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      Waist-circumference-to-height-ratio had better longitudinal agreement with DEXA-measured fat mass than BMI in 7237 children

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      1 , 2 ,
      Pediatric Research
      Nature Publishing Group US

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          Abstract

          Background

          The absolute agreement of surrogate measures of adiposity with dual-energy X-ray absorptiometry (DEXA)-measured body composition was examined.

          Methods

          Over a 15-year follow-up, 7237 (3667 females) nine-year-old children from the Avon Longitudinal Study of Parents and Children (ALSPAC) UK birth cohort were included. Total fat mass (FM) and trunk FM were serially measured with DEXA at ages 9, 11, 15, 17, and 24 years. BMI and waist circumference-to-height ratio (WHtR) were computed. Pearson’s correlations, intraclass correlations (ICC), and area under curve (AUC) analyses were conducted.

          Results

          Over 15 years, BMI, total FM, and trunk FM, increased but WHtR was relatively stable. WHtR provided a better longitudinal absolute agreement [males ICC 0.84 (95% CI 0.84–0.85); females 0.81 (0.80–0.82)] than BMI [(males (0.65 (0.64–0.66); females 0.72 (0.71–0.73)] with total FM as well as trunk FM from ages 9–24 years. WHtR cut-point for predicting excess total FM (75th–95th percentile) was 0.50–0.53 in males [AUC 0.86–0.94, sensitivity 0.51–0.79 and specificity 0.93–0.95]. WHtR cut-point for predicting excess total FM (75th–95th percentile) was 0.52–0.54 in females [AUC 0.83–0.95, sensitivity 0.38–0.68 and specificity 0.92–0.95]. Results were similar with trunk FM.

          Conclusion

          WHtR is an inexpensive alternative to BMI for predicting FM in pediatrics.

          Impact

          • Waist circumference-to-height ratio (WHtR) is a better adiposity surrogate measure than body mass index (BMI) in predicting fat mass and discriminating lean mass from childhood through young adulthood.

          • BMI has been used as an inexpensive surrogate measure of adiposity in children for several decades. However, emerging findings suggest that BMI fails to discriminate between fat mass adiposity and lean mass.

          • This is the first-ever longitudinal study in over 7000 children followed up for 15 years that identified WHtR as an inexpensive accurate measure that discriminates fat mass from lean mass that could replace BMI measure of obesity in pediatrics.

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          Most cited references48

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach

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              Cohort Profile: The ‘Children of the 90s’—the index offspring of the Avon Longitudinal Study of Parents and Children

              The Avon Longitudinal Study of Parents and Children (ALSPAC) is a transgenerational prospective observational study investigating influences on health and development across the life course. It considers multiple genetic, epigenetic, biological, psychological, social and other environmental exposures in relation to a similarly diverse range of health, social and developmental outcomes. Recruitment sought to enrol pregnant women in the Bristol area of the UK during 1990–92; this was extended to include additional children eligible using the original enrolment definition up to the age of 18 years. The children from 14 541 pregnancies were recruited in 1990–92, increasing to 15 247 pregnancies by the age of 18 years. This cohort profile describes the index children of these pregnancies. Follow-up includes 59 questionnaires (4 weeks–18 years of age) and 9 clinical assessment visits (7–17 years of age). The resource comprises a wide range of phenotypic and environmental measures in addition to biological samples, genetic (DNA on 11 343 children, genome-wide data on 8365 children, complete genome sequencing on 2000 children) and epigenetic (methylation sampling on 1000 children) information and linkage to health and administrative records. Data access is described in this article and is currently set up as a supported access resource. To date, over 700 peer-reviewed articles have been published using ALSPAC data.
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                Author and article information

                Contributors
                andrew.agbaje@uef.fi
                Journal
                Pediatr Res
                Pediatr Res
                Pediatric Research
                Nature Publishing Group US (New York )
                0031-3998
                1530-0447
                5 March 2024
                5 March 2024
                2024
                : 96
                : 5
                : 1369-1380
                Affiliations
                [1 ]Institute of Public Health and Clinical Nutrition, School of Medicine, Faculty of Health Sciences, University of Eastern Finland, ( https://ror.org/00cyydd11) Kuopio, Finland
                [2 ]Children’s Health and Exercise Research Centre, Department of Public Health and Sports Sciences, Faculty of Health and Life Sciences, University of Exeter, ( https://ror.org/03yghzc09) Exeter, UK
                Author information
                http://orcid.org/0000-0001-5138-3441
                Article
                3112
                10.1038/s41390-024-03112-8
                11522001
                38443520
                564a9ab2-8d66-4d4d-bdb0-fe6ff949ff22
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 30 August 2023
                : 25 January 2024
                : 15 February 2024
                Categories
                Population Study Article
                Custom metadata
                © International Pediatric Research Foundation, Inc 2024

                Pediatrics
                Pediatrics

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