Please use this identifier to cite or link to this item:
https://dora.health.qld.gov.au/qldresearchjspui/handle/1/2316
Title: | Clinical relevance and validity of tools to predict infant, childhood and adulthood obesity: a systematic review | Authors: | Wright, Olivia R. L. Walker, Jacqueline L. Littlewood, Robyn Canfell, Oliver J. |
Issue Date: | 2018 | Source: | 21, (17), 2018, p. 3135-3147 | Pages: | 3135-3147 | Journal: | Public Health Nutrition | Abstract: | 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/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.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.research. Journal Subset: Allied Health; Biomedical; Blind Peer Reviewed; Double Blind Peer Reviewed; Europe; Expert Peer Reviewed; Peer Reviewed; Public Health; UK & Ireland. Instrumentation: Medical Research Council (MRC) Scale. NLM UID: 9808463.PMID: NLM29996950. | DOI: | 10.1017/S1368980018001684 | Resources: | https://search.ebscohost.com/login.aspx?direct=true&AuthType=ip,athens&db=ccm&AN=133251571&site=ehost-live | Keywords: | Risk Factors;Human;Validation Studies;Comparative Studies;Evaluation Research;Multicenter Studies;Adolescence;Child;Anthropometry;Body Mass Index;Scales;Pediatric Obesity;Adult;World Health;Reproducibility of Results;Infant;Obesity -- EtiologyRisk Assessment -- Methods | Type: | Article |
Appears in Sites: | Children's Health Queensland Publications |
Show full item record
Items in DORA are protected by copyright, with all rights reserved, unless otherwise indicated.