Keyword search (3,876 papers available)


BOLD Long-Range Temporal Correlations Reflect Changes in Language and Depression Across Intensive Aphasia Therapy

Author(s): Jäger AP; Steele CJ; Dreyer FR; Osterloh MR; Sadlon A; Nikulin V; Mohr B; Pulvermüller F;

Background: Intensive language-action therapy treats language deficits and depressive symptoms in chronic poststroke aphasia, yet the underlying neural mechanisms remain underexplored. Long-range temporal correlations (LRTCs) in blood oxygenation level-depe...

Article GUID: 40927858

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

Author(s): Saputra ST; Van Hulst A; Henderson M; Brugiapaglia S; Faustini C; Kakinami L;

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 =...

Article GUID: 40878792

Multivariate white matter microstructure alterations in older adults with coronary artery disease

Author(s): Tremblay SA; Potvin-Jutras Z; Sabra D; Rezaei A; Sanami S; Gagnon C; Intzandt B; Mainville-Berthiaume A; Wright L; Leppert IR; Tardif CL; St...

Patients with coronary artery disease (CAD) face an increased risk of cognitive impairment, dementia, and stroke. While white matter (WM) lesions are frequently reported in patients with CAD, the e...

Article GUID: 40829939

The age of obesity onset affects changes in subcutaneous adipose tissue macrophages and T cells after weight loss

Author(s): Murphy J; Morais JA; Tsoukas MA; Cooke AB; Daskalopoulou SS; Santosa S;

Introduction: Adipose tissue inflammation, driven in part by immune cells, may contribute to the elevated type 2 diabetes risk in adults with childhood-onset obesity (CO) compared to those with adult-onset obesity (AO). Weight loss can modify adipose tissue...

Article GUID: 40831565

Prioritising methodological research questions for scoping reviews, mapping reviews and evidence and gap maps for health research: a protocol for PROSPECT Delphi study

Author(s): Pollock D; Hasanoff S; McBride G; Kanukula R; Tricco AC; Khalil H; Campbell F; Jia RM; Alexander L; Peters M; Vieira AM; Aromataris E; Nunn ...

Introduction: Scoping reviews, mapping reviews and evidence and gap maps (collectively known as 'big picture reviews') in health continue to gain popularity within the evidence ecosystem. T...

Article GUID: 40759523

The longitudinal effects of global and regional brain measurements on cognitive abilities

Author(s): Hosseininasabnajar F; Kakinami L;

Loss of brain tissues and cognitive abilities are natural processes of aging, but longitudinal studies are limited. We explored the longitudinal association between global and regional brain measures with cognitive abilities among individuals with normal co...

Article GUID: 40739300

Assessing quantitative MRI techniques using multimodal comparisons

Author(s): Carter F; Anwander A; Johnson M; Goucha T; Adamson H; Friederici AD; Lutti A; Gauthier CJ; Weiskopf N; Bazin PL; Steele CJ;...

The study of brain structure and change in neuroscience is commonly conducted using macroscopic morphological measures of the brain such as regional volume or cortical thickness, providing little i...

Article GUID: 40705745

Assessment of cognitive load in the context of neurosurgery

Author(s): Di Giovanni DA; Kersten-Oertel M; Drouin S; Collins DL;

Purpose: Image-guided neurosurgery demands precise depth perception to minimize cognitive burden during intricate navigational tasks. Existing evaluation methods rely heavily on subjective user feedback, which can be biased and inconsistent. This study uses...

Article GUID: 40650801

Effect of a single dose of lorazepam on resting state functional connectivity in healthy adults

Author(s): Ferland MC; Wang R; Therrien-Blanchet JM; Remahi S; Côté S; Fréchette AJ; Dang-Vu TT; Liu H; Lepage JF; Théoret H;...

Lorazepam is a fast-acting benzodiazepine that is widely used to manage anxiety symptoms through modulation of GABAergic activity. Despite being one of the most prescribed benzodiazepines, the effe...

Article GUID: 40646404


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
Category:
PMID:40878792
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.