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1.
PLoS One ; 18(5): e0283762, 2023.
Article in English | MEDLINE | ID: covidwho-20238524

ABSTRACT

The isolating nature of various COVID-19 mandates may have reduced physical activity (PA) and increased mental health symptomology among individuals with amputation. However, an investigation of mental health across PA levels before and after the onset of COVID-19 among this group has not been conducted. Therefore, the objective of this study was to investigate group differences in depression, anxiety, and post-traumatic stress symptomology among individuals with amputation who reported being physically "active," "somewhat active," or "inactivate" before and during the pandemic. Individuals with an amputation at any level (n = 91; 51% female; age = 52.5±15.5) completed an online questionnaire to assess demographic information, PA levels, and mental health throughout the pandemic. Group differences in self-reported PA before and after COVID-19 onset were assessed by the PA Guidelines for Americans recommendations. The Center for Epidemiologic Studies Depression Scale (CES-D), Generalized Anxiety Disorder (GAD-7), and Posttraumatic Stress Disorder Checklist (PCL-5) scales were used to assess group differences in mental health status. Before and after the onset of COVID-19, 33% and 42.9% of respondents reported that they were inactive, respectively. 58.2% of respondents reported decreased PA since the pandemic's onset. Prior to the pandemic, active individuals reported lower CES-D (14.21 vs. 19.07; Cohen's d: -0.414), GAD-7 (3.82 vs. 5.47; Cohen's d: -0.359), and PCL-5 (15.92 vs. 21.03; Cohen's d: -0.319) scores compared to inactive individuals. After the onset of COVID-19, scores remained lower for active respondents CES-D (12.67 vs. 20.03; Cohen's d: 0.-669), GAD-7 (3.17 vs. 5.87; Cohen's d: -0.598), and PCL-5 (13.39 vs. 19.90; Cohen's d: -0.430). Individuals with amputation reported decreased PA after the onset of COVID-19. Individuals reporting that they were "active" exhibited improved depression and anxiety symptomology scores compared to those reporting that they were "inactive."


Subject(s)
COVID-19 , Mental Health , Humans , Female , Adult , Middle Aged , Aged , Male , Pandemics , COVID-19/epidemiology , Exercise , Anxiety/epidemiology , Amputation, Surgical , Depression/epidemiology
2.
Contemp Clin Trials ; : 107044, 2022 Dec 03.
Article in English | MEDLINE | ID: covidwho-2243434

ABSTRACT

BACKGROUND: eHealth interventions using active video games (AVGs) offer an alternative method to help children exercise, especially during a pandemic where options are limited. There is limited data on costs associated with developing and implementing such interventions. OBJECTIVES: We quantified the costs of delivering an eHealth RCT intervention among minority children during COVID-19. METHODS: We categorized the total trial cost into five subcategories: intervention material development, advertising and recruitment, intervention delivery, personnel salaries, and COVID-19-related equipment costs. RESULTS: The total RCT cost was $1,927,807 (Direct: $1,227,903; Indirect: $699,904) with three visits required for each participant. The average cost per participant completing the RCT (79 participants/237 visits) was $24,403 (Direct: $15,543; Indirect: $8860). Due to no-shows and cancellations (198 visits) and dropouts before study completion (61 visits; 56 participants), 496 visits had to be scheduled to ensure complete data collection on 79 participants. If all 496 visits were from participants completing the three-visit protocol, that would correspond to 165 participants, bringing the average cost per participant down to $11,684 (Direct: $7442; Indirect: $4242). Of the subcategories, intervention material development accounted for the largest portion, followed by personnel salaries. While the direct COVID-19-specific cost constituted <1% of the entire budget, the indirect effects were much larger and significantly impacted the trial. CONCLUSION: RCTs typically involve significant resources, even more so during a pandemic. Future eHealth intervention investigators should budget and plan accordingly to prepare for unexpected costs such as recruitment challenges to increase flexibility while maximizing the intervention efficacy.

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