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Morbidity compression or expansion? A temporal analysis of the age at onset of non-communicable diseases in India

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Abstract

While there is evidence of morbidity compression in many countries, temporal patterns of non-communicable diseases (NCDs) in developing countries, such as India, are less clear. Age at onset of disease offers insights to understanding epidemiologic trends and is a key input for public health programs. Changes in age at onset and duration of major NCDs were estimated for 2004 (n = 38,044) and 2018 (n = 43,239) using health surveys from the India National Sample Survey (NSS). Survival regression models were used to compare trends by sociodemographic characteristics. Comparing 2004 to 2018, there were reductions in age at onset and increases in duration for overall and cause-specific NCDs. Median age at onset decreased for NCDs overall (57 to 53 years) and for diabetes, hypertension, heart disease, asthma, mental diseases, eye disease, and bone disease in the range of 2–7 years and increased for cancer, neurological disorders, some genitourinary disorders, and injuries/accidents in the range of 2–14 years. Hazards of NCDs were higher among females for cancers (HR 1.51, 95% CI 1.19–1.90) and neurological disorders (HR 1.18, 95% CI 1.06–1.32) but lower for heart diseases (HR 0.88, 95% CI 0.79–0.97) and injuries/accidents (HR 0.87, 95% CI 0.77–0.99). Hazards were greater among those with lower educational attainment at younger ages and higher educational attainment later in life. Unlike many countries, chronic disease morbidity may be expanding in India for many chronic diseases, indicating excess strain on the health system. Public health programs should focus on early diagnosis and prevention of NCDs.

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References

  1. World Health Organization. Noncommunicable Diseases Country Profiles 2018. World heal. Organ. 2018.

  2. Forouzanfar MH, Afshin A, Alexander LT, Biryukov S, Brauer M, Cercy K, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388:1659–724.

    Article  Google Scholar 

  3. Cao B, Bray F, Ilbawi A, Soerjomataram I. Effect on longevity of one-third reduction in premature mortality from non-communicable diseases by 2030: a global analysis of the Sustainable Development Goal health target. Lancet Glob Heal [Internet]. The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license; 2018;6:e1288–96. Available from: https://doi.org/10.1016/S2214-109X(18)30411-X

  4. Mahal A, Karan A, Engelgau M. The economic implications of non-communicable disease for India. 2010.

  5. Fries J. The compression of morbidity the finite life span. Milbank Q Publ by Blackwell Publ Repr from Milbank Meml Fund Q. 2005;83:801–23.

    Google Scholar 

  6. Beltrán-Sánchez H, Razak F, Subramanian S V. Going beyond the disability-based morbidity definition in the compression of morbidity framework. Glob Health Action. 2014;7.

  7. Beltrán-Sánchez H, Jiménez MP, Subramanian SV. Assessing morbidity compression in two cohorts from the health and retirement study. J Epidemiol Community Health. 2016;70:1011–6.

    Article  Google Scholar 

  8. Mirelman AJ, Rose S, Khan JA, Ahmed S, Peters DH, Niessen LW, et al. The relationship between non-communicable disease occurrence and poverty – evidence from demographic surveillance in Matlab, Bangladesh. Health Policy Plan. 2016;31:785–92.

    Article  Google Scholar 

  9. Allen L, Williams J, Townsend N, Mikkelsen B, Roberts N, Foster C, et al. Poverty and risk factors for non-communicable diseases in developing countries: a systematic review. Lancet. 2016;388:S17. Elsevier Ltd; Available from. https://doi.org/10.1016/S0140-6736(16)32253-X.

    Article  Google Scholar 

  10. Abegunde DO, Mathers CD, Adam T, Ortegon M, Strong K. The burden and costs of chronic diseases in low-income and middle-income countries. Lancet. 2007;370:1929–38.

    Article  Google Scholar 

  11. Islam SMS, Purnat TD, Phuong NTA, Mwingira U, Schacht K, Fröschl G. Non communicable diseases (NCDs) in developing countries: a symposium report. Glob Health. 2014;10:81.

    Article  Google Scholar 

  12. Gowshall M, Taylor-Robinson SD. The increasing prevalence of non-communicable diseases in low-middle income countries: the view from Malawi. Int J Gen Med. 2018;11:255–64.

    Article  CAS  Google Scholar 

  13. Chen S, Kuhn M, Prettner K, Bloom DE. The macroeconomic burden of noncommunicable diseases in the United States: estimates and projections. PLoS One. 2018;13:1–14.

    Google Scholar 

  14. Nikolic IA, Stanciole AE, Zaydman M. Chronic emergency : why NCDs matter – Health Nutrition and Population (HPN) discussion paper [Internet]. 2011. Available from: http://siteresources.worldbank.org/%5CnHEALTHNUTRITIONANDPOPULATION/Resources/281627-%5Cn1095698140167/ChronicEmergencyWhyNCDsMatter.pdf. Accessed 16 ‎Nov ‎2019, ‏‎17:52:29

  15. Bennett JE, Stevens GA, Mathers CD, Bonita R, Rehm J, Kruk ME, et al. NCD countdown 2030: worldwide trends in non-communicable disease mortality and progress towards Sustainable Development Goal target 3.4. Lancet. 2018;392:1072–88.

    Article  Google Scholar 

  16. Niessen LW, Mohan D, Akuoku JK, Mirelman AJ, Ahmed S, Koehlmoos TP, et al. Tackling socioeconomic inequalities and non-communicable diseases in low-income and middle-income countries under the Sustainable Development agenda. Lancet. 2018;391:2036–46. Elsevier ltd;Available from:. https://doi.org/10.1016/S0140-6736(18)30482-3.

    Article  PubMed  Google Scholar 

  17. Bloom DE, Cafiero-Fonseca ET, Candeias V, Adashi E, Bloom L, Gurfein L, et al. Economics of non-communicable diseases in India – a report by the World Economic Forum and the Harvard School of Public Health. World Econ Forum Harvard Sch Public Heal [Internet]. 2014;64. Available from: http://www.sciencedirect.com/science/article/pii/S0305750X9800059X/5Cn. http://www.jstor.org/stable/4405541%5Cn. http://documents.worldbank.org/curated/en/2010/10/12932732/prevention-control-selected-chronic-ncds-sri-lanka-policy-options-action/5Cn.http://mail. Accessed 20 ‎Nov ‎2019, ‏‎13:52:30

  18. Dandona L, Dandona R, Kumar GA, Shukla DK, Paul VK, Balakrishnan K, et al. Nations within a nation: variations in epidemiological transition across the states of India, 1990–2016 in the Global Burden of Disease Study. Lancet. 2017;390(10111):2437–60. https://doi.org/10.1016/S0140-6736(17)32804-0.

    Article  Google Scholar 

  19. ICMR PI. India: health of the nation’s states: the India state-level disease burden initiative. New Delhi, 2017.

  20. Engelgau MM, Karan A, Mahal A. The economic impact of non-communicable diseases on households in India. Glob Health. 2012;8:9–12.

    Article  Google Scholar 

  21. Kastor A, Mohanty SK. Disease-specific out-of-pocket and catastrophic health expenditure on hospitalization in India: do Indian households face distress health financing? PLoS One. 2018;13:1–18.

    Article  Google Scholar 

  22. Pandey A, Anil Kumar G, Dandona R, Dandona L. Variations in catastrophic health expenditure across the states of India: 2004 to 2014. PLoS One. 2018;13:1–15.

    Google Scholar 

  23. Pandey A, Ploubidis GB, Clarke L, Dandona L. Trends in catastrophic health expenditure in India: 1993 to 2014. Bull World Health Organ. 2018;96:18–28.

    Article  Google Scholar 

  24. MoHFW. National Health Policy 2017. New Delhi, India. 2017 https://mohfw.gov.in/sites/default/files/9147562941489753121.pdf. Accessed 20 Jan 2020, 14:52:22

  25. Srivastava RK, Bachani D. Burden of NCDs, policies and programme for prevention and control of NCDs in India. Indian J. Community Med. 2011.

  26. 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.

    Article  Google Scholar 

  27. Subramanian S, Gakunga R, Kibachio J, Gathecha G, Edwards P, Ogola E, et al. Cost and affordability of non-communicable disease screening, diagnosis and treatment in Kenya: patient payments in the private and public sectors. PLoS One. 2018;13:1–16.

    CAS  Google Scholar 

  28. Huffman MD, Rao KD, Pichon-Riviere A, Zhao D, Harikrishnan S, Ramaiya K, et al. A cross-sectional study of the microeconomic impact of cardiovascular disease hospitalization in four low- and middle-income countries. PLoS One. 2011;6:e20821.

    Article  CAS  Google Scholar 

  29. Kjeldsen SE, Julius S, Mancia G, McInnes GT, Hua T, Weber MA, et al. Effects of valsartan compared to amlodipine on preventing type 2 diabetes in high-risk hypertensive patients: the VALUE trial. J Hypertens. 2006;24(7):1405–12.

    Article  CAS  Google Scholar 

  30. Capistrant BD, Berkman LF, Glymour MM. Does duration of spousal caregiving affect risk of depression onset? Evidence from the Health and Retirement Study. Am J Geriatr Psychiatry. 2014;22(8):766–70.

    Article  Google Scholar 

  31. NSSO. Morbidity, health care and the condition of the aged. Report No 507 (60/25.0/1). New Delhi: Ministry of Statistics and Programme Implementation, Government of India; 2006.

    Google Scholar 

  32. NSSO (2019). Health in India. Report No 586 (75/25.0). New Delhi: Ministry of Statistics and Programme Implementation, Government of India: 2019.

  33. Cox BDR. Regression models and life-tables Author ( s ): D. R. Cox Source : Journal of the Royal Statistical Society. Series B ( Methodological ), Vol. 34 , No. 2 Published by : Blackwell Publishing for the Royal Statistical Society Stable URL : http://www.js. Society. 2009;34:187–220. Accessed 25 ‎Feb 2020, ‏‎15:55:06

  34. Arokiasamy P India’s escalating burden of non-communicable diseases. Lancet Glob Heal. The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license; 2018;6:e1262–3. Available from: https://doi.org/10.1016/S2214-109X(18)30448-0

  35. Nethan S, Sinha D, Mehrotra R. Non communicable disease risk factors and their trends in India. Asian Pac J Cancer Prev. 2017;18:2005–10.

    PubMed  PubMed Central  Google Scholar 

  36. Beaglehole R, Bonita R, Horton R, Adams C, Alleyne G, Asaria P, et al. Priority actions for the non-communicable disease crisis. Lancet. 2011;377:1438–47. Elsevier Ltd; Available from. https://doi.org/10.1016/S0140-6736(11)60393-0.

    Article  PubMed  Google Scholar 

  37. Cai L, Lubitz J. Was there compression of disability for older Americans from 1992 to 2003? Demography. 2007;44(3):479–95.

    Article  Google Scholar 

  38. Colvez A, Blanchet M. Disability trends in the United States population 1966-76: analysis of reported causes. Am. J. Public Health. 1981;71(5):464–71.

  39. Rothenberg R, Lentzner HR, Parker RA. Population aging patterns: The expansion of mortality. J. Geronto. 1991;46(2):S66–S70.

  40. Allen L, Cobiac L, Townsend N. Quantifying the global distribution of premature mortality from non-communicable diseases. J. Public Health, 2017;39(4):698-703.

  41. Patel V, Chatterji S, Chisholm D, Ebrahim S, Gopalakrishna G, Mathers, C., ... & Reddy KS. Chronic diseases and injuries in India. The Lancet, 2011;377(9763), 413-428.

  42. Bakshi H, Sharma R, Kumar P. Ayushman Bharat initiative (2018): What we stand to gain or lose! Indian J. Community Med. 2018. P. 63–6.

  43. Tim Adair. Progress towards reducing premature NCD mortality. The Lancet Global Health 2018;6(12):e1254–e1255.

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Mohanty, S.K., Rodgers, J., Singh, R.R. et al. Morbidity compression or expansion? A temporal analysis of the age at onset of non-communicable diseases in India. GeroScience 43, 409–422 (2021). https://doi.org/10.1007/s11357-020-00296-9

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