Lifestyle behaviours profile of spanish adolescentes who actively commute to school

The aim of this study was to study different ‘healthy profiles’ through the impact of multiple lifestyle behaviours (sleep patterns, screen time and quality diet) on active commuting to school (ACS) in adolescents. Sixteen secondary schools from four Spanish cities were randomly selected. All partic...

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Detalles Bibliográficos
Autores: Martín Moraleda, Evelyn, Pinilla Quintana, Iván, Romero Blanco, Cristina, Hernández Martínez, Antonio, Jiménez Zazo, Fabio, Dorado Suárez, Alberto, García Coll, Virginia, Cabanillas Cruz, Esther, Martínez Romero, Maria Teresa, Herrador Colmenero, Manuel, Queralt, Ana, Castro Lemus, Nuria, Aznar, Susana
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/146166
Acceso en línea:https://hdl.handle.net/11441/146166
https://doi.org/10.3390/children10010095
Access Level:acceso abierto
Palabra clave:Active commuting
Adolescents
Diet
Sleep
Screen
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spelling Lifestyle behaviours profile of spanish adolescentes who actively commute to schoolMartín Moraleda, EvelynPinilla Quintana, IvánRomero Blanco, CristinaHernández Martínez, AntonioJiménez Zazo, FabioDorado Suárez, AlbertoGarcía Coll, VirginiaCabanillas Cruz, EstherMartínez Romero, Maria TeresaHerrador Colmenero, ManuelQueralt, AnaCastro Lemus, NuriaAznar, SusanaActive commutingAdolescentsAdolescentsDietSleepScreenThe aim of this study was to study different ‘healthy profiles’ through the impact of multiple lifestyle behaviours (sleep patterns, screen time and quality diet) on active commuting to school (ACS) in adolescents. Sixteen secondary schools from four Spanish cities were randomly selected. All participants filled in an “Ad-Hoc” questionnaire to measure their mode of commuting and distance from home to school and their lifestyle behaviours. A multivariate logistic regression model was performed to analyse the main predictor variables of ACS. The final sample was 301 adolescents (50.2% girls; mean age ± SD: 14.9 ± 0.48 years). The percentage of ACS was 64.5%. Multiple logistic regressions showed: boys were more active commuters than girls [OR = 2.28 (CI 95%: 1.12–4.64); p = 0.02]; adolescents who lived farther had lower probability to ACS [OR = 0.74 (CI 95%: 0.69–0.80); p < 0.001]; adolescents who met sleep duration recommendations were more likely to ACS [OR = 3.05 (CI 95%: 1.07–8.69); p = 0.04], while with each hour of sleep, the odds of ACS was reduced [OR = 0.51 (CI 95%: 0.30–0.89); p = 0.02]; higher odds were shown to ACS in adolescents who have more adherence to MD [OR = 1.16(CI 95%: 1.00–1.33); p = 0.05]; and habitual breakfast consumption was inversely associated with ACS [OR = 0.41 (CI: 95%: 0.18–0.96); p = 0.04]. ACS was associated with being a boy, living at a shorter distance to school, a daily sleep time ≥ 8 h and presented a higher adherence to MD.MDPIMotricidad Humana y Rendimiento Deportivo2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/146166https://doi.org/10.3390/children10010095reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésChildren, 10 (1), 95.http://doi.org/10.3390/children10010095info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1461662026-06-17T12:51:07Z
dc.title.none.fl_str_mv Lifestyle behaviours profile of spanish adolescentes who actively commute to school
title Lifestyle behaviours profile of spanish adolescentes who actively commute to school
spellingShingle Lifestyle behaviours profile of spanish adolescentes who actively commute to school
Martín Moraleda, Evelyn
Active commuting
Adolescents
Adolescents
Diet
Sleep
Screen
title_short Lifestyle behaviours profile of spanish adolescentes who actively commute to school
title_full Lifestyle behaviours profile of spanish adolescentes who actively commute to school
title_fullStr Lifestyle behaviours profile of spanish adolescentes who actively commute to school
title_full_unstemmed Lifestyle behaviours profile of spanish adolescentes who actively commute to school
title_sort Lifestyle behaviours profile of spanish adolescentes who actively commute to school
dc.creator.none.fl_str_mv Martín Moraleda, Evelyn
Pinilla Quintana, Iván
Romero Blanco, Cristina
Hernández Martínez, Antonio
Jiménez Zazo, Fabio
Dorado Suárez, Alberto
García Coll, Virginia
Cabanillas Cruz, Esther
Martínez Romero, Maria Teresa
Herrador Colmenero, Manuel
Queralt, Ana
Castro Lemus, Nuria
Aznar, Susana
author Martín Moraleda, Evelyn
author_facet Martín Moraleda, Evelyn
Pinilla Quintana, Iván
Romero Blanco, Cristina
Hernández Martínez, Antonio
Jiménez Zazo, Fabio
Dorado Suárez, Alberto
García Coll, Virginia
Cabanillas Cruz, Esther
Martínez Romero, Maria Teresa
Herrador Colmenero, Manuel
Queralt, Ana
Castro Lemus, Nuria
Aznar, Susana
author_role author
author2 Pinilla Quintana, Iván
Romero Blanco, Cristina
Hernández Martínez, Antonio
Jiménez Zazo, Fabio
Dorado Suárez, Alberto
García Coll, Virginia
Cabanillas Cruz, Esther
Martínez Romero, Maria Teresa
Herrador Colmenero, Manuel
Queralt, Ana
Castro Lemus, Nuria
Aznar, Susana
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Motricidad Humana y Rendimiento Deportivo
dc.subject.none.fl_str_mv Active commuting
Adolescents
Adolescents
Diet
Sleep
Screen
topic Active commuting
Adolescents
Adolescents
Diet
Sleep
Screen
description The aim of this study was to study different ‘healthy profiles’ through the impact of multiple lifestyle behaviours (sleep patterns, screen time and quality diet) on active commuting to school (ACS) in adolescents. Sixteen secondary schools from four Spanish cities were randomly selected. All participants filled in an “Ad-Hoc” questionnaire to measure their mode of commuting and distance from home to school and their lifestyle behaviours. A multivariate logistic regression model was performed to analyse the main predictor variables of ACS. The final sample was 301 adolescents (50.2% girls; mean age ± SD: 14.9 ± 0.48 years). The percentage of ACS was 64.5%. Multiple logistic regressions showed: boys were more active commuters than girls [OR = 2.28 (CI 95%: 1.12–4.64); p = 0.02]; adolescents who lived farther had lower probability to ACS [OR = 0.74 (CI 95%: 0.69–0.80); p < 0.001]; adolescents who met sleep duration recommendations were more likely to ACS [OR = 3.05 (CI 95%: 1.07–8.69); p = 0.04], while with each hour of sleep, the odds of ACS was reduced [OR = 0.51 (CI 95%: 0.30–0.89); p = 0.02]; higher odds were shown to ACS in adolescents who have more adherence to MD [OR = 1.16(CI 95%: 1.00–1.33); p = 0.05]; and habitual breakfast consumption was inversely associated with ACS [OR = 0.41 (CI: 95%: 0.18–0.96); p = 0.04]. ACS was associated with being a boy, living at a shorter distance to school, a daily sleep time ≥ 8 h and presented a higher adherence to MD.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/146166
https://doi.org/10.3390/children10010095
url https://hdl.handle.net/11441/146166
https://doi.org/10.3390/children10010095
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Children, 10 (1), 95.
http://doi.org/10.3390/children10010095
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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