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Engaging the AQ10 to Predict Professional Burnout or Poor Work-Related Psychological Wellbeing Among Anglican Clergy in Wales.
Francis, Leslie J; Sailer, Alison B; Payne, V John; McKenna, Ursula.
Afiliação
  • Francis LJ; Centre for Educational Development, Appraisal and Research (CEDAR), University of Warwick, Coventry, UK. leslie.francis@warwick.ac.uk.
  • Sailer AB; World Religions and Education Research Unit, Bishop Grosseteste University, Lincoln, UK. leslie.francis@warwick.ac.uk.
  • Payne VJ; College of Life and Health Sciences, Brunel University, London, UK.
  • McKenna U; Department of Psychology, Wrexham Glyndwr University, Wrexham, UK.
J Relig Health ; 63(2): 1661-1676, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38285247
ABSTRACT
The ten-item Autism Spectrum Quotient (AQ10) is a self-report instrument originally designed to identify referrals for professional diagnosis for Autism Spectrum Disorders (ASD). Recent studies suggest that this instrument may also be tapping more generalised affective disorders. Working with this interpretation, this study examines the predictive power of the AQ10 to account for additional variance, after personal and personality factors have been taken into account, on the two scales of the Francis Burnout Inventory. Data provided by 220 Anglican clergy serving in Wales demonstrated that 8.6% of the participants recorded six or more red flags on the AQ10 (and so qualified for referral for specialist diagnostic assessment) and that higher scores on the AQ10 are associated with significantly lower levels of satisfaction in ministry and with significantly higher levels of emotional exhaustion in ministry. These data suggest that screening with the AQ10 may be helpful in identifying clergy vulnerable to professional burnout and to poor work-related psychological wellbeing, in addition to its primary purpose of screening for ASD.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Esgotamento Profissional Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Esgotamento Profissional Idioma: En Ano de publicação: 2024 Tipo de documento: Article