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Analysis of Dietary Behaviors, Food Consumption Frequency and Blood Clinical Indices by Residence Types of Female College Students in Seoul
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Research Article
Analysis of Dietary Behaviors, Food Consumption Frequency and Blood Clinical Indices by Residence Types of Female College Students in Seoul
Ru Zi Leeorcid, Jung Hee Kimorcid
Korean Journal of Community Nutrition 2019;24(3):183-196.
DOI: https://doi.org/10.5720/kjcn.2019.24.3.183
Published online: June 30, 2019

1Graduate School of Seoul Women's University, Seoul, Korea, Student.

2Department of Food and Nutrition, Seoul Women's University, Seoul, Korea, Professor.

Corresponding author: Jung Hee Kim. Department of Food and Nutrition, College of Natural Sciences, Seoul Women's University, 621 Hwarangno, Nowon-gu, Seoul 01797, Korea. Tel: (02) 970-5646, Fax: (02) 976-4049, jheekim@swu.ac.kr
• Received: May 27, 2019   • Revised: June 19, 2019   • Accepted: June 19, 2019

Copyright © 2019 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.

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  • Objectives
    College is an important time for students to establish their identity as an independent subjects and develop a foundation to maintain a healthy adulthood. However, after female students become college students, their eating habits are likely to become more irregular and they may experience various health problems because of excessive weight control. Therefore, this study was conducted to investigate the dietary behaviors and blood clinical indices of female college students by residence types.
  • Methods
    A total of 374 subjects were classified as home group, self-boarding group or boarding group according to residence type. Dietary habits, frequency of food intake, and eating attitudes were examined through questionnaires and anthropometric measurements and blood clinical indices were analyzed.
  • Results
    The meal most frequently skipped by female college students was breakfast, and the frequency of skipping breakfast was significantly lower in the home group than other groups. Most college students recognized that their eating habits had worsened since becoming college students, with the self-boarding group in particular feeling that their eating habits changed negatively. The consumption frequencies of protein foods, fruits, dairy products, seaweed, and fatty meats were significantly lower in the self-boarding group than other groups. The home group ate food cut into smaller pieces, while the self-boarding group tried new and rich foods. Residence types did not affect blood clinical indices.
  • Conclusions
    The self-boarding group had inadequate dietary habits compared to the home group. Although residence type did not affect the blood clinical indices, the students still had poor dietary habits. Therefore, proper nutrition education is needed to improve the nutritional status of college students, especially those that self-board.
This work was supported by a research grant from Seoul Women's University in 2019.
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Table 1

General characteristics and anthropometric indices of subjects

kjcn-24-183-i001.jpg

*, ***: p<0.05 and p<0.001 by Fisher's exact test since cells have expected frequency less than 5

1) Mean ± SD

2) Body Mass Index

3) Blood Pressure

4) Number of subjects, ( ): % of subjects

NS: Not significantly different among groups by one-way ANOVA and Duncan's multiple range test

Table 2

Dietary behaviors of subjects

kjcn-24-183-i002.jpg

**, ***: p<0.01 and p<0.001 by Fisher's exact test since cells have expected frequency less than 5

1) Number of subjects, ( ): % of subjects

Table 3

Food consumption frequency of subjects

kjcn-24-183-i003.jpg

*, **, ***: p<0.05, p<0.01 and p<0.001 by Fisher's exact test since cells have expected frequency less than 5

1) Number of subjects, ( ): % of subjects

Table 4

Eating Attitudes Test (EAT-26) of subjects

kjcn-24-183-i004.jpg

Values are scaled as follows: always; 4 point, usually; 3 point, often; 2 point, sometimes; 1 point, rarely; 0 point, never; 0 point

1) Mean ± SD

a, b: Means with different superscript letters are significantly different at p<0.05 among 3 groups by ANOVA and Duncan's multiple range test

Table 5

Blood clinical indices of subjects

kjcn-24-183-i005.jpg

Hb: hemoglobin; Hct: hematocrit

1) Mean ± SD

2) % of subjects who are below or above the cut-off points (Hb<12 g/dL, Hct<36%, Triglyceride≥150 mg/dL, Total cholesterol≥200 mg/dL, HDL-cholesterol <50 mg/dL, glucose≥100 mg/dL)

NS: Not significantly different among groups by one-way ANOVA and Duncan's multiple range test

Figure & Data

REFERENCES

    Citations

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    Analysis of Dietary Behaviors, Food Consumption Frequency and Blood Clinical Indices by Residence Types of Female College Students in Seoul
    Analysis of Dietary Behaviors, Food Consumption Frequency and Blood Clinical Indices by Residence Types of Female College Students in Seoul

    General characteristics and anthropometric indices of subjects

    *, ***: p<0.05 and p<0.001 by Fisher's exact test since cells have expected frequency less than 5

    1) Mean ± SD

    2) Body Mass Index

    3) Blood Pressure

    4) Number of subjects, ( ): % of subjects

    NS: Not significantly different among groups by one-way ANOVA and Duncan's multiple range test

    Dietary behaviors of subjects

    **, ***: p<0.01 and p<0.001 by Fisher's exact test since cells have expected frequency less than 5

    1) Number of subjects, ( ): % of subjects

    Food consumption frequency of subjects

    *, **, ***: p<0.05, p<0.01 and p<0.001 by Fisher's exact test since cells have expected frequency less than 5

    1) Number of subjects, ( ): % of subjects

    Eating Attitudes Test (EAT-26) of subjects

    Values are scaled as follows: always; 4 point, usually; 3 point, often; 2 point, sometimes; 1 point, rarely; 0 point, never; 0 point

    1) Mean ± SD

    a, b: Means with different superscript letters are significantly different at p<0.05 among 3 groups by ANOVA and Duncan's multiple range test

    Blood clinical indices of subjects

    Hb: hemoglobin; Hct: hematocrit

    1) Mean ± SD

    2) % of subjects who are below or above the cut-off points (Hb<12 g/dL, Hct<36%, Triglyceride≥150 mg/dL, Total cholesterol≥200 mg/dL, HDL-cholesterol <50 mg/dL, glucose≥100 mg/dL)

    NS: Not significantly different among groups by one-way ANOVA and Duncan's multiple range test

    Table 1 General characteristics and anthropometric indices of subjects

    *, ***: p<0.05 and p<0.001 by Fisher's exact test since cells have expected frequency less than 5

    1) Mean ± SD

    2) Body Mass Index

    3) Blood Pressure

    4) Number of subjects, ( ): % of subjects

    NS: Not significantly different among groups by one-way ANOVA and Duncan's multiple range test

    Table 2 Dietary behaviors of subjects

    **, ***: p<0.01 and p<0.001 by Fisher's exact test since cells have expected frequency less than 5

    1) Number of subjects, ( ): % of subjects

    Table 3 Food consumption frequency of subjects

    *, **, ***: p<0.05, p<0.01 and p<0.001 by Fisher's exact test since cells have expected frequency less than 5

    1) Number of subjects, ( ): % of subjects

    Table 4 Eating Attitudes Test (EAT-26) of subjects

    Values are scaled as follows: always; 4 point, usually; 3 point, often; 2 point, sometimes; 1 point, rarely; 0 point, never; 0 point

    1) Mean ± SD

    a, b: Means with different superscript letters are significantly different at p<0.05 among 3 groups by ANOVA and Duncan's multiple range test

    Table 5 Blood clinical indices of subjects

    Hb: hemoglobin; Hct: hematocrit

    1) Mean ± SD

    2) % of subjects who are below or above the cut-off points (Hb<12 g/dL, Hct<36%, Triglyceride≥150 mg/dL, Total cholesterol≥200 mg/dL, HDL-cholesterol <50 mg/dL, glucose≥100 mg/dL)

    NS: Not significantly different among groups by one-way ANOVA and Duncan's multiple range test


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