A Cohort Retrospective Study of Framingham Score and ECG Abnormality among Coal Mining Workers

Authors

Faizal Ablansah Anandita, Occupational Medicine Study Program, Universitas Indonesia, Jakarta, 10310, Indonesia.Follow
Isman Firdaus, Department of Cardiology and Vascular Medicine, Medical Faculty, Universitas Indonesia, Jakarta, 10310, Indonesia.
Rino Alvani Gani, Department of Community Medicine, Medical Faculty, Universitas Indonesia, Jakarta, 10310, Indonesia.
Retno Asti Werdhani, Department of Community Medicine, Medical Faculty, Universitas Indonesia, Jakarta, 10310, Indonesia.
Muchtaruddin Mansyur, Department of Community Medicine, Medical Faculty, Universitas Indonesia, Jakarta, 10310, Indonesia.

Abstract

Introduction. ECG is widely used for detecting cardiovascular disease in coal mine worker’s medical check-up. As the study has proven, coal mine workers have a double cardiovascular risk from their workplace hazard and their own medical risks as individuals. An early detection and risk assessment method is needed to predict ECG abnormalities in the future. This study will analyze the relationship between ECG abnormality and Framingham Risk Score on coal mine workers’. Methods. We examine ECG result from medical check-up of male coal worker during 2018 and 2021. Using Minnesota Code, we determine ECG abnormality categories in the 2021 result, then compare it with coal handling type worker and Framingham Score in 2018 as the main medical factor. Results. Among 755 male coal workers with normal ECG in 2018, 158 (20,9%) were found with ECG abnormalities in 2021. Cohort’s multivariate study shows that type of coal worker is considered a determinant, but Framingham risk score still has the highest influence (p multivariate

References

1. Nursanto E, Sukamto U. Pengolahan Batubara dan Pemanfaatannya untuk Energi. Prosiding Seminar Nasional Teknik Kimia “Kejuangan” Yogyakarta. Yogyakarta. 2015.

2. Dos Santos JPA, Ribeiro ALP, Andrade-Junior D, Marcolino MS. Prevalence of electrocardiographic abnormalities in primary care patients according to sex and age group. A retrospective observational study. Sao Paulo Med J. 2018;136(1):20–8. https://doi.org/10.1590/1516-3180.2017.0222290817

3. Hisam Z. Coal miners: the ground realities - Newspaper - DAWN.COM. 2014; Available from: https://www.dawn.com/news/1122021

4. Weichenthal S. Selected physiological effects of ultrafine particles in acute cardiovascular morbidity. Environ Res. 2012;115:26–36. https://doi.org/10.1016/j.envres.2012.03.001

5. Zhang W, Huang Q, Zeng Z, Wu J, Zhang Y, Chen Z. Sirt1 Inhibits Oxidative Stress in Vascular Endothelial Cells. Oxid Med Cell Longev. 2017;2017:1–8. https://doi.org/10.1155/2017/7543973

6. Lai Z, Wang X, Tan H, Huang Y, Lu C. Effect of underground work on cardiovascular system in coal miners. J Cent South Univ (Medical Sci. 2015;40(10):1103–8.

7. Kanchi R, Perlman SE, Chernov C, Wu W, Tabaei BP, Trinh-Shevrin C, et al. Gender and Race Disparities in Cardiovascular Disease Risk Factors among New York City Adults: New York City Health and Nutrition Examination Survey (NYC HANES) 2013–2014. J Urban Heal. 2018;95(6):801–12. https://doi.org/10.1007/s11524-018-0287-x

8. D’Agostino RB, Vasan RS, Pencina MJ, Wolf PA, Cobain M, Massaro JM, et al. General Cardiovascular Risk Profile for Use in Primary Care. Circulation. 2008 Feb 12;117(6):743–53. https://doi.org/10.1161/circulationaha.107.699579

9. Vaccarezza M, Papa V, Milani D, Gonelli A, Secchiero P, Zauli G, et al. Sex/gender‐specific imbalance in CVD: Could physical activity help to improve clinical outcome targeting CVD molecular mechanisms in women? Int J Mol Sci. 2020;21(4). https://doi.org/10.3390/ijms21041477

10. Chinushi Y, Watanabe H, Chinushi M, Aizawa Y. ST-T Abnormalities on ECG in Relation to Cardiovascular Risk Factors. J Arrhythmia. 2011;27(3):202–7. https://doi.org/10.1016/s1880-4276(11)80045-1

11. O’Neil A, Scovelle AJ, Milner AJ, Kavanagh A. Gender/Sex as a Social Determinant of Cardiovascular Risk. Circulation. 2018;137(8):854–64. https://doi.org/10.1161/circulationaha.117.028595

12. Emery CF, Stoney CM, Thayer JF, Williams D, Bodine A. Sex and family history of cardiovascular disease influence heart rate variability during stress among healthy adults. J Psychosom Res. 2018 Jul;110:54–60. https://doi.org/10.1016/j.jpsychores.2018.04.011

13. Harms PP, van der Heijden AA, Rutters F, Tan HL, Beulens JWJ, Nijpels G, et al. Prevalence of ECG abnormalities in people with type 2 diabetes: The Hoorn Diabetes Care System cohort. J Diabetes Complications. 2021;35(2):107810. https://doi.org/10.1016/j.jdiacomp.2020.107810

14. Kondo T, Nakano Y, Adachi S, Murohara T. Effects of tobacco smoking on cardiovascular disease. Circ J. 2019;83(10):1980–5. https://doi.org/10.1253/circj.cj-19-0323

15. Barbaresko J, Rienks J, Nöthlings U. Lifestyle Indices and Cardiovascular Disease Risk: A Meta-analysis. Am J Prev Med. 2018;55(4):555–64. https://doi.org/10.1016/j.amepre.2018.04.046

16. Powell-Wiley TM, Poirier P, Burke LE, Després J-P, Gordon-Larsen P, Lavie CJ, et al. Obesity and Cardiovascular Disease: A Scientific Statement from the American Heart Association. Circulation. 2021;143(21). https://doi.org/10.1161/cir.0000000000000973

17. Gómez-Ambrosi J, Silva C, Galofré JC, Escalada J, Santos S, Millán D, et al. Body mass index classification misses subjects with increased cardiometabolic risk factors related to elevated adiposity. Int J Obes. 2012;36(2):286–94. https://doi.org/10.1038/ijo.2011.100

18. Wowor RL, Umboh GDKJML. Factors Effects Left Ventricular Hypertrophy on Male Students Participants. Jikmu. 2015;5(1):54–62. https://doi.org/10.30596/amj.v3i2.4547

19. Almourani R, Chinnakotla B, Patel R, Kurukulasuriya LR, Sowers J. Diabetes and Cardiovascular Disease: an Update. Curr Diab Rep. 2019;19(12). https://doi.org/10.1007/s11892-019-1239-x

20. Fuchs FD, Whelton PK. High Blood Pressure and Cardiovascular Disease. Hypertension. 2020;285–92.

21. Nicholls SJ, Nelson AJ. HDL and cardiovascular disease. Pathology. 2019;51(2):142–7.

22. Williams L, Wilkins. Satu-Satunya Buku Ekg Yang Anda Perlukan. 5th ed. Penerbit Buku Kedokteran EGC; 2016. 65–82 p.

23. Goldman A, Hod H, Chetrit A, Dankner R. Incidental abnormal ECG findings and long-term cardiovascular morbidity and all-cause mortality: A population based prospective study. Int J Cardiol. 2019;295:36–41. https://doi.org/10.1016/j.ijcard.2019.08.015

24. Macfarlene PW. Minnesota coding and the prevalence of ECG abnormalities. Heart. 2000;84(6):582–4. https://doi.org/10.1136/heart.84.6.582

25. Dey NC, Amalendu S, Saha R. Assessment of cardiac strain amongst underground coal carriers-A case study in India. Int J Ind Ergon. 2007;37(6):489–95. https://doi.org/10.1016/j.ergon.2007.01.005

Recommended Citation

Anandita, Faizal Ablansah; Firdaus, Isman; Gani, Rino Alvani; Werdhani, Retno Asti; and Mansyur, Muchtaruddin (2023) "A Cohort Retrospective Study of Framingham Score and ECG Abnormality among Coal Mining Workers," Occupational and Environmental Medicine Journal of Indonesia: Vol. 1: No. 1, Article 5.
DOI: 10.7454/oemji.v1i1.1004
Available at: https://scholarhub.ui.ac.id/oemji/vol1/iss1/5