Nations within a nation: variations in epidemiological transition across the states of India, 1990-2016 in the Global Burden of Disease Study

被引:541
作者
Dandona, Lalit [1 ,2 ]
Dandona, Rakhi [1 ,2 ]
Kumar, G. Anil [1 ,2 ]
Shukla, D. K. [1 ,3 ]
Paul, Vinod K. [1 ,4 ]
Balakrishnan, Kalpana [1 ,15 ]
Prabhakaran, Dorairaj [1 ,2 ]
Tandon, Nikhil [1 ,5 ]
Salvi, Sundeep [1 ,16 ]
Dash, A. P. [1 ,17 ]
Nandakumar, A. [1 ,3 ,18 ]
Patel, Vikram [1 ,2 ,19 ]
Agarwal, Sanjay K. [1 ,6 ]
Gupta, Prakash C. [1 ,20 ]
Dhaliwal, R. S. [1 ,3 ]
Mathur, Prashant [1 ,18 ]
Laxmaiah, Avula [1 ,21 ]
Dhillon, Preet K. [1 ,2 ]
Dey, Subhojit [1 ]
Mathur, Manu R. [1 ,2 ]
Afshin, Ashkan [1 ]
Fitzmaurice, Christina [1 ]
Gakidou, Emmanuela [1 ]
Gething, Peter [1 ,23 ]
Hay, Simon I. [1 ]
Kassebaum, Nicholas J. [1 ]
Kyu, Hmwe [1 ]
Lim, Stephen S. [1 ]
Naghavi, Mohsen [1 ]
Roth, Gregory A. [1 ]
Stanaway, Jeffrey D. [1 ]
Whiteford, Harvey [1 ,24 ]
Chadha, Vineet K. [1 ,25 ]
Khaparde, Sunil D. [1 ,26 ]
Rao, Raghuram [1 ,26 ]
Rade, Kirankumar [1 ,26 ]
Dewan, Puneet [1 ,33 ]
Furtado, Melissa [1 ,2 ]
Dutta, Eliza [1 ,2 ]
Varghese, Chris M. [1 ,2 ]
Mehrotra, Ravi [1 ,34 ]
Jambulingam, P. [1 ,35 ]
Kaur, Tanvir [1 ,3 ]
Sharma, Meenakshi [1 ,3 ]
Singh, Shalini [1 ,3 ]
Arora, Rashmi [1 ,3 ]
Rasaily, Reeta [1 ,3 ]
Anjana, Ranjit M. [1 ,36 ,37 ]
Mohan, Viswanathan [1 ,36 ,37 ]
Agrawal, Anurag [1 ,38 ]
机构
[1] Publ Hlth Fdn India, Gurugram 122002, National Capita, India
[2] Univ Washington, Inst Hlth Metr & Evaluat, Seattle, WA 98195 USA
[3] Indian Council Med Res, New Delhi, India
[4] All India Inst Med Sci, Dept Paediat, New Delhi, India
[5] All India Inst Med Sci, Dept Endocrinol, New Delhi, India
[6] All India Inst Med Sci, Dept Nephrol, New Delhi, India
[7] All India Inst Med Sci, Natl Drug Dependence Treatment Ctr, New Delhi, India
[8] All India Inst Med Sci, Dept Pulm Med, New Delhi, India
[9] All India Inst Med Sci, Ctr Community Med, New Delhi, India
[10] All India Inst Med Sci, Dept Orthopaed, New Delhi, India
[11] All India Inst Med Sci, Dept Neurol, New Delhi, India
[12] All India Inst Med Sci, Dr BRA Inst Rotary Canc Hosp, New Delhi, India
[13] All India Inst Med Sci, Dept Cardiol, New Delhi, India
[14] All India Inst Med Sci, Dept Psychiat, New Delhi, India
[15] Sri Ramachandra Univ, Dept Environm Hlth Engn, Madras, Tamil Nadu, India
[16] Chest Res Fdn, Pune, Maharashtra, India
[17] Cent Univ Tamil Nadu, Thiruvarur, India
[18] Indian Council Med Res, Natl Ctr Dis Informat & Res, Bengaluru, India
[19] Harvard Med Sch, Dept Global Hlth & Social Med, Boston, MA USA
[20] Healis Sekhsaria Inst Publ Hlth, Bombay, Maharashtra, India
[21] Indian Council Med Res, Natl Inst Nutr, Hyderabad, Andhra Pradesh, India
[22] Publ Hlth Fdn India, Indian Inst Publ Hlth Delhi, Gurugram, India
[23] Univ Oxford, Li Ka Shing Ctr Hlth Informat & Discovery, Big Data Inst, Oxford, England
[24] Univ Queensland, Brisbane, Qld, Australia
[25] Natl TB Inst, Bengaluru, India
[26] Govt India, Cent TB Div, New Delhi, India
[27] Govt India, Natl Ctr Dis Control, New Delhi, India
[28] Govt India, Natl Ctr Dis Control, New Delhi, India
[29] Govt India, Div Child Hlth, New Delhi, India
[30] Govt India, Natl Vector Borne Dis Control Programme, New Delhi, India
[31] Govt India, Minist Hlth & Family Welf, Natl AIDS Control Org, New Delhi, India
[32] WHO, India Country Off, New Delhi, India
[33] Bill & Melinda Gates Fdn, India Country Off, New Delhi, India
[34] Indian Council Med Res, Natl Inst Canc Prevent & Res, Noida, India
[35] Indian Council Med Res, Vector Control Res Ctr, Pondicherry, India
[36] Madras Diabet Res Fdn, Madras, Tamil Nadu, India
[37] Dr Mohans Diabet Special Ctr, Madras, Tamil Nadu, India
[38] Inst Genom & Integrat Biol, CSIR, New Delhi, India
[39] Ctr Rheumat Dis, Pune, Maharashtra, India
[40] Christian Med Coll & Hosp, Dept Clin Immunol & Rheumatol, Vellore, Tamil Nadu, India
[41] Christian Med Coll & Hosp, Dept Pulm Med, Vellore, Tamil Nadu, India
[42] Christian Med Coll & Hosp, Dept Community Hlth, Vellore, Tamil Nadu, India
[43] Christian Med Coll & Hosp, Dept Endocrinol Diabet & Metab, Vellore, Tamil Nadu, India
[44] Christian Med Coll & Hosp, Dept Nephrol, Vellore, Tamil Nadu, India
[45] Manonmaniam Sundaranar Univ, Dept Stat, Thirunelveli, India
[46] Postgrad Inst Med Educ & Res, Dept Pulm Med, Chandigarh, India
[47] Postgrad Inst Med Educ & Res, Dept Endocrinol, Chandigarh, India
[48] Postgrad Inst Med Educ & Res, Dept Obstet & Gynaecol, Chandigarh, India
[49] Postgrad Inst Med Educ & Res, Sch Publ Hlth, Chandigarh, India
[50] Sanjay Gandhi Postgrad Inst Med Sci, Dept Gastroenterol, Lucknow, Uttar Pradesh, India
基金
比尔及梅琳达.盖茨基金会;
关键词
HEALTH; SAFETY; AGENDA;
D O I
10.1016/S0140-6736(17)32804-0
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background 18% of the world's population lives in India, and many states of India have populations similar to those of large countries. Action to effectively improve population health in India requires availability of reliable and comprehensive state-level estimates of disease burden and risk factors over time. Such comprehensive estimates have not been available so far for all major diseases and risk factors. Thus, we aimed to estimate the disease burden and risk factors in every state of India as part of the Global Burden of Disease (GBD) Study 2016. Methods Using all available data sources, the India State-Level Disease Burden Initiative estimated burden (metrics were deaths, disability-adjusted life-years [DALYs], prevalence, incidence, and life expectancy) from 333 disease conditions and injuries and 84 risk factors for each state of India from 1990 to 2016 as part of GBD 2016. We divided the states of India into four epidemiological transition level (ETL) groups on the basis of the ratio of DALYs from communicable, maternal, neonatal, and nutritional diseases (CMNNDs) to those from non-communicable diseases (NCDs) and injuries combined in 2016. We assessed variations in the burden of diseases and risk factors between ETL state groups and between states to inform a more specific health-system response in the states and for India as a whole. Findings DALYs due to NCDs and injuries exceeded those due to CMNNDs in 2003 for India, but this transition had a range of 24 years for the four ETL state groups. The age-standardised DALY rate dropped by 36.2% in India from 1990 to 2016. The numbers of DALYs and DALY rates dropped substantially for most CMNNDs between 1990 and 2016 across all ETL groups, but rates of reduction for CMNNDs were slowest in the low ETL state group. By contrast, numbers of DALYs increased substantially for NCDs in all ETL state groups, and increased significantly for injuries in all ETL state groups except the highest. The all-age prevalence of most leading NCDs increased substantially in India from 1990 to 2016, and a modest decrease was recorded in the age-standardised NCD DALY rates. The major risk factors for NCDs, including high systolic blood pressure, high fasting plasma glucose, high total cholesterol, and high body-mass index, increased from 1990 to 2016, with generally higher levels in higher ETL states; ambient air pollution also increased and was highest in the low ETL group. The incidence rate of the leading causes of injuries also increased from 1990 to 2016. The five leading individual causes of DALYs in India in 2016 were ischaemic heart disease, chronic obstructive pulmonary disease, diarrhoeal diseases, lower respiratory infections, and cerebrovascular disease; and the five leading risk factors for DALYs in 2016 were child and maternal malnutrition, air pollution, dietary risks, high systolic blood pressure, and high fasting plasma glucose. Behind these broad trends many variations existed between the ETL state groups and between states within the ETL groups. Of the ten leading causes of disease burden in India in 2016, five causes had at least a five-times difference between the highest and lowest state-specific DALY rates for individual causes. Interpretation Per capita disease burden measured as DALY rate has dropped by about a third in India over the past 26 years. However, the magnitude and causes of disease burden and the risk factors vary greatly between the states. The change to dominance of NCDs and injuries over CMNNDs occurred about a quarter century apart in the four ETL state groups. Nevertheless, the burden of some of the leading CMNNDs continues to be very high, especially in the lowest ETL states. This comprehensive mapping of inequalities in disease burden and its causes across the states of India can be a crucial input for more specific health planning for each state as is envisioned by the Government of India's premier think tank, the National Institution for Transforming India, and the National Health Policy 2017. Copyright (C) The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
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页码:2437 / 2460
页数:24
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