A5034260947- Physical Activity and Health
- Mobile Health and mHealth Applications
- Obesity, Physical Activity, Diet
- Behavioral Health and Interventions
- Obstructive Sleep Apnea Research
- Neuroscience of respiration and sleep
- Cardiovascular and exercise physiology
- Sleep and related disorders
- Health and Lifestyle Studies
- Psychological Well-being and Life Satisfaction
- Eating Disorders and Behaviors
- Cardiovascular Health and Risk Factors
Arizona State University
2015-2023
Phoenix VA Health Care System
2016
Emerging interventions that rely on and harness variability in behavior to adapt individual performance over time may outperform prescribe static goals (e.g., 10,000 steps/day). The purpose of this factorial trial was compare adaptive vs. goal setting immediate delayed, non-contingent financial rewards for increasing free-living physical activity (PA). A 4-month 2 × randomized controlled tested main effects (adaptive goals) (immediate delayed) interactions between factors increase steps/day...
Regular aerobic physical activity (PA) is an important component of healthy aging. However, only 27%-40% African American women achieve national PA guidelines. Available data also show a clear decline in as transition from young adulthood (ie, 25-44 years) into midlife. This during midlife coincides with increased risk for developing cardiometabolic disease conditions, including obesity, type 2 diabetes, and cardiovascular disease. Thus, effective efforts are needed to promote among...
This article reports the results of Smart Walk: a randomized pilot trial an 8-month culturally tailored, smartphone-delivered physical activity (PA) intervention for African American women with obesity. Sixty participants (age range = 24−49 years; BMI 30−58 kg/m2) were to Walk (n 30) or wellness comparison 30). Results supported acceptability and feasibility intervention, as demonstrated by participant retention (85% at 4 months 78% 8 months), app use, satisfaction (i.e., 100% PA completing...
BeWell24: development and process evaluation of a smartphone "app" to improve sleep, sedentary, active behaviors in US Veterans with increased metabolic risk Matthew P. Buman, PhD, PhD 1School Nutrition Health Promotion, Arizona State University, 500 N. 3rd Street, Mail Code 9020, Phoenix, AZ 85004-2135, USA amatthew.buman@asu.edu Search for other works by this author on: Oxford Academic PubMed Google Scholar Dana R. Epstein, RN, RN 2Phoenix Affairs Care System, 85012, USA3College Nursing...
Walking is a widely accepted and frequently targeted health promotion approach to increase physical activity (PA). Interventions PA have produced only small improvements. Stronger more potent behavioral intervention components are needed time spent in PA, improve cardiometabolic risk markers, optimize health.
Background Smart Walk is a culturally relevant, social cognitive theory–based, smartphone-delivered intervention designed to increase physical activity (PA) and reduce cardiometabolic disease risk among African American (AA) women. Objective This study aimed describe the development initial usability testing results of Walk. Methods was developed in 5 phases. Phases 1 3 focused on development, phase 4 involved testing, included refinement based results. In 1, series 9 focus groups with 25 AA...
Background: Although current technological advancements have allowed for objective measurements of sedentary behavior via accelerometers, these devices do not provide the contextual information needed to identify targets behavioral interventions and generate public health guidelines reduce behavior. Thus, self-reports still remain an important method measurement physical activity behaviors.
Prolonged bouts of sedentary time, independent from the time spent in engaging physical activity, significantly increases cardiometabolic risk. Nonetheless, modern workforce spends large, uninterrupted portions day seated at a desk. Previous research suggests-via improved biomarkers-that this risk might be attenuated by simply disrupting with brief breaks standing or moving. However, evidence is derived acute, highly controlled laboratory experiments and thus has low external validity.This...
Mobile devices provide a convenient platform for log-based assessments of sedentary and physical activity (PA) behaviors. PURPOSE: This study aimed to evaluate the accuracy smartphone-based “app” designed assess context-specific forms sitting, light-intensity PA (LPA), moderate-vigorous (MVPA). METHODS: Adults (N=23 [323 observations]; 49.0±8.9 years; 85% men; 73% Caucasian; BMI=35.0±8.3kg/m2) reported their LPA, MVPA over course an 11-week behavioral intervention. During three separate 7d...
<sec> <title>BACKGROUND</title> Prolonged bouts of sedentary time, independent from the time spent in engaging physical activity, significantly increases cardiometabolic risk. Nonetheless, modern workforce spends large, uninterrupted portions day seated at a desk. Previous research suggests—via improved biomarkers—that this risk might be attenuated by simply disrupting with brief breaks standing or moving. However, evidence is derived acute, highly controlled laboratory experiments and thus...
Objective To investigate the feasibility and acceptability of SleepWell24, a multicomponent, evidence-based smartphone application, to improve positive airway pressure therapy (PAP) adherence, among patients with obstructive sleep apnea (OSA) naive PAP.
Abstract Introduction We aimed to test the feasibility and acceptability of SleepWell24, a multicomponent, smartphone-delivered intervention increase positive airway pressure (PAP) adherence among newly diagnosed OSA patients. Methods SleepWell24 targets PAP along with other health behaviors through education, trouble-shooting, goal-setting, near real-time biofeedback machine use, sleep physical activity levels (via Fitbit integration), chronic disease self-management components. Patients...
<sec> <title>BACKGROUND</title> Regular aerobic physical activity (PA) is an important component of healthy aging. However, only 27%-40% African American women achieve national PA guidelines. Available data also show a clear decline in as transition from young adulthood (ie, 25-44 years) into midlife. This during midlife coincides with increased risk for developing cardiometabolic disease conditions, including obesity, type 2 diabetes, and cardiovascular disease. Thus, effective efforts are...