Evidence map›Paper›PMID 30185572›Full record

ArticleBMJ open2018

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.

Justin Thielman, Daniel Harrington, Laura C Rosella, Heather Manson

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In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Review: Sex-Specific Aspects in the Bariatric Treatment of Severely Obese Women.International journal of environmental research and public health · 2020
    Pooled it
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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

4 authors.

Justin ThielmanDepartment of Health Promotion, Chronic Disease & Injury Prevention Public Health Ontario, Toronto, Ontario, Canada.
Daniel HarringtonDepartment of Health Promotion, Chronic Disease & Injury Prevention Public Health Ontario, Toronto, Ontario, Canada.
Laura C RosellaDepartment of Health Promotion, Chronic Disease & Injury Prevention Public Health Ontario, Toronto, Ontario, Canada.ORCID 0000-0003-4867-869X
Heather MansonDepartment of Health Promotion, Chronic Disease & Injury Prevention Public Health Ontario, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate whether combining three cycles of the Canadian Health Measures Survey (CHMS) produces provincially representative and valid estimates of overweight and obesity in Ontario and Quebec.

settingAn ongoing, nationally representative health survey in Canada, with data released every 2 years. Objective measures of height and weight were taken at mobile examination centres located within 100 km of participants' residences. To increase sample size, we combined three cycles completed during 2007-2013.

participants5740 Ontario residents and 3980 Quebec residents aged 6-79, with birth dates and directly measured height and weight recorded in the CHMS. Pregnant females were excluded. Sociodemographic characteristics of the Ontario and Quebec portions of the CHMS appeared similar to characteristics from the 2006 Canada Census. PRIMARY OUTCOME MEASURES: Objectively measured overweight and obesity prevalence overall and among males and females in the following age groups: 6-11, 12-19, 20-39, 40-59 and 60-79. We compared these with provincially representative and objectively measured estimates from the 2015 Canadian Community Health Survey (CCHS)-Nutrition.

results57.1% (95% CI 52.8% to 61.4%) of Ontarians were classified overweight or obese and 24.0% (95% CI 20.3% to 27.6%) obese, while Quebec's corresponding percentages were 56.2% (95% CI 51.3% to 61.1%) and 24.4% (95% CI 20.6% to 28.3%). Generally, overweight and obesity combined was higher in older age groups and males. Comparisons with the CCHS-Nutrition did not yield unexplainable differences between surveys.

conclusionsCombining three CHMS cycles can produce estimates of overweight and obesity in populations representative of Ontario and Quebec. As new CHMS data are collected, these estimates can be updated and used to evaluate trends.

Indexed as

Body Mass IndexAdolescentAdultAgedAge DistributionChildCross-Sectional StudiesHealth SurveysHumansMiddle AgedObesityOntarioOverweightPrevalenceQuebecSex Distributionepidemiologypreventive medicinepublic health

Identifiers

PMID30185572
PMCPMC6129092

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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.