Evidence map›Paper›PMID 35237841›Full record

ArticleSouthern medical journal2022

Using an Implementation Research Framework to Identify Facilitators and Barriers to Physical Activity and Weight Loss in Appalachia.

Tyra Turner, Treah Haggerty, Patricia Dekeseredy, Julie Hare, Cara L Sedney

Abstract read
In one paragraph

Article in Southern medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. A Meta-Ethnography to Determine Critical Constructs of Nutrition Security.Journal of nutrition education and behavior · 2025
    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

5 authors.

Tyra TurnerFrom Health Sciences, Departments of Family Medicine and Neurosurgery, and the Department of Neurosurgery at the Rockefeller Neuroscience Institute, West Virginia University, Morgantown, and Pocahontas Memorial Hospital, Buckeye, West Virginia.
Treah HaggertyFrom Health Sciences, Departments of Family Medicine and Neurosurgery, and the Department of Neurosurgery at the Rockefeller Neuroscience Institute, West Virginia University, Morgantown, and Pocahontas Memorial Hospital, Buckeye, West Virginia.
Patricia DekeseredyFrom Health Sciences, Departments of Family Medicine and Neurosurgery, and the Department of Neurosurgery at the Rockefeller Neuroscience Institute, West Virginia University, Morgantown, and Pocahontas Memorial Hospital, Buckeye, West Virginia.
Julie HareFrom Health Sciences, Departments of Family Medicine and Neurosurgery, and the Department of Neurosurgery at the Rockefeller Neuroscience Institute, West Virginia University, Morgantown, and Pocahontas Memorial Hospital, Buckeye, West Virginia.
Cara L SedneyFrom Health Sciences, Departments of Family Medicine and Neurosurgery, and the Department of Neurosurgery at the Rockefeller Neuroscience Institute, West Virginia University, Morgantown, and Pocahontas Memorial Hospital, Buckeye, West Virginia.

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Laura F. Gibson · 2012 to 2026
$81.0M
NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

objectivesWest Virginia (WV) is the only state entirely located in Appalachia, a large, mostly rural area in the eastern United States. WV has the highest adult obesity rate in the United States, as well as one of the highest physical inactivity rates. Obesity has been found to be significantly higher in rural counties than in urban counties, and many rural communities do not have the resources to address this growing health concern. It is well documented that healthy eating and becoming more physically active can be successful in reducing weight and managing obesity-related illness. Despite this overwhelming evidence, obesity rates in WV continue to climb. The purpose of this study was to understand the factors associated with obesity in WV and identify what influences the behavior of people in regard to weight loss and exercise.

methodsFour focus groups were conducted across the state of WV, transcribed, and thematically analyzed to examine the facilitators and barriers associated with healthy behaviors. The Consolidated Framework for Implementation Research (CFIR) was used as an approach to classify characteristics and plan implementation strategies integrating five domains. The CFIR has been used to identify potential barriers and facilitators to interventions and can be used before or during an intervention. In addition, the CFIR has been used as a framework to guide analysis and provide a means to organize intervention stakeholders' perceptions of barriers and facilitators to successful interventions.

resultsParticipants identified barriers and facilitators across all 5 major domains of the CFIR-intervention characteristics, outer setting (eg, cultural norms, infrastructure), inner setting (eg, access to knowledge), characteristics of individuals, and the implementation process-and 16 subdomains. Participants discussed how socioeconomic, cultural, and environmental factors influenced diet and exercise. Cost, family culture, and limited access to resources (eg, healthy foods, community-based fitness programs, health care) were common themes expressed by participants.

conclusionsThe results of this study identify how individuals living in rural Appalachian view lifestyle changes and what influences their ability to pursue physical activity and healthy eating. Future programs to encourage healthy lifestyles in Appalachia need to consider the characteristics of the given community to achieve the goal of a tailored lifestyle intervention program that is feasible and effective. In addition, the findings suggest that the CFIR can be used to implement and refine intervention strategies that can be used in the real world.

Indexed as

ExerciseWeight LossAdultAppalachian RegionHumansObesitySedentary Behavior

Identifiers

PMID35237841
PMCPMC8908912

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Registered trials

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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.