Keyword search (4,163 papers available)

"lipid" Keyword-tagged Publications:

Title Authors PubMed ID
1 Physical activity may protect myelin via modulation of high-density lipoprotein Boa Sorte Silva NC; Balbim GM; Stein RG; Gu Y; Tam RC; Dao E; Alkeridy W; Lam K; Kramer AF; Liu-Ambrose T; 39989020
HKAP
2 Neuroinflammation and oxidative redox imbalance drive memory dysfunction in adolescent rats prenatally exposed to Datura Stramonium Bamisi O; Oluwalabani AO; Arogundade TT; Olajide OJ; 39303770
PSYCHOLOGY
3 TANGO2 deficiency disease is predominantly caused by a lipid imbalance Sacher M; DeLoriea J; Mehranfar M; Casey C; Naaz A; Gamberi C; 38836374
BIOLOGY
4 Removal of Nutrients from Water Using Biosurfactant Micellar-Enhanced Ultrafiltration Binte Rafiq Era S; Mulligan CN; 36838547
ENCS
5 Overview of Sigma-1R Subcellular Specific Biological Functions and Role in Neuroprotection Véronik Lachance 36768299
CSBN
6 Utilization of a biosurfactant foam/nanoparticle mixture for treatment of oil pollutants in soil Vu KA; Mulligan CN; 35834082
ENCS
7 Mechanisms of hypericin incorporation to explain the photooxidation outcomes in phospholipid biomembrane models Pereira LSA; Camacho SA; Almeida AM; Gonçalves RS; Caetano W; DeWolf C; Aoki PHB; 35167859
CNSR
8 Caloric restriction causes a distinct reorganization of the lipidome in quiescent and non-quiescent cells of budding yeast Mohammad K; Orfanos E; Titorenko VI; 34853658
BIOLOGY
9 A green initiative for oiled sand cleanup using chitosan/rhamnolipid complex dispersion with pH-stimulus response Chen Z; An C; Wang Y; Zhang B; Tian X; Lee K; 34687682
ENCS
10 Body Mass Index Z Score vs Weight-for-Length Z Score in Infancy and Cardiometabolic Outcomes at Age 8-10 Years Roberge JB; Harnois-Leblanc S; McNealis V; van Hulst A; Barnett TA; Kakinami L; Paradis G; Henderson M; 34302856
PERFORM
11 Editorial: Advances in Dietary Fat Absorption Nauli AM; Santosa S; Dixon JB; 34168573
HKAP
12 Phase Diagram for a Lysyl-Phosphatidylglycerol Analogue in Biomimetic Mixed Monolayers with Phosphatidylglycerol: Insights into the Tunable Properties of Bacterial Membranes. Wölk C, Youssef H, Guttenberg T, Marbach H, Vizcay-Barrena G, Shen C, Brezesinski G, Harvey RD 32065707
CHEMBIOCHEM
13 Effects of chronic exposure to selenomethionine on social learning outcomes in zebrafish (Danio rerio): serotonergic dysregulation and oxidative stress in the brain. Attaran A, Salahinejad A, Naderi M, Crane AL, Niyogi S, Chivers DP 31972490
BIOLOGY
14 In Vivo Solid-Phase Microextraction for Sampling of Oxylipins in Brain of Awake, Moving Rats Napylov A; Reyes-Garces N; Gomez-Rios G; Olkowicz M; Lendor S; Monnin C; Bojko B; Hamani C; Pawliszyn J; Vuckovic D; 31697450
CHEMBIOCHEM
15 Mechanisms by which PE21, an extract from the white willow Salix alba, delays chronological aging in budding yeast. Medkour Y, Mohammad K, Arlia-Ciommo A, Svistkova V, Dakik P, Mitrofanova D, Rodriguez MEL, Junio JAB, Taifour T, Escudero P, Goltsios FF, Soodbakhsh S, Maalaoui H, Simard É, Titorenko VI 31645900
BIOLOGY
16 Visualization of SNARE-Mediated Organelle Membrane Hemifusion by Electron Microscopy. Mattie S, Kazmirchuk T, Mui J, Vali H, Brett CL 30317518
BIOLOGY
17 The Sexual Dimorphism of Lipid Kinetics in Humans. Santosa S, Jensen MD 26191040
PERFORM

 

Title:Body Mass Index Z Score vs Weight-for-Length Z Score in Infancy and Cardiometabolic Outcomes at Age 8-10 Years
Authors:Roberge JBHarnois-Leblanc SMcNealis Vvan Hulst ABarnett TAKakinami LParadis GHenderson M
Link:https://pubmed.ncbi.nlm.nih.gov/34302856/
DOI:10.1016/j.jpeds.2021.07.046
Publication:The Journal of pediatrics
Keywords:adiposityandroid-to-gynoid ratioblood pressurecardiometabolic healthchildhood obesitychildhood overweightinsulin secretioninsulin sensitivitylipid profilewaist circumferencewhole body fat
PMID:34302856 Category: Date Added:2021-07-25
Dept Affiliation: PERFORM
1 CHU Sainte-Justine Research Centre, University of Montréal, Montréal, Canada; Department of Pediatrics, Faculty of Medicine, University of Montréal, Montréal, Canada.
2 CHU Sainte-Justine Research Centre, University of Montréal, Montréal, Canada; School of Public Health, University of Montréal, Montréal, Canada.
3 CHU Sainte-Justine Research Centre, University of Montréal, Montréal, Canada.
4 Ingram School of Nursing, McGill University, Montréal, Canada.
5 CHU Sainte-Justine Research Centre, University of Montréal, Montréal, Canada; Department of Family Medicine, McGill University, Montréal, Canada.
6 Department of Mathematics and Statistics, McGill University, Montréal, Canada; PERFORM Centre, Concordia University, Montréal, Canada.
7 Department of Epidemiology, Biostatistics and Occupational Health, Montréal, Canada.
8 CHU Sainte-Justine Research Centre, University of Montréal, Montréal, Canada; Department of Pediatrics, Faculty of Medicine, University of Montréal, Montréal, Canada; School of Public Health, University of Montréal, Montréal, Canada. Electronic address: melanie.henderson.hsj@gmail.com.

Description:

Objectives: To confirm that World Health Organization weight-for-length z scores (zWFL) and World Health Organization body mass index z scores (zBMI) in infancy are associated with adiposity and cardiometabolic measures at 8-10 years old and to compare the predictive ability of the 2 methods.

Study design: zWFL and zBMI at 6, 12, and 18 months of age were computed using data extracted from health booklets, among participants in the Québec Adipose and Lifestyle InvesTigation in Youth prospective cohort (n = 464). Outcome measures at 8-10 years included adiposity, lipid profile, blood pressure, and insulin dynamics. The relationships between zWFL, zBMI, and each outcome were estimated using multivariable linear regression models. Outcome prediction at 8-10 years was compared between the 2 methods using eta-squared and the Lin concordance correlation coefficient.

Results: zWFL and zBMI were associated with all measures of adiposity at 8-10 years. Associations with other cardiometabolic measures were less consistent. For both zWFL and zBMI across infancy, eta-squared were highly similar and the Lin coefficients were markedly high (=0.991) for all outcomes.

Conclusions: There was no evidence that zBMI and zWFL in infancy differed in their ability to predict adiposity and cardiometabolic measures in childhood. This lends support to the sole use of zBMI for growth monitoring and screening of overweight and obesity from birth to 18 years.

Trial registration: ClinicalTrials.gov: NCT03356262.





BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University