Does cognitive intra-individual variability predict change in everyday functioning performance in women with and without HIV in the Women’s Interagency HIV Study?

This study examined the association between cognitive intra-individual variability (IIV), a non-mean-based indicator of underlying neuropathology, and self-reported everyday functioning of 1,086 women with HIV (WWH) and 494 socio-demographically similar women without HIV (WWoH). Objective cognitive performance across seven domains and the self-rated Lawton & Brody scale of Instrumental Activities of Daily Living (IADL) were assessed among participants of the Women's Interagency HIV Study. Two types of cognitive IIV were calculated by taking the standard deviation across seven cognitive domains to calculate dispersion: 1) intra-individual standard deviation (denoted as <i>sd</i>IIV) and 2) coefficient of variation (denoted as <i>cov</i>IIV). To account for the longitudinal nature of the data, generalized linear mixed effect models were conducted to examine associations between the dispersion coefficient of cognitive IIV (predictor (<i>sd</i>IIV and <i>cov</i>IV)) and functional outcomes (item level scores). Models were conducted in the overall sample (WWH + WWoH), WWH only, virally suppressed (VS)-WWH, and WWoH. <i>sd</i>IIV and <i>cov</i>IIV were not associated with any of the IADL items among WWoH but were for WWH and VS-WWH. In WWH <i>cov</i>IIV was predictive of poorer functional performance on twice as many IADL items (10 items-money and bills, buying groceries, getting where you need to go, using the phone, home repairs, dressing, laundry, taking/keeping track of medications, taking care of children, work) than <i>sd</i>IIV (5 items). In this study, cognitive IIV predicts functional impairment and different calculations of IIV produce differential predictive value, especially for WWH.

Authors

Institutions

Publication Details

Journal
Applied Neuropsychology Adult
Published
2024-12-24
DOI
https://doi.org/10.1080/23279095.2024.2444573
Citations
5
Primary Topic
HIV Research and Treatment
Type
article
Field-Weighted Citation Impact
1.47

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Does cognitive intra-individual variability predict change in everyday functioning performance in women with and without HIV in the Women’s Interagency HIV Study?

Derek M. Dykxhoorn, Joel Milam, Deborah Gustafson, David E. Vance et al.
5 citations
Applied Neuropsychology Adult
HIV Research and Treatment
1.47
article

Does cognitive intra-individual variability predict change in everyday functioning performance in women with and without HIV in the Women’s Interagency HIV Study?

Derek M. Dykxhoorn, Joel Milam, Deborah Gustafson, David E. Vance, Monica M. Diaz, Raha Maryam Dastgheyb, Leah H. Rubin, Karl Goodkin, Yanxun Xu, Drenna Waldrop‐Valverde, Gayle Springer, Kathleen M. Weber, Deborah J. Konkle‐Parker, Matthew Wright, Pauline M. Maki, Kathryn Anastos, Seble Kassaye, Junghee Lee, J. Zhang, Mirjam‐Colette Kempf, Deborah L. Jones, Andrew J. Leviner
article en
5 citations

Abstract

This study examined the association between cognitive intra-individual variability (IIV), a non-mean-based indicator of underlying neuropathology, and self-reported everyday functioning of 1,086 women with HIV (WWH) and 494 socio-demographically similar women without HIV (WWoH). Objective cognitive performance across seven domains and the self-rated Lawton & Brody scale of Instrumental Activities of Daily Living (IADL) were assessed among participants of the Women's Interagency HIV Study. Two types of cognitive IIV were calculated by taking the standard deviation across seven cognitive domains to calculate dispersion: 1) intra-individual standard deviation (denoted as <i>sd</i>IIV) and 2) coefficient of variation (denoted as <i>cov</i>IIV). To account for the longitudinal nature of the data, generalized linear mixed effect models were conducted to examine associations between the dispersion coefficient of cognitive IIV (predictor (<i>sd</i>IIV and <i>cov</i>IV)) and functional outcomes (item level scores). Models were conducted in the overall sample (WWH + WWoH), WWH only, virally suppressed (VS)-WWH, and WWoH. <i>sd</i>IIV and <i>cov</i>IIV were not associated with any of the IADL items among WWoH but were for WWH and VS-WWH. In WWH <i>cov</i>IIV was predictive of poorer functional performance on twice as many IADL items (10 items-money and bills, buying groceries, getting where you need to go, using the phone, home repairs, dressing, laundry, taking/keeping track of medications, taking care of children, work) than <i>sd</i>IIV (5 items). In this study, cognitive IIV predicts functional impairment and different calculations of IIV produce differential predictive value, especially for WWH.

Applied Neuropsychology Adult
University of North Carolina at Chapel Hill (US), Albert Einstein College of Medicine (US), State University of New York (US), Montefiore Medical Center (US), Johns Hopkins University (US), University of Miami (US), Emory University (US), University of California, Los Angeles (US), SUNY Downstate Health Sciences University (US), Georgetown University (US), University of California, Irvine (US), Johns Hopkins Medicine (US), AIDS Clinical Trials Group (US), University of Mississippi Medical Center (US), University of Alabama at Birmingham (US), University of Illinois Chicago (US), Hektoen Institute (US), Dr. John T. Macdonald Foundation (US), Sidney Kimmel Comprehensive Cancer Center (US)
National Institutes of Health
Gender equality
Openalex Percentile: Top 17%
HIV Research and Treatment
1.47
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.