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Kanurennsport ist in Deutschland eine der erfolgreichsten olympischen
Sommersportarten und hat mit 12 potenziellen Goldmedaillenchancen eine hohe
Bedeutung für den deutschen Spitzensport. In der nationalen als auch
internationalen wissenschaftlichen Forschung ist Kanurennsport jedoch bis dato
unzureichend untersucht. Dabei stellt Kanurennsport als eine der wenigen vorrangig
durch die Oberkörpermuskulatur angetriebenen Sportarten eine Besonderheit dar.
Ein zentraler Forschungsschwerpunkt ist seit einigen Jahrzehnten die Erforschung
der optimalen Verteilung der Trainingsintensität (engl. training intensity distribution;
TID) für die Leistungsentwicklung von Ausdauerathlet:innen. Häufig wird die
Trainingsintensität hierzu in einem Drei-Zonen-Modell kategorisiert, bei dem Zone
(Z) 1 einer Intensität unterhalb der aeroben Schwelle, Z2 der Intensität zwischen
der aeroben und anaeroben Schwelle und Z3 Intensitäten oberhalb der anaeroben
Schwelle entspricht. Forschungsergebnisse weisen darauf hin, dass sich die TID
nicht nur in Abhängigkeit von Sportart, Belastungsform, Trainingsstatus und
Saisonphase unterscheidet, sondern auch in Abhängigkeit von der eingesetzten
Quantifizierungsmethode (z.B. Herzfrequenz, Geschwindigkeit, Wattleistung, etc.).
Für die Sportart Kanurennsport besteht bezüglich TID-Forschung großer
Nachholbedarf, da bisherige Untersuchungen ausschließlich in Ausdauerportarten
stattfanden, die hauptsächlich den Unterkörper (z.B. Radfahren, Laufen) oder Oberund
Unterkörper (Schwimmen, Rudern) in die Vortriebsgenerierung einbinden.
Bislang fehlen Informationen zu rein aus dem Oberkörper angetriebenen
Sportarten.
Als Grundlage für die Bestimmung der Trainingsintensitätszonen werden in
Trainingspraxis und Forschung Stufentests zur Bestimmung der maximalen
Sauerstoffaufnahme sowie der Leistung an der aeroben und anaeroben
ventilatorisch- und/oder laktatbasierten Schwelle angewandt. Die Stufentest werden
im Kanurennsport aktuell vorrangig mittels Labordiagnostik auf dem Kanu-
Ergometer durchgeführt, da diese weniger stark durch die diversen Umwelteinflüsse
(Wind, Wellen, Temperatur, Strömung, etc.) beeinträchtigt wird. Jedoch gibt es
Hinweise, dass die Belastung auf dem Ergometer biomechanisch und physiologisch
von der auf dem Wasser im Kanurennsport abweicht, sodass deren Mehrwert für
die Diagnostik und die Trainingsplanung in Frage zu stellen ist.
Ziel der vorliegenden kumulativen Dissertation war es
(1) zu untersuchen, inwiefern eine laborbasierte Leistungsdiagnostik einer
feldbasierten im Kanurennsport entspricht (Studie 1) und daraufhin die
Methoden der Leistungsdiagnostik für die Studien 2 und 3 zu wählen; und
(2) erste wissenschaftliche Erkenntnisse zur TID und deren
Quantifizierungsmethodik in der Sportart Kanurennsport zu gewinnen
(Studie 2 & 3).
Diese sollten dann mit dem Wissensstand aus Sportarten, die obere und untere
Extremitäten (z.B. Biathlon, Rudern) bzw. primär die unteren Extremitäten (z.B.
Radsport, Laufen) für den Vortrieb einsetzen, abgeglichen werden.
Zusammenfassend konnte zunächst in Studie 1 aufgrund von Unterschieden in der
VO2, der Muskeloxygenierung im Musculus biceps brachii sowie im subjektiven
Belastungsempfinden dargestellt werden, dass sich eine Belastung auf dem
Wasser von der auf dem Ergometer unterscheidet und somit eine wasserbasierte
Leistungsdiagnostik im Kanurennsport vorzuziehen ist.
Die Ergebnisse aus den Studien 2 und 3 zeigten, dass die TID im Saisonverlauf
variiert und im Mittel einen hohen Anteil (80–90%) niedrigintensiven Trainings (Z1)
aufwies, wobei in der Vorbereitungsphase eine pyramidale TID Struktur (Z1>Z2>Z3)
und in der Wettkampfvorbereitung die Tendenz zu einer vermehrt polarisierten
Struktur (Z1>Z3>Z2) gefunden wurde. Somit weisen die Ergebnisse trotz der
physiologischen sowie biomechanischen Unterschiede zu Sportarten, die Oberbzw.
Ober- und Unterkörper bei der Vortriebsgenerierung einsetzen, eine
vergleichbare TID Struktur im Kanurennsport auf. Es ist zu vermuten, dass der
geringe Impact auf das Skelettmuskelsystem und die damit einhergehende
Möglichkeit, sehr hohe Trainingsvolumen mit der vergleichsweise kleinen
Oberkörpermuskulatur zu verwirklichen, diese TID-Struktur bedingen. Zudem
konnte dargestellt werden, dass die Wahl der Quantifizierungsmethode (extern vs.
intern; basierend auf physiologischen Parametern vs. Wettkampftempo) die
Darstellung der TID beeinflusst. Für eine adäquate Vergleichbarkeit und den
gezielten Einsatz muss insofern in der Forschung wie auch in den Sportarten ein
Konsens über die Wahl der Quantifizierungsmethode erarbeitet werden. Es scheint
zudem empfehlenswert die TID-Quantifizierungsmethode anhand der
Trainingsphase auszuwählen, wobei sich in der allgemeinen und spezifischen
Vorbereitungsperiode vorzugsweise eine TID Quantifizierung nach physiologischen
Kenngrößen empfiehlt. Hierbei erscheint ein Mix aus HF-basierter Analyse für Z1
sowie für längere Belastungen in Z2 und geschwindigkeitsbasierter Analyse für Z3
sowie kürzere Belastungen der Z2 zweckmäßig. In der Wettkampfvorbereitung stellt
sich dann zusätzlich eine Zoneneinteilung basierend auf dem Wettkampftempo als
sinnvoll dar.
Aufgrund der starken intra- und interindividuellen Variation der TID ist der
individuelle Mehrwert der auf dem Gruppenmittelwert basierenden Ergebnisse
jedoch zu hinterfragen und weist auf den Bedarf nach einer individuelleren
Betrachtung der TID und ihrer Effekte hin. Genauso stellt sich ein starker Einfluss
der allgemeinen physischen Aktivität sowie psychischer Belastungen auf die TID
und ihre Effekte dar, der wiederrum die Notwendigkeit eines holistischen
Betrachtungsansatzes für zukünftige Forschung aufzeigt. Außerdem gibt es im
Allgemeinen eine große Wissenslücke in Bezug auf Athletinnen in der TIDForschung,
weshalb die bisherigen Erkenntnisse für die Trainingsgestaltung
weiblicher Athleten mit Vorsicht behandelt werden müssen.
Background and Objectives: Chronic painful midportion Achilles combined with plantaris tendinopathy can be a troublesome condition to treat. The objective was to prospectively follow patients subjected to ultrasound (US)- and color doppler (CD)-guided wide awake, local anesthetic, no-tourniquet (WALANT) surgery in a private setting. Material and Methods: Twenty-six Swedish patients (17 men and 9 women, mean age 50 years (range 29–62)) and eight international male patients (mean age of 38 years (range 25–71)) with combined midportion Achilles and plantaris tendinopathy in 45 tendons altogether were included. All patients had had >6 months of pain and had tried non-surgical treatment with eccentric training, without effect. US + CD-guided surgical scraping of the ventral Achilles tendon and plantaris removal under local anesthesia was performed on all patients. A 4–6-week rehabilitation protocol with an immediate full-weight-bearing tendon loading regime was used. The VISA-A score and a study-specific questionnaire evaluating physical activity level and subjective satisfaction with the treatment were used for evaluation. Results: At the 1-year follow-up, 32/34 patients (43 tendons) were satisfied with the treatment result and had returned to their pre-injury Achilles tendon loading activity. There were two dropouts (two tendons). For the Swedish patients, the mean VISA-A score increased from 34 (0–64) before surgery to 93 (61–100) after surgery (p < 0.001). There were two complications, one wound rupture and one superficial skin infection. Conclusions: For patients suffering from painful midportion Achilles tendinopathy and plantaris tendinopathy, US + CD-guided surgical Achilles tendon scraping and plantaris tendon removal showed a high satisfaction rate and good functional results 1 year after surgery.
Hintergrund
Kommunale Bewegungsförderung kann zur Vermeidung lebensstilbedingter Erkrankungen beitragen, ist aber keine kommunale Pflichtaufgabe, weshalb es in der Regel keine klaren Zuständigkeiten dafür gibt. Um zu verstehen, wie kommunale Bewegungsförderung in Deutschland vorangebracht werden kann, ist es wichtig, potenzielle Multiplikator*innen in städtischen und ländlichen Kommunen zu identifizieren und deren Rollen zu charakterisieren.
Methodische Vorgehensweise
Es wurden 18 potenzielle Multiplikator*innen der kommunalen Gesundheits- und Bewegungsförderung auf verschiedenen Ebenen (Bundesland, Landkreis/Stadt, Gemeinde/Stadtteil) in leitfadengestützten semistrukturierten Interviews zu ihrer eigenen Rolle sowie zu ihrer Wahrnehmung der Rollen anderer Akteur*innen befragt. Die Auswertung erfolgte gemäß der inhaltlich-strukturierenden Inhaltsanalyse nach Kuckartz.
Ergebnisse
(Landes‑)Gesundheitsämter und Gesundheitskonferenzen nehmen eine beratende, vernetzende und fachlich unterstützende Rolle ein. Auf der Umsetzungsebene vor Ort müssen sich im Einzelfall Kümmer*innen finden, die in Stadt und Land unterschiedlich sein können. Die befragten Quartiermanager*innen sehen ihre primäre Rolle in der Arbeit mit den Bürger*innen, die Verwaltungsmitarbeiter*innen in der administrativen Abwicklung von Projekten.
Schlussfolgerung
Fachliche Impulse zur kommunalen Bewegungsförderung können über Landesgesundheitsämter an Akteur*innen in Landkreisen und Städten weitergegeben werden. Für die Multiplikation und Umsetzung in einzelnen Gemeinden und Stadtteilen müssen Verantwortliche vor Ort gefunden werden bzw. Strukturen aufgebaut werden.
Posture and mobility are important aspects for spinal health. In the context of low back pain, strategies to alter postural anomalies (e.g., hyper/hypolordosis, hyper/hypokyphosis) and mobility deficits (e.g., bending restrictions) have been of interest to researchers and clinicians. Machine-based isolated lumbar extension resistance exercise (ILEX) has been used successfully for rehabilitation of patients suffering from low back pain. The aim of this study was to analyse the immediate effects of ILEX on spinal posture and mobility. In this interventional cohort study, the posture and mobility measures of 33 healthy individuals (m = 17, f = 16; mean age 30.0 years) were taken using the surface-based Spinal Mouse system (IDIAG M360©, Fehraltdorf, Switzerland). Individuals performed one exercise set to full exhaustion with an ILEX-device (Powerspine, Wuerzburg, Germany) in a standardized setup, including uniform range of motion and time under tension. Scans were made immediately before and after the exercise. There was an immediate significant decrease in standing lumbar lordosis and thoracic kyphosis. No change could be observed in standing pelvic tilt. Mobility measures showed a significant decrease in the lumbar spine and an increase in the sacrum. The results show that ILEX alters spine posture and mobility in the short-term, which may benefit certain patient groups.
Background: According to socio-ecological theories, physical activity behaviors are linked to the physical and social neighborhood environment. Reliable and contextually adapted instruments are needed to assess environmental characteristics related to physical activity. This work aims to develop an audit toolbox adapted to the German context, to urban and rural settings, for different population groups, and different types of physical activity; and to evaluate its inter-rater reliability.
Methods: We conducted a systematic literature search to collect existing audit tools and to identify the latest evidence of environmental factors influencing physical activity in general, as well as in German populations. The results guided the construction of a category system for the toolbox. Items were assigned to the categories based on their relevance to physical activity and to the German context as well as their comprehensibility. We piloted the toolbox in different urban and rural areas (100 street segments, 15 parks, and 21 playgrounds) and calculated inter-rater reliability by Cohen's Kappa.
Results: The audit toolbox comprises a basic streetscape audit with seven categories (land use and destinations, traffic safety, pedestrian infrastructure, cycling infrastructure, attractiveness, social environment, and subjective assessment), as well as supplementary tools for children and adolescents, seniors and people with impaired mobility, parks and public open spaces, playgrounds, and rural areas. 76 % of all included items had moderate, substantial, or almost perfect inter-rater reliability (κ > 0.4).
Conclusions: The audit toolbox is an innovative and reliable instrument for the assessment of the physical activity friendliness of urban and rural environments in Germany.
The present review examines retrospective analyses of training intensity distribution (TID), i.e., the proportion of training at moderate (Zone 1, Z1), heavy (Z2) and severe (Z3) intensity by elite-to-world-class endurance athletes during different phases of the season. In addition, we discuss potential implications of our findings for research in this field, as well as for training by these athletes. Altogether, we included 175 TIDs, of which 120 quantified exercise intensity on the basis of heart rate and measured time-in-zone or employed variations of the session goal approach, with demarcation of zones of exercise intensity based on physiological parameters. Notably, 49% of the TIDs were single-case studies, predominantly concerning cross-country skiing and/or the biathlon. Eighty-nine TIDs were pyramidal (Z1 > Z2 > Z3), 65 polarized (Z1 > Z3 > Z2) and 8 “threshold” (Z2 > Z1 = Z3). However, these relative numbers varied between sports and the particular phases of the season. In 91% (n = 160) of the TIDs >60% of the endurance exercise was of low intensity. Regardless of the approach to quantification or phase of the season, cyclists and swimmers were found to perform a lower proportion of exercise in Z1 (<72%) and higher proportion in Z2 (>16%) than athletes involved in the triathlon, speed skating, rowing, running, cross-country skiing or biathlon (>80% in Z1 and <12% in Z2 in all these cases). For most of the athletes their proportion of heavy-to-severe exercise was higher during the period of competition than during the preparatory phase, although with considerable variability between sports. In conclusion, the existing literature in this area does not allow general conclusions to be drawn. The methods utilized for quantification vary widely and, moreover, contextual information concerning the mode of exercise, environmental conditions, and biomechanical aspects of the exercise is often lacking. Therefore, we recommend a more comprehensive approach in connection with future investigations on the TIDs of athletes involved in different endurance sports.
Here, we performed a non-systematic analysis of the strength, weaknesses, opportunities, and threats (SWOT) associated with the application of artificial intelligence to sports research, coaching and optimization of athletic performance. The strength of AI with regards to applied sports research, coaching and athletic performance involve the automation of time-consuming tasks, processing and analysis of large amounts of data, and recognition of complex patterns and relationships. However, it is also essential to be aware of the weaknesses associated with the integration of AI into this field. For instance, it is imperative that the data employed to train the AI system be both diverse and complete, in addition to as unbiased as possible with respect to factors such as the gender, level of performance, and experience of an athlete. Other challenges include e.g., limited adaptability to novel situations and the cost and other resources required. Opportunities include the possibility to monitor athletes both long-term and in real-time, the potential discovery of novel indicators of performance, and prediction of risk for future injury. Leveraging these opportunities can transform athletic development and the practice of sports science in general. Threats include over-dependence on technology, less involvement of human expertise, risks with respect to data privacy, breaching of the integrity and manipulation of data, and resistance to adopting such new technology. Understanding and addressing these SWOT factors is essential for maximizing the benefits of AI while mitigating its risks, thereby paving the way for its successful integration into sport science research, coaching, and optimization of athletic performance.
Background
Exercise intensities are prescribed using specific intensity zones (moderate, heavy, and severe) determined by a ‘lower’ and a ‘higher’ threshold. Typically, ventilatory (VT) or blood lactate thresholds (LT), and critical power/speed concepts (CP/CS) are used. Various heart rate variability-derived thresholds (HRVTs) using different HRV indices may constitute applicable alternatives, but a systematic review of the proximity of HRVTs to established threshold concepts is lacking.
Objective
This systematic review aims to provide an overview of studies that determined HRVTs during endurance exercise in healthy adults in comparison with a reference VT and/or LT concept.
Methods
A systematic literature search for studies determining HRVTs in healthy individuals during endurance exercise and comparing them with VTs or LTs was conducted in Scopus, PubMed and Web of Science (until January 2022). Studies claiming to describe similar physiological boundaries to delineate moderate from heavy (HRVTlow vs. VTlow and/or LTlow), and heavy from severe intensity zone (HRVThigh vs. VThigh and/or LThigh) were grouped and their results synthesized.
Results
Twenty-seven included studies (461 participants) showed a mean difference in relative HR between HRVTlow and VTlow of − 0.6%bpm in weighted means and 0.02%bpm between HRVTlow and LTlow. Bias between HR at HRVTlow and VTlow was 1 bpm (limits of agreement (LoA): − 10.9 to 12.8 bpm) and 2.7 bpm (LoA: − 20.4 to 25.8 bpm) between HRVTlow and LTlow. Mean difference in HR between HRVThigh and VThigh was 0.3%bpm in weighted means and 2.9%bpm between HRVThigh and LThigh while bias between HR at HRVThigh and VThigh was − 4 bpm (LoA: − 17.9 to 9.9 bpm) and 2.5 bpm (LoA: − 12.1 to 17.1 bpm) between HRVThigh and LThigh.
Conclusion
HRVTlow seems to be a promising approach for the determination of a ‘lower’ threshold comparable to VTlow and potentially for HRVThigh compared to VThigh, although the latter needs further empirical evaluation. LoA for both intensity zone boundaries indicates bias of HRVTs on an individual level. Taken together, HRVTs can be a promising alternative for prescribing exercise intensity in healthy, male athletes undertaking endurance activities but due to the heterogeneity of study design, threshold concepts, standardization, and lack of female participants, further research is necessary to draw more robust and nuanced conclusions.
Objectives
To assess the impact of HIIT performed at school, i.e. both in connection with physical education (intra-PE) and extracurricular sports activities (extra-PE), on the physical fitness and health of children and adolescents.
Methods
PubMed and SPORTDiscus were searched systematically utilizing the following criteria for inclusion: (1) healthy children and adolescents (5–18 years old) of normal weight; (2) HIIT performed intra- and/or extra-PE for at least 5 days at an intensity ≥ 80% of maximal heart rate (HR\(_{max}\)) or peak oxygen uptake (VO\(_{2peak}\)) or as Functional HIIT; (3) comparison with a control (HIIT versus alternative interventions); and (4) pre- and post-analysis of parameters related to physical fitness and health. The outcomes with HIIT and the control interventions were compared utilizing Hedges’ g effect size (ES) and associated 95% confidence intervals.
Results
Eleven studies involving 707 participants who performed intra-PE and 388 participants extra-PE HIIT were included. In comparison with the control interventions, intra-PE HIIT improved mean ES for neuromuscular and anaerobic performance (ES jump performance: 5.89 ± 5.67 (range 1.88–9.90); ES number of push-ups: 6.22 (range n.a.); ES number of sit-ups: 2.66 ± 2.02 (range 1.24–4.09)), as well as ES fasting glucose levels (− 2.68 (range n.a.)) more effectively, with large effect sizes. Extra-PE HIIT improved mean ES for neuromuscular and anaerobic performance (ES jump performance: 1.81 (range n.a.); ES number of sit-ups: 2.60 (range n.a.)) to an even greater extent, again with large effect sizes. Neither form of HIIT was more beneficial for parameters related to cardiorespiratory fitness than the control interventions.
Conclusion
Compared to other forms of exercise (e.g. low-to-moderate-intensity running or walking), both intra- and extra-PE HIIT result in greater improvements in neuromuscular and anaerobic performance, as well as in fasting levels of glucose in school children.
Regular physical activity during childhood and adolescence is associated with health benefits. Consequently, numerous health promotion programs for children and adolescents emphasize the enhancement of physical activity. However, the ActivityStat hypothesis states that increases in physical activity in one domain are compensated for by decreasing physical activity in another domain. Currently, little is known about how physical activity varies in children and adolescents within intervals of one day or multiple days. This systematic review provides an overview of studies that analyzed changes in (overall) physical activity, which were assessed with objective measurements, or compensatory mechanisms caused by increases or decreases in physical activity in a specific domain in children and adolescents. A systematic search of electronic databases (PubMed, Scopus, Web of Science, SportDiscus) was performed with a priori defined inclusion criteria. Two independent researchers screened the literature and identified and rated the methodological quality of the studies. A total of 77 peer-reviewed articles were included that analyzed changes in overall physical activity with multiple methodological approaches resulting in compensation or displacement. Of 40,829 participants, 16,265 indicated compensation associated with physical activity. Subgroup analyses separated by study design, participants, measurement instrument, physical activity context, and intervention duration also showed mixed results toward an indication of compensation. Quality assessment of the included studies revealed that they were of high quality (mean = 0.866). This review provides inconclusive results about compensation in relation to physical activity. A trend toward increased compensation in interventional studies and in interventions of longer duration have been observed.
Establishing a cardiac training group for patients with heart failure: the "HIP-in-Würzburg" study
(2022)
Background
Exercise training in heart failure (HF) is recommended but not routinely offered, because of logistic and safety-related reasons. In 2020, the German Society for Prevention&Rehabilitation and the German Society for Cardiology requested establishing dedicated ""HF training groups."" Here, we aimed to implement and evaluate the feasibility and safety of one of the first HF training groups in Germany.
Methods
Twelve patients (three women) with symptomatic HF (NYHA class II/III) and an ejection fraction ≤ 45% participated and were offered weekly, physician-supervised exercise training for 1 year. Patients received a wrist-worn pedometer (M430 Polar) and underwent the following assessments at baseline and after 4, 8 and 12 months: cardiopulmonary exercise test, 6-min walk test, echocardiography (blinded reading), and quality of life assessment (Kansas City Cardiomyopathy Questionnaire, KCCQ).
Results
All patients (median age [quartiles] 64 [49; 64] years) completed the study and participated in 76% of the offered 36 training sessions. The pedometer was worn ≥ 1000 min per day over 86% of the time. No cardiovascular events occurred during training. Across 12 months, NT-proBNP dropped from 986 pg/ml [455; 1937] to 483 pg/ml [247; 2322], and LVEF increased from 36% [29;41] to 41% [32;46]%, (p for trend = 0.01). We observed no changes in exercise capacity except for a subtle increase in peak VO2% predicted, from 66.5 [49; 77] to 67 [52; 78]; p for trend = 0.03. The physical function and social limitation domains of the KCCQ improved from 60 [54; 82] to 71 [58; 95, and from 63 [39; 83] to 78 [64; 92]; p for trend = 0.04 and = 0.01, respectively. Positive trends were further seen for the clinical and overall summary scores.
Conclusion
This pilot study showed that the implementation of a supervised HF-exercise program is feasible, safe, and has the potential to improve both quality of life and surrogate markers of HF severity. This first exercise experiment should facilitate the design of risk-adopted training programs for patients with HF.
Background
Physical activity (PA) guidelines acknowledge the health benefits of regular moderate-to-vigorous physical activity (MVPA) regardless of bout duration. However, little knowledge exists concerning the type and intensity distribution of structured and incidental lifestyle PA of students and office workers. The present study aimed to i) assess the duration and distribution of intensity of MVPAs during waking hours ≥50% of heart rate reserve (HRR), ii) to identify the type of PA through diary assessment, iii) to assign these activities into structured and lifestyle incidental PA, and iv) to compare this information between students and office workers.
Methods
Twenty-three healthy participants (11 students, 12 office workers) recorded heart rate (HR) with a wrist-worn HR monitor (Polar M600) and filled out a PA diary throughout seven consecutive days (i.e. ≥ 8 waking h/day). Relative HR zones were calculated, and PA diary information was coded using the Compendium of PA. We matched HR data with the reported PA and identified PA bouts during waking time ≥ 50% HRR concerning duration, HRR zone, type of PA, and assigned each activity to incidental and structured PA. Descriptive measures for time spend in different HRR zones and differences between students and office workers were calculated.
Results
In total, we analyzed 276.894 s (76 h 54 min 54 s) of waking time in HRR zones ≥50% and identified 169 different types of PA. The participants spend 31.9 ± 27.1 min/day or 3.9 ± 3.2% of their waking time in zones of ≥50% HRR with no difference between students and office workers (p > 0.01). The proportion of assigned incidental lifestyle PA was 76.9 ± 22.5%.
Conclusions
The present study provides initial insights regarding the type, amount, and distribution of intensity of structured and incidental lifestyle PA ≥ 50% HRR. Findings show a substantial amount of incidental lifestyle PA during waking hours and display the importance of promoting a physically active lifestyle. Future research could employ ambulatory assessments with integrated electronic diaries to detect information on the type and context of MVPA during the day.
Einleitung: Die gesamtgesellschaftlichen Veränderungen und der Wandel der Arbeit halten auch in den Hochschulen Einzug und stellen diese vor große Herausforderungen. Weitreichende und anhaltende Reformen sowie Veränderungsprozesse bedürfen in den einzelnen Hochschulen Maßnahmen, um die Leistungsbereitschaft und die psychische Gesundheit der Beschäftigten zu erhalten und zu fördern. Organisationskultur stellt einen wichtigen zu berücksichtigenden Faktor innerhalb diesen Wandels dar und ist in der Literatur ein oft benutztes Konzept zur Vorhersage der Leistungsfähigkeit in Wirtschafts-, aber auch Nonprofit – Organisationen. Bedeutsame Zusammenhänge zwischen Organisationskultur und Gesundheit zeigen sich insbesondere in den ver- schiedenen Studien zum Bielefelder Sozialkapitalansatz. Im Hochschulkontext findet das Konzept Organisationskultur jedoch kaum Berücksichtigung.
Um die Gestaltungsmöglichkeiten zu einer gesundheitsförderlichen und motivieren den Organisation aufzeigen zu können, war es das Ziel der vorliegenden Arbeit her- auszustellen, dass Hochschulen individuelle Organisationskulturen innehaben und Or- ganisationskultur auch im Hochschulkontext ein wichtiger Einflussfaktor für die Vorher- sage der psychischen Gesundheit und der Leistungsbereitschaft ist. Die Dissertation richtete sich an zwei Forschungsfragen aus:
1.Weisen Hochschulen spezifische Organisationskulturen auf?
2.Welche kulturellen Aspekte beeinflussen die psychische Gesundheit, sowie die motivationalen Aspekte von Hochschulmitarbeiter*innen?
Methodik: Nach der theoretischen Einführung in die Besonderheiten der Organisation Hochschule und der Darstellung des Bielefelder Sozialkapitalkonzepts mit Schwerpunkt auf der Organisationskultur wird auf Grundlage einer Fragebogenerhebung untersucht, ob sich die Hochschulen in ihren Ausprägungen der Organisationskultur unterscheiden und ob diese eine Ressource für die psychische Gesundheit und einen Garanten für Leistungsbereitschaft darstellt. Der Einfluss der einzelnen Dimensionen von Organisationskultur wurde detailliert untersucht, um ein differenziertes Bild über die Wirkmechanismen zu erhalten und Handlungsempfehlungen ableiten zu können. Zusätzlich wurde geprüft, ob der Zugang zur Ressource Organisationskultur von soziodemografischen Daten abhängig ist.
Die Querschnittsanalyse basierte auf schriftlichen Befragungen an insgesamt 10 Hochschulen in Deutschland. In die Analyse wurden die Daten von 5453 Befragten eingeschlossen. Diese wurden mittels einer multiplen Imputation bearbeitet, um trotz fehlender Werte die inferenzstatistischen Verfahren umsetzen zu können. Die Datenanalyse erfolgte anhand uni-, bi- und schließlich multivariater Verfahren.
Ergebnisse: Die Varianzaufklärung durch die Hochschulen in Bezug auf die Organisationskultur mittels Random-Intercept-Only-Modellen ergab für 2 von 3 Dimensionen signifikante Effekte (p < 0,05) mit einem ICC von 0,047 für die Ebene Dezernat / Fakultät und einem ICC von 0,074 für die Ebene Hochschule. Die zentralen Ergebnisse der Zusammenhangsanalysen mittels multipler linearer Regressionen zeigen, dass Organisationskultur unter Adjustierung soziodemografischer Daten einen Einfluss auf die Aspekte der psychischen Gesundheit und der motivationalen Aspekte hat. Der Anteil aufgeklärter Varianz für die Modelle beläuft sich für die Vorhersagen zwischen R²kor =
.092 für das Merkmal kognitiven Stresssymptome und R²kor = .361 für das Merkmal Arbeitszufriedenheit. Mittels einfacher linearer Regressionen konnte aufgezeigt wer- den, dass sowohl das Commitment als auch die Arbeitszufriedenheit Einfluss auf das Wohlbefinden, die depressive Verstimmung und die Erschöpfungszustände haben. Die Haupteinflussfaktoren der Organisationskultur sind auf die Dimensionen Arbeitsbereich und Hochschule zurückzuführen. Hierzu zählen im Arbeitsbereich die Partizipation, das Vorhandensein gemeinsamer Ziele und Werte und der Umgang mit Problemen, für die Dimension Hochschule die gelebte Kultur und die Verlässlichkeit der Hochschulleitung.
Diskussion: Aufgrund der Ergebnisse kann angenommen werden, dass Hochschulen individuelle Organisationskulturen innehaben. Dies bietet den Entscheidungsträgern der einzelnen Hochschulen individuelle Ansatzpunkte zur Gestaltung einer gesund- heitsförderlichen und motivierenden Organisationskultur. Es zeigt sich außerdem, dass die Organisationskultur auch im Hochschulkontext einen wichtigen Einflussfaktor für die psychische Gesundheit und die Leistungsbereitschaft der Mitarbeiter*innen darstellt. Insbesondere im Arbeitsbereich und auf Ebene der Hochschulleitung bestehen Ansatz- punkte, um eine an Mitarbeiter*innen orientierte, gesundheitsförderliche und motivierende Arbeitsumgebung für die Mitarbeiter*innen zu gestalten und zu fördern.
(1) Background: Reconditioning of the paraspinal lumbar extensor muscles by isolated lumbar extension resistance exercises (ILEX) has shown good clinical results for patients with chronic unspecific low back pain. However, the clinical value and safety for patients with specific spine pathologies is unclear. In this study, clinical outcome and influencing factors were retrospectively analyzed for patients with lumbar disk herniation (LDH) and radiculopathy. (2) Methods: 189 consecutive patients (123 men and 66 women; mean age, 36 years) with clinically diagnosed LDH and relative indications for surgery started a 9-week rehabilitation program (2x/week) including ILEX in limited range of motion (ROM) adjusted to patients’ symptoms. Patients diagnosed with advanced levels of spine degeneration were excluded. Pain/radiculopathy (PR), influence on mental health (IOMH), satisfaction rates were measured via Numeric Rating Scales (NRS, 0–10), and overall clinical outcome was stated in % (100% = full recovery). Isometric extension strength was tested before and after the program. (3) Results: 168 patients (88.9%) completed the program. For 162 out of 168 patients (96.4%) there was a significant reduction of clinical symptoms, whereas 6 patients reported no changes in symptoms. Scores (mean) for symptom intensity decreased from 4.2 (±1.5) to 1.9 (±1.5) (p < 0.001), the impact on mental health decreased from 5.9 (±2.3) to 2.4 (±2.0) (p < 0.001). There was a (weak) correlation between lower scores for PR and IOMH before the study and better clinical outcomes; PR also weakly correlated with satisfaction. Other factors such as age, strength increase, level/location and number of LDH did not have a significant impact on the clinical results. (4) Conclusion: The results indicate that ILEX in limited ROM can be an effective treatment for the majority of patients with LDH. For patients with high pain levels, the results are less consistent, and surgery may be considered.
Trainingsprozesse sollten individualisiert und situativ an das Verhältnis zwischen Belastung bzw. Beanspruchung und Erholung angepasst werden, um optimale physiologische Adaptionen und Leistungsverbesserungen zu erzielen. Dazu müssen verschiedene Belastungs- und Beanspruchungsmarker erfasst, analysiert und interpretiert werden. Durch technologische Entwicklungen im Bereich tragbarer Sensorik (Wearables) ist es inzwischen möglich, eine Vielzahl an relevanten Belastungs- und/oder Beanspruchungsmarkern in der Praxis zu erheben. Übergeordnetes Ziel der Dissertation war, den Einsatz von Wearables zum Monitoring von Belastungs- und/oder Beanspruchungsmarkern zur individualisierten und situativ angepassten Steuerung von Trainingsprozessen aus trainingswissenschaftlicher Perspektive zu untersuchen.
Es wurden sechs Studien durchgeführt. Es konnte gezeigt werden,
1. dass einige, aber nicht alle relevanten Belastungs- und Beanspruchungsmarker mit derzeit kommerziell erhältlichen Wearables erfasst werden können (Studie 1),
2. dass viele Marker welche von Wearables erhoben werden nicht auf Reliabilität und/oder Validität hin untersucht worden sind und/oder dass sich die Reliabilität und/oder Validität zwischen Wearables und verschiedenen sportlichen Aktivitäten unterscheidet und deren Anwendung daher limitiert ist (Studie 1,2,3),
3. dass die Apple Watch Series 4, gefolgt von der Polar Vantage V, die derzeit beste Validität zur Erfassung der Herzfrequenz bei Athleten während verschiedenen Laufintensitäten aufweist (Studie 3).
4. dass bei Läufern ein individualisiert gesteuerter Trainingsprozess (basierend auf Daten des autonomen Nervensystems erfasst durch Wearables) zu größeren Leistungsverbesserungen
und ausgewählten submaximalen physiologischen Adaptionen führt, als ein nicht individualisiert gesteuerter Trainingsprozess (Studie 4),
5. dass ein System benötigt wird, welches verschiedene Technologien zur weiteren Ausdifferenzierung eines individualisiert gesteuerten Trainingsprozesses vereint (Studie 5).
Es bleiben weitere Fragen offen die Klärung bedürfen, wenn Wearables zum Monitoring von Belastungs- und/oder Beanspruchungsmarkern zur individualisierten Steuerung von Trainingsprozessen verwendet werden sollen. Zu diesen Fragen gehören unter anderem:
1. Welche Auswahl an Belastungs- und/oder Beanspruchungsmarkern sowie Wearables in Abhängigkeit der Sportart, der Athletenpopulation und der Trainingsphase optimal ist,
2. ob die Erfassung von großen Datenmengen sowie die Anwendung von Big Data Analysen einen Mehrwert bei der individuellen Steuerung von Trainingsprozessen liefern,
3. wie ein (Bio-)Feedback optimal gestaltet wird,
4. wie Trainer mit Wearables interagieren,
5. welche Abänderung des Trainingsprozesses in Abhängigkeit der jeweiligen Sportart und Athletenpopulation auf Basis welches Parameters optimal ist.
Virtual online training has emerged as one of the top 20 worldwide fitness trends for 2021 and continues to develop rapidly. Although this allows the cycling community to engage in virtual training and competition, critical evaluation of virtual training platforms is limited. Here, we discuss the strengths, weaknesses, opportunities and threats associated with virtual training technology and cycling in an attempt to enhance awareness of such aspects. Strengths include immersive worlds, innovative drafting mechanics, and versatility. Weaknesses include questionable data accuracy, inadequate strength and reliability of power-speed algorithms. Opportunities exist for expanding strategic partnerships with major cycling races, brands, and sponsors and improving user experience with the addition of video capture and “e-coaching.” Threats are present in the form of cheating during competition, and a lack of uptake and acceptance by a broader community.
Purpose
Pronounced differences in individual physiological adaptation may occur following various training mesocycles in runners. Here we aimed to assess the individual changes in performance and physiological adaptation of recreational runners performing mesocycles with different intensity, duration and frequency.
Methods
Employing a randomized cross-over design, the intra-individual physiological responses [i.e., peak (\(\dot{VO}_{2peak}\)) and submaximal (\(\dot{VO}_{2submax}\)) oxygen uptake, velocity at lactate thresholds (V\(_2\), V\(_4\))] and performance (time-to-exhaustion (TTE)) of 13 recreational runners who performed three 3-week sessions of high-intensity interval training (HIIT), high-volume low-intensity training (HVLIT) or more but shorter sessions of HVLIT (high-frequency training; HFT) were assessed.
Results
\(\dot{VO}_{2submax}\), V\(_2\), V\(_4\) and TTE were not altered by HIIT, HVLIT or HFT (p > 0.05). \(\dot{VO}_{2peak}\) improved to the same extent following HVLIT (p = 0.045) and HFT (p = 0.02). The number of moderately negative responders was higher following HIIT (15.4%); and HFT (15.4%) than HVLIT (7.6%). The number of very positive responders was higher following HVLIT (38.5%) than HFT (23%) or HIIT (7.7%). 46% of the runners responded positively to two mesocycles, while 23% did not respond to any.
Conclusion
On a group level, none of the interventions altered \(\dot{VO}_{2submax}\), V\(_2\), V\(_4\) or TTE, while HVLIT and HFT improved \(\dot{VO}_{2peak}\). The mean adaptation index indicated similar numbers of positive, negative and non-responders to HIIT, HVLIT and HFT, but more very positive responders to HVLIT than HFT or HIIT. 46% responded positively to two mesocycles, while 23% did not respond to any. These findings indicate that the magnitude of responses to HIIT, HVLIT and HFT is highly individual and no pattern was apparent.
Background: Physical activity reduces the incidences of noncommunicable diseases, obesity, and mortality, but an inactive lifestyle is becoming increasingly common. Innovative approaches to monitor and promote physical activity are warranted. While individual monitoring of physical activity aids in the design of effective interventions to enhance physical activity, a basic prerequisite is that the monitoring devices exhibit high validity.
Objective: Our goal was to assess the validity of monitoring heart rate (HR) and energy expenditure (EE) while sitting or performing light-to-vigorous physical activity with 4 popular wrist-worn wearables (Apple Watch Series 4, Polar Vantage V, Garmin Fenix 5, and Fitbit Versa).
Methods: While wearing the 4 different wearables, 25 individuals performed 5 minutes each of sitting, walking, and running at different velocities (ie, 1.1 m/s, 1.9 m/s, 2.7 m/s, 3.6 m/s, and 4.1 m/s), as well as intermittent sprints. HR and EE were compared to common criterion measures: Polar-H7 chest belt for HR and indirect calorimetry for EE.
Results: While monitoring HR at different exercise intensities, the standardized typical errors of the estimates were 0.09-0.62, 0.13-0.88, 0.62-1.24, and 0.47-1.94 for the Apple Watch Series 4, Polar Vantage V, Garmin Fenix 5, and Fitbit Versa, respectively. Depending on exercise intensity, the corresponding coefficients of variation were 0.9%-4.3%, 2.2%-6.7%, 2.9%-9.2%, and 4.1%-19.1%, respectively, for the 4 wearables. While monitoring EE at different exercise intensities, the standardized typical errors of the estimates were 0.34-1.84, 0.32-1.33, 0.46-4.86, and 0.41-1.65 for the Apple Watch Series 4, Polar Vantage V, Garmin Fenix 5, and Fitbit Versa, respectively. Depending on exercise intensity, the corresponding coefficients of variation were 13.5%-27.1%, 16.3%-28.0%, 15.9%-34.5%, and 8.0%-32.3%, respectively.
Conclusions: The Apple Watch Series 4 provides the highest validity (ie, smallest error rates) when measuring HR while sitting or performing light-to-vigorous physical activity, followed by the Polar Vantage V, Garmin Fenix 5, and Fitbit Versa, in that order. The Apple Watch Series 4 and Polar Vantage V are suitable for valid HR measurements at the intensities tested, but HR data provided by the Garmin Fenix 5 and Fitbit Versa should be interpreted with caution due to higher error rates at certain intensities. None of the 4 wrist-worn wearables should be employed to monitor EE at the intensities and durations tested."
The aim of this study was to investigate inter-day and -week as well as intra- and inter-individual variation of selected biomarkers in high-performance youth soccer players to assist practitioners interpreting player’s internal load to counteract underperformance and unwanted health risks. Eleven male youth soccer players were tested multiple times during two 3-week periods at midpoint (3-wkmid) and at the end (3-wkend) of the first half of a German under-19 1. Bundesliga season. The levels of creatine kinase (CK), urea, and C-reactive protein (CRP) were measured during 3-wkmid and 3-wkend each Monday, Wednesday, and Friday. In 3-wkmid the CK median was 14% higher (241 vs. 212 U/L) compared to 3-wkend (P = 0.26, ES = 0.16). Overall, the medians of CK, urea (P = 0.59, ES = 0.08), and CRP (P = 0.56, ES = 0.10) during 3-wkmid did not differ to the values of 3-wkend. Daily coefficient of variations (CVs) ranged from 22 to 71% (CK), 17 to 37% (urea), and 9 to 164% (CRP). Individual medians ranged from 101 to 350 U/L (CK), 23 to 50 mg/dL (urea), and 0.6 to 1.1 mg/L (CRP). High intra-individual variability was demonstrated by large intra-individual CVs (medians: CK 50%, urea 18%, and CRP 45%). Our data show (i) large inter-day and inter-week variability of all biomarkers, depending on the external load and (ii) considerable inter- and intra-individual parameter variations. Creatine kinase concentrations could sensitively reflect soccer-specific loads during the season.
The rating of perceived exertion (RPE) is a subjective load marker and may assist in individualizing training prescription, particularly by adjusting running intensity. Unfortunately, RPE has shortcomings (e.g., underreporting) and cannot be monitored continuously and automatically throughout a training sessions. In this pilot study, we aimed to predict two classes of RPE (≤15 “Somewhat hard to hard” on Borg’s 6–20 scale vs. RPE >15 in runners by analyzing data recorded by a commercially-available smartwatch with machine learning algorithms. Twelve trained and untrained runners performed long-continuous runs at a constant self-selected pace to volitional exhaustion. Untrained runners reported their RPE each kilometer, whereas trained runners reported every five kilometers. The kinetics of heart rate, step cadence, and running velocity were recorded continuously ( 1 Hz ) with a commercially-available smartwatch (Polar V800). We trained different machine learning algorithms to estimate the two classes of RPE based on the time series sensor data derived from the smartwatch. Predictions were analyzed in different settings: accuracy overall and per runner type; i.e., accuracy for trained and untrained runners independently. We achieved top accuracies of 84.8 % for the whole dataset, 81.8 % for the trained runners, and 86.1 % for the untrained runners. We predict two classes of RPE with high accuracy using machine learning and smartwatch data. This approach might aid in individualizing training prescriptions.