Pil Kyoo Jo; Yu Jin Oh

doi:10.5720/kjcn.2019.24.5.408

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Research Article
Comparison of Dietary Behavior of Eating Alone in Single Households by Status of Workers and Age: Pil Kyoo Jo, Yu Jin Oh; Korean Journal of Community Nutrition 2019;24(5):408-421.
DOI: https://doi.org/10.5720/kjcn.2019.24.5.408
Published online: October 30, 2019

¹Department of Economics, Hanbat National University, Daejeon, Korea, Associate Professor.

²Department of Health Promotion Policy, Korea Health Promotion Institute, Seoul, Korea, Team leader.

Corresponding author: Yu jin Oh. Department of Health Promotion Policy, Korea Health Promotion Institute, 24th, Namsan Square, 173 Toegye-ro, Jung-gu, Seoul 04554, Korea. Tel: (02) 3781-2242, Fax: (02) 3781-3582, oyujin@khealth.or.kr

• Received: September 11, 2019 • Revised: October 14, 2019 • Accepted: October 14, 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.

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Abstract
Acknowledgments
Acknowledgments
REFERENCES

Abstract

Objectives
This study compared the dietary behaviors of single-person households when eating alone according to the employment pattern and age.
Methods
A total of 566 people aged 20~59 years old were collected from the status of workers and classified into three groups according to their employment pattern (regular, non-regular workers and business owner). The subjects were collected by purposive quota sampling on a Gallup panel from June to November in 2017. The dietary behavior and perception of eating alone of the subjects were surveyed via online and self-reported questionnaires.
Results
The frequency of eating alone was significantly higher in the regular group than the non-regular group and business group (p<0.01). The place of eating alone was significantly higher in the regular and non-regular group in the convenience store, and business group in the office (p<0.001). Ramen, the menu when eating alone, was significantly higher in the non-regular group than the other groups (p<0.01). The preference for eating alone was lower in the older age group (p<0.05). The young aged group (aged 20~30) ate more fast food and felt more convenience than the older aged group aged 40~50 years (p<0.05).
Conclusions
Single-person households with a non-regular job have poorer dietary behavior in eating alone than those who had regular employment. In a situation of an increasing number of non-regular workers aged in their 20s and 30s, there is a high likelihood of social problems, such as health and poverty. This study highlights the need for a healthy food selection environment to improve the dietary life of single-person households with non-regular jobs for the diverse types of single-person households.
Keywords: single households; eating alone; dietary behavior; status of workers; age

Acknowledgments

This study protocol was approved by the Human Investigation Review Board of Public Institutional Bioethics Committee designated by the MOHW (P01-201705-23-004). This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2016S1A5A2A 03928070)

REFERENCES

1. Statistics Korea. Age of householder/Estimating households [internet]. Statistics Korea; 2018; cited 2019 Jul 25]. Available from: http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1BZ0506&vw_cd=MT_ZTITLE&list_id=A42_20&scrId=&seqNo=&lang_mode=ko&obj_var_id=&itm_id=&conn_path=K1&path.
2. Jo PK. The effect of the economic characteristics of single person households on the food service industry. Korean J Community Nutr 2016; 21(4): 321-331.Article PDF
3. Oh YJ. Analysis of nutrients and food behaviors of eating alone according to increasing in single households. Proceedings of 2016 Spring Conference of the Korean Society of Community Nutrition; 2016 Jun 3; Seoul. p. 1-14.
4. Kim GS. The economic characteristics and implications of single households. Hyundai Research Institute; 2015 08. Report No. 654.
5. Kang EN, Lee MH. Single-person households in South Korea and their policy implication. Health Welf Policy Forum 2016; 234:47-56.
6. Chung KH, Nam SH, Chung EJ, Lee JH, Lee YK, Kim JS, et al. Policy implications of changes in family structure: focused on the increase of single person households in Korea. Korea Institute for Health and Social Affairs; 2012 12. Report No. 2012-47-25.
7. Noh HJ. Social relationships of young single-person households. Health Soc Welf Rev 2018; 38(2): 71-102.Article
8. Byun MR, Choi JW, Park MJ, Lee HJ, Kim JA. A study on the policy of Seoul Metropolitan Government for single households. The Seoul Institute; 2015 02. Report No. 2014-ER-27.
9. Lee KA. A study on the direction of future consumer policies with the advent of one-person household era. J Consum Policy Stud 2017; 48(2): 61-85.Article
10. Jo PK. The effect of single person households on the food service industry. Proceedings of 2016 Spring Conference of the Korean Society of Community Nutrition; 2016 Jun 3; Seoul. p. 39-54.
11. Statistics Korea. 2018 Economically active population surveyadditional research [internet]. Statistics Korea; 2018; cited 2019 Jul 25]. Available from: http://kostat.go.kr/portal/korea/kor_nw/1/3/2/index.board.
12. Organization for Economic Cooperation and Development. OECD employment outlook 2015 [internet]. OECD; 2015; cited 2019 Jul 25]. Available from: http://dx.doi.org/10.1787/empl_outlook-2015-en.
13. Lee JY, Choi SK, Seo JS. Evaluation of the nutrition status and metabolic syndrome prevalence of the members according to the number of household members based on the Korea National Health and Nutrition Examination Survey (2013–2014). Korean J Community Nutr 2019; 24(3): 232-244.Article PDF
14. Choi BB. Recognition and consumption of meal alone and processed food according to major of college students. Korean J Food Nutr 2016; 29(6): 911-922.Article
15. Lee Y, Cho W, Oh Y. Comparison of eating behavior between commensality and solo-eating of university students by BMI. Korean J Community Nutr 2012; 17(3): 280-289.Article
16. Yamaji T, Mikami S, Kobatake H, Tanaka K, Higashi Y, Kihara Y. Slow down, you eat too fast: fast eating associate with obesity and future prevalence of metabolic syndrome. Proceedings of 2017 American Heart Association's Scientific Sessions; 2017 Nov 14; Anaheim, CA. p. 136.
17. Lee KI, Hwang YJ, Ban HJ, Lim SJ, Jin HJ, Lee HS. Impact of the growth of single-person households on the food market and policy task. Korea Rural Economic Institute; 2015 10. Report No. R762.
18. Kang NY, Jung BM. Analysis of the difference in nutrients intake, dietary behaviors and food intake frequency of singleand non single-person households: The Korea National Health and Nutrition Examination Survey (KNHANES), 2014–2016. Korean J Community Nutr 2019; 24(1): 1-17.Article PDF
19. Lee J, Shin A. Vegetable and fruit intake in one person household: The Korean National Health and Nutrition Examination Survey (2010~2012). J Nutr Health 2015; 48(3): 269-276.Article
20. Kim HJ. An analysis of household debt burden by householder's occupation. Soc Welf Policy 2004; 20(1): 109-132.
21. Kim JY, You SD. The effects of household characteristics on housing tenure choice and house type. House Stud Rev 2013; 21(4): 61-85.
22. Park KS, Kim MS. The impact of change in household living arrangements on the changes in poverty rate among elderly people in South Korea. Korean J Sociol 2016; 50(1): 221-253.
23. Lee YJ, Kwon MK, Baek HJ, Lee SS. Comparative analysis of food intake according to the family type of elderly women in Seoul area. J Nutr Health 2015; 48(3): 277-288.Article
24. An BM, Son JH. Analysis of metabolic syndrome in Korean adult one-person households. J Korean Public Health Nurs 2018; 32(1): 30-43.
25. Statistics Korea. Economically Active Population Survey [internet]. Statistics Korea; 2019; cited 2019 Jul 25]. Available from: https://kostat.go.kr/understand/info/info_kost/1/index.action?bmode=read&cd=S002001.
26. Lee Y, Oh YJ, Cho W, Jo PK. Differences in solo eating perceptions and dietary behaviors of university students by gender. J Korean Diet Assoc 2015; 21(1): 57-71.Article
27. 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
28. Kim A. Effect of health behaviors, dietary habits, and psychological health on metabolic syndrome in one-person households among Korean young adults. J Digit Converg 2018; 16(7): 493-509.
29. Huh IS, Kim HS, Jo HK, Lim CS, Kim JS, Kim SJ. Instant noodle consumption is associated with cardiometabolic risk factors among college students in Seoul. Nutr Res Pract 2017; 11(3): 232-239.Article PubMed PMC PDF
30. Kim SY. Analysis of age, cohort and time effect on diversity of food consumption in Korean. J Rural Dev 2010; 33(1): 21-39.
31. Han JM, Lee YH. Impact of single-person household increment on consumption disbursement. KIET Mon Ind Econ 2013; 6:22-31.
32. Jeong I, Kim HM. Korea one-person households report 2018. KB finance group research institute; 2018 10.
33. Rozman G. East Asian national identities: common roots and Chinese exceptionalism. Stanford, CA: Stanford University Press; 2012. p. 1-256.
34. Kim JK. The factors affecting the level of awareness of life and happiness perceived by youth generation. Korea Soc Policy Rev 2018; 25(3): 209-245.Article
35. Koo S, Park K. Dietary behaviors and lifestyle characteristics related to frequent eating out among Korean adults. J Korean Soc Food Sci Nutr 2013; 42(5): 705-712.Article
36. Lee YM, Oh YJ, Cho WK, Jo PK. Differences in solo eating perceptions and dietary behaviors of university students by gender. J Korean Diet Assoc 2015; 21(1): 57-71.Article

Table 1

General characteristics

Table 2

Frequency, meal amount and place of eating alone n (%)

1) p-value are from chi-square test

Table 3

Menu of eating alone n (%)

1) p-value are from chi-square test

Table 4

Menu of eating together n (%)

1) p-value are from chi-square test

Table 5

Preference and feelings of eating alone n (%)

1) The preference scores were based on the mean scores measured on 5 Likert-type scale (1: very bad ~5: very good)

2) p-value are from ANOVA test

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

4) p-value are from chi-square test

Table 6

Reasons for eating alone and eating together n (%)

1) p-value are from chi-square test

Table 7

Problems of eating alone and eating together n (%)

1) p-value are from chi-square test

Figure & Data

REFERENCES

Citations

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Comparison of Dietary Behavior of Eating Alone in Single Households by Status of Workers and Age

Korean J Community Nutr. 2019;24(5):408-421. Published online October 31, 2019

DOI: https://doi.org/10.5720/kjcn.2019.24.5.408

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Comparison of Dietary Behavior of Eating Alone in Single Households by Status of Workers and Age

Table 1

General characteristics

Table 2

Frequency, meal amount and place of eating alone n (%)

1) p-value are from chi-square test

Table 3

Menu of eating alone n (%)

1) p-value are from chi-square test

Table 4

Menu of eating together n (%)

1) p-value are from chi-square test

Table 5

Preference and feelings of eating alone n (%)

1) The preference scores were based on the mean scores measured on 5 Likert-type scale (1: very bad ~5: very good)

2) p-value are from ANOVA test

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

4) p-value are from chi-square test

Table 6

Reasons for eating alone and eating together n (%)

1) p-value are from chi-square test

Table 7

Problems of eating alone and eating together n (%)

1) p-value are from chi-square test

Table 1 General characteristics

Table 2 Frequency, meal amount and place of eating alone n (%)

1) p-value are from chi-square test

Table 3 Menu of eating alone n (%)

1) p-value are from chi-square test

Table 4 Menu of eating together n (%)

1) p-value are from chi-square test

Table 5 Preference and feelings of eating alone n (%)

1) The preference scores were based on the mean scores measured on 5 Likert-type scale (1: very bad ~5: very good)

2) p-value are from ANOVA test

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

4) p-value are from chi-square test

Table 6 Reasons for eating alone and eating together n (%)

1) p-value are from chi-square test

Table 7 Problems of eating alone and eating together n (%)

1) p-value are from chi-square test