Centre for Rural Health, University of KwaZulu-Natal, Durban, South Africa.
Global Health and Development Department, London School of Hygiene and Tropical Medicine, London, United Kingdom.
PLoS One. 2019 Dec 26;14(12):e0226241. doi: 10.1371/journal.pone.0226241. eCollection 2019.
A link between adversity, including low socio-economic status, and behaviours which carry health risks, such as alcohol consumption, has often been observed. The causes of this link are, however, poorly understood, making it difficult to explain why the association is often not linear and why there is so much variability between groups and individuals facing similar adversity. We investigate the use of the concept of emergent properties in explaining the link and its non-linear nature. `Emergent properties' arise from the interaction of factors or items in a high-level system which, as a result, has qualities possessed by none of the individual factors. We apply a mixed methods approach to examine the association of an example emergent property, hope, and alcohol consumption among adolescents in a rural South African site. We found that among adolescents living in similar contexts, there was enough variance in reported levels of hope, that an association with alcohol use could be identified. This result is cause for optimism regarding the potential use of emergent properties in explaining variations in risk behaviour. Improving our measurement of emergent properties is perhaps the biggest challenge facing this approach. More work is needed to take further the task of identifying emergent properties capable of distilling the influence of lower level variables into single measures useful for analysis and policy purposes.
逆境(包括社会经济地位低下)与某些行为之间存在关联,这些行为会带来健康风险,例如饮酒。人们经常观察到这种关联。然而,这种关联的原因还不太清楚,这使得很难解释为什么这种关联并不总是线性的,以及为什么在面临类似逆境的群体和个体之间存在如此大的差异。我们研究了使用涌现属性的概念来解释这种关联及其非线性性质。涌现属性是由高一级系统中的因素或项目相互作用产生的,因此,这些属性不存在于任何单个因素中。我们采用混合方法来检验在南非农村一个地点的青少年中,希望这一示例涌现属性与饮酒之间的关联。我们发现,在生活在类似环境中的青少年中,报告的希望水平存在足够的差异,因此可以确定与饮酒的关联。这一结果表明,涌现属性在解释风险行为的变化方面具有潜在的应用前景,这是令人乐观的。改进涌现属性的测量可能是这种方法面临的最大挑战。需要进一步努力,确定能够将较低层次变量的影响提炼为单一衡量标准的涌现属性,这些标准可用于分析和政策目的。