Hyae Min Gu; So Yeon Ryu; Jong Park; Mi Ah Han; Yeong Eun Son

doi:10.5720/kjcn.2016.21.6.545

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Research Article
Comparison of Diet Quality and Diversity according to Obesity Type among 19-64 year old Korean Adults: Hyae Min Gu, So Yeon Ryu, Jong Park, Mi Ah Han, Yeong Eun Son; Korean Journal of Community Nutrition 2016;21(6):545-557.
DOI: https://doi.org/10.5720/kjcn.2016.21.6.545
Published online: December 31, 2016

¹Department of Health Science, Graduate School of Chosun University, Gwangju, Korea.

²Department of Preventive Medicine, College of Medicine, Chosun University, Gwangju, Korea.

Corresponding author: So-Yeon Ryu. Department of Preventive Medicine, College of Medicine, Chosun University, 309 Pilmundae-ro, Dong-gu, Gwangju 61452, Korea. Tel: (062) 230-6483, Fax: (062) 225-8293, canrsy@chosun.ac.kr

• Received: October 13, 2016 • Revised: December 9, 2016 • Accepted: December 22, 2016

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract
REFERENCES

Abstract

Objectives
This study was performed to compare the diet quality and diversity according to types of obesity categorized by body mass index and waist circumference among Korean adults aged 19-64 years.
Methods
This study used the data of the 5th Korea National Health and Nutrition Examination Survey (KNHANES-V) and included 11,081 study participants. Type of obesity was categorized into 4 groups (Type 1: BMI obesity + abdominal obesity; Type 2: BMI obesity only; Type 3: abdominal obesity only; Type 4: Normal). To compare the diet quality and diversity according to obesity type, ANCOVA (Analysis of covariance) was used with stratification of age groups (19-44 years, 45-64 years).
Results
With regard to comparative analysis of diet quality, there were significant differences between diet qualities in energy, protein, thiamin, riboflavin, niacin, phosphorous and iron and type of obesity in the 19-44 age group, while there were significant differences between diet qualities on protein, vitamin C, phosphorous and type of obesity in the 45-64 age group. There was no significant difference between diet diversity score and type of obesity in Korean adults.
Conclusions
This study showed that in Korean adults, diet qualities of some nutrients were different among obesity types, while diet diversity was not. These observations should be considered in an effort to improve intake of over-and deficient nutrients and in further studies to evaluate the effects of nutrient quality on obesity.
Keywords: abdominal obesity; diet quality; diet diversity; Korean; obesity

REFERENCES

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Table 1

Distribution of characteristics according to obesity types in 19-44 years old subjects

1) Estimated % (%SE)

2) Female only

^*: p < 0.05, ^***: p < 0.001 by χ²-test

Table 2

Distribution of characteristics according to obesity types in 45-64 years old subjects

1) Estimated % (%SE)

2) Female only

^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001 by χ²-test or T-test

Table 3

Energy and nutrient intakes of study subjects according to obesity types

1) Mean±SE

^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001 by ANCOVA adjusted with age, sex, education, marital status, physical activity, smoking and alcohol intake frequency, hypertension, diabetes, dyslipidemia diagnosis

Table 4

Nutrient adequacy ratio (NAR) and mean adequacy ratio (MAR) according to obesity types

1) Mean±SE

Table 5

Index of nutritional quality (INQ) according to obesity types in subjects

1) Mean±SE

^*: p < 0.05, ^***: p < 0.001 by ANCOVA adjusted with age, sex, education, marital status, physical activity, smoking and alcohol intake frequency, hypertension, diabetes, dyslipidemia diagnosis

Table 6

Food intakes from 6 food groups according to obesity types in subjects

1) Mean±SE

^*: p < 0.05 by ANCOVA adjusted with age, sex, education, marital status, physical activity, smoking and alcohol intake frequency, hypertension, diabetes, dyslipidemia diagnosis

Table 7

Dietary diversity score (DDS) according to obesity types

1) estimated % (%SE)

2) Mean±SE

^*: p < 0.05 by χ²-test

Table 8

Distribution of food group intake patterns (CMDFVO) according to obesity types

1) CMDFVO (Cereal, Meat, Dairy, Fruit, Vegetable, Oil) : 1=food group (s) consumed. 0=food group (s) not consumed.

Figure & Data

REFERENCES

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Comparison of Diet Quality and Diversity according to Obesity Type among 19-64 year old Korean Adults

Korean J Community Nutr. 2016;21(6):545-557. Published online December 31, 2016

DOI: https://doi.org/10.5720/kjcn.2016.21.6.545

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Comparison of Diet Quality and Diversity according to Obesity Type among 19-64 year old Korean Adults

Table 1

Distribution of characteristics according to obesity types in 19-44 years old subjects

1) Estimated % (%SE)

2) Female only

^*: p < 0.05, ^***: p < 0.001 by χ²-test

Table 2

Distribution of characteristics according to obesity types in 45-64 years old subjects

1) Estimated % (%SE)

2) Female only

^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001 by χ²-test or T-test

Table 3

Energy and nutrient intakes of study subjects according to obesity types

1) Mean±SE

Table 4

Nutrient adequacy ratio (NAR) and mean adequacy ratio (MAR) according to obesity types

1) Mean±SE

Table 5

Index of nutritional quality (INQ) according to obesity types in subjects

1) Mean±SE

^*: p < 0.05, ^***: p < 0.001 by ANCOVA adjusted with age, sex, education, marital status, physical activity, smoking and alcohol intake frequency, hypertension, diabetes, dyslipidemia diagnosis

Table 6

Food intakes from 6 food groups according to obesity types in subjects

1) Mean±SE

^*: p < 0.05 by ANCOVA adjusted with age, sex, education, marital status, physical activity, smoking and alcohol intake frequency, hypertension, diabetes, dyslipidemia diagnosis

Table 7

Dietary diversity score (DDS) according to obesity types

1) estimated % (%SE)

2) Mean±SE

^*: p < 0.05 by χ²-test

Table 8

Distribution of food group intake patterns (CMDFVO) according to obesity types

1) CMDFVO (Cereal, Meat, Dairy, Fruit, Vegetable, Oil) : 1=food group (s) consumed. 0=food group (s) not consumed.

Table 1 Distribution of characteristics according to obesity types in 19-44 years old subjects

1) Estimated % (%SE)

2) Female only

^*: p < 0.05, ^***: p < 0.001 by χ²-test

Table 2 Distribution of characteristics according to obesity types in 45-64 years old subjects

1) Estimated % (%SE)

2) Female only

^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001 by χ²-test or T-test

Table 3 Energy and nutrient intakes of study subjects according to obesity types

1) Mean±SE

Table 4 Nutrient adequacy ratio (NAR) and mean adequacy ratio (MAR) according to obesity types

1) Mean±SE

Table 5 Index of nutritional quality (INQ) according to obesity types in subjects

1) Mean±SE

^*: p < 0.05, ^***: p < 0.001 by ANCOVA adjusted with age, sex, education, marital status, physical activity, smoking and alcohol intake frequency, hypertension, diabetes, dyslipidemia diagnosis

Table 6 Food intakes from 6 food groups according to obesity types in subjects

1) Mean±SE

^*: p < 0.05 by ANCOVA adjusted with age, sex, education, marital status, physical activity, smoking and alcohol intake frequency, hypertension, diabetes, dyslipidemia diagnosis

Table 7 Dietary diversity score (DDS) according to obesity types

1) estimated % (%SE)

2) Mean±SE

^*: p < 0.05 by χ²-test

Table 8 Distribution of food group intake patterns (CMDFVO) according to obesity types

1) CMDFVO (Cereal, Meat, Dairy, Fruit, Vegetable, Oil) : 1=food group (s) consumed. 0=food group (s) not consumed.