Volume 6, Issue 1 (Winter 2018)                   Iran J Health Sci 2018, 6(1): 1-8 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Nikbakht-Jam I, Mohaddes-Ardabili H, Keshavarz P, Hassanpour R, Kianzad A, Sheikh-Andalibi M, et al . A comparison of Obesity and Some Cardiovascular Risk Factors between Male Employees of Gas Refinery, Petrochemical Plant, and Non-Industrial Workplaces. Iran J Health Sci. 2018; 6 (1) :1-8
URL: http://jhs.mazums.ac.ir/article-1-536-en.html
School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran , nikbakht508@gmail.com
Abstract:   (1741 Views)
Background and purpose: It is likely that industrial workplaces increase the chance of developing obesity and cardiovascular disease risk factors in the employees. The aim of this study was to compare obesity and some health markers between male employees of gas refinery (first exposure group) and petrochemical staff (second exposure group) compared to non-industrial male employees of general population (non-exposure group).
Method: Seventy five male employees of a petrochemical plant in Assaluyeh, eighty eight male employee of a gas refinery, and eighty six non-industrial male employees of the general population participated in this study. Weight, height, waist circumference, fasting blood glucose, blood pressure, and serum total cholesterol and triglyceride were measured in all the participants. Statistical analyses were performed using the SPSS Software, version 16 (SPSS Inc., Chicago, IL, USA).
Results: The mean body mass index, waist circumference, fasting blood glucose, and serum triglyceride level were significantly higher in gas refinery staff compared to petrochemical employees, and non-industrial employees (P-values <0.01). The number of subjects suffering from obesity, abdominal obesity, hypertriglyceridemia, and high fasting blood glucose in the gas plant staff was significantly more than the petrochemical plant staff and non-industrial employees (P-values <0.01). However, mean blood pressure and hypertension in non-industrial employees were significantly higher than the other two groups (P-values<0.01).
Conclusion: The results of this study showed that obesity, high fasting blood glucose and hypertriglyceridemia were significantly higher in gas refinery staff. It is recommended to develop a health promotion program for weight management and prevention of obesity in the industrial work place staff. 
Full-Text [PDF 574 kb]   (431 Downloads)    
Type of Study: Original Article | Subject: Health

1. Dobbelsteyn CJ, Joffres MR, MacLean DR, Flowerdew G. A comparative evaluation of waist circumference, waist-to-hip ratio and body mass index as indicators of cardiovascular risk factors. The Canadian Heart Health Surveys. International journal of obesity and related metabolic disorders : journal of the International Association for the Study of Obesity. 2001;25(5):652-61. [DOI:10.1038/sj.ijo.0801582] [PMID]
2. Abelson P, Kennedy D. The obesity epidemic. Science. 2004;304(5676):1413. [DOI:10.1126/science.304.5676.1413] [PMID]
3. Luckhaupt S, Cohen M, Li J and Calvert GF. Prevalence of Obesity Among U.S. Workers and Associations with Occupational Factors. American journal of preventive medicine. 2014; 46(3): 237–248. [DOI:10.1016/j.amepre.2013.11.002] [PMID]
4. Robroek SJ, van Lenthe FJ, van Empelen P, Burdorf A. Determinants of participation in worksite health promotion programmes: a systematic review. The international journal of behavioral nutrition and physical activity. 2009; 6: 26. [DOI:10.1186/1479-5868-6-26] [PMID] [PMCID]
5. Ostbye T, Dement JM, Krause KM. Obesity and workers' compensation: results from the Duke Health and Safety Surveillance System. Archives of internal medicine. 2007;167(8):766-73. [DOI:10.1001/archinte.167.8.766] [PMID]
6. Jans MP, van den Heuvel SG, Hildebrandt VH, Bongers PM. Overweight and obesity as predictors of absenteeism in the working population of the Netherlands. Journal of occupational and environmental medicine / American College of Occupational and Environmental Medicine. 2007;49(9):975-80. [DOI:10.1097/JOM.0b013e31814b2eb7] [PMID]
7. Tsai SP, Ahmed FS, Wendt JK, Bhojani F, Donnelly RP. The impact of obesity on illness absence and productivity in an industrial population of petrochemical workers. Annals of epidemiology. 2008;18(1):8-14. [DOI:10.1016/j.annepidem.2007.07.091] [PMID]
8. Tsai SP, Wendt JK, Ahmed FS, Donnelly RP, Strawmyer TR. Illness absence patterns among employees in a petrochemical facility: impact of selected health risk factors. Journal of occupational and environmental medicine / American College of Occupational and Environmental Medicine. 2005;47(8):838-46. [DOI:10.1097/01.jom.0000169091.28589.8a]
9. Dichi I, Simao AN, Vannucchi H, Curi R, Calder PC. Metabolic syndrome: epidemiology, pathophysiology, and nutrition intervention. Journal of nutrition and metabolism. 2012; 2012(584541). PMID: 22778922. [DOI:10.1155/2012/584541]
10. Hamilton MT, Hamilton DG, Zderic TW. Role of low energy expenditure and sitting in obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease. Diabetes. 2007;56(11):2655-67. [DOI:10.2337/db07-0882] [PMID]
11. Lim S, Cho YM, Park KS, Lee HK. Persistent organic pollutants, mitochondrial dysfunction, and metabolic syndrome. Annals of the New York Academy of Sciences. 2010;1201(166-76). [DOI:10.1111/j.1749-6632.2010.05622.x] [PMID]
12. Lyche JL, Nourizadeh-Lillabadi R, Karlsson C, Stavik B, Berg V, Skare JU, et al. Natural mixtures of POPs affected body weight gain and induced transcription of genes involved in weight regulation and insulin signaling. Aquatic toxicology. 2011;102(3-4):197-204. [DOI:10.1016/j.aquatox.2011.01.017] [PMID]
13. Brook RD, Rajagopalan S, Pope CA, 3rd, Brook JR, Bhatnagar A, Diez-Roux AV, et al. Particulate matter air pollution and cardiovascular disease: An update to the scientific statement from the American Heart Association. Circulation. 2010;121(21):2331-78. [DOI:10.1161/CIR.0b013e3181dbece1] [PMID]
14. Lin MC, Chiu HF, Yu HS, Tsai SS, Cheng BH, Wu TN, et al. Increased risk of preterm delivery in areas with air pollution from a petroleum refinery plant in Taiwan. Journal of toxicology and environmental health Part A. 2001;64(8):637-44. [DOI:10.1080/152873901753246232] [PMID]
15. Samet JM, Dominici F, Curriero FC, Coursac I, Zeger SL. Fine particulate air pollution and mortality in 20 U.S. cities, 1987-1994. The New England journal of medicine. 2000;343(24):1742-9. [DOI:10.1056/NEJM200012143432401] [PMID]
16. Hemmatjo R, Zare S, Babaei-Heydarabadi A and Hajivandi A. Investigation of heat stress in workplace for different work groups according to ISO 7243 standard in Mehr Petrochemical Complex, Assaluyeh, Iran. Journal of paramedical sciences. 2013; 4(2).
17. Tsai SP, Donnelly RP, Wendt JK. Obesity and mortality in a prospective study of a middle-aged industrial population. Journal of occupational and environmental medicine American College of Occupational and Environmental Medicine. 2006;48(1):22-7. [DOI:10.1097/01.jom.0000184866.49000.e5]
18. Bhowmik B, Afsana F, Ahmed T, Akhter S, Choudhury HA, Rahman A, et al. Obesity and associated type 2 diabetes and hypertension in factory workers of Bangladesh. BMC research notes. 2015;8(1):460. PMID: 26386828. [DOI:10.1186/s13104-015-1377-4] [PMID] [PMCID]
19. Vangelova KK, Deyanov CE. Blood pressure and serum lipids in industrial workers under intense noise and a hot environment. Reviews on environmental health. 2007;22(4):303-11. [DOI:10.1515/REVEH.2007.22.4.303] [PMID]
20. Vangelova K, Deyanov C, Ivanova M. Dyslipidemia in industrial workers in hot environments. Central European journal of public health. 2006 Mar;14(1):15-7. PMID: 16705875. [PMID]
21. Dangi-Garimella S. Environmental pollutants: a risk factor for obesity and diabetes. The American journal of managed care. 2014; 20(10 Spec No): E8.
22. Hectors TL, Vanparys C, van der Ven K, Martens GA, Jorens PG, Van Gaal LF, Covaci A, De Coen W, Blust R. Environmental pollutants and type 2 diabetes: a review of mechanisms that can disrupt beta cell function. Diabetologia. 2011;54(6):1273-90. [DOI:10.1007/s00125-011-2109-5] [PMID]
23. Colhoun HM, Hemingway H, Poulter NR. Socio-economic status and blood pressure: an overview analysis. Journal of human hypertension. 1998;12(2):91-110. [DOI:10.1038/sj.jhh.1000558] [PMID]
24. Kapuku GL, Treiber FA, Davis HC. Relationships among socioeconomic status, stress induced changes in cortisol, and blood pressure in African American males. Annals of behavioral medicine : a publication of the Society of Behavioral Medicine. 2002;24(4):320-5. [DOI:10.1207/S15324796ABM2404_08] [PMID]
25. Steptoe A, Kunz-Ebrecht S, Owen N, Feldman PJ, Willemsen G, Kirschbaum C, et al. Socioeconomic status and stress-related biological responses over the working day. Psychosomatic medicine. 2003;65(3):461-70. [DOI:10.1097/01.PSY.0000035717.78650.A1] [PMID]

Add your comments about this article : Your username or Email:

Send email to the article author

© 2019 All Rights Reserved | Iranian Journal of Health Sciences

Designed & Developed by : Yektaweb