Evidence map›Paper›PMID 34600524›Full record

ArticleBMC public health2021

The mediating/moderating role of cultural context factors on self-care practices among those living with diabetes in rural Appalachia.

Brittany L Smalls, Adebola Adegboyega, Ellen Combs, Matthew Rutledge, Philip M Westgate, Md Tofial Azam, Felipe De La Barra, Lovoria B Williams, Nancy E Schoenberg

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03474731 (Clinic to Community Navigation to Improve Diabetes Outcomes), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 39% 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.

NCT03474731 nacompletednot on this map

Clinic to Community Navigation to Improve Diabetes Outcomes

TypeinterventionalSponsorNancy SchoenbergRan2018 to 2023Enrolled701ConditionsDiabetes MellitusArmsDiabetes Self-Management Program (DSMP), Tailored Patient Navigation (PN) only, DSMP AND Tailored Patient Navigation, Diabetes Self-Management Program (DSMP) Delayed
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 1 institution in 1 country.

Brittany L SmallsDepartment of Family and Community Medicine, College of Medicine, University of Kentucky, 2195 Harrodsburg Road, Suite 125, Lexington, KY, 40504, USA. Brittany.smalls@uky.edu.ORCID 0000-0003-3727-346X
Adebola AdegboyegaDepartment of Statistics, College of Arts and Science, University of Kentucky, 725 Rose Street, Multidisciplinary Science Building 0082, Room 303, Lexington, KY, 40536, USA.
Ellen CombsDepartment of Family and Community Medicine, College of Medicine, University of Kentucky, 2195 Harrodsburg Road, Suite 125, Lexington, KY, 40504, USA.
Matthew RutledgeCenter for Health Equity Transformation, College of Medicine, University of Kentucky, 372 Healthy Kentucky Building, Lexington, KY, 40536, USA.
Philip M WestgateDepartment of Biostatistics, College of Public Health, University of Kentucky, 725 Rose Street, MDS 205, Lexington, KY, 40536, USA.
Md Tofial AzamDepartment of Biostatistics, College of Public Health, University of Kentucky, 725 Rose Street, MDS 205, Lexington, KY, 40536, USA.
Felipe De La BarraUniversity of Kentucky College of Medicine, William R. Willard Education Building, MN 150, Lexington, KY, 40536, USA.
Lovoria B WilliamsCenter for Health Equity Transformation, College of Medicine, University of Kentucky, 372 Healthy Kentucky Building, Lexington, KY, 40536, USA.
Nancy E SchoenbergCenter for Health Equity Transformation, College of Medicine, University of Kentucky, 372 Healthy Kentucky Building, Lexington, KY, 40536, USA.
University of Kentucky · US

Funding

Community to Clinic Navigation to Improve Diabetes OutcomesR01DK112136 · NIDDK · UNIVERSITY OF KENTUCKY · PI SCHOENBERG, NANCY E. · 2017 to 2021
$3.1M
NIDDK NIH HHS 1R01DK112136NIDDK NIH HHS R01 DK112136
6 · The paper itself

Abstract

backgroundThe aim of this study was to examine whether cultural factors, such as religiosity and social support, mediate/moderate the relationship between personal/psychosocial factors and T2DM self-care in a rural Appalachian community.

methodsRegression models were utilized to assess for mediation and moderation. Multilevel linear mixed effects models and GEE-type logistic regression models were fit for continuous (social support, self-care) and binary (religiosity) outcomes, respectively.

resultsThe results indicated that cultural context factors (religiosity and social support) can mediate/moderate the relationship between psychosocial factors and T2DM self-care. Specifically, after adjusting for demographic variables, the findings suggested that social support may moderate the effect of depressive symptoms and stress on self-care. Religiosity may moderate the effect of distress on self-care, and empowerment was a predictor of self-care but was not mediated/moderated by the assessed cultural context factors. When considering health status, religiosity was a moderately significant predictor of self-care and may mediate the relationship between perceived health status and T2DM self-care.

conclusionsThis study represents the first known research to examine cultural assets and diabetes self-care practices among a community-based sample of Appalachian adults. We echo calls to increase the evidence on social support and religiosity and other contextual factors among this highly affected population.

trial registrationUS National Library of Science identifier NCT03474731. Registered March 23, 2018, www.clinicaltrials.gov .

Indexed as

Diabetes MellitusSelf CareAdultHealth StatusHumansReligionSocial SupportReligiosityRural AppalachiaSelf-careSocial support

Identifiers

PMID34600524
PMCPMC8487504
OpenAlexW3203974619

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.