-592.PubMed
9. Kim HJ, Yoon JS. Food diversity and nutrient intake of elementary school students in Daegu-Kyungbook area. Korean J Community Nutr. 2010; 15(3): 297-307.
10. Kim IS, Yu HH, Kim YS. A study on nutrient intake, food behavior and health conditions according to food intake diversity in the elderly in a local city. Korean J Community Nutr. 2001; 6(2): 205-217.
11. Kim JH, Jung IK. A study on body image perception and eating disorders by gender in junior high school students in Seoul. J Korean Home Econ Assoc. 2007; 45(1): 101-109.
12. Kim MH, Bae YJ. Evaluation of diet quality of children and adolescents based on nutrient and food group intake and diet quality index-international (DQI-I). Korean J Community Nutr. 2010; 15(1): 1-14.
13. Kim O, Kim K. Body mass index, body shape satisfaction, and weight control behaviors among Korean girls. Psychol Rep. 2005; 96(3 Pt 1): 676-680.PubMed
14. Kim SH. A review on the relationship of milk consumption, dietary nutrient intakes and physical growth of adolescents. J Korean Dairy Technol Sci Assoc. 2010; 28(1): 9-16.
15. Kim SH, Kim JY, Ryu KA, Sohn CM. Evaluation of the dietary diversity and nutrient intakes in obese adults. Korean J Community Nutr. 2007; 12(5): 583-591.
16. Kontogianni MD, Farmaki AE, Vidra N, Sofrona S, Magkanari F, Yannakoulia M. Associations between lifestyle patterns and body mass index in a sample of Greek children and adolescents. J Am Diet Assoc. 2010; 110(2): 215-221.Article PubMed
17. Korea Centers for Disease Control and Prevention & The Korean Pediatric Society. Body growth standard values of Korean pediatrics and juveniles in 2007. 2007; Seoul.
18. Krebs-Smith SM, Smiciklas-Wright H, Guthrie HA, Krebs-Smith J. The effects of variety in food choices on dietary quality. J Am Diet Assoc. 1987; 87(7): 897-903.PubMed
19. Lee JE, Ahn Y, Kimm K, Park C. Study on the associations of dietary variety and nutrition intake level by the number of survey days. Korean J Nutr. 2004; 37(10): 908-916.
20. McCrory MA, Fuss PJ, McCallum JE, Yao M, Vinken AG, Hays NP, Roberts SB. Dietary variety within food groups: association with energy intake and body fatness in men and women. Am J Clin Nutr. 1999; 69(3): 440-447.PubMed
21. Ministry of Health and Welfare [MOHW] & Korea Center for Disease Control and Prevention [KCDCP]. Korea Health Statistics 2009: Korea National Health and Nutrition Examination Survey(KNHANES IV-3). 2010; Seoul.
22. Mirmiran P, Azadbakht L, Esmaillzadeh A, Azizi F. Dietary diversity score in adolescents - a good indicator of the nutritional adequacy of diets: Tehran lipid and glucose study. Asia Pac J Clin Nutr. 2004; 13(1): 56-60.PubMed
23. O'Dea JA, Wilson R. Socio-cognitive and nutritional factors associated with body mass index in children and adolescents: possibilities for childhood obesity prevention. Health Educ Res. 2006; 21(6): 796-805.PubMed
24. Ries CP, Daehler JL. Evaluation of the Nutrient Guide as a dietary assessment tool. J Am Diet Assoc. 1986; 86(2): 228-233.Article
25. Steyn NP, Nel JH, Nantel G, Kennedy G, Labadarios D. Food variety and dietary diversity scores in children: are they good indicators of dietary adequacy? Public Health Nutr. 2006; 9(5): 644-650.PubMed
26. Togo P, Osler M, Sørensen TI, Heitmann BL. Food intake patterns and body mass index in observational studies. Int J Obes Relat Metab Disord. 2001; 25(12): 1741-1751.Article PubMed PDF
27. Um JS, Park MY, Chung YJ. Composition of food groups appropriate for evaluation of diet quality of Korean adolescents-Based on Kant's minimum amount. Korean J Nutr. 2006; 39(6): 560-571.
28. Yim KS. Nutrient intake assessment of Korean elderly living in Inje area, according to food group intake frequency. Korean J Food Cult. 2008; 23(6): 779-792.

Fig. 1

Dietary Variety Score (DVS) of the subjects.

Table 1

General characteristics of the subjects

1) Mean ± SE (Means with different superscript letters are significantly different from each other by Tukey's test.)

All variables have been age-adjusted expect age.

Table 2

Dietary intakes of the subjects

1) Mean ± SE (Means with different superscript letters are significantly different from each other by Tukey's test.)

All variables have been age-adjusted.

Table 3

The percent of RNI¹⁾ of the subjects

1) Recommend Nutrient Intake

2) Estimated Energy Requirement was used

3) Mean ± SE (Means with different superscript letters are significantly different from each other by Tukey's test.)

All variables have been age-adjusted.

Table 4

The percent of the subjects consumed under EAR¹⁾ of the subjects

1) Estimated Average Requirement

2) Significance as determined by χ²-test

3) Estimated Energy Requirement was used

4) %

Table 5

Index of Nutritional Quality (INQ) of the subjects

1) Mean ± SE (Means with different superscript letters are significantly different from each other by Tukey's test.)

All variables have been age-adjusted.

Table 6

Food intakes from each food group in subjects (g/day)

1) Mean ± SE (Means with different superscript letters are significantly different from each other by Tukey's test.)

All variables have been age-adjusted.

Table 7

Distribution of food group intake pattern (CMDFVO)¹⁾ of the subjects

1) CMDFVO: cereals, meats, dairys, fruits, vegetables, fats and oils food group

1: food group(s) present, 0: food group(s) absent

For example, CMDFVO = 111111 denotes that all food group (cereals, meats, dairys, fruits, vegetables, fats and oils food group) were consumed

Figure & Data

REFERENCES

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Evaluation of Nutrient Intake and Anthropometric Parameters related to Obesity in Korean Female Adolescents according to Dietary Diversity Score: From the Korean National Health and Nutrition Examination Surveys, 2007-2009

Korean J Community Nutr. 2012;17(4):419-428. Published online August 31, 2012

DOI: https://doi.org/10.5720/kjcn.2012.17.4.419

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Fig. 1 Dietary Variety Score (DVS) of the subjects.

Fig. 1

Table 1

General characteristics of the subjects

1) Mean ± SE (Means with different superscript letters are significantly different from each other by Tukey's test.)

All variables have been age-adjusted expect age.

Table 2

Dietary intakes of the subjects

1) Mean ± SE (Means with different superscript letters are significantly different from each other by Tukey's test.)

All variables have been age-adjusted.

Table 3

The percent of RNI¹⁾ of the subjects

1) Recommend Nutrient Intake

2) Estimated Energy Requirement was used

3) Mean ± SE (Means with different superscript letters are significantly different from each other by Tukey's test.)

All variables have been age-adjusted.

Table 4

The percent of the subjects consumed under EAR¹⁾ of the subjects

1) Estimated Average Requirement

2) Significance as determined by χ²-test

3) Estimated Energy Requirement was used

4) %

Table 5

Index of Nutritional Quality (INQ) of the subjects

1) Mean ± SE (Means with different superscript letters are significantly different from each other by Tukey's test.)

All variables have been age-adjusted.

Table 6

Food intakes from each food group in subjects (g/day)

1) Mean ± SE (Means with different superscript letters are significantly different from each other by Tukey's test.)

All variables have been age-adjusted.

Table 7

Distribution of food group intake pattern (CMDFVO)¹⁾ of the subjects

1) CMDFVO: cereals, meats, dairys, fruits, vegetables, fats and oils food group

1: food group(s) present, 0: food group(s) absent

For example, CMDFVO = 111111 denotes that all food group (cereals, meats, dairys, fruits, vegetables, fats and oils food group) were consumed

Table 1 General characteristics of the subjects

1) Mean ± SE (Means with different superscript letters are significantly different from each other by Tukey's test.)

All variables have been age-adjusted expect age.

Table 2 Dietary intakes of the subjects

1) Mean ± SE (Means with different superscript letters are significantly different from each other by Tukey's test.)

All variables have been age-adjusted.

Table 3 The percent of RNI1) of the subjects

1) Recommend Nutrient Intake

2) Estimated Energy Requirement was used

3) Mean ± SE (Means with different superscript letters are significantly different from each other by Tukey's test.)

All variables have been age-adjusted.

Table 4 The percent of the subjects consumed under EAR1) of the subjects

1) Estimated Average Requirement

2) Significance as determined by χ²-test

3) Estimated Energy Requirement was used

4) %

Table 5 Index of Nutritional Quality (INQ) of the subjects

1) Mean ± SE (Means with different superscript letters are significantly different from each other by Tukey's test.)

All variables have been age-adjusted.

Table 6 Food intakes from each food group in subjects (g/day)

1) Mean ± SE (Means with different superscript letters are significantly different from each other by Tukey's test.)

All variables have been age-adjusted.

Table 7 Distribution of food group intake pattern (CMDFVO)1) of the subjects

1) CMDFVO: cereals, meats, dairys, fruits, vegetables, fats and oils food group

1: food group(s) present, 0: food group(s) absent

For example, CMDFVO = 111111 denotes that all food group (cereals, meats, dairys, fruits, vegetables, fats and oils food group) were consumed