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CD(4+) T Cell Count, Sleep, Depression, and Anxiety in People Living With HIV: A Growth Curve Mixture Modeling

We investigated changes in CD(4+) T cell counts related to sleep quality, depression, anxiety, and sociodemographic variables in heterogeneous groups of people living with HIV in a 6-month prospective study. Our longitudinal study involved 247 ambulatory patients living with HIV and using antiretrov...

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Detalles Bibliográficos
Autores principales: Shi, Yirong, Yang, Chongming, Xu, Liumei, He, Yun, Wang, Hui, Cao, Jing, Wen, Min, Chen, Weimei, Wu, Baohong, Chen, Suqing, Chen, Huiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7497416/
https://www.ncbi.nlm.nih.gov/pubmed/31335460
http://dx.doi.org/10.1097/JNC.0000000000000112
Descripción
Sumario:We investigated changes in CD(4+) T cell counts related to sleep quality, depression, anxiety, and sociodemographic variables in heterogeneous groups of people living with HIV in a 6-month prospective study. Our longitudinal study involved 247 ambulatory patients living with HIV and using antiretroviral therapy. Sleep quality, anxiety, depression, and CD(4+) T cell counts were assessed three times at 3-month intervals. Growth curve mixture modeling was conducted to explore changes over time. A two-class mixture model with logarithmic change pattern fit the data best. For the majority of the sample (89.1%), anxiety, depression, and sleep quality did not change when CD(4+) T cells increased. For a small proportion of the sample (11.9%), sleep quality, anxiety, and depression deteriorated when CD(4+) T cells decreased. Marital status and alcohol use affected the classification significantly. Health care professionals should provide relevant services to people living with HIV with decreasing CD(4+) T cell counts.