Jae Ok Koo; Seoyun Park

doi:10.5720/kjcn.2012.17.4.440

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Original Article
Analysis of Body Composition, Dietary Behaviors and Life style of 30~50 year old Women Living in Seoul: Jae Ok Koo, Seoyun Park; Korean Journal of Community Nutrition 2012;17(4):440-449.
DOI: https://doi.org/10.5720/kjcn.2012.17.4.440
Published online: August 31, 2012

Department of Home Economics Korea National Open University, Seoul, Korea.

¹Department of Food & Nutrition, Catholic University, Bucheon, Korea.

Corresponding author: Jae Ok Koo, Department of Home Economic, Korea National Open University, Dongsungdong 169, Seoul 110-791, Korea. Tel: (02) 3668-4643, Fax: (02) 3668-4188, cokoo@knou.ac.kr

• Received: June 27, 2012 • Revised: August 7, 2012 • Accepted: August 27, 2012

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Abstract
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REFERENCES

Abstract

This study was carried out to investigate the distribution of body composition, and to analyze its relationship to dietary behaviors and life style. The study subjects were divided into 3 age groups; 30' years (n = 78) 40' years (n = 71) and 50' years (n = 44). The data was collected by physical measurement (Inbody 230) and questionnaires. The rate of disease and general characteristics were higher in the 50 year old group than in the other groups. Average amount of body water, protein, mineral and body fat were 29.0 kg (50.4%), 7.7 kg (13.4%), 2.8 kg (4.8%), 18.7 kg (31.5%), respectively. The rate of menopause was significantly different with increasing age. Menopause was 1.3%, 9.1%, 79.6% by age respectively. Body fat percent was significantly increased and body water decreased with age (p < 0.01). The fat composition was higher and the mineral content was lower in 50' year old group. Dietary behavior scores of 30' year old group was significant lower than in the other two groups (p < 0.001). The means of salty eating, skipping meals, fruit intake and food habits total point were significantly higher in the 50 year old group than in the other groups. There were significant positive correlations between age, BMI, waist hip ratio respectively (p < 0.01). There were significant negative correlations between age and body water, body mineral, skeletal muscle (p < 0.01, p < 0.05, p < 0.01). The results of this study suggested that nutritional management and education for adult women differ by age group.
Keywords: women; dietary behavior; life style

NOTES

This research was supported by grants from Korea National Open University 2011 the last half year

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Fig. 1

Body composition of the subjects by age.

Means with different superscripts (a > b) within a row are significantly different at p = 0.05 by Duncan's multiple range test.

Table 1

General characteristics of the subjects

1) N (%)

Table 2

Anthropometric characteristics and body composition of the subjects by age

1) Mean ± SD

2) Significance as determined by GLM test

3) Means with different superscripts (a > b) within a row are significantly different from each at p = 0.05 by Duncan's multiple range test

4) ^***: p < 0.001 by χ²-test

Table 3

Weight control in experience of each group by age

1) N (%)

2) Significance as determined by χ²-test

^***: p < 0.001

Table 4

Food habits of the subjects by age

1) Mean ± SD

2) Means with different superscripts (a > b) within a row are significantly different from each at p = 0.05 by Duncan's multiple range test

^*: p < 0.05, ^**: p < 0.01 by GLM test

cf. 4) yes = 3 point, sometimes = 2 point, no = 1point, 5) often = 3point, sometimes = 2point, rarely = 1point, The highest score, the better it is for the health, perfect score = 30

Table 5

Dietary behaviors of the subjects by age

1) N (%)

2) Significance as determined p < 0.05 by χ²-test

Table 6

Sleep, exercise, watching TV and using computer of the subjects by age

1) Mean ± SD

2) Significance as determined by GLM test

3) Means with different superscripts (a > b) within a row are significantly different at p = 0.05 by Duncan's multiple range test

4) N (%)

5) Significance as determined by χ²-test

^***: p < 0.001

Table 7

Correlation coefficients between body composition and TV watching, using computer, food habits

1) Significance as determined by Pearson's correlation coefficient (r)

^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001

Figure & Data

REFERENCES

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Analysis of Body Composition, Dietary Behaviors and Life style of 30~50 year old Women Living in Seoul

Korean J Community Nutr. 2012;17(4):440-449. Published online August 31, 2012

DOI: https://doi.org/10.5720/kjcn.2012.17.4.440

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Analysis of Body Composition, Dietary Behaviors and Life style of 30~50 year old Women Living in Seoul

Fig. 1 Body composition of the subjects by age. Means with different superscripts (a > b) within a row are significantly different at p = 0.05 by Duncan's multiple range test.

Fig. 1

Analysis of Body Composition, Dietary Behaviors and Life style of 30~50 year old Women Living in Seoul

Table 1

General characteristics of the subjects

1) N (%)

Table 2

Anthropometric characteristics and body composition of the subjects by age

1) Mean ± SD

2) Significance as determined by GLM test

3) Means with different superscripts (a > b) within a row are significantly different from each at p = 0.05 by Duncan's multiple range test

4) ^***: p < 0.001 by χ²-test

Table 3

Weight control in experience of each group by age

1) N (%)

2) Significance as determined by χ²-test

^***: p < 0.001

Table 4

Food habits of the subjects by age

1) Mean ± SD

2) Means with different superscripts (a > b) within a row are significantly different from each at p = 0.05 by Duncan's multiple range test

^*: p < 0.05, ^**: p < 0.01 by GLM test

cf. 4) yes = 3 point, sometimes = 2 point, no = 1point, 5) often = 3point, sometimes = 2point, rarely = 1point, The highest score, the better it is for the health, perfect score = 30

Table 5

Dietary behaviors of the subjects by age

1) N (%)

2) Significance as determined p < 0.05 by χ²-test

Table 6

Sleep, exercise, watching TV and using computer of the subjects by age

1) Mean ± SD

2) Significance as determined by GLM test

3) Means with different superscripts (a > b) within a row are significantly different at p = 0.05 by Duncan's multiple range test

4) N (%)

5) Significance as determined by χ²-test

^***: p < 0.001

Table 7

Correlation coefficients between body composition and TV watching, using computer, food habits

1) Significance as determined by Pearson's correlation coefficient (r)

^*: p < 0.05, ^**: p < 0.01, ^***: p < 0.001

Table 1 General characteristics of the subjects

1) N (%)

Table 2 Anthropometric characteristics and body composition of the subjects by age

1) Mean ± SD

2) Significance as determined by GLM test

3) Means with different superscripts (a > b) within a row are significantly different from each at p = 0.05 by Duncan's multiple range test

4) ^***: p < 0.001 by χ²-test

Table 3 Weight control in experience of each group by age

1) N (%)

2) Significance as determined by χ²-test

^***: p < 0.001

Table 4 Food habits of the subjects by age

1) Mean ± SD

2) Means with different superscripts (a > b) within a row are significantly different from each at p = 0.05 by Duncan's multiple range test

^*: p < 0.05, ^**: p < 0.01 by GLM test

cf. 4) yes = 3 point, sometimes = 2 point, no = 1point, 5) often = 3point, sometimes = 2point, rarely = 1point, The highest score, the better it is for the health, perfect score = 30

Table 5 Dietary behaviors of the subjects by age

1) N (%)

2) Significance as determined p < 0.05 by χ²-test

Table 6 Sleep, exercise, watching TV and using computer of the subjects by age

1) Mean ± SD

2) Significance as determined by GLM test

3) Means with different superscripts (a > b) within a row are significantly different at p = 0.05 by Duncan's multiple range test

4) N (%)

5) Significance as determined by χ²-test

^***: p < 0.001

Table 7 Correlation coefficients between body composition and TV watching, using computer, food habits