Nancy E Mayo1, Marie-Josée Brouillette2, Lyne Nadeau3, Nandini Dendukuri4, Marianne Harris5, Fiona Smaill6, Graham Smith7, Réjean Thomas8, Lesley K Fellows9. 1. Department of Medicine, School of Physical and Occupational Therapy, Divisions of Clinical Epidemiology, Geriatrics and Experimental Medicine, McGill University, McGill University Health Centre (MUHC), Center for Outcomes Research and Evaluation, MUHC-RI, 5252 de Maisonneuve, Office 2B:43, Montreal, QC, H4A 3S536922, Canada. nancy.mayo@mcgill.ca. 2. Department of Psychiatry, McGill University, Chronic Viral Illness Service, McGill University Health Centre (MUHC), Infectious Diseases and Immunity in Global Health Program, MUHC-RI, Montreal, Canada. 3. Center for Outcomes Research and Evaluation, MUHC-RI, 5252 de Maisonneuve, Office 2B:43, Montreal, QC, H4A 3S5, Canada. 4. Department of Medicine, McGill University, Montreal, Canada. 5. Department of Family Practice, Faculty of Medicine, University Or British Columbia, BC Centre for Excellence in HIV/AIDS, Vancouver, BC, Canada. 6. Special Immunology Services, McMaster University, Hamilton, ON, Canada. 7. Maple Leaf Medical Clinic, Toronto, ON, Canada. 8. Clinique Médicale L'Actuel, Montreal, Québec, Canada. 9. Department of Neurology & Neurosurgery, McGill University, Montreal Neurological Institute, University St. Montreal, 3801, Montreal, QC, H3A 2B4, Canada.
Abstract
PURPOSE: The purpose of this study is to estimate the extent to which people aging with HIV meet criteria for successful aging as operationalized through HRQL and maintain this status over time. A second objective is to identify factors that place people at promise for continued successful aging, including environmental and resilience factors. METHODS: Participants were members of the Positive Brain Health Now (BHN) cohort. People ≥ 50 years (n = 513) were classified as aging successfully if they were at or above norms on 7 or 8 of 8 health-related quality of life domains from the RAND-36. Group-based trajectory analysis, regression tree analysis, a form of machine learning, and logistic regression were applied to identify factors predicting successful aging. RESULTS: 73 (14·2%) met criteria for successful aging at entry and did not change status over time. The most influential factor was loneliness which split the sample into two groups with the prevalence of successful aging 28·4% in the "almost never" lonely compared to 4·6% in the "sometimes/often" lonely group. Other influential factors were feeling safe, social network, motivation, stigma, and socioeconomic status. These factors identified 17 sub-groups with at least 30 members with the proportions classified as aging successfully ranging from 0 to 79·4%. The nine variables important to classifying successful aging had a predictive accuracy of 0.862. Self-reported cognition but not cognitive test performance improved this accuracy to 0.895. The two groups defined by successful aging status did not differ on age, sex or viral load, nadir and current. CONCLUSION: The results indicate the important role of social determinants of health in successful aging among people living with HIV.
PURPOSE: The purpose of this study is to estimate the extent to which people aging with HIV meet criteria for successful aging as operationalized through HRQL and maintain this status over time. A second objective is to identify factors that place people at promise for continued successful aging, including environmental and resilience factors. METHODS: Participants were members of the Positive Brain Health Now (BHN) cohort. People ≥ 50 years (n = 513) were classified as aging successfully if they were at or above norms on 7 or 8 of 8 health-related quality of life domains from the RAND-36. Group-based trajectory analysis, regression tree analysis, a form of machine learning, and logistic regression were applied to identify factors predicting successful aging. RESULTS: 73 (14·2%) met criteria for successful aging at entry and did not change status over time. The most influential factor was loneliness which split the sample into two groups with the prevalence of successful aging 28·4% in the "almost never" lonely compared to 4·6% in the "sometimes/often" lonely group. Other influential factors were feeling safe, social network, motivation, stigma, and socioeconomic status. These factors identified 17 sub-groups with at least 30 members with the proportions classified as aging successfully ranging from 0 to 79·4%. The nine variables important to classifying successful aging had a predictive accuracy of 0.862. Self-reported cognition but not cognitive test performance improved this accuracy to 0.895. The two groups defined by successful aging status did not differ on age, sex or viral load, nadir and current. CONCLUSION: The results indicate the important role of social determinants of health in successful aging among people living with HIV.
Authors: Theodore D Cosco; A Matthew Prina; Jaime Perales; Blossom C M Stephan; Carol Brayne Journal: Int Psychogeriatr Date: 2013-12-05 Impact factor: 3.878
Authors: Lauren Malaspina; Steven Paul Woods; David J Moore; Colin Depp; Scott L Letendre; Dilip Jeste; Igor Grant Journal: J Neurovirol Date: 2010-11-30 Impact factor: 2.643
Authors: Louise Lafortune; Steven Martin; Sarah Kelly; Isla Kuhn; Olivia Remes; Andy Cowan; Carol Brayne Journal: PLoS One Date: 2016-02-04 Impact factor: 3.240