Evidence map›Paper›PMID 35195797›Full record

ArticleJournal of immigrant and minority health2022

Illness Perceptions Mediate the Impact of Depressive Symptoms on Quality of Life Among Latinos with Type 2 Diabetes.

Alexandra A García, Ya-Ching Huang, Julie A Zuñiga

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of immigrant and minority health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Alexandra A GarcíaSchool of Nursing, The University of Texas at Austin, 1710 Red River Street, Austin, TX, 78712, USA. agarcia@mail.nur.utexas.edu.ORCID http://orcid.org/0000-0003-1834-6598
Ya-Ching HuangSt. David's School of Nursing, Texas State University, 1555 University Drive, Round Rock, TX, 78665, USA.
Julie A ZuñigaSchool of Nursing, The University of Texas at Austin, 1710 Red River Street, Austin, TX, 78712, USA.
The University of Texas at Austin · USTexas State University · US

Funding

Variables predictive of self care in well elderlyP30NR005051 · NINR · UNIVERSITY OF TEXAS AUSTIN · PI STUIFBERGEN, ALEXA · 1999 to 2008
$3.9M
NINR NIH HHS P30 NR005051
6 · The paper itself

Abstract

Latinos' type 2 diabetes (T2DM) and concurrent depression significantly lower quality of life (QoL). Patients' beliefs about their diabetes, called illness perceptions (IP), may account for the impact of depression on QoL. Using secondary data, we explored predictive and mediation relationships among IP, depression, and QoL among Mexican American adults with T2DM using hierarchical multiple regression and mediation analyses. Participants (n = 75) were predominately middle-aged, female, most scoring low on depressive-symptoms, who believed that diabetes was a chronic disease with serious consequences, controllable by treatment and personal self-management. Participants with higher acculturation and weak perceptions about negative consequences of diabetes reported better QoL. Depressive symptoms' impact on QoL were mediated by overall IP and perceptions about diabetes consequences, in particular. By eliciting patients' perceptions about disease consequences and teaching realistic ways to avoid them, clinicians may alleviate the impact of depression on QoL.

Indexed as

Diabetes Mellitus, Type 2Quality of LifeAdultDepressionFemaleHumansMexican AmericansMiddle AgedSurveys and QuestionnairesDepressive symptomsIllness perceptionsLatinosQuality of lifeType 2 diabetes

Identifiers

PMID35195797
OpenAlexW4213425049

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.