Outdoor Running Research Articles

Analyzing jogging activity patterns and adaptation to public health regulation

Outdoor running is one of the most popular physical activities, with numerous health benefits and minimal cost. Despite such importance, limited scientific understanding of collective behavioral patterns of running activity constraints more evidence-based spatial planning and urban design for promoting an active lifestyle. This study investigates the underlying spatial, temporal, and typological patterns of running activities within a university campus by analyzing a large number of running trajectory data ( n = 11088) at high spatial-temporal resolution. Based on classification and pattern identification, the results reveal three major running activity types on streets, tracks, and mixed spatial conditions. This study further investigates data during a specific period when the campus experienced public space regulation as a part of the COVID-19 prevention protocol. Results reveal the disruption, change, and recovery of running activity, revealing local behavioral adaptation and resilience towards spatial intervention. Overall, our findings resonate with classic urban design theory and existing literature, and the proposed analytical workflow can further support more evidence-based and data-informed planning decisions and design actions for promoting physical activity and active living.

Open Field Exercise Testing in Pediatric Congenital Heart Disease Patients: A Subsumption of Cardiovascular Parameters

Heart failure is a common phenomenon in congenital heart disease patients. Cardiopulmonary exercise testing is used for a reliable assessment of heart failure but is still challenging, especially for young children. Implementing mobile cardiopulmonary exercise testing (CPET) can close that diagnostic gap. While average values for healthy children have already been published, this study aims to describe typical ranges of cardiovascular performance parameters of young children with congenital heart disease performing an 8-min running cardiopulmonary exercise test. Children aged 4–8 years with common congenital heart defects after corrective surgery (Tetralogy of Fallot; transposition of the great arteries and univentricular hearts after palliation) were included. The outdoor running protocol consisted of slow walking, slow jogging, fast jogging, and maximum speed running. Each exercise was performed for 2 min, except the last, in which children were instructed to keep up maximal speed as long as possible. A total of 78 children (45 male/33 female, mean age 6,24) with congenital heart disease participated in the study, of which 97% completed the CPET successfully. A detailed description of participating patients, including data on cardiac function and subjective fitness levels, is given to help physicians use this method to classify their patients. This study presents a typical range for cardiovascular performance parameters in a population of 4–8-year-old children with congenital heart disease tested in a newly developed outdoor running protocol for CPET.

Comparison of the effects of indoor and outdoor exercise on creativity: an analysis of EEG alpha power.

Previous research finds that natural environments and exercise enhance creativity. In this within-subjects design study, we examined the influence of outdoor exercise that combined a natural environment with exercise on creativity compared to an indoor exercise control condition by analyzing cognitive activities related to creativity. The participants performed an Alternative Uses Test (AUT), in which ordinary objects are presented to the participants (e.g., a brick), to prompt as many ideas for alternative uses as possible, which are transformed into a creativity score, after indoor running and outdoor running. During the test, brain activity was recorded using electroencephalography (EEG) and a short version flow state scale (FSS) was completed after the experiment. Results showed that while AUT scores did not significantly differ between conditions, alpha band activity at the parietal occipital region involved in divergent creativity increased during the AUT after outdoor exercise while it did not during the AUT after indoor exercise. In addition, FSS scores for positive emotional experience and absorption were higher after outdoor exercise than after indoor exercise. Our results from the FSS suggest that exercise in a natural environment is perceived subjectively differently from indoor exercise, participants report greater experiences of flow compared to indoor exercise, and the EEG measures objectively indicate enhanced cognitive activity in a creativity task after outdoor exercise. This study suggests that outdoor exercise increases neuronal activity in brain regions related to creativity. Further research is needed to understand how this can lead to increased creativity.

Apple puree as a natural fructose source provides an effective alternative carbohydrate source for fuelling half-marathon running performance

ABSTRACT Carbohydrate supplementation during endurance exercise is known to improve performance, but the effects of food-based approaches in running exercise are understudied. Therefore, this study investigated the performance and gastrointestinal (GI) effects of a carbohydrate supplement containing a natural fructose source compared with a highly processed fructose source in a combined glucose-fructose supplement, during a half-marathon. Eleven trained runners (9 males, 2 females; age 32 ± 8 y, 89:53 ± 13:28 min half-marathon personal record) completed a familiarisation (8 miles) and two experimental trials (13.1 miles) on an outdoor running course, with blood and urine samples collected before and after the run. Subjective GI measures were made throughout the run. Carbohydrate was provided as a natural fructose source in the form of apple puree (AP) or highly processed crystalline fructose (GF) in a 2:1 glucose-to-fructose ratio (additional required glucose was provided through maltodextrin). Half-marathon performance was not different between carbohydrate sources (AP 89:52 ± 09:33 min, GF 88:44 ± 10:09 min; P = 0.684). There were no interaction effects for GI comfort (P = 0.305) or other GI symptoms (P ≥ 0.211). There were no differences between carbohydrate sources in ad libitum fluid intake (AP 409 ± 206 mL; GF 294 ± 149 mL; P = 0.094) or any other urinary (P ≥ 0.724), blood-based (P ≥ 0.215) or subjective (P ≥ 0.421) measures. Apple puree as a natural fructose source was equivalent to crystalline fructose in supporting half-marathon running performance without increasing GI symptoms. Highlights Research examining food-first and food-based approaches to carbohydrate supplementation and endurance running performance are limited. Therefore, this study aimed to compare carbohydrate supplements either containing a natural or highly processed fructose source as part of a glucose-fructose supplement on half-marathon running performance and gastrointestinal comfort in trained runners. Running performance (apple puree 89:52 ± 09:33 min vs. crystalline fructose 88:44 ± 10:09 min), gastrointestinal comfort and symptoms were not different between the two fructose sources. Apple puree can be effectively used as a carbohydrate source to fuel half-marathon running performance.

Evaluation of a Restoration Algorithm Applied to Clipped Tibial Acceleration Signals

Wireless accelerometers with various operating ranges have been used to measure tibial acceleration. Accelerometers with a low operating range output distorted signals and have been found to result in inaccurate measurements of peaks. A restoration algorithm using spline interpolation has been proposed to restore the distorted signal. This algorithm has been validated for axial peaks within the range of 15.0–15.9 g. However, the accuracy of peaks of higher magnitude and the resultant peaks have not been reported. The purpose of the present study is to evaluate the measurement agreement of the restored peaks using a low-range accelerometer (±16 g) against peaks sampled using a high-range accelerometer (±200 g). The measurement agreement of both the axial and resultant peaks were examined. In total, 24 runners were equipped with 2 tri-axial accelerometers at their tibia and completed an outdoor running assessment. The accelerometer with an operating range of ±200 g was used as reference. The results of this study showed an average difference of −1.40 ± 4.52 g and −1.23 ± 5.48 g for axial and resultant peaks. Based on our findings, the restoration algorithm could skew data and potentially lead to incorrect conclusions if used without caution.

Quantifying and correcting for speed and stride frequency effects on running mechanics in fatiguing outdoor running.

Measuring impact-related quantities in running is of interest to improve the running technique. Many quantities are typically measured in a controlled laboratory setting, even though most runners run in uncontrolled outdoor environments. While monitoring running mechanics in an uncontrolled environment, a decrease in speed or stride frequency can mask fatigue-related changes in running mechanics. Hence, this study aimed to quantify and correct the subject-specific effects of running speed and stride frequency on changes in impact-related running mechanics during a fatiguing outdoor run. Seven runners ran a competitive marathon while peak tibial acceleration and knee angles were measured with inertial measurement units. Running speed was measured through sports watches. Median values over segments of 25 strides throughout the marathon were computed and used to create subject-specific multiple linear regression models. These models predicted peak tibial acceleration, knee angles at initial contact, and maximum stance phase knee flexion based on running speed and stride frequency. Data were corrected for individual speed and stride frequency effects during the marathon. The speed and stride frequency corrected and uncorrected data were divided into ten stages to investigate the effect of marathon stage on mechanical quantities. This study showed that running speed and stride frequency explained, on average, 20%-30% of the variance in peak tibial acceleration, knee angles at initial contact, and maximum stance phase knee angles while running in an uncontrolled setting. Regression coefficients for speed and stride frequency varied strongly between subjects. Speed and stride frequency corrected peak tibial acceleration, and maximum stance phase knee flexion increased throughout the marathon. At the same time, uncorrected maximum stance phase knee angles showed no significant differences between marathon stages due to a decrease in running speed. Hence, subject-specific effects of changes in speed and stride frequency influence the interpretation of running mechanics and are relevant when monitoring, or comparing the gait pattern between runs in uncontrolled environments.

Estimating Running Speed From Wrist- or Waist-Worn Wearable Accelerometer Data: A Machine Learning Approach

Background: Running is a popular form of exercise, and its physiological effects are strongly modulated by speed. Accelerometry-based activity monitors are commonly used to measure physical activity in research, but no method exists to estimate running speed from only accelerometer data. Methods: Using three cohorts totaling 72 subjects performing treadmill and outdoor running, we developed linear, ridge, and gradient-boosted tree regression models to estimate running speed from raw accelerometer data from waist- or wrist-worn devices. To assess model performance in a real-world scenario, we deployed the best-performing model to data from 16 additional runners completing a 13-week training program while equipped with waist-worn accelerometers and commercially available foot pods. Results: Linear, ridge, and boosted tree models estimated speed with 12.0%, 11.6%, and 11.2% mean absolute percentage error, respectively, using waist-worn accelerometer data. Errors were greater using wrist-worn data, with linear, ridge, and boosted tree models achieving 13.8%, 14.0%, and 12.8% error. Across 663 free-living runs, speed was significantly associated with run duration (p = .009) and perceived run intensity (p = .008). Speed was nonsignificantly associated with fatigue (p = .07). Estimated speeds differed from foot pod measurements by 7.25%; associations and statistical significance were similar when speed was assessed via accelerometry versus via foot pod. Conclusion: Raw accelerometry data can be used to estimate running speed in free-living data with sufficient accuracy to detect associations with important measures of health and performance. Our approach is most useful in studies where research grade accelerometry is preferable to traditional global positioning system or foot pod-based measurements, such as in large-scale observational studies on physical activity.

Perceived Impact of the COVID-19 Pandemic on Playing Golf: A Qualitative Content Analysis Study

Golf is a very popular outdoor sport played worldwide by people from various socio-economic backgrounds. During the COVID-19 pandemic, lockdowns and quarantine restrictions led to closures of indoor and outdoor sport facilities and thus also affected the access to golf courses. This study aimed at elucidating perceptions of golfers regarding the impact of the crisis on their sport. We surveyed a sample of golfers in German-speaking countries (primarily Austria and Germany) from March to June 2021. A content analysis on golfers’ responses (n = 923) to an open-ended question on their feelings and engagement in alternative ways of physical activity in light of closed sport facilities was performed. More than 23% of the comments concerned negative feelings on how the pandemic impacted the surveyed golfers, especially due to reluctance to accept the closure of outdoor sports facilities. Almost all participants stated to perform alternative outdoor sports, mostly hiking, biking, walking, and running. In times of a pandemic, public spaces should be designed to allow for safe physical activity to maintain a mentally and physically fit population. In this context, policy makers should provide hygiene concepts that allow for minimal disturbance of sport routines, especially in regard to outdoor sports such as golf.

Is Stryd critical power a meaningful parameter for runners?

Stryd is a foot pod that reliably estimates running power. Our objectives were to examine the efficacy of the website-generated Stryd critical power (CPSTRYD) as a meaningful parameter for runners. 20 runners performed their regular training while wearing Stryd for a minimum of 6 weeks to generate CPSTRYD. Runners completed laboratory graded exercise testing, and outdoor 1500 m and 5000 m time trails. CPSTRYD was most similar to the second ventilatory threshold (VT2) or the onset of blood lactate accumulation (OBLA) and is highly predictive of running performance. Stryd ground contact time (GCT) was a predictor of performance when comparing runners at the same submaximal treadmill speed. CPSTRYD generated from outdoor running is equivalent to that calculated using an established CP model. However, variance between different methods of CP estimation must be a consideration for runners and coaches. Stryd offers meaningful data for runners including a realistic estimate of CP.

Training Evaluation Model of Outdoor Cross-Country Sports Tourism Project Based on Lagrangian Differential Equation Calculation

Abstract This paper uses Lagrangian differential equations to study the effect of road roughness on the average speed of outdoor trail running. The purpose is to analyze the dynamic model of off-road sports. In this paper, the longitudinal and cross-sectional data of the road are collected and pre-processed, mainly on gravel pavement. Then this paper proposes an approximate formula for the relationship between running speed and road surface roughness. Furthermore, this paper uses the Lagrangian differential equation to solve the road non-uniformity and running speed. Finally, this paper presents an off-road speed prediction method on random uneven road conditions. Finally, the simulation experiments demonstrate that the model based on the Lagrangian differential equation can comprehensively reflect various factors affecting the average outdoor off-road speed. The power spectral density of each sampling point of the model, load input, etc., are all meaningful. This model meets the needs of simulation experiments.

Reliability of Running Stability during Treadmill and Overground Running.

Running stability is the ability to withstand naturally occurring minor perturbations during running. It is susceptible to external and internal running conditions such as footwear or fatigue. However, both its reliable measurability and the extent to which laboratory measurements reflect outdoor running remain unclear. This study aimed to evaluate the intra- and inter-day reliability of the running stability as well as the comparability of different laboratory and outdoor conditions. Competitive runners completed runs on a motorized treadmill in a research laboratory and overground both indoors and outdoors. Running stability was determined as the maximum short-term divergence exponent from the raw gyroscope signals of wearable sensors mounted to four different body locations (sternum, sacrum, tibia, and foot). Sacrum sensor measurements demonstrated the highest reliabilities (good to excellent; ICC = 0.85 to 0.91), while those of the tibia measurements showed the lowest (moderate to good; ICC = 0.55 to 0.89). Treadmill measurements depicted systematically lower values than both overground conditions for all sensor locations (relative bias = -9.8% to -2.9%). The two overground conditions, however, showed high agreement (relative bias = -0.3% to 0.5%; relative limits of agreement = 9.2% to 15.4%). Our results imply moderate to excellent reliability for both overground and treadmill running, which is the foundation of further research on running stability.

Developing a brand personality framework in the context of outdoor small-scale sport events

Outdoor small scale sport events like trail or local city running races are on a rise. Several event managers pivot their promotional strategies by developing unique brand personality characteristics to support their products from competition. This study aimed to develop a brand personality scale for outdoor small scale running events with the usage of mixed methods approach. First, 24 semi-structured interviews were conducted within event managers and trail runners to conceptualize the brand personality in small scale sport event settings. Then, an exploratory factor analysis was performed in 216 runners to identify the underlying construct. A third study with 396 respondents was carried out to validate the hypothesized scale. The results indicated a five factor model with seventeen characteristics: Safe, Local-oriented, Authentic, Competitive and Excited. This study has theoretical and practical significant contribution for both brand personality literature and sport event marketers as it strengths the promotional actions and provides a better event personality conceptualization for outdoor small scale events. Finally, several managerial implications are discussed in the later sections.

Runners Experience Lower Heart Rate, Increased Speed, and Joy/Calm on Routes with Trees, by the Sea and through Parks: Implications for Climate Change Design

The beneficial effects of green and blue areas on human wellbeing are significant. Physical activity is a crucial factor for the promotion of good human health and wellbeing, and running constitutes one of the most popular forms of outdoor physical activity. This study examines the effect of six urban “route landscapes” with different landscape characters used for outdoor running on the heart rates and speeds of 30 people wearing a smartwatch while running. These routes included: (1) a running track in a stadium; (2) a road without street trees; (3) a road with street trees; (4) an urban park without sea view; (5) an urban park with sea view; and (6) a road by the sea. Additionally, a questionnaire survey was conducted to determine participants’ perceptions and preferred “route landscape” for running. In the study, higher heart rates were recorded on routes without trees, including the stadium. The lowest heart rate was recorded in the park by the sea, followed by the road by the sea, which were at the lowest altitudes amongst the routes studied. Additionally, the highest mean speed of participants was recorded during the run on the road by the sea. The results also showed that irrespectively of the routes, increases in altitude and gradient caused an increase in the heart rates. In the survey, the majority of respondents stated that they would have felt calm and joy during a run either in a park or in a park by the sea. With rising sea levels dictating not to build, carbon capture being necessary in parks, and trees by roads reducing the heat island effect, this study reveals the best “route landscapes” for runners’ health and global warming.

Sensor-based gait training to reduce contact time for runners with exercise-related lower leg pain: a randomised controlled trial

ObjectivesTo assess the effects of a 4-week randomised controlled trial comparing an outdoor gait-training programme to reduce contact time in conjunction with home exercises (contact time gait-training feedback with home...

Investigating the use of Spatialized Audio Augmented Reality to enhance the outdoor running experience

Recent years have seen increasing interest in the use of Virtual Reality technology to enhance the experience of physical exercise activities. When such technologies are used, they are traditionally employed to an indoor setting. In this study, we investigate the use of Spatialized Audio Augmented Reality (AAR) to allow users to compete against their past running records in real time. An experiment study was carried out where 84 participants used the AAR system to compete against a virtual opponent generated using (1) their previous best record, (2) an enhanced version of their previous best record, (3) the previous best record of another user in comparison to (4) a control group. The results showed that while the Augmented Reality conditions did significantly enhance the running performance of users, it did not outperform the traditional training experience to a significant degree. In terms of user experience, participants competing in AAR against their past best record and an enhanced version of their previous best record reported a higher level of tension but did not feel more challenge or competence. After reflecting upon the design of our system, we then highlight several insights regarding the use and design of AAR to promote running related exercise activities.

Validity of three smartwatches in estimating energy expenditure during outdoor walking and running.

Commercially wrist-worn devices often present inaccurate estimations of energy expenditure (EE), with large between-device differences. We aimed to assess the validity of the Apple Watch Series 6 (AW), Garmin FENIX 6 (GF) and Huawei Watch GT 2e (HW) in estimating EE during outdoor walking and running. Twenty young normal-weight Chinese adults concurrently wore three index devices randomly positioned at both wrists during walking at 6 km/h and running at 10 km/h for 2 km on a 400- meter track. As a criterion, EE was assessed by indirect calorimetry (COSMED K5). For walking, EE from AW and GF was significantly higher than that obtained by the K5 (p < 0.001 and 0.002, respectively), but not for HW (p = 0.491). The mean absolute percentage error (MAPE) was 19.8% for AW, 32.0% for GF, and 9.9% for HW, respectively. The limits of agreement (LoA) were 44.1, 150.1 and 48.6 kcal for AW, GF, and HW respectively. The intraclass correlation coefficient (ICC) was 0.821, 0.216 and 0.760 for AW, GF, and HW, respectively. For running, EE from AW and GF were significantly higher than the K5 (p < 0.001 and 0.001, respectively), but not for HW (p = 0.946). The MAPE was 24.4%, 21.8% and 11.9% for AW, GF and HW, respectively. LoA were 62.8, 89.4 and 65.6 kcal for AW, GF and HW, respectively. The ICC was 0.741, 0.594, and 0.698 for AW, GF and HW, respectively. The results indicate that the tested smartwatches show a moderate validity in EE estimations for outdoor walking and running.

Effects of six weeks outdoor versus treadmill running on physical fitness and body composition in recreationally active young males: a pilot study.

BackgroundRunning as exercise may be performed either on an outdoor surface or treadmill surface. However, previous research has indicated that the nature of both the surfaces differ significantly and therefore the training outcomes from running in these surfaces may also vary.AimTherefore, the aim of this pilot study was to compare the effects of 6-weeks of supervised outdoor running (OT) vs treadmill running (TT) on physical fitness and body composition in recreationally active young males.MethodsParticipants (age: 19.82 ± 1.28 years, height: 172.6 ± 4.9 cm, body mass: 64.3 ± 8.7 kg) were randomly assigned to OT (n = 14) or TT (n = 14), and assessed for physical fitness, i.e., 50 m sprint, cardiorespiratory endurance (i.e., 1,600 m run time-trial), standing long jump (SLJ), flexibility (i.e., sit-and-reach test), and upper-body muscle endurance (i.e., push-ups repetitions), alongside body composition, i.e., body mass, body mass index (BMI), fat percentage, fat free mass, and leg skeletal muscle mass (SMM). A two (pre-post intervention) by two (OT, TT) mixed ANOVA analysed exercise-specific effects. For significant group-by-time interactions, Bonferroni adjusted paired (within-group) and independent (between-group comparisons at post) t-tests were used for post-hoc analyses.ResultsSignificant time-effect was found in all physical fitness variables (all p < 0.001, ηp2 = 0.67–0.91), body mass (p = 0.23, ηp2 = 0.18), BMI (p = 0.009, ηp2 = 0.24), body fat percentage (p = 0.001, ηp2 = 0.38), and leg SMM (p = 0.002–0.007, ηp2 = 0.25–0.33). Significant group-by-time interaction was found for 50 m sprint (p = < 0.001, ηp2 = 0.74), 1,600 m run (p = 0.001, ηp2 = 0.35), and SLJ (p < 0.001, ηp2 = 0.43), favouring OT. Group-specific post-hoc tests showed improvements in all physical fitness variables after OT (p = < 0.001–0.001, g = 0.69–2.32, %Δ = 3.0–12.4) and TT (p = < 0.001–0.017, g = 0.15–0.65, %Δ = 0.9–11.7), and fat percentage after OT and TT (p = 0.002–0.041, g = 0.14–0.26, %Δ = 4.3–6.0). However, leg SMM decreased in TT (p = 0.001–0.004, g = 0.14–0.15, %Δ = 6.2–6.7).ConclusionsBoth OT and TT improved physical fitness and decreased fat percentage. However, compared to TT, the OT intervention preserved leg SMM and induced greater physical fitness improvements.

Validity of Wearable Monitors and Smartphone Applications to Measure Steps and Distance in Adolescents

The growing popularity of wearable physical activity (PA) monitors and fitness applications (apps) in recent years and the vast amounts of data that they generate present attractive possibilities for surveillance. However, measurement accuracy is indispensable when tracking PA variables to provide meaningful measures of PA. The purpose of this study was to examine the criterion validity of wearable PA monitors and a combination of GPS and accelerometer free of charge smartphone apps, during self-paced outdoor walking and running. Thirty-eight healthy adolescents (15.3±2.0 years) participated in this cross-sectional study. They were fitted with Garmin Forerunner 310XT, Garmin Vivofit, Medisana Vifit, and smartphones running the Runkeeper, Runtastic, Sports Tracker (GPS), Pedometer, Accupedo, Pedometer and Pedometer 2.0 (accelerometer) apps. They were asked to walk and run 1.22 km for each trial and two researchers counted every step taken during trials with a digital tally counter. Validity was evaluated by comparing each device with the criterion measure using Repeated measures analysis of variance (ANOVA), Mean Absolute Percentage Errors (MAPE) and Bland-Altman plots. MAPE were low for Forerunner and GPS apps for distance in both conditions (2.27%- 9.73%), and significantly higher for the accelerometer monitors and apps (6.92%-39.02%). Vivofit (MAPE=6.51%) and Vifit (MAPE=6.66%) accurately estimated the number of steps during walking, however only Vivofit (MAPE=3.95%) was accurate during running. All accelerometer-based apps had high MAPE for step counting (9.87%-40.26%). The findings suggested that GPS monitors and apps were accurate tools for counting distance during walking and running, while accelerometer- based monitors and apps had higher errors. Vivofit provided accurate estimates of step count in both conditions, and Medisana Vifit was valid during walking. Accupedo was the only app with an acceptable step count error.

Modelling 5-km Running Performance on Level and Hilly Terrains in Recreational Runners.

Simple SummaryIn the last decades, performance models have helped to comprehend the mechanisms involved in long-term physical performance. In addition, predictive models have aided in the evaluation and prescription of physical training. Here, we tested the hypothesis that physiological assessments under inclined conditions would better explain hilly running performance. We also checked the predictive role of running biomechanical, anthropometric, and neuromuscular factors. Velocity associated with maximal oxygen consumption was more predictive when assessed in inclined conditions (7%) than testing at level. Secondarily, ventilatory thresholds submaximal heart rate improved the performance models at hilly and level conditions. Spatiotemporal, strength, and anthropometric factors were not determinants of performance. Physiological assessments in inclined conditions predict 5-km running performance at hilly terrains in higher degree than evaluations at level in endurance runners.Incline and level running on treadmills have been extensively studied due to their different cardiorespiratory and biomechanical acute responses. However, there are no studies examining the performance determinants of outdoor running on hilly terrains. We aimed to investigate the influence of anthropometrics, muscle strength, and cardiorespiratory and gait spatiotemporal parameters during level (0%) and inclined (+7%) running on performance in level and hilly 5-km races. Twenty male recreational runners completed two 5-km outdoor running tests (0% vs. +7% and −7%), and two submaximal (10 km·h−1) and incremental treadmill tests at 0 and 7% slopes, after complete laboratory evaluations. The velocity at maximal oxygen consumption (VO2max) evaluated at 7% incline and level treadmill running were the best performance predictors under both hilly (R2 = 0.72; p < 0.05) and level (R2 = 0.85; p < 0.01) conditions, respectively. Inclusion of ventilatory and submaximal heart rate data improved the predictive models up to 100%. Conversely, none of the parameters evaluated in one condition contributed to the other condition. The spatiotemporal parameters and the runners’ strength levels were not associated to outdoor performances. These results indicate that the vVO2max evaluated at similar slopes in the lab can be used to predict 5-km running performances on both level and hilly terrains.

Heat and sun related medical concerns in Australian led outdoor activities: a three-year prospective study

Active participation in the outdoors is beneficial for health and wellbeing. However, the impact of extreme weather, particularly heat, on safe participation is causing concern for organisations who lead these activities. Local mitigation strategies and acute management of heat- and sun-related illness (HSRI) are generally well understood by researchers and medical practitioners, however, cases continue to occur so further understanding of why this happens is required. This study aimed to identify the number, nature and contributory factors of HSRI in Australian led outdoor activities in order to seek opportunities for their prevention. This study presents a descriptive analysis of contributory factors to HSRI occurring during led outdoor activities. Cases were prospectively collected across 3 years (2014-2017) from a national Australian incident reporting system. Cases were included by identification of keywords linked with sun or heat exposure. From 2,015 incident cases, 48 cases were included: 25 termed heat stroke and 23 as “other adverse outcomes related to sun or heat.” One in three (35%) cases occurred during outdoor walking or running, and one in four occurred while camping. A total 146 contributory factors were identified. These factors were attributed to the activity participant (e.g. competence, decision making); equipment and resources (e.g. food/drink, dehydration); and environment (e.g. hot weather.). Mild to moderate HSRI was identifiable by signs/symptoms. Contributory factors were linked to the individual participant. Potentially, these factors could be mitigated through system focused approaches. Awareness of wider responsibility for preventing HSRI should be promoted across led outdoor activities.