Overground vs. Treadmill Running: Do Runners Use the Same Strategy to Adjust Stride Length and Frequency While Running at Different Velocities?

Running speed is determined by stride frequency and stride length. As running speed is adjusted, runners make greater adjustments in stride length at slower speeds with a shift to stride frequency adjustments at the faster speeds. The relationship between stride frequency and stride length is largely based on overground research which leads to the purpose of this study to analyze whether the connection of stride frequency and stride length will adjust similar due to changes in running velocity during overground and treadmill running. The protocol was recently approved by The Institutional Review Board and data collection is currently in progress; - thus the following present abstract does not contain data. In order to compare runner’s gait pattern responses to velocity changes, two wearable technologies (Garmin Fenix2, Garmin, Kansas, USA; runScribe, Scribe Lab, San Francisco, USA) designed to measure stride length and stride frequency will be utilized. Subjects will run at a variety of velocities overground and then on the treadmill with speeds ranging from slow, preferred, and fast. The main dependent variables will be stride frequency and stride length. The null hypothesis is: The relationship between stride length and stride frequency is similar while running overground and on a treadmill at different velocities. The results of this study will be helpful to runners as well as development of wearable technology used to quantify run metrics

A Social Media Give and Take: A Study of What Young Adults Would Give up to Stay Connected

Background: Social media presents both opportunities and risks for young adults. Although they may experience increased connectivity and creativity, excessive use can result in neglect of other aspects of life (e.g., physical activity, sleep). Purpose: Investigate social media usage patterns and addictions among young adults, while exploring what trade-offs they would be willing to make to stay connected on social media. Methods: Participants (N = 750) completed an online survey containing questions concerning demographics, social media usage patterns, relationships with social media, and trade-offs participants would make to remain on social media. A weighted least squares hierarchical multiple linear regression was performed to examine whether usage patterns/addiction predicted total trade-off scores. Results: Most participants (n = 727) had 2+ social media accounts, with Instagram (n = 693) being the most popular. Almost half of the sample (n = 342) reported checking social media 9+ times/day and more than three quarters spend at least one hour/day using social media (n = 626). More participants were willing to make food/drink or hobby-related trade-offs than health or life-related trade-offs. The regression was significant, F(6, 733) = 21.941, p \u3c.001, R2 = .390, with the number of social checks/day (p \u3c 0.05), time/day spent on social media (p \u3c 0.01), and social media addiction (p \u3c 0.001) all predicting increases in the number of trade-offs participants were willing to make. Conclusion: Higher social media usage rates/addiction can increase young adults\u27 willingness to make trade-offs in their personal lives to remain on social media

Impact of hypoglycemia on patients with type 2 diabetes mellitus and their quality of life, work productivity, and medication adherence.

BackgroundThe purpose of this study was to determine the characteristics of adults with type 2 diabetes mellitus (T2DM) that correlate with greater risk of hypoglycemia and determine the impact of hypoglycemia on health-related quality of life, work productivity, and medication adherence from a patient perspective.MethodsData from a large web-based survey were retrospectively analyzed. Adults with a diagnosis of T2DM taking antihyperglycemic agents were included in the analysis. Participants with knowledge of their hypoglycemic history were divided into three groups: those experiencing recent hypoglycemia (previous 3 months), those experiencing nonrecent hypoglycemia, and those never experiencing hypoglycemia.ResultsOf the participants with T2DM taking antihyperglycemic agents who were knowledgeable of their hypoglycemia history, 55.7% had ever experienced hypoglycemia. Of those, 52.7% had recent hypoglycemia. Compared with those who never experienced hypoglycemia, those who experienced hypoglycemia tended to: be younger; be more aware of their glycated hemoglobin (HbA1c) levels; have higher HbA1c levels; have a higher body mass index; have higher Charlson Comorbidity Index scores; be on insulin, sulfonylureas, and/or glucagon-like peptide-1 agonists; and be less adherent to their antihyperglycemic agents. Hypoglycemia interfered with social activities, caused more missed work (absenteeism), more impairment while at work (presenteeism), and decreased overall work productivity compared with patients who had never experienced hypoglycemia. Overall health-related quality of life, as determined by the Short Form-36 health questionnaire, was negatively impacted by hypoglycemia. Both Physical and Mental Summary scores were significantly lower for the recent hypoglycemia and nonrecent hypoglycemia groups compared with the never hypoglycemia group.ConclusionHypoglycemia can negatively impact many aspects of life. Greater awareness of those who are at risk for developing hypoglycemia can lead to the development of measures (eg, patient and physician education) to prevent future hypoglycemia episodes

Psychological, psychophysical, and ergogenic effects of music in swimming

OBJECTIVES: Existing work using dry land exercise-related activities has shown that the careful application of music can lead to a range of benefits that include enhanced affect, lower perceived exertion, greater energy efficiency, and faster time trial performances. The purpose of this study was to assess the psychological, psychophysical, and ergogenic effects of asynchronous music in swimming using a mixed-methods approach. DESIGN: A mixed-model design was employed wherein there was a within-subjects factor (two experimental conditions and a control) and a between-subjects factor (gender). The experimental component of the study was supplemented by qualitative data that were analysed using inductive content analysis. METHODS: Twenty six participants (Mage = 20.0 years, age range: 18–23 years) underwent a period of habituation with Speedo Aquabeat MP3 players prior to the experimental phase. They were then administered two experimental trials (motivational and oudeterous music at 130 bpm) and a no-music control, during which they engaged in a 200-m freestyle swimming time trial. RESULTS: Participants swam significantly faster when exposed to either music condition relative to control (p = .022, ηp2=.18). Moreover, the music conditions were associated with higher state motivation (p = .016, ηp2=.15) and more dissociative thoughts (p = .014, ηp2=.16). CONCLUSIONS: Findings supported the hypothesis that the use of asynchronous music during a high-intensity task can have an ergogenic effect; this was in the order of 2% when averaged out across the two experimental conditions. The use of music, regardless of its motivational qualities, resulted in higher self-reported motivation as well as more dissociative thoughts

“Cheating” In a Fast by Exercising After a Snack

As the prevalence of chronic diseases has increased, research has emerged supporting the utility of intermittent fasting in managing certain health conditions. Despite potential benefits, adhering to a fasting regimen can be difficult. PURPOSE: The purpose of this study was twofold. The first purpose was to describe how consuming a modest snack prior to exercise influences plasma glucose, beta-hydroxybutyrate and hunger in reference to fasting with and without exercise. The second purpose was to examine how exercising in a fasted state influences plasma glucose, beta-hydroxybutyrate and hunger. METHODS: A randomized crossover design with counterbalanced treatment conditions was used to compare the influence of fasting alone (control), fasting with exercise (exercise), and fasting with the addition of a snack immediately prior to exercise (snack/exercise). The effects of these interventions on beta-hydroxybutyrate levels, blood glucose, hunger, and mood were assessed. RESULTS: BHB was significantly higher in the exercise condition than control starting at 24 hrs to the end of the study (p \u3c 0.05). BHB levels between control and snack/exercise conditions were not different. Immediately after participants had exercised, blood glucose levels were higher in both the exercise and snack/exercise conditions than control (p \u3c 0.001). With the exception of one time point, there were no additional differences. In the exercise and snack/exercise conditions, hunger was significantly lower than control right after exercise (p = .0043 and p = .0003, respectively). Hunger was not different between the exercise and snack/exercise conditions at any time point. Mood was not different between conditions. CONCLUSIONS: Exercising after modest caloric intake produces BHB and glucose levels that are similar to fasting alone. Exercising without a snack briefly interrupts the fast but elevates BHB production starting around three hours after the exercise bout. Finally, mood was not different between any conditions and calls into question the assumption that a snack/exercise fasting protocol is in fact easier to adhere to

Older Adult Preferences of Mobile Application Functionality Supporting Medication Self-Management

Health systems and insurers alike are increasingly interested in leveraging mHealth (mobile health) tools to support patient health-related behaviors including medication adherence. However, these tools are not widely used by older patients. This study explores patient preferences for functionality in a smartphone application (app) that supports medication self-management among older adults with multiple chronic conditions. We conducted six discussion groups in Chicago, Miami, and Denver (N = 46). English-speaking older adults (55 and older) who owned smartphones and took five or more prescription medicines were invited to participate. Discussions covered familiarity with and use of current apps and challenges with taking multidrug regimens. Participants reviewed a range of possible mobile app functions and were asked to give feedback regarding the acceptability and desirability of each to support medication management. Very few participants (n = 3) reported current use of a mobile app for medication support, although all were receptive. Challenges to medication use were forgetfulness, fear of adverse events, and managing medication information from multiple sources. Desired features included (1) a list and consolidated schedule of medications, (2) identification and warning of unsafemedication interactions, (3) reminder alerts to take medicine, and (4) the ability record when medications were taken. Features relating to refill ordering, pharmacy information, and comparing costs for medication were not considered to be as important for an app