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Articles by Bonnie Spring
A Bayesian Two‐Step Multiple Imputation Approach Based on Mixed Models for Missing EMA Data
BS between-subject ELPD expected log predictive density EMA ecological momentary assessments HMC Hamiltonian Monte Carlo MAR missing at random MBC1 Make Better Choices 1 MCAR missing completely at random MCMC Markov chain Monte Carlo MELS mixed-effects location scale MNAR missing not at random MVPA moderate-to-vigorous physical activity NUTS no-U-turn sampler PPC posterior predictive checking RILM random intercept linear mixed SPMELS shared parameter mixed effect location scale WS...
A machine-learned model for predicting weight loss success using weight change features early in treatment - npj Digital Medicine
Abstract Stepped-care obesity treatments aim to improve efficiency by early identification of non-responders and adjusting interventions but lack validated models. We trained a random forest classifier to improve the predictive utility of a clinical decision rule (>0.5 lb weight loss/week) that identifies non-responders in the first 2 weeks of a stepped-care weight loss trial (SMART). From 2009 to 2021, 1058 individuals with obesity participated in three studies: SMART, Opt-IN, and ENGAGED.
An Adaptive Behavioral Intervention for Weight Loss Management
Key Points Question Among people with obesity trying to lose weight, is a wireless system that provides daily feedback on progress in lifestyle change and weight loss noninferior to the same system combined with human coaching?
NCI-funded centers study new ways to apply telehealth across cancer care
Source/Disclosures Source: NIH. NCI awards $23 million to establish centers of excellence to study telehealth for cancer care (news release). Available at: www.nih.gov/news-events/news-releases/nih-awards-23-million-establish-centers-excellence-study-telehealth-cancer-care. Published Aug. 18, 2022. Accessed Dec. 27, 2022. Disclosures: Jensen, Morris, Sherman, Spring and Vanderpool report no relevant financial disclosures.
Effect of Low-Intensity vs High-Intensity Home-Based Walking Exercise on Walk Distance in Patients With Peripheral Artery Disease: The LITE Randomized Clinical Trial | JAMA | JAMA Network
Key Points Question Does a low-intensity (does not induce ischemic leg symptoms) home-based walking exercise intervention improve 6-minute walk distance more than a high-intensity (induces ischemic leg symptoms) home-based walking exercise intervention and does the low-intensity intervention improve 6-minute walk distance more than a nonexercise control (weekly health educational sessions only) among patients with lower-extremity peripheral artery disease (PAD)?
Effects of an abbreviated obesity intervention supported by mobile technology: The ENGAGED randomized clinical trial
Abstract Objective To determine the effects on weight loss of three abbreviated behavioral weight loss interventions with and without coaching and mobile technology. Methods A randomized controlled efficacy study of three 6‐month weight loss treatments was conducted in 96 adults with obesity: 1) self‐guided (SELF), 2) standard (STND), or 3) technology‐supported (TECH). STND and TECH received eight in‐person group treatment sessions.
Smartphone applications to support weight loss: current perspectives
Authors Pellegrini C, Pfammatter A, Conroy D, Spring B Received 3 April 2015 Accepted for publication 19 May 2015 Published 15 July 2015 Volume 2015:1 Pages 13—22 DOI https://doi.org/10.2147/AHCT.S57844 Checked for plagiarism Yes Review by Single-blind Peer reviewer comments 3 Editor who approved publication: Dr Utkan Demirci Christine A Pellegrini, Angela F Pfammatter, David E Conroy, Bonnie Spring Department of Preventive Medicine, Northwestern University Feinberg School of Medicine,...
Integrating Technology Into Standard Weight Loss Treatment: A Randomized Controlled Trial
[Skip to Content Landing] Figure 2. Participant flow. BMI indicates body mass index and VA, Veterans Affairs. Chronic pain was eliminated as a study entry criterion 1 year after the study began. Figure 3. Weight loss plotted over time for the connective mobile technology (+mobile) and standard groups. Weight loss was significantly greater for the +mobile group at 3, 6, and 9 months. Figure 4. Weight loss over time as a function of treatment assignment and MOVE! adherence.
Automated Personalized Feedback for Physical Activity and Dietary Behavior Change With Mobile Phones: A Randomized Controlled Trial on Adults
Citation Please cite as: Loading authors...
JMIR - Multicomponent mHealth Intervention for Large, Sustained Change in Multiple Diet and Activity Risk Behaviors: The Make Better Choices 2 Randomized Controlled Trial | Spring | Journal of Medical Internet Research
Citation Please cite as: Loading authors... Download: Published on 19.06.18 in Vol 20, No 6 (2018): June Preprints (earlier versions) of this paper are available at http://preprints.jmir.org/preprint/10528, first published Apr 03, 2018.
First Steps Into the Brave New Transdiscipline of Mobile Health
Given substantial evidence that healthy lifestyle behaviors lessen the odds of cardiovascular disease, a guideline from the American Heart Association and American College of Cardiology1 advises physicians to foster patients’ physical activity. But how is the clinician to evaluate a patient’s healthy lifestyle behaviors, let alone enhance them? Traditionally, patient self-reports supplied almost all behavioral data available to health professionals.
Multiple health behaviours: overview and implications
Methods After reviewing the prevalence and comorbidities among major chronic disease risk behaviours for adults and youth, we consider the origins and applicability of high-risk and population strategies to foster multiple health behaviour change.
Unsupervised Exercise and Mobility Loss in Peripheral Artery Disease: A Randomized Controlled Trial
Methods and Results One hundred ninety‐four PAD participants were randomized. During months 1 to 6, the intervention group met weekly with other PAD participants and a facilitator. Group support and self‐regulatory skills were used to help participants adhere to walking exercise. Ninety‐percent of exercise was conducted at or near home. The control group attended weekly lectures. During months 6 to 12, each group received telephone contact only. Primary outcomes have been reported.
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