Original Research Article
Burden of pre-hypertension, hypertension and dyslipidemia and its associated risk factors among adult population of urban slums in South Delhi, India
1National Institute of Health and Family Welfare, New Delhi, India
2ICMR, National Institute of Nutrition, Hyderabad, India
Received: 31 December 2025
Revised: 18 February 2026
Accepted: 19 February 2026
*Correspondence:
Dr. Manjunatha Ramu,
E-mail: r.manjunatha@icmr.gov.in
Copyright: © the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
ABSTRACT
Background: Cardiovascular disease is one of the predominant Global health concerns, the burden of CVD risk factors is increasingly shifting, impacting urban slums population.
Methods: A community based cross sectional study among randomly selected two urban slums of South Delhi was conducted to assess the burden of hypertension and its associated risk factors. 246 randomly selected respondents (Women: 144) aged 40 years & above completed the survey along with Anthropometric and biochemical assessments
Results: Prevalence of hypertension is found to be 50.81% (Men: 43.1% and Women: 56.2%. RR 1.3 (95% CI:1.0-1.7)), female Gender (p=0.05), elderly age (p<0.01) and hypercholesterolemia (p<0.01), were significantly associated with hypertension. Pre-hypertension was found to be high (70.1%) among remaining others. Prevalence of self-reported diabetes is found to be 56.8% (Men: 44 (55%) and Women: 68 (58.1%). RR: 1.403 (95% CI: 0.56-3.46)), Assessment of total cholesterol showed that 6.1% (15) and 16.7% (41) were having high and border line high levels respectively, higher proportion of women were having higher levels of dyslipidemia while compared with men (p<0.01). Observations on NCD risk factors shows that Men were having higher proportions of habits of smoking, smokeless tobacco and alcohol while compared with women (p<0.01), but higher proportions of women (95.8%) had abdominal obesity compared to men (p<0.01).
Conclusions: Prevalence of hypertension, pre-hypertension and self-reported diabetes is high among adults of urban slum dwellers and women have higher burden along with hypercholesterolemia and abdominal obesity.
Keywords: Dyslipidemia, Diabetes mellitus, Hypertension, Pre-hypertension, Urban slum
INTRODUCTION
Cardiovascular disease is one of the predominant Global health concerns, which is one of the leading causes of premature mortality and morbidity.1 In India, cardiovascular diseases are the major contributing factors behind significant proportion of years of life lost and disability-adjusted life years.2 As per WHO estimates, NCDs contribute to around 5.87 million deaths annually in India which account for around 60 % of all deaths in the Country.3 India shares more than two-third of the total deaths due to NCDs in the South-East Asia Region (SEAR).3 As measured through surveys of NFHS-4 (2015-16) and NFHS–5 (2019-20), data related to risk factors of cardiovascular diseases is showing increase in trends of its risk factors in recent years.4,5 While historically more prevalent in higher socioeconomic strata and urban centers, the burden of cardiovascular disease risk factors such as hypertension, diabetes, obesity and dyslipidemia is increasingly shifting, impacting vulnerable populations residing in urban slums and rural areas.6,7 This shift highlights the critical need to investigate and address these risk factors.8 Studies have consistently shown a high prevalence of non-communicable diseases, including hypertension and diabetes, within urban slum populations in India.9 Undiagnosed hypertension and diabetes, its irregular treatment are factors of public health concern than diagnosed.10
Delhi it the Capital city of India and about 1.78 million people in Delhi reside in Urban slums.11 Prevalence of hypertension in Delhi's slum areas was reported to be as high as 23% in 2014, with another study revealing a 25.3% prevalence among adults in West Delhi slums.8,9 This elevated prevalence underscores the urgent need for focused interventions within these communities, particularly given the higher rates of obesity and dyslipidemia observed among hypertensive individuals in these settings.9 Existence of multiple cardiovascular risk factors like hypertension and dyslipidemia further exacerbates the overall cardiovascular disease risk among these vulnerable populations.9 This rise is concerning for populations in slum areas, who are already at a greater risk of cardiovascular disease due to various socioeconomic and environmental factors.12 This necessitates a deeper exploration into the socio-demographic and behavioral characteristics contributing to this existing risk, particularly considering the complex interplay of age, gender and familial predispositions.13 Therefore, this study was undertaken to identify the CVD risk factors including Hypertension, Diabetes, Obesity, Dyslipidemia and its associated risk factors among the urban slum population in Delhi.
METHODS
Study with a community based cross-sectional design was conducted among two randomly selected urban slums of South Delhi namely Coolie Camp and Moti Lal Nehru Camp. The study was conducted over a period of 01 year and 06 months from June 2022 to December 2023. Based on an expected 20% prevalence of hypertension,14 a sample of 246 individuals aged > 40 years individuals selected through a multistage random sampling technique participated in the study. All urban slums in South Delhi were listed and these two urban slums were randomly selected and houses were line listed and 246 houses were randomly selected, one eligible individual aged > 40 year was randomly selected among the selected households.
Participants with established coronary heart disease, stroke and Pregnant women were excluded from the study. The study was reviewed and approved by Institutional Ethics Committee (IEC) of National Institute of Health and Family Welfare (NIHFW), New Delhi. The primary data was collected by interviewing the randomly selected household adults living in these slums, who fulfilled the participation criteria. After getting the written informed consent, the participants were interviewed at their houses in the community ensuring audio-visual privacy, with a pretested semi-structured interview schedule. The behavioral risk factors explored were smoking, smokeless tobacco use, alcohol consumption, fruit and vegetable intake and physical activity. Physical measurements included height, weight, waist circumference, hip circumference, pulse rate and blood pressure; measurements were done using standardized techniques. Total Serum Cholesterol levels were tested, with all standard biomedical safety precautions. Data analysis was conducted using SPSS Version 28.0 software and analyzed using descriptive and analytical techniques with the help of appropriate statistical tests, viz, mean, proportion, chi-square, etc.
RESULTS
246 participants (102 (41.5%) men and 144 (58.5%) women) participated in the study. The mean age of the participants was 53.38+9.34 years (Men: 53.93+9.57 years and women 52.99+9.19 years). Sociodemographic profile of the participants is shown in Table 1.
Status of hypertension
Out of 246 respondents, only 219 participants were aware about their status of BP, remaining 27 respondents were not sure about the status; out of 219, prevalence of self-reported hypertension is found to be 46.5% (Men: 35.9% & Women: 53.8%). Among those who believed that they were normotensives and who were not sure about their status (n=117), it was observed that 18 (15.4%) were hypertensives, 82 (70.1%) were in pre-hypertension status. Overall prevalence of hypertension (Self-reported and newly detected) is found to be 50.81% (Men: 43.1% & Women: 56.2%). Female gender (p=0.05), elderly age (P<0.01) and hypercholesterolemia (p<0.01), were significantly associated with hypertension. Multivariate analysis showed that female gender, elderly age and having higher levels of cholesterol were significantly associated with hypertension (Table 2).
Status of self-reported diabetes
Regarding the status of diabetes, only 197 were aware about their status and 49 individuals were not sure about their status and out of 197, prevalence of self-reported diabetes is found to be 56.8% (Men: 44 (55%) & Women: 68 (58.1%)).
Status of dyslipidemia
Analysis of distribution of total cholesterol levels shows that 15 (6.1%) and 41 (16.7%) participants were having high and border line high levels of dyslipidemia. Higher proportion of women were having higher levels of dyslipidemia while compared with men (p<0.01) (Figure 2).
Observations on NCD risk factors among men and women shows that Men were having higher proportions of habits of smoking, smokeless tobacco and alcohol while compared with women (p<0.001), but higher proportions of women had abdominal obesity (95.8%) while compared with men (p<0.01). This shows that women have higher burden of dyslipidemia, higher BMI, abdominal obesity and higher burden of hypertension and diabetes.
DISCUSSION
Through this study we are reporting that half of the study population from urban slums of Delhi aged 40 years and above are suffering from Hypertension, more than half are self-reporting that they were already diagnosed with diabetes and nearly 1/4th is having hypercholesterolemia; which indicates a higher burden of NCDs among urban slum dwellers in Delhi. A study published in Lancet Diabetes Endocrinol 2023 on Metabolic non-communicable disease health report of India by R M Anjana and group reported a prevalence 17.8% of diabetes, 45% of hypertension, 60.3% of abdominal obesity in general population of Delhi among adults aged 20 years and older, our study included adult populations aged above 40 years, but our study reveals a slightly higher burden of hypertension of 50.81% among adults above 40 years and older the change is almost marginal, important observation is that in their study burden of hypertension was higher among men compared with women; whereas we are reporting that hypertension is significantly high among women compared to men, which indicates that as age advances chances of hypertension among men and women becomes equally high.20 It’s important to note that even though we assessed a self-reported diabetes prevalence which showed that 56.8% reported that they were already diagnosed with diabetes by a healthcare practitioner. Previous study among adults aged 40 years and above among Nicobarese tribes has showed that self-reported diabetes prevalence was only 7.1%, compared to this a very high prevalence of self-reported diabetes prevalence is observed in this study at 56.8% which calls for an immediate action.21 Study among Nicobarese population had showed that men had lower prevalence of hypertension compared to women and similar findings are found in current study among Delhi urban slum dwellers. Compared to reports by RM Anjana and group, abdominal obesity was high among women; hypercholesterolemia was high among women compared to men, similar findings were observed in our study. Higher burden of dyslipidemia among urban slum dwellers is noted in our study and these findings are aligning with prior research that highlights disproportionately high prevalence rates were observed comparable urban slum settings, this exacerbates the overall cardiovascular disease risk within these communities, necessitating targeted interventions to mitigate adverse health outcomes.22,23 The findings challenge the historical perception of these conditions as "diseases of affluence," demonstrating their pervasive presence across diverse socioeconomic strata.24 Specifically, our findings indicate higher prevalence rates for hypertension, dyslipidemia and diabetes compared to prior studies like the Jaipur Heart Watch-6, suggesting an escalating burden of cardiometabolic risk factors in urban slum populations.25
This escalation is further supported by studies indicating that as many as 70% of individuals in general populations within the National Capital Region exhibit metabolic syndrome, a cluster of these risk factors.25 The substantial evidence linking metabolic syndrome to urban residence and socioeconomic vulnerability further emphasizes the critical need for more research examining its prevalence in India's slum populations.26,27 Presence of higher burden of hypertension, diabetes, dyslipidemia, obesity among women indicates that they are at risk of cardiovascular events even though habits of smoking, smokeless tobacco, alcoholism is less among them. Such findings highlight the necessity of an anthropological examination of health priorities to ensure that interventions are culturally sensitive and aligned with community realities.27
CONCLUSION
Prevalence of hypertension, pre-hypertension and self-reported diabetes is high among adults of urban slum dwellers and women have higher burden along with hypercholesterolemia and abdominal obesity even though they have lesser habits of NCD risk factors compared with men, which calls for immediate actions by conducting regular screening activities for early diagnosis and initiation of treatment for Hypertension, Diabetes, Dyslipidemia with a higher focus on women. Immediate efforts to mitigate NCD risk factors through regular sensitization and awareness activities should to be undertaken to reduce the burden of NCD risk factors in these urban slums.
Funding: No funding sources
Conflict of interest: None declared
Ethical approval: The study was approved by the Institutional Ethics Committee
REFERENCES
- 1. Global Status Report on noncommunicable diseases 2010, Geneva, World Health Organization. 2010.
- 2. Anne CB, Neve JW. A cross-sectional study of cardiovascular disease risk clustering at different socio-geographic levels in India. Nature ComM. 2020;11(1):7987.
- 3. Thansa K. Trends and disparities in non-communicable diseases among Thai older adults: analysis of national health examination surveys, 2008-2020. Interprofess J Health Sci. 2025;23(2):857.
- 4. Dhirar N, Dudeja S, Khandekar J, Bachani D. Childhood morbidity and mortality in India—analysis of national family health survey 4 (NFHS-4) findings. Indian Pediatrics. 2018;55(4):335-8.
- 5. Panda SN, Barik M, Acharya AS, Kanungo S, Pati S. Spatial distribution and factors influencing modern contraceptive practice among tribal married women in India: evidence from National Family Health Survey 5 (2019–2021). BMC Women's Health. 2023;23(1):318.
- 6. Gonmei Z, Dwivedi S. Dyslipidemia among the elderly in slums of West Delhi, Asian J Pharma Clin Res. 2018;11(2):410.
- 7. Wetzel S, Geldsetzer P, Mani SS, Gupta A, Singh K, Ali MK. Changing socioeconomic and geographic gradients in cardiovascular disease risk factors among Indians aged 15–49 years–evidence from nationally representative household surveys. Lancet Regional Health-Southeast Asia. 2023;12:7623.
- 8. Pakhare A, Joshi A, Anwar R, Dubey K, Kumar S. Linkage to primary-care public health facilities for cardiovascular disease prevention: a community-based cohort study from urban slums in India. BMJ Open. 2021;11(8):45997.
- 9. Dwivedi S, Gonmei Z, Toteja GS, Srivastava N. Assessment of risk factors of hypertension among adults residing in urban slum of Delhi. Assessment. 2018;11(1):76.
- 10. Ramu M, Ghosal SR, Biji S, Saida K, Mandal A, Ambreen Fatema, et al. Raising Burden of NCD Risk Factors in Rural and Remote areas of South Andaman Islands in India. J Community Med Pub Health Care. 2023;10:123.
- 11. Department of Economics and Statistics, Delhi. (n.d.). Literate Slum Population. Delhi Government. Available at: https://des.delhi.gov.in/sites. Accessed on: 12 September 2025.
- 12. Chan JJ, Tran-Nhu L, Pitcairn CF, Laverty AA, Mrejen M. Inequalities in the prevalence of cardiovascular disease risk factors in Brazilian slum populations: A cross-sectional study. PLOS Global Public Health. 2022;2(9):990.
- 13. Gyawali B, Mishra SR, Ghimire S, Hansen MR. The burden and correlates of multiple cardiometabolic risk factors in a semi-urban population of Nepal: a community-based cross-sectional study. Scientific Rep. 2019;9(1):15382.
- 14. Premanandh K, Shankar R. Predicting 10-year cardiovascular risk using WHO/ISH risk prediction chart among urban population in Salem. Int J Comm Med Publ Health. 2018;5(12):5228-34.
- 15. Noncommunicable diseases global monitoring framework: Indicator definitions and specifications. World Health Organization 2014. Available at WHO: https://www.who.int/publications/m/item/noncommunicable-diseases-global-monitoring-framework-indicator-definitions-and-specifications Accessed on 12 September 2025.
- 16. World Health Organization. Stepwise approach to ncd risk factor surveillance (steps). 2024.
- 17. Ghodke M. Updated BG Prasad’s Socioeconomic Status Classification for the year 2023. Indian J Comm Med. 2023;48(6):934–6.
- 18. Alasbily H, Abdalrahman S, Elawamy H, Fahmi F, Albarasi A. Correlation Between Lipid Profile Parameters and eGFR in Patients With Type 2 Diabetes. AlQalam J Med Appl Sci. 2025:1744-9.
- 19. World Health Organization. The Asia-Pacific perspective: redefining obesity and its treatment. 2020.
- 20. Anjana RM, Unnikrishnan R, Deepa M. ICMR-INDIAB Collaborative Study Group. Metabolic non-communicable disease health report of India: the ICMR-INDIAB national cross-sectional study (ICMR-INDIAB-17). Lancet Diabetes Endocrinol. 2023;11(7):474-89.
- 21. Manjunatha R, Muruganandam N, Kannan T. Prediction of 10-year cardiovascular disease risk among Nicobarese Tribes of Andaman and Nicobar Islands. Int J Community Med Public Health. 2025;12:817-30.
- 22. Singh MM, Basu S, Lalwani H, Rao S, Maheshwari V, Garg S. Hypertension care cascade in an urban resettlement colony and slum in Delhi, India: a cross-sectional survey. BMC Publ Heal. 2023;23(1):2116.
- 23. Sridher S, Thulasiram S, Rishwanth R, Sakthivel G, Rahul V, Uma Maheswari R. Health status of traffic police personnel in Chennai city. Alcohol. 2017;20(67):48-2.
- 24. George CE, Norman G, Wadugodapitya A, Rao SV, Nalige S. Health issues in a Bangalore slum: findings from a household survey using a mobile screening toolkit in Devarajeevanahalli. BMC Publ Heal. 2019;19(1):456.
- 25. Sharma P, Kumar P, Sharma R, Prakash S. Assessment of Cardiometabolic risk factors among local population of National Capital Region. Asian J Pharma Clin Res. 2017;10(8):211.
- 26. Krupp K, Rao AP, Pope B, Ravi K, Khan A. Prevalence and correlates of metabolic syndrome among women living in urban slums, Mysore, India. PLOS Global Publ Heal. 2023;3(7):846.
- 27. Yasmin K. Cardiometabolic Risk Factors in South Asians: An Epidemiological and Anthropological Study in an Urban Populace of Eastern India. 2024.