Disability-adjusted Life-years In India Research Articles

Behavioural risk-factors of hypertension and its knowledge in rural South India: a cross-sectional study

Background: India, a lower middle-income country with a population of more than 1 billion is undergoing a rapid epidemiological transition characterized by an increased prevalence of non-communicable diseases. It is estimated to account for 10.8% of all deaths and 4.6% of all disability-adjusted life years in India. Hence this study is carried out to assess the socio-demographic profile and risk factors associated with hypertension (HTN) in rural India. and to determine the association between risk factors and hypertensive status. Methods: This is a community-based cross-sectional study in Shivamogga taluk of Karnataka from May-September 2023. Based on 2011 census, Shivamogga taluk has 117601 households bearing population of 507324 and sex-ratio 987 per 1000 males, 36.4% of population lives in urban area and 63.6% in rural area. Ayanur and Matthur are rural field practice area of SIMS having population of 3605 and 3144 respectively. The multi-stage random sampling method is used to study 430 study participants. Results: The study comprised of 430 participants, 162 (37.67%) were among the age group of 50-65 years, 223 (51.86%) were hypertensives and 306 (71.16%) stated that HTN adversely effects health of an individual. 381 (88.6%) opined that reducing salt intake in the diet can significantly reduce the development of HTN in an individual. Conclusions: HTN is a behavioural disease that is increasing day by day and there is no much difference between people living in urban/rural areas. Hence, this needs to be addressed at a primitive level to decrease the prevalence of NCD’s by promoting health, adopting healthy lifestyles and adherence towards medications.

Importance of cardiac magnetic resonance imaging in cardiomyopathies in present scenario

Cardiomyopathy includes a heterogeneous group of diseases and conditions that are caused by mechanical and/or electrical dysfunction and shows inappropriate hypertrophy or dilatation which may be due to various causes, mostly genetic, can be confined only to heart or may be a part of systemic disorders. It includes hypertrophic, dilated, arrhythmogenic right ventricular cardiomyopathy, restrictive, and unclassified type. Cardiac magnetic resonance imaging (C-MRI) is currently the gold standard examination due to its high temporal and spatial resolution. In late gadolinium enhancement (LGE) studies, the gadolinium contrast which is administered, it has a slower washout rate in abnormal areas of increased extracellular space and fibrosis. The normal myocardium gets nulled and the abnormal areas are seen as bright areas on LGE. According to the Global Burden of Diseases, injuries, and risk factors study 2016, cardiomyopathy contributed to 0.12% of total deaths, 0.11% of total disability-adjusted life years in India. The main objective of the article is to review the role of MRI in cardiomyopathies (CMPs), especially after post-COVID-19 pandemic with the purpose whether this can be one shop modality with reference to echocardiography. With the advancement in MRI technology and availability of state of art cardiac coils and cardiac software C-MRI has emerged as modality of choice in diagnosis as well as in follow-up cases of CMPs diseases as it is nonoperator dependent as well as radiation-free modality.

Prevalence of COPD among population above 30 years in India: A systematic review and meta-analysis.

BackgroundBy 2030, Sustainable Development Goal 3.4 aims to reduce the premature mortality caused by non-communicable diseases through prevention and treatment. Chronic obstructive pulmonary disease is the second leading cause of mortality and disability-adjusted life years in India. This review was conducted to estimate the prevalence of COPD using systematic review and meta-analysis technique.MethodSearch was conducted using six databases for studies on COPD among population above 30 years in India between years 2000 to 2020. Cross-sectional and cohort studies reporting prevalence of COPD and associated risk factors were included in the present review. Screening and data extraction was done by two authors independently. Studies were appraised for quality using the modified New Castle Ottawa scale and reporting quality was assessed using STROBE guidelines.ResultOur search returned 8973 records, from which 23 records fulfilled the eligibility criteria. Overall, the prevalence of COPD among population aged 30 years and above in India was 7%. Risk factors like active and passive smoking, biomass fuel exposure, environmental tobacco smoke, occupational exposure to dust, indoor and outdoor pollution, and increasing age were reported to have a significant association with COPD among Indian population.ConclusionOur findings suggest the need for a multicentric national-level research study to understand COPD burden and its contributing risk factors. The findings also suggest the need for COPD sensitive health literacy program focused on early screening and primary prevention of risk factors for COPD, which may help early initiation of self-management practices, that are crucial for better quality of life.

The burden of neurological disorders across the states of India: the Global Burden of Disease Study 1990–2019

SummaryBackgroundA systematic understanding of the burden of neurological disorders at the subnational level is not readily available for India. We present a comprehensive analysis of the disease burden and trends of neurological disorders at the state level in India.MethodsUsing all accessible data from multiple sources, we estimated the prevalence or incidence and disability-adjusted life-years (DALYs) for neurological disorders from 1990 to 2019 for all states of India as part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2019. We assessed the contribution of each neurological disorder to deaths and DALYs in India in 2019, their trends in prevalence or incidence and DALY rates over time, and heterogeneity between the states of India. We also assessed the Pearson correlation coefficient between Socio-demographic Index (SDI) of the states and the prevalence or incidence and DALY rates of each neurological disorder. Additionally, we estimated the contribution of known risk factors to DALYs from neurological disorders. We calculated 95% uncertainty intervals (UIs) for the mean estimates.FindingsThe contribution of non-communicable neurological disorders to total DALYs in India doubled from 4·0% (95% UI 3·2–5·0) in 1990 to 8·2% (6·6–10·2) in 2019, and the contribution of injury-related neurological disorders increased from 0·2% (0·2–0·3) to 0·6% (0·5–0·7). Conversely, the contribution of communicable neurological disorders decreased from 4·1% (3·5–4·8) to 1·1% (0·9–1·5) during the same period. In 2019, the largest contributors to the total neurological disorder DALYs in India were stroke (37·9% [29·9–46·1]), headache disorders (17·5% [3·6–32·5]), epilepsy (11·3% [9·0–14·3]), cerebral palsy (5·7% [4·2–7·7]), and encephalitis (5·3% [3·7–8·9]). The crude DALY rate of several neurological disorders had considerable heterogeneity between the states in 2019, with the highest variation for tetanus (93·2 times), meningitis (8·3 times), and stroke (5·5 times). SDI of the states had a moderate significant negative correlation with communicable neurological disorder DALY rate and a moderate significant positive correlation with injury-related neurological disorder DALY rate in 2019. For most of the non-communicable neurological disorders, there was an increase in prevalence or incidence from 1990 to 2019. Substantial decreases were evident in the incidence and DALY rates of communicable neurological disorders during the same period. Migraine and multiple sclerosis were more prevalent among females than males and traumatic brain injuries were more common among males than females in 2019. Communicable diseases contributed to the majority of total neurological disorder DALYs in children younger than 5 years, and non-communicable neurological disorders were the highest contributor in all other age groups. In 2019, the leading risk factors contributing to DALYs due to non-communicable neurological disorders in India included high systolic blood pressure, air pollution, dietary risks, high fasting plasma glucose, and high body-mass index. For communicable disorders, the identified risk factors with modest contributions to DALYs were low birthweight and short gestation and air pollution.InterpretationThe increasing contribution of non-communicable and injury-related neurological disorders to the overall disease burden in India, and the substantial state-level variation in the burden of many neurological disorders highlight the need for state-specific health system responses to address the gaps in neurology services related to awareness, early identification, treatment, and rehabilitation.FundingBill & Melinda Gates Foundation; and Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.

Neurological disorders in India: past, present, and next steps

Neurological disorders in India: past, present, and next steps

Sociodemographic Determinants of Tuberculosis Burden in India

Introduction: Tuberculosis (TB), the eighth common cause of disability-adjusted life years in India, is a major problem for public health. Social factors such as economic condition and smoking have been implicated among the risk factors for TB. This paper reports the role of different sociodemographic factors in deciding the burden of TB in India. MATERIALS AND METHODS: In an ecological approach, data from major national surveys were analyzed: National Family Health Survey 4, Global Adult Tobacco Survey 2, and India: Health of the Nation’s States. Spearman correlation coefficient and multivariate linear regression were used for state-wise analysis. RESULTS: North India seems to be the major contributor to the national TB burden. Several factors such as the use of clean fuel, tobacco use, and economic condition were seen to impact TB burden. On multivariate analysis, only clean fuel was found to be significant (r = −0.540, P = 0.002). CONCLUSION: A multi-pronged approach for appropriate policy decisions for focussing on sociodemographic factors is the need of the hour for reducing the mortality burden due to TB.

The burden of mental disorders across the states of India: the Global Burden of Disease Study 1990–2017

SummaryBackgroundMental disorders are among the leading causes of non-fatal disease burden in India, but a systematic understanding of their prevalence, disease burden, and risk factors is not readily available for each state of India. In this report, we describe the prevalence and disease burden of each mental disorder for the states of India, from 1990 to 2017.MethodsWe used all accessible data from multiple sources to estimate the prevalence of mental disorders, years lived with disability (YLDs), and disability-adjusted life-years (DALYs) caused by these disorders for all the states of India from 1990 to 2017, as part of the Global Burden of Diseases, Injuries, and Risk Factors Study. We assessed the heterogeneity and time trends of mental disorders across the states of India. We grouped states on the basis of their Socio-demographic Index (SDI), which is a composite measure of per-capita income, mean education, and fertility rate in women younger than 25 years. We also assessed the association of major mental disorders with suicide deaths. We calculated 95% uncertainty intervals (UIs) for the point estimates.FindingsIn 2017, 197·3 million (95% UI 178·4–216·4) people had mental disorders in India, including 45·7 million (42·4–49·8) with depressive disorders and 44·9 million (41·2–48·9) with anxiety disorders. We found a significant, but modest, correlation between the prevalence of depressive disorders and suicide death rate at the state level for females (r2=0·33, p=0·0009) and males (r2=0·19, p=0·015). The contribution of mental disorders to the total DALYs in India increased from 2·5% (2·0–3·1) in 1990 to 4·7% (3·7–5·6) in 2017. In 2017, depressive disorders contributed the most to the total mental disorders DALYs (33·8%, 29·5–38·5), followed by anxiety disorders (19·0%, 15·9–22·4), idiopathic developmental intellectual disability (IDID; 10·8%, 6·3–15·9), schizophrenia (9·8%, 7·7–12·4), bipolar disorder (6·9%, 4·9–9·6), conduct disorder (5·9%, 4·0–8·1), autism spectrum disorders (3·2%, 2·7–3·8), eating disorders (2·2%, 1·7–2·8), and attention-deficit hyperactivity disorder (ADHD; 0·3%, 0·2–0·5); other mental disorders comprised 8·0% (6·1–10·1) of DALYs. Almost all (>99·9%) of these DALYs were made up of YLDs. The DALY rate point estimates of mental disorders with onset predominantly in childhood and adolescence (IDID, conduct disorder, autism spectrum disorders, and ADHD) were higher in low SDI states than in middle SDI and high SDI states in 2017, whereas the trend was reversed for mental disorders that manifest predominantly during adulthood. Although the prevalence of mental disorders with onset in childhood and adolescence decreased in India from 1990 to 2017, with a stronger decrease in high SDI and middle SDI states than in low SDI states, the prevalence of mental disorders that manifest predominantly during adulthood increased during this period.InterpretationOne in seven Indians were affected by mental disorders of varying severity in 2017. The proportional contribution of mental disorders to the total disease burden in India has almost doubled since 1990. Substantial variations exist between states in the burden from different mental disorders and in their trends over time. These state-specific trends of each mental disorder reported here could guide appropriate policies and health system response to more effectively address the burden of mental disorders in India.FundingBill & Melinda Gates Foundation; and Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.

National Burden Estimates of healthy life lost in India, 2017: an analysis using direct mortality data and indirect disability data

Many countries, including India, seek locally constructed disease burden estimates comprising mortality and loss of health to aid priority setting for the prevention and treatment of diseases. We created the National Burden Estimates (NBE) to provide transparent and understandable disease burdens at the national and subnational levels, and to identify gaps in knowledge. To calculate the NBE for India, we combined 2017 UN death totals with national and subnational mortality rates for 2010-17 and causes of death from 211 166 verbal autopsy interviews in the Indian Million Death Study for 2010-14. We calculated years of life lost (YLLs) and years lived with disability (YLDs) for 2017 using published YLD-YLL ratios from WHO Global Health Estimates. We grouped causes of death into 45 groups, including ill-defined deaths, and summed YLLs and YLDs to calculate disability-adjusted life-years (DALYs) for these causes in eight age groups covering rural and urban areas and 21 major states of India. In 2017, there were about 9·7 million deaths and 486 million DALYs in India. About three quarters of deaths and DALYs occurred in rural areas. More than a third of national DALYs arose from communicable, maternal, perinatal, and nutritional disorders. DALY rates in rural areas were at least twice those of urban areas for perinatal and nutritional conditions, chronic respiratory diseases, diarrhoea, and fever of unknown origin. DALY rates for ischaemic heart disease were greater in urban areas. Injuries caused 11·4% of DALYs nationally. The top 15 conditions that accounted for the most DALYs were mostly those causing mortality (ischaemic heart disease, perinatal conditions, chronic respiratory diseases, diarrhoea, respiratory infections, cancer, stroke, road traffic accidents, tuberculosis, and liver and alcohol-related conditions), with disability mostly due to a few conditions (nutritional deficiencies, neuropsychiatric conditions, vision and other sensory loss, musculoskeletal disorders, and genitourinary diseases). Every condition that was common in one part of India was uncommon elsewhere, suggesting state-specific priorities for disease control. The NBE method quantifies disease burden using transparent, intuitive, and reproducible methods. It provides a simple, locally operable tool to aid policy makers in priority setting in India and other low-income and middle-income countries. The NBE underlines the need for many more countries to collect nationally representative cause of death data, paired with focused surveys of disability. Ministry of Health and Family Welfare, Government of India.

How to approach ‘Fat-tax’ on food to tackle Non-communicable diseases in India: A Review

Non-communicable diseases (NCDs) contributed to an estimated 61% (5.8 million) total deaths and 55% disability-adjusted life years in India in 2015. These diseases not only affect the health status of the population, but they also have social and economic implications, such as-prolonged disability and increased health-related expenditures by health systems, households, and individuals. As per recent disease burden study in India, unhealthy diet was found to be an important risk factor for NCD related mortality. Unhealthy diets, particularly those rich in fat are associated with overweight and obesity, which are an important metabolic risk factor for NCDs. Fiscal policies, such as taxation on unhealthy (fat and sugars) and subsidies on healthy (fruits and vegetables) food itemsare key population-based interventions to reduce the consumption of calorie-dense foods and address diet-related NCDs. These policies can offer both economic and health benefits. Many high-income countries, such as Hungry (packaged products with high sugar, saturated fat, and salt), Denmark (saturated fat), Finland (sweets), France (drinks with added sugar or sweeteners) and Mexico (high calorie packaged foods) have implemented health-related food taxes. Evidence from these countries suggests taxes and subsidies are effective in reducing consumption of sugary drinks and increasing the consumptions of vegetables and fruits. However, with fat taxes, a smaller effect is observed. Therefore, prior to designing a fat tax policy for India, evidence and lessons learned from other countries’ experiences must be considered. Also, the direct and indirect impact of the tax on both consumers and the food industry should be anticipated. While planning the taxation policy on fat, consumer responsiveness to the change in the price of the products that are being considered for taxation, and food industryinterests and tactics must be considered in local context. It is recommended to first have a clearly defined objective for the tax-is it for public health or economic benefits. Next step is to define the tax type and structure, followed by selecting the products to be taxed. To offset the influence of industry and to increase public and political support, earmarking the revenue from health taxes for healthcare financing or health promotion is recommended. Lastly, to tackle NCDs in India, the fat tax must be considered as one of the policy interventions and must be accompanied by other public health interventions.

The impact of air pollution on deaths, disease burden, and life expectancy across the states of India: the Global Burden of Disease Study 2017

SummaryBackgroundAir pollution is a major planetary health risk, with India estimated to have some of the worst levels globally. To inform action at subnational levels in India, we estimated the exposure to air pollution and its impact on deaths, disease burden, and life expectancy in every state of India in 2017.MethodsWe estimated exposure to air pollution, including ambient particulate matter pollution, defined as the annual average gridded concentration of PM2.5, and household air pollution, defined as percentage of households using solid cooking fuels and the corresponding exposure to PM2.5, across the states of India using accessible data from multiple sources as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017. The states were categorised into three Socio-demographic Index (SDI) levels as calculated by GBD 2017 on the basis of lag-distributed per-capita income, mean education in people aged 15 years or older, and total fertility rate in people younger than 25 years. We estimated deaths and disability-adjusted life-years (DALYs) attributable to air pollution exposure, on the basis of exposure–response relationships from the published literature, as assessed in GBD 2017; the proportion of total global air pollution DALYs in India; and what the life expectancy would have been in each state of India if air pollution levels had been less than the minimum level causing health loss.FindingsThe annual population-weighted mean exposure to ambient particulate matter PM2·5 in India was 89·9 μg/m3 (95% uncertainty interval [UI] 67·0–112·0) in 2017. Most states, and 76·8% of the population of India, were exposed to annual population-weighted mean PM2·5 greater than 40 μg/m3, which is the limit recommended by the National Ambient Air Quality Standards in India. Delhi had the highest annual population-weighted mean PM2·5 in 2017, followed by Uttar Pradesh, Bihar, and Haryana in north India, all with mean values greater than 125 μg/m3. The proportion of population using solid fuels in India was 55·5% (54·8–56·2) in 2017, which exceeded 75% in the low SDI states of Bihar, Jharkhand, and Odisha. 1·24 million (1·09–1·39) deaths in India in 2017, which were 12·5% of the total deaths, were attributable to air pollution, including 0·67 million (0·55–0·79) from ambient particulate matter pollution and 0·48 million (0·39–0·58) from household air pollution. Of these deaths attributable to air pollution, 51·4% were in people younger than 70 years. India contributed 18·1% of the global population but had 26·2% of the global air pollution DALYs in 2017. The ambient particulate matter pollution DALY rate was highest in the north Indian states of Uttar Pradesh, Haryana, Delhi, Punjab, and Rajasthan, spread across the three SDI state groups, and the household air pollution DALY rate was highest in the low SDI states of Chhattisgarh, Rajasthan, Madhya Pradesh, and Assam in north and northeast India. We estimated that if the air pollution level in India were less than the minimum causing health loss, the average life expectancy in 2017 would have been higher by 1·7 years (1·6–1·9), with this increase exceeding 2 years in the north Indian states of Rajasthan, Uttar Pradesh, and Haryana.InterpretationIndia has disproportionately high mortality and disease burden due to air pollution. This burden is generally highest in the low SDI states of north India. Reducing the substantial avoidable deaths and disease burden from this major environmental risk is dependent on rapid deployment of effective multisectoral policies throughout India that are commensurate with the magnitude of air pollution in each state.FundingBill & Melinda Gates Foundation; and Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.

The burden of chronic respiratory diseases and their heterogeneity across the states of India: the Global Burden of Disease Study 1990-2016.

SummaryBackgroundIndia has 18% of the global population and an increasing burden of chronic respiratory diseases. However, a systematic understanding of the distribution of chronic respiratory diseases and their trends over time is not readily available for all of the states of India. Our aim was to report the trends in the burden of chronic respiratory diseases and the heterogeneity in their distribution in all states of India between 1990 and 2016.MethodsUsing all accessible data from multiple sources, we estimated the prevalence of major chronic respiratory diseases and the deaths and disability-adjusted life-years (DALYs) caused by them for every state of India from 1990 to 2016 as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016. We assessed heterogeneity in the burden of chronic obstructive pulmonary disease (COPD) and asthma across the states of India. The states were categorised into four groups based on their epidemiological transition level (ETL). ETL was defined as the ratio of DALYs from communicable diseases to those from non-communicable diseases and injuries combined, with a low ratio denoting high ETL and vice versa. We also assessed the contribution of risk factors to DALYs due to COPD. We compared the burden of chronic respiratory diseases in India against the global average in GBD 2016. We calculated 95% uncertainty intervals (UIs) for the point estimates.FindingsThe contribution of chronic respiratory diseases to the total DALYs in India increased from 4·5% (95% UI 4·0–4·9) in 1990 to 6·4% (5·8–7·0) in 2016. Of the total global DALYs due to chronic respiratory diseases in 2016, 32·0% occurred in India. COPD and asthma were responsible for 75·6% and 20·0% of the chronic respiratory disease DALYs, respectively, in India in 2016. The number of cases of COPD in India increased from 28·1 million (27·0–29·2) in 1990 to 55·3 million (53·1–57·6) in 2016, an increase in prevalence from 3·3% (3·1–3·4) to 4·2% (4·0–4·4). The age-standardised COPD prevalence and DALY rates in 2016 were highest in the less developed low ETL state group. There were 37·9 million (35·7–40·2) cases of asthma in India in 2016, with similar prevalence in the four ETL state groups, but the highest DALY rate was in the low ETL state group. The highest DALY rates for both COPD and asthma in 2016 were in the low ETL states of Rajasthan and Uttar Pradesh. The DALYs per case of COPD and asthma were 1·7 and 2·4 times higher in India than the global average in 2016, respectively; most states had higher rates compared with other locations worldwide at similar levels of Socio-demographic Index. Of the DALYs due to COPD in India in 2016, 53·7% (43·1–65·0) were attributable to air pollution, 25·4% (19·5–31·7) to tobacco use, and 16·5% (14·1–19·2) to occupational risks, making these the leading risk factors for COPD.InterpretationIndia has a disproportionately high burden of chronic respiratory diseases. The increasing contribution of these diseases to the overall disease burden across India and the high rate of health loss from them, especially in the less developed low ETL states, highlights the need for focused policy interventions to address this significant cause of disease burden in India.FundingBill & Melinda Gates Foundation; and Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.

The changing patterns of cardiovascular diseases and their risk factors in the states of India: the Global Burden of Disease Study 1990-2016.

SummaryBackgroundThe burden of cardiovascular diseases is increasing in India, but a systematic understanding of its distribution and time trends across all the states is not readily available. In this report, we present a detailed analysis of how the patterns of cardiovascular diseases and major risk factors have changed across the states of India between 1990 and 2016.MethodsWe analysed the prevalence and disability-adjusted life-years (DALYs) due to cardiovascular diseases and the major component causes in the states of India from 1990 to 2016, using all accessible data sources as part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2016. We placed states into four groups based on epidemiological transition level (ETL), defined using the ratio of DALYs from communicable diseases to those from non-communicable diseases and injuries combined, with a low ratio denoting high ETL and vice versa. We assessed heterogeneity in the burden of major cardiovascular diseases across the states of India, and the contribution of risk factors to cardiovascular diseases. We calculated 95% uncertainty intervals (UIs) for the point estimates.FindingsOverall, cardiovascular diseases contributed 28·1% (95% UI 26·5–29·1) of the total deaths and 14·1% (12·9–15·3) of the total DALYs in India in 2016, compared with 15·2% (13·7–16·2) and 6·9% (6·3–7·4), respectively, in 1990. In 2016, there was a nine times difference between states in the DALY rate for ischaemic heart disease, a six times difference for stroke, and a four times difference for rheumatic heart disease. 23·8 million (95% UI 22·6–25·0) prevalent cases of ischaemic heart disease were estimated in India in 2016, and 6·5 million (6·3–6·8) prevalent cases of stroke, a 2·3 times increase in both disorders from 1990. The age-standardised prevalence of both ischaemic heart disease and stroke increased in all ETL state groups between 1990 and 2016, whereas that of rheumatic heart disease decreased; the increase for ischaemic heart disease was highest in the low ETL state group. 53·4% (95% UI 52·6–54·6) of crude deaths due to cardiovascular diseases in India in 2016 were among people younger than 70 years, with a higher proportion in the low ETL state group. The leading overlapping risk factors for cardiovascular diseases in 2016 included dietary risks (56·4% [95% CI 48·5–63·9] of cardiovascular disease DALYs), high systolic blood pressure (54·6% [49·0–59·8]), air pollution (31·1% [29·0–33·4]), high total cholesterol (29·4% [24·3–34·8]), tobacco use (18·9% [16·6–21·3]), high fasting plasma glucose (16·7% [11·4–23·5]), and high body-mass index (14·7% [8·3–22·0]). The prevalence of high systolic blood pressure, high total cholesterol, and high fasting plasma glucose increased generally across all ETL state groups from 1990 to 2016, but this increase was variable across the states; the prevalence of smoking decreased during this period in all ETL state groups.InterpretationThe burden from the leading cardiovascular diseases in India—ischaemic heart disease and stroke—varies widely between the states. Their increasing prevalence and that of several major risk factors in every part of India, especially the highest increase in the prevalence of ischaemic heart disease in the less developed low ETL states, indicates the need for urgent policy and health system response appropriate for the situation in each state.FundingBill & Melinda Gates Foundation; and Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.

The burden of cancers and their variations across the states of India: the Global Burden of Disease Study 1990-2016.

SummaryBackgroundPrevious efforts to report estimates of cancer incidence and mortality in India and its different parts include the National Cancer Registry Programme Reports, Sample Registration System cause of death findings, Cancer Incidence in Five Continents Series, and GLOBOCAN. We present a comprehensive picture of the patterns and time trends of the burden of total cancer and specific cancer types in each state of India estimated as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 because such a systematic compilation is not readily available.MethodsWe used all accessible data from multiple sources, including 42 population-based cancer registries and the nationwide Sample Registration System of India, to estimate the incidence of 28 types of cancer in every state of India from 1990 to 2016 and the deaths and disability-adjusted life-years (DALYs) caused by them, as part of GBD 2016. We present incidence, DALYs, and death rates for all cancers together, and the trends of all types of cancers, highlighting the heterogeneity in the burden of specific types of cancers across the states of India. We also present the contribution of major risk factors to cancer DALYs in India.Findings8·3% (95% uncertainty interval [UI] 7·9–8·6) of the total deaths and 5·0% (4·6–5·5) of the total DALYs in India in 2016 were due to cancer, which was double the contribution of cancer in 1990. However, the age-standardised incidence rate of cancer did not change substantially during this period. The age-standardised cancer DALY rate had a 2·6 times variation across the states of India in 2016. The ten cancers responsible for the highest proportion of cancer DALYs in India in 2016 were stomach (9·0% of the total cancer DALYs), breast (8·2%), lung (7·5%), lip and oral cavity (7·2%), pharynx other than nasopharynx (6·8%), colon and rectum (5·8%), leukaemia (5·2%), cervical (5·2%), oesophageal (4·3%), and brain and nervous system (3·5%) cancer. Among these cancers, the age-standardised incidence rate of breast cancer increased significantly by 40·7% (95% UI 7·0–85·6) from 1990 to 2016, whereas it decreased for stomach (39·7%; 34·3–44·0), lip and oral cavity (6·4%; 0·4–18·6), cervical (39·7%; 26·5–57·3), and oesophageal cancer (31·2%; 27·9–34·9), and leukaemia (16·1%; 4·3–24·2). We found substantial inter-state heterogeneity in the age-standardised incidence rate of the different types of cancers in 2016, with a 3·3 times to 11·6 times variation for the four most frequent cancers (lip and oral, breast, lung, and stomach). Tobacco use was the leading risk factor for cancers in India to which the highest proportion (10·9%) of cancer DALYs could be attributed in 2016.InterpretationThe substantial heterogeneity in the state-level incidence rate and health loss trends of the different types of cancer in India over this 26-year period should be taken into account to strengthen infrastructure and human resources for cancer prevention and control at both the national and state levels. These efforts should focus on the ten cancers contributing the highest DALYs in India, including cancers of the stomach, lung, pharynx other than nasopharynx, colon and rectum, leukaemia, oesophageal, and brain and nervous system, in addition to breast, lip and oral cavity, and cervical cancer, which are currently the focus of screening and early detection programmes.FundingBill & Melinda Gates Foundation; and Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India.

Determinants of smokeless tobacco use in India.

Non-communicable diseases (NCDs) contributes to more than 50 per cent disability adjusted life years (DALYs) in India; and tobacco contributes to 7·4 per cent of DALYs which is next to diet and high blood pressure. According to Global Burden of Disease (GBD) 2015, tobacco use contributed to 5.9 per cent out of total DALYs in India. Smokeless tobacco (SLT) consumption is a multifactorial process influenced by varied range of contextual factors i.e., social, environmental, psychological and the genetic factors which are linked to the tobacco use. The determinants associated with the SLT use are gender, educational level, wealth index (inverse association), urban-rural residence, socio-economic status and low tax. Taking the view from tobacco control programmes, there is a need to address determinants of SLT use with State level monitoring and socio-economic inequalities, progress and review of the taxation of the SLT use in India.

Four new vaccines for routine immunization in India: what about hemophilus influenza B and pneumococcal vaccine?

Immunization is the process whereby a person is made immune or resistant to an infectious disease, typically by the administration of a vaccine. The Expanded Program on Immunization (EPI) was flagged off in India in 1978. According to the recommendation of National technical advisory group of India (NATGI), Government of India is going to include four new vaccines in the UIP for whole India. The four new vaccines are Inactivated Poliomyelitis Vaccine (IPV) for polio, rota viral vaccine, vaccine against rubella, and Japanese encephalitis vaccine (179 districts in India). Here, authors have tried to show a comparative descriptive analysis of the hemophilus influenza and pneumococcal pneumonia with rota virus, so that in near future Government of India can also consider their inclusion in the national UIP. In India, 39.2% of all diarrheal death are due to rota virus, whereas 0.72 million deaths are due to hemophilus influenza B and 1.3 million are due to pneumococcal pneumonia in <5 years age-group. India's indigenous developed rota viral vaccine's (Rotavac) efficacy is 56% in 1st year compared to H influenza B (Hib) efficacy 95% and PCV13 vaccine “3 + 1” dose efficacy 100% (South Africa). Rotarix incremental cost-effectiveness ratio is US $21.4 to US $34 per disability-adjusted life years (DALYs) compared to Hib US $ 819 per DALYs in India. In case of pneumococcal vaccine, India needs more trails on the serotype specificity, efficacy, and cost-effectiveness but there is enough evidence that hemophilus influenza burden is high in India and the present Hib vaccine is safe and highly effective. In future with the help of donor agencies, India should include the hemophilus influenza B and pneumococcal pneumonia vaccine in national UIP which will save millions of poor children's life.

Zinc Fertilization of Cereals for Increased Production and Alleviation of Zinc Malnutrition in India

Zinc deficiency has emerged as the fourth important micronutrient deficiency in humans. Zn deficiency is responsible for diarrhoea in infants, dwarfism in adolescents and loss of disability adjusted life years (DALYs) in adults. The loss of DALYs in India is estimated at 2.8 million. Since cereals are staple food in India and other Asian countries, fortification of their grains with Zn is a simple way to overcome Zn deficiency in humans in these areas. Efforts are underway to breed cereal cultivars with grains higher in zinc, but this requires considerable time. Fertilization of cereals with Zn is a faster, quicker and certain way to increase zinc content in cereals and this practice needs to be put in place without any delay.