Lancet. 2017 Dec 2;390(10111):2437-2460. doi: 10.1016/S0140-6736(17)32804-0. Epub 2017 Nov 14.
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.
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.
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.
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.
Bill & Melinda Gates Foundation; Indian Council of Medical Research, Department of Health Research, Ministry of Health and Family Welfare, Government of India; and World Bank.
世界上有 18%的人口生活在印度,印度的许多邦的人口与一些大国相当。为了有效改善印度的人口健康,需要有可靠和全面的州级疾病负担和风险因素的估计数据,这些数据需要随着时间的推移而不断更新。到目前为止,还没有针对所有主要疾病和风险因素进行这种全面的估计。因此,我们旨在通过全球疾病负担(GBD)研究 2016 项目,对印度每个邦的疾病负担和风险因素进行估计。
利用所有可用的数据源,印度邦级疾病负担倡议使用指标(包括死亡、残疾调整生命年、患病率、发病率和预期寿命),对印度 333 种疾病状况和伤害以及 84 种风险因素进行了估计,这些数据来自印度从 1990 年到 2016 年的各个邦。我们根据 2016 年传染性疾病、孕产妇、新生儿和营养相关疾病(CMNNDs)与非传染性疾病(NCDs)和伤害的残疾调整生命年(DALY)比值,将印度的邦分为四个流行病学过渡水平(ETL)组。我们评估了 ETL 州组之间以及各州之间的疾病负担和风险因素的变化,以便为各州和印度整体提供更具体的卫生系统应对措施。
印度 2003 年 NCDs 和伤害导致的 DALY 超过了 CMNNDs,但四个 ETL 州组的这种转变范围为 24 年。从 1990 年到 2016 年,印度的年龄标准化 DALY 率下降了 36.2%。在所有 ETL 组中,1990 年至 2016 年间,CMNNDs 的 DALY 数量和 DALY 率都大幅下降,但在低 ETL 州组中,CMNNDs 的减少速度最慢。相比之下,NCDs 的 DALY 数量在所有 ETL 州组中都大幅增加,除了最高的 ETL 州组外,所有 ETL 州组的伤害 DALY 数量也显著增加。在印度,所有年龄段的大多数主要 NCD 患病率从 1990 年到 2016 年都有大幅增加,而年龄标准化 NCD DALY 率略有下降。NCD 的主要风险因素,包括收缩压升高、空腹血糖升高、总胆固醇升高和身体质量指数升高,从 1990 年到 2016 年有所增加,且在较高 ETL 州中水平更高;环境空气污染也有所增加,且在低 ETL 组中最高。伤害的主要原因的发病率也从 1990 年到 2016 年有所增加。2016 年印度排名前五的 DALY 原因是缺血性心脏病、慢性阻塞性肺疾病、腹泻病、下呼吸道感染和脑血管疾病;2016 年排名前五的 DALY 风险因素是儿童和孕产妇营养不良、空气污染、饮食风险、收缩压升高和空腹血糖升高。在这些广泛的趋势背后,ETL 州组之间以及州内之间存在许多差异。2016 年印度十大疾病负担原因中,有五个原因的单一原因 DALY 率在各州之间存在至少五倍的差异。
以 DALY 率衡量的人均疾病负担在过去 26 年中下降了约三分之一。然而,疾病负担和风险因素的规模和原因在各州之间存在很大差异。四个 ETL 州组中,NCDs 和伤害对 CMNNDs 的主导地位的转变发生在大约四分之一世纪的时间里。然而,一些主要的 CMNNDs 的负担仍然非常高,尤其是在最低 ETL 的邦。对印度各州疾病负担及其原因的这种不平等情况的全面描绘,可以为印度总理智库国家转型研究所和国家卫生政策 2017 设想的每个州更具体的卫生规划提供关键投入。
比尔和梅琳达·盖茨基金会;印度医学研究理事会,印度卫生部和家庭福利部,印度政府;世界银行。