1School of Human Movement and Nutrition Sciences, Faculty of Health and Behavioural Sciences,The University of Queensland,Brisbane,QLD4072,Australia.
Public Health Nutr. 2018 Dec;21(17):3135-3147. doi: 10.1017/S1368980018001684. Epub 2018 Jul 12.
To determine the global availability of a multicomponent tool predicting overweight/obesity in infancy, childhood, adolescence or adulthood; and to compare their predictive validity and clinical relevance.Design/SettingThe PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed. The databases PubMed, EMBASE, CINAHL, Web of Science and PsycINFO were searched. Additional articles were identified via reference lists of included articles. Risk of bias was assessed using the Academy of Nutrition and Dietetics' Quality Criteria Checklist. The National Health and Medical Research Council's Levels of Evidence hierarchy was used to assess quality of evidence. Predictive performance was evaluated using the ABCD framework.
Eligible studies: tool could be administered at any life stage; quantified the risk of overweight/obesity onset; used more than one predictor variable; and reported appropriate prediction statistical outcomes.
Of the initial 4490 articles identified, twelve articles (describing twelve tools) were included. Most tools aimed to predict overweight and/or obesity within childhood (age 2-12 years). Predictive accuracy of tools was consistently adequate; however, the predictive validity of most tools was questioned secondary to poor methodology and statistical reporting. Globally, five tools were developed for dissemination into clinical practice, but no tools were tested within a clinical setting.
To our knowledge, a clinically relevant and highly predictive overweight/obesity prediction tool is yet to be developed. Clinicians can, however, act now to identify the strongest predictors of future overweight/obesity. Further research is necessary to optimise the predictive strength and clinical applicability of such a tool.
确定用于预测婴儿期、儿童期、青春期或成年期超重/肥胖的多成分工具的全球可获得性;并比较其预测准确性和临床相关性。
设计/设置:遵循 PRISMA(系统评价和荟萃分析的首选报告项目)指南。检索了 PubMed、EMBASE、CINAHL、Web of Science 和 PsycINFO 数据库。通过纳入文章的参考文献列表确定了其他文章。使用营养与饮食学会的质量标准检查表评估偏倚风险。使用国家卫生和医学研究委员会的证据层次结构评估证据质量。使用 ABCD 框架评估预测性能。
合格的研究:工具可在任何生命阶段使用;量化超重/肥胖发病的风险;使用多个预测变量;并报告适当的预测统计结果。
最初确定的 4490 篇文章中,有 12 篇文章(描述了 12 种工具)被纳入。大多数工具旨在预测儿童期(2-12 岁)的超重和/或肥胖。工具的预测准确性始终足够;然而,由于方法学和统计报告不佳,大多数工具的预测有效性受到质疑。从全球范围来看,有五个工具是为在临床实践中传播而开发的,但没有工具在临床环境中进行测试。
据我们所知,尚未开发出具有临床相关性和高度预测性的超重/肥胖预测工具。然而,临床医生现在可以采取行动,确定未来超重/肥胖的最强预测因素。需要进一步的研究来优化此类工具的预测强度和临床适用性。