Murray C J, Lopez A D
Harvard School of Public Health, Boston, Massachusetts, USA.
Lancet. 1997 May 24;349(9064):1498-504. doi: 10.1016/S0140-6736(96)07492-2.
Plausible projections of future mortality and disability are a useful aid in decisions on priorities for health research, capital investment, and training. Rates and patterns of ill health are determined by factors such as socioeconomic development, educational attainment, technological developments, and their dispersion among populations, as well as exposure to hazards such as tobacco. As part of the Global Burden of Disease Study (GBD), we developed three scenarios of future mortality and disability for different age-sex groups, causes, and regions.
We used the most important disease and injury trends since 1950 in nine cause-of-death clusters. Regression equations for mortality rates for each cluster by region were developed from gross domestic product per person (in international dollars), average number of years of education, time (in years, as a surrogate for technological change), and smoking intensity, which shows the cumulative effects based on data for 47 countries in 1950-90. Optimistic, pessimistic, and baseline projections of the independent variables were made. We related mortality from detailed causes to mortality from a cause cluster to project more detailed causes. Based on projected numbers of deaths by cause, years of life lived with disability (YLDs) were projected from different relation models of YLDs to years of life lost (YLLs). Population projections were prepared from World Bank projections of fertility and the projected mortality rates.
Life expectancy at birth for women was projected to increase in all three scenarios; in established market economies to about 90 years by 2020. Far smaller gains in male life expectancy were projected than in females; in formerly socialist economies of Europe, male life expectancy may not increase at all. Worldwide mortality from communicable maternal, perinatal, and nutritional disorders was expected to decline in the baseline scenario from 17.2 million deaths in 1990 to 10.3 million in 2020. We projected that non-communicable disease mortality will increase from 28.1 million deaths in 1990 to 49.7 million in 2020. Deaths from injury may increase from 5.1 million to 8.4 million. Leading causes of disability-adjusted life years (DALYs) predicted by the baseline model were (in descending order): ischaemic heart disease, unipolar major depression, road-traffic accidents, cerebrovascular disease, chronic obstructive pulmonary disease, lower respiratory infections, tuberculosis, war injuries, diarrhoeal diseases, and HIV. Tobacco-attributable mortality is projected to increase from 3.0 million deaths in 1990 to 8.4 million deaths in 2020.
Health trends in the next 25 years will be determined mainly by the ageing of the world's population, the decline in age-specific mortality rates from communicable, maternal, perinatal, and nutritional disorders, the spread of HIV, and the increase in tobacco-related mortality and disability. Projections, by their nature, are highly uncertain, but we found some robust results with implications for health policy.
对未来死亡率和残疾情况进行合理预测,有助于在确定卫生研究、资本投资及培训的优先事项时提供有益参考。健康状况的发生率和模式取决于多种因素,如社会经济发展、教育程度、技术发展及其在人群中的传播情况,以及接触烟草等危险因素。作为全球疾病负担研究(GBD)的一部分,我们针对不同年龄性别组、病因及地区,制定了三种未来死亡率和残疾情况的预测方案。
我们采用了自1950年以来九个死因类别中最重要的疾病和损伤趋势。根据人均国内生产总值(以国际美元计)、平均受教育年限、时间(以年计,作为技术变革的替代指标)以及吸烟强度,建立了各地区每个死因类别死亡率的回归方程,吸烟强度体现了基于1950 - 1990年47个国家数据的累积效应。对自变量进行了乐观、悲观和基线预测。我们将详细病因导致的死亡率与病因类别导致的死亡率相关联,以预测更详细的病因。根据按病因预测的死亡人数,通过伤残调整生命年(YLD)与生命损失年(YLL)的不同关系模型,预测了伤残调整生命年。根据世界银行对生育率的预测和预测的死亡率,编制了人口预测。
在所有三种预测方案中,预计出生时女性预期寿命均会增加;在发达市场经济体,到2020年预计将增至约90岁。预计男性预期寿命的增长幅度远小于女性;在欧洲原社会主义经济体中,男性预期寿命可能根本不会增加。在基线预测方案中,预计全球因传染病、孕产妇、围产期和营养性疾病导致的死亡率将从1990年的1720万例死亡降至2020年的1030万例。我们预测,非传染性疾病死亡率将从1990年的2810万例死亡增至2020年的4970万例。因伤死亡人数可能从510万增至840万。基线模型预测的导致伤残调整生命年(DALY)的主要原因(按降序排列)为:缺血性心脏病、单相重度抑郁症、道路交通事故、脑血管疾病、慢性阻塞性肺疾病、下呼吸道感染、结核病、战争损伤、腹泻病和艾滋病毒。预计烟草所致死亡率将从1990年的300万例死亡增至2020年的840万例。
未来25年的健康趋势将主要由世界人口老龄化、传染病、孕产妇、围产期和营养性疾病特定年龄死亡率的下降、艾滋病毒的传播以及烟草相关死亡率和残疾率的上升所决定。预测本身具有高度不确定性,但我们发现了一些对卫生政策有影响的可靠结果。