The contribution of most of the major non-communicable disease groups to the total disease burden has increased all over India since 1990, including cardiovascular diseases, diabetes, chronic respiratory diseases, mental health and neurological disorders, cancers, musculoskeletal disorders and chronic kidney disease.

On the other hand, the DALY rates of stroke varied across the states without any consistent pattern in relation to the stage of epidemiological transition. This variety of trends of the different major non-communicable diseases indicates that policy and health system interventions to tackle their increasing burden have to be informed by the specific trends in each state. Increasing but variable burden of injuries among states.

The contribution of injuries to the total disease burden has increased in most states since 1990. The highest proportion of disease burden due to injuries is in young adults. Road injuries and self-harm, which includes suicides and non-fatal outcomes of self-harm, are the leading contributors to the injury burden in India. The range of disease burden or DALY rate varied 3 fold for road injuries and 6 fold for self-harm among the states of India in 2016. There was no consistent relationship between the DALY rates of road injuries or self-harm versus the stage of epidemiological transition of the states. The burden due to road injuries was much higher in males than in females. The DALY rate for self-harm for India as a whole was 1.8 times higher than the average globally for other geographies at a similar level of development in 2016.

The report says the disease burden due to child and maternal malnutrition has dropped in India substantially since 1990; this is still the single largest risk factor, responsible for 15% of the total disease burden in India in 2016.

This burden is highest in the major EAG states and Assam, and is higher in females than in males. Child and maternal malnutrition contributes to disease burden mainly through increasing the risk of neonatal disorders, nutritional deficiencies, diarrhoeal diseases, lower respiratory infections, and other common infections. As a stark contrast, the disease burden due to child and maternal malnutrition in India was 12 times higher per person than in China in 2016.

Kerala had the lowest burden due to this risk among the Indian states, but even this was 2.7 times higher per person than in China.

This situation after decades of nutritional interventions in the country must be rectified as one of the highest priorities for health improvement in India. Unsafe water and sanitation improving, but not enough yet Unsafe water and sanitation was the second leading risk responsible for disease burden in India in 1990, but dropped to the seventh leading risk in 2016, contributing 5% of the total disease burden, mainly through diarrheal diseases and other infections. The burden due to this risk is also highest in several EAG states and Assam, and higher in females than in males.

The improvement in exposure to this risk from 1990 to 2016 was least in the EAG states, indicating that higher focus is needed in these states for more rapid improvements.

Remarkably, the per person disease burden due to unsafe water and sanitation was 40 times higher in India than in China in 2016. The massive effort of the ongoing Swachh Bharat Abhiyan has the potential to improve this situation. Improvement was notice in household air pollution. Outdoor pollution worsened air pollution and remained high in India between 1990 and 2016, with levels of exposure among the highest in the world.

It causes burden through a mix of non-communicable and infectious diseases, mainly cardiovascular diseases, chronic respiratory diseases, and lower respiratory infections.

The burden of household air pollution decreased during this period due to decreasing use of solid fuels for cooking, and that of outdoor air pollution increased due to a variety of pollutants from power production, industry, vehicles, construction, and waste burning. Household air pollution was responsible for 5% of the total disease burden in India in 2016, and outdoor air pollution for 6%. The burden due to household air pollution is highest in the EAG states, where its improvement since 1990 has also been the slowest.

On the other hand, the burden due to outdoor air pollution is highest in a mix of northern states, including Haryana, Uttar Pradesh, Punjab, Rajasthan, Bihar, and West Bengal. Control of air pollution has to be ramped up through inter-sectoral collaborations based on the specific situation of each state.

Importance of understanding the specific health situation of each state

Understanding the health and disease trends in groups of states at a similar level of development or epidemiological transition is an important intermediate step in teasing apart the heterogeneity of disease and risk factor epidemiology in India. However, effective action to improve health must finally be based on the specific health situation of each state. This point is elucidated by significant variations in the burden from leading diseases and risk factors in 2016 between the following pairs of states that have physical proximity and are at similar levels of development and epidemiological transition.

The major EAG states of Madhya Pradesh and Uttar Pradesh both have a relatively lower level of development indicators and are at a similar less advanced epidemiological transition stage. However, Uttar Pradesh had 50% higher disease burden per person from chronic obstructive pulmonary disease, 54% higher burden from tuberculosis, and 30% higher burden from diarrheal diseases, whereas Madhya Pradesh had 76% higher disease burden per person from stroke.

The cardiovascular risks were generally higher in Madhya Pradesh, and the unsafe water and sanitation risk was relatively higher in Uttar Pradesh. The two North-East India states of Manipur and Tripura are both at a lower-middle stage of epidemiological transition but have quite different disease burden rates from specific leading diseases.

Tripura had 49% higher per person burden from ischaemic heart disease, 52% higher from stroke, 64% higher from chronic obstructive pulmonary disease, 159% higher from iron-deficiency anaemia, 59% higher from lower respiratory infections, and 56% higher from neonatal disorders.

Manipur, on the other hand, had 88% higher per person burden from tuberculosis and 38% higher from road injuries. Regarding the level of risks, child and maternal malnutrition, air pollution, and several of the cardiovascular risks were higher in Tripura.

The two adjoining north Indian states of Himachal Pradesh and Punjab both have a relatively higher level of development indicators and are at a similar more advanced epidemiological transition stage. However, there were striking differences between them in the level of burden from specific leading diseases.

Punjab had 157% higher per person burden from diabetes, 134% higher burden from ischaemic heart disease, 49% higher burden from stroke, and 56% higher burden from road injuries.

On the other hand, Himachal Pradesh had 63% higher per person burden from chronic obstructive pulmonary disease. Consistent with these findings, Punjab had substantially higher levels of cardiovascular risks than Himachal Pradesh.

The Executive summary says these examples highlight why it is necessary to understand the specific disease burden trends in each state, over and above the useful broad insights provided by trends common for groups of states at similar levels of epidemiological transition, if health action has to be planned for the specific context of each state.

The chances of achieving the overall health targets set by India would be much higher if the biggest health problems and risks in each state are tackled on priority than with a more generic approach that does not take into account the specific disease burden trends in each state.

Application of the state-level disease burden findings and future work. The findings in this report of the India State-level Disease Burden Initiative can be used for planning of state health budgets, prioritisation of interventions relevant to each state, informing the government’s Health Assurance Mission in each state, monitoring of health-related Sustainable Development Goals targets in each state, assessing impact of large-scale interventions based on time trends of disease burden, and forecasting population health under various scenarios in each state.

Future plans of the India State-level Disease Burden Initiative include annual updates of the estimates based on newly available data, and more disaggregated findings such as the rural-urban estimates planned for next year and sub-state level estimates subsequently when adequate data become available.