Evidence map›Paper›PMID 42152437›Full record

ArticleBMJ open2026

Association between physical fitness and anthropometric indicators according to area of residence in Chilean adolescents: a cross-sectional study.

Rodrigo Yáñez-Sepúlveda, Vicente Javier Clemente-Suárez, Sandra Mahecha-Matsudo, Guillermo Cortés-Roco, Josivaldo de Souza-Lima, Juan Pablo Zavala-Crichton, Claudio Hinojosa-Torres, Jacqueline Páez-Herrera, Juan Hurtado-Almonacid, Tomás Reyes-Amigo and 5 more

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Rodrigo Yáñez-SepúlvedaFaculty Education and Humanities, School of Sport Sciences, Viña del Mar, Universidad Andres Bello, Santiago, Santiago Metropolitan Region, Chile.ORCID http://orcid.org/0000-0002-9311-6576
Vicente Javier Clemente-SuárezDepartment of Sport Sciences, Faculty of Sport and Health Sciences, Andorra la Vella, Fit Generation Research Institute, Andorra la Vella, Andorra.ORCID http://orcid.org/0000-0002-2397-2801
Sandra Mahecha-MatsudoUnidad Medicina del Deporte y la Actividad Física, Clínica MEDS, Santiago, Chile.
Guillermo Cortés-RocoFacultad de Ciencias de la Vida, Programa de Magíster en Evaluación y Planificación del Entrenamiento Deportivo, Carrera de Entrenador Deportivo, Universidad Viña del Mar, Viña del Mar, Valparaiso Region, Chile.
Josivaldo de Souza-LimaFaculty of Education and Humanities, School of Sport Sciences, Las Condes, Universidad Andres Bello, Santiago, Santiago Metropolitan Region, Chile.
Juan Pablo Zavala-CrichtonFaculty Education and Humanities, School of Sport Sciences, Viña del Mar, Universidad Andres Bello, Santiago, Santiago Metropolitan Region, Chile.
Claudio Hinojosa-TorresFaculty Education and Humanities, School of Sport Sciences, Viña del Mar, Universidad Andres Bello, Santiago, Santiago Metropolitan Region, Chile.
Jacqueline Páez-HerreraGrupo de investigación eFidac, Escuela de Educación Física, Pontificia Universidad Católica de Valparaíso, Valparaíso, Valparaiso Region, Chile.
Juan Hurtado-AlmonacidGrupo de investigación eFidac, Escuela de Educación Física, Pontificia Universidad Católica de Valparaíso, Valparaíso, Valparaiso Region, Chile.
Tomás Reyes-AmigoPhysical Activity Sciences Observatory (OCAF), Universidad de Playa Ancha, Playa Ancha, Región de Valparaíso, Chile.
Jorge Olivares-ArancibiaAFySE Group, Research in Physical Activity and School Health, School of Physical Education, Faculty of Education, Universidad de Las Américas, Santiago, Santiago Metropolitan Region, Chile.
Cristián Molina-PederneraFundación Instituto Profesional DuocUC, Valparaíso, Chile.
Nicole Aguilera-MartínezEscuela de Nutrición y Dietética, Facultad de Ciencias de la Salud, Universidad Católica del Maule, Talca, Maule Region, Chile.
Marcelo TuestaExercise and Rehabilitation Sciences Institute, School of Physiotherapy, Faculty of Rehabilitation Sciences, Universidad Andres Bello, Santiago, Santiago Metropolitan Region, Chile.
José Francisco López-GilSchool of Medicine, Universidad Espíritu Santo, Samborondón, Ecuador josefranciscolopezgil@gmail.com.ORCID http://orcid.org/0000-0002-7412-7624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch has yielded contradictory results regarding differences in physical fitness and cardiometabolic risk between children and adolescents living in rural and urban areas.

objectivesThe present study aimed to analyse the moderating role of area of residence on the association of physical fitness and anthropometric parameters in Chilean adolescents. DESIGN AND

settingCross-sectional analysis of a nationally representative school-based sample from Chile. PARTICIPANTS AND MEASURES: A total of 7,833 adolescents with an average age of 15.8±0.7 years participated in both rural (n=759) and urban (n=7,074) settings. Physical fitness tests were evaluated using the Assessing Levels of Physical Activity and Fitness (ALPHA-Fitness) battery and anthropometric variables such as body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR). Generalised linear models with Gaussian distributions were constructed to estimate moderation models, with anthropometric-related variables as dependent variables, physical fitness variables as independent variables and area of residence as a moderator. Moderation analyses were conducted to examine whether the area of residence influences the association between physical fitness and anthropometric indicators (WC, WHtR and BMI).

resultsIn all models, place of residence did not moderate the potential associations between physical fitness and anthropometric indicators; for example, cardiorespiratory fitness with WC (B=0.13, 95% CI 0.05 to 0.31; 0=0.160), WHtR (B=0.08, 95% CI -0.03 to 0.20; p=0.143) or BMI (B=0.08, 95% CI -0.03 to 0.20; p=0.207).

conclusionsThese findings suggest the associations between physical fitness and anthropometric outcomes do not differ significantly between rural and urban adolescents.

Indexed as

Physical FitnessResidence CharacteristicsRural PopulationUrban PopulationAdolescentAnthropometryBody Mass IndexChileCross-Sectional StudiesExerciseFemaleHumansMaleWaist CircumferenceWaist-Height RatioCardiovascular DiseaseExercisePhysical Fitness

Identifiers

PMID42152437
PMCPMC13182358

What OpenQuestion holds

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LicenceCC BY-NC
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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.