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A Study on Dietary Behaviors, Health-Related Lifestyle of Adult Visitors at Public Health Centers in Gyeonggi Urban Area

A Study on Dietary Behaviors, Health-Related Lifestyle of Adult Visitors at Public Health Centers in Gyeonggi Urban Area

Article information

Korean J Community Nutr. 2013;18(6):611-625
Publication date (electronic) : 2013 December 31
doi : https://doi.org/10.5720/kjcn.2013.18.6.611
Department of Food & Nutrition, Shingu College, Seongnam, Korea.
1Department of Food & Nutrition, Baewha Women's University, Seoul, Korea.
2Department of Physical Therapy, Shingu College, Seongnam, Korea.
Corresponding author: Jong-Sook Kwon, Department of Food & Nutrition, Shingu College, 377 Gwangmyeong-ro, Seongnam, Gyeonggi-do 462-743, Korea. Tel: (031) 740-1642, Fax: (031) 740-1590, jskwon@shingu.ac.kr
Received 2013 November 25; Revised 2013 December 18; Accepted 2013 December 24.

Abstract

The purpose of this study was to investigate dietary behaviors and health-related lifestyles of adult visitors at a public health center in Gyeonggi urban area. A survey using questionnaire was conducted with 949 visitors at Seongnam public health centers from June to August, 2012. The data from 905 respondents were analyzed by gender, consisting of 322 males and 583 females, and age group, consisting of 243 low-age group (LA), 312 middle-age group (MA), 350 high-age group (HA), aged 20 to 30 years, 31 to 50 years, and 51 to 69 years, respectively. Average Body Mass Index was 23.0, which increased with age, and education level was high in LA. 59.0 percent of the subjects had various diseases, and the incidence of hypertension was the highest, followed by allergy, hyperlipidemia, diabetes mellitus, joint rheumatism. Incidence rates of chronic disease increased with age, which were lower than those from 2011 Korea National Health and Nutrition Examination Survey (KNHANES). Weekly drinking frequency rate and smoking rate decreased with age, and exercise performing rate was high at male and HA, which showed the same tendency as KNHANES. Female and HA showed more healthy dietary behaviors such as restricting salt, sugar, oily foods, foods containing food additives, calorie, caring for balanced diet, and referring to nutrition label. Subjects chose stress as the first factor, followed by diet, exercise, etc., among 13 suggested factors which strongly influence on human's life-span. In general, public health center visitors, especially female and HA, showed better dietary behaviors and health-related lifestyles compared with KNHANES.

Notes

This research was supported by a grant from the Saitama Prefectural University Research (SPUR) in Japan.

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Article information Continued

Funded by : Saitama Prefectural University

Table 1

General characteristics of subjects

Table 1

1) Mann-Whitney U test or Student t-test for mean comparison

2) Chi-square test or ANOVA for mean comparison

3) N (%)

4) Mean ± SD

5) Means with a same letter are not significantly different among age groups at p < 0.05 by Duncan's multiple range test.

Table 2

Degree of living status and family compositions

Table 2

1) Mann-Whitney U test, 2) Chi-square test, 3) N (%)

Table 3

Presence of disease and health care action

Table 3

1) Mann-Whitney U test, 2) Chi-square test, 3) N (%)

Table 4

Degree of health status, drinking, exercise, and smoking

Table 4

1) Mann-Whitney U test or student t-test for mean comparison

2) Chi-square test or ANOVA for mean comparison

3) N (%)

4) Mean ± SD

5) Means with a same letter are not significantly different among age groups at p < 0.05 by Duncan's multiple range test.

Table 5

Dietary care matters for health

Table 5

1) Mann-Whitney U test

2) Chi-square test

3) N (%)

Table 6

Food consumption frequency

Table 6

1) Mann-Whitney U test, 2) Chi-square test, 3) N (%)

Table 7

Degree of life satisfaction and activities related with health and medication

Table 7

1) Mann-Whitney U test, 2) Chi-square test, 3) N (%)

Table 8

Factors strongly influence on human's life span (multiple responses)

Table 8

1) Mann-Whitney U test, 2) Chi-square test, 3) N (%)

Table 9

Sleeping hours, working hours and television watching hours

Table 9

1) Mann-Whitney U test or Student t-test for mean comparison

2) Chi-square test or ANOVA for mean comparison

3) N (%)

4) Mean ± SD

5) Means with a same letter are not significantly different among age groups at p < 0.05 by Duncan's multiple range test.