Quality of life (QOL) is an important aspects of overall well-being in older adults. QOL is associated with functional, physical, and psychological health; all of which can be improved with increased physical activity. A high fall risk is associated with low physical function and QOL. One in four older adults experiences a fall each year, making it necessary to focus public health interventions towards decreasing fall risk and improving QOL in older adults. Bingocize® is a health promotion program designed to promote health, health knowledge, physical activity, and social engagement among older adults. The purpose of this study was to determine the effects of the new version of Bingocize® on QOL and fall risk in community-dwelling older adults (N=36; mean age 73.63 ± 6.97). Participants were clustered and randomly assigned to (a) experimental (n=19; participating in Bingocize® program, which included the bingo game, exercise, and health education) or (b) control (n=17; only played bingo). Each group completed a 12-week intervention that consisted of two 45-60 minute sessions per week. Pre and post data assessments included the TUG, 30-second chair stand, 4-staged balance, handgrip strength, WHOQOL-BREF, PANAS, and a health knowledge quiz. A mixed design analysis of variance (ANOVA) was used to compare intervention effects. There were no significant interactions for any of the variables, with the exception of positive affect (PA) (F (1,34) = 5.66, p = 0.02, 𝜂𝑝 2 = 0.15, power = 0.64) and handgrip strength (F (1,34) = 8.31, p = 0.007, 𝜂𝑝 2 = 0.196, power = 0.80).. There was also a significant main effect for time for health knowledge. Post hoc analysis using independent samples t-tests were conducted on PA (t (33) = 2.39, p = 0.023, two-tailed) and handgrip strength (t (34) = 2.85, p = 0.007, two-tailed). Participating in the Bingocize® health promotion program can produce a meaningful and detectable change in handgrip strength and PA in community-dwelling older adults.

The purpose of this dissertation was to determine if the New Lifestyles NL-2000 (NL) and the Digi-Walker SW-200 (DW), waist-mounted devices, yield similar daily step counts as compared to the StepWatch 3 (SW), an ankle-mounted device, worn by adults and children in the free-living environment. For the first study, fifty-six adults (32.7 + 14.5 y) wore the devices for seven consecutive days. There were 20 normal weight, 18 overweight, and 18 obese participants. The NL and DW undercounted (pedometer error) similarly in the normal weight and overweight groups (-15.4% to -18.2%, respectively). However, the DW undercounted more than the NL in the obese group (-32.8% vs -23.9%, respectively). Stepwise regression revealed that both the NL and DW had more error (undercounted more) as a greater percentage steps were accumulated while walking slowly. The DW also had more error with greater BMI. Use of the DW in an obese population will result in twice the error as compared to a normal weight population and thus the DW should not be used to determine relationships between walking volume and adiposity For the second study, 74 children (13 ± 1.1 y) wore the same devices during one weekday. There were 33 normal weight, 21 overweight, and 20 obese participants. The error was determined for the NL and DW, and the values were similar in the normal weight and overweight groups (-10.8% to -15.4%, respectively). The DW undercounted more than the NL in the obese group (-27.3% vs -8.4%, respectively). The NL was very consistent regardless of BMI category, recording 89.1% (-10.8% error), 89.1% (-10.9% error), and 91.6% (-8.4% error) for the normal weight, overweight, and obese participants, respectively. Stepwise regression revealed that the DW undercounted more in participants with a high weight. Using the DW in obese children of this age group will result in significantly more undercounting when compared to normal weight children. The DW should not be used to determine relationships between walking volume and adiposity in this population. The NL undercounted by ~10%, regardless of BMI category.

Humans naturally select a point at which to transition from walking to running when gradually increasing locomotor speed. This point is known as the walk-to-run transition (WRT). The WRT is traditionally expressed in terms of speed and is known to occur within a close range of 2.1 m/s, which is an accepted heuristic (i.e., empirically based, rounded) threshold value. Very little research exists defining the WRT in terms of cadence (steps/min) despite the fact that spatial temporal aspects of gait underlying the WRT include this parameter. Preliminary evidence suggests that the WRT may be associated with a cadence of 140 steps/min in adults. This overlooked approach to identifying the WRT may be better than speed because of the simplicity and accessibility of recording cadence in both lab- and free-living settings. Wearable technologies can be used to determine cadence in real-time in a variety of settings, and could be used in the future to expand our current knowledge of the WRT. In turn, this knowledge could be used to inform training practices and/or rehabilitation of gait disorders. The purposes of this secondary analysis of an existing treadmill-based data set were to: (1) identify the optimal WRT cadence threshold, and (2) compare the accuracy of the cadence cutpoint to the previous WRT indicators identified in literature (i.e., speed and Froude number). This secondary analysis focused only on the data collected from the 28 participants (20 men, 8 women) whose protocol was terminated due to selecting to run during the treadmill portion of the larger CADENCE-Adults study. The CADENCE-Adults protocol consisted of a series of five-minute bouts beginning at 0.2 m/s and increasing in 0.2 m/s increments, with each bout followed by two minutes of standing rest. Participants could choose to walk or run each bout. The cadence of the bout during which the participants chose to run was considered the WTR cadence, and ROC analyses were performed to determine the optimal cadence cutpoint. Sensitivity, specificity and overall accuracy were calculated to compare the accuracy of the speed and Froude values from literature to the calculated cadence cutpoint. In addition, these analyses were expanded post hoc to also examine the accuracy of the previously proposed cadence cutpoint from the literature and the speed and Froude cutpoint identified from the dataset. Following analyses, three cadence cutpoints (134, 139, or 141 steps/min) were identified that shared equal overall accuracy (92.9%); therefore, there was no single optimal cutpoint. This also occurred for the speed cutpoints, where both 1.9 and 2.0 m/s shared overall accuracies of 78.6%. The optimal Froude cutpoint identified was 0.46 (82.0% overall accuracy). The rank-order overall accuracy of previously identified cutpoints were: a cadence of 140 steps/min (91.1%), Froude number of 0.5 (76.8%) and speed of 2.1 m/s (66.1%). Based on the identified optimal cadence cutpoints, a heuristic range of running cutpoints was recommended anchored on specificity vs. sensitivity preferences. For researchers interested in identifying episodes more likely to be running behavior (with the preference that very few episodes of walking behavior are mistakenly identified), it would be best to use 140 steps/min. However, if they want to be as inclusive as possible in identifying episodes of running behavior (and can tolerate more mistakenly identified episodes walking behavior), they could use 135 steps/min. When applied to this dataset, 96.0% (24/25) of the individuals who were ≥140 steps/min were running, but this decreased to 92.5% (25/27) with ≥135 steps/min. In conclusion, cadence clearly performed much better in terms of overall accuracy when compared to traditionally used WRT indicators of speed and Froude numbers. The recommended heuristics cadence cutpoint range can be used by researchers who want to evaluate the locomotor patterns of individuals when analyzing free-living step-defined data collected using wearable devices.

The purpose of this study was to determine if concentric velocities of lighter loads of could be augmented if they are performed heavier working sets. Twelve trained males with experience in the barbell back squat performed a 5RM and completed two separate squat training session conditions that consisted of three sets of five repetitions with 85% of their 5RM. Both conditions differed in the placement of a reduced-load set that was either performed after the working sets or during the warm-up period. No significant differences were observed in the working set MCVs in both conditions. Additionally, no significant differences were observed amongst MCVs in the Down Set and equivalent warm-up set loads. The results of this study suggest that postactivation potentiation may not occur using a similar set-load scheme.

Paralympic athletes (PA) appear to be more prone to chronic overuse injuries from daily wheelchair or crutch use. Over half of these injuries are shoulder related which can deleteriously impact quality of life. Adaptive powerlifters (AP) are a subdivision of Paralympic athletes and are at a higher risk for catastrophic injuries as compared to their counterparts, due to the compound of fatigue and lifting of maximal weights. For this reason, it is vital to have well-designed training plans for these athletes in order to preserve quality of life and maximize performance in competition. Unfortunately, there is a lack of literature on training adaptive athletes for performance. The purpose of this dissertation is to collect and analyze monitoring data of a para-powerlifter preparing for competition over the course of a six-month macrocycle. Specifically, the intention is to 1) explore options in adaptive monitoring measures for the adaptive athlete community via para-powerlifting 2) analyze trends in the training process with such monitoring methods in fatigue and performance and 3) examine efficient and safe training methods and practices for para-powerlifting. The major findings of this dissertation are 1.) Hand grip dynamometry may be a valid monitoring tool used to gain clarity on neuromuscular fatigue within para-powerlifters. 2.) Barbell velocities may reveal trends in fatigue and recovery over the course of a training cycle for para-powerlifters. 3.) Para-powerlifters and para-athletes training for upper-body power development should likely perform bench press using a strap to secure them to the bench for enhanced stability. The significant and consistently increased force outputs the added stability enables the athlete to utilize may bring more pronounced training adaptations towards their goals. This dissertation is exploratory in nature and much more research needs to be done to give the adaptive athlete population adequate information and tools for their long-term success and safety.

Physiological muscle adaptations due to resistance training are still not fully known. The rate and area of hypertrophy could drastically help or hinder athletic performance. The purpose of this study was to observe the changes in lean body mass (and related factors), relative allometrically scaled strength and absolute strength through an 11-week block periodized resistance training program. The subjects (n = 15) realized an increase in total body water (pre = 49.77Kg; post = 51.70Kg), lean body mass (pre = 67.98Kg; post = 70.63Kg), adjusted lean body mass (pre = 20.35Kg; post = 21.03Kg) and cross sectional area (pre = 32.73 cm2; post = 36.33cm2). Subjects (n= 15) were divided into either a strong (1 RM ≥ 1.75x body weight), moderate (1 RM = ≥ 1.25-1.74x body weight), or weak (1 RM < 1.25x body weight) group and data were analyzed in pre-post training. While all subjects showed gains in LBM and related factors, initial strength levels altered these adaptations. Subjects with a lower initial maximum strength level tended to make greater gains. However, due to the increase in total body water and relatively small increases in adjusted LBM, it appears, among this group, that little myofibrillar hypertrophy occurred during this short training period. These data suggest that greater accuracy for measures of alterations in LBM and related factors may require measures of total body water.

Stretch activation (FSA) is the delayed increase in fiber specific tension (force per cross-sectional area) following a rapid stretch and can improve muscle performance during repetitive cyclical contractions. Historically considered minimal in skeletal muscle, our recent work showed the ratio ofstretch- to calcium-activated specific tension (FSA/F0) increased from 10 to 40% with greater inorganic phosphate (Pi) levels in soleus muscle fibers (Straight et al., 2019). Given Pi increases with muscle fatigue, we hypothesize that FSA helps maintain force generation during fatigue. To test this, FSA, induced by a stretch of 0.5% fiber length, was examined during Active (pCa 4.5 (pCa = -log([Ca2+]), pH 7.0, Pi 5 mM), High Ca2+ Fatigue (pCa 4.5, pH 6.2, Pi 30 mM) and Low Ca2+ Fatigue (pCa 5.1, pH 6.2, Pi 30 mM) in fibers expressing myosin heavy chain (MHC) I, IIA, IIX and IIB isoforms from soleus and extensor digitorum longus muscles of C57BL/6NJ mice. F0 of all MHC isoforms decreased from Active to High Ca2+ Fatigue to Low Ca2+ Fatigue, as expected. In MHC IIX and IIB fibers, FSA occurred under all conditions and FSA/F0 increased from Active (17-20%) to High Ca2+ Fatigue (32-35%) to Low Ca2+ Fatigue (42-44%). In MHC IIA fibers, FSA/F0 increased similarly to MHC IIX and IIB fibers from Active (14%) to High Ca2+ Fatigue (32%) but stayed elevated under Low Ca2+ Fatigue (35%). For MHC I fibers, no discernable FSA was apparent in either High – or Low Ca2+ Fatigue, leaving an FSA/F0 value in Active only ( 4%). These results show that FSA is a significant modulator of specific tension production under fatiguing conditions in fast-contracting muscle fibers. This mechanism could play an important physiological role during cyclical contractions, when the antagonistic muscle rapidly stretches the agonist muscle, by reducing the effect of fatigue on specific tension production.

Physical activity (PA) has numerous benefits for cancer survivors, but limited research exists on PA interventions in young adult cancer survivors. Outdoor adventure therapy is a potential method of increasing PA in this demographic. The primary purpose of this non-randomized parallel group study was to determine whether the outdoor adventure camp experience (vs. wait list control) would increase participants’ PA levels immediately following the 7-day camp, as well as three months later. Secondary aims examined correlates of greater PA, including pre-post camp changes in sedentary behavior, exercise self-efficacy, environmental change self-efficacy, perceived barriers to exercise, physical activity enjoyment, and physical activity variety. Sixty-six control and 50 intervention participants were given validated quantitative questionnaires at baseline, 1 week (end of camp) and at the 3-month follow-up. Repeated measures multivariate analysis of variance (RMANOVA) was used to compare group changes over time. Using intent to treat analysis, adjusting for age, gender, age at diagnosis, and baseline minutes of PA per week, there was a significant difference (p=.0001) in minutes of PA per week between groups at both 1 week and 3 months. Bonferroni adjusted post-hoc analysis indicated that, relative to baseline, the intervention group had significantly (p=.0001) greater increases in PA at both 1 week (577 minutes vs. 9 minute increases) and 3 month follow-ups (133 minute increases vs. 75 minute decreases; p=.001) respectively. Significant intervention-related improvements were also observed in TV viewing hours/week (p=.001), hours sitting/week (p=.001), “Excuses” score of the Perceived Barriers to PA questionnaire (p=.04), Enjoyment of Structured Activities (p=.04), and PA Variety (p=.0001) at 1 week but not at the 3 month follow-up. No significant effects were observed for changes in exercise self-efficacy, environmental change self-efficacy, or the other subscales scores. In conclusion, outdoor adventure therapy has the potential to increase PA levels in cancer survivors both immediately following camp, as well as long-term. However, effects tend to wane after camp termination. Future research should explore the relationship between correlates of PA and PA levels in outdoor adventure therapy camp participants and methods to promote sustained PA after camp termination.

Short-term (3-7 days), high doses of creatine (20g/d) and/or sodium bicarbonate (0.5g/kg body weight) supplementation increase exercise performance during short term high intensity activities; however, it remains unclear whether long-term, low doses of these supplements have a positive impact on exercise performance. The purpose of this study was to determine the effects of long-term (8 weeks), low dose creatine supplementation on exercise performance, and whether combining creatine and sodium bicarbonate supplementation has an additive effect. Sixty-three healthy, habitually active, adults (28 M, 35 W; 22+2 years; 23+ 3 BMI) were randomly assigned by sex to one of three supplement groups: placebo (PL), creatine only (3g/day; Cr), or creatine plus sodium bicarbonate (3g creatine plus 1g sodium bicarbonate; Cr+Sb) for 8 weeks. Before and after supplementation subjects completed two exercise performance tests on separate days. Subjects completed repeated Wingate sprint tests (6 x 10 second sprints) and changes in the slope across the 6 sprints (rate of decline) was analyzed between groups. We also collected 5 km time-trial and the data were analyzed using repeated measures ANOVA. In the repeated sprint test, peak power output slope was significantly decreased (P=0.04) in PL (-83%) and Cr+Sb (-82%) but did not change in Cr alone and was significantly better (P=0.03) than Pl and Cr+Sb. Similarly, mean power output slope significantly decreased (P0.05) in time to completion. However, Cr alone significantly improved time to completion (-3%; P=0.01). Taken together, these data suggest that long-term, low dose creatine supplementation increases exercise performance but adding sodium bicarbonate supplementation has no beneficial impact on exercise performance.

Purpose: Physical activity (PA) and mental health decline in winter. One potential mechanism to improve PA and mental health is dog walking. The purpose of this thesis is to examine the impact of dog walking on mental health and seasonal changes in PA. Methods: Participants (n=50; 34 dog owners, 16 non-dog owners) wore an Actigraph accelerometer and logged all PA (including dog walking) for one week per season. They also completed mental health surveys during their initial data collection week (baseline). Using baseline data, analyses were run to see if daily dog walkers (those who reported dog walking 6+ days/week; n=20) had more PA and better mental health than non-daily dog walkers (those who reported dog walking ≤5 days/week; n=26). Analyses were also run to see if summer daily dog walkers (n=15) better maintained their PA levels from summer to winter compared to summer non-daily dog walkers (n=21), and whether dog walking automaticity predicted PA and seasonal changes in PA. Results: Daily dog walkers took 2,900 more steps/day (p=0.01), but there was no difference in MVPA/week (p=.07) or in odds of meeting PA guidelines (p=0.25). There was no difference in perceived stress or depressive symptoms between groups (p=0.41 and 0.12, respectively). Being a summer daily dog walker did not predict a smaller change in PA from summer to winter (p=0.63). Finally, a higher dog walking automaticity was predictive of higher daily steps (p=0.02) but not meeting PA guidelines (p=0.15) or maintaining PA from summer to winter (p=0.63). Conclusion: In this study, daily dog walkers took more steps than non-daily dog walkers, but they did not have better mental health and still observed a decrease in PA from summer to winter. Future research with larger, more diverse samples is needed to understand the impact routine dog walking has on mental health and seasonal PA changes.