Ward Joseph L, Viner Russell M
UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
BMC Public Health. 2017 May 11;17(1):429. doi: 10.1186/s12889-017-4310-z.
Income inequality and national wealth are strong determinants for health, but few studies have systematically investigated their influence on mortality across the early life-course, particularly outside the high-income world.
We performed cross-sectional regression analyses of the relationship between income inequality (national Gini coefficient) and national wealth (Gross Domestic Product (GDP) averaged over previous decade), and all-cause and grouped cause national mortality rate amongst infants, 1-4, 5-9, 10-14, 15-19 and 20-24 year olds in low and middle-income countries (LMIC) in 2012. Gini models were adjusted for GDP.
Data were available for 103 (79%) countries. Gini was positively associated with increased all-cause and communicable disease mortality in both sexes across all age groups, after adjusting for national wealth. Gini was only positively associated with increased injury mortality amongst infants and 20-24 year olds, and increased non-communicable disease mortality amongst 20-24 year old females. The strength of these associations tended to increase during adolescence. Increasing GDP was negatively associated with all-cause, communicable and non-communicable disease mortality in males and females across all age groups. GDP was also associated with decreased injury mortality in all age groups except 15-19 year old females, and 15-24 year old males. GDP became a weaker predictor of mortality during adolescence.
Policies to reduce income inequality, rather than prioritising economic growth at all costs, may be needed to improve adolescent mortality in low and middle-income countries, a key development priority.
收入不平等和国家财富是健康的重要决定因素,但很少有研究系统地调查它们在生命早期阶段对死亡率的影响,尤其是在高收入国家以外的地区。
我们对收入不平等(国家基尼系数)与国家财富(过去十年平均国内生产总值(GDP))之间的关系,以及2012年低收入和中等收入国家(LMIC)中婴儿、1-4岁、5-9岁、10-14岁、15-19岁和20-24岁人群的全因死亡率和分组死因国家死亡率进行了横断面回归分析。基尼模型对GDP进行了调整。
有103个(79%)国家的数据可用。在调整国家财富后,基尼系数与所有年龄组男女的全因死亡率和传染病死亡率增加呈正相关。基尼系数仅与婴儿和20-24岁人群的伤害死亡率增加以及20-24岁女性的非传染病死亡率增加呈正相关。这些关联的强度在青春期往往会增加。GDP增长与所有年龄组男女的全因、传染病和非传染病死亡率呈负相关。GDP还与除15-19岁女性和15-24岁男性外的所有年龄组的伤害死亡率降低有关。在青春期,GDP作为死亡率预测指标的作用减弱。
可能需要采取政策来减少收入不平等,而不是不惜一切代价优先促进经济增长,以改善低收入和中等收入国家青少年的死亡率,这是一个关键的发展优先事项。