The Effect of an HIV Self-Management Intervention on Neurocognitive Behavioral Processing

Webel, Allison R.; Schreiner, Nathanial; Salata, Robert A.; Friedman, Jared; Jack, Anthony I.; Sattar, Abdus; Fresco, David M.; Rodriguez, Margaret; Moore, Shirley

doi:10.1177/0193945918823347

Cited by 4 publications

(6 citation statements)

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“…For example, we did not collect data on the number or type of coexisting chronic conditions or perceptions of social support for selfmanagement. Although our results should be interpreted with caution, the current study adds to an emerging body of research exploring associations between brain activation and self-management behaviors related to hypertension self-management and health status (Jones et al, 2019;Webel et al, 2019). Further research is needed to elucidate the underlying mechanisms of brain-based approaches to self-management across populations with different chronic conditions.…”

Section: Strengths and Limitations Of The Studymentioning

confidence: 83%

“…A few investigations explored the brain–behavior connections of effective self-management of chronic conditions (Jack et al, 2013; Jones et al, 2019; Webel et al, 2019). Using the same fMRI protocol as the study reported herein, in a small study, Webel et al (2019) explored the effects of an HIV self-management intervention (targeting diet and exercise) on neurocognitive, behavioral processing over time, and improvements were observed with TPN task differentiation; however, advances in the neural networks did not demonstrate progress in self-management behaviors (e.g., diet and physical activity). Also, using the protocol used in the current study, Wright et al (2020) found that reported discrimination stress was associated with reduced activation of the DMN and vmPFC in African Americans enrolled in a BP self-management program.…”

Section: Discussionmentioning

confidence: 99%

“…Each participant was exposed to the same fixed sequence design: four runs, lasting 7 minutes 40 seconds, in the same order and temporal spacing standardized using E-Prime 2.0.10 software (Psychology Software Tools, Pittsburgh, PA; Jones et al, 2019; Moore et al, 2019). The fMRI protocol has been previously described (Jones et al, 2019; Webel et al, 2019), and brain scans were performed using a Siemens 3T Skyra scanner. Each scan begins with a T1-weighted structural MRI sequence to establish an anatomical baseline, followed by four T2-weighted functional task runs described above.…”

Section: Methodsmentioning

confidence: 99%

“…As part of a National Institutes of Health-funded center of excellence focused on the brainbehavior connections of self-management, a set of common data elements representing constructs frequently used in self-management frameworks to examine the processes, behaviors, and outcomes of chronic disease management was employed (Moore et al, 2020). The common data elements comprise both subjective and objective data and have been used by a few researchers (Jones et al, 2019;Moore et al, 2020;Still et al, 2021;Webel et al, 2019). Survey data for this study were collected directly in the REDCap (Research Electronic Database Capturing System; Harris et al, 2009Harris et al, , 2019, a secure web-based application that supports data collection via study iPads or computers.…”

Section: Self-management Cognitive Processes and Behaviors And Health...mentioning

confidence: 99%

“…In the current study, this region was explored because it has previously been found to predict health-promoting behaviors (Falk & Bassett, 2017). Only a few studies (Jones et al, 2019; Moore et al, 2019; Webel et al, 2019) have explored the relationships among brain activity, cognitive processes, and self-management behaviors.…”

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confidence: 99%

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Neural Processing of Health Information and Hypertension Self-Management in African Americans

et al. 2022

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Background: Uncontrolled blood pressure (BP) rates are persistently high among African Americans with hypertension. Although self-management is critical to controlling BP, little is known about the brain-behavior connections underlying the processing of health information and the performance of self-management activities.Objectives: In this pilot study, we explored the associations among neural processing of two types of health information and a set of self-management cognitive processes (self-efficacy, activation, decision-making, and hypertension knowledge) and behaviors (physical activity, dietary intake, and medication taking) and health status indicators (BP, health-related quality of life, anxiety, and depression).Methods: Using a descriptive cross-sectional design, 16 African Americans with uncontrolled hypertension (mean age = 57. 5 years, 68.8% women) underwent functional magnetic resonance imaging to assess activation of two neural networks, the taskpositive network and the default mode network, and a region in the ventromedial prefrontal cortex associated with emotionfocused and analytic-focused health information. Participants completed self-reports and clinical assessments of selfmanagement processes, behaviors, and health status indicators.Results: Our hypothesis that neural processing associated with different types of health information would correlate with selfmanagement cognitive processes and behaviors and health status indicators was only partially supported. Home diastolic BP was positively associated with ventromedial prefrontal cortex activation (r = .536, p = .09); no other associations were found among the neural markers and self-management or health status variables. Expected relationships were found among the selfmanagement processes and behaviors and health status indicators.Discussion: To advance our understanding of the neural processes underlying health information processing and chronic illness self-management, future studies are needed that use larger samples with more heterogeneous populations and additional neuroimaging techniques.

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Section: Strengths and Limitations Of The Studymentioning

confidence: 83%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Self-management Cognitive Processes and Behaviors And Health...mentioning

confidence: 99%

mentioning

confidence: 99%

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Neural Processing of Health Information and Hypertension Self-Management in African Americans

et al. 2022

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Neuromarkers associated with two levels of physical activity in persons with chronic conditions

Wenzell,

Moore,

Still

et al. 2023

Journal of Applied Physiology

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While research has largely focused on the effects of physical activity (PA) on the brain, less in known about the influence of the brain on engagement in healthy-living behaviors, such as regular PA. In this secondary analysis of a study of brain activity and participation in healthy-living behaviors, we examined relationships between activation of selected brain networks and PA in persons self-managing chronic conditions. Fifty-eight individuals with chronic conditions underwent functional magnetic resonance imaging while exposed to a protocol consisting of listening to emotion-focused and analytic-focused information and measures of activation of three neuromarkers were obtained: default mode network (DMN), task positive network (TPN), and ventromedial prefrontal cortex (vmPFC). In an exploratory analysis we assessed differences in neuromarker activation between two PA levels (representing higher and lower accelerometry-measured PA levels) of (a) moderate-to-vigorous physical activity (MVPA) minutes, (b) metabolic equivalents expended (METs) and (c) daily steps. Results showed positive associations between MVPA and DMN ( r= 0.31, p=.018), steps and DMN ( r=0.28, p=.035), and MVPA and vmPFC ( r=0.29, p=.026). No associations were found between the TPN and any of the PA measures. Individuals with high MVPA and METs had higher DMN values compared to those with low MVPA ( t=-2.17, p=.035) and METs ( t=-2.02, p=.048). No differences in TPN and vmPFC were found among PA levels. These results suggest that providing health information that activates the emotion-focused brain network may be more useful than analytic-focused information (centered on logic and reasoning) to assist people with chronic conditions to engage in more PA.

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Differences among physical activity actigraphy algorithms in three chronic illness populations

et al. 2022

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Objectives In three chronic illness populations and in a combined sample, we assessed differences in two algorithms to determine wear time (WT%) and four algorithms to determine: Kilocalories, light physical activity (PA), moderate-to-vigorous PA (MVPA), and metabolic equivalents (METs). Methods Data were collected from 29 people living with HIV (PLHIV), 27 participants recovering from a cardiac event, and 15 participants with hypertension (HTN). Participants wore the ActiGraphTM wGT3X-BT for > 3 days on their hip. Analysis of variance (ANOVA) was used to assess differences among the algorithms. Results No differences were found between the two algorithms to assess WT% or among the four algorithms to assess kilocalories in each of the chronic illness populations or in the combined sample. Significant differences were found among the four algorithms for light PA ( p < .001) and METs ( p < .001) in each chronic illness population and in the combined sample. MVPA was significantly different among the four algorithms in the PLHIV ( p = .007) and in the combined sample ( p < .001), but not in the cardiac ( p = .064) or HTN samples ( p = .200). Discussion Our findings indicate that the choice of algorithm does make a difference in PA determination. Differences in algorithms should be considered when comparing PA across different chronic illness populations.

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The Effect of an HIV Self-Management Intervention on Neurocognitive Behavioral Processing

Cited by 4 publications

References 44 publications

Neural Processing of Health Information and Hypertension Self-Management in African Americans

Neural Processing of Health Information and Hypertension Self-Management in African Americans

Neuromarkers associated with two levels of physical activity in persons with chronic conditions

Differences among physical activity actigraphy algorithms in three chronic illness populations

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