Evidence map›Paper›PMID 34504287›Full record

ArticleInternational journal of obesity (2005)2022

Individual and family characteristics associated with health indicators at entry into multidisciplinary pediatric weight management: findings from the CANadian Pediatric Weight management Registry (CANPWR).

Patrick G McPhee, Ian Zenlea, Jill K Hamilton, Josephine Ho, Geoff D C Ball, Rajibul Mian, Annick Buchholz, Anne-Marie Laberge, Laurent Legault, Mark S Tremblay and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of obesity (2005), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 11 institutions in 1 country.

Patrick G McPheeDepartment of Pediatrics, McMaster University, Hamilton, ON, Canada.ORCID http://orcid.org/0000-0001-5613-9755
Ian ZenleaTrillium Health Partners, Mississauga, ON, Canada.
Jill K HamiltonHospital for Sick Children, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-1958-2800
Josephine HoDepartment of Pediatrics, University of Calgary, Calgary, AB, Canada.ORCID http://orcid.org/0000-0003-0379-4427
Geoff D C BallDepartment of Pediatrics, University of Alberta, Edmonton, AB, Canada.
Rajibul MianPopulation Health Research Institute, Hamilton, ON, Canada.
Annick BuchholzChildren's Hospital of Eastern Ontario, Ottawa, ON, Canada.
Anne-Marie LabergeDepartment of Pediatrics, CHU Sainte-Justine and Université de Montréal, Montreal, QC, Canada.
Laurent LegaultDepartment of Pediatrics, McGill University, Montreal, QC, Canada.
Mark S TremblayChildren's Hospital of Eastern Ontario, Ottawa, ON, Canada.
Jean-Pierre ChanoineDepartment of Pediatrics, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0002-5167-2064
Lehana ThabaneDepartment of Pediatrics, McMaster University, Hamilton, ON, Canada.
Katherine M MorrisonDepartment of Pediatrics, McMaster University, Hamilton, ON, Canada. kmorrison@mcmaster.ca.ORCID http://orcid.org/0000-0002-1737-256X
Children's Hospital of Eastern Ontario · CAPopulation Health Research Institute · CACentre Hospitalier Universitaire Sainte-Justine · CAMcGill University · CAMcMaster University · CAMcMaster University Medical Centre · CATrillium Health Centre · CAUniversity of Alberta · CAUniversity of British Columbia · CAUniversity of Calgary · CAUniversity of Toronto · CA

Funding

CIHR FRN 164649
6 · The paper itself

Abstract

objectives(1) To explore individual and family characteristics related to anthropometric and cardiometabolic health indicators and (2) examine whether characteristics that correlate with cardiometabolic health indicators differ across severity of obesity at time of entry to Canadian pediatric weight management clinics.

methodsWe conducted a cross-sectional analysis of 2-17 year olds with overweight or obesity who registered in the CANadian Pediatric Weight Management Registry (CANPWR) between May 2013 and October 2017 prior to their first clinic visit. Individual modifiable health behaviors included dietary intake, physical activity, screen time, and sleep. Family characteristics included parental BMI, family medical history, socioeconomic status and family structure. Linear mixed effects stepwise regression analysis was performed to determine which characteristics were related to each health indicator: BMI z-score; waist circumference; waist to height ratio; blood pressure; glycemia; HDL cholesterol; non-HDL cholesterol; triglycerides.

resultsThis study included 1296 children (mean age ± standard deviation: 12.1 ± 3.5 years; BMI z-score: 3.55 ± 1.29; 95.3% with obesity). Hours spent sleeping (estimated β = -0.10; 95% CI [-0.15, -0.05], p = 0.0001), hours per week of organized physical activity (estimated β = -0.32; 95% CI [-0.53, -0.11], p = 0.0026), daily sugared drink intake (estimated β = 0.06; 95% CI [0.01, 0.10], p = 0.0136) and maternal BMI (estimated β = 0.03; 95% CI [0.02, 0.04], p < 0.0001) were associated with BMI z-score (adj. R

conclusionsPhysical activity, total sugared drink intake and hours spent sleeping were related to anthropometric and some cardiometabolic health indicators in children entering pediatric weight management programs. This highlights the importance of these modifiable health behaviors on multiple health indicators in children with obesity.

Indexed as

Family CharacteristicsAdolescentAnthropometryCanadaChildChild, PreschoolCross-Sectional StudiesFemaleHumansMalePediatricsRegistriesRisk FactorsWeight Reduction Programs

Identifiers

PMID34504287
OpenAlexW3196817792

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.