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Marcus Bennett Wolfe Sr.

PhD Candidate & Adjunct Faculty of Gerontology, Concordia University Chicago
Chapter Member: Chicagoland SSN

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About Marcus

Wolfe's research focuses on intergenerational contact, resilience, perceptions of aging, slowing and cognition as people age. Overarching themes in Wolfe's writings are public health, health disparities, resilience, and tele-health.

In the News

Marcus Bennett Wolfe Sr. quoted by Kadesha Thomas, "Tackling Health Disparities with Community Ties" University of Chicago, November 16, 2010.


"Perceived Healthy Aging: The Role of Spirituality for Older Adults Diagnosed with HIV," 7th International Conference on Aging and Spirituality, December 31, 1969.

Notes that spirituality plays a significant role with regards to coping/surviving strategies and aging.

"Perceptions of Healthy Aging: Exploring Aging Well for HIV-Infected and Non-Infected Older People" (with L. K. Manning, R. Shah, and A. Jimenez). Innovation in Aging 1 (July 2017): 1233-1234.

Notes that emerging data suggests that minorities are disproportionately affected by these premature chronic conditions, yet few studies have examined these chronic conditions for older adults who are HIV positive. Examines older adults’ views on behavioral and social factors that promote and/or hamper wellness as people with HIV age.

"Building Community-Engaged Health Research and Discovery Infrastructure on the South Side of Chicago: Science in Service to Community Priorities" (with Stacy Tessler Lindau, Jennifer A. Makelarski, Marshall H. Chin, Shane Desautels, Daniel Johnson, Waldo E. Johnson Jr., Doriane Miller, Susan Peters, Connie Robinson, John Schneider, Florence Thicklin, Natalie P. Watson, and Eric Whitaker). Preventive Medicine 52, no. 3 (March-April 2011): 200-207.

Notes that community and university collaborators, with shared vision and principles, can effectively work together to plan innovative, large-scale community-based research that serves community needs and priorities. Finds that sustainable, effective models are needed to realize NIH’s mandate for meaningful translation.