Evidence map›Paper›PMID 24354824›Full record

ArticleAmerican journal of public health2014

A quasi-experimental analysis of maternal altitude exposure and infant birth weight.

Sammy Zahran, Ian M Breunig, Bruce G Link, Jeffrey G Snodgrass, Stephan Weiler

Abstract read
In one paragraph

Article in American journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Fetal growth, high altitude, and evolutionary adaptation: a new perspective.American journal of physiology. Regulatory, integrative and comparative physiology · 2021
    Article
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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.

Sammy ZahranSammy Zahran and Bruce G. Link are with the Department of Epidemiology, Columbia University, Mailman School of Public Health, New York, NY. Ian M. Breunig is with the Pharmaceutical Health Services Research Department, University of Maryland, School of Pharmacy, Baltimore. Jeffrey G. Snodgrass is with the Department of Anthropology, and Stephan Weiler is with the Department of Economics, Colorado State University, Fort Collins.
Ian M Breunig
Bruce G Link
Jeffrey G Snodgrass
Stephan Weiler

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe analyzed singleton births to determine the relationship between birth weight and altitude exposure.

methodsWe analyzed 715,213 singleton births across 74 counties from the western states of Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, and Washington from January 1, 2000, to December 31, 2000. Birth data were obtained from the Division of Vital Statistics, National Center for Health Statistics, for registered births.

resultsRegression analyses supported previous research by showing that a 1000-meter increase in maternal altitude exposure in pregnancy was associated with a 75.9-gram reduction in birth weight (95% confidence interval = -84.1, -67.6). Quantile regression models indicated significant and near-uniform depressant effects from altitude exposure across the conditional distribution of birth weight. Bivariate sample-selection models showed that a 1000-meter increase in altitude exposure, over and above baseline residential altitude, decreased birth weight by an additional 58.8 grams (95% confidence interval = -98.4, -19.2).

conclusionsBecause of calculable health care-related costs associated with lower birth weight, our reported results might be of interest to clinicians practicing at higher altitudes.

Indexed as

AltitudeBirth WeightAdolescentAdultFemaleHumansLeast-Squares AnalysisMaternal ExposureMiddle AgedPregnancyRegression AnalysisUnited StatesYoung Adult

Identifiers

PMID24354824
PMCPMC4011114

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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.