Evidence map›Paper›PMID 40724687›Full record

ArticleHealthcare (Basel, Switzerland)2025

Lifestyle Behavior Patterns and Their Association with Active Commuting to School Among Spanish Adolescents: A Cluster Analysis.

Pablo Campos-Garzón, Romina Gisele Saucedo-Araujo, Javier Rodrigo-Sanjoaquín, Ximena Palma-Leal, Francisco Javier Huertas-Delgado, Palma Chillón

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Pablo Campos-GarzónFaculty of Health Sciences, University of Lethbridge, Lethbridge, AB T1K 3M4, Canada.
Romina Gisele Saucedo-AraujoDepartment of Specific Didactics, Faculty of Education, University of La Laguna, 38200 San Cristóbal de La Laguna, Spain.ORCID 0000-0002-0194-4236
Javier Rodrigo-SanjoaquínDépartement STAPS, Université de Pau et des Pays de l'Adour, 65000 Tarbes, France.ORCID 0000-0002-9369-5520
Ximena Palma-LealiGEO Group, School of Physical Education, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340025, Chile.
Francisco Javier Huertas-Delgado"La Inmaculada" Teacher Training Centre, University of Granada, 18013 Granada, Spain.ORCID 0000-0001-9957-4802
Palma ChillónDepartment of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, 18011 Granada, Spain.ORCID 0000-0003-0862-8989

Funding

Spanish Ministry of Economy, Industry and Competitiveness and the European Regional Development Fund DEP2016-75598-RUniversity of Granada Plan Propio de Investigación 2016 Excellence actions: Unit of Excellence on Exercise and Health (UCEES) and the Junta de Andalucía, Consejería de Conocimiento, Investigación y Universidades, European Regional Development Fund SOMM17/6107/UGR
6 · The paper itself

Abstract

objectivesWe aimed to identify clustering patterns of the device-measured physical activity (PA) levels (i.e., light PA and moderate-to-vigorous PA) and sedentary time (ST), screen time, sleep duration, and breakfast consumption of Spanish adolescents and their associations with the mode of commuting to and from schools (i.e., active and passive).

methodsA total of 151 adolescents aged 14.4 ± 0.6 years (53.64% girls) were included in this study. Participants wore an accelerometer device during seven consecutive days to measure PA levels and ST levels. Screen time, sleep duration, breakfast consumption, and the mode of commuting to and from school were self-reported by the participants. A two-step cluster analysis was performed to examine the different lifestyle behavior patterns (defined as data-driven groupings of daily behaviors identified through cluster analysis). Logistic regression models were used to determine the associations among the lifestyle behavior patterns and the mode of commuting to and from school.

resultsThe main characteristics of the three identified clusters were as follows: (active) high PA levels and low ST (38.4%); (inactive) high sleep duration and daily breakfast consumption, but low PA levels and high ST and screen time (37.2%); and (unhealthy) low PA levels and sleep duration, high ST and screen time, and usually skip breakfast (24.4%). No associations were found between these clusters and the mode of commuting to and from school (all,

conclusionsThree different lifestyle behavior patterns were identified among Spanish adolescents, but no associations were found between these patterns and their mode of commuting to and from school.

Indexed as

breakfastphysical activityscreen timesedentary timesleep durationtransport

Identifiers

PMID40724687
PMCPMC12294203

What OpenQuestion holds

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LicenceCC BY
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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.