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PubMed Publications| Keyword search (4,163 papers available) |  |
"Brugiapaglia S" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Development and Application of Children s Sex- and Age-Specific Fat-Mass and Muscle-Mass Reference Curves From Dual-Energy X-Ray Absorptiometry Data for Predicting Cardiometabolic Risk | Saputra ST; Van Hulst A; Henderson M; Brugiapaglia S; Faustini C; Kakinami L; | 40878792 SOH |
| 2 | Real-time motion detection using dynamic mode decomposition | Mignacca M; Brugiapaglia S; Bramburger JJ; | 40421310 MATHSTATS |
| 3 | Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks | Adcock B; Brugiapaglia S; Dexter N; Moraga S; | 39454372 MATHSTATS |
| 4 | Generalization limits of Graph Neural Networks in identity effects learning | D' Inverno GA; Brugiapaglia S; Ravanelli M; | 39426036 ENCS |
| 5 | Invariance, Encodings, and Generalization: Learning Identity Effects With Neural Networks | Brugiapaglia S; Liu M; Tupper P; | 35798322 MATHSTATS |
| Title: | Development and Application of Children s Sex- and Age-Specific Fat-Mass and Muscle-Mass Reference Curves From Dual-Energy X-Ray Absorptiometry Data for Predicting Cardiometabolic Risk | ||||
| Authors: | Saputra ST, Van Hulst A, Henderson M, Brugiapaglia S, Faustini C, Kakinami L | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/40878792/ | ||||
| DOI: | 10.1111/ijpo.70051 | ||||
| Publication: | Pediatric obesity | ||||
| Keywords: | adiposity; cardiometabolic risk; dual‐; energy x‐; ray absorptiometry; reference curves; youth; | ||||
| PMID: | 40878792 | Category: | Date Added: | 2025-08-29 | |
| Dept Affiliation: |
SOH
1 Department of Mathematics and Statistics, Concordia University, Quebec, Canada. 2 Ingram School of Nursing, McGill University, Quebec, Canada. 3 Centre de Recherche CHU Sainte-Justine, Université de Montréal, Quebec, Canada. 4 Department of Pediatrics, Université de Montréal, Quebec, Canada. 5 School of Public Health, Department of Social and Preventive Medicine, Université de Montréal, Montréal, Quebec, Canada. 6 School of Health, Concordia University, Quebec, Canada. |
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Description: |
Background: A dual-energy x-ray absorptiometry (DXA)-derived phenotype classification based on fat mass and muscle mass has been developed for adults. We extended this to a paediatric population. Methods: Children's (= 17 years) DXA data in NHANES (n = 6120) were used to generate sex- and age-specific deciles of appendicular skeletal muscle mass index and fat mass index with the Lambda Mu Sigma method. Four phenotypes (high [H] or low [L], adiposity [A] and muscle mass [M]: HA-HM, HA-LM, LA-HM, LA-LM) were identified based on being above/below the median compared to same-sex and same-age peers. These reference curves were applied to the QUALITY cohort (n = 630, 8-10 years of age in 2005) to assess whether the phenotypes correctly identified cardiometabolic risk at baseline, follow-up (2008-2010), and their longitudinal changes. Multiple linear regression models were adjusted for age, sex, and Tanner's stage. Results: Compared to the LA-HM reference group, the HA-HM phenotype was associated with less favourable HDL, triglycerides, and HOMA-IR at baseline and first follow-up, but not in their changes. The HA-LM phenotype was associated with less favourable HOMA-IR at baseline and first follow-up. Conclusions: Results suggest that phenotypes based on fat and muscle mass may have clinical utility in children and should be further investigated. |
