Assessment of the epidemiological risk factors of diabetic and hypertensive patients amongst the adult population

Authors

  • Suryananth K. B. Department of Community Medicine, Gandhi Medical College, Bhopal, Madhya Pradesh, India
  • J. S. Meena Department of Community Medicine, Gandhi Medical College, Bhopal, Madhya Pradesh, India
  • Manju Toppo Department of Community Medicine, Gandhi Medical College, Bhopal, Madhya Pradesh, India
  • Devendra Gour Department of Community Medicine, Gandhi Medical College, Bhopal, Madhya Pradesh, India

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20242569

Keywords:

BMI, Diabetes, Hypertension, NCD risk factors

Abstract

Background: 93 lakh people in India are undergoing diabetes and hypertension medication. It is true that the most important modifiable risk factors for type 2 diabetes and hypertension today are poor diet, cigarette smoking, and insufficient exercise. NCD-related deaths worldwide will increase by 17% by 2025, costing $47 trillion in lost productivity between 2011 and 2030.

Methods: 300 diabetics, hypertensive and diabetic with hypertensive patients were selected from 8 urban wards and 8 rural panchayats of Bhopal by multi-stage random sampling. A semi-structured, pretested and validated questionnaire derived from WHO-STEPS survey was used to collect data in terms of socio-demographic variables, behavioural risk factors measurement and physical measurements. Mean and standard deviations were calculated for quantitative data, frequency and proportions were calculated for qualitative data. Chi-square value was calculated and p value less than 0.05 was considered statistically significant.

Results: The mean age was 46.55±2.17 years. DBP found to be 3% more than 39% of males have systolic BP ≥140 mm of Hg. 33.6% fall under obese-I category. Current tobacco smokers, current alcohol consumption, heavy alcohol use, salt intake >5 gm/day, BMI ≥30 (obese-II) was significantly associated with hypertension.

Conclusions: The study’s findings indicate that the alarmingly high occurrence of risk factors for diabetes and hypertension among adults need immediate attention. This indicates the need for an extensive screening and awareness campaign to identify undetected cases in the community and to offer early treatment and continuous follow-up to prevent consequences.

Metrics

Metrics Loading ...

References

Global Burden of Disease (GBD). Available from: https://www.healthdata.org/research-analysis/gbd. Accessed on 11 July 2024.

National NCD Programme. Available from: https://ncd.nhp.gov.in/. Accessed on 18 March 2024.

National Family Health Survey 2020-21. State fact sheet- Madhya Pradesh. Available from: https://im4change.org/docs/NFHS-5%20Madhya%20Pradesh.pdf. Accessed on 11 July 2024.

WHO. Diabetes. Available from: https://www.who.int/news-room/fact-sheets/detail/diabetes. Accessed on 11 July 2024.

WHO. Alcohol. Available from: https://www.who.int/news-room/fact-sheets/detail/alcohol. Accessed on 11 July 2024.

WHO. Hypertension. Available from: https://www.who.int/news-room/fact-sheets/detail/hypertension. Accessed on 11 July 2024.

Esser MB, Gururaj G, Rao GN, Jayarajan D, Sethu L, Murthy P, et al. Harms from alcohol consumption by strangers in five Indian states and policy implications. Drug Alcohol Rev. 2017;36:682-90.

Ramamoorthy T, Leburu S, Kulothungan V, Mathur P. Regional estimates of noncommunicable diseases associated risk factors among adults in India: results from National Noncommunicable Disease Monitoring Survey. BMC Public Health. 2022;22:1069.

Al-Mawali A, Jayapal SK, Morsi M, Al-Shekaili W, Pinto AD, Al-Kharusi H, et al. Prevalence of risk factors of non-communicable diseases in the Sultanate of Oman: STEPS survey 2017. PLoS One. 2021;16:e0259239.

Directorate of Census Operations, Madhya Pradesh. Available from: https://mp.census.gov.in/ english/home.html. Accessed on 11 July 2024.

Radhakrishnan M, Nagaraja SB. Modified Kuppuswamy socioeconomic scale 2023: stratification and updates. Int J Community Med Public Health. 2023;11:4415-8.

WHO. STEPwise approach to NCD risk factor surveillance (STEPS). Available from: https://www.who.int/teams/noncommunicable-diseases/surveillance/systems-tools/steps. Accessed on 11 July 2024.

Epi Info™ Downloads. CDC. 2023. Available from: https://www.cdc.gov/epiinfo/support/downloads.html. Accessed on 11 July 2024.

Shriraam V, Mahadevan S, Arumugam P. Prevalence and risk factors of diabetes, hypertension and other non-communicable diseases in a tribal population in south India. Indian J Endocrinol Metab. 2021;25:313-9.

Srivastav S, Mahajan H, Goel S, Mukherjee S. Prevalence of risk factors of noncommunicable diseases in a rural population of district Gautam-Budh Nagar, Uttar Pradesh using the World Health Organization STEPS approach. J Fam Med Prim Care. 2017;6:491-7.

Kinra S, Bowen LJ, Lyngdoh T, Prabhakaran D, Reddy KS, Ramakrishnan L, et al. Sociodemographic patterning of non-communicable disease risk factors in rural India: a cross-sectional study. BMJ. 2010;341:c4974.

Zaman MM, Rahman MM, Rahman MR, Bhuiyan MR, Karim MN, Chowdhury MAJ. Prevalence of risk factors for non-communicable diseases in Bangladesh: Results from STEPS survey 2010. Indian J Public Health. 2016;60:17-25.

Newtonraj A, Murugan N, Singh Z, Chauhan R, Velavan A, Mani M. Factors associated with physical inactivity among adult urban population of Puducherry, India: a population based cross-sectional study. J Clin Diagn Res. 2017;11:LC15-7.

Mathur P, Kulothungan V, Leburu S, Krishnan A, Chaturvedi HK, Salve HR, et al. National noncommunicable disease monitoring survey (NNMS) in India: estimating risk factor prevalence in adult population. PLoS One. 2021;16:e0246712.

Gupta V, Rai N, Toppo N, Kasar P, Nema P. An epidemiological study of prevalence of hypertension and its risk factors among non-migratory tribal population of Mawai block of Mandla district of central India. Int J Community Med Public Health. 2018;5(3):957-62.

Acharyya T, Kaur P, Murhekar M. Prevalence of behavioral risk factors, overweight and hypertension in the urban slums of North 24 Parganas District, West Bengal, India, 2010. Indian J Public Health. 2014;58:195.

Gamage AU, Seneviratne R de A. Physical inactivity, and its association with hypertension among employees in the district of Colombo. BMC Public Health. 2021;21:2186.

Misra PJ, Mini GK, Thankappan KR. Risk factor profile for non-communicable diseases among Mishing tribes in Assam, India: results from a WHO STEPs survey. Indian J Med Res. 2014;140:370-8.

Kolahi AA, Moghisi A, Soleiman Ekhtiari Y. Socio-demographic determinants of obesity indexes in Iran: findings from a nationwide STEPS survey. Health Promot Perspect. 2018;8:187-94.

Shrestha R, Upadhyay SK, Khatri B, Bhattarai JR, Kayastha M, Upadhyay MP. BMI, waist to height ratio and waist circumference as a screening tool for hypertension in hospital outpatients: a cross-sectional, non-inferiority study. BMJ Open. 2021;11:e050096.

Downloads

Published

2024-08-30

How to Cite

K. B., S., J. S. Meena, Manju Toppo, & Devendra Gour. (2024). Assessment of the epidemiological risk factors of diabetic and hypertensive patients amongst the adult population. International Journal Of Community Medicine And Public Health, 11(9), 3629–3634. https://doi.org/10.18203/2394-6040.ijcmph20242569

Issue

Section

Original Research Articles