Filtering by
- All Subjects: Physical Activity
- Creators: College of Health Solutions
- Creators: Petrov, Megan
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This study examines the effectiveness of two modes of exercise on inhibitory control in adults with Down Syndrome (DS). Thirteen participants attended four sessions: a baseline assessment, an Assisted Cycling Therapy (ACT) session, a Resistance Training (RT) session, and a session of No Training (NT). In the baseline assessment, 1-repetition max (1RM) measurements and voluntary pedal rate measurements were taken. In the resistance training session, the leg press, chest press, seated row, leg curl, shoulder press, and latissimus pulldown were performed. In the cycling intervention, the participant completed 30 minutes of cycling. The Erikson Flanker task was administered prior to each session (i.e., pretest) and after the intervention (i.e., post-test). The results were somewhat consistent with the hypothesis that inhibition time improved more following RT and ACT than NT. there was also a significant difference between ACT and NT. Additionally, it was hypothesized that all measures would improve following each acute exercise intervention, but the most significant improvements were seen following ACT. In conclusion, an acute session of ACT demonstrated a significant trend towards improvements in inhibitory control in adults with DS which we interpreted using a model of neural changes.
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The influence of exercise on cognitive function is an important topic. This study examines the effects of different interventions on executive functioning, specifically on cognitive planning, which is a sub-category of executive function, in adults with Down syndrome. Research has shown that an acute bout of Assisted Cycle Therapy improved manual motor functioning, cognitive planning, and information processing in adolescents with Down syndrome but there is a lack of research when it comes to resistance training. Fourteen adults with Down syndrome completed acute sessions of Assisted Cycle Therapy, Resistance Training, and No Training. Cognitive planning was measured by the Tower of London test. The results show that cognitive planning can be improved following Assisted Cycle Therapy. An increase in cognitive planning was also present in the No Training group which may be a result of cognitive stimulating games that were played. In conclusion, this study suggests that teachers, therapists, etc. that work with adults with DS, should be sure to include a cognitive component in all activities.
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Methods— Data were extracted and filtered from electronic databases PubMed (MEDLINE), CINAHL, Embase, PsycINFO, and Scopus. Intervention effects were represented by Hedges’ g and combined into pooled effect sizes using random effects models. Heterogeneity was evaluated using the Chi-squared (Q) and I-squared statistics.
Results— Five studies met inclusion criteria, representing data from 182 participants. The primary analysis produced a positive overall effect of aerobic exercise on cognitive performance (Hedges’ g [95% confidence interval]= 0.42 [0.007–0.77]). Effects were significantly different from zero for aerobic interventions combined with other physical activity interventions (Hedges’ g [CI] =0.59 [0.26 to 0.92]), but not for aerobic interventions alone (P= 0.40). In specific subdomains, positive moderate effects were found for global cognitive function (Hedges’ g [CI] =0.79 [0.31 to 1.26]) but not for attention and processing speed (P=0.08), executive function (P= 0.84), and working memory (P=0.92).
Conclusions— We determined that aerobic exercise combined with other modes of training produced a significant positive effect on cognition in adults after stroke in the subacute and chronic phases. Our analysis supports the use of combined training as a treatment option to enhance long-term cognitive function in adults after stroke. Further research is needed to determine the efficacy of aerobic training alone.
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Background: Creation and reuse of reliable clinical code sets could accelerate the use of EHR data for research. To support that vision, there is an imperative need for methodologically. driven, transparent and automatic approaches to create error-free clinical code sets. Objectives: Propose and evaluate an automatic, generalizable, and knowledge-based approach that uses as starting point a correct and complete knowledge base of ingredients (e.g., the US Drug Enforcement Administration Controlled Substance repository list includes fentanyl as an opioid) to create medication code sets (e.g., Abstral is an opioid medication with fentanyl as ingredient). Methods: Algorithms were written to convert lists of ingredients into medication code sets, where all the medications are codified in the RxNorm terminology, are active medications and have at least one ingredient from the ingredient list. Generalizability and accuracy of the methods was demonstrated by applying them to the discovery of opioid and anti-depressant medications. Results: Errors (39 (1.73%) and 13 (6.28%)), obsolete drugs (172 (7.61%) and 0 (0%)) and missing medications (1,587 (41.26%) and 1,456 (87.55%)) were found in publicly available opioid and antidepressant medication code sets, respectively. Conclusion: The proposed knowledge-based algorithms to discover correct, complete, and up to date ingredient-based medication code sets proved to be accurate and reusable. The resulting algorithms and code sets have been made publicly available for others to use.
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