Evidence map›Paper›PMID 32801411›Full record

ArticlePopulation and environment2020

Contextual Data in IPUMS DHS: Physical and Social Environment Variables linked to the Demographic and Health Surveys.

Elizabeth Heger Boyle, Miriam L King, Sarah Garcia, Corey Culver, Jordan Boudreiux

Abstract read
In one paragraph

Article in Population and environment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

5 authors.

Elizabeth Heger BoyleSociology Department, 909 Social Sciences Building, University of Minnesota, 267 19th Avenue South, Minneapolis, MN 55455; 612-624-3343.
Miriam L KingInstitute for Social Research and Data Innovation, University of Minnesota, Minneapolis, MN 55455.
Sarah GarciaSociology Department, 909 Social Sciences Building, University of Minnesota, 267 19th Avenue South, Minneapolis, MN 55455.
Corey CulverSociology Department, 909 Social Sciences Building, University of Minnesota, 267 19th Avenue South, Minneapolis, MN 55455.
Jordan BoudreiuxSociology Department, 909 Social Sciences Building, University of Minnesota, 267 19th Avenue South, Minneapolis, MN 55455.

Funding

IPUMS Demographic and Health SurveysR01HD069471 · NICHD · UNIVERSITY OF MINNESOTA · PI Elizabeth H Boyle, MIRIAM L KING · 2012 to 2026
$9.6M
Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
NICHD NIH HHS P2C HD041023NICHD NIH HHS R01 HD069471
6 · The paper itself

Abstract

The Demographic and Health Surveys (DHS) are the most important source of comparative information on the health of women and young children in low- and middle-income countries and are well-suited for studies of the relationship between environmental factors and health. However, barriers have limited the use of the DHS for these purposes. IPUMS DHS, an online data dissemination tool, overcomes these barriers, simplifying comparative analyses with DHS. IPUMS DHS recently incorporated environmental variables that can easily be attached to individual or household records, facilitating the use of DHS data for the study of population and environment issues. We provide a brief introduction to IPUMS DHS, describe the current and anticipated environmental variables and how to use them, and provide an example of the novel research possibilities facilitated by this latest IPUMS DHS development. IPUMS-DHS is available free online at dhs.ipums.org.

Indexed as

contextdataDemographic and Health Surveyshealthpopulation

Identifiers

PMID32801411
PMCPMC7428161

What OpenQuestion holds

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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.