<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-19T19:16:56Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10459.1/69468" metadataPrefix="qdc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:10459.1/69468</identifier><datestamp>2025-11-10T19:45:53Z</datestamp><setSpec>com_2072_3622</setSpec><setSpec>col_2072_479130</setSpec></header><metadata><qdc:qualifieddc xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
   <dc:title>Cross-sectional study on body image and self-esteem among adolescents in Catalonia</dc:title>
   <dc:creator>Pollina Pocallet, Mercè</dc:creator>
   <dc:creator>Artigues-Barberà, Eva</dc:creator>
   <dc:creator>Guasch Clapes, Teresa</dc:creator>
   <dc:creator>Bellmunt Bonet, Mercè</dc:creator>
   <dc:creator>Palou Solé, Teresa</dc:creator>
   <dc:creator>Serra Solans, Núria</dc:creator>
   <dc:creator>Ribalta Calvet, Eva</dc:creator>
   <dc:creator>Marsal Mora, Josep Ramon</dc:creator>
   <dc:creator>Ortega Bravo, Marta</dc:creator>
   <dc:subject>Imatge corporal</dc:subject>
   <dc:subject>autoestima</dc:subject>
   <dc:subject>Adolescencia</dc:subject>
   <dc:subject>cross-sectional study</dc:subject>
   <dc:subject>Body image</dc:subject>
   <dc:subject>Self-esteem</dc:subject>
   <dc:subject>Adolescence</dc:subject>
   <dc:subject>Cross-sectional study</dc:subject>
   <dcterms:abstract>Research data to evaluate crucial components of adolescence maturational process is needed and a challenge for researchers and field professionals. Objectives: Promote positive body image, healthy habits and changes in self-esteem among both boys and girls at High schools in our area, though the analysis of measurements and obtained research data. Methods: Self-reported questionnaire assessed 323 students. Physical measurements (weight, height, BMI) were registered in all participants. The questionnaire measured body image perception (Gardner body image evaluation scale), self-esteem (Rosenberg self-esteem scale) and body image concern (Adonis complex questionnaire). Results: The body image distortion score was similar by gender and it decreased by age. The body dissatisfaction score was negative and higher in girls. Body dissatisfaction score and self-esteem were related, so participants with low self-esteem showed a higher body dissatisfaction score. Clear association was also shown between body dissatisfaction score and body image concern, females had a higher body concern and dissatisfaction than males. Discussion: These local measurements provided updated data on our population and they will be taken in consideration to implement community health programs and further tailor intervention programs.</dcterms:abstract>
   <dcterms:issued>2019</dcterms:issued>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
   <dc:relation>Reproducció del document publicat a: https://doi.org/10.31488/heph.118</dc:relation>
   <dc:relation>Health Education and Public Health, 2019, vol. 2, núm. 2, p. 164-169</dc:relation>
   <dc:rights>cc-by (c) Pollina Pocallet, Mercè et al., 2019</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:publisher>Mak periodical library</dc:publisher>
</qdc:qualifieddc></metadata></record></GetRecord></OAI-PMH>