Xiangfei Meng

Associate ProfessorXiangfei Meng

Department of Epidemiology, Biostatistics and Occupational Health & Department of Psychiatry
McGill University
Douglas Research Centre
6875 boul. LaSalle
Montreal, Quebec, H4H 1R2

E-Mail: xiangfei.meng [at] mcgill.ca 
Tel.: 514-761-6131 Ext. 2352

Xiangfei Meng's research program aims to untangle the complex relationships between a wide range of psychosocial stressors across the lifespan and the population's mental health (including both positive mental health/ life satisfaction as well as common mental disorders). These psychosocial stressors are directly and indirectly related to social determinants of health, such as socioeconomic status, education, employment, occupation, race, ethnicity, etc. We have identified several critical social determinants of health are not only determining the trajectory of population mental health outcomes but also play a critical role in influencing key psychological and sociological attributes in mental health outcomes and related mental health services. Both consistent and discrepant findings are discovered for different populations, including children and youth, adults, and the aging population. My research team is leading a large longitudinal community-based cohort on population mental health with a rich data platform of biological, psychological, and sociological factors. Together with national population datasets and our longitudinal cohort, we are currently working the four major projects to address:1) the relatively long-term impact of the pandemic on positive mental health and life satisfaction for our population and population with different social determinants. 2) the complex relationships between stressors at different life stages in major depression and depression subtypes. 3) the impacts of Covid-19-related stressors in depression subtypes and the stability of depression subtypes among the national aging population; 4) whether exposure to early life stress is associated with a clinically distinct symptom pattern in two national representative samples of the general population as well as Armed forces members.

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