Keyword search (4,163 papers available)

"Paradis G" Authored Publications:

Title Authors PubMed ID
1 The longitudinal effects of maternal parenting practices on children's body mass index z-scores are lagged and differential Kakinami L; Danieles PK; Hosseininasabnajar F; Barnett TA; Henderson M; Van Hulst A; Serbin LA; Stack DM; Paradis G; 37248489
PERFORM
2 Social support and C-reactive protein in a Québec population cohort of children and adolescents Fairbank EJ; McGrath JJ; Henderson M; O' Loughlin J; Paradis G; 35731783
PSYCHOLOGY
3 Comparison of different severe obesity definitions in predicting future cardiometabolic risk in a longitudinal cohort of children Kakinami L; Smyrnova A; Paradis G; Tremblay A; Henderson M; 35705336
PERFORM
4 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
5 Parenting style and obesity risk in children. Kakinami L, Barnett TA, Séguin L, Paradis G 25797329
PERFORM
6 The association between income and leisure-time physical activity is moderated by utilitarian lifestyles: A nationally representative US population (NHANES 1999-2014) Kakinami L; Wissa R; Khan R; Paradis G; Barnett TA; Gauvin L; 29753806
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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