Ru Zi Lee; Jung Hee Kim

doi:10.5720/kjcn.2019.24.3.183

Articles

Page Path: HOME > Korean J Community Nutr > Volume 24(3); 2019 > Article

Research Article
Analysis of Dietary Behaviors, Food Consumption Frequency and Blood Clinical Indices by Residence Types of Female College Students in Seoul: Ru Zi Lee, Jung Hee Kim; 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

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.

208 Views
0 Download
6 Crossref

Full Article

Download PDF

Abstract
Acknowledgments
Acknowledgments
REFERENCES

Abstract

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.
Keywords: residence types; female college students; dietary behavior; blood clinical indices

Acknowledgments

This work was supported by a research grant from Seoul Women's University in 2019.

REFERENCES

1. Kim HK, Kim JH. Food habits and nutrition knowledge of college students residing in the dormitory in Ulsan area. J Korean Soc Food Sci Nutr 2005; 34(9): 1388-1397.Article
2. Jung EH. Dietary behavior by residence types of female college students in Chungbuk area. Korean J Community Living Sci 2005; 16(4): 115-123.
3. Seymour M, Hoerr SL, Huang YL. Inappropriate dieting behaviors and related lifestyle factors in young adults: Are college students different? J Nutr Educ 1997; 29(1): 21-26.Article
4. Ahn HS. Iron nutritional status of female college students in Seoul area. J Living Cult Res 1999; 13(1): 119-131.
5. Shin JR, Ly SY. Dietary habits and factors related to lifestyles in constipated female students. Korean J Community Nutr 2003; 8(5): 675-688.
6. Moses N, Banilivy M, Lifshitz F. Fear of obesity among adolescent girls. Pediatrics 1989; 83(3): 393-398.Article PubMed PDF
7. Park MY, Choi SY, Kim SH. A study of the factors affecting blood iron status in female college students. J East Asian Soc Diet Life 2012; 22(4): 463-472.
8. Chung SH, Chang KJ. A comparison between food and nutrition major, and non-major, female university students in terms of their nutrient intake and hematological status, with an emphasis on serum iron. Korean J Nutr 2002; 35(9): 952-961.
9. Kim MH, Kim H, Lee WK, Kim SJ, Yeon JY. Food habits and dietary behavior related to using processed food among male college students residing in dormitory and self-boarding in Gangwon. Korean J Community Nutr 2013; 18(4): 372-385.Article
10. Park ES. A study of the body weight perception, living habits and food intake frequency by residence type in female college students of Chenbuk area. Korean J Hum Ecol 2013; 22(1): 215-229.Article
11. Lee YN, Lee JS, Ko YM, Woo JS, Kim BH, Choi H. Study on the food habits of college students by residence. Korean J Community Nutr 1996; 1(2): 198-200.
12. Seo BM. A study on female college students' dietary habits and food frequency at the convenience store according to their residential types [master's thesis]. Yonsei University; 2017.
13. Park EH, Jung HK, Kim YA. Dietary behavior of university students in Incheon area according to the residence types. J East Asian Soc Diet Life 2009; 19(6): 909-920.
14. Kim SJ, Bu SY, Choi MK. Preference and the frequency of processed food intake according to the type of residence of college students in Korea. Korean J Community Nutr 2015; 20(3): 188-196.Article
15. Kim MJ, Rho SN. Relationship among nutrient intake, indices of anemia and serum lipids in Korean college women. J East Asian Soc Diet Life 1999; 9(3): 302-314.
16. Choi KS, Shin KO, Huh SM, Chung KH. Analysis of dietary habits by MDA (mini dietary assessment) score and physical development and blood parameters in female college students in Seoul area. J East Asian Soc Diet Life 2009; 19(6): 856-868.
17. Brevard PB, Ricketts CD. Residence of college students affects dietary intake, physical activity, and serum lipid levels. J Am Diet Assoc 1996; 96(1): 35-38.Article PubMed
18. Garner DM, Garfinkel PE. The eating attitudes test: an index of the symptoms of anorexia nervosa. Psychol Med 1979; 9(2): 273-279.Article PubMed
19. Rhee MK, Lee YH, Park SH, Sohn CH, Chung YC, Hong SK, et al. A standardization study of the Korean version of Eating Attitudes Test-26 I: Reliability and factor analysis. Korean J Psychosom Med 1998; 6(2): 155-175.
20. Ministry of Health & Welfare, Korea Centers for Disease Control and Prevention. Korean National Health and Nutrition Examination Survey 2016. Sejong: Ministry of Health & Welfare; 2017.
21. Choi KS, Shin KO, Huh SM, Chung KH. Comparison of nutritional and physical status according to the residential type among college women in Seoul women's university and Sahmyook university. Korean J Nutr 2010; 43(1): 86-96.Article
22. Yang J, Sohn CM. Nutritional status and dietary quality by their residing types in college students. J Korean Living Sci Assoc 2009; 18(4): 959-970.Article
23. Lee JS, Chung HJ. A study of female college students' breakfast behavior and ideal breakfast type. Korean J Diet Cult 2001; 16(4): 378-387.
24. Choe JS, Ji SM, Paik HY, Hong SM. A study on the eating habits and dietary consciousness of adults in urban area. J Korean Soc Food Sci Nutr 2003; 32(7): 1132-1146.Article
25. Yang IS. Enhancing the school foodservice management through national school breakfast program. J Korean Diet Assoc 1997; 3(2): 223-238.
26. Lee JW, Hyun W, Kwak CS, Kim C, Lee HS. Relationship between the number of different food consumed and nutrient intakes. Korean J Community Nutr 2000; 5: Suppl. 297-306.
27. Joo EJ, Park ES. Effect of sex and obese index on breakfast and snake intake in elementary school students. Korean J Diet Cult 1998; 13(5): 487-496.
28. Jun YS, Choi MK, Bae YJ. Night eating and nutrient intake status according to residence type in university students. J Korean Soc Food Sci Nutr 2015; 44(2): 216-225.
29. Choi JG, Shin MK, Seo ES. A study on self-evaluated obesity and food habits by residence type of college students in Ik-San area. J Korean Living Sci Assoc 2004; 13(1): 97-110.
30. Kim KH. A study of the dietary habits, the nutritional knowledge and the consumption patterns of convenience foods of university students in the Gwangju area. Korean J Community Nutr 2003; 8(2): 181-191.
31. Lee JW. Effects of frequent eating-out breakfast skipping on body mass index and nutrients intake of working male adults: analysis of 2001 Korea national health and nutrition survey data. Korean J Community Nutr 2009; 14(6): 789-797.
32. Allison KC, Ahima RS, O'Reardon JP, Dinges DF, Sharma V, Cummings DE, et al. Neuroendocrine profiles associated with energy intake, sleep, and stress in the night eating syndrome. J Clin Endocrinol Metab 2005; 90(11): 6214-6217.PubMed
33. Jung HJ, Park KH, Cho YG, Cho JJ, Park YJ, Song HJ, et al. Night eating tendency and related health risk factors. Korean J Obes 2006; 15(2): 98-105.
34. Nam HJ, Kim YS. Study on association between risk of eating disorder and self-esteem on body image. Korean J Food Nutr 2005; 18(2): 115-126.
35. Lee HS, Lee JA, Paik JJ. A study of food habits, physical status and related factors of college students in Chuncheon. Korean J Community Nutr 1998; 3(1): 34-43.
36. Hong SM, Bak KJ, Jung SH, Oh KW, Hong YA. A study on nutrient intakes and hematological status of female college students of Ulsan city. Korean J Nutr 1993; 26(3): 338-346.
37. Byun KW. A study on the relationship between levels of serum lipids and food habits of college students. Korean J Food Nutr 1994; 7(4): 284-296.
38. Lee J, Lee HO, Yim JE, Kim YS, Choue RW. Effects of medical nutrition therapy on changes of anthropometric measurement, dietary pattern and blood parameters in over weight or obese women. Korean J Nutr 2005; 38(6): 432-444.

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

Figure & Data

REFERENCES

Citations

Citations to this article as recorded by

Differences in Nutritional Status According to the Residence Types among University Students in Gwangju
Geum-Bi Ryu, Young-Ran Heo
Journal of the Korean Society of Food Science and Nutrition.2024; 53(2): 207. CrossRef
Usage and Quality Satisfaction of Convenience Food at Convenience Stores according to the Eating Behavior of University Students in Southern Gyeonggi Province
Se-In Oh, Ok-Sun Kim
Journal of the East Asian Society of Dietary Life.2023; 33(6): 492. CrossRef
Beliefs, self-efficacy, subjective norms, and eating behaviors according to the breakfast frequency among female university students in South Korea
Hye Jin Kim, Kyung Won Kim
Nutrition Research and Practice.2023; 17(6): 1170. CrossRef
A Franchise Hamburger Menu for University Students Determined by Identifying Selection Attributes Using Conjoint Analysis
Yu-Ni Choi, Sung-Suk Chung, Jeong-Ok Rho
Journal of the East Asian Society of Dietary Life.2022; 32(4): 250. CrossRef
Analysis of Usage, Preference, and Satisfaction for Convenience Store Dessert among University Students in Chungbuk Area
Go Eun Lee, Hye-In Yang, Yun-Jung Bae
Journal of Biotechnology and Bioindustry.2021; 9: 63. CrossRef
Comparison of consumption behaviors and development needs for the home meal replacement among Chinese college students studying abroad in Korea, Chinese college students in China, and Korean college students in Korea
Mi Ae Bae, So Hyun Park, Siyao Cheng, Kyung Ja Chang
Nutrition Research and Practice.2021; 15(6): 747. CrossRef

PubReader

Cite

CITE: export Copy Download Format; Close

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

RIS — For EndNote, ProCite, RefWorks, and most other reference management software
BibTeX — For JabRef, BibDesk, and other BibTeX-specific software

Include:

Citation for the content below
Citation and abstract for the content below

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

Korean J Community Nutr. 2019;24(3):183-196. Published online June 30, 2019

DOI: https://doi.org/10.5720/kjcn.2019.24.3.183

XML Download

We recommend

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

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

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