Literature DB >> 31860594

Sensor and Survey Measures Associated With Daily Fatigue in HIV: Findings From a Mixed-Method Study.

Mary Beth Makic1, Danielle Gilbert, Catherine Jankowski, Blaine Reeder, Nasser Al-Salmi, Whitney Starr, Paul F Cook.   

Abstract

Fatigue is the most common symptom among people living with HIV (PLWH), but may have many causes. This mixed-method study was designed to characterize PLWH's fatigue experiences and associated self-management behaviors, using Two Minds Theory. Fifty-five PLWH completed daily smartphone surveys on psychological states and fatigue at random times for 30 days and used a Fitbit Alta™ wristband. Within-person multilevel models were used to identify univariate correlates of fatigue. The first 25 participants also completed qualitative interviews about their experiences, and results were compared across methods. Participants had significant fatigue despite well-controlled HIV. Fatigue varied between persons and over time. Fatigue was associated with physical activity, sleep, daily psychological states, and barriers to self-care. PLWH reported new insights into fatigue from self-monitoring. There are potential opportunities for PLWH to improve sleep, activity, or stress management to alleviate fatigue. PLWH were interested in reducing fatigue and willing to use self-monitoring technology.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 31860594     DOI: 10.1097/JNC.0000000000000152

Source DB:  PubMed          Journal:  J Assoc Nurses AIDS Care        ISSN: 1055-3290            Impact factor:   1.354


  2 in total

Review 1.  The Impact of Wearable Technologies in Health Research: Scoping Review.

Authors:  Sophie Huhn; Miriam Axt; Hanns-Christian Gunga; Martina Anna Maggioni; Stephen Munga; David Obor; Ali Sié; Valentin Boudo; Aditi Bunker; Rainer Sauerborn; Till Bärnighausen; Sandra Barteit
Journal:  JMIR Mhealth Uhealth       Date:  2022-01-25       Impact factor: 4.773

2.  Low- and High-Intensity Physical Activity Among People with HIV: Multilevel Modeling Analysis Using Sensor- and Survey-Based Predictors.

Authors:  Paul Cook; Catherine Jankowski; Kristine M Erlandson; Blaine Reeder; Whitney Starr; Mary Beth Flynn Makic
Journal:  JMIR Mhealth Uhealth       Date:  2022-04-14       Impact factor: 4.947

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.