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Record W3107159328 · doi:10.1089/chi.2020.0143

Body Mass Index Mediates the Association between Growth Trajectories and Cardiometabolic Risk in Children

2020· article· en· W3107159328 on OpenAlexafffundabout
Xuedi Li, Charles Keown‐Stoneman, Gerald Lebovic, Jonathon L. Maguire, Jessica Omand, John L. Sievenpiper, Catherine S. Birken, Ronald D. Cohn, Eddy Lau, Andreas Laupacis, Patricia C. Parkin, Michael Salter, Shannon Weir-Seeley, Laura N. Anderson, Cornelia M. Borkhoff, Christine Kowal, Dalah Mason, M. B. Abdurrahman, Gordon Arbess, Jillian Baker, Tony Barozzino, Sylvie Bergeron, Gary Bloch, Joey Bonifacio, Ashna Bowry, Caroline Calpin, Douglas Campbell, Sohail Cheema, Elaine Cheng, Brian Chisamore, Evelyn Constantin, Karoon Danayan, Paul Das, Mary Beth Derocher, Anh Do, Kathleen Doukas, Anne E. Egger, Allison Farber, Amy L. Freedman, Sloane Freeman, Sharon Gazeley, Charlie Guiang, Dan Ha, Curtis Handford, Laura Hanson, Leah Harrington, Sheila Jacobson, Lukasz Jagiello, Gwen Jansz, Paul Kadar, Tara Kiran, Holly Knowles, Bruce Kwok, Sheila Lakhoo, Margarita Lam-Antoniades, Denis Leduc, Fok‐Han Leung, Alan Li, Patricia Li, Jessica Malach, Roy Male, Aleks Meret, Élise Mok, Rosemary Moodie, Katherine A. Nash, Sharon Naymark, James S. Owen, Michael Peer, Marty Perlmutar, Navindra Persaud, Andrew Pinto, Michelle Porepa, Vikky Qi, Noor Ramji, Danyaal Raza, Alana Rosenthal, Katherine Rouleau, Caroline Ruderman, Janet Saunderson, Vanna Schiralli, Michael Sgro, Hafiz Shuja, Susan Shepherd, Barbara Smiltnieks, Cinntha Srikanthan, Carolyn Taylor, Stephen Treherne, Suzanne D. Turner, Fatima Uddin, Meta van den Heuvel, Thea Weisdorf, Peter Wong, John Yaremko, Ethel Ying, Elizabeth Young, Michael Zajdman, Marivic Bustos, Pamela Ruth Flores, Mateenah Jaleel, Tarandeep Malhi, Ataat Malick, Michelle Mitchell, Martin Ogwuru, Frank S Ong, Rejina Rajendran, Sharon Thadani, Julia Thompson, Laurie Thompson, Mary Aglipay, Imaan Bayoumi, Sarah Carsley, Katherine Tombeau Cost, Karen Eny, Laura M. Kinlin, Shelley Vanderhout, Leigh M. Vanderloo, Christopher T. Allen, Bryan Boodhoo, Peter Jüni, Gurpreet Lakhanpal, Rita A. Kandel, Michelle Rodrigues

Bibliographic record

VenueChildhood Obesity · 2020
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsSt. Michael's HospitalInstitute for Clinical Evaluative SciencesUniversity of TorontoSickKids FoundationPublic Health OntarioHospital for Sick Children
FundersCanadian Institutes of Health Research
KeywordsConfidence intervalMediationBody mass indexMedicineLongitudinal studyDemographyTrajectoryCohort studyInternal medicinePathology

Abstract

fetched live from OpenAlex

Background: Few studies have published mediation analyses to quantify the role concurrent BMI plays in the relationship between growth and cardiometabolic risk (CMR) outcomes. Methods: We used data from a longitudinal cohort study conducted in children aged 0–60 months through The Applied Research Group for Kids (TARGet Kids!) in Canada. Four age and sex standardized BMI (zBMI) trajectories were identified using latent class mixed models. CMR were assessed using a CMR score. Concurrent zBMI was the zBMI measured on the same visit as CMR. Mediation analyses were performed comparing each trajectory with the reference trajectory. Results: One thousand one hundred sixty-five children were included. On average, compared with being in the stable low trajectory, being in the catch-up trajectory was associated with an increased CMR score of 0.42, 0.28 of which was mediated through concurrent zBMI [95% confidence interval (CI) 0.17 to 0.41, p = 0.001]; being in the stable high trajectory was associated with an increased CMR score of 0.23, 0.24 through concurrent zBMI (95% CI 0.18 to 0.31, p < 0.001). Similarly, being in the rapid accelerating trajectory was associated with an increased CMR score of 1.43, 1.18 of which was through concurrent zBMI (95% CI 0.89 to 1.50, p < 0.001). Conclusions: There was a strong evidence that the effect of BMI trajectories on CMR was indirect via concurrent BMI. It is important for researchers to choose the most appropriate analytic method based on the study hypothesis to understand the total or direct effect of growth patterns on cardiometabolic disease risk in children.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.227
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes3
Has abstractyes

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