Evidence map›Paper›PMID 19263970›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique

The geography of overweight in Quebec: a multilevel perspective.

Alexandre Lebel, Robert Pampalon, Denis Hamel, Marius Thériault

Abstract read
In one paragraph

Article in Canadian journal of public health = Revue canadienne de sante publique. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  4. The influence of place on weight gain during early childhood: a population-based, longitudinal study.Journal of urban health : bulletin of the New York Academy of Medicine · 2013
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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.

Alexandre LebelCentre de recherche en aménagement et développement, Université Laval, Québec, QC. alexandre.lebel.1@ulaval.ca
Robert Pampalon
Denis Hamel
Marius Thériault

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesExplore the contextual aspects of overweight in Quebec through multilevel modelling, using a purposely designed set of spatial units and a few area-based characteristics.

methodsData came from the Canadian Community Health Survey (CCHS Cycle 2.1). Multilevel logistic regressions were performed to test for the presence of an independent contextual effect on overweight and obesity (BMI > or = 25 kg/m2), separately for men and women. Modelling considered individual attributes, including some lifestyle aspects, and contextual characteristics. A geographic grid integrating spatial elements related to overweight and obesity in the literature was developed. Also, an area-level residuals analysis was carried out to identify spatial units presenting higher or lower odds of being overweight.

resultsAfter accounting for individual and area-level characteristics, there remain significant geographic variations in overweight in Quebec. Although this contextual effect is small for men and women, many spatial units differ significantly from the provincial average. There are differences between the geography of overweight in men and women which suggest that socio-economic mechanisms and land use patterns underlying overweight might be different between genders. Also, there is considerable variability within rural and urban areas.

conclusionA complex geography of overweight is revealed. Small-scale studies, as well as methodological and data developments, are needed to deepen our understanding of this geography.

Indexed as

Health SurveysResidence CharacteristicsAdolescentAdultAgedDemographyFemaleHumansLife StyleLogistic ModelsMaleMiddle AgedOverweightPopulation SurveillanceQuebecRural Health

Identifiers

PMID19263970
PMCPMC6973975

What OpenQuestion holds

Textmetadata
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Registered trials

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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.