Use of Electronic Ecological Momentary Assessment Methodologies in Physical Activity, Sedentary Behavior, and Sleep Research in Young Adults: Systematic Review.

BACKGROUND: Recent technological advances allow for the repeated sampling of real-time data in natural settings using electronic ecological momentary assessment (eEMA). These advances are particularly meaningful for investigating physical activity, sedentary behavior, and sleep in young adults who are in a critical life stage for the development of healthy lifestyle behaviors. OBJECTIVE: This study aims to describe the use of eEMA methodologies in physical activity, sedentary behavior, and sleep research in young adults. METHODS: The PubMed, CINAHL, PsycINFO, Embase, and Web of Science electronic databases were searched through August 2022. Inclusion criteria were use of eEMA; sample of young adults aged 18 to 25 years; at least 1 measurement of physical activity, sedentary behavior, or sleep; English language; and a peer-reviewed report of original research. Study reports were excluded if they were abstracts, protocols, or reviews. The risk of bias assessment was conducted using the National Heart, Lung, and Blood Institute's Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Screening, data extraction, and risk of bias assessments were conducted by independent authors, with discrepancies resolved by consensus. Descriptive statistics and narrative synthesis were used to identify overarching patterns within the following categories guided by the Checklist for Reporting Ecological Momentary Assessments Studies: study characteristics, outcomes and measures, eEMA procedures, and compliance. RESULTS: The search resulted in 1221 citations with a final sample of 37 reports describing 35 unique studies. Most reports (28/37, 76%) were published in the last 5 years (2017-2022), used observational designs (35/37, 95%), consisted of samples of college students or apprentices (28/35, 80%), and were conducted in the United States (22/37, 60%). The sample sizes ranged from 14 to 1584 young adults. Physical activity was measured more frequently (28/37, 76%) than sleep (16/37, 43%) or sedentary behavior (4/37, 11%). Of the 37 studies, 11 (30%) reports included 2 movement behaviors and no reports included 3 movement behaviors. eEMA was frequently used to measure potential correlates of movement behaviors, such as emotional states or feelings (25/37, 68%), cognitive processes (7/37, 19%), and contextual factors (9/37, 24%). There was wide variability in the implementation and reporting of eEMA procedures, measures, missing data, analysis, and compliance. CONCLUSIONS: The use of eEMA methodologies in physical activity, sedentary behavior, and sleep research in young adults has greatly increased in recent years; however, reports continue to lack standardized reporting of features unique to the eEMA methodology. Additional areas in need of future research include the use of eEMA with more diverse populations and the incorporation of all 3 movement behaviors within a 24-hour period. The findings are intended to assist investigators in the design, implementation, and reporting of physical activity, sedentary behavior, and sleep research using eEMA in young adults. TRIAL REGISTRATION: PROSPERO CRD42021279156; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021279156.

Educational and Patient Care Impacts of In Situ Simulation in Healthcare: A Systematic Review.

ABSTRACT: This systematic review was performed to assess the effectiveness of in situ simulation education. We searched databases including MEDLINE and Embase for studies comparing in situ simulation with other educational approaches. Two reviewers screened articles and extracted information. Sixty-two articles met inclusion criteria, of which 24 were synthesized quantitatively using random effects meta-analysis. When compared with current educational practices alone, the addition of in situ simulation to these practices was associated with small improvements in clinical outcomes, including mortality [odds ratio, 0.66; 95% confidence interval (CI), 0.55 to 0.78], care metrics (standardized mean difference, -0.34; 95% CI, -0.45 to -0.21), and nontechnical skills (standardized mean difference, -0.52; 95% CI, -0.99 to -0.05). Comparisons between in situ and traditional simulation showed mixed learner preference and knowledge improvement between groups, while technical skills showed improvement attributable to in situ simulation. In summary, available evidence suggests that adding in situ simulation to current educational practices may improve patient mortality and morbidity.

Physical activity and exercise interventions for individuals with opioid use disorder: a scoping review.

Exercise may be a valuable adjunct therapy for individuals with opioid use disorder (OUD) due to its known benefits in brain health, sleep, overall quality of life, and reduced anxiety and depression. Additionally, physical activity may mitigate the experience of pain, leading to better control of chronic pain. The purpose of this scoping review was to evaluate the evidence to support physical activity (which includes exercise) interventions for individuals with OUD. Systematic searches were conducted by a librarian in September 2021 in PubMed, PsycINFO, EMBASE, Web of Science, Cochrane CENTRAL, and clinicaltrials.gov. Two reviewers independently screened titles and abstracts to reduce risk of bias. A total of 13 studies met inclusion criteria. Ten publications presented data specifically studying a physical activity intervention for OUD. Three studies provided retrospective data on the exercise experience and attitudes. Results indicated different exercise modalities led to positive outcomes related to immune function, reduction of pain, cravings, anxiety and depression, as well as improvements in mood and quality of life. Additionally, participants noted exercise as an acceptable and feasible adjunct treatment. Exercise may be a valuable adjunct therapy for individuals with OUD; however, the majority of the published literature consisted of small samples presenting an opportunity for future investigators to corroborate findings with larger sample sizes, utilizing different exercise modalities in different populations of patients with OUD.