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"ray" Keyword-tagged Publications:

Title Authors PubMed ID
1 Sagittal abdominal diameter and abdominal aortic calcification are associated with incident major adverse cardiovascular events: The Manitoba Bone Density Registry Abraha HN; Gebre AK; Sim M; Smith C; Gilani SZ; Ilyas Z; Zarzour F; Schousboe JT; Lix LM; Binkley N; Reid S; Monchka BA; Kimelman D; Lewis JR; Leslie WD; 41903786
ENCS
2 Automated abdominal aortic calcification and trabecular bone score independently predict incident fracture during routine osteoporosis screening Gebre AK; Sim M; Gilani SZ; Saleem A; Smith C; Hans D; Reid S; Monchka BA; Kimelman D; Jozani MJ; Schousboe JT; Lewis JR; Leslie WD; 41071096
ENCS
3 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
4 24-hour activity cycle behaviors and gray matter volume in mild cognitive impairment Balbim GM; Boa Sorte Silva NC; Falck RS; Kramer AF; Voss MW; Liu-Ambrose T; 40693459
HKAP
5 Joint enhancement of automatic chest x-ray diagnosis and radiological gaze prediction with multistage cooperative learning Qiu Z; Rivaz H; Xiao Y; 40665596
ENCS
6 Longitudinal relationships among cerebrospinal fluid biomarkers, cerebral blood flow, and grey matter volume in individuals with a familial history of Alzheimer s disease Sanami S; Intzandt B; Huck J; Villeneuve S; Iturria-Medina Y; Gauthier CJ; Prevent-Ad Research Group None; 40347524
CONCORDIA
7 Effect of Microstructure on Oxidation Resistance and TGO Formation in FeCoNiCrAl HEA Coatings Deposited by Low-Temperature HVAF Spraying Shahbazi H; Lima RS; Stoyanov P; Moreau C; 40271745
ENCS
8 Automated abdominal aortic calcification and major adverse cardiovascular events in people undergoing osteoporosis screening: the Manitoba Bone Mineral Density Registry Smith C; Sim M; Ilyas Z; Gilani SZ; Suter D; Reid S; Monchka BA; Jozani MJ; Figtree G; Schousboe JT; Lewis JR; Leslie WD; 39749990
ENCS
9 Predictive heating load management and energy flexibility analysis in residential sector using an archetype gray-box modeling approach: Application to an experimental house in Québec Abtahi M; Athienitis A; Delcroix B; 39507415
ENCS
10 Dual-Band Antenna Array Fed by Ridge Gap Waveguide with Dual-Periodic Interdigital-Pin Bed of Nails Chen B; Chen X; Cheng X; Da Y; Liu X; Gao S; Kishk AA; 39204813
ENCS
11 DEXA Body Composition Asymmetry Analysis and Association to Injury Risk and Low Back Pain in University Soccer Players Vaillancourt N; Montpetit C; Carile V; Fortin M; 38791774
SOH
12 Microstructure of Deposits Sprayed by a High Power Torch with Flash Boiling Atomization of High-Concentration Suspensions Amrollahy Biouki S; Ben Ettouil F; C Liberati A; Dolatabadi A; Moreau C; 38612008
ENCS
13 Advanced Dielectric Resonator Antenna Technology for 5G and 6G Applications Zhang Y; Ogurtsov S; Vasilev V; Kishk AA; Caratelli D; 38474958
ENCS
14 Electroconductive Collagen-Carbon Nanodots Nanocomposite Elicits Neurite Outgrowth, Supports Neurogenic Differentiation and Accelerates Electrophysiological Maturation of Neural Progenitor Spheroids Lomboni DJ; Ozgun A; de Medeiros TV; Staines W; Naccache R; Woulfe J; Variola F; 37922888
CHEMBIOCHEM
15 A Comparative Study of the Self-Cleaning and Filtration Performance of Suspension Plasma-Sprayed TiO2 Ultrafiltration and Microfiltration Membranes Alebrahim E; Moreau C; 37755172
ENCS
16 Trabecular Bone Score Preceding and during a 2-Year Follow-Up after Sleeve Gastrectomy: Pitfalls and New Insights Joshua Stokar 37571418
HKAP
17 Combining Pr3+-Doped Nanoradiosensitizers and Endogenous Protoporphyrin IX for X-ray-Mediated Photodynamic Therapy of Glioblastoma Cells Mandl GA; Vettier F; Tessitore G; Maurizio SL; Bietar K; Stochaj U; Capobianco JA; 37267436
CHEMBIOCHEM
18 Sex-specific relationships between obesity, physical activity, and gray and white matter volume in cognitively unimpaired older adults Brittany Intzandt 36781598
PERFORM
19 Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images Bourouis S; Alharbi A; Bouguila N; 34460578
ENCS
20 Neural substrates of appetitive and aversive prediction error. Iordanova MD, Yau JO, McDannald MA, Corbit LH 33453307
CSBN
21 Lumbar Multifidus Muscle Characteristics, Body Composition, and Injury in University Rugby Players Lévesque J; Rivaz H; Rizk A; Frenette S; Boily M; Fortin M; 32997748
PERFORM
22 Impact of fluorination on interface energetics and growth of pentacene on Ag(111). Wang Q, Chen MT, Franco-Cañellas A, Shen B, Geiger T, F Bettinger H, Schreiber F, Salzmann I, Gerlach A, Duhm S 32974114
CHEMBIOCHEM
23 COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images. Afshar P, Heidarian S, Naderkhani F, Oikonomou A, Plataniotis KN, Mohammadi A 32958971
ENCS
24 The effect of low back pain and lower limb injury on lumbar multifidus muscle morphology and function in university soccer players. Nandlall N, Rivaz H, Rizk A, Frenette S, Boily M, Fortin M 32050966
PERFORM
25 Differences between chronological and brain age are related to education and self-reported physical activity. Steffener J, Habeck C, O'Shea D, Razlighi Q, Bherer L, Stern Y 26973113
PERFORM
26 Ultrasonography of multifidus muscle morphology and function in ice hockey players with and without low back pain. Fortin M, Rizk A, Frenette S, Boily M, Rivaz H 30897493
PERFORM

 

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 STVan Hulst AHenderson MBrugiapaglia SFaustini CKakinami L
Link:https://pubmed.ncbi.nlm.nih.gov/40878792/
DOI:10.1111/ijpo.70051
Publication:Pediatric obesity
Keywords:adipositycardiometabolic riskdual‐energy x‐ray absorptiometryreference curvesyouth
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.

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.





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