METABOLIC SYNDROME IN A SAMPLE OF WORKING POPULATION

Authors

  • Dragana Bislimovska Institute of Occupational Health of R.N. Macedonia - Skopje, WHO Collaborating Center, Republic of North Macedonia Faculty of Medicine, Ss. Cyril and Methodius University in Skopje, Republic of North Macedonia

Keywords:

metabolic syndrome, frequency, components of metabolic syndrome, working population

Abstract

Metabolic syndrome (MetS) is a cluster of risk factors, including central obesity, hypertension, hyperglycemia, hypertriglyceridemia, and reduced HDL cholesterol, -that increase the risk of type 2 diabetes and cardiovascular diseases. Its prevalence is growing globally, and the association with occupational factors is increasingly recognized.

 To determine the frequency and characteristics of MetS and its components among the working population in North Macedonia, related to gender, age, and occupation.

A cross-sectional study was conducted among 537 workers aged 20-67 years during their regular preventive medical check-ups. Participants were divided into four occupational groups based on the International Labor Organization classification. The presence of MetS was determined according to the NCEP ATP-III criteria when at least three of five factors were present.

MetS was detected in 31.5% of participants. The frequency was significantly higher in males (42%) than in females (20.3%), and higher in participants older than 45 years (45.8% vs. 17.6%). MetS frequency varied by occupation, being higher among workers with manual jobs (Groups 1 and 2) compared to those with sedentary jobs (Groups 3 and 4) (39.9% vs. 25.9%, p = 0.0064).

MetS is prevalent among the working population, particularly in males, older workers, and those engaged in manual labor. These findings highlight the need of targeted health promotion programs and preventive interventions to reduce cardiometabolic risk factors among workers.

References

Alberti KG, Zimmet P, Shaw Ј. The metabolic syndrome—a new worldwide definition. Lancet 2005; 366: 1059-1062. doi: 10.1016/S0140-6736(05)67402-8.

Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection E, And Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA 2001; 285(19): 2486-2497. doi: 10.1001/jama.285.19.2486.

Krishnamoorthy Y, Rajaa S, Murali S, Sahoo J, Kar SS. Association Between Anthropometric Risk Factors and Metabolic Syndrome Among Adults in India: A Systematic Review and Meta-Analysis of Observational Studies. Prev Chronic Dis 2022; 19: E24. doi: 10.5888/pcd19.210231.

Saklayen MG. The global epidemic of the metabolic syndrome. Current Hypertension Reports. 2018; 20(2): 1-8. doi: 10.1007/s11906-018-0812-z.

Scuteri A, Laurent S, Cucca F, Cockcroft J, Cunha PG, Mañas LR, et al. Metabolic syndrome across Europe: different clusters of risk factors. Eur J Prev Cardiol 2015; 22: 486-491. doi: 10.1177/2047487314525529.

Poulsen P, Vaag A, Kyvik K, Beck-Nielsen H. Genetic versus environmental aetiology of the metabolic syndrome among male and female twins. Diabetologia 2001; 44(5): 537-543. doi: 10.1007/s001250051659.

Watanabe K, Sakuraya A, Kawakami N, Imamura K, Ando E, Asai Y, et al. Work-related psychosocial factors and metabolic syndrome onset among workers: a systematic review and meta-analysis. Obes Rev 2018; 19(11): 1557-1568. doi: 10.1111/obr.12725.

Davila EP, Florez H, Fleming LE, Lee DJ, Goodman E, LeBlanc WG, et al. Prevalence of the metabolic syndrome among U.S workers. Diabetes Care. 2010; 33(11): 2390-2395. doi: 10.2337/dc10-0681.

Mini GK, Sarma PS, Thankappan KR. Overweight, the major determinants of metabolic syndrome among industrial workers in Kerala, India: results of a cross-sectional study. Diabetes Metab Syndr 2019; 13(5): 3025-3030. doi: 10.1016/j.dsx.2018.07.009.

Kaur P, Radhakrishnan E, Rao SR, Sankarasubbaiyan S, Rao TV, Gupte MD. The metabolic syndrome and associated risk factors in an urban industrial male population in South India. J Assoc Physicians India 2010; 58(6): 363-371. PMID: 21125777.

Schaller N, Blume K, Hanssen H, Schuster T, Schmidt-Trucksäss A, Bischof J, et al. Prävalenz des Metabolischen Syndroms und seiner Risikofaktoren: Ergebnisse einer großen betrieblichen Gesundheitsuntersuchung [Prevalence of the metabolic syndrome and its risk factors: results of a large work-site health assessment]. Dtsch Med Wochenschr 2014; 139(45): 2279-2284. German doi: 10.1055/s-0034-1387352.

Pereira GS, Bezerra IWL, de Souza AM, Dos Santos ICC, Nogueira Silbiger V, Costa RM, et al. Relationship Between Metabolic Syndrome and the Brazilian Workers' Food Program in Male and Female Manufacturing Workers. Diabetes Metab Syndr Obes 2020; 13: 3655-3666. doi: 10.2147/DMSO.S264181.

van Zon SKR, Amick Iii BC, de Jong T, Brouwer S, Bültmann U. Occupational distribution of metabolic syndrome prevalence and incidence differs by sex and is not explained by age and health behavior: results from 75 000 Dutch workers from 40 occupational groups. BMJ Open Diabetes Res Care 2020; 8(1): e001436. doi: 10.1136/bmjdrc-2020-001436.

Minov J. Chronic non-communicable diseases and the working population in R. Macedonia. Second congress on occupational medicine of R. Macedonia with international participation. Skopje, 2016.

Adler NE, Ostrovе JM. Socioeconomic status and health: what we know and what we don’t. Ann N Y Acad Sci 1999; 896: 3-15. doi: 10.1111/j.1749-6632.1999.tb08101.x.

Tsai SP, Wendt JK, Ahmed FS, Donnelly RP, Strawmyer TR. Illness absence patterns among employees in a petrolchimical facility: impact of selected health risk factors. J Occup Environ Med 2005; 47: 838-846. doi: 10.1097/01.jom.0000169091.28589.8a.

International Standard Classification of Occupations: ISCO-08. International Labour Office- Geneva: ILO, 2012.

Meloni A, Cadeddu C, Cugusi L, Donataccio MP, Deidda M, Sciomer S, et al. Gender Differences and Cardiometabolic Risk: The Importance of the Risk Factors. Int J Mol Sci 2023; 24(2): 1588. doi: 10.3390/ijms24021588.

Alegría E, Cordero A, Laclaustra M, Grima A, León M, Casasnovas JA, Luengo E, del Río A, Ferreira I; Investigadores del registro MESYAS. Prevalencia del síndrome metabólico en población laboral española: registro MESYAS [Prevalence of metabolic syndrome in the Spanish working population: MESYAS registry]. Rev Esp Cardiol 2005; 58(7): 797-806.

Riediger ND, Clara I. Prevalence of metabolic syndrome in the Canadian adult population. CMAJ 2011; 183(15): E1127-E1134. doi: 10.1503/cmaj.110070.

Nouri-Keshtkar M, Shojaei Shahrokhabadi M, Ghaheri A, Hosseini R, Ketabi H, Farjam M, et al. Role of gender in explaining metabolic syndrome risk factors in an Iranian rural population using structural equation modelling. Sci Rep 2023; 13(1): 16007. doi: 10.1038/s41598-023-40485-y.

Runge K, van Zon SKR, Bültmann U, Henkens K. Metabolic syndrome incidence in an aging workforce: Occupational differences and the role of health behaviors. SSM Popul Health 2021;15:100881. doi: 10.1016/j.ssmph.2021.100881.

Vishram JK, Borglykke A, Andreasen AH, Jeppesen J, Ibsen H, Jørgensen T, et al. Impact of age and gender on the prevalence and prognostic importance of the metabolic syndrome and its components in Europeans. The MORGAM Prospective Cohort Project. PLoS One 2014; 9(9): e107294. doi: 10.1371/journal.pone.0107294.

Mohamed AS, Dia SA, Ndoye EO, Cisse G, Gaye Fall MC, Diaby A, et al. Screening of Cardiovascular Risk Factors among Workers of a Construction Company in a Developing Country, Senegal. Medical Journal of Zambia. 2017; 44(2): 75-77. doi: 10.55320/mjz.44.2.66.

Thabit H, Burns N, Shah S, Brema I, Crowley V, Finnegan F, et al. Prevalence and predictors of diabetes and cardiometabolic risk among construction workers in Ireland: The Construction Workers Health Trust screening study. Diabetes and Vascular Disease Research 2013; 337-345. doi: 10.1177/1479164113479808.

Mannocci A, Pignalosa S, Saulle R, Sernia S, De Sanctis S, Consentino M, et al. Prevalence of major cardiovascular risk factors among oil and gas and energy company workers. Ann Ist Super Sanita 2015; 51(2): 148-153. doi: 10.4415/ANN_15_02_13.

Yu J. Relationship between long working hours and metabolic syndrome among Korean workers. Asian Nurs Res 2017; 11(1): 36-41. doi: 10.1016/j.anr.2017.02.003.

Niazi E, Saraei M, Aminian O, Izadi N. Frequency of metabolic syndrome and its associated factors in health care workers. Diabetes Metab Syndr 2019; 13(1): 338-342. doi: 10.1016/j.dsx.2018.10.013.

Kaur P, Radhakrishnan E, Rao SR, Sankarasubbaiyan S, Rao TV, Gupte MD. The metabolic syndrome and associated risk factors in an urban industrial male population in South India. J Assoc Physicians India 2010;5 8(6): 363-371. PMID: 21125777.

Schultz AB, Edington DW. Metabolic syndrome in a workplace: prevalence, co-morbidities, and economic impact. Metab Syndr Relat Disord 2009; 7(5): 459-468. DOI: 10.1089/met.2009.0008.

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.

Akintunde AA, Oloyede TW. Metabolic syndrome and occupation: Any association? Prevalence among auto technicians and school teachers in South West Nigeria. Diabetes Metab Syndr. 2017;11(Suppl 1): S223-S227. doi: 10.1016/j.dsx.2016.12.035.

Strauss M, Lavie CJ, Lippi G, Brzęk A, Vollenberg R, Sanchis-Gomar F, et al. A systematic review of prevalence of metabolic syndrome in occupational groups - Does occupation matter in the global epidemic of metabolic syndrome? Prog Cardiovasc Dis 2022; 75: 69-77. doi: 10.1016/j.pcad.2022.09.003.

Santana AIC, Merces MCD, Magalhães LBNC, Costa ALB, D'Oliveira A. Association between metabolic syndrome and work: an integrative review of the literature. Rev Bras Med Trab 2020; 18(2): 185-193. doi: 10.47626/1679-4435-2020-511.

Wong R, Crane A, Sheth J, Mayrovitz HN. Shift Work as a Cardiovascular Disease Risk Factor: A Narrative Review. Cureus 2023; 15(6): e41186. doi: 10.7759/cureus.41186.

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Published

2024-12-11

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Original Articles