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1.
Eur Psychiatry ; 32: 34-41, 2016 Feb.
Article in English | MEDLINE | ID: mdl-26802982

ABSTRACT

BACKGROUND: Postgraduate medical trainees experience high rates of burnout, but evidence regarding psychiatric trainees is missing. We aim to determine burnout rates among psychiatric trainees, and identify individual, educational and work-related factors associated with severe burnout. METHODS: In an online survey psychiatric trainees from 22 countries were asked to complete the Maslach Burnout Inventory (MBI-GS) and provide information on individual, educational and work-related parameters. Linear mixed models were used to predict the MBI-GS scores, and a generalized linear mixed model to predict severe burnout. RESULTS: This is the largest study on burnout and training conditions among psychiatric trainees to date. Complete data were obtained from 1980 out of 7625 approached trainees (26%; range 17.8-65.6%). Participants were 31.9 (SD 5.3) years old with 2.8 (SD 1.9) years of training. Severe burnout was found in 726 (36.7%) trainees. The risk was higher for trainees who were younger (P<0.001), without children (P=0.010), and had not opted for psychiatry as a first career choice (P=0.043). After adjustment for socio-demographic characteristics, years in training and country differences in burnout, severe burnout remained associated with long working hours (P<0.001), lack of supervision (P<0.001), and not having regular time to rest (P=0.001). Main findings were replicated in a sensitivity analysis with countries with response rate above 50%. CONCLUSIONS: Besides previously described risk factors such as working hours and younger age, this is the first evidence of negative influence of lack of supervision and not opting for psychiatry as a first career choice on trainees' burnout.


Subject(s)
Burnout, Professional , Psychiatry/statistics & numerical data , Work Schedule Tolerance/psychology , Adult , Burnout, Professional/diagnosis , Burnout, Professional/epidemiology , Burnout, Professional/etiology , Career Choice , Demography , Education, Medical, Continuing/methods , Female , Humans , Male , Mental Health Services/organization & administration , Middle Aged , Personality Inventory , Risk Factors , Socioeconomic Factors , Surveys and Questionnaires
2.
Neurosci Lett ; 500(3): 162-6, 2011 Aug 18.
Article in English | MEDLINE | ID: mdl-21683760

ABSTRACT

The gamma aminobutyric acid (GABA) system has been implicated in the susceptibility to develop alcohol dependence and in determining electroencephalogram (EEG) beta activity. The role of the GABA receptor alpha-2 gene (GABRA2) in human alcohol dependence was determined in a genetic and electrophysiological study. The study population comprised 586 white UK individuals with alcohol dependence but a very low prevalence of co-morbid drug dependence, and 603 ancestrally matched healthy controls. Genotyping for seven GABRA2 single nucleotide polymorphisms (SNPs), identified from the literature as positively associated with alcohol dependence, was performed with success rates of 90% or greater. EEGs were available in 32 selected patients who had been abstinent from alcohol for a minimum of 24 months and in 138 ancestrally matched healthy controls. None of the SNPs showed allelic or haplotypic association with alcohol dependence. All markers were in Hardy Weinberg equilibrium (HWE) in the controls. HWE for marker rs279841 in the alcohol dependent sample was p=0.0199 and combined p=0.0166. Linkage disequilibrium patterns appear to be very similar to that observed in the HapMap CEU data. A significantly higher prevalence of excess EEG fast activity was found in the patients (31 vs. 14%, p=0.018). A significant relationship was found between the presence of excess EEG fast activity and GABRA2 SNPs rs548583, rs279871 and rs279841. This allelic association study provides no evidence for an association between GABRA2 polymorphisms and alcohol dependence. However, a significant relationship was identified between GABRA2 and excess EEG fast activity. This dissociation of effect may reflect the fact that the EEG is a more direct marker of phenotypic GABRA2 expression than the more heterogeneous alcohol dependence phenotype.


Subject(s)
Alcoholism/genetics , Alcoholism/physiopathology , Polymorphism, Single Nucleotide , Receptors, GABA-A/genetics , Case-Control Studies , Electroencephalography , Female , Genetic Association Studies , Humans , Male
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