Relationship between shiftwork with hypercholesterolemia in Isfahan’s Mobarakeh Steel Company staff using random effects and marginalized random effects models

authors:

avatar Roghayyeh Hassanzadeh , avatar Anoshirvan Kazemnejad ORCID , * , avatar Farid Zayeri

Koomesh: Vol.20, issue 4; 680-687
published online: March 07, 2018
article type: issue_documents_importer
received: May 09, 2017
accepted: March 07, 2018

how to cite: Hassanzadeh R, Kazemnejad A, Zayeri F. Relationship between shiftwork with hypercholesterolemia in Isfahan’s Mobarakeh Steel Company staff using random effects and marginalized random effects models. koomesh. 2018;20(4):e153011. 

Abstract

Introduction: Disorders of blood lipids (Dislipidemia) are one of the most important risk factors for cardiovascular disease. Due to the high prevalence of impaired blood lipids, it is important to identify the factors that affect this health issue. Some researchers believe that shifting the cholesterol in the industrial sector has a role to play. The purpose of this study was to investigate the relationship between shifting and high cholesterol in employees of Mobarakeh Steel Company in Isfahan (Iran). Materials and Methods: This historical cohort study was conducted on 7677 male staff of Isfahan’s Mobarakeh Steel Company during 2005 – 2015. The data was gathered using the recorded information in the periodic medical examination files. In this study, we fitted usual random intercept and the marginalized random intercept models for assessing the effect of shiftwork on hypercholesterolemia. Correspondingly, estimaties were adjusted for age, body mass index (BMI) and smoking status. Finally, the goodness of fit indices for these models was compared. Statistical analyses were performed using the SAS software version 9.3 and R software version 2.8.1. Results: A total of 7677 staff including 4372 (56.9%) shiftworker and 2429 (31.6%) hypercholesterolemia was studied. After adjusting for age, body mass index (BMI) and smoking status, we found no significant relationship between shiftwork and hypercholesterolemia, using both the random effects and marginalized random effects models. In Random effects model age (P

References

  • 1.

    Kakooei H, Zamanian Ardakani Z, Karimian M, Ayttollahi T. Twenty four hours circadian cortisol profile in shift work nurses. Armaghane Danesh 2009; 14: 47-56. (Persian).

  • 2.

    Zhao I, Turner C. The impact of shift work on people's daily health habits and adverse health outcomes. Aust J Adv Nurs 2008; 25.

  • 3.

    Proper KI, van de Langenberg D, Rodenburg W, Vermeulen RC, van der Beek AJ, van Steeg H, van Kerkhof LW. The relationship between shift work and metabolic risk factors: a systematic review of longitudinal studies. Am J Prev Med 2016; 50: e147-e157.

  • 4.

    Ha M, Park J. Shiftwork and metabolic risk factors of cardiovascular disease. J Occup Health 2005; 47: 89-95.

  • 5.

    Akbari H, Mirzaei R, Nasrabadi T, Gholami-Fesharaki M. Evaluation of the effect of shift work on serum cholesterol and triglyceride levels. Iran Red Crescent Med J 2015; 17: e18723.

  • 6.

    De Bacquer D, Van Risseghem M, Clays E, Kittel F, De Backer G, Braeckman L. Rotating shift work and the metabolic syndrome: a prospective study. Int J Epidemiol 2009; 38: 848-854.

  • 7.

    Dochi M, Suwazono Y, Sakata K, Okubo Y, Oishi M, Tanaka K, Kobayashi E, Nogawa K. Shift work is a risk factor for increased total cholesterol level: a 14-year prospective cohort study in 6886 male workers. Occup Environ Med 2009; 66: 592-597.

  • 8.

    Ye HH, Jeong JU, Jeon MJ, Sakong J. The association between shift work and the metabolic syndrome in female workers. Annal Occup Environ Med 2013; 25: 1.

  • 9.

    Biggi N, Consonni D, Galluzzo V, Sogliani M, Costa G. Metabolic syndrome in permanent night workers. Chronobiol Int 2008; 25: 443-454.

  • 10.

    Nazri SM, Tengku M, Winn T. The association of shift work and hypertension among male factory workers in Kota Bharu, Kelantan, Malaysia. Southeast Asian J Trop Med Public Health 2008; 39: 176-183.

  • 11.

    Kawachi I, Colditz GA, Stampfer MJ, Willett WC, Manson JE, Speizer FE, Hennekens CH. Prospective study of shift work and risk of coronary heart disease in women. Circulation 1995; 92: 3178-3182.

  • 12.

    Brown DL, Feskanich D, Snchez BN, Rexrode KM, Schernhammer ES, Lisabeth LD. Rotating night shift work and the risk of ischemic stroke. Am J Epidemiol 2009: 169: 1370-1377.

  • 13.

    Shea SA, Hilton MF, Orlova C, Ayers RT, Mantzoros CS. Independent circadian and sleep/wake regulation of adipokines and glucose in humans. J Clin Endocrinol Metab 2005; 90: 2537-2544.

  • 14.

    Wolk R, Somers VK. Sleep and the metabolic syndrome. Exp Physiol 2007; 92: 67-78.

  • 15.

    Morikawa Y, Nakagawa H, Miura K, Soyama Y, Ishizaki M, Kido T, et al. Shift work and the risk of diabetes mellitus among Japanese male factory workers. Scand J Work Environ Health 2005; 31: 179-183.

  • 16.

    Morikawa Y, Nakagawa H, Miura K, Soyama Y, Ishizaki M, Kido T, et al. Effect of shift work on body mass index and metabolic parameters. Scand J Work Environ Health 2007; 33: 45-50.

  • 17.

    Di Milia L, Mummery K. The association between job related factors, short sleep and obesity. Ind Health 2009; 47: 363-368.

  • 18.

    Zhao I, Bogossian F, Song S, Turner C. The association between shift work and unhealthy weight: a cross-sectional analysis from the nurses and midwivese-cohort study. J Occup Environ Med 2011; 53: 153-158.

  • 19.

    Ghiasvand M, Heshmat R, Golpira R, Haghpanah V, Soleimani A, Shoushtarizadeh P, Tavangar SM, Larijani B. Shift working and risk of lipid disorders: a cross-sectional study. Lipids Health Dis 2006; 5: 9.

  • 20.

    Karlsson B, Knutsson A, Lindahl B. Is there an association between shift work and having a metabolic syndrome? Results from a population based study of 27 485 people. Occup Environ Med 2001; 58: 747-752.

  • 21.

    Karimi F, Rayani M, Akbarzade S, Tahmasebi R, Khakzade M, Arab J. The prevalence of hyperlipidemia in persons over 19 years of Bushehr in 1378. Iran South Med J 2000; 3: 98-106.

  • 22.

    Esfahani MA, Jolfaii EG, Torknejad M, Etesampor A, Amiz FR. Postprandial hypertriglyceridemia in non-diabetic patients with coronary artery disease. Ind Heart J 2003; 56: 307-309.

  • 23.

    Petrella RJ, Merikle E, Jones J. Prevalence and treatment of dyslipidemia in Canadian primary care: a retrospective cohort analysis. Clin Ther 2007; 29: 742-750.

  • 24.

    Ghatreh Samani K, Roghani F, Farrokhi E. Evaluation of correaltion between plasma homocysteine and oxidized low-density lipoprotein in patients with coronary artery disease. J Birjand Univ Med Sci 2009; 16: 47-53. (Persian).

  • 25.

    Lee MH, Kim HC, Ahn SV, Hur NW, Choi DP, Park CG, Suh I. Prevalence of dyslipidemia among Korean adults: Korea National Health and Nutrition Survey 1998-2005. Diabete Metab J 2012; 36: 43-55.

  • 26.

    Mohsenzadeh Y, Sayehmiri F, Kiani F, Sayehmiri K, Abdar Esfahani M, Motedayen M. Prevalence of Total Cholesterol in Iran: Systematic Review and Meta-analysis. J Mazandaran Univ Med Sci 2015; 25: 181-195. (Persian).

  • 27.

    Fitzmaurice GM, Laird NM, Ware JH. Applied longitudinal analysis: John Wiley & Sons; 2012.

  • 28.

    Diggle P. Analysis of longitudinal data: Oxford University Press; 2002.

  • 29.

    Heagerty PJ. Marginally specified logisticnormal models for longitudinal binary data. Biometrics 1999; 55: 688-698.

  • 30.

    Mohammadbeigi A, Moshiri E, Mohammadsalehi N, Ansari H, Ahmadi A. Dyslipidemia prevalence in Iranian adult men: the impact of population-based screening on the detection of undiagnosed patients. World J Mens Health 2015; 33: 167-173.

  • 31.

    Al-Lawati JA, Jousilahti P. Body mass index, waist circumference and waist-to-hip ratio cut-off points for categorisation of obesity among Omani Arabs. Public Health Nutr 2008; 11: 102-108.

  • 32.

    Mula-Abed WA, Chilmeran SK. Prevalence of dyslipidemia in the Iraqi adult population. Saudi Med J 2007; 28: 1868-1874.

  • 33.

    Rosamond W, Flegal K, Furie K, Go A, Greenlund K, Haase N, et al. Heart disease and stroke statistics2008 update. Circulation 2008; 117: e25-e146.

  • 34.

    Salehi-Marzijarani M, Yadegarfar G, Kazemi I, Sanati J, Hassanzadeh A. Influence of baseline weight on relationship between shift work and longitudinal changes of cholesterol. Int J Environ Health Engin 2013; 2: 32. (Persian).

  • 35.

    Gholami Fesharaki M, Kazemnejad A, Zayeri F, Rowzati M, Akbari H. Longitudinal study of the relationship between shift work and cholesterol using bayesian multilevel modeling with skew T distribution. Iran J Epidemiol 2015; 10: 69-77. (Persian).

  • 36.

    Knutson A, Andersson H, Berglund U. Serum lipoproteins in day and shift workers: a prospective study. Br J Indust Med 1990; 47: 132-134.

  • 37.

    Zayeri F, Khdem Maboudi A, Hassanzadeh H, Najafi Kahaki A, Salari M. Assessment of the relationship between shift work and body mass index in petrochemical staff using latent growth curve model. Daneshvar Med 2015; 22: 77-84. (Persian).

  • 38.

    Fesharaki MG, Kazemnejad A, Zayeri F, Sanati J, Akbari H. Historical cohort study on the factors affecting blood pressure in workers of polyacryl iran corporation using bayesian multilevel modeling with skew T distribution. Iran Red Crescent Med J 2013; 15: 418-423. (Persian).

  • 39.

    Gholami Fesharaki M. Bayesian multilevel modeling using skew T distribution and It,s application in medical data. Tarbiat Modares Univ 2013. (Persian).

  • 40.

    Kende M. Superiority of traditional village diet and lifestyle in minimizing cardiovascular disease risk in Papua New Guineans. P N G Med J 2001; 44: 135-150.

  • 41.

    Craig WY, Palomaki GE, Haddow JE. Cigarette smoking and serum lipid and lipoprotein concentrations: an analysis of published data. BMJ 1989; 298: 784-788.

  • 42.

    Castelli WP. The fact and fiction of lowering cholesterol in the primary prevention of coronary heart disease. Br Heart J 1993; 69: S70.

  • 43.

    Gordon T, Castelli WP, Hjortland MC, Kannel WB, Dawber TR. High density lipoprotein as a protective factor against coronary heart disease: the Framingham Study. Am J Med 1977; 62: 707-714.##.