Centre for Research on Ageing, Health and Wellbeing, Research School of Population Health, Australian National University, Canberra 0200, Australia.
Nutrients. 2018 Dec 24;11(1):38. doi: 10.3390/nu11010038.
Manual review of the extensive literature covering nutrition-based lifestyle interventions to promote healthy cognitive ageing has proved educational, however, data-driven techniques can better account for the large size of the literature (tens of thousands of potentially relevant publications to date) and interdisciplinary nature, where relevant publications may be found. In this study, we present a new way to map the literature landscape, focusing on nutrition-based lifestyle interventions to promote healthy cognitive ageing. We applied a combination of citation network analysis and text mining to map out the existing literature on nutritional interventions and cognitive health. Results indicated five overarching clusters of publications, which could be further deconstructed into a total of 35 clusters. These could be broadly distinguished by the focus on lifespan stages (e.g., infancy versus older age), and specificity regarding nutrition (e.g., a narrow focus on iodine deficiency versus a broad focus on weight gain). Rather than concentrating into a single cluster, interventions were present throughout the majority of the research. We conclude that a data-driven map of the nutritional intervention literature can benefit the design of future interventions, by highlighting topics and themes that could be synthesized across currently disconnected clusters of publications.
对涵盖基于营养的生活方式干预以促进健康认知老化的大量文献进行手动审查，证明是具有教育意义的，然而，数据驱动的技术可以更好地解释文献的庞大规模（迄今为止已有成千上万篇潜在相关的出版物）和跨学科性质，相关出版物可能会在其中找到。在这项研究中，我们提出了一种新的方法来绘制文献景观，重点关注基于营养的生活方式干预以促进健康认知老化。我们应用引文网络分析和文本挖掘的组合来绘制关于营养干预和认知健康的现有文献图谱。结果表明，存在五个总体的出版物集群，可以进一步细分为总共 35 个集群。这些集群可以根据关注的生命阶段（例如，婴儿期与老年期）和营养的特异性（例如，对碘缺乏的狭隘关注与对体重增加的广泛关注）进行区分。干预措施并没有集中在一个单一的集群中，而是存在于大多数研究中。我们得出结论，通过突出目前孤立的出版物集群之间可以综合的主题和主题，基于营养的干预文献的这种数据驱动图谱可以有益于未来干预措施的设计。
