Evidence map›Paper›PMID 28209703›Full record

ArticleCanadian family physician Medecin de famille canadien2017

Determining rates of overweight and obese status in children using electronic medical records: Cross-sectional study.

Catherine S Birken, Karen Tu, William Oud, Sarah Carsley, Miranda Hanna, Gerald Lebovic, Astrid Guttmann

Abstract read

In one paragraph

Article in Canadian family physician Medecin de famille canadien, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it

0cells of the map it votes in

7citing papers in PubMed

–field-weighted citation impact

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

7 citing papers in PubMed.

Does Bedtime Really Matter? Examining How Sleep Timing Relates to Sleep Duration and Overweight Status in Midwestern Latine Youth.Children (Basel, Switzerland) · 2025
Article
Weight status of children and adolescents with autism spectrum disorder: A cross-sectional analysis of primary care electronic medical records and linked health administrative datasets in Ontario, Canada.Pediatric obesity · 2025
Article
Completeness and representativeness of body mass index in children's electronic general practice records: Linked cross-sectional study in an ethnically-diverse urban population in the United Kingdom.Pediatric obesity · 2021
Article
Inverse-probability weighting and multiple imputation for evaluating selection bias in the estimation of childhood obesity prevalence using data from electronic health records.BMC medical informatics and decision making · 2020
Article
Using EMRALD to assess baseline body mass index among children living within and outside communities participating in the Ontario, Canada Healthy Kids Community Challenge.PloS one · 2019
Article
Prevalence of age-specific and sex-specific overweight and obesity in Ontario and Quebec, Canada: a cross-sectional study using direct measures of height and weight.BMJ open · 2018
Article
Temporal trends in severe obesity prevalence in children and youth from primary care electronic medical records in Ontario: a repeated cross-sectional study.CMAJ open
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

7 authors.

Catherine S BirkenAssociate Professor in the Department of Pediatrics in the Faculty of Medicine at the University of Toronto in Ontario, Scientist in Child Health Evaluative Sciences in the SickKids Research Institute at the Hospital for Sick Children, and Associate Professor in the Institute for Health Policy, Management and Evaluation at the University of Toronto. catherine.birken@sickkids.ca.

Karen TuSenior Scientist in the Institute for Clinical Evaluative Sciences, Professor in the Department of Family and Community Medicine and the Institute for Health Policy, Management and Evaluation at the University of Toronto, and a family physician in the University Health Network-Toronto Western Hospital Family Health Team.

William OudAnalyst in the Institute for Clinical Evaluative Sciences.

Sarah CarsleyDoctoral candidate in the Institute for Health Policy, Management and Evaluation at the University of Toronto and Child Health Evaluative Sciences in the SickKids Research Institute.

Miranda HannaFaculty of Medicine at the University of Toronto.

Gerald LebovicAssistant Professor in the Institute for Health Policy, Management and Evaluation at the University of Toronto and Associate Scientist at the Keenan Research Centre in the Li Ka Shing Knowledge Institute at St Michael's Hospital.

Astrid GuttmannAssociate Professor in the Department of Pediatrics in the Faculty of Medicine at the University of Toronto, Senior Associate Scientist in Child Health Evaluative Sciences in the SickKids Research Institute at the Hospital for Sick Children, Associate Professor in the Institute for Health Policy, Management and Evaluation at the University of Toronto, and Chief Science Officer at the Institute for Clinical Evaluative Sciences.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the prevalence of overweight and obese status in children by age, sex, and visit type, using data from EMRALD

designHeights and weights were abstracted for children 0 to 19 years of age who had at least one well-child visit from January 2010 to December 2011. Using the most recent visit, the proportions and 95% CIs of patients defined as overweight and obese were compared by age group, sex, and visit type using the World Health Organization growth reference standards.

settingOntario.

participantsChildren 0 to 19 years of age who were rostered to a primary care physician participating in EMRALD and had at least one well-child visit from January 2010 to December 2011.

main outcome measuresProportion and 95% CI of children with overweight and obese status by age group; proportion of children with overweight and obese status by sex (with male sex as the referent) within each age group; and proportion of children with overweight and obese status at the most recent well-child visit type compared with other visit types by age group.

resultsThere were 28 083 well-child visits during this period. For children who attended well-child visits, 84.7% of visits had both a height and weight documented. Obesity rates were significantly higher in 1- to 4-year-olds compared with children younger than 1 (6.1% vs 2.3%;

conclusionElectronic medical records might be useful to conduct population-based surveillance of overweight or obese status in children. Methodologic standards, however, should be developed.

Indexed as

AdolescentAge DistributionChildChild Health ServicesChild, PreschoolCross-Sectional StudiesElectronic Health RecordsFemaleHumansInfantInfant, NewbornMaleOntarioOverweightPediatric ObesityPopulation Surveillance

Identifiers

PMID28209703

PMCPMC5395409

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.