Evidence map›Paper›PMID 31279254›Full record

ArticleSocial science & medicine (1982)2019

Internal migration and child health in Malawi.

Philip Anglewicz, Rachel Kidman, Sangeetha Madhavan

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Exploring barriers to healthcare among internal and international female migrants in The Gambia.African journal of primary health care & family medicine · 2025
    Article
  3. Article
  4. Article
  5. 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

3 authors.

Philip AnglewiczJohns Hopkins Bloomberg School of Public Health, Department of Population, Family, and Reproductive Health, 615 N. Wolfe Street, 21205 Baltimore MD United States. Electronic address: panglew1@jhu.edu.
Rachel KidmanPopulation and Preventive Medicine, Department of Family, Population and Preventive Medicine, Division of Evaluative Sciences, Division of Community Health, Program in Public Health, Stony Brook, NY 11794, United States. Electronic address: Rachel.Kidman@stonybrookmedicine.edu.
Sangeetha MadhavanMaryland Population Research Center, Departments of African American Studies & Sociology, University of Maryland, 1119 Taliaferro Hall, College Park, MD 20742, United States. Electronic address: smadhava@umd.edu.

Funding

Population Science Research Center Development CoreR24HD044964 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI SMITH, HERBERT L. · 2003 to 2017
$9.8M
Sci-Tech Core-Population Dynamics Research CenterP2CHD044964 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI Xi Song · 2018 to 2026
$5.3M
Sci-Tech Core-Maryland Population Research CenterP2CHD041041 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI Susan W Parker · 2018 to 2026
$3.9M
Surviving an Epidemic: Families and Well-Being, Malawi 1998-2020R01HD087391 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI ANGLEWICZ, PHILIP ANTHONY, KOHLER, HANS-PETER · 2017 to 2022
$2.9M
Consequences of High Morbidity and Mortality in a Low-Income CountryR01HD053781 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI KOHLER, HANS-PETER · 2007 to 2011
$2.9M
AIDS/HIV RISK, Marriage and Sexual Relations in MalawiR01HD044228 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI KOHLER, HANS-PETER · 2003 to 2006
$1.6M
Migration and Health in MalawiR21HD071471 · NICHD · TULANE UNIVERSITY OF LOUISIANA · PI ANGLEWICZ, PHILIP ANTHONY, KOHLER, HANS-PETER · 2012 to 2013
$408k
Subjective Expectations and Health-Related Behavior R03HD058976 · NICHD · RAND CORPORATION · PI DELAVANDE, ADELINE · 2009 to 2010
$190k
NICHD NIH HHS P2C HD041041NICHD NIH HHS P2C HD044964NICHD NIH HHS R01 HD044228NICHD NIH HHS R01 HD053781NICHD NIH HHS R01 HD087391NICHD NIH HHS R03 HD058976NICHD NIH HHS R21 HD071471NICHD NIH HHS R24 HD044964
6 · The paper itself

Abstract

A strong and consistent association between migration and health has been found in many settings, but the overwhelming focus of this research has been on adults. In addition, identifying the effect of migration on health largely remains an unresolved challenge, due in part to the inability to distinguish between the effect of migration on health and the selection of children of differing health status into migration streams. In this research we examine the relationship between internal migration and child health in Malawi. We use longitudinal panel data with pre- and post-migration health measures for children and their mothers, which permits us to measure both migration health selection and the effect of migration on health. We also examine if child health changes over time in post-migration destinations. We do not find evidence of migration health selection: children who move have similar pre-migration health status to non-migrant children. We find that the impact of migration on child health is mediated by mothers' characteristics. Before controlling for mothers' health status, we find a strong negative impact of migration on health, particularly for children moving to rural areas or cities, and children moving due to changes in mothers' marital status. After controlling for mothers' health status, however, the negative impact of migration on child health disappears. We also find that child health is worse with longer durations spent in post-migration residence, compared to children who don't move.

Indexed as

Socioeconomic FactorsChildChild Health ServicesChild, PreschoolEmigration and ImmigrationFemaleHumansLongitudinal StudiesMalawiMalePopulation DynamicsRegression AnalysisChild healthMigrationSelection

Identifiers

PMID31279254
PMCPMC6661200

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.