| Title: |
External validation of a prediction model for estimating fat mass in children and adolescents in 19 countries: individual participant data meta-analysis |
| Authors: |
Hudda, MT; Wells, JCK; Adair, LS; Alvero-Cruz, JRA; Ashby-Thompson, MN; Ballesteros-Vásquez, MN; Barrera-Exposito, J; Caballero, B; Carnero, EA; Cleghorn, GJ; Davies, PSW; Desmond, M; Devakumar, D; Gallagher, D; Guerrero-Alcocer, EV; Haschke, F; Horlick, M; Ben Jemaa, H; Khan, AI; Mankai, A; Monyeki, MA; Nashandi, HL; Ortiz-Hernandez, L; Plasqui, G; Reichert, FF; Robles-Sardin, AE; Rush, E; Shypailo, RJ; Sobiecki, JG; ten Hoor, GA; Valdés, J; Wickramasinghe, VP; Wong, WW; Riley, RD; Owen, CG; Whincup, PH; Nightingale, CM |
| Publisher Information: |
BMJ |
| Publication Year: |
2022 |
| Collection: |
St George's University of London: Repository |
| Description: |
Objective To evaluate the performance of a UK based prediction model for estimating fat-free mass (and indirectly fat mass) in children and adolescents in non-UK settings. Design Individual participant data meta-analysis. Setting 19 countries. Participants 5693 children and adolescents (49.7% boys) aged 4 to 15 years with complete data on the predictors included in the UK based model (weight, height, age, sex, and ethnicity) and on the independently assessed outcome measure (fat-free mass determined by deuterium dilution assessment). Main outcome measures The outcome of the UK based prediction model was natural log transformed fat-free mass (lnFFM). Predictive performance statistics of R2, calibration slope, calibration-in-the-large, and root mean square error were assessed in each of the 19 countries and then pooled through random effects meta-analysis. Calibration plots were also derived for each country, including flexible calibration curves. Results The model showed good predictive ability in non-UK populations of children and adolescents, providing R2 values of >75% in all countries and >90% in 11 of the 19 countries, and with good calibration (ie, agreement) of observed and predicted values. Root mean square error values (on fat-free mass scale) were |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf; application/vnd.ms-excel; application/vnd.openxmlformats-officedocument.wordprocessingml.document |
| Language: |
English |
| ISSN: |
1756-1833 |
| Relation: |
https://openaccess.sgul.ac.uk/id/eprint/114870/3/bmj-2022-071185.full.pdf; https://openaccess.sgul.ac.uk/id/eprint/114870/11/hudm071185.wt1.xlsx; https://openaccess.sgul.ac.uk/id/eprint/114870/12/hudm071185.ww.pdf; https://openaccess.sgul.ac.uk/id/eprint/114870/1/%28clean%29%20REVISED%20MANUSCRIPT%20-%20External%20validation%20of%20childhood%20FM%20prediction%20model%20in%2019%20countries%20210722.docx; Hudda, MT; Wells, JCK; Adair, LS; Alvero-Cruz, JRA; Ashby-Thompson, MN; Ballesteros-Vásquez, MN; Barrera-Exposito, J; Caballero, B; Carnero, EA; Cleghorn, GJ; et al. Hudda, MT; Wells, JCK; Adair, LS; Alvero-Cruz, JRA; Ashby-Thompson, MN; Ballesteros-Vásquez, MN; Barrera-Exposito, J; Caballero, B; Carnero, EA; Cleghorn, GJ; Davies, PSW; Desmond, M; Devakumar, D; Gallagher, D; Guerrero-Alcocer, EV; Haschke, F; Horlick, M; Ben Jemaa, H; Khan, AI; Mankai, A; Monyeki, MA; Nashandi, HL; Ortiz-Hernandez, L; Plasqui, G; Reichert, FF; Robles-Sardin, AE; Rush, E; Shypailo, RJ; Sobiecki, JG; ten Hoor, GA; Valdés, J; Wickramasinghe, VP; Wong, WW; Riley, RD; Owen, CG; Whincup, PH; Nightingale, CM (2022) External validation of a prediction model for estimating fat mass in children and adolescents in 19 countries: individual participant data meta-analysis. BMJ, 378. e071185. ISSN 1756-1833 https://doi.org/10.1136/bmj-2022-071185 SGUL Authors: Hudda, Mohammed Taqui |
| DOI: |
10.1136/bmj-2022-071185 |
| Availability: |
https://openaccess.sgul.ac.uk/id/eprint/114870/; https://openaccess.sgul.ac.uk/id/eprint/114870/11/hudm071185.wt1.xlsx; https://openaccess.sgul.ac.uk/id/eprint/114870/12/hudm071185.ww.pdf; https://doi.org/10.1136/bmj-2022-071185 |
| Rights: |
cc_by_nc_4 |
| Accession Number: |
edsbas.1314794B |
| Database: |
BASE |