Evidence map›Paper›PMID 29784891›Full record

ArticleJournal of research in health sciences2018

Predicting Physical Activity Behavior in African American Females: Using Multi Theory Model.

Traci Hayes, Vinayak K Nahar, Manoj Sharma

Abstract read
In one paragraph

Article in Journal of research in health sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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  7. Predicting Physical Activity in Chinese Pregnant Women Using Multi-Theory Model: A Cross-Sectional Study.International journal of environmental research and public health · 2022
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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

3 authors at 2 institutions in 1 country.

Traci HayesBehavioral & Environmental Health, School of Public Health, Jackson State University, MS, USA.
Vinayak K NaharCenter for Animal and Human Health in Appalachia, College of Veterinary Medicine, DeBusk College of Osteopathic Medicine, and School of Mathematics and Sciences, Lincoln Memorial University, Harrogate, TN, USA. naharvinayak@gmail.com.
Manoj SharmaBehavioral & Environmental Health, School of Public Health, Jackson State University, MS, USA.
Jackson State University · USLincoln Memorial University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite physical activity having several benefits, a considerable number of Americans do not engage in sufficient exercise. Among the high-risk groups are African American women. A recent theory, multi theory model (MTM) for health behavior change can be used to develop effective interventions. The objective of this research was to test MTM in its ability to predict physical activity behavior in African American women. STUDY

designA cross-sectional study.

methodsAfrican American women aged 18 yr and older were recruited at various locations (primarily churches) of Jackson, a large city in southern Mississippi to participate in this cross-sectional study in 2016. The valid and reliable survey was administered to a G*Power calculated quota sample of 156 women either in person or via a Qualtrics link sent through an e-mail.

resultsThe regression analysis revealed that 32.7% of the variance in initiating physical activity behavior was predicted by participatory dialogue, behavioral confidence, and changes in physical environment. Sustenance of physical activity behavior was predicted up to 38.8% by emotional transformation and changes in social environment.

conclusionsMTM appears to be a robust theory in its application for changing physical activity behavior in African American women. This theory must be reified and empirically tested with this population.

Indexed as

Black or African AmericanHealth BehaviorMotor ActivityAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesExerciseFemaleHumansMiddle AgedMississippiObesityPsychological TheoryRegression AnalysisExerciseMethodsPhysical activityPrevention and controlStatistical and numerical data

Identifiers

PMID29784891
PMCPMC7204419
OpenAlexW2807293018

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.