Evidence map›Paper›PMID 26601845›Full record

ArticleJournal of community health2016

The Effect of Changes in Health Beliefs Among African-American and Rural White Church Congregants Enrolled in an Obesity Intervention: A Qualitative Evaluation.

Diane J Martinez, Monique M Turner, Mandi Pratt-Chapman, Kanako Kashima, Margaret K Hargreaves, Mark B Dignan, James R Hébert

Abstract read
In one paragraph

Article in Journal of community health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Focus on disability-free life expectancy: implications for health-related quality of life.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
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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 5 institutions in 1 country.

Diane J MartinezDepartment of Prevention and Community Health, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA. Dmartinez15@gwu.edu.
Monique M TurnerDepartment of Prevention and Community Health, The Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA.
Mandi Pratt-ChapmanThe George Washington University, GW Cancer Institute, Washington, DC, 20036, USA.
Kanako KashimaThe George Washington University, GW Cancer Institute, Washington, DC, 20036, USA.
Margaret K HargreavesMeharry Medical College, Nashville, TN, 37208, USA.
Mark B DignanDepartment of Internal Medicine, University of Kentucky, Lexington, KY, 40536, USA.
James R HébertDepartment of Epidemiology and Biostatistics and Cancer Prevention and Control Program, University of South Carolina, Columbia, SC, 29208, USA.
George Washington University · USMilken Institute · USMeharry Medical College · USUniversity of Kentucky · USUniversity of South Carolina · US

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Jennifer F Rogers · 2013 to 2026
$38.3M
Training ProgramU54CA153708 · NCI · MEHARRY MEDICAL COLLEGE · PI HARGREAVES, MARGARET KIRKCALDY · 2010 to 2015
$4.6M
DC City-wide Patient Navigation Research ProgramU01CA116937 · NCI · GEORGE WASHINGTON UNIVERSITY · PI PATIERNO, STEVEN R · 2005 to 2011
$4.1M
NCI NIH HHS P30 CA177558NCI NIH HHS U01 CA116937NCI NIH HHS U54 CA153708
6 · The paper itself

Abstract

Church interventions can reduce obesity disparities by empowering participants with knowledge and skills within an established community. The purpose of this study was to evaluate the Biomedical/Obesity Reduction Trial (BMORe) and investigate changes in health beliefs among obese adult participants. Ten pre-/post-intervention focus groups applying the Health Belief Model conducted in two African-American churches in Tennessee (n = 20) and South Carolina (n = 20), and one rural Appalachian church in Kentucky (n = 21). Two independent coders using NVivo analyzed transcribed audio data and notes. Participants' health status of being overweight/obese and having comorbidities of diabetes and high blood pressure motivated enrollment in BMORe. Initially participants voiced low self-efficacy in cooking healthy and reading food labels. BMORe made participants feel "empowered" after 12 weeks compared to initially feeling "out of control" with their weight. Participants reported improvements in emotional health, quality of life, and fewer medications. During post-intervention focus groups, participants reported increased self-efficacy through family support, sharing healthy eating strategies, and having accountability partners. Solidarity and common understanding among BMORe participants led focus group attendees to comment how their peers motivated them to stay in the program for 12 weeks. Long-term barriers include keeping the weight off by maintaining habits of exercise and healthy eating. Implementation of pre-/post-intervention focus groups is an innovative approach to evaluate an obesity intervention and track how changes in health beliefs facilitated behavior change. This novel approach shows promise for behavioral interventions that rely on participant engagement for sustained effectiveness.

Indexed as

Black or African AmericanHealth BehaviorHealth Knowledge, Attitudes, PracticeObesityWhite PeopleAdolescentAdultAgedFemaleHealth PromotionHumansKentuckyMaleMiddle AgedOverweightQualitative ResearchAfrican-AmericansHealth knowledge, attitudes, practiceObesityRural health

Identifiers

PMID26601845
PMCPMC4844792
OpenAlexW2172683871

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.