Qualitative Evaluation of a Comprehensive Online Wellness Program (MENTOR) Among People With Spinal Cord Injury

Rimmer, James H.; Wilroy, Jereme; Young, Hui-Ju; Young, Raven; Sinha, Tanvee; Currie, Madison; Lima, Carla Rigo; Lai, Byron

doi:10.3389/fresc.2022.917898

Cited by 3 publications

(1 citation statement)

References 37 publications

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“…One-on-one consultations from a trained exercise, nutrition, and mindfulness instructor are available. In a recent paper, 14 people with spinal cord injury reported on what they liked about the program and they indicated flexibility of class times, post-program support, specific exercise adaptations, and one-on-one consultations were a few notable highlights [32].…”

Section: Addressing Disability Inequities From Home To Communitymentioning

confidence: 99%

Addressing Disability Inequities: Let’s Stop Admiring the Problem and Do Something about It

Rimmer

2022

IJERPH

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The healthcare system and public health community are often underprepared to support the needs of people with disabilities and to include them equitably in wellness programs (e.g., exercise, leisure, nutrition, stress management) offered to the general community. Consequently, the vast majority of people with disabilities are unable to make the transition from “patient” to “participant,” which contributes to many of the health disparities reported in this population. People with disabilities have a disproportionately higher rate of acquiring secondary conditions such as obesity, cardiovascular comorbidity, pain, fatigue, depression, deconditioning, and type 2 diabetes, often resulting from poor access to home and community-based health promotion/wellness programs that include physical activity, nutrition, stress reduction, and sleep hygiene, among others. Achieving health equity in people with disabilities requires a multi-stage approach that includes person-centered referral to wellness programs, empowering people with disabilities to become self-managers of their own health and ensuring that community-based programs and services are inclusive. A three-stage model for addressing health and wellness needs across the home and community settings is described, which is currently being used in a large federally funded center in the US with potential generalizability across the world.

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Section: Addressing Disability Inequities From Home To Communitymentioning

confidence: 99%

Addressing Disability Inequities: Let’s Stop Admiring the Problem and Do Something about It

Rimmer

2022

IJERPH

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Predicting and comparing the long-term impact of lifestyle interventions on individuals with eating disorders in active population: a machine learning evaluation

Irandoust,

Parsakia,

Estifa

et al. 2024

Front. Nutr.

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ObjectiveThis study aims to evaluate and predict the long-term effectiveness of five lifestyle interventions for individuals with eating disorders using machine learning techniques.MethodsThis study, conducted at Dr. Irandoust’s Health Center at Qazvin from August 2021 to August 2023, aimed to evaluate the effects of five lifestyle interventions on individuals with eating disorders, initially diagnosed using The Eating Disorder Diagnostic Scale (EDDS). The interventions were: (1) Counseling, exercise, and dietary regime, (2) Aerobic exercises with dietary regime, (3) Walking and dietary regime, (4) Exercise with a flexible diet, and (5) Exercises through online programs and applications. Out of 955 enrolled participants, 706 completed the study, which measured Body Fat Percentage (BFP), Waist-Hip Ratio (WHR), Fasting Blood Sugar (FBS), Low-Density Lipoprotein (LDL) Cholesterol, Total Cholesterol (CHO), Weight, and Triglycerides (TG) at baseline, during, and at the end of the intervention. Random Forest and Gradient Boosting Regressors, following feature engineering, were used to analyze the data, focusing on the interventions’ long-term effectiveness on health outcomes related to eating disorders.ResultsFeature engineering with Random Forest and Gradient Boosting Regressors, respectively, reached an accuracy of 85 and 89%, then 89 and 90% after dataset balancing. The interventions were ranked based on predicted effectiveness: counseling with exercise and dietary regime, aerobic exercises with dietary regime, walking with dietary regime, exercise with a flexible diet, and exercises through online programs.ConclusionThe results show that Machine Learning (ML) models effectively predicted the long-term effectiveness of lifestyle interventions. The current study suggests a significant potential for tailored health strategies. This emphasizes the most effective interventions for individuals with eating disorders. According to the results, it can also be suggested to expand demographics and geographic locations of participants, longer study duration, exploring advanced machine learning techniques, and including psychological and social adherence factors. Ultimately, these results can guide healthcare providers and policymakers in creating targeted lifestyle intervention strategies, emphasizing personalized health plans, and leveraging machine learning for predictive healthcare solutions.

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Qualitative evaluation of factors influencing adherence to virtual exercise programs for people with physical disabilities

Mintz,

Ferguson,

Dayton

et al. 2024

Front. Rehabil. Sci.

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Virtual community-based programming for people with disabilities has become a popular method for advocating for health promotion, specifically exercise, for people with disabilities (PWD). Using theoretical frameworks to better understand the perspective of PWD who participate in virtual exercise programs allows strategies of implementation following completion of virtual exercise programs. The objective of this study was to examine the effect adherence had on perceptions, experiences, and post-program exercise maintenance in participants with disabilities. Eight qualitative interviews were conducted in highly adherent participants using the Social Cognitive Theory (SCT). Interviews were recorded on Zoom, transcribed using Microsoft 365, and analyzed using NVivo software. Data were analyzed by the primary author and an independent coder to increase rigor and reduce bias. Thirty-five unique codes were generated from transcribed interviews. Member-checking was employed to increase internal validity; 100% of participants agreed with the findings. Results demonstrate an overall positive experience in the virtual exercise program, noting specific facilitators (i.e., knowledgeable instructor, program provided equipment, etc.) and barriers (i.e., limited physical space at home to exercise, other participant's attitudes, etc.) of participating. Impressionably, 100% of participants maintained exercise following their time within the virtual exercise program.

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Qualitative Evaluation of a Comprehensive Online Wellness Program (MENTOR) Among People With Spinal Cord Injury

Cited by 3 publications

References 37 publications

Addressing Disability Inequities: Let’s Stop Admiring the Problem and Do Something about It

Addressing Disability Inequities: Let’s Stop Admiring the Problem and Do Something about It

Predicting and comparing the long-term impact of lifestyle interventions on individuals with eating disorders in active population: a machine learning evaluation

Qualitative evaluation of factors influencing adherence to virtual exercise programs for people with physical disabilities

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