Relationship Between Job Stress and Impaired Fasting Glucose in Male Steel Industry Workers: a Cross-sectional Study

Overview

Journal Ann Occup Environ Med

Specialty Environmental Health

Date 2023 Jul 17

PMID 37455849

Authors

Hyun-Kyo Lee

Inho Lee

Jisuk Yun

Yong-Jin Lee

Eun-Chul Jang

Young-Sun Min

Soon-Chan Kwon

Affiliations

Soon will be listed here.

Abstract

Background: The purpose of this study is to investigate the relationship between job stress and impaired fasting glycemia (IFG) of male workers in a manufacturing industry.

Methods: Data were collected from 5,886 male workers in a manufacturing industry who participated in the medical examination from June 19 to August 14, 2020 through self-reported questionnaires. The general characteristics of the subjects, shift work, high blood pressure, dyslipidemia, and job stress were included. Job stress was measured using the Korean Occupational Stress Scale (KOSS) consisting of 8 items and 43 questions. Multivariable logistic regression analysis was used to investigate the IFG association with job stress.

Results: Among the various factors that can cause job stress, only high job demand was associated with a risk of IFG (odds ratio, 1.43; 95% confidence interval, 1.13-1.82) especially in non-shift worker. For all other factors, no statistically significant results were obtained.

Conclusions: In this study of male workers engaged in the Korean steel manufacturing industry, the 'job demand' item among job stress of non-shift worker was related to IFG.

References

Karasek R, Brisson C, Kawakami N, Houtman I, Bongers P, Amick B . The Job Content Questionnaire (JCQ): an instrument for internationally comparative assessments of psychosocial job characteristics. J Occup Health Psychol. 1998; 3(4):322-55. DOI: 10.1037//1076-8998.3.4.322. View

Sjors Dahlman A, Jonsdottir I, Hansson C . The hypothalamo-pituitary-adrenal axis and the autonomic nervous system in burnout. Handb Clin Neurol. 2021; 182:83-94. DOI: 10.1016/B978-0-12-819973-2.00006-X. View

Santaguida P, Balion C, Hunt D, Morrison K, Gerstein H, Raina P . Diagnosis, prognosis, and treatment of impaired glucose tolerance and impaired fasting glucose. Evid Rep Technol Assess (Summ). 2005; (128):1-11. PMC: 4780988. View

Tuei V, Maiyoh G, Ha C . Type 2 diabetes mellitus and obesity in sub-Saharan Africa. Diabetes Metab Res Rev. 2010; 26(6):433-45. DOI: 10.1002/dmrr.1106. View

Prpic-Krizevac I, Canecki-Varzic S, Bilic-Curcic I . Hyperactivity of the hypothalamic-pituitary-adrenal axis in patients with type 2 diabetes and relations with insulin resistance and chronic complications. Wien Klin Wochenschr. 2012; 124(11-12):403-11. DOI: 10.1007/s00508-012-0191-4. View

Lee J, Lee J, Choi W, Myong J . Dose-Response Relationship between Night Work and the Prevalence of Impaired Fasting Glucose: The Korean Worker's Special Health Examination for Night Workers Cohort. Int J Environ Res Public Health. 2021; 18(4). PMC: 7918366. DOI: 10.3390/ijerph18041854. View

Kivimaki M, Steptoe A . Effects of stress on the development and progression of cardiovascular disease. Nat Rev Cardiol. 2017; 15(4):215-229. DOI: 10.1038/nrcardio.2017.189. View

Gill J, Cooper A . Physical activity and prevention of type 2 diabetes mellitus. Sports Med. 2008; 38(10):807-24. DOI: 10.2165/00007256-200838100-00002. View

Kivimaki M, Kawachi I . Work Stress as a Risk Factor for Cardiovascular Disease. Curr Cardiol Rep. 2015; 17(9):630. PMC: 4523692. DOI: 10.1007/s11886-015-0630-8. View

10.

Karve A, Hayward R . Prevalence, diagnosis, and treatment of impaired fasting glucose and impaired glucose tolerance in nondiabetic U.S. adults. Diabetes Care. 2010; 33(11):2355-9. PMC: 2963494. DOI: 10.2337/dc09-1957. View

11.

Kroenke C, Spiegelman D, Manson J, Schernhammer E, Colditz G, Kawachi I . Work characteristics and incidence of type 2 diabetes in women. Am J Epidemiol. 2006; 165(2):175-83. DOI: 10.1093/aje/kwj355. View

12.

Sui H, Sun N, Zhan L, Lu X, Chen T, Mao X . Association between Work-Related Stress and Risk for Type 2 Diabetes: A Systematic Review and Meta-Analysis of Prospective Cohort Studies. PLoS One. 2016; 11(8):e0159978. PMC: 4981307. DOI: 10.1371/journal.pone.0159978. View

13.

Norberg M, Stenlund H, Lindahl B, Andersson C, Eriksson J, Weinehall L . Work stress and low emotional support is associated with increased risk of future type 2 diabetes in women. Diabetes Res Clin Pract. 2006; 76(3):368-77. DOI: 10.1016/j.diabres.2006.09.002. View

14.

Penninx B, Milaneschi Y, Lamers F, Vogelzangs N . Understanding the somatic consequences of depression: biological mechanisms and the role of depression symptom profile. BMC Med. 2013; 11:129. PMC: 3661358. DOI: 10.1186/1741-7015-11-129. View

15.

Lagraauw H, Kuiper J, Bot I . Acute and chronic psychological stress as risk factors for cardiovascular disease: Insights gained from epidemiological, clinical and experimental studies. Brain Behav Immun. 2015; 50:18-30. DOI: 10.1016/j.bbi.2015.08.007. View

16.

Rhee E, Kim H, Kim J, Lee E, Kim B, Kim E . 2018 Guidelines for the Management of Dyslipidemia in Korea. J Lipid Atheroscler. 2020; 8(2):78-131. PMC: 7379116. DOI: 10.12997/jla.2019.8.2.78. View

17.

Li W, Yi G, Chen Z, Dai X, Wu J, Peng Y . Is job strain associated with a higher risk of type 2 diabetes mellitus? A systematic review and meta-analysis of prospective cohort studies. Scand J Work Environ Health. 2021; 47(4):249-257. PMC: 8091067. DOI: 10.5271/sjweh.3938. View

18.

Demerouti E, Bakker A, de Jonge J, Janssen P, Schaufeli W . Burnout and engagement at work as a function of demands and control. Scand J Work Environ Health. 2001; 27(4):279-86. DOI: 10.5271/sjweh.615. View

19.

Shrivastava S, Shrivastava P, Ramasamy J . Role of self-care in management of diabetes mellitus. J Diabetes Metab Disord. 2013; 12(1):14. PMC: 3599009. DOI: 10.1186/2251-6581-12-14. View

20.

Kang S, Boo Y, Lee J, Ji W, Yoo B, You J . Analysis of the occupational stress of Korean surgeons: a pilot study. J Korean Surg Soc. 2013; 84(5):261-6. PMC: 3641364. DOI: 10.4174/jkss.2013.84.5.261. View