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Kowalec, K.

Publications and source records attributed to Kowalec, K..

2 recordsLinked to original sources

Characteristics of early career health researchers and experiences of burnout during the COVID-19 pandemic in Canada

IntroductionThe COVID-19 pandemic disrupted research globally. How it impacted Canadian early-career health researchers (ECHRs) remains unclear. We administered a survey to understand the composition of ECHRs in Canada, their job experiences, and experiences of burnout during the COVID-19 pandemic. MethodsA cross-sectional survey was conducted in May 2023 of Canadian ECHRs defined as within 7 years of their first independent research position. Quantitative analyses included a description of respondents by research pillar, socio-demographic and workplace characteristics, and the prevalence of burnout, disengagement or exhaustion. Sample characteristics were compared to national data on ECHRs from a Canadian funding agency. Thematic analysis of free-text responses was also conducted. ResultsA total of 225 respondents met the eligibility criteria. Most respondents were assistant professors and characteristics of our sample were like the national data. The COVID-19 pandemic posed many challenges to student recruitment, and emotional support of students, with over half of the respondents reporting a moderate to significant decline in mental health compared to pre-pandemic. A significant proportion of respondents were experiencing high burnout (62%, 95%CI:56-67%), exhaustion (64%, 95%CI: 57-70%) or disengagement (91%, 95%CI: 87-95%). Thematic analysis identified three themes: ongoing benefits/problems preceding the pandemic, unintended outcomes of strategies to manage/prevent/contain COVID-19, and reasons to stay in their current position. ConclusionsOur survey revealed that Canadian ECHRs reported many diverse challenges during the COVID-19 pandemic and high burnout, putting the sustainability of this workforce at risk. Improved systems are needed to understand the long-term impacts and support the future of the Canadian health research ecosystem.

scientific communication and education↗

Large-scale analysis of DNA methylation identifies cellular alterations in blood from psychosis patients and molecular biomarkers of treatment-resistant schizophrenia.

ObjectivePsychosis - a complex and heterogeneous neuropsychiatric condition characterized by hallucinations and delusions - is a common feature of schizophrenia. There is evidence for altered DNA methylation (DNAm) associated with schizophrenia in both brain and peripheral tissues. We aimed to undertake a systematic analysis of variable DNAm associated with psychosis, schizophrenia, and treatment-resistant schizophrenia, also exploring measures of biological ageing, smoking, and blood cell composition derived from DNAm data to identify molecular biomarkers of disease. MethodsWe quantified DNAm across the genome in blood samples from 4,483 participants from seven case-control cohorts including patients with schizophrenia or first-episode psychosis. Measures of biological age, cellular composition and smoking status were derived from DNAm data using established algorithms. DNAm and derived measures were analyzed within each cohort and the results combined by meta-analysis. ResultsPsychosis cases were characterized by significant differences in measures of blood cell proportions and elevated smoking exposure derived from the DNAm data, with the largest differences seen in treatment-resistant schizophrenia patients. DNAm at 95 CpG sites was significantly different between psychosis cases and controls, with 1,048 differentially methylated positions (DMPs) identified between schizophrenia cases and controls. Schizophrenia-associated DMPs colocalize to regions identified in genetic association studies, with genes annotated to these sites enriched for pathways relevant to disease. Finally, a number of the schizophrenia associated differences were only present in the treatment-resistant schizophrenia subgroup. ConclusionsWe show that DNAm data can be leveraged to derive measures of blood cell counts and smoking that are strongly associated with psychosis. Our DNAm meta-analysis identified multiple DMPs associated with both psychosis and a more refined diagnosis of schizophrenia, with evidence for differential methylation associated with treatment-resistant schizophrenia that potentially reflects exposure to clozapine.

genomics↗