Clinical relevance and validity of tools to predict infant, childhood and adulthood obesity: a systematic review

被引:5
作者
Canfell, Oliver J. [1 ,2 ]
Littlewood, Robyn [1 ,2 ,3 ]
Wright, Olivia R. L. [1 ]
Walker, Jacqueline L. [1 ]
机构
[1] Univ Queensland, Fac Hlth & Behav Sci, Sch Human Movement & Nutr Sci, Brisbane, Qld 4072, Australia
[2] Childrens Hlth Queensland Hosp & Hlth Serv, Lady Cilento Childrens Hosp, Brisbane, Qld, Australia
[3] Off Strategy Management, Clin Excellence Div, Queensland Child & Youth Clin Network, Brisbane, Qld, Australia
关键词
Overweight; Obesity; Clinical; Prevention; Prediction tool; BODY-MASS INDEX; EARLY-LIFE; WEIGHT-GAIN; RISK; OVERWEIGHT; ADOLESCENCE; ASSOCIATION; CHILDREN; BMI; MORBIDITY;
D O I
10.1017/S1368980018001684
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objective: 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/Setting: The 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. Subjects: 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. Results: 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. Conclusions: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.
引用
收藏
页码:3135 / 3147
页数:13
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