COMPARISON OF NATIONAL FAMILY HEALTH SURVEY-4 AND NATIONAL FAMILY HEALTH SURVEY-5 FOR NON-COMMUNICABLE DISEASE AND ITS RISK FACTORS IN CHHATTISGARH
Main Article Content
Keywords
Non-Communicable Disease, health survey, Risk Factors
Abstract
Background: The epidemiological landscape of Chhattisgarh, India, is shifting with a rise in the prevalence of non-communicable diseases (NCDs) such as hypertension, diabetes and cardiovascular diseasesn. This study compares the prevalence and the risk factors of NCDs in the state using National Family Health Survey (NFHS) data. Socio-economic disparities, lifestyle changes, and demographic shifts contribute to this trend. Understanding these patterns is crucial for developing targeted health interventions to mitigate the growing NCD burden in Chhattisgarh. This study compares the prevalence of non-communicable disease and its risk factor in the Chhattisgarh state, India
Methods: This study compares NFHS-4 and NFHS-5 data for Chhattisgarh using state and district fact sheets from IIPS. Key indicators analysed include body mass index, waist circumference, waist-to-hip ratio, use of tobacco and alcohol, hypertension, diabetes, cancer screening.
Results: The study comparison of data of two survey on non-communicable disease, Obesity and overweight have increased among men and women. Blood sugar levels show a decline in high cases but an increase in very high cases for women. Hypertension has risen, while cancer screenings have declined. Tobacco and alcohol consumption have reduced, but intake of fried food and aerated drinks has increased. Physical inactivity has risen, with more individuals using motorcycles and cars.
Conclusion:The rising prevalence of NCDs in Chhattisgarh highlights the need for targeted public health interventions. Promoting healthy lifestyles, improving nutrition awareness, and increasing access to healthcare can help mitigate this growing health crisis.
References
2. Nandi C, Mitra K, Bhaumik D, Paul SP. An observational study on pattern of mortalities as per ICD-10 classification system in a tertiary care hospital in India. Asian J Med Sci. 2021 Oct 1;12(10):69–74.
3. Rai SK, Kant S, Misra P, Srivastava R, Pandav CS. Cause of death during 2009–2012, using a probabilistic model (InterVA-4): an experience from Ballabgarh Health and Demographic Surveillance System in India. Glob Health Action. 2014 Dec 29;7(1).
4. Chakma T, Kavishwar A, Sharma RK, Rao PV. High prevalence of hypertension and its selected risk factors among adult tribal population in Central India. Pathog Glob Health. 2017 Oct 3;111(7):343–50.
5. Bramhankar M, Dhar M. Morbidity transition at the national and sub-national level and their determinants over the past and contemporary period in India. PLoS One. 2024 Jun 21;19(6):e0304492.
6. Shrivastava S, Kumar R, Khan S, Kavishwar A, Gupta A, Kaur H, et al. Health profile of people living in the Gare Palma mining area of Tamnar block, Raigarh, Chhattisgarh, India. Front Public Health. 2023 Mar 21;11.
7. Gaye B, Diop M, Narayanan K, Offredo L, Reese P, Antignac M, et al. Epidemiological transition in morbidity: 10-year data from emergency consultations in Dakar, Senegal. BMJ Glob Health. 2019 Jul 19;4(4):e001396.
8. Dutta M, Selvamani Y, Singh P, Prashad L. The double burden of malnutrition among adults in India: evidence from the National Family Health Survey-4 (2015-16). Epidemiol Health. 2019 Dec 18;41:e2019050.
9. Tandon N, Anjana RM, Mohan V, Kaur T, Afshin A, Ong K, et al. The increasing burden of diabetes and variations among the states of India: the Global Burden of Disease Study 1990–2016. Lancet Glob Health. 2018 Dec;6(12):e1352–62.
10. Wells JCK, Pomeroy E, Walimbe SR, Popkin BM, Yajnik CS. The Elevated Susceptibility to Diabetes in India: An Evolutionary Perspective. Front Public Health. 2016 Jul 7;4.
11. Abraham J, N. N, Johns F, Aiyappan R, M. M, Shibu P, et al. Nutritional status of older adults in a community in Pathanamthitta district of Kerala. Int J Res Med Sci. 2017 Dec 23;6(1):210.
12. Mohan P, Lando HA, Panneer S. Assessment of Tobacco Consumption and Control in India. Indian Journal of Clinical Medicine. 2018 Jan 1;9.
13. Mann I, Khubber M, Gupta AK, Matreja PS, Rao HK. Assessment of the health related quality of life in patients suffering from hypertension and diabetes mellitus: A cross sectional study. Bangladesh Journal of Medical Science. 2016 Apr 11;15(1):84–9.
14. Bera OP, Mondal H, Bhattacharya S. Empowering Communities: A Review of Community-Based Outreach Programs in Controlling Hypertension in India. Cureus. 2023 Dec 18;
15. Basu S, Roy S, Malik M. Decoding the Hypertension Care Cascade and Unlocking Influential Factors Among Indian Adolescents: Evidence from Nationally representative Cross-sectional survey. 2024 May 3;
16. Das AK, Mithal A, Kumar KMP, Unnikrishnan AG, Kalra S, Thacker H, et al. Rationale, study design and methodology of the LANDMARC trial: a 3‐year, pan‐India, prospective, longitudinal study to assess management and real‐world outcomes of diabetes mellitus. Diabetic Medicine. 2020 May 15;37(5):885–92.
17. Rahman S. Diabetes and macrovasculopthy: Double trouble! South East Asia Journal of Public Health. 2014 Aug 17;3(2):1–3.
Article Sidebar
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All articles published in JPTCP are licensed under Copyright Creative Commons Attribution-NonCommercial 4.0 International License.
Ajit Chhatre
Master of Surgery, Consultant Surgeon VY Institute of Medical Science Private Limited 492001, Dhamtari Road, Raipur, India
Rajesh Aggrawal
Doctor of Medical Sciences, Consultant Physician VY Institute of Medical Science Private Limited 492001, Dhamtari Road, Raipur, India,
Revati Gupta
Doctor of Medical Sciences, Consultant Physician VY Institute of Medical Science Private Limited 492001, Dhamtari Road, Raipur, India
Vishnu Gupta
Master of Surgery, Consultant Surgeon VY Institute of Medical Science Private Limited 492001, Dhamtari Road, Raipur, India