CROSS-SECTIONAL OBSERVATIONAL STUDY ON THE PREVALENCE OF NON-COMMUNICABLE DISEASES IN OFFSHORE WORKFORCE ATTENDING BIENNIAL MEDICAL EXAMINATION AT A PRIVATE HEALTHCARE SETTING IN THE MIDDLE EAST
Main Article Content
Keywords
Obesity, Pre-diabetes, Diabetes, Hypertension, Hyperlipidemia, NCD
Abstract
Background: Non-communicable diseases (NCDs) account for most global deaths as per the WHO (World Health Organization). The burden of NCDs has been steadily increasing over the years, and these diseases are responsible for approximately 71% of all deaths globally. Diabetes, cancer, respiratory diseases, and cardiovascular diseases (stroke and heart disease) are among the leading causes of death worldwide as an invisible pandemic. These conditions contribute significantly to the global healthcare burden. NCDs are also referred to as chronic disease conditions that prolong for a certain duration due to behavioural, psychological, genetic, and environmental factors that result in 74% of all deaths globally. Therefore, this study aims to understand the need to intervene early to prevent the rise in mortality related to non-communicable diseases in the Middle East offshore workforce.
Methods: This study used a cross-sectional design to analyse the prevalence of NCDs at Biennial medical examinations, particularly in the offshore workforce. The offshore workforce who visited a private medical centre for their biennial medical exam were extracted from EHRs (electronic health records) from Dec 2022 to Dec 2023 with a focus on obesity, prediabetes and diabetes, lipid abnormalities, and blood pressure recordings, and aged ≥18 years. descriptive statistics, chi-square test, correlation, and Kolmogorov-Smirnov test were conducted on the recorded physical parameters and laboratory data.
Results: The data analyzed showed the following results: participants' mean age was 44.43 years (SD = 8.799), with a BMI (body mass index) mean of 27.9142 (SD = 4.64731), indicating a prevalence of overweight individuals. Systolic blood pressure (SBP) had a mean of 124.180 mmHg (SD = 14.1437), and diastolic blood pressure (DBP) had a mean of 79.636 mmHg (SD = 8.4288), reflecting a normotensive range overall. The mean fasting blood sugar (FBS) was 95.852 mg/dL (SD = 13.8719), and the mean HbA1c was 6.456% (SD = 1.0736), suggesting a notable presence of prediabetes. Lipid profile analysis showed mean total cholesterol (T. Cholesterol) at 183.91 mg/dL (SD = 39.224), triglycerides (TLG) at 107.862 mg/dL (SD = 68.9641), high-density lipoprotein (HDL) at 41.304 mg/dL (SD = 10.3856), low-density lipoprotein (LDL) at 120.653 mg/dL (SD = 34.7183), and very-low-density lipoprotein (VLDL) at 21.499 mg/dL (SD = 14.2262). The Kolmogorov-Smirnov test indicated that all parameters, except for triglycerides, deviated significantly from normal distribution (p < 0.01).
Conclusion: The analysis of the offshore workforce attending biennial medical examinations in the Middle East reveals a significant prevalence of NCDs (non-communicable diseases), particularly obesity, hypertension, hyperlipidemia, and diabetes. The data show that a substantial proportion of the workforce is overweight or obese, with a notable correlation between age and BMI. High rates of prehypertension and hypertension, along with significant associations between obesity and elevated blood pressure, underscore the critical need for targeted health interventions.
References
2. Syed MA, Alnuaimi AS, Zainel AJ, A/Qotba HA. Prevalence of non-communicable diseases by age, gender and nationality in publicly funded primary care settings in Qatar. BMJ Nutr Prev Health. 2019 May 17;2(1):20-29. doi: 10.1136/bmjnph-2018-000014. PMID: 33235953; PMCID: PMC7678476.
3. NCD Countdown 2030 collaborators. NCD Countdown 2030: worldwide trends in non-communicable disease mortality and progress towards Sustainable Development Goal target 3.4. Lancet. 2018 Sep 22;392(10152):1072-1088. doi: 10.1016/S0140-6736(18)31992-5. Epub 2018 Sep 20. PMID: 30264707.
4. Piovani D, Nikolopoulos GK, Bonovas S. Non-Communicable Diseases: The Invisible Epidemic. J Clin Med. 2022 Oct 8;11(19):5939. doi: 10.3390/jcm11195939. PMID: 36233805; PMCID: PMC9572583.
5. Chijioke, I.I., Raymond, R. and Michael, F., 2014, August. High Prevalence of Modifiable Cardiovascular Risk Factors Among Male Off-shore Workers in Nigeria-A Preliminary Study. In SPE Nigeria Annual International Conference and Exhibition (pp. SPE-172420). SPE.
6. Francisca, I. and Omosivie, M., Association between Sleep Duration, Work Type, and Hypertension in a Nigerian Oil and Gas Company.
7. Mochtar, I. and Modjo, R., 2024. Risk of Major Cardiovascular Events in Offshore Oil and Gas Industry Workers in Qatar. Malaysian Journal of Medicine & Health Sciences, 20(2).
8. Riethmeister, V., Brouwer, S., van der Klink, J. and Bültmann, U., 2015. Work, eat and sleep: towards a healthy ageing at work program offshore. BMC Public Health, 16, pp.1-11.
9. Evoy, R. and Case, S., 2022. Prevalence of Adverse Health Behaviors and Conditions Among Maritime Workers, BRFSS 2014 to 2018, 38 States. Journal of Occupational and Environmental Medicine, 64(4), pp.350-355.
10. Mannocci, A., Pignalosa, S., Saulle, R., Sernia, S., Sanctis, S.D., Consentino, M., Gialdi, C., Nicosia, V. and Torre, G.L., 2015. Prevalence of major cardiovascular risk factors among oil and gas and energy company workers. Annali dell'Istituto Superiore di Sanità, 51, pp.148-153.
11. Mui, P., Hill, S.E. and Thorpe Jr, R.J., 2018. Overweight and obesity differences across ethnically diverse subgroups of Asian American men. American Journal of Men's Health, 12(6), pp.1958-1965.
12. Prakaschandra, R. and Naidoo, D.P., 2022. The association between the hypertriglyceridaemia waist phenotype, cardiovascular risk factors and the metabolic syndrome in South African Asian-Indians. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 16(6), p.102524.
13. Re, F., Oguntade, A.S., Bohrmann, B., Bragg, F. and Carter, J.L., 2023. Associations of general and central adiposity with hypertension and cardiovascular disease among South Asian populations: a systematic review and meta-analysis. BMJ open, 13(12), p.e074050.
14. Guo, X., Zou, L., Zhang, X., Li, J., Zheng, L., Sun, Z., Hu, J., Wong, N.D. and Sun, Y., 2011. Prehypertension: a meta-analysis of the epidemiology, risk factors, and predictors of progression. Texas Heart Institute Journal, 38(6), p.643.
15. Mancusi, C., Izzo, R., di Gioia, G., Losi, M.A., Barbato, E. and Morisco, C., 2020. Insulin resistance is the hinge between hypertension and type 2 diabetes. High blood pressure & cardiovascular prevention, 27, pp.515-526.
16. Zahra, N.L. and Chandra, D.N., 2021. Dietary intake and obesity in oil and gas workers: A literature review. World Nutrition Journal, 4(2), pp.26-37.
17. von Bibra, H., Saha, S., Hapfelmeier, A., Müller, G. and Schwarz, P.E., 2017. Impact of the triglyceride/high-density lipoprotein cholesterol ratio and the hypertriglyceridemic-waist phenotype to predict the metabolic syndrome and insulin resistance. Hormone and Metabolic Research, 49(07), pp.542-549.
18. Reiner, Ž., 2017. Hypertriglyceridaemia and risk of coronary artery disease. Nature Reviews Cardiology, 14(7), pp.401-411.
19. Farnier, M., Zeller, M., Masson, D. and Cottin, Y., 2021. Triglycerides and risk of atherosclerotic cardiovascular disease: an update. Archives of cardiovascular diseases, 114(2), pp.132-139.
20. Raposeiras-Roubin, S., Rosselló, X., Oliva, B., Fernández-Friera, L., Mendiguren, J.M., Andrés, V., Bueno, H., Sanz, J., Martínez de Vega, V., Abu-Assi, E. and Iñiguez, A., 2021. Triglycerides and residual atherosclerotic risk. Journal of the American College of Cardiology, 77(24), pp.3031-3041.
21. Lanktree, M.B., Thériault, S., Walsh, M. and Paré, G., 2018. HDL cholesterol, LDL cholesterol, and triglycerides as risk factors for CKD: a Mendelian randomization study. American Journal of Kidney Diseases, 71(2), pp.166-172.
22. Lechner, K., McKenzie, A.L., Kränkel, N., Von Schacky, C., Worm, N., Nixdorff, U., Lechner, B., Scherr, J., Weingärtner, O. and Krauss, R.M., 2020. High-risk atherosclerosis and metabolic phenotype: the roles of ectopic adiposity, atherogenic dyslipidemia, and inflammation. Metabolic syndrome and related disorders, 18(4), pp.176-185.
23. Hedayatnia, M., Asadi, Z., Zare-Feyzabadi, R., Yaghooti-Khorasani, M., Ghazizadeh, H., Ghaffarian-Zirak, R., Nosrati-Tirkani, A., Mohammadi-Bajgiran, M., Rohban, M., Sadabadi, F. and Rahimi, H.R., 2020. Dyslipidemia and cardiovascular disease risk among the MASHAD study population. Lipids in health and disease, 19, pp.1-11.
24. Chia, C.W., Egan, J.M. and Ferrucci, L., 2018. Age-related changes in glucose metabolism, hyperglycemia, and cardiovascular risk. Circulation Research, 123(7), pp.886-904.
25. Rodgers, J.L., Jones, J., Bolleddu, S.I., Vanthenapalli, S., Rodgers, L.E., Shah, K., Karia, K. and Panguluri, S.K., 2019. Cardiovascular risks associated with gender and ageing. Journal of Cardiovascular Development and Disease, 6(2), p.19.
26. Kotsis, Vasilios, Konstantinos Tsioufis, Christina Antza, Gino Seravalle, Antonio Coca, Cristina Sierra, Empar Lurbe et al. "Obesity and cardiovascular risk: a call for action from the European Society of Hypertension Working Group of Obesity, Diabetes and the High-risk Patient and European Association for the Study of Obesity: part B: obesity-induced cardiovascular disease, early prevention strategies and future research directions." Journal of Hypertension 36, no. 7 (2018): 1441-1455.