Cargando…
Identification of Youthful Neurocognitive Trajectories in Adults Aging with HIV: A Latent Growth Mixture Model
Despite the neurocognitive risks of aging with HIV, initial cross-sectional data suggest a subpopulation of older people with HIV (PWH) possess youthful neurocognition (NC) characteristic of SuperAgers (SA). Here we characterize longitudinal NC trajectories of older PWH and their convergent validity...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046348/ https://www.ncbi.nlm.nih.gov/pubmed/34878634 http://dx.doi.org/10.1007/s10461-021-03546-9 |
_version_ | 1784695504412606464 |
---|---|
author | Saloner, Rowan Lobo, Judith D. Paolillo, Emily W. Campbell, Laura M. Letendre, Scott L. Cherner, Mariana Grant, Igor Heaton, Robert K. Ellis, Ronald J. Roesch, Scott C. Moore, David J. |
author_facet | Saloner, Rowan Lobo, Judith D. Paolillo, Emily W. Campbell, Laura M. Letendre, Scott L. Cherner, Mariana Grant, Igor Heaton, Robert K. Ellis, Ronald J. Roesch, Scott C. Moore, David J. |
author_sort | Saloner, Rowan |
collection | PubMed |
description | Despite the neurocognitive risks of aging with HIV, initial cross-sectional data suggest a subpopulation of older people with HIV (PWH) possess youthful neurocognition (NC) characteristic of SuperAgers (SA). Here we characterize longitudinal NC trajectories of older PWH and their convergent validity with baseline SA status, per established SuperAging criteria in PWH, and baseline biopsychosocial factors. Growth mixture modeling (GMM) identified longitudinal NC classes in 184 older (age ≥ 50-years) PWH with 1–5 years of follow-up. Classes were defined using ‘peak-age’ global T-scores, which compare performance to a normative sample of 25-year-olds. 3-classes were identified: Class 1(Stable Elite) (n = 31 [16.8%], high baseline peak-age T-scores with flat trajectory); Class 2(Quadratic Average) (n = 100 [54.3%], intermediate baseline peak-age T-scores with u-shaped trajectory); Class 3(Quadratic Low) (n = 53 [28.8%], low baseline peak-age T-scores with u-shaped trajectory). Baseline predictors of Class 1(Stable Elite) included SA status, younger age, higher cognitive and physiologic reserve, and fewer subjective cognitive difficulties. This GMM analysis supports the construct validity of SuperAging in older PWH through identification of a subgroup with longitudinally-stable, youthful neurocognition and robust biopsychosocial health. |
format | Online Article Text |
id | pubmed-9046348 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-90463482022-05-07 Identification of Youthful Neurocognitive Trajectories in Adults Aging with HIV: A Latent Growth Mixture Model Saloner, Rowan Lobo, Judith D. Paolillo, Emily W. Campbell, Laura M. Letendre, Scott L. Cherner, Mariana Grant, Igor Heaton, Robert K. Ellis, Ronald J. Roesch, Scott C. Moore, David J. AIDS Behav Original Paper Despite the neurocognitive risks of aging with HIV, initial cross-sectional data suggest a subpopulation of older people with HIV (PWH) possess youthful neurocognition (NC) characteristic of SuperAgers (SA). Here we characterize longitudinal NC trajectories of older PWH and their convergent validity with baseline SA status, per established SuperAging criteria in PWH, and baseline biopsychosocial factors. Growth mixture modeling (GMM) identified longitudinal NC classes in 184 older (age ≥ 50-years) PWH with 1–5 years of follow-up. Classes were defined using ‘peak-age’ global T-scores, which compare performance to a normative sample of 25-year-olds. 3-classes were identified: Class 1(Stable Elite) (n = 31 [16.8%], high baseline peak-age T-scores with flat trajectory); Class 2(Quadratic Average) (n = 100 [54.3%], intermediate baseline peak-age T-scores with u-shaped trajectory); Class 3(Quadratic Low) (n = 53 [28.8%], low baseline peak-age T-scores with u-shaped trajectory). Baseline predictors of Class 1(Stable Elite) included SA status, younger age, higher cognitive and physiologic reserve, and fewer subjective cognitive difficulties. This GMM analysis supports the construct validity of SuperAging in older PWH through identification of a subgroup with longitudinally-stable, youthful neurocognition and robust biopsychosocial health. Springer US 2021-12-08 2022 /pmc/articles/PMC9046348/ /pubmed/34878634 http://dx.doi.org/10.1007/s10461-021-03546-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Saloner, Rowan Lobo, Judith D. Paolillo, Emily W. Campbell, Laura M. Letendre, Scott L. Cherner, Mariana Grant, Igor Heaton, Robert K. Ellis, Ronald J. Roesch, Scott C. Moore, David J. Identification of Youthful Neurocognitive Trajectories in Adults Aging with HIV: A Latent Growth Mixture Model |
title | Identification of Youthful Neurocognitive Trajectories in Adults Aging with HIV: A Latent Growth Mixture Model |
title_full | Identification of Youthful Neurocognitive Trajectories in Adults Aging with HIV: A Latent Growth Mixture Model |
title_fullStr | Identification of Youthful Neurocognitive Trajectories in Adults Aging with HIV: A Latent Growth Mixture Model |
title_full_unstemmed | Identification of Youthful Neurocognitive Trajectories in Adults Aging with HIV: A Latent Growth Mixture Model |
title_short | Identification of Youthful Neurocognitive Trajectories in Adults Aging with HIV: A Latent Growth Mixture Model |
title_sort | identification of youthful neurocognitive trajectories in adults aging with hiv: a latent growth mixture model |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046348/ https://www.ncbi.nlm.nih.gov/pubmed/34878634 http://dx.doi.org/10.1007/s10461-021-03546-9 |
work_keys_str_mv | AT salonerrowan identificationofyouthfulneurocognitivetrajectoriesinadultsagingwithhivalatentgrowthmixturemodel AT lobojudithd identificationofyouthfulneurocognitivetrajectoriesinadultsagingwithhivalatentgrowthmixturemodel AT paolilloemilyw identificationofyouthfulneurocognitivetrajectoriesinadultsagingwithhivalatentgrowthmixturemodel AT campbelllauram identificationofyouthfulneurocognitivetrajectoriesinadultsagingwithhivalatentgrowthmixturemodel AT letendrescottl identificationofyouthfulneurocognitivetrajectoriesinadultsagingwithhivalatentgrowthmixturemodel AT chernermariana identificationofyouthfulneurocognitivetrajectoriesinadultsagingwithhivalatentgrowthmixturemodel AT grantigor identificationofyouthfulneurocognitivetrajectoriesinadultsagingwithhivalatentgrowthmixturemodel AT heatonrobertk identificationofyouthfulneurocognitivetrajectoriesinadultsagingwithhivalatentgrowthmixturemodel AT ellisronaldj identificationofyouthfulneurocognitivetrajectoriesinadultsagingwithhivalatentgrowthmixturemodel AT roeschscottc identificationofyouthfulneurocognitivetrajectoriesinadultsagingwithhivalatentgrowthmixturemodel AT mooredavidj identificationofyouthfulneurocognitivetrajectoriesinadultsagingwithhivalatentgrowthmixturemodel AT identificationofyouthfulneurocognitivetrajectoriesinadultsagingwithhivalatentgrowthmixturemodel |