A5024828034- Mobile Health and mHealth Applications
- Physical Activity and Health
- Obesity, Physical Activity, Diet
- Cardiovascular Health and Risk Factors
- Eating Disorders and Behaviors
- Cardiac Health and Mental Health
- Nutritional Studies and Diet
- Behavioral Health and Interventions
- Global Public Health Policies and Epidemiology
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Sleep and related disorders
- Obstructive Sleep Apnea Research
- Digital Mental Health Interventions
- Sleep and Wakefulness Research
- Blood Pressure and Hypertension Studies
- Health and Lifestyle Studies
- HIV-related health complications and treatments
- Health disparities and outcomes
- Global Health and Surgery
- Cardiovascular and exercise physiology
- HIV/AIDS Impact and Responses
- Health Systems, Economic Evaluations, Quality of Life
- Diet and metabolism studies
- Geriatric Care and Nursing Homes
- Ergonomics and Musculoskeletal Disorders
Emory University
2023-2025
Seattle University
2025
University of Pittsburgh
2017-2023
University of Massachusetts Boston
2013-2017
Boston College
2015
Beth Israel Deaconess Medical Center
2013
Self-monitoring (SM) is the centerpiece of behavioral weight loss treatment, but efficacy smartphone-delivered SM feedback (FB) has not been tested in large, long-term, randomized trials.The aim this study was to establish providing remote FB diet, physical activity (PA), and on improving outcomes when comparing plus (SM+FB) condition SM-only a 12-month controlled trial. The single-site, population-based trial that took place southwestern Pennsylvania, USA, conducted between 2018 2021....
This study aimed to test the efficacy of self-monitoring and feedback (SM+FB) versus SM without FB (SM) in a behavioral weight-loss intervention at 6 months.
Abstract Objective The SMARTER mobile health (mHealth) weight‐loss trial compared adherence to self‐monitoring (SM) of diet, physical activity (PA), and weight study‐prescribed diet PA goals between SM + feedback (SM FB) SM‐only arms over 12 months. Methods Participants used digital tools monitor their dietary intake, PA, weight. We applied generalized linear mixed modeling compare patterns monthly behavioral groups time examine the association with ≥5% loss. Results sample ( N = 502) was...
Background: About 80% of the global burden cardiovascular disease (CVD) is in developing countries that are also struggling with a high communicable diseases. In sub-Saharan Africa (SSA), CVD projected to be leading cause mortality by 2030. Yet, only few studies have employed evidence-based screening strategies, and little known about distribution key drivers risk region. this study, we computed absolute score examined associated demographic lifestyle factors sample rural community-dwelling...
Background: Mobile health (mHealth) interventions may provide a more accessible approach to broader segment of the population needing weight loss treatment. Little is known about individuals’ perceptions remotely-delivered diet-related feedback (FB) messages. Methods: The aim this analysis was assess FB among participants randomized intervention (n = 251) SMARTER, controlled trial that examined efficacy 12-month mHealth targeting loss. Participants were asked self-monitor (SM) diet using...
Abstract The integration of health and activity data from various wearable devices into research studies presents technical operational challenges. Awesome Data Acquisition Method (ADAM) is a versatile, web-based system that was designed for integrating sources managing large-scale multiphase study. As collecting system, ADAM allows real-time collection through the device’s application programmable interface mobile app’s adaptive questionnaires. clinical trial management integrates processes...
Objective: People with HIV (PWH) face a heightened risk of cardiovascular diseases, partly because increased high blood pressure risk. This study assessed burden (i.e. incidence and prevalence) among PWH in Kenya over time. Design: Longitudinal, open cohort study. Methods: We estimated the prevalence large sample Kenyans from Coptic Hope Center using electronic medical records 2004 to 2023. defined incident as first visit after baseline at which each patient had SBP least 140 mmHg and/or DBP...
The rising prevalence of non-communicable diseases and associated premature mortality in Sub-Saharan Africa contradicts the widely accepted premise that African countries are only dominated by infectious diseases, malnutrition, maternal child deaths. Among hypertension diabetes mellitus continue to be leading cause death worldwide, with 10–20 million people estimated have 12 reported Africa. purpose this study was assess cardiovascular–metabolic characteristics individuals living one rural...
ABSTRACT Barriers to physical activity (PA) among African Americans (AA) have been extensively studied, yet there is limited research on innovative PA interventions designed address them. In recent years, many studies used the Internet promote PA, but very few included AA. this study, we sought input of AA focus groups inform development a web-based Physical Activity for Heart program inactive A qualitative design involving four stratified by sex and age was explore needs preferences...
Background Metabolic syndrome (MetS) and obstructive sleep apnea (OSA) are associated with increased risk of cardiometabolic disease. The co-occurrence OSA MetS is common, but there limited data on how exacerbates the metabolic impairments present in MetS. purpose this analysis was to examine a representative sample participants National Health Nutrition Examination Survey 2015–2018 cohorts (1) association modifiable factors severity (2) influence lifestyle behaviors severity. Methods...
Nonlaboratory-based (non-LB) algorithms have been developed to facilitate absolute cardiovascular risk assessment in resource-constrained settings. The non-LB Framingham algorithm, which substitute BMI for lipids laboratory-based Framingham, exhibits best performance among algorithms. However, its external validity has not evaluated.To examine the of algorithm Atherosclerosis Risk Communities dataset, and contrast with algorithm.We Cox regression models including covariates dataset....
It remains unclear if and how body mass index (BMI) levels have changed over time in HIV endemic regions. We described trends mean BMI prevalence of overweight between 2003–2019 10 countries Africa including people living with (PLWH) without (PLWoH) HIV. pooled Demographic Health Surveys (DHS) from where ≥2 surveys >4 years apart were available height/weight measurements tests. status was ascertained a finger-prick dried blood spot (DBS) specimen tested laboratory. The DBS is taken as...
Research is needed to inform tailoring supportive strategies for promoting physical activity (PA) in the context of behavioral treatment obesity. We aimed identify baseline participant characteristics and short-term intervention response predictors associated with adherence study-defined PA goal a mobile health (mHealth) weight loss trial.
Adding feedback messages (FB) to self-monitoring (SM) may reinforce behavior change. However, socio-environmental conditions (e.g., limited access parks or low walkability) limit one's ability respond FB focused on physical activity (PA). In this analysis, we hypothesized that high neighborhood walkability will positively modify the treatment effect of PA, and residents neighborhoods achieve higher PA levels at 12 months than those in neighborhoods. The study is a secondary analysis 12-month...