Low- and High-Intensity Physical Activity Among People with HIV: Multilevel Modeling Analysis Using Sensor- and Survey-Based Predictors.
Paul F CookCatherine M JankowskiKristine M ErlandsonBlaine ReederWhitney StarrMary Beth Flynn MakicPublished in: JMIR mHealth and uHealth (2022)
Some predictors of physical activity, such as HRV, were only apparent based on sensor data, whereas others, such as fatigue, could be measured via self-report. Findings about coping were unexpected; however, other findings were in line with the literature. This study extends our prior knowledge on physical activity by demonstrating a prospective effect of everyday experiences on physical activity behavior, which is in line with the predictions of Two Minds Theory. Clinicians can support the physical activity of people with HIV by helping their patients reduce their daily stress, fatigue, and barriers to self-care.
Keyphrases
- physical activity
- high intensity
- body mass index
- sleep quality
- antiretroviral therapy
- hiv infected
- hiv positive
- human immunodeficiency virus
- end stage renal disease
- hepatitis c virus
- healthcare
- hiv testing
- depressive symptoms
- hiv aids
- newly diagnosed
- magnetic resonance
- men who have sex with men
- chronic kidney disease
- prognostic factors
- resistance training
- ejection fraction
- machine learning
- electronic health record
- peritoneal dialysis
- palliative care
- computed tomography
- artificial intelligence
- big data
- contrast enhanced