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Webel, Allison R.

https://orcid.org/0000-0002-7538-5780

Mayo Clinic

University of Washington

Citations 3

Association between housing instability and frailty among people with HIV
Fahey, Carolyn A. , Drumright, Lydia N. , Fredericksen, Rob J. , Yendewa, George A. , Karris, Maile , Mixson, L. Sarah , Agil, Deana , Burkholder, Greer , Bamford, Laura , Fleming, Julia, Hahn, Andrew W. , Austad, Steven N. , Cachay, Edward R. , Kitahata, Mari M. , Saag, Michael S, Crane, Heidi M. , Whitney, Bridget M. , Cachay, Edward, Drumright, Lydia N , Ruderman, Stephanie A. , Napravnik, Sonia , Webel, Allison R. , Mayer, Kenneth Hugh , Fleming, Julia, Kritchevsky, Stephen B. , Delaney, Joseph A. , Saag, Michael S.

AIDS | October 7, 2025 | Volume: 40 | Issue: 1 | Pages: 90-99

10.1097/qad.0000000000004370 Get It

Background: Housing instability and HIV are both associated with early onset of aging-related health conditions, including frailty. However, little is known about the relationship between housing and frailty among people with HIV. Methods: We analyzed data on adults in HIV care collected during routine clinical visits at 6 sites within the US Centers for AIDS Research Network of Integrated Clinical Systems (CNICS) between 2019 and 2024. We measured frailty using a previously validated approach, defined as having at least three of four components (fatigue, weight loss, immobility, inactivity) vs. less than three components. Housing status was based on self-perceived living situation in the past month (“Stable,” “Unstable,” “Homeless,” or “Don’t know”). We estimated the association between most recent housing status and frailty with prevalence ratios from relative risk regression adjusted for sociobehavioral and clinical characteristics. Results: Among 6961 people with HIV (84% men, 16% women) with a median age of 52 years (IQR: 40–60), 11% ( n = 760) were frail and 9% ( n = 625) were unstably housed (5% unstable, 3% homeless, 1% do not know). Compared to individuals with stable housing, the prevalence of frailty more than doubled among those experiencing unstable housing [prevalence ratio = 2.41, 95% confidence interval (95% CI): 1.95–2.97] or homelessness (prevalence ratio = 2.05, 95% CI: 1.56–2.69). Stratified analyses indicated stronger associations among younger vs. older individuals and among those virally suppressed vs. unsuppressed. Conclusion: Housing instability and frailty were both prevalent and strongly associated among adults in HIV care, including within younger and virally suppressed subgroups. These findings highlight the importance of social determinants of health for clinical outcomes among all people with HIV.
Alcohol use disorder, but not current alcohol use is associated with falls among people with HIV in care
Dai, Mindy , Chander, Geetanjali , Webel, Allison R. , Whitney, Bridget M. , Christopoulos, Katerina , Moore, Richard D. , Keruly, Jeanne , Bamford, Laura , Cachay, Edward R. , McCaul, Mary E. , Fredericksen, Rob J. , Yendewa, George A. , Saag, Michael S. , Crane, Heidi M. , Cachay, Edward, Delaney, Joseph A. , Mayer, Kenneth Hugh , Christopoulos, Katerina A. , Napravnik, Sonia , Lesko, Catherine R. , Drumright, Lydia N.

AIDS | August 12, 2025 | Volume: 39 | Issue: 14 | Pages: 2094-2102

10.1097/qad.0000000000004317 Get It

Background: Current understanding of associations between alcohol use and falls among people with HIV (PWH) is limited due to few and inconsistent studies. Given the prevalence of heavy episodic alcohol use reported among PWH, this remains an important question. Methods: Alcohol use was measured using the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) and self-reported alcohol use treatment and/or diagnosis of alcohol use disorder (collectively AUD) among PWH at eight CFAR Network of Integrated Clinical Systems (CNICS) sites from 2021 to 2024. Falls were self-reported using the components of the Falls Risk for Older People in the Community (FROP-Com) questionnaire. Cross-sectional associations between alcohol use and falls were examined using relative risk models adjusted for age, sex, race/ethnicity, and geographic location. Results: Among 5729 PWH, mean age was 55 years; 42% reported White and 41% reported Black/African American race/ethnicity; and 81% were male. Mean AUDIT-C score was 1.9 (range: 0–12); 27% reported heavy episodic drinking; 22% had AUD; and 22% reported falling in the past year. Reporting at least one fall in the past year was not associated with any measure of current alcohol use. AUD was associated with reporting at least one fall [prevalence ratio = 1.54; 95% confidence interval (CI) 1.39–1.70] and number of falls [one fall: prevalence ratio = 1.27 (95% CI: 1.08–1.50); at least two falls: prevalence ratio = 1.84 (95% CI: 1.58–2.15)]. Conclusion: Among PWH, 22% reported falling, which was associated with AUD, but not current alcohol use, suggesting that a mechanism other than acute intoxication could be responsible. Further longitudinal research is warranted to explore mechanisms for why AUD, but not current alcohol use, is associated with falls.