Keyword search (3,658 papers available)


Validating MEG estimated resting-state connectome with intracranial EEG

Author(s): Afnan J; Cai Z; Lina JM; Abdallah C; Pellegrino G; Arcara G; Khajehpour H; Frauscher B; Gotman J; Grova C;...

Magnetoencephalography (MEG) is widely used for studying resting-state brain connectivity. However, MEG source imaging is ill posed and has limited spatial resolution. This introduces source-leakag...

Article GUID: 40161991

Overweight and obesity in early childhood and obesity at 10 years of age: a comparison of World Health Organization definitions

Author(s): Van Hulst A; Zheng S; Argiropoulos N; Ybarra M; Ball GDC; Kakinami L;

The World Health Organization recommends using + 2 SD of body mass index z-score (zBMI) to define overweight/obesity (OWO) in children ages 2 to 5 years whereas + 1 SD is used as cut-point from 5 years onwards. Empirical evidence for using different cut-poi...

Article GUID: 40140102

The Awakening Brain is Characterized by a Widespread and Spatiotemporally Heterogeneous Increase in High Frequencies

Author(s): Avigdor T; Ren G; Abdallah C; Dubeau F; Grova C; Frauscher B;

Morning awakening is part of everyday life. Surprisingly, information remains scarce on its underlying neurophysiological correlates. Here simultaneous polysomnography and stereo-electroencephalography recordings from 18 patients are used to assess the spec...

Article GUID: 40126936

Sex-specific effects of intensity and dose of physical activity on BOLD-fMRI cerebrovascular reactivity and cerebral pulsatility

Author(s): Potvin-Jutras Z; Intzandt B; Mohammadi H; Liu P; Chen JJ; Gauthier CJ;

Cerebrovascular reactivity (CVR) and cerebral pulsatility (CP) are important indicators of cerebrovascular health, which are associated with physical activity (PA). While sex differences influence the impact of PA on cerebrovascular health, sex-specific eff...

Article GUID: 40079560

Comparison of Combined Motor Control Training and Isolated Extensor Strengthening Versus General Exercise on Lumbar Paraspinal Muscle Health and Associations With Patient-Reported Outcome Measures in Chronic Low Back Pain Patients: A Randomized Controlled Trial

Author(s): Rosenstein B; Rye M; Roussac A; Naghdi N; Macedo LG; Elliott J; DeMont R; Weber MH; Pepin V; Dover G; Fortin M;...

Study DesignProspective Randomized Controlled Trial.ObjectivesTo investigate the effect of combined motor control and isolated lumbar strengthening exercise (MC + ILEX) vs general exercise (GE) on ...

Article GUID: 40066720

Combating childhood overweight and obesity: The role of Olympic Movement and bodily movement

Author(s): Tam BT; Wan K; Santosa S; Cai Z;

With over 420 million children (aged 0-19 years) worldwide living with overweight or obesity, the "obesity epidemic" or "globesity" is a defining public health challenge of this generation. While significant efforts have been made to address...

Article GUID: 39991475

A database of magnetic resonance imaging-transcranial ultrasound co-registration

Author(s): Alizadeh M; Collins DL; Kersten-Oertel M; Xiao Y;

Purpose: As a portable and cost-effective imaging modality with better accessibility than Magnetic Resonance Imaging (MRI), transcranial sonography (TCS) has demonstrated its flexibility and potential utility in various clinical diagnostic applications, inc...

Article GUID: 39920905

Sex differences in the metabolism of glucose and fatty acids by adipose tissue and skeletal muscle in humans

Author(s): Costa DN; Santosa S; Jensen MD;

Adult males and females have markedly different body composition, energy expenditure, and have different degrees of risk for metabolic diseases. A major aspect of metabolic regulation involves the appropriate storage and disposal of glucose and fatty acids....

Article GUID: 39869194

Dialogue mechanisms between astrocytic and neuronal networks: A whole-brain modelling approach

Author(s): Ali OBK; Vidal A; Grova C; Benali H;

Astrocytes critically shape whole-brain structure and function by forming extensive gap junctional networks that intimately and actively interact with neurons. Despite their importance, existing computational models of whole-brain activity ignore the roles ...

Article GUID: 39804928


Title:Overweight and obesity in early childhood and obesity at 10 years of age: a comparison of World Health Organization definitions
Authors:Van Hulst AZheng SArgiropoulos NYbarra MBall GDCKakinami L
Link:https://pubmed.ncbi.nlm.nih.gov/40140102/
DOI:10.1007/s00431-025-06098-5
Category:
PMID:40140102
Dept Affiliation: SOH
1 Ingram School of Nursing, Faculty of Medicine and Health Sciences, Mcgill University, 680 Sherbrooke West, Montreal, QC, H3A 2M7, Canada. andraea.vanhulst@mcgill.ca.
2 Ingram School of Nursing, Faculty of Medicine and Health Sciences, Mcgill University, 680 Sherbrooke West, Montreal, QC, H3A 2M7, Canada.
3 Department of Mathematics and Statistics, Faculty of Arts and Science, Concordia University, Montreal, Canada.
4 Department of Pediatrics, London Health Sciences Centre, Children's Hospital of Western Ontario, Western University, London, Canada.
5 Department of Pediatrics, Faculty of Medicine & Dentistry, College of Health Sciences, University of Alberta, Edmonton, Canada.
6 School of Health, Concordia University, Montreal, Canada.

Description:

The World Health Organization recommends using + 2 SD of body mass index z-score (zBMI) to define overweight/obesity (OWO) in children ages 2 to 5 years whereas + 1 SD is used as cut-point from 5 years onwards. Empirical evidence for using different cut-points across childhood is lacking. Our objective was to compare the ability of OWO in early childhood defined using zBMI cut-points at + 2 SD and + 1 SD to predict obesity at 10 years. Data from a prospective birth cohort (QLSCD) were analyzed. At ages 2.5, 3.5, and 4.5 years, children were classified as OWO based on + 2 SD and + 1 SD zBMI cut-points. At 10 years, obesity was assessed (zBMI and waist circumference). Associations between OWO (vs non-OWO) and later obesity were estimated using multivariable linear regressions. Outcome predictions for each cut-point were compared using partial eta-squared values. The sample included 1092 children (53% female). OWO in early childhood was 2-3 times more prevalent when using + 1 SD vs + 2 SD cut-points. In relation to later obesity, partial eta-squared values for both cut-points of OWO were in the small to medium effect size range (ranging from 3 to 15%), suggesting that OWO regardless of cut-point contributed only modestly to obesity measured at 10 years. However, across all time points, eta-squared values were slightly higher for OWO defined at + 1 SD vs + 2 SD, indicating a higher proportion of variance in outcomes being accounted for at zBMI + 1 SD. Conclusion: In children 2 to 5 years old, both definitions of OWO had small to modest effect sizes in relation to obesity in childhood albeit with a marginally superior predictive ability of the + 1 SD over the + 2 SD cut-point across early childhood. From a clinical perspective, using a single cut-point from early childhood onwards may be more practical to monitor growth and weight gain over time and identify children at risk of persistent obesity. What is Known: • The World Health Organization recommends using zBMI cut-points at + 2 SD for children ages 2-5 years, and + 1 SD from 5 years onwards to define overweight/obesity • Research is needed to determine which zBMI cut-point (+ 2 SD or + 1 SD) in children under 5 years best predicts subsequent obesity What is New: • Both definitions of overweight/obesity in early childhood contributed modestly to obesity at 10 years, with + 1 SD being marginally more effective than + 2 SD • Using a single cut-point at + 1 SD across childhood may be more practical for monitoring growth, weight gain, and identifying children at risk of persistent obesity.