Evidence map›Paper›PMID 37454185›Full record

ArticlePediatric research2023

Lifestyle behaviors clusters in a nationwide sample of Spanish children and adolescents: PASOS study.

Augusto G Zapico, Raquel Aparicio-Ugarriza, Carlos Quesada-González, Santiago Felipe Gómez, Julia Wärnberg, María Medrano, Narcís Gusi, Susana Aznar, Elena Marín-Cascales, Miguel A González-Valeiro and 17 more

Abstract read
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Article in Pediatric research, 2023. 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
–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

11 citing papers in PubMed.

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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

27 authors.

Augusto G ZapicoImFINE Research Group. Department of Health and Human Performance, Universidad Politécnica de Madrid, Madrid, Spain. azapico@edu.ucm.es.ORCID 0000-0001-6157-4997
Raquel Aparicio-UgarrizaImFINE Research Group. Department of Health and Human Performance, Universidad Politécnica de Madrid, Madrid, Spain.
Carlos Quesada-GonzálezImFINE Research Group. Department of Health and Human Performance, Universidad Politécnica de Madrid, Madrid, Spain.
Santiago Felipe GómezGasol Foundation, Sant Boi de Llobregat, Spain.
Julia WärnbergBiomedical Research Center on Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
María MedranoELIKOS group, Institute for Innovation & Sustainable Development in Food Chain (IS-FOOD). CIBEROBN, ISCIII Navarra, Public University of Navarra, Navarra, Spain.
Narcís GusiPhysical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, Universidad de Extremadura, Cáceres, Spain.
Susana AznarPAFS Research Group, Faculty of Sports Sciences, University of Castilla-La Mancha, Toledo, Spain.
Elena Marín-CascalesResearch Center for High Performance Sport, Catholic University of Murcia, Murcia, Spain.
Miguel A González-ValeiroFaculty of Sports Sciences and Physical Education, University of A Coruña, A Coruña, Spain.
Lluís Serra-MajemBiomedical Research Center on Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Susana PulgarRegional Unit of Sports Medicine, Municipal Sports Foundation of Avilés, Asturias, Spain.
Josep A TurBiomedical Research Center on Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Marta SeguFundació FC Barcelona, Barcelona, Spain.
Montserrat FítoBiomedical Research Center on Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Clara HomsGasol Foundation, Sant Boi de Llobregat, Spain.
Juan Carlos Benavente-MarínEpiPHAAN Research Group. Faculty of Health Sciences, University of Málaga-Institute of Biomedical Research of Malaga (IBIMA), Málaga, Spain.
Jesús Sánchez-GómezPhysical Activity and Quality of Life Research Group (AFYCAV), Faculty of Sport Sciences, Universidad de Extremadura, Cáceres, Spain.
Fabio Jiménez-ZazoPAFS Research Group, Faculty of Sports Sciences, University of Castilla-La Mancha, Toledo, Spain.
Pedro E AlcarazResearch Center for High Performance Sport, Catholic University of Murcia, Murcia, Spain.
Marta Sevilla-SánchezFaculty of Sport Sciences, UCAM, Catholic University of Murcia, Murcia, Spain.
Estefanía Herrera-RamosResearch Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Las Palmas, Spain.
Cristina BouzasBiomedical Research Center on Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, Madrid, Spain.
Clara SistacFundació FC Barcelona, Barcelona, Spain.
Helmut SchröderBiomedical Research Networking Center on Epidemiology and Public Health studies (CIBERESP), Institute of Health Carlos III, Madrid, Spain.
Eva GesteiroImFINE Research Group. Department of Health and Human Performance, Universidad Politécnica de Madrid, Madrid, Spain.
Marcela González-GrossImFINE Research Group. Department of Health and Human Performance, Universidad Politécnica de Madrid, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundYouth is a vulnerable period. To classify lifestyle behaviors and its relationship with health-related outcomes of Spanish children and adolescents.

methodsCross-sectional study including 3261 children aged 7.5-17.5 y (52.8% females). Physical activity (PA), screen-time, sleep time, adherence to Mediterranean diet (MD), weight status (WS) by validated methods. Cluster analysis was run considering chronological age.

resultsSix clusters were identified: C1: high screen time, low adherence to MD and sleep time (n = 431,13.20%); C2: high WS, medium adherence to MD,high sleep time, and low screen time (n = 466,14.30%); C3: young group with low screen time and high PA, adherence to MD and sleep (n = 537,16.40%); C4: worst profile regarding adherence to MD, PA, WS and sleep time (n = 609,18.70%); C5: low screen time and PA, high sleep time (n = 804,24.70%); C6: high PA and screen time, low WS (n = 414,12.70%). Mean absolute values were statistically different among PA levels, screen and sleep time, adherence to MD, age, and WS (all p < 0.001).

conclusionsThe most prevalent pattern was low levels of PA, MD, and screen time, and high sleep time. The second most prevalent was characterized by very low levels of PA, sleep time, and adherence to MD, and high screen time, and WS in adolescents. IMPACT STATEMENT: The main identified lifestyle behavior was poor physical activity, low adherence to Mediterranean Diet and high screen and sleep time. Children should increase physical activity levels, adherence to Mediterranean diet, decrease screen and sleep the appropriate hours per day. Families, schools, and medical communities must work together to gloss over present and future diseases. Sleep time had not been previously included in cluster analysis with physical activity, sedentary behaviors, obesity, and nutritional status, thus the present data open a new perspective in Spanish population. Health policies should focus on promoting physical activity, Mediterranean diet, adequate sleep and reducing screen time.

Indexed as

ExerciseLife StyleAdolescentChildCross-Sectional StudiesFemaleHumansMaleObesitySedentary Behavior

Identifiers

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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.