Keyword search (4,164 papers available)

"Sensitivity" Keyword-tagged Publications:

Title Authors PubMed ID
1 A longitudinal person-centered analysis of anxiety sensitivity risk for young adult alcohol misuse: Examining the role of injunctive norms Corran C; Morin AJS; Hendershot CS; O' Connor RM; 40667852
PSYCHOLOGY
2 Large scale laboratory evolution uncovers clinically relevant collateral antibiotic sensitivity Chowdhury FR; Banari V; Lesnic V; Zhanel GG; Findlay BL; 40615056
BIOLOGY
3 Toward cognitive models of misophonia Savard MA; Coffey EBJ; 39874936
PSYCHOLOGY
4 Young adult drinking during the COVID-19 pandemic: Examining the role of anxiety sensitivity, perceived stress, and drinking motives Corran C; Norman P; O' Connor RM; 39761074
PSYCHOLOGY
5 Assessment of urban greenhouse gas emissions towards reduction planning and low-carbon city: a case study of Montreal, Canada Shadnoush Pashaei 38638449
ENCS
6 A DiffeRential Evolution Adaptive Metropolis (DREAM)-based inverse model for continuous release source identification in river pollution incidents: Quantitative evaluation and sensitivity analysis Zhu Y; Cao H; Gao Z; Chen Z; 38309421
ENCS
7 Advancement in Biosensor Technologies of 2D MaterialIntegrated with Cellulose-Physical Properties Ramezani G; Stiharu I; van de Ven TGM; Nerguizian V; 38258201
ENCS
8 Development and performance assessment of a new opensource Bayesian inference R platform for building energy model calibration Hou D; Zhan D; Wang L; Hassan IG; Sezer N; 37936825
ENCS
9 Numerical-Experimental Analysis toward the Strain Rate Sensitivity of 3D-Printed Nylon Reinforced by Short Carbon Fiber Vanaei HR; Magri AE; Rastak MA; Vanaei S; Vaudreuil S; Tcharkhtchi A; 36556527
ENCS
10 We're building it up to burn it down: fire occurrence and fire-related climatic patterns in Brazilian biomes Diele Viegas LM; Sales L; Hipólito J; Amorim C; Johnson de Pereira E; Ferreira P; Folta C; Ferrante L; Fearnside P; Mendes Malhado AC; Frederico Duarte Rocha C; M Vale M; 36312759
BIOLOGY
11 Development of a DREAM-based inverse model for multi-point source identification in river pollution incidents: Model testing and uncertainty analysis Zhu Y; Chen Z; 36191500
ENCS
12 Specificity of Affective Responses in Misophonia Depends on Trigger Identification Savard MA; Sares AG; Coffey EBJ; Deroche MLD; 35692416
PSYCHOLOGY
13 Natural history and determinants of dysglycemia in Canadian children with parental obesity from ages 8-10 to 15-17 years: The QUALITY cohort Soren Harnois-Leblanc 35023257
PERFORM
14 External validation of a shortened screening tool using individual participant data meta-analysis: A case study of the Patient Health Questionnaire-Dep-4 Harel D; Levis B; Sun Y; Fischer F; Ioannidis JPA; Cuijpers P; Patten SB; Ziegelstein RC; Markham S; Benedetti A; Thombs BD; 34780986
CONCORDIA
15 Identification of point source emission in river pollution incidents based on Bayesian inference and genetic algorithm: Inverse modeling, sensitivity, and uncertainty analysis Zhu Y; Chen Z; Asif Z; 34380214
ENCS
16 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
17 Assessing the coastal sensitivity to oil spills from the perspective of ecosystem services: A case study for Canada's pacific coast Feng Q; An C; Chen Z; Owens E; Niu H; Wang Z; 34271360
ENCS
18 Assessing the regional biogenic methanol emission from spring wheat during the growing season: A Canadian case study Cai M; An C; Guy C; Lu C; Mafakheri F; 34182392
ENCS
19 Assessment of regional greenhouse gas emission from beef cattle production: A case study of Saskatchewan in Canada. Chen Z, An C, Fang H, Zhang Y, Zhou Z, Zhou Y, Zhao S 32217321
ENCS
20 Influence of Head Tissue Conductivity Uncertainties on EEG Dipole Reconstruction. Vorwerk J, Aydin Ü, Wolters CH, Butson CR 31231178
PERFORM
21 Neurotensin in the nucleus accumbens reverses dopamine supersensitivity evoked by antipsychotic treatment. Servonnet A, Minogianis EA, Bouchard C, Bédard AM, Lévesque D, Rompré PP, Samaha AN 28522313
CSBN

 

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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