Evidence map›Paper›PMID 26195105›Full record

ArticleBMC public health2015

Associations between residence at birth and mental health disorders: a spatial analysis of retrospective cohort data.

Kate Hoffman, Ann Aschengrau, Thomas F Webster, Scott M Bartell, Verónica M Vieira

Abstract read
In one paragraph

Article in BMC public health, 2015. 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.

  1. Article
  2. Article
  3. Article
  4. Prenatal environmental exposures and associations with teen births.Journal of exposure science & environmental epidemiology · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. 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.

Kate HoffmanNicholas School of the Environment, Duke University, Durham, NC, USA. kate.hoffman@duke.edu.
Ann AschengrauBoston University School of Public Health, Boston, MA, 02118, USA. aaschen@bu.edu.
Thomas F WebsterBoston University School of Public Health, Boston, MA, 02118, USA. twebster@bu.edu.
Scott M BartellProgram in Public Health, University of California, Irvine, 653 E. Peltason Drive, AIRB 2042, Irvine, CA, 92697, USA. sbartell@uci.edu.
Verónica M VieiraProgram in Public Health, University of California, Irvine, 653 E. Peltason Drive, AIRB 2042, Irvine, CA, 92697, USA. vvieira@uci.edu.

Funding

Training CoreP42ES007381 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI SHERR, DAVID H · 1995 to 2019
$46.1M
NIEHS NIH HHS 2P42ES007381-16A1NIEHS NIH HHS P42 ES007381
6 · The paper itself

Abstract

backgroundMental health disorders impact approximately one in four US adults. While their causes are likely multifactorial, prior research has linked the risk of certain mental health disorders to prenatal and early childhood environmental exposures, motivating a spatial analysis to determine whether risk varies by birth location.

methodsWe investigated the spatial associations between residence at birth and odds of depression, bipolar disorder, and post-traumatic stress disorder (PTSD) in a retrospective cohort (Cape Cod, Massachusetts, 1969-1983) using generalized additive models to simultaneously smooth location and adjust for confounders. Birth location served as a surrogate for prenatal exposure to the combination of social and environmental factors related to the development of mental illness. We predicted crude and adjusted odds ratios (aOR) for each outcome across the study area. The results were mapped to identify areas of increased risk.

resultsWe observed spatial variation in the crude odds ratios of depression that was still present even after accounting for spatial confounding due to geographic differences in the distribution of known risk factors (aOR range: 0.61-3.07, P = 0.03). Similar geographic patterns were seen for the crude odds of PTSD; however, these patterns were no longer present in the adjusted analysis (aOR range: 0.49-1.36, P = 0.79), with family history of mental illness most notably influencing the geographic patterns. Analyses of the odds of bipolar disorder did not show any meaningful spatial variation (aOR range: 0.58-1.17, P = 0.82).

conclusionSpatial associations exist between residence at birth and odds of PTSD and depression, but much of this variation can be explained by the geographic distributions of available risk factors. However, these risk factors did not account for all the variation observed with depression, suggesting that other social and environmental factors within our study area need further investigation.

Indexed as

Spatial AnalysisAdultBipolar DisorderDepressive DisorderEnvironmental ExposureFemaleHumansMaleMassachusettsMental HealthMiddle AgedPsychotic DisordersResidence CharacteristicsRetrospective StudiesRisk FactorsSocioeconomic Factors

Identifiers

PMID26195105
PMCPMC4508761

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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.