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

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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