Keyword search (4,164 papers available)

"Cardiometabolic risk" Keyword-tagged 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 Sex and APOE4-specific links between cardiometabolic risk factors and white matter alterations in individuals with a family history of Alzheimer s disease Tremblay SA; Nathan Spreng R; Wearn A; Alasmar Z; Pirhadi A; Tardif CL; Chakravarty MM; Villeneuve S; Leppert IR; Carbonell F; Medina YI; Steele CJ; Gauthier CJ; 40086421
PSYCHOLOGY
3 Health behavior profiles in young survivors of childhood cancer: Findings from the St. Jude Lifetime Cohort Study Webster RT; Dhaduk R; Gordon ML; Partin RE; Kunin-Batson AS; Brinkman TM; Willard VW; Allen JM; Alberts NM; Lanctot JQ; Ehrhardt MJ; Li Z; Hudson MM; Robison LL; Ness KK; 36943740
PSYCHOLOGY
4 Body-composition phenotypes and their associations with cardiometabolic risks and health behaviours in a representative general US sample Kakinami L; Plummer S; Cohen TR; Santosa S; Murphy J; 36183799
PERFORM
5 Associations of the BDNF Val66Met Polymorphism With Body Composition, Cardiometabolic Risk Factors, and Energy Intake in Youth With Obesity: Findings From the HEARTY Study Goldfield GS; Walsh J; Sigal RJ; Kenny GP; Hadjiyannakis S; De Lisio M; Ngu M; Prud' homme D; Alberga AS; Doucette S; Goldfield DB; Cameron JD; 34867148
IMAGING

 

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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