Keyword search (4,164 papers available)

"cardiometabolic" Keyword-tagged Publications:

Title Authors PubMed ID
1 Comparing the impact of in-person vs. virtual 10-week family-based childhood obesity management program on anthropometric, cardiometabolic, and mental health outcomes Heidl AJ; Sun D; Faustini C; Gierc M; Bains A; Cohen TR; 41332896
MATHSTATS
2 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
3 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
4 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
5 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
6 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
7 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
8 Weight cycling is associated with adverse cardiometabolic markers in a cross-sectional representative US sample Kakinami L; Knäuper B; Brunet J; 32366587
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.





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