Temporary Employment Is Associated with Poor Dietary Quality in Middle-Aged Workers in Korea: A Nationwide Study Based on the Korean Healthy Eating Index, 2013–2021
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Sample
2.2. Ethics Statement
2.3. Variables
2.3.1. Temporary Employment
2.3.2. KHEI
2.3.3. Covariates
2.4. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Min, J.; Kim, Y.; Lee, S.; Jang, T.W.; Kim, I.; Song, J. The Fourth Industrial Revolution and Its Impact on Occupational Health and Safety, Worker’s Compensation and Labor Conditions. Saf. Health Work 2019, 10, 400–408. [Google Scholar] [CrossRef]
- Schoukens, P.; Barrio, A. The changing concept of work: When does typical work become atypical? Eur. Labour Law J. 2017, 8, 306–332. [Google Scholar] [CrossRef]
- Cooke, F.L.; Jiang, Y. The growth of non-standard employment in Japan and South Korea: The role of institutional actors and impact on workers and the labour market. Asia Pac. J. Hum. Resour. 2017, 55, 155–176. [Google Scholar] [CrossRef]
- Virtanen, M.; Kivimaki, M.; Joensuu, M.; Virtanen, P.; Elovainio, M.; Vahtera, J. Temporary employment and health: A review. Int. J. Epidemiol. 2005, 34, 610–622. [Google Scholar] [CrossRef]
- Matilla-Santander, N.; Muntaner, C.; Kreshpaj, B.; Gunn, V.; Jonsson, J.; Kokkinen, L.; Selander, J.; Baron, S.L.; Orellana, C.; Ostergren, P.O.; et al. Trajectories of precarious employment and the risk of myocardial infarction and stroke among middle-aged workers in Sweden: A register-based cohort study. Lancet Reg. Health Eur. 2022, 15, 100314. [Google Scholar] [CrossRef]
- Lee, B.K.; Ahn, J.; Kim, N.S.; Park, J.; Kim, Y. Cardiovascular age of workers with different employment categories. Arch. Environ. Occup. Health 2022, 77, 243–250. [Google Scholar] [CrossRef]
- Kivimaki, M.; Vahtera, J.; Virtanen, M.; Elovainio, M.; Pentti, J.; Ferrie, J.E. Temporary employment and risk of overall and cause-specific mortality. Am. J. Epidemiol. 2003, 158, 663–668. [Google Scholar] [CrossRef]
- Natti, J.; Kinnunen, U.; Makikangas, A.; Mauno, S. Type of employment relationship and mortality: Prospective study among Finnish employees in 1984–2000. Eur. J. Public Health 2009, 19, 150–156. [Google Scholar] [CrossRef]
- Lim, D.; Kong, K.A.; Park, H.; Jung-Choi, K. Employment status and mortality among Korean men over a 13-year period. Epidemiol. Health 2021, 43, e2021055. [Google Scholar] [CrossRef]
- Waenerlund, A.K.; Virtanen, P.; Hammarstrom, A. Is temporary employment related to health status? Analysis of the Northern Swedish Cohort. Scand. J. Public Health 2011, 39, 533–539. [Google Scholar] [CrossRef]
- Virtanen, M.; Nyberg, S.T.; Batty, G.D.; Jokela, M.; Heikkila, K.; Fransson, E.I.; Alfredsson, L.; Bjorner, J.B.; Borritz, M.; Burr, H.; et al. Perceived job insecurity as a risk factor for incident coronary heart disease: Systematic review and meta-analysis. BMJ 2013, 347, f4746. [Google Scholar] [CrossRef]
- Baek, S.U.; Lim, S.S.; Yun, S.; Lee, W.T.; Kim, M.S.; Yoon, J.H.; Won, J.U. Mental health symptoms among dependent contractors in Korea: A cross-sectional study based on the Fifth Korean Working Condition Survey. Ann. Occup. Environ. Med. 2022, 34, e1. [Google Scholar] [CrossRef]
- De Cuyper, N.; Kiran, S.; De Witte, H.; Aygoğlu, F.N. Associations between Temporary Employment, Alcohol Dependence and Cigarette Smoking among Turkish Health Care Workers. Econ. Ind. Democr. 2008, 29, 388–405. [Google Scholar] [CrossRef]
- Baek, S.U.; Yoon, J.H.; Won, J.U. Associations between precarious employment and smoking and regular exercise: Results from a Korean longitudinal panel study from 2005 to 2020. Prev. Med. 2023, 168, 107420. [Google Scholar] [CrossRef]
- Portero de la Cruz, S.; Cebrino, J. Trends in Diet Quality and Related Sociodemographic, Health, and Occupational Characteristics among Workers in Spain: Results from Three Consecutive National Health Surveys (2006–2017). Nutrients 2021, 13, 522. [Google Scholar] [CrossRef]
- Kong, J.S.; Min, K.B.; Min, J.Y. Temporary Workers’ Skipping of Meals and Eating Alone in South Korea: The Korean National Health and Nutrition Examination Survey for 2013–2016. Int. J. Environ. Res. Public Health 2019, 16, 2319. [Google Scholar] [CrossRef]
- De Sio, S.; Cedrone, F.; Trovato Battagliola, E.; Buomprisco, G.; Perri, R.; Greco, E. The Perception of Psychosocial Risks and Work-Related Stress in Relation to Job Insecurity and Gender Differences: A Cross-Sectional Study. Biomed. Res. Int. 2018, 2018, 7649085. [Google Scholar] [CrossRef]
- Ray, T.K.; Kenigsberg, T.A.; Pana-Cryan, R. Employment arrangement, job stress, and health-related quality of life. Saf. Sci. 2017, 100, 46–56. [Google Scholar] [CrossRef]
- Bae, Y.J.; Yu, K.W.; Lee, K.H.; Jang, K.I. Association of the Healthy Eating Index with Metabolic Abnormalities among Middle-Aged Adults Living in Single-Person Households in Korea. Nutrients 2021, 13, 3937. [Google Scholar] [CrossRef]
- Yang, H.J.; Kim, M.J.; Hur, H.J.; Jang, D.J.; Lee, B.K.; Kim, M.S.; Park, S. Inverse Association of the Adequacy and Balance Scores in the Modified Healthy Eating Index with Type 2 Diabetes in Women. Nutrients 2023, 15, 1741. [Google Scholar] [CrossRef]
- Kweon, S.; Kim, Y.; Jang, M.J.; Kim, Y.; Kim, K.; Choi, S.; Chun, C.; Khang, Y.H.; Oh, K. Data resource profile: The Korea National Health and Nutrition Examination Survey (KNHANES). Int. J. Epidemiol. 2014, 43, 69–77. [Google Scholar] [CrossRef] [PubMed]
- Oh, K.; Kim, Y.; Kweon, S.; Kim, S.; Yun, S.; Park, S.; Lee, Y.K.; Kim, Y.; Park, O.; Jeong, E.K. Korea National Health and Nutrition Examination Survey, 20th anniversary: Accomplishments and future directions. Epidemiol. Health 2021, 43, e2021025. [Google Scholar] [CrossRef] [PubMed]
- Jo, G.; Park, D.; Lee, J.; Kim, R.; Subramanian, S.V.; Oh, H.; Shin, M.J. Trends in Diet Quality and Cardiometabolic Risk Factors Among Korean Adults, 2007–2018. JAMA Netw. Open 2022, 5, e2218297. [Google Scholar] [CrossRef] [PubMed]
- Yoon, Y.S.; Oh, S.W. Association between diet quality and type of meal companion: The 2013–2015 Korea National Health and Nutrition Examination Survey (KNHANES). Nutr. Res. Pract. 2023, 17, 553–564. [Google Scholar] [CrossRef] [PubMed]
- Cho, I.Y.; Lee, K.M.; Lee, Y.; Paek, C.M.; Kim, H.J.; Kim, J.Y.; Lee, K.; Han, J.S.; Bae, W.K. Assessment of Dietary Habits Using the Diet Quality Index-International in Cerebrovascular and Cardiovascular Disease Patients. Nutrients 2021, 13, 542. [Google Scholar] [CrossRef] [PubMed]
- Woo, S.H.; Kim, Y.; Ju, K.; Kim, J.; Song, J.; Lee, S.J.; Min, J. Differences of nutritional intake habits and Dietary Inflammatory Index score between occupational classifications in the Korean working population. Ann. Occup. Environ. Med. 2024, 36, e5. [Google Scholar] [CrossRef] [PubMed]
- Ju, K.; Kim, Y.; Woo, S.H.; Kim, J.; Kim, I.; Song, J.; Lee, S.-J.; Min, J. The impact of long working hours on daily sodium intake. Ann. Occup. Environ. Med. 2024, 36, e9. [Google Scholar] [CrossRef]
- Lee, B.-H.; Lee, S. Minding the Gaps: Non-Regular Employment and Labour Market Segmentation in the Republic of Korea; International Labour Organization: Geneva, Switzerland, 2007. [Google Scholar]
- Kim, W.; Kim, T.H.; Lee, T.H.; Ju, Y.J.; Chun, S.Y.; Park, E.C. Temporary work and depressive symptoms in South Korean workers. Occup. Med. 2017, 67, 421–424. [Google Scholar] [CrossRef] [PubMed]
- Kim, I.H.; Khang, Y.H.; Cho, S.I.; Chun, H.; Muntaner, C. Gender, professional and non-professional work, and the changing pattern of employment-related inequality in poor self-rated health, 1995–2006 in South Korea. J. Prev. Med. Public Health 2011, 44, 22–31. [Google Scholar] [CrossRef]
- Baek, S.U.; Yoon, J.H.; Won, J.U. Investigating the potential association of temporary employment and job dissatisfaction with alcohol use disorder and depressive symptoms: A 13-wave longitudinal analysis. BJPsych Open 2023, 9, e63. [Google Scholar] [CrossRef]
- Yun, S.; Park, S.; Yook, S.M.; Kim, K.; Shim, J.E.; Hwang, J.Y.; Oh, K. Development of the Korean Healthy Eating Index for adults, based on the Korea National Health and Nutrition Examination Survey. Nutr. Res. Pract. 2022, 16, 233–247. [Google Scholar] [CrossRef] [PubMed]
- National Academy of Agricultural Sciences. Food Composition Table; National Academy of Agricultural Sciences: Suwon, Republic of Korea, 2012. [Google Scholar]
- Kim, I.; Min, J. Working hours and the regulations in Korea. Ann. Occup. Environ. Med. 2023, 35, e18. [Google Scholar] [CrossRef] [PubMed]
- Bae, Y.J. Evaluation of Dietary Habits and Health-Related Factors According to the Employment in Women in Early Adulthood—Based on the 2016~2019 Korea National Health and Nutrition Examination Survey. Korean J. Community Nutr. 2021, 26, 249–258. [Google Scholar] [CrossRef]
- Devine, C.M.; Farrell, T.J.; Blake, C.E.; Jastran, M.; Wethington, E.; Bisogni, C.A. Work conditions and the food choice coping strategies of employed parents. J. Nutr. Educ. Behav. 2009, 41, 365–370. [Google Scholar] [CrossRef]
- Koo, E. Women’s subordination in Confucian culture: Shifting breadwinner practices. Asian J. Women’s Stud. 2019, 25, 417–436. [Google Scholar] [CrossRef]
- Zampelas, A.; Magriplis, E. Dietary patterns and risk of cardiovascular diseases: A review of the evidence. Proc. Nutr. Soc. 2020, 79, 68–75. [Google Scholar] [CrossRef]
- Ozaki, I.; Nishijima, M.; Konishi, M. Feasibility and Acceptability of Policies and Environmental Strategies for Improving Physical Activity and Healthy Eating in Japanese Small and Medium Corporations. J. Occup. Environ. Med. 2023, 65, 39–47. [Google Scholar] [CrossRef]
- Miller, P.E.; Mitchell, D.C.; Harala, P.L.; Pettit, J.M.; Smiciklas-Wright, H.; Hartman, T.J. Development and evaluation of a method for calculating the Healthy Eating Index-2005 using the Nutrition Data System for Research. Public Health Nutr. 2011, 14, 306–313. [Google Scholar] [CrossRef]
- Tanaka, R.; Tsuji, M.; Tsuchiya, T.; Kawamoto, T. Association between Work-Related Factors and Diet: A Review of the Literature. Workplace Health Saf. 2019, 67, 137–145. [Google Scholar] [CrossRef]
- Sato, K.; Kobayashi, S.; Yamaguchi, M.; Sakata, R.; Sasaki, Y.; Murayama, C.; Kondo, N. Working from home and dietary changes during the COVID-19 pandemic: A longitudinal study of health app (CALO mama) users. Appetite 2021, 165, 105323. [Google Scholar] [CrossRef]
- Kim, D.J.; Hwang, N.H.; Lee, J.Y.; Park, S.H.; Lee, B.I.; Yoon, E.S. An Analysis of the Demographics and Clinical Characteristics of Transgender and Intersex Populations in Korea: A Retrospective Study Using HIRA Database. J. Korean Med. Sci. 2023, 38, e385. [Google Scholar] [CrossRef]
Overall | Employment Type | |||
---|---|---|---|---|
Regular | Fixed-Term | Daily | ||
N = 6467 | N = 4964 | N = 1040 | N = 463 | |
Sex | ||||
Male | 2930 (55.9) | 2521 (61.5) | 191 (24.2) | 218 (57.5) |
Female | 3537 (44.1) | 2443 (38.5) | 849 (75.8) | 245 (42.5) |
Age | ||||
40–44 | 1959 (30.8) | 1598 (32.4) | 272 (26.8) | 89 (20.9) |
45–49 | 1788 (29.2) | 1421 (30.1) | 270 (27.1) | 97 (22.5) |
50–54 | 1362 (21.8) | 999 (20.9) | 233 (22.9) | 130 (30.1) |
55–60 | 1358 (18.2) | 946 (16.6) | 265 (23.2) | 147 (26.5) |
Educational level | ||||
Middle school or below | 845 (11.7) | 437 (8.0) | 217 (20.3) | 191 (37.4) |
High school | 2480 (37.9) | 1791 (35.5) | 488 (46.6) | 201 (46.9) |
College or above | 3142 (50.4) | 2736 (56.5) | 335 (33.1) | 71 (15.7) |
Income level | ||||
Q1 | 1347 (20.2) | 792 (15.5) | 343 (33.1) | 212 (47.3) |
Q2 | 1623 (24.8) | 1186 (23.8) | 296 (28.1) | 141 (29.6) |
Q3 | 1708 (27.3) | 1399 (29.1) | 234 (23.3) | 75 (14.9) |
Q4 | 1789 (27.7) | 1587 (31.5) | 167 (15.5) | 35 (8.2) |
Marital status | ||||
Married | 5440 (85.1) | 4298 (87.6) | 816 (78.6) | 326 (69.3) |
Unmarried | 339 (5.7) | 234 (5.1) | 57 (6.2) | 48 (12.1) |
Others | 688 (9.2) | 432 (7.3) | 167 (15.2) | 89 (18.6) |
Occupational type | ||||
White collar | 3165 (49.4) | 2836 (56.7) | 298 (29.6) | 31 (5.9) |
Service or sales workers | 1143 (15.9) | 720 (13.1) | 340 (31.6) | 83 (15.4) |
Blue collar | 2159 (34.7) | 1408 (30.2) | 402 (38.8) | 349 (78.7) |
Weekly working hours | ||||
<35 h | 1469 (20.1) | 703 (12.2) | 526 (49.9) | 240 (49.2) |
35–52 h | 4149 (65.6) | 3601 (73.4) | 390 (36.7) | 158 (35.6) |
≥53 h | 849 (14.3) | 660 (14.4) | 124 (13.4) | 65 (15.3) |
Scoring System | Overall Sample | Employment Type | |||||
---|---|---|---|---|---|---|---|
Range | Criteria | Regular | Fixed-Term | Daily | |||
Minimum Score | Maximum Score | N = 6467 | N = 4964 | N = 1040 | N = 463 | ||
Total KHEI score | 0–100 | 63.0 ± 12.7 | 63.2 ± 12.6 | 63.4 ± 12.7 | 60.3 ± 12.5 | ||
Adequacy component | |||||||
Total adequacy score | 0–55 | 31.5 ± 10.0 | 31.8 ± 9.9 | 31.2 ± 9.9 | 28.8 ± 10.7 | ||
Have breakfast | 0–10 | 0 times/week | ≥5 times/week | 7.1 ± 3.9 | 7.1 ± 3.9 | 7.0 ± 3.9 | 7.2 ± 3.9 |
Mixed grains intake | 0–5 | 0 serving/day | ≥0.3 serving/day | 2.0 ± 2.1 | 2.0 ± 2.1 | 2.1 ± 2.1 | 1.8 ± 2.1 |
Total fruits intake | 0–5 | 0 serving/day | ≥3/2 (men/women) serving/day | 2.3 ± 2.1 | 2.2 ± 2.1 | 2.5 ± 2.2 | 1.9 ± 2.2 |
Fresh fruits intake | 0–5 | 0 serving/day | ≥1 serving/day | 2.5 ± 2.3 | 2.5 ± 2.3 | 2.8 ± 2.4 | 2.1 ± 2.4 |
Total vegetable intake | 0–5 | 0 serving/day | ≥8 serving/day | 3.7 ± 1.4 | 3.8 ± 1.4 | 3.5 ± 1.4 | 3.6 ± 1.5 |
Vegetables intake excluding Kimchi and pickled vegetables intake | 0–5 | 0 serving/day | ≥5 serving/day | 3.4 ± 1.5 | 3.5 ± 1.5 | 3.3 ± 1.6 | 3.1 ± 1.7 |
Meat, fish, eggs, and beans intake | 0–10 | 0 serving/day | ≥5 serving/day | 7.4 ± 2.9 | 7.5 ± 2.8 | 7.0 ± 3.0 | 6.5 ± 3.3 |
Milk and milk product intake | 0–10 | 0 serving/day | ≥1 serving/day | 3.2 ± 4.4 | 3.2 ± 4.4 | 3.0 ± 4.3 | 2.5 ± 4.2 |
Moderation component | |||||||
Total moderation score | 0–30 | 21.7 ± 5.9 | 21.5 ± 5.9 | 22.8 ± 5.8 | 22.3 ± 5.9 | ||
Percentage of energy from saturated fatty acid | 0–10 | >10% of total energy intake | <7% of total energy intake | 7.5 ± 3.9 | 7.4 ± 3.9 | 7.8 ± 3.7 | 8.0 ± 3.6 |
Sodium intake | 0–10 | >6500 mg/day | ≤2000 mg/day | 6.0 ± 3.4 | 5.9 ± 3.4 | 6.8 ± 3.2 | 6.0 ± 3.6 |
Percentage of energy from sweets, beverages, and alcoholic drinks a | 0–10 | >20% of total energy intake | ≤10% of total energy intake | 8.2 ± 3.2 | 8.2 ± 3.2 | 8.2 ± 3.3 | 8.4 ± 3.1 |
Energy balance component | |||||||
Total energy balance score | 0–15 | 9.8 ± 4.5 | 9.9 ± 4.4 | 9.4 ± 4.5 | 9.2 ± 4.6 | ||
Percentage of energy intake from carbohydrate | 0–5 | <50% or >75% of total energy intake | 55–65% of total energy intake | 2.8 ± 2.1 | 2.9 ± 2.1 | 2.6 ± 2.1 | 2.6 ± 2.1 |
Percentage of energy intake from fat | 0–5 | <10% or >35% of total energy intake | 15–30% of total energy intake | 3.7 ± 2.0 | 3.7 ± 1.9 | 3.6 ± 2.0 | 3.6 ± 1.9 |
Energy intake | 0–5 | <50% or >75% of the EER | 75–125% of the EER | 3.3 ± 2.2 | 3.3 ± 2.2 | 3.2 ± 2.2 | 2.9 ± 2.3 |
Model 1 | Model 2 | Model 3 | |
---|---|---|---|
β (95% CI) | β (95% CI) | β (95% CI) | |
Employment type | |||
Regular | 0.00 (0.00, 0.00) | 0.00 (0.00, 0.00) | 0.00 (0.00, 0.00) |
Fixed term | 0.21 (−0.75, 1.16) | −1.07 (−2.11, −0.04) | −0.45 (−1.57, 0.68) |
Daily | −2.92 (−4.34, −1.50) | −2.46 (−3.89, −1.03) | −0.74 (−2.54, 1.06) |
Interaction terms | |||
Fixed term × men | −1.88 (−4.02, 0.27) | ||
Daily × men | −3.01 (−5.55, −0.48) |
Men | Women | |||
---|---|---|---|---|
Crude Model | Adjusted Model | Crude Model | Adjusted Model | |
β (95% CI) | β (95% CI) | β (95% CI) | β (95% CI) | |
Employment type | ||||
Regular | 0.00 (0.00, 0.00) | 0.00 (0.00, 0.00) | 0.00 (0.00, 0.00) | 0.00 (0.00, 0.00) |
Fixed term | −2.56 (−4.51, −0.60) | −1.69 (−3.71, 0.33) | −0.09 (−1.19, 1.01) | −0.90 (−2.04, 0.25) |
Daily | −4.89 (−6.85, −2.93) | −2.60 (−4.63, −0.58) | −0.48 (−2.19, 1.24) | −1.34 (−3.19, 0.52) |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Baek, S.-U.; Lim, M.-H.; Lee, Y.-M.; Won, J.-U.; Yoon, J.-H. Temporary Employment Is Associated with Poor Dietary Quality in Middle-Aged Workers in Korea: A Nationwide Study Based on the Korean Healthy Eating Index, 2013–2021. Nutrients 2024, 16, 1482. https://doi.org/10.3390/nu16101482
Baek S-U, Lim M-H, Lee Y-M, Won J-U, Yoon J-H. Temporary Employment Is Associated with Poor Dietary Quality in Middle-Aged Workers in Korea: A Nationwide Study Based on the Korean Healthy Eating Index, 2013–2021. Nutrients. 2024; 16(10):1482. https://doi.org/10.3390/nu16101482
Chicago/Turabian StyleBaek, Seong-Uk, Myeong-Hun Lim, Yu-Min Lee, Jong-Uk Won, and Jin-Ha Yoon. 2024. "Temporary Employment Is Associated with Poor Dietary Quality in Middle-Aged Workers in Korea: A Nationwide Study Based on the Korean Healthy Eating Index, 2013–2021" Nutrients 16, no. 10: 1482. https://doi.org/10.3390/nu16101482
APA StyleBaek, S. -U., Lim, M. -H., Lee, Y. -M., Won, J. -U., & Yoon, J. -H. (2024). Temporary Employment Is Associated with Poor Dietary Quality in Middle-Aged Workers in Korea: A Nationwide Study Based on the Korean Healthy Eating Index, 2013–2021. Nutrients, 16(10), 1482. https://doi.org/10.3390/nu16101482