Evidence map›Paper›PMID 27612934›Full record

ArticleBMC public health2016

The social patterning of risk factors for noncommunicable diseases in five countries: evidence from the modeling the epidemiologic transition study (METS).

Silvia Stringhini, Terrence E Forrester, Jacob Plange-Rhule, Estelle V Lambert, Bharathi Viswanathan, Walter Riesen, Wolfgang Korte, Naomi Levitt, Liping Tong, Lara R Dugas and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
7.7field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

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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

14 authors at 7 institutions in 6 countries.

Silvia StringhiniUniversity Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Biopôle 2, Route de la Corniche 10, 1010, Lausanne, Switzerland. silvia.stringhini@chuv.ch.
Terrence E ForresterTropical Medicine Research Institute, University of the West Indies, Mona, Kingston, Jamaica.
Jacob Plange-RhuleKwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Estelle V LambertResearch Unit for Exercise Science and Sports Medicine, University of Cape Town, Cape Town, South Africa.
Bharathi ViswanathanMinistry of Health, Victoria, Republic of Seychelles.
Walter RiesenCenter for Laboratory Medicine, Canton Hospital, St. Gallen, Switzerland.
Wolfgang KorteCenter for Laboratory Medicine, Canton Hospital, St. Gallen, Switzerland.
Naomi LevittChronic Disease Initiative in Africa, Department of Medicine, University of CapeTown, Cape Town, South Africa.
Liping TongStritch School of Medicine, Loyola University Chicago, Maywood, IL, USA.
Lara R DugasStritch School of Medicine, Loyola University Chicago, Maywood, IL, USA.
David ShohamStritch School of Medicine, Loyola University Chicago, Maywood, IL, USA.
Ramon A Durazo-ArvizuStritch School of Medicine, Loyola University Chicago, Maywood, IL, USA.
Amy LukeStritch School of Medicine, Loyola University Chicago, Maywood, IL, USA.
Pascal BovetUniversity Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Biopôle 2, Route de la Corniche 10, 1010, Lausanne, Switzerland.
Loyola University Chicago · USInstitute of Social and Preventive Medicine · CHUniversity of Cape Town · ZAUniversity of St. Gallen · CHKwame Nkrumah University of Science and Technology · GHMinistry of Health · SCUniversity of the West Indies System · JM

Funding

Modeling the epidemiologic transition: Energy expenditure, obesity and diabetesR01DK080763 · NIDDK · LOYOLA UNIVERSITY CHICAGO · PI LUKE, AMY H · 2009 to 2012
$2.4M
NIDDK NIH HHS R01 DK080763
6 · The paper itself

Abstract

backgroundAssociations between socioeconomic status (SES) and risk factors for noncommunicable diseases (NCD-RFs) may differ in populations at different stages of the epidemiological transition. We assessed the social patterning of NCD-RFs in a study including populations with different levels of socioeconomic development.

methodsData on SES, smoking, physical activity, body mass index, blood pressure, cholesterol and glucose were available from the Modeling the Epidemiologic Transition Study (METS), with about 500 participants aged 25-45 in each of five sites (Ghana, South Africa, Jamaica, Seychelles, United States).

resultsThe prevalence of NCD-RFs differed between these populations from five countries (e.g., lower prevalence of smoking, obesity and hypertension in rural Ghana) and by sex (e.g., higher prevalence of smoking and physical activity in men and of obesity in women in most populations). Smoking and physical activity were associated with low SES in most populations. The associations of SES with obesity, hypertension, cholesterol and elevated blood glucose differed by population, sex, and SES indicator. For example, the prevalence of elevated blood glucose tended to be associated with low education, but not with wealth, in Seychelles and USA. The association of SES with obesity and cholesterol was direct in some populations but inverse in others.

conclusionsIn conclusion, the distribution of NCD-RFs was socially patterned in these populations at different stages of the epidemiological transition, but associations between SES and NCD-RFs differed substantially according to risk factor, population, sex, and SES indicator. These findings emphasize the need to assess and integrate the social patterning of NCD-RFs in NCD prevention and control programs in LMICs.

Indexed as

AdultBlood PressureCholesterolChronic DiseaseDeveloping CountriesEpidemiologic StudiesExerciseFemaleHumansHypertensionMaleMiddle AgedObesityPrevalenceRisk FactorsRural PopulationCholesterolHypertensionLow and middle income countriesNoncommunicable diseasesObesityPhysical activityRisk factorsSmokingSocioeconomic status

Identifiers

PMID27612934
PMCPMC5017030
OpenAlexW2509886169

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.