Evidence mapPaperPMID 24516093Full record

ArticleCMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne2014

The association between ownership of common household devices and obesity and diabetes in high, middle and low income countries.

Scott A Lear, Koon Teo, Danijela Gasevic, Xiaohe Zhang, Paul P Poirier, Sumathy Rangarajan, Pamela Seron, Roya Kelishadi, Azmi Mohd Tamil, Annamarie Kruger and 16 more

Erratum issued Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT03225586 (Prospective Urban Rural Epidemiology Study), which is not on this map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
10.9field-weighted citation impact, top 1% 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.

NCT03225586 recruitingnot on this map

Prospective Urban Rural Epidemiology Study

TypeobservationalSponsorPopulation Health Research InstituteRan2002 to 2030Enrolled200,000ConditionsCardiovascular Diseases, Risk Factor, Cardiovascular, Health Behavior, Environmental Exposure
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 75 citations in OpenAlex.

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  11. Prevalence and Risk Factors of Hypertension Among Young Adults in Albania.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 18 institutions in 17 countries.

Scott A Lear
Koon Teo
Danijela Gasevic
Xiaohe Zhang
Paul P Poirier
Sumathy Rangarajan
Pamela Seron
Roya Kelishadi
Azmi Mohd Tamil
Annamarie Kruger
Romaina Iqbal
Hani Swidan
Diego Gómez-Arbeláez
Rita Yusuf
Jephat Chifamba
V Raman Kutty
Kubilay Karsıdag
Rajesh Kumar
Wei Li
Andrzej Szuba
Alvaro Avezum
Rafael Diaz
Sonia S Anand
Annika Rosengren
Salim Yusuf
Prospective Urban Rural Epidemiology (PURE) study
McMaster University · CASimon Fraser University · CAAga Khan University · TZChinese Academy of Medical Sciences & Peking Union Medical College · CNDubai Health Authority · AEEstudios Clínicos Latinoamérica · ARIndependent University · BDInstituto Dante Pazzanese de Cardiologia · BRIsfahan University of Medical Sciences · IRIstanbul University · TRNorth-West University · ZASree Chitra Thirunal Institute for Medical Sciences and Technology · INUniversidad de La Frontera · CLUniversidad de Santander · PAUniversité Laval · CAUniversity of Gothenburg · SEUniversity of Zimbabwe · ZWWroclaw Medical University · PL

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

backgroundHousehold devices (e.g., television, car, computer) are common in high income countries, and their use has been linked to obesity and type 2 diabetes mellitus. We hypothesized that device ownership is associated with obesity and diabetes and that these effects are explained through reduced physical activity, increased sitting time and increased energy intake.

methodsWe performed a cross-sectional analysis using data from the Prospective Urban Rural Epidemiology study involving 153,996 adults from high, upper-middle, lower-middle and low income countries. We used multilevel regression models to account for clustering at the community and country levels.

resultsOwnership of a household device increased from low to high income countries (4% to 83% for all 3 devices) and was associated with decreased physical activity and increased sitting, dietary energy intake, body mass index and waist circumference. There was an increased odds of obesity and diabetes with the ownership of any 1 household device compared to no device ownership (obesity: odds ratio [OR] 1.43, 95% confidence interval [CI] 1.32-1.55; diabetes: OR 1.38, 95% CI 1.28-1.50). Ownership of a second device increased the odds further but ownership of a third device did not. Subsequent adjustment for lifestyle factors modestly attenuated these associations. Of the 3 devices, ownership of a television had the strongest association with obesity (OR 1.39, 95% CI 1.29-1.49) and diabetes (OR 1.33, 95% CI 1.23-1.44). When stratified by country income level, the odds of obesity and diabetes when owning all 3 devices was greatest in low income countries (obesity: OR 3.15, 95% CI 2.33-4.25; diabetes: OR 1.97, 95% CI 1.53-2.53) and decreased through country income levels such that we did not detect an association in high income countries.

interpretationThe ownership of household devices increased the likelihood of obesity and diabetes, and this was mediated in part by effects on physical activity, sitting time and dietary energy intake. With increasing ownership of household devices in developing countries, societal interventions are needed to mitigate their effects on poor health.

Indexed as

AutomobilesComputersMotor ActivityOwnershipTelevisionAdultAgedAnthropometryCross-Sectional StudiesDemographyDeveloped CountriesDeveloping CountriesDiabetes Mellitus, Type 2Energy IntakeFemaleHumans

Identifiers

PMID24516093
PMCPMC3940572
OpenAlexW2132373753

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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 Socratic graph.