Evidence map›Paper›PMID 28249597›Full record

ArticleBMC public health2017

Factor structure and internal reliability of an exercise health belief model scale in a Mexican population.

Oscar Armando Esparza-Del Villar, Priscila Montañez-Alvarado, Marisela Gutiérrez-Vega, Irene Concepción Carrillo-Saucedo, Gloria Margarita Gurrola-Peña, Norma Alicia Ruvalcaba-Romero, María Dolores García-Sánchez, Sergio Gabriel Ochoa-Alcaraz

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.9field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 41 citations in OpenAlex.

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  6. Associated factors on physical activity among childhood cancer survivors in Mainland China: a qualitative exploration applied health belief model.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 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

8 authors at 5 institutions in 1 country.

Oscar Armando Esparza-Del VillarPsychology Program, Universidad Autónoma de Ciudad Juárez, Av. Universidad y H. Colegio Militar s/n, Ciudad Juárez, Chihuahua, Mexico. oesparza@uacj.mx.
Priscila Montañez-AlvaradoPsychology Program, Universidad Autónoma de Ciudad Juárez, Av. Universidad y H. Colegio Militar s/n, Ciudad Juárez, Chihuahua, Mexico.
Marisela Gutiérrez-VegaPsychology Program, Universidad Autónoma de Ciudad Juárez, Av. Universidad y H. Colegio Militar s/n, Ciudad Juárez, Chihuahua, Mexico.
Irene Concepción Carrillo-SaucedoPsychology Program, Universidad Autónoma de Ciudad Juárez, Av. Universidad y H. Colegio Militar s/n, Ciudad Juárez, Chihuahua, Mexico.
Gloria Margarita Gurrola-PeñaFacultad de Ciencias de la Conducta, Universidad Autónoma del Estado de México, Carretera Toluca - Naucalpan km. 1.5 s/n, Toluca, Estado de México, Mexico.
Norma Alicia Ruvalcaba-RomeroCentro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Sierra Mojada N° 950. Col. Independencia, C.P. 44350, Guadalajara, Jalisco, Mexico.
María Dolores García-SánchezUnidad Académica de Psicología, Universidad Autónoma de Zacatecas, Av. Preparatoria 301, Hidraulica, 98060, Zacatecas, Zacatecas, Mexico.
Sergio Gabriel Ochoa-AlcarazFacultad de Psicología, Universidad de Colima, Av. Universidad No. 333, Las Víboras, CP 28040, Colima, Colima, Mexico.
Universidad Autónoma de Ciudad Juárez · MXUniversidad Autónoma del Estado de México · MXUniversidad Autónoma de Zacatecas "Francisco García Salinas" · MXUniversidad de Colima · MXUniversidad de Guadalajara · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMexico is one of the countries with the highest rates of overweight and obesity around the world, with 68.8% of men and 73% of women reporting both. This is a public health problem since there are several health related consequences of not exercising, like having cardiovascular diseases or some types of cancers. All of these problems can be prevented by promoting exercise, so it is important to evaluate models of health behaviors to achieve this goal. Among several models the Health Belief Model is one of the most studied models to promote health related behaviors. This study validates the first exercise scale based on the Health Belief Model (HBM) in Mexicans with the objective of studying and analyzing this model in Mexico.

methodsItems for the scale called the Exercise Health Belief Model Scale (EHBMS) were developed by a health research team, then the items were applied to a sample of 746 participants, male and female, from five cities in Mexico. The factor structure of the items was analyzed with an exploratory factor analysis and the internal reliability with Cronbach's alpha.

resultsThe exploratory factor analysis reported the expected factor structure based in the HBM. The KMO index (0.92) and the Barlett's sphericity test (p < 0.01) indicated an adequate and normally distributed sample. Items had adequate factor loadings, ranging from 0.31 to 0.92, and the internal consistencies of the factors were also acceptable, with alpha values ranging from 0.67 to 0.91.

conclusionsThe EHBMS is a validated scale that can be used to measure exercise based on the HBM in Mexican populations.

Indexed as

ExerciseHealth BehaviorAdolescentAdultFactor Analysis, StatisticalFemaleHumansMaleMexicoObesityReproducibility of ResultsSocioeconomic FactorsSurveys and QuestionnairesYoung AdultExploratory factor analysisHealth modelsObesityOverweightPhysical activity

Identifiers

PMID28249597
PMCPMC5333383
OpenAlexW2594184612

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.