Nancy E Mayo1,2,3, Marie-Josée Brouillette4,5,6,7, Susan C Scott8, Marianne Harris9,10, Fiona Smaill11, Graham Smith12, Réjean Thomas13, Lesley K Fellows7,14. 1. Department of Medicine, School of Physical and Occupational Therapy, McGill University, Montreal, Canada. nancy.mayo@mcgill.ca. 2. Division of Clinical Epidemiology, McGill University Health Centre (MUHC), Center for Outcomes Research and Evaluation, MUHC-RI, Royal Victoria Hospital Site, Ross Pavilion R4.29, 687 Pine Ave W, Montreal, QC, H3A 1A1, Canada. nancy.mayo@mcgill.ca. 3. Division of Geriatrics, McGill University Health Centre (MUHC), Center for Outcomes Research and Evaluation, MUHC-RI, Royal Victoria Hospital Site, Ross Pavilion R4.29, 687 Pine Ave W, Montreal, QC, H3A 1A1, Canada. nancy.mayo@mcgill.ca. 4. Department of Psychiatry, McGill University, Montreal, Canada. 5. Chronic Viral Illness Service, McGill University Health Centre (MUHC), Montreal, Canada. 6. Infectious Diseases and Immunity in Global Health Program, MUHC-RI, Montreal, Canada. 7. Canadian Institutes of Health Research Canadian HIV Trials Network, Vancouver, BC, Canada. 8. Division of Clinical Epidemiology, McGill University Health Centre (MUHC), Center for Outcomes Research and Evaluation, MUHC-RI, Royal Victoria Hospital Site, Ross Pavilion R4.29, 687 Pine Ave W, Montreal, QC, H3A 1A1, Canada. 9. Department of Family Practice, Faculty of Medicine, University of British Columbia, Vancouver, Canada. 10. BC Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada. 11. Special Immunology Services, McMaster University, Hamilton, ON, Canada. 12. Maple Leaf Medical Clinic, Toronto, ON, Canada. 13. Clinique Médicale l'Actuel, Montreal, QC, Canada. 14. Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, 3801 University St, Montreal, QC, H3A 2B4, Canada.
Abstract
OBJECTIVE: To estimate the extent to which HIV-related variables, cognition, and other brain health factors interrelate with other HIV-associated symptoms to influence function, health perception, and QOL in older HIV+ men in Canada. DESIGN: Cross-sectional structural equation modelling (SEM) of data from the inaugural visit to the Positive Brain Health Now Cohort. SETTING: HIV clinics at 5 Canadian sites. SUBJECTS: 707 men, age ≥ 35 years, HIV+ for at least one year, without clinically diagnosed dementia. MAIN OUTCOME MEASURES: Five latent and 21 observed variables from the World Health Organization's biopsychosocial model for functioning and disability and the Wilson-Cleary Model were analysed. SEM was used to link disease factors to symptoms, impairments, function, health perception, and QOL with a focus on cognition. RESULTS: QOL was explained directly by depression, social role, health perception, social support, and quality of the environment. Measured cognitive performance had direct effects on activity/function and indirect effects on participation, HP and QOL, acting through self-reported cognitive difficulties and meaningful activities. CONCLUSION: The biopsychosocial model showed good fit, with RMSEA < 0.05. This is the first time the full model has been tested in HIV. All of the domains included in the model are theoretically amenable to intervention and many have evidence-based interventions that could be harnessed to improve QOL.
OBJECTIVE: To estimate the extent to which HIV-related variables, cognition, and other brain health factors interrelate with other HIV-associated symptoms to influence function, health perception, and QOL in older HIV+ men in Canada. DESIGN: Cross-sectional structural equation modelling (SEM) of data from the inaugural visit to the Positive Brain Health Now Cohort. SETTING: HIV clinics at 5 Canadian sites. SUBJECTS: 707 men, age ≥ 35 years, HIV+ for at least one year, without clinically diagnosed dementia. MAIN OUTCOME MEASURES: Five latent and 21 observed variables from the World Health Organization's biopsychosocial model for functioning and disability and the Wilson-Cleary Model were analysed. SEM was used to link disease factors to symptoms, impairments, function, health perception, and QOL with a focus on cognition. RESULTS: QOL was explained directly by depression, social role, health perception, social support, and quality of the environment. Measured cognitive performance had direct effects on activity/function and indirect effects on participation, HP and QOL, acting through self-reported cognitive difficulties and meaningful activities. CONCLUSION: The biopsychosocial model showed good fit, with RMSEA < 0.05. This is the first time the full model has been tested in HIV. All of the domains included in the model are theoretically amenable to intervention and many have evidence-based interventions that could be harnessed to improve QOL.
Entities:
Keywords:
Cognition; Disability; Health outcomes; Multivariable models; Quality of life
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