Evidence map›Paper›PMID 25849356›Full record

ArticlePloS one2015

Rural, urban and migrant differences in non-communicable disease risk-factors in middle income countries: a cross-sectional study of WHO-SAGE data.

Oyinlola Oyebode, Utz J Pape, Anthony A Laverty, John T Lee, Nandita Bhan, Christopher Millett

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 4 pooled it
16.5field-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.

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

51 citing papers in PubMed, 4 syntheses or guidelines pooled it, 99 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

6 authors at 2 institutions in 2 countries.

Oyinlola OyebodeDepartment of Primary Care and Public Health, Imperial College, Reynolds Building, St Dunstand's Road, London, United Kingdom.
Utz J PapeDepartment of Primary Care and Public Health, Imperial College, Reynolds Building, St Dunstand's Road, London, United Kingdom.
Anthony A LavertyDepartment of Primary Care and Public Health, Imperial College, Reynolds Building, St Dunstand's Road, London, United Kingdom.
John T LeeDepartment of Primary Care and Public Health, Imperial College, Reynolds Building, St Dunstand's Road, London, United Kingdom.
Nandita BhanPublic Health Foundation of India, New Delhi, India.
Christopher MillettDepartment of Primary Care and Public Health, Imperial College, Reynolds Building, St Dunstand's Road, London, United Kingdom; Public Health Foundation of India, New Delhi, India.
Imperial College London · GBPublic Health Foundation of India · IN

Funding

Department of Health RP_2014-04-032PEPFAR 084674/Z/08/ZWellcome TrustWellcome Trust 084754/Z/08/A
6 · The paper itself

Abstract

backgroundUnderstanding how urbanisation and rural-urban migration influence risk-factors for non-communicable disease (NCD) is crucial for developing effective preventative strategies globally. This study compares NCD risk-factor prevalence in urban, rural and migrant populations in China, Ghana, India, Mexico, Russia and South Africa.

methodsStudy participants were 39,436 adults within the WHO Study on global AGEing and adult health (SAGE), surveyed 2007-2010. Risk ratios (RR) for each risk-factor were calculated using logistic regression in country-specific and all country pooled analyses, adjusted for age, sex and survey design. Fully adjusted models included income quintile, marital status and education.

resultsRegular alcohol consumption was lower in migrant and urban groups than in rural groups (pooled RR and 95%CI: 0.47 (0.31-0.68); 0.58, (0.46-0.72), respectively). Occupational physical activity was lower (0.86 (0.72-0.98); 0.76 (0.65-0.85)) while active travel and recreational physical activity were higher (pooled RRs for urban groups; 1.05 (1.00-1.09), 2.36 (1.95-2.83), respectively; for migrant groups: 1.07 (1.0 -1.12), 1.71 (1.11-2.53), respectively). Overweight, raised waist circumference and diagnosed diabetes were higher in urban groups (1.19 (1.04-1.35), 1.24 (1.07-1.42), 1.69 (1.15-2.47), respectively). Exceptions to these trends exist: obesity indicators were higher in rural Russia; active travel was lower in urban groups in Ghana and India; and in South Africa, urban groups had the highest alcohol consumption.

conclusionMigrants and urban dwellers had similar NCD risk-factor profiles. These were not consistently worse than those seen in rural dwellers. The variable impact of urbanisation on NCD risk must be considered in the design and evaluation of strategies to reduce the growing burden of NCDs globally.

Indexed as

AgingAdolescentAdultCross-Sectional StudiesDeveloped CountriesFeeding BehaviorFemaleHuman MigrationHumansMaleMiddle AgedObesityRisk FactorsRural PopulationSmokingTransients and Migrants

Identifiers

PMID25849356
PMCPMC4388413
OpenAlexW2002114802

What OpenQuestion holds

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LicenceCC BY
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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.