Thomas Duncan, Frankenberg Elizabeth
Department of Economics, UCLA, Los Angeles, CA 90095-1477, USA.
Bull World Health Organ. 2002;80(2):106-13.
A positive correlation between health and economic prosperity has been widely documented, but the extent to which this reflects a causal effect of health on economic outcomes is very controversial. Two classes of evidence are examined. First, carefully designed random assignment studies in the laboratory and field provide compelling evidence that nutritional deficiency - particularly iron deficiency - reduces work capacity and, in some cases, work output. Confidence in these results is bolstered by a good understanding of the underlying biological mechanisms. Some random assignment studies indicate an improved yield from health services in the labour market. Second, observational studies suggest that general markers of nutritional status, such as height and body mass index (BMI), are significant predictors of economic success although their interpretation is confounded by the fact that they reflect influences from early childhood and family background. Energy intake and possibly the quality of the diet have also been found to be predictive of economic success in observational studies. However, the identification of causal pathways in these studies is difficult and involves statistical assumptions about unobserved heterogeneity that are difficult to test. Illustrations using survey data demonstrate the practical importance of this concern. Furthermore, failure to take into account the dynamic interplay between changes in health and economic status has led to limited progress being reported in the literature. A broadening of random assignment studies to measure the effects of an intervention on economic prosperity, investment in population-based longitudinal socioeconomic surveys, and application of emerging technologies for a better measure of health in these surveys will yield very high returns in improving our understanding of how health influences economic prosperity.
健康与经济繁荣之间的正相关关系已有大量文献记载,但这在多大程度上反映了健康对经济成果的因果效应,却极具争议。本文考察了两类证据。首先,精心设计的实验室和实地随机分配研究提供了有力证据,表明营养缺乏——尤其是缺铁——会降低工作能力,在某些情况下还会降低工作产出。对潜在生物学机制的深入理解增强了人们对这些结果的信心。一些随机分配研究表明,劳动力市场上的健康服务产出有所提高。其次,观察性研究表明,营养状况的一般指标,如身高和体重指数(BMI),是经济成功的重要预测因素,尽管对它们的解读因它们反映了幼儿期和家庭背景的影响这一事实而变得复杂。在观察性研究中还发现,能量摄入以及可能的饮食质量也能预测经济成功。然而,在这些研究中确定因果路径很困难,并且涉及关于未观察到的异质性的统计假设,而这些假设很难检验。利用调查数据进行的说明展示了这一问题的实际重要性。此外,未能考虑健康变化与经济状况之间的动态相互作用,导致文献中报道的进展有限。扩大随机分配研究以衡量干预措施对经济繁荣的影响、投资基于人群的纵向社会经济调查,以及应用新兴技术在这些调查中更好地衡量健康状况,将在提高我们对健康如何影响经济繁荣的理解方面产生非常高的回报。