Cardiovascular Disease Risk Profile and Risk Prediction Among Unskilled Workers of a Tertiary Care Teaching Hospital

Authors

  • Ganesh Sekar Manakula Vinayagar Medical College and Hospital Puducherry, India
  • Vinayagamoorthy Venugopal All India Institute of Medical Sciences, Deoghar, Jharkhand, India
  • Iswarya Santhanakrishnan Government Medical College and ESI Hospital, Coimbatore, Tamil Nadu, India

DOI:

https://doi.org/10.55489/njcm.131020222290

Keywords:

cardio-vascular risk, class-IV workers, drivers, prediction, screening

Abstract

Background: Cardiovascular disease is the single largest cause for mortality and morbidity in the world and also in India. The prevalence of CVD risk factors in India is steadily increasing moreover CVD in Indians has been shown to occur prematurely. The study was designed to estimate the 10-year cardiovascular risk using region specific WHO/ISH risk prediction chart among unskilled workers of a tertiary care teaching hospital and to determine factors associated with risk.

Material and methods: It were a hospital based cross sectional study. Based on the calculated sample size, 250 eligible workers were selected by simple random sampling. Using structured questionnaire, life style related risk factors namely, average daily consumption of fruits and vegetables, physical activity, perceived stress, tobacco and alcohol use was collected. BMI and BP were measured using standard protocol and classified following standard guidelines. Bio-chemical parameters were also measured.

Results: Among 250 workers 37.2% and 10% consumed daily minimal recommended level of vegetables and fruits respectively, 21.1% was current tobacco user, 17.2% was alcohol drinkers, 50.4% were obese, 18.8% had high blood pressure, 6% had elevated cholesterol levels. Among the workers 46.7 % had <10% risk, 5.3% had 10% to <20% risk and, 3.3% had 20% to <30% risk to develop CVD within future 10 years of lifetime. Drivers and current alcoholics were significantly associated with being in the high-risk group.

Conclusion: Employer initiated regular work place health screening and services need to be aimed at the unskilled workers, especially for CVD targeting drivers and alcoholics.

References

World Health Organization, Cardiovascular diseases [Internet]. SEARO [cited 2019 Jan 23];Available from: http://www.searo.who.int/india/topics/cardiovascular_diseases/en/

Dorairaj P, Panniyammakal J, Ambuj R. Cardiovascular Diseases in India. Circulation 2016;133(16):1605-20. Doi: https://doi.org/10.1161/CIRCULATIONAHA.114.008729 PMid:27142605

Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a system-atic analysis for the Global Burden of Disease Study 2013. The Lancet 2015;385(9963):117-71. Doi: https://doi.org/10.1016/S0140-6736(14)61682-2

Anjana RM, Deepa M, Pradeepa R, Mahanta J, Narain K, Das HK, et al. Prevalence of diabetes and prediabetes in 15 states of India: re-sults from the ICMR-INDIAB population-based cross-sectional study. Lancet Diabetes Endocrinol 2017;5(8):585-96. Doi: https://doi.org/10.1016/S2213-8587(17)30174-2

Deepa M, Pradeepa R, Anjana R, Mohan V. Noncommunicable diseases risk factor surveillance: experience and challenge from India. Indian J Community Med Off Publ Indian Assoc Prev Soc Med 2011;36(Suppl 1):S50-56. Doi: https://doi.org/10.4103/0970-0218.94709 PMid:22628912 PMCid:PMC3354899

Oommen AM, Abraham VJ, George K, Jose VJ. Prevalence of risk factors for non-communicable diseases in rural & urban Tamil Nadu. Indian J Med Res 2016;144(3):460-71. Doi: https://doi.org/10.4103/0971-5916.198668 PMid:28139545 PMCid:PMC5320852

NCDs | STEPwise approach to surveillance (STEPS) [Internet]. WHO [cited 2019 Jan 23];Available from: http://www.who.int/ncds/surveillance/steps/en/

National Institute of Nutrition. Dietary Guidelines for Indians: A Manual. [Internet]. 2011 [cited 2017 May 28];Available from: http://ninindia.org/dietaryguidelinesforninwebsite.pdf

World Health Organisation. Physical Activity Recommendations [Internet]. [cited 2019 Oct 30];Available from: https://www.who.int/news-room/fact-sheets/detail/physical-activity

Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav 1983;24(4):385-96. Doi: https://doi.org/10.2307/2136404 PMid:6668417

World Health Organisation. Global Tobacco Surveillance System (GTSS), Global Adult Tobacco Survey (GATS): Indicator Guidelines: Definition and Syntax. [Internet]. 2009 [cited 2017 Dec 9];Available from: http://www.who.int/tobacco/surveillance/en_tfi_gats_indicator_guidelines.pdf

Centre for Disease Control. National Health and Nutrition Examination Survey (NHANES): Anthropometry Procedures Manual [In-ternet]. 2007 [cited 2016 Dec 31];Available from: https://www.cdc.gov/nchs/data/nhanes/nhanes_07_08/manual_an.pdf

The JNC 8 Hypertension Guidelines: An In-Depth Guide [Internet]. AJMC [cited 2019 Jan 23];Available from: https://www.ajmc.com/journals/evidence-based-diabetes-management/2014/january-2014/the-jnc-8-hypertension-guidelines-an-in-depth-guide

WHO | Cardiovascular risk prediction charts [Internet]. WHO [cited 2019 Jan 23];Available from: https://www.who.int/cardiovascular_diseases/publications/Chart_predictions/en/

International Institute for Population Sciences. National Family Health Survey-4, State Fact Sheet: Tamil Nadu [Internet]. Mumbai: Available from: http://rchiips.org/NFHS/pdf/NFHS4/TN_FactSheet.pdf

World Health Organisation. Global Adult Tobacco Survey. Fact Sheet | India 2016-17 [Internet]. Available from: https://www.who.int/tobacco/surveillance/survey/gats/GATS_India_2016-17_FactSheet.pdf

Ahirwar R, Mondal PR. Prevalence of obesity in India: A systematic review. Diabetes Metab Syndr 2019;13(1):318-21. Doi: https://doi.org/10.1016/j.dsx.2018.08.032 PMid:30641719

Aswin K, Ghorpade AG, Kar SS, Kumar G. Cardiovascular Disease Risk Factor Profiling of Group C Employees in JIPMER, Puducherry. J Fam Med Prim Care 2014;3(3):255-9. Doi: https://doi.org/10.4103/2249-4863.141624 PMid:25374865 PMCid:PMC4209683

Venugopal V, Dongre AR, Saravanan S. Prevalence and determinants of metabolic syndrome among the rural adult population of Puducherry. Indian J Community Med 2019;44(1):21.

Gupta R, Ram CVS. Hypertension epidemiology in India: emerging aspects. Curr Opin Cardiol 2019;34(4):331-41. Doi: https://doi.org/10.1097/HCO.0000000000000632 PMid:31082849

International Institute for Population Sciences. National Family Health Survey-4, State Fact Sheet: Puducherry [Internet]. Mumbai: Available from: http://rchiips.org/Nfhs/FCTS/PY/PY_FactSheet_635_Puducherry.pdf

Shin SY, Lee CG, Song HS, Kim SH, Lee HS, Jung MS, et al. Cardiovascular Disease Risk of Bus Drivers in a City of Korea. Ann Occup En-viron Med 2013;25:34. Doi: https://doi.org/10.1186/2052-4374-25-34 PMid:24472511 PMCid:PMC3923344

Casmir EA, Amam CM, Obianuju BO, Tim PG, David AW, Oyewole AK, et al. Prevalence of cardiometabolic risk factors among profes-sional male long-distance bus drivers in Lagos, south-west Nigeria: a cross-sectional study. Cardiovasc J Afr 2018;29(2):106-14. Doi: https://doi.org/10.5830/CVJA-2018-006 PMid:29457826 PMCid:PMC6008896

Udayar S, Kumar R, Kumar P, Vairamuthu S, Thatuku S. Study of cardiovascular risk factors among transport drivers in rural areas of Andhra Pradesh. Ntl J of Community Med 2015;6(4):566-70.

Mohanty A, Kabi A, Mohanty AP. Health problems in healthcare workers: A review. J Fam Med Prim Care 2019;8(8):2568-72. Doi: https://doi.org/10.4103/jfmpc.jfmpc_431_19 PMid:31548933 PMCid:PMC6753812

Downloads

Published

2022-10-31

How to Cite

1.
Sekar G, Venugopal V, Santhanakrishnan I. Cardiovascular Disease Risk Profile and Risk Prediction Among Unskilled Workers of a Tertiary Care Teaching Hospital. Natl J Community Med [Internet]. 2022 Oct. 31 [cited 2024 Apr. 23];13(10):710-6. Available from: https://njcmindia.com/index.php/file/article/view/2290

Issue

Section

Original Research Articles