Evidence map›Paper›PMID 26640817›Full record

ArticleInternational journal of nursing (New York, N.Y.)2015

Multimorbidity in a Mexican Community: Secondary Analysis of Chronic Illness and Depression Outcomes.

Kathleen O'Connor, Maricarmen Vizcaino, Jorge M Ibarra, Hector Balcazar, Eduardo Perez, Luis Flores, Robert L Anders

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of nursing (New York, N.Y.), 2015. 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
0.7field-weighted citation impact, top 26% of its field
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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. 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

7 authors at 3 institutions in 2 countries.

Kathleen O'ConnorStudent co-author. University of Texas, El Paso, Interdisciplinary PhD Program, College of Health Sciences, 500 University, El Paso TX 79968.
Maricarmen VizcainoStudent co-author. University of Texas, El Paso, Interdisciplinary PhD Program, College of Health Sciences, 500 University, El Paso TX 79968.
Jorge M IbarraAdjunct Faculty, University of Texas, El Paso, School of Nursing and Statistical Consulting Laboratory, 500 University, El Paso TX 79968.
Hector BalcazarRegional Dean, The University of Texas School of Public Health at Houston El Paso Regional Campus, 1101 N. Campbell, CH 410, El Paso, Texas 79902.
Eduardo PerezUniversidad Autónoma de Ciudad Juárez; Juárez, Chihuahua, Mexico.
Luis FloresInstituto Mexicano de Seguridad Social; Juárez, Chihuahua, Mexico.
Robert L AndersUniversity of Texas, El Paso, School of Nursing, 500 University, El Paso TX 79968.
The University of Texas at El Paso · USMexican Social Security Institute · MXUniversidad Autónoma de Ciudad Juárez · MX

Funding

Specific Language Impairment in Pre-school Age Hispanic ChildrenP20MD000548 · NIMHD · UNIVERSITY OF TEXAS EL PASO · PI JENKINS, TERRILYN F. · 2003 to 2007
$4.1M
NIMHD NIH HHS P20 MD000548
6 · The paper itself

Abstract

The aims of this article are: 1) to examine the associations between health provider-diagnosed depression and multimorbidity, the condition of suffering from more than two chronic illnesses; 2) to assess the unique contribution of chronic illness in the prediction of depression; and 3) to suggest practice changes that would address risk of depression among individuals with chronic illnesses. Data collected in a cross-sectional community health study among adult Mexicans (

Indexed as

chronic illnessdepressionevidence-based practiceHispanicsmultimorbidity

Identifiers

PMID26640817
PMCPMC4667743
OpenAlexW2416870474

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.