Evidence map›Paper›PMID 31296262›Full record

ArticleBMC research notes2019

Household migration and children's diet in Nepal: an exploratory study.

Yubraj Acharya, Dirgha J Ghimire, Prem Bhandari, Ramesh Ghimire, Andrew D Jones

Abstract read
In one paragraph

Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Yubraj AcharyaDepartment of Health Policy and Administration, The Pennsylvania State University, 601L Ford Building, University Park, PA, 16802, USA. yua36@psu.edu.ORCID http://orcid.org/0000-0002-9003-636X
Dirgha J GhimireThe Institute for Social and Environmental Research, Chitwan, Nepal.
Prem BhandariThe Institute for Social and Environmental Research, Chitwan, Nepal.
Ramesh GhimireDepartment of Development Studies, Kathmandu University, Kathmandu, Nepal.
Andrew D JonesDepartment of Nutritional Sciences, University of Michigan, School of Public Health, Ann Arbor, USA.

Funding

Scientific/Technical CoreP2CHD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 2017 to 2026
$6.5M
NICHD NIH HHS P2C HD041028
6 · The paper itself

Abstract

objectiveIndividuals from low-income countries often migrate abroad for employment. The association between such migration and investment in education as well as other societal and familial outcomes has previously been examined. However, we have a limited understanding of the association between migration and children's nutrition. We aim to determine the extent to which migration of household members influences children's diet in a semi-urban region of Nepal.

resultsIn our study setting, children in households with a migrant had higher dietary diversity scores, 0.69 on average, than their counterparts in households without a migrant. These children were approximately 43% points more likely to meet a minimum requirement for dietary diversity. These differences originated primarily from higher consumption of meat (41% points) and eggs (20% points). Approximately 37 percent of children in the sample consumed processed food during the 24 h preceding the survey. However, we found no evidence that migration was associated with the consumption of processed foods or with reduced frequency of breastfeeding. Our finding that migration is associated with higher consumption of meat and eggs is particularly encouraging, given that the protein deficiency in Nepal is estimated to be nearly 43 percent.

Indexed as

DietNutritional StatusChild, PreschoolEmigration and ImmigrationFamily CharacteristicsFemaleFood SupplyHumansInfantInfant Nutritional Physiological PhenomenaMaleNepalRural PopulationTransients and MigrantsUrban PopulationDietary diversityMigrationNepal

Identifiers

PMID31296262
PMCPMC6625056

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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.