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Effect of Geographic Area on Dietary Quality across Different Age Groups in Korea


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Effect of Geographic Area on Dietary Quality across Different Age Groups in Korea

Article information

Korean J Community Nutr. 2019;24(6):453-464
Publication date (electronic) : 2019 December 31
doi : https://doi.org/10.5720/kjcn.2019.24.6.453
Hyun Ja Kim1orcid_icon, Kirang Kimorcid_icon
1Department of Food and Nutrition, Gangneung-Wonju National University, Gangneung, Korea, Professor.
2Department of Food Science and Nutrition, Dankook University, Cheonan, Korea, Professor.
Corresponding author: Kirang Kim. Department of Food Science and Nutrition, Dankook University, 119, Dandae-ro, Dongnam-gu, Cheonan 31116, Korea. Tel: (041)550-3472, Fax: (041)559-7955, kirangkim@dankook.ac.kr
Received 2019 September 18; Revised 2019 November 04; Accepted 2019 November 04.

Abstract

Objectives

The objective of this study was to examine whether dietary quality varies among different age groups and geographic areas, and whether the difference between geographic areas varies across several age groups in Korea.

Methods

The subjects were 14,170 subjects who participated in the 2013–2015 Korea National Health and Nutrition Examination Survey. The dietary quality was assessed using the Korean Health Eating Index (KHEI). Age groups were categorized into six groupings, and areas were categorized into urban and rural according to their administrative districts. The effect of area on the KHEI score was analyzed by multiple linear regression analysis.

Results

The KHEI was the lowest in the 20-30s group (57.7 ± 0.4 score for 20s and 61.2 ± 0.3 score for 30s) and increased with age (p<0.001), showing the highest score in the 60s (67.9 ± 0.3 score), and then decreased again in the 70s and older (64.6 ± 0.3 score). As a result of comparing the KHEI score by area, the urban areas had higher KHEI scores than did the rural areas (63.5 ± 0.2 score for urban area and 62.2 ± 0.4 score for rural area, p=0.002). The difference between areas was dependent on the age group, showing a significant difference for subjects who were aged from 50s and older (p=0.002 for 50s, p<0.001 for 60s and p<0.001 for 70s and older). After adjusting for confounding factors, the effect of area on the KHEI score was only shown for those subjects in the over 60 years old group (p=0.035 for 60s and p<0.001 for 70s and older).

Conclusions

The dietary quality differed according to the age group and geographic area. The dietary quality was lower for younger people than that for older people, and in rural areas compared to that in urban areas, and especially for older adults. The area factor was a very important factor for the dietary quality.

Keywords: dietary quality; health eating index; Korea; area; age

Acknowledgments

This research was supported by a fund by Research of Korea Centers for Disease Control and Prevention and the National Research Foundation of Korea (NRF-2019R1H1A2080093).

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Article information Continued

Copyright © 2019 The Korean Society of Community Nutrition
The Korean Society of Community Nutrition

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.

Funded by : National Research Foundation of Koreahttps://doi.org/10.13039/501100003725
Award ID : NRF-2019R1H1A2080093

Table 1

General characteristics of adults aged 19 years and older, 2013–2015 KNHANES

Table 1

KNHANES, Korea National Health and Nutrition Examination Survey.

1) All % (SE) were calculated by applying sampling weights assigned to individual participants in the nutrition survey.

2) P-values for % differences between urban and rural area were calculated using the chi-square test

3) Including housewives or student

Table 2

Mean value of each KHEI item by age group and region

Table 2

KHEI, Korean Health Eating Index; SFA, saturated fatty acid; CHO, carbohydrate

All values were calculated by applying sampling weights assigned to individual participants in the nutrition survey.

1) Sex-adjusted means ± SE

2) Age- and sex-adjusted means ± SE

3) P-values for mean differences by age group and region were calculated using multivariate linear regression after adjusting for sex.

4) P-values for mean differences by age group and region were calculated using multivariate linear regression after adjusting for age (continuous) and sex.

Table 3

Difference of mean value of each KHEI item between urban and rural area according to age group

Table 3

KHEI, Korean Health Eating Index; SFA, saturated fatty acid; CHO, carbohydrate

All values were calculated by applying sampling weights assigned to individual participants in the nutrition survey.

1) Sex-adjusted means ± SE

2) P-values for mean differences between urban and rural area were calculated using multivariate linear regression after adjusting for sex.

Table 4

Mean value of KHEI total score by factors related to KHEI

Table 4

KHEI, Korean Health Eating Index

All values were calculated by applying sampling weights assigned to individual participants in the nutrition survey.

1) Age- and sex-adjusted means ± SE

2) P-values for mean differences of KHEI total score by factors related to KHEI using multivariate linear regression after adjusting for age (continuous) and sex. Different alphabets indicate significant differences by Tukey's test.

3) P-values for mean differences of KHEI total score by area and factors related to KHEI using multivariate linear regression after adjusting for age (continuous) and sex. Different alphabets indicate significant differences by Tukey's test.

Table 5

Region effect on KHEI total score after adjusting for confounding factors by age group

Table 5

KHEI, Korean Health Eating Index

All values were calculated by applying sampling weights assigned to individual participants in the nutrition survey.

1) Beta for rural area vs. urban

Model was adjusted for sex, household type, marital status, household income, education level, job status, weight status, smoking, alcohol drinking, walking exercise, nutritional education, eating with others, food assistance program participation, and food security.