Evidence map›Paper›PMID 30832623›Full record

ArticleBMC public health2019

Within-country migration and obesity dynamics: analysis of 94,783 women from the Peruvian demographic and health surveys.

Hector Najera, Shailen Nandy, Rodrigo M Carrillo-Larco, J Jaime Miranda

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Hector NajeraUniversity of Bristol, Bristol, UK.
Shailen NandyCardiff University, Cardiff, UK. NandyS1@cardiff.ac.uk.ORCID http://orcid.org/0000-0003-1066-9181
Rodrigo M Carrillo-LarcoCRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.
J Jaime MirandaCRONICAS Centre of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima, Peru.

Funding

Household Air Pollution and Health: A Multi-Country LPG Intervention TrialUM1HL134590 · NHLBI · EMORY UNIVERSITY · PI CHECKLEY, WILLIAM, CLASEN, THOMAS F · 2016 to 2021
$31.1M
Latin America Treatment & Innovation Network in Mental Health (LATIN-MH)U19MH098780 · NIMH · FUNDACAO FACULDADE DE MEDICINA · PI ARAYA, RICARDO, MENEZES, PAULO ROSSI · 2013 to 2017
$2.7M
Launching a salt substitute to reduce blood pressure at the population level-PeruU01HL114180 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI GILMAN, ROBERT H · 2012 to 2016
$2.0M
Building sustainable and innovative research in Cancer and Cardiovascular disease: Planning the design and development of the South American Center of Research Excellence to Counter NCDs (SACREN)P20CA217231 · NCI · INSTITUTO DE EFECTIVIDAD CLINICA Y SANIT · PI IRAZOLA, VILMA · 2017 to 2018
$497k
Implementation of foot thermometry and SMS to prevent diabetic foot ulcerR21TW009982 · FIC · UNIVERSIDAD PERUANA CAYETANO HEREDIA · PI MIRANDA, J JAIME · 2014 to 2015
$329k
Planning to Establish a Regional Center of NCD Research Training in PeruD71TW010877 · FIC · UNIVERSIDAD PERUANA CAYETANO HEREDIA · PI MIRANDA, J JAIME · 2017 to 2017
$50k
ANTI-TUMOR EFFECTS OF ANTI-IDIOTYPE ANTIBODIESF32CA007405 · NCI · STANFORD UNIVERSITY · PI KAMINSKI, MARK S. · 1985 to 1985
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FIC NIH HHS D71 TW010877FIC NIH HHS D71TW010877FIC NIH HHS R21 TW009982FIC NIH HHS R21TW009982Medical Research Council MR/M007405/1NCI NIH HHS 1P20CA217231NCI NIH HHS P20 CA217231NHLBI NIH HHS 5U01HL114180NHLBI NIH HHS HHSN268200900033CNHLBI NIH HHS U01 HL114180NHLBI NIH HHS UM1 HL134590NIMH NIH HHS U19 MH098780Wellcome TrustWellcome Trust 205177/Z/16/Z
6 · The paper itself

Abstract

backgroundRural-to-urban migration is associated with increased obesity, yet it remains unknown whether this association exist, and to what extent, with other types of internal migration.

methodsWe conducted a secondary analysis of the Peruvian Demographic and Health Surveys (2005 to 2012) on data collected from women aged 15-49 years. Participants were classified as rural stayers, urban stayers, rural-to-urban migrants, intra-rural migrants, intra-urban migrants, and urban-to-rural migrants. Marginal effects from a logit regression model were used to assess the probabilities of being and becoming obese given both the length of time in current place of residence and women's migration status.

resultsAnalysis of cross-sectional survey data generated between 2005 and 2012. Data from 94,783 participants was analyzed. Intra-urban migrants and rural-to-urban migrants had the highest rates of obesity (21% in 2012). A steady increase in obesity is observed across all migration statuses. Relative to rural non-migrants, participants exposed to urban environments had greater odds, two- to three-fold higher, of obesity. The intra-rural migrant group also shows higher odds relative to rural stayers (42% higher obesity odds). The length of exposure to urban settings shows a steady effect over time.

conclusionBoth exposure to urban environments and migration are associated with higher odds of obesity. Expanding the characterization of within-country migration dynamics provides a better insight into the relationship between duration of exposure to urban settings and obesity.

Indexed as

AdolescentAdultCross-Sectional StudiesDemographyFemaleHumansMiddle AgedObesityPeruPopulation DynamicsRural PopulationTransients and MigrantsUrbanizationUrban PopulationWomen's HealthYoung AdultDemographic and health surveysMigrationObesityUrbanization

Identifiers

PMID30832623
PMCPMC6399820

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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.