<rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
   <ow:Publication rdf:about="oai:digibug.ugr.es:10481/91238">
      <dc:title>Analyzing Latent Burnout Profiles in a Sample of Spanish Nursing and Psychology Undergraduates</dc:title>
      <dc:creator>Aguayo Estremera, Raimundo</dc:creator>
      <dc:creator>Membrive Jiménez, María José</dc:creator>
      <dc:creator>Albendín García, Luis</dc:creator>
      <dc:creator>Gómez Urquiza, Jose Luis</dc:creator>
      <dc:creator>Romero Béjar, José Luis</dc:creator>
      <dc:creator>Fuente Solana, Emilia I. De La</dc:creator>
      <dc:creator>Cañadas De La Fuente, Gustavo Raúl</dc:creator>
      <dc:subject>Burnout</dc:subject>
      <dc:subject>Latent profile analysis</dc:subject>
      <dc:subject>Nursing</dc:subject>
      <dc:description>There is abundant literature suggesting that university students in helping professions experience&#xd;
high levels of stress, leading to an increased risk of developing burnout. The objective of this&#xd;
study was to identify burnout profiles in a sample of 1162 Spanish nursing and psychology undergraduates&#xd;
using latent profile analysis, a person-oriented statistical method that can identify hidden&#xd;
homogenous subgroups within a heterogeneous population. We expected to replicate in university&#xd;
students the five-profile structure (burnout, overextended, disengaged, ineffective, and engagement)&#xd;
proposed by Leiter and Maslach using the burnout dimensions (emotional exhaustion, cynicism, and&#xd;
inefficacy) as indicators. The results showed that burnout, overextended, and engagement profiles&#xd;
were adequately replicated. Given that levels of inefficacy and cynicism were medium to low, the ineffective&#xd;
and disengaged profiles somewhat deviated from those identified by Leiter and Maslach. We&#xd;
found differences between the five latent profiles in several psychological variables, such as depression&#xd;
and anxiety. These results suggest that psychosocial factors (e.g., workload) are significant among students&#xd;
and may adversely impact their health, leading to psychosomatic and emotional disorders.&#xd;
Hence, designing effective interventions to prevent health problems associated with burnout seems&#xd;
advisable, considering the specific burnout profile that a student exhibits.</dc:description>
      <dc:date>2024-04-29T08:12:51Z</dc:date>
      <dc:date>2024-04-29T08:12:51Z</dc:date>
      <dc:date>2024-02-08</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>https://hdl.handle.net/10481/91238</dc:identifier>
      <dc:identifier>https://doi.org/10.3390/healthcare12040438</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 Internacional</dc:rights>
      <dc:publisher>MDPI</dc:publisher>
   </ow:Publication>
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