Atie Umnia Najikh, Henny Permatasari


Many factors influence metabolic syndromes, workers are one of the groups that are prone to metabolic syndrome. The purpose of this review is to identify and describe the relationship between physical activity habits, diet patterns, rest patterns, stress levels, and smoking habits with the incidence of metabolic syndrome in workers. A systematic literature review based on PRISMA guidelines using articles from ProQuest, ScienceDirect, and Clinical Key Nursing with the criteria for articles published in the last five years from 2018-2022, using English and full text with abstracts. A total of 198 articles were obtained, after screening the title and abstract obtained, 27 articles, then 18 articles were issued after going through the selection of the full text and suitability of the topic. At the end of the selection, 7 articles will be involved in the analysis process. Occupational stress factors and dietary patterns influence the increased risk of metabolic syndrome in workers, further research using a broader type of literature and varied types of labor needs to be carried out to get a broader picture of the factors causing metabolic disorders in workers.

Full text article

Generated from XML file


1. Oza HH, Lee MG, Boisson S, Pega F, Medlicott K, Clasen T. Occupational health outcomes among sanitation workers: A systematic review and meta-analysis. Int J Hyg Environ Health. 2022;240:113907. doi:10.1016/j.ijheh.2021.113907
2. Pega F, Náfrádi B, Momen NC, et al. Long working hours can increase deaths from heart disease and stroke, say ILO and WHO. Environ Int. 2021;154. doi:10.1016/j.envint.2021.106595
3. International Labour Organisation. International Labour Organisation. Report World Health Organisation, Joint Estimates of the Work-Related Burden of Disease and Injury, 2000–2016.; 2021. https://www.ilo.org/wcmsp5/groups/public/---ed_dialogue/---lab_admin/documents/publication/wcms_819788.pdf
4. Wu P, Rybin D, Bielak LF, et al. Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose. PLoS One. 2020;15(5):1-18. doi:10.1371/journal.pone.0230815
5. WHO and ILO. WHO–ILO Global Framework for National Occupational Health Programmes for Health Workers. Published 2022. Accessed October 11, 2022. https://www.who.int/news/item/10-06-2020-who-ilo-global-framework-for-national-occupational-health-programmes-for-health-workers
6. International Labour Organisation (ILO). World Social Protection Report 2020-2022.; 2021.
7. CCOHS. Diabetes in the Workplace : OSH Answers. Published 2019. Accessed September 12, 2022. https://www.ccohs.ca/oshanswers/diseases/diabetes.html
8. Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 2021;372. doi:10.1136/bmj.n71
9. Stillwell SB, Fineout-Overholt E, Melnyk BM, Williamson KM. Evidence-based practice, step by step: Asking the clinical question: A key step in Evidence-Based Practice. Am J Nurs. 2010;110(3):58-61. doi:10.1097/01.NAJ.0000368959.11129.79
10. Pham H, Svensson T, Chung U Il, Svensson AK. Sleep Satisfaction May Modify the Association between Metabolic Syndrome and BMI, Respectively, and Occupational Stress in Japanese Office Workers. Int J Environ Res Public Health. 2022;19(9): 5095. doi:10.3390/ijerph19095095
11. Gowda RH, Sukumar GM, Gowda SH. Association between metabolic risk, oxidative stress and rotating shift work in a tertiary health care facility. Clin Epidemiol Glob Heal. 2019;7(4):564-570. doi:10.1016/j.cegh.2019.01.002
12. Anto EO, Owiredu WKBA, Adua E, et al. Prevalence and lifestyle-related risk factors of obesity and unrecognized hypertension among bus drivers in Ghana. Heliyon. 2020;6(1):e03147. doi:10.1016/j.heliyon.2019.e03147
13. Yazdi M, Roohafza H, Feizi A, Rabiei K, Sarafzadegan N. The influence of dietary patterns and stressful life events on psychological problems in a large sample of Iranian industrial employees: Structural equations modeling approach. J Affect Disord. 2018;236(August 2017):140-148. doi:10.1016/j.jad.2018.04.120
14. Rector C. Community and Public Health Nursing. Vol 148.; 2018.
15. Kim YH, Yoon SY. Effects of a Worksite-Based Self-Management Program in Traditional Retail Market Workers: Longitudinal Associations with Metabolic Parameters. Int J Environ Res Public Health. 2022;19(5): 2854. doi:10.3390/ijerph19052854
16. Roohafza H, Feizi A, Tirani SA, et al. Epidemiological survey of chronic diseases on manufacturing employees (ESCOME): Design and methodology of a large cross-sectional study. Clin Epidemiol Glob Heal. 2020;8(1):275-279. doi:10.1016/j.cegh.2019.08.012
17. Hershey MS, Sotos-Prieto M, Ruiz-Canela M, et al. The Mediterranean lifestyle (MEDLIFE) index and metabolic syndrome in a non-Mediterranean working population. Clin Nutr. 2021;40(5):2494-2503. doi:10.1016/j.clnu.2021.03.026
18. Permatasari H. Efektivitas Model Keperawatan Manajemen Kelelahan Kerja(MARIKERJA), 2019 Terhadap Kelelahan dan Status KEsehatan Pekerja Shift Manufaktur di Jakarta, Bogor, Depok dan Bekasi. Published online 2019.
19. Khosravipour M, Khanlari P, Khazaie S, Khosravipour H, Khazaie H. A systematic review and meta-analysis of the association between shift work and metabolic syndrome: The roles of sleep, gender, and type of shift work. Sleep Med Rev. 2021;57:101427. doi:10.1016/j.smrv.2021.101427
20. de Guia RM. Stress, glucocorticoid signaling pathway, and metabolic disorders. Diabetes Metab Syndr Clin Res Rev. 2020;14(5):1273-1280. doi:10.1016/j.dsx.2020.06.038
21. Rogers M, Coates AM, Banks S. Meal timing, sleep, and cardiometabolic outcomes. Curr Opin Endocr Metab Res. 2021;18:128-132. doi:10.1016/j.coemr.2021.03.006
22. Cabrera AG, Caballero P, Wanden-Berghe C, Sanz-Lorente M, López-Pintor E. Effectiveness of workplace-based diet and lifestyle interventions on risk factors in workers with metabolic syndrome: A systematic review, meta-analysis and meta-regression. Nutrients. 2021;13(12): 4560. doi:10.3390/nu13124560
23. Chan AML, Ng AMH, Mohd Yunus MH, et al. Recent developments in rodent models of high-fructose diet-induced metabolic syndrome: A systematic review. Nutrients. 2021;13(8):1-22. doi:10.3390/nu13082497
24. Wood G, Taylor E, Ng V, et al. Determining the effect size of aerobic exercise training on the standard lipid profile in sedentary adults with three or more metabolic syndrome factors: a systematic review and meta-analysis of randomised controlled trials. Br J Sports Med. 2022;56(18):1032-1041. doi:10.1136/bjsports-2021-103999
25. Belayneh M, Mekonnen TC, Tadesse SE, Amsalu ET, Tadese F. Sleeping duration, physical activity, alcohol drinking and other risk factors as potential attributes of metabolic syndrome in adults in Ethiopia: A hospital-based cross-sectional study. PLoS One. 2022;17(8 August):1-17. doi:10.1371/journal.pone.0271962
26. Cho DY, Koo JW. Differences in Metabolic Syndrome Prevalence by Employment Type and Sex. Int J Environ Res Public Health. 2018;15(9): 1798. doi:10.3390/IJERPH15091798
27. Zając-Gawlak I, Pelclová J, Groffik D, et al. Does physical activity lower the risk for metabolic syndrome: a longitudinal study of physically active older women. BMC Geriatr. 2021;21(1):1-10. doi:10.1186/s12877-020-01952-7
28. Park YS, Kang SH, Jang SI, Park EC. Association between lifestyle factors and the risk of metabolic syndrome in the South Korea. Sci Rep. 2022;12(1):1-10. doi:10.1038/s41598-022-17361-2
29. Ismail L, Materwala H, Al Kaabi J. Association of risk factors with type 2 diabetes: A systematic review. Comput Struct Biotechnol J. 2021;19:1759-1785. doi:10.1016/j.csbj.2021.03.003
30. Ali A, Alfajjam S, Gasana J. Diabetes Mellitus and Its Risk Factors among Migrant Workers in Kuwait. Int J Environ Res Public Health. 2022;19(7) 3943. doi:10.3390/ijerph19073943


Atie Umnia Najikh
atie.umnia@ui.ac.id (Primary Contact)
Henny Permatasari
Najikh, A. U., & Permatasari, H. . (2023). FAKTOR RISIKO SINDROM METABOLIK PADA PEKERJA: SISTEMATIK REVIEW. JURNAL RISET KESEHATAN POLTEKKES DEPKES BANDUNG, 15(2), 281-293. https://doi.org/10.34011/juriskesbdg.v15i2.2204

Article Details