Evidence map›Paper›PMID 25566947›Full record

ArticleCommunity mental health journal2015

Previous Homelessness as a Risk Factor for Recovery from Serious Mental Illnesses.

Jennifer Castellow, Bret Kloos, Greg Townley

Abstract read
PubMed Publisher
In one paragraph

Article in Community mental health journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. How Feasible is Multiple Time Point Web-Based Data Collection with Individuals Experiencing Street Homelessness?Journal of urban health : bulletin of the New York Academy of Medicine · 2017
    Article
  11. 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.

Jennifer CastellowDepartment of Psychology, University of South Carolina, 1512 Pendleton Street, Columbia, SC, 29208, USA, castellj@email.sc.edu.
Bret Kloos
Greg Townley

Funding

Housing, Adaptive Functioning, &Serious Mental IllnessK23MH065439 · NIMH · YALE UNIVERSITY · PI KLOOS, BRET R · 2002 to 2006
$786k
NIMH NIH HHS K23 MH65439
6 · The paper itself

Abstract

This paper argues that the experience of homelessness is inherently traumatic and thus has the potential to affect the manifestation of mental illness. The experiences related to being homeless might act as specific and unique sources of vulnerability. This study included 424 people diagnosed with serious mental illnesses living in supported housing programs in South Carolina. Three hierarchical regression analyses measuring the impact of homelessness on three types of outcomes revealed the following: (1) ever experiencing homelessness as well as the amount of time spent homeless were related to higher levels of psychiatric distress, (2) ever experiencing homelessness was related to higher levels of reported alcohol use, and (3) total amount of time spent homeless was related to lower perceived recovery from mental illness. These findings suggest that experiencing homelessness might contribute to psychosocial vulnerability to negative mental health outcomes. Future investigations examining this concept of risk and vulnerability as a result of homelessness are in order.

Indexed as

AdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansIll-Housed PersonsMaleMental DisordersMiddle AgedPublic HousingRegression AnalysisRetrospective StudiesRisk FactorsSelf ReportSeverity of Illness Index

Identifiers

What OpenQuestion holds

Textmetadata
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.