TY - GEN A1 - Henschke, Jakob A1 - Kaplick, Hannes A1 - Wochatz, Monique A1 - Engel, Tilman T1 - Assessing the validity of inertial measurement units for shoulder kinematics using a commercial sensor-software system T2 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe N2 - Background and Aims Wearable inertial sensors may offer additional kinematic parameters of the shoulder compared to traditional instruments such as goniometers when elaborate and time-consuming data processing procedures are undertaken. However, in clinical practice simple-real time motion analysis is required to improve clinical reasoning. Therefore, the aim was to assess the criterion validity between a portable "off-the-shelf" sensor-software system (IMU) and optical motion (Mocap) for measuring kinematic parameters during active shoulder movements. Methods 24 healthy participants (9 female, 15 male, age 29 +/- 4 years, height 177 +/- 11 cm, weight 73 +/- 14 kg) were included. Range of motion (ROM), total range of motion (TROM), peak and mean angular velocity of both systems were assessed during simple (abduction/adduction, horizontal flexion/horizontal extension, vertical flexion/extension, and external/internal rotation) and complex shoulder movements. Criterion validity was determined using intraclass-correlation coefficients (ICC), root mean square error (RMSE) and Bland and Altmann analysis (bias; upper and lower limits of agreement). Results ROM and TROM analysis revealed inconsistent validity during simple (ICC: 0.040-0.733, RMSE: 9.7 degrees-20.3 degrees, bias: 1.2 degrees-50.7 degrees) and insufficient agreement during complex shoulder movements (ICC: 0.104-0.453, RMSE: 10.1 degrees-23.3 degrees, bias: 1.0 degrees-55.9 degrees). Peak angular velocity (ICC: 0.202-0.865, RMSE: 14.6 degrees/s-26.7 degrees/s, bias: 10.2 degrees/s-29.9 degrees/s) and mean angular velocity (ICC: 0.019-0.786, RMSE:6.1 degrees/s-34.2 degrees/s, bias: 1.6 degrees/s-27.8 degrees/s) were inconsistent. Conclusions The "off-the-shelf" sensor-software system showed overall insufficient agreement with the gold standard. Further development of commercial IMU-software-solutions may increase measurement accuracy and permit their integration into everyday clinical practice. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 809 KW - diagnostic techniques and procedures KW - kinematics KW - shoulder joint KW - validation study KW - wearable devices Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-578278 SN - 1866-8364 SP - 1 EP - 11 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Khajooei, Mina A1 - Quarmby, Andrew A1 - Kaplick, Hannes A1 - Mayer, Frank A1 - Engel, Tilman T1 - An analysis of lower extremity kinematics in response to perturbations during running using statistical parametric mapping JF - Journal of biomechanics N2 - Investigating of locomotor disturbances are relevant in human injury and performance. Therefore, lower extremity kinematics were analysed in response to decelerative perturbations during running using statistical parametric mapping (SPM). 13 asymptomatic individuals (8 females & 5 males, 28 +/- 3 years, 171 +/- 9 cm, 68 +/- 10 kg) completed an 8-minute running protocol with 30 one-sided perturbations (15 each side) to generate decelerative disturbances. A 3D-motion capture system was employed to record kinematic data. Joint angles of the ankle, knee, and hip in addition to stride duration, stride length and step width were calculated for leading and trailing strides. Results were analysed descriptively, followed by SPM of paired t-tests (P < 0.025). Reactively (after perturbation), perturbations caused decreased hip adduction and stride duration of the leading leg. The trailing leg reacted with ankle inversion, knee and hip flexion, hip abduction, as well as an increase in stride duration and step width (P < 0.025). In preparation for perturbation, the trailing leg reduced ankle dorsiflexion, knee flexion, hip flexion, and adduction. In summary, applied perturbations produced substantial reactive (feedback) and predictive (feedforward) responses of the lower limbs, most apparent in the trailing leg. KW - curve analysis KW - gait KW - stumbling KW - joint angle KW - feedback KW - feedforward Y1 - 2022 U6 - https://doi.org/10.1016/j.jbiomech.2022.111276 SN - 0021-9290 SN - 1873-2380 VL - 143 PB - Elsevier Science CY - Amsterdam [u.a.] ER - TY - RPRT A1 - Brodeur, Abel A1 - Mikola, Derek A1 - Cook, Nikolai A1 - Brailey, Thomas A1 - Briggs, Ryan A1 - Gendre, Alexandra de A1 - Dupraz, Yannick A1 - Fiala, Lenka A1 - Gabani, Jacopo A1 - Gauriot, Romain A1 - Haddad, Joanne A1 - Lima, Goncalo A1 - Ankel-Peters, Jörg A1 - Dreber, Anna A1 - Campbell, Douglas A1 - Kattan, Lamis A1 - Fages, Diego Marino A1 - Mierisch, Fabian A1 - Sun, Pu A1 - Wright, Taylor A1 - Connolly, Marie A1 - Hoces de la Guardia, Fernando A1 - Johannesson, Magnus A1 - Miguel, Edward A1 - Vilhuber, Lars A1 - Abarca, Alejandro A1 - Acharya, Mahesh A1 - Adjisse, Sossou Simplice A1 - Akhtar, Ahwaz A1 - Lizardi, Eduardo Alberto Ramirez A1 - Albrecht, Sabina A1 - Andersen, Synve Nygaard A1 - Andlib, Zubaria A1 - Arrora, Falak A1 - Ash, Thomas A1 - Bacher, Etienne A1 - Bachler, Sebastian A1 - Bacon, Félix A1 - Bagues, Manuel A1 - Balogh, Timea A1 - Batmanov, Alisher A1 - Barschkett, Mara A1 - Basdil, B. Kaan A1 - Dower, Jaromneda A1 - Castek, Ondrej A1 - Caviglia-Harris, Jill A1 - Strand, Gabriella Chauca A1 - Chen, Shi A1 - Chzhen, Asya A1 - Chung, Jong A1 - Collins, Jason A1 - Coppock, Alexander A1 - Cordeau, Hugo A1 - Couillard, Ben A1 - Crechet, Jonathan A1 - Crippa, Lorenzo A1 - Cui, Jeanne A1 - Czymara, Christian A1 - Daarstad, Haley A1 - Dao, Danh Chi A1 - Dao, Dong A1 - Schmandt, Marco David A1 - Linde, Astrid de A1 - Melo, Lucas De A1 - Deer, Lachlan A1 - Vera, Micole De A1 - Dimitrova, Velichka A1 - Dollbaum, Jan Fabian A1 - Dollbaum, Jan Matti A1 - Donnelly, Michael A1 - Huynh, Luu Duc Toan A1 - Dumbalska, Tsvetomira A1 - Duncan, Jamie A1 - Duong, Kiet Tuan A1 - Duprey, Thibaut A1 - Dworschak, Christoph A1 - Ellingsrud, Sigmund A1 - Elminejad, Ali A1 - Eissa, Yasmine A1 - Erhart, Andrea A1 - Etingin-Frati, Giulian A1 - Fatemi-Pour, Elaheh A1 - Federice, Alexa A1 - Feld, Jan A1 - Fenig, Guidon A1 - Firouzjaeiangalougah, Mojtaba A1 - Fleisje, Erlend A1 - Fortier-Chouinard, Alexandre A1 - Engel, Julia Francesca A1 - Fries, Tilman A1 - Fortier, Reid A1 - Fréchet, Nadjim A1 - Galipeau, Thomas A1 - Gallegos, Sebastián A1 - Gangji, Areez A1 - Gao, Xiaoying A1 - Garnache, Cloé A1 - Gáspár, Attila A1 - Gavrilova, Evelina A1 - Ghosh, Arijit A1 - Gibney, Garreth A1 - Gibson, Grant A1 - Godager, Geir A1 - Goff, Leonard A1 - Gong, Da A1 - González, Javier A1 - Gretton, Jeremy A1 - Griffa, Cristina A1 - Grigoryeva, Idaliya A1 - Grtting, Maja A1 - Guntermann, Eric A1 - Guo, Jiaqi A1 - Gugushvili, Alexi A1 - Habibnia, Hooman A1 - Häffner, Sonja A1 - Hall, Jonathan D. A1 - Hammar, Olle A1 - Kordt, Amund Hanson A1 - Hashimoto, Barry A1 - Hartley, Jonathan S. A1 - Hausladen, Carina I. A1 - Havránek, Tomáš A1 - Hazen, Jacob A1 - He, Harry A1 - Hepplewhite, Matthew A1 - Herrera-Rodriguez, Mario A1 - Heuer, Felix A1 - Heyes, Anthony A1 - Ho, Anson T. Y. A1 - Holmes, Jonathan A1 - Holzknecht, Armando A1 - Hsu, Yu-Hsiang Dexter A1 - Hu, Shiang-Hung A1 - Huang, Yu-Shiuan A1 - Huebener, Mathias A1 - Huber, Christoph A1 - Huynh, Kim P. A1 - Irsova, Zuzana A1 - Isler, Ozan A1 - Jakobsson, Niklas A1 - Frith, Michael James A1 - Jananji, Raphaël A1 - Jayalath, Tharaka A. A1 - Jetter, Michael A1 - John, Jenny A1 - Forshaw, Rachel Joy A1 - Juan, Felipe A1 - Kadriu, Valon A1 - Karim, Sunny A1 - Kelly, Edmund A1 - Dang, Duy Khanh Hoang A1 - Khushboo, Tazia A1 - Kim, Jin A1 - Kjellsson, Gustav A1 - Kjelsrud, Anders A1 - Kotsadam, Andreas A1 - Korpershoek, Jori A1 - Krashinsky, Lewis A1 - Kundu, Suranjana A1 - Kustov, Alexander A1 - Lalayev, Nurlan A1 - Langlois, Audrée A1 - Laufer, Jill A1 - Lee-Whiting, Blake A1 - Leibing, Andreas A1 - Lenz, Gabriel A1 - Levin, Joel A1 - Li, Peng A1 - Li, Tongzhe A1 - Lin, Yuchen A1 - Listo, Ariel A1 - Liu, Dan A1 - Lu, Xuewen A1 - Lukmanova, Elvina A1 - Luscombe, Alex A1 - Lusher, Lester R. A1 - Lyu, Ke A1 - Ma, Hai A1 - Mäder, Nicolas A1 - Makate, Clifton A1 - Malmberg, Alice A1 - Maitra, Adit A1 - Mandas, Marco A1 - Marcus, Jan A1 - Margaryan, Shushanik A1 - Márk, Lili A1 - Martignano, Andres A1 - Marsh, Abigail A1 - Masetto, Isabella A1 - McCanny, Anthony A1 - McManus, Emma A1 - McWay, Ryan A1 - Metson, Lennard A1 - Kinge, Jonas Minet A1 - Mishra, Sumit A1 - Mohnen, Myra A1 - Möller, Jakob A1 - Montambeault, Rosalie A1 - Montpetit, Sébastien A1 - Morin, Louis-Philippe A1 - Morris, Todd A1 - Moser, Scott A1 - Motoki, Fabio A1 - Muehlenbachs, Lucija A1 - Musulan, Andreea A1 - Musumeci, Marco A1 - Nabin, Munirul A1 - Nchare, Karim A1 - Neubauer, Florian A1 - Nguyen, Quan M. P. A1 - Nguyen, Tuan A1 - Nguyen-Tien, Viet A1 - Niazi, Ali A1 - Nikolaishvili, Giorgi A1 - Nordstrom, Ardyn A1 - Nü, Patrick A1 - Odermatt, Angela A1 - Olson, Matt A1 - ien, Henning A1 - Ölkers, Tim A1 - Vert, Miquel Oliver i. A1 - Oral, Emre A1 - Oswald, Christian A1 - Ousman, Ali A1 - Özak, Ömer A1 - Pandey, Shubham A1 - Pavlov, Alexandre A1 - Pelli, Martino A1 - Penheiro, Romeo A1 - Park, RyuGyung A1 - Martel, Eva Pérez A1 - Petrovičová, Tereza A1 - Phan, Linh A1 - Prettyman, Alexa A1 - Procházka, Jakub A1 - Putri, Aqila A1 - Quandt, Julian A1 - Qiu, Kangyu A1 - Nguyen, Loan Quynh Thi A1 - Rahman, Andaleeb A1 - Rea, Carson H. A1 - Reiremo, Adam A1 - Renée, Laëtitia A1 - Richardson, Joseph A1 - Rivers, Nicholas A1 - Rodrigues, Bruno A1 - Roelofs, William A1 - Roemer, Tobias A1 - Rogeberg, Ole A1 - Rose, Julian A1 - Roskos-Ewoldsen, Andrew A1 - Rosmer, Paul A1 - Sabada, Barbara A1 - Saberian, Soodeh A1 - Salamanca, Nicolas A1 - Sator, Georg A1 - Sawyer, Antoine A1 - Scates, Daniel A1 - Schlüter, Elmar A1 - Sells, Cameron A1 - Sen, Sharmi A1 - Sethi, Ritika A1 - Shcherbiak, Anna A1 - Sogaolu, Moyosore A1 - Soosalu, Matt A1 - Srensen, Erik A1 - Sovani, Manali A1 - Spencer, Noah A1 - Staubli, Stefan A1 - Stans, Renske A1 - Stewart, Anya A1 - Stips, Felix A1 - Stockley, Kieran A1 - Strobel, Stephenson A1 - Struby, Ethan A1 - Tang, John A1 - Tanrisever, Idil A1 - Yang, Thomas Tao A1 - Tastan, Ipek A1 - Tatić, Dejan A1 - Tatlow, Benjamin A1 - Seuyong, Féraud Tchuisseu A1 - Thériault, Rémi A1 - Thivierge, Vincent A1 - Tian, Wenjie A1 - Toma, Filip-Mihai A1 - Totarelli, Maddalena A1 - Tran, Van-Anh A1 - Truong, Hung A1 - Tsoy, Nikita A1 - Tuzcuoglu, Kerem A1 - Ubfal, Diego A1 - Villalobos, Laura A1 - Walterskirchen, Julian A1 - Wang, Joseph Taoyi A1 - Wattal, Vasudha A1 - Webb, Matthew D. A1 - Weber, Bryan A1 - Weisser, Reinhard A1 - Weng, Wei-Chien A1 - Westheide, Christian A1 - White, Kimberly A1 - Winter, Jacob A1 - Wochner, Timo A1 - Woerman, Matt A1 - Wong, Jared A1 - Woodard, Ritchie A1 - Wroński, Marcin A1 - Yazbeck, Myra A1 - Yang, Gustav Chung A1 - Yap, Luther A1 - Yassin, Kareman A1 - Ye, Hao A1 - Yoon, Jin Young A1 - Yurris, Chris A1 - Zahra, Tahreen A1 - Zaneva, Mirela A1 - Zayat, Aline A1 - Zhang, Jonathan A1 - Zhao, Ziwei A1 - Yaolang, Zhong T1 - Mass reproducibility and replicability BT - a new hope T2 - I4R discussion paper series N2 - This study pushes our understanding of research reliability by reproducing and replicating claims from 110 papers in leading economic and political science journals. The analysis involves computational reproducibility checks and robustness assessments. It reveals several patterns. First, we uncover a high rate of fully computationally reproducible results (over 85%). Second, excluding minor issues like missing packages or broken pathways, we uncover coding errors for about 25% of studies, with some studies containing multiple errors. Third, we test the robustness of the results to 5,511 re-analyses. We find a robustness reproducibility of about 70%. Robustness reproducibility rates are relatively higher for re-analyses that introduce new data and lower for re-analyses that change the sample or the definition of the dependent variable. Fourth, 52% of re-analysis effect size estimates are smaller than the original published estimates and the average statistical significance of a re-analysis is 77% of the original. Lastly, we rely on six teams of researchers working independently to answer eight additional research questions on the determinants of robustness reproducibility. Most teams find a negative relationship between replicators' experience and reproducibility, while finding no relationship between reproducibility and the provision of intermediate or even raw data combined with the necessary cleaning codes. KW - conomics KW - open science KW - political science KW - replication KW - reproduction KW - research transparency Y1 - 2024 SN - 2752-1931 IS - 107 PB - Institute for Replication CY - Essen ER - TY - JOUR A1 - Mueller, Juliane A1 - Martinez-Valdes, Eduardo Andrés A1 - Stoll, Josefine A1 - Mueller, Steffen A1 - Engel, Tilman A1 - Mayer, Frank T1 - Differences in neuromuscular activity of ankle stabilizing muscles during postural disturbances BT - a gender-specific analysis JF - Gait & posture N2 - The purpose was to examine gender differences in ankle stabilizing muscle activation during postural disturbances. Seventeen participants (9 females: 27 +/- 2yrs., 1.69 +/- 0.1 m, 63 +/- 7 kg; 8 males: 29 +/- 2yrs., 1.81 +/- 0.1 m; 83 +/- 7 kg) were included in the study. After familiarization on a split-belt-treadmill, participants walked (1 m/s) while 15 right-sided perturbations were randomly applied 200 ms after initial heel contact. Muscle activity of M. tibialis anterior (TA), peroneus longus (PL) and gastrocnemius medialis (GM) was recorded during unperturbed and perturbed walking. The root mean square (RMS; [%]) was analyzed within 200 ms after perturbation. Co-activation was quantified as ratio of antagonist (GM)/agonist (TA) EMG-RMS during unperturbed and perturbed walking. Time to onset was calculated (ms). Data were analyzed descriptively (mean +/- SD) followed by three-way-ANOVA (gender/condition/muscle; alpha= 0.05). Perturbed walking elicited higher EMG activity compared to normal walking for TA and PL in both genders (p < 0.000). RMS amplitude gender comparisons revealed an interaction between gender and condition (F = 4.6, p = 0.049) and, a triple interaction among gender, condition and muscle (F = 4.7, p = 0.02). Women presented significantly higher EMG-RMS [%] PL amplitude than men during perturbed walking (mean difference = 209.6%, 95% confidence interval = -367.0 to -52.2%, p < 0.000). Co-activation showed significant lower values for perturbed compared to normal walking (p < 0.000), without significant gender differences for both walking conditions. GM activated significantly earlier than TA and PL (p < 0.01) without significant differences between the muscle activation onsets of men and women (p = 0.7). The results reflect that activation strategies of the ankle encompassing muscles differ between genders. In provoked stumbling, higher PL EMG activity in women compared to men is present. Future studies should aim to elucidate if this specific behavior has any relationship with ankle injury occurrence between genders. KW - Lower extremity KW - EMG KW - Perturbation KW - Split-belt treadmill KW - Ankle Y1 - 2018 U6 - https://doi.org/10.1016/j.gaitpost.2018.01.023 SN - 0966-6362 SN - 1879-2219 VL - 61 SP - 226 EP - 231 PB - Elsevier CY - Clare ER - TY - JOUR A1 - Müller, Juliane A1 - Engel, Tilman A1 - Kopinski, Stephan A1 - Mayer, Frank A1 - Müller, Steffen T1 - Neuromuscular trunk activation patterns in back pain patients during one-handed lifting JF - World journal of orthopedics N2 - AIM To analyze neuromuscular activity patterns of the trunk in healthy controls (H) and back pain patients (BPP) during one-handed lifting of light to heavy loads. METHODS RESULTS Seven subjects (3m/4f; 32 +/- 7 years; 171 +/- 7 cm; 65 +/- 11 kg) were assigned to BPP (pain grade >= 2) and 36 (13m/23f; 28 +/- 8 years; 174 +/- 10 cm; 71 +/- 12 kg) to H (pain grade <= 1). H and BPP did not differ significantly in anthropometrics (P > 0.05). All subjects were able to lift the light and middle loads, but 57% of BPP and 22% of H were not able to lift the heavy load (all women) chi(2) analysis revealed statistically significant differences in task failure between H vs BPP (P = 0.03). EMG-RMS ranged from 33% +/- 10%/30% +/- 9% (DL, 1 kg) to 356% +/- 148%/283% +/- 80% (VR, 20 kg) in H/BPP with no statistical difference between groups regardless of load (P > 0.05). However, the EMG-RMS of the VR was greatest in all lifting tasks for both groups and increased with heavier loads. CONCLUSION Heavier loading leads to an increase (2-to 3-fold) in trunk muscle activity with comparable patterns. Heavy loading (20 kg) leads to task failure, especially in women with back pain. KW - Lifting KW - Core KW - Trunk KW - EMG KW - MISPEX Y1 - 2016 U6 - https://doi.org/10.5312/wjo.v8.i2.142 SN - 2218-5836 VL - 8 IS - 2 SP - 142 EP - 148 PB - Baishideng Publishing Group CY - Pleasanton ER - TY - JOUR A1 - Risch, Lucie A1 - Wochatz, Monique A1 - Messerschmidt, Janin A1 - Engel, Tilman A1 - Mayer, Frank A1 - Cassel, Michael T1 - Reliability of evaluating achilles tendon vascularization assessed with doppler ultrasound advanced dynamic flow JF - Journal of ultrasound in medicine N2 - The reliability of quantifying intratendinous vascularization by high-sensitivity Doppler ultrasound advanced dynamic flow has not been examined yet. Therefore, this study aimed to investigate the intraobserver and interobserver reliability of evaluating Achilles tendon vascularization by advanced dynamic flow using established scoring systems. Methods-Three investigators evaluated vascularization in 67 recordings in a test-retest design, applying the Ohberg score, a modified Ohberg score, and a counting score. Intraobserver and interobserver agreement for the Ohberg score and modified Ohberg score was analyzed by the Cohen kappa and Fleiss kappa coefficients (absolute), Kendall tau b coefficient, and Kendall coefficient of concordance (W; relative). The reliability of the counting score was analyzed by intraclass correlation coefficients (ICC) 2.1 and 3.1, the standard error of measurement (SEM), and Bland-Altman analysis (bias and limits of agreement [LoA]). Results-Intraobserver and interobserver agreement (absolute/relative) ranged from 0.61 to 0.87/0.87 to 0.95 and 0.11 to 0.66/0.76 to 0.89 for the Ohberg score and from 0.81 to 0.87/0.92 to 0.95 and 0.64 to 0.80/0.88 to 0.93 for the modified Ohberg score, respectively. The counting score revealed an intraobserver ICC of 0.94 to 0.97 (SEM, 1.0-1.5; bias, -1; and LoA, 3-4 vessels). The interobserver ICC for the counting score ranged from 0.91 to 0.98 (SEM, 1.0-1.9; bias, 0; and LoA, 3-5 vessels). Conclusions-The modified Ohberg score and counting score showed excellent reliability and seem convenient for research and clinical practice. The Ohberg score revealed decent intraobserver but unexpected low interobserver reliability and therefore cannot be recommended. KW - advanced dynamic flow KW - intratendinous blood flow KW - musculoskeletal KW - reliability KW - ultrasound Y1 - 2017 U6 - https://doi.org/10.1002/jum.14414 SN - 0278-4297 SN - 1550-9613 VL - 37 IS - 3 SP - 737 EP - 744 PB - Wiley CY - Hoboken ER - TY - GEN A1 - Kuschel, Luciano Bruno A1 - Sonnenburg, Dominik A1 - Engel, Tilman T1 - Factors of muscle quality and determinants of muscle strength BT - a systematic literature review T2 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe N2 - Muscle quality defined as the ratio of muscle strength to muscle mass disregards underlying factors which influence muscle strength. The aim of this review was to investigate the relationship of phase angle (PhA), echo intensity (EI), muscular adipose tissue (MAT), muscle fiber type, fascicle pennation angle (θf), fascicle length (lf), muscle oxidative capacity, insulin sensitivity (IS), neuromuscular activation, and motor unit to muscle strength. PubMed search was performed in 2021. The inclusion criteria were: (i) original research, (ii) human participants, (iii) adults (≥18 years). Exclusion criteria were: (i) no full-text, (ii) non-English or -German language, (iii) pathologies. Forty-one studies were identified. Nine studies found a weak–moderate negative (range r: [−0.26]–[−0.656], p < 0.05) correlation between muscle strength and EI. Four studies found a weak–moderate positive correlation (range r: 0.177–0.696, p < 0.05) between muscle strength and PhA. Two studies found a moderate-strong negative correlation (range r: [−0.446]–[−0.87], p < 0.05) between muscle strength and MAT. Two studies found a weak-strong positive correlation (range r: 0.28–0.907, p < 0.05) between θf and muscle strength. Muscle oxidative capacity was found to be a predictor of muscle strength. This review highlights that the current definition of muscle quality should be expanded upon as to encompass all possible factors of muscle quality. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 838 KW - muscle quality KW - muscle strength KW - phase angle KW - echo intensity Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-589104 SN - 1866-8364 IS - 838 ER - TY - JOUR A1 - Kuschel, Luciano Bruno A1 - Sonnenburg, Dominik A1 - Engel, Tilman T1 - Factors of muscle quality and determinants of muscle strength BT - a systematic literature review JF - Healthcare N2 - Muscle quality defined as the ratio of muscle strength to muscle mass disregards underlying factors which influence muscle strength. The aim of this review was to investigate the relationship of phase angle (PhA), echo intensity (EI), muscular adipose tissue (MAT), muscle fiber type, fascicle pennation angle (θf), fascicle length (lf), muscle oxidative capacity, insulin sensitivity (IS), neuromuscular activation, and motor unit to muscle strength. PubMed search was performed in 2021. The inclusion criteria were: (i) original research, (ii) human participants, (iii) adults (≥18 years). Exclusion criteria were: (i) no full-text, (ii) non-English or -German language, (iii) pathologies. Forty-one studies were identified. Nine studies found a weak–moderate negative (range r: [−0.26]–[−0.656], p < 0.05) correlation between muscle strength and EI. Four studies found a weak–moderate positive correlation (range r: 0.177–0.696, p < 0.05) between muscle strength and PhA. Two studies found a moderate-strong negative correlation (range r: [−0.446]–[−0.87], p < 0.05) between muscle strength and MAT. Two studies found a weak-strong positive correlation (range r: 0.28–0.907, p < 0.05) between θf and muscle strength. Muscle oxidative capacity was found to be a predictor of muscle strength. This review highlights that the current definition of muscle quality should be expanded upon as to encompass all possible factors of muscle quality. KW - muscle quality KW - muscle strength KW - phase angle KW - echo intensity Y1 - 2022 U6 - https://doi.org/10.3390/healthcare10101937 SN - 2227-9032 VL - 10 PB - MDPI CY - Basel ER - TY - CHAP A1 - Kopinski, Stephan A1 - Engel, Tilman A1 - Cassel, Michael A1 - Carlsohn, Anja A1 - Mayer, Frank T1 - Reliability of ultrasound measurements for subcutaneous adipose tissue in elite canoe athletes T2 - Medicine and science in sports and exercise : official journal of the American College of Sports Medicine Y1 - 2014 SN - 0195-9131 SN - 1530-0315 VL - 46 IS - 5 SP - 539 EP - 539 PB - Lippincott Williams & Wilkins CY - Philadelphia ER - TY - JOUR A1 - Baritello, Omar A1 - Khajooei, Mina A1 - Engel, Tilman A1 - Kopinski, Stephan A1 - Quarmby, Andrew James A1 - Müller, Steffen A1 - Mayer, Frank T1 - Neuromuscular shoulder activity during exercises with different combinations of stable and unstable weight mass JF - BMC sports science, medicine and rehabilitation N2 - Background Recent shoulder injury prevention programs have utilized resistance exercises combined with different forms of instability, with the goal of eliciting functional adaptations and thereby reducing the risk of injury. However, it is still unknown how an unstable weight mass (UWM) affects the muscular activity of the shoulder stabilizers. Aim of the study was to assess neuromuscular activity of dynamic shoulder stabilizers under four conditions of stable and UWM during three shoulder exercises. It was hypothesized that a combined condition of weight with UWM would elicit greater activation due to the increased stabilization demand. Methods Sixteen participants (7 m/9 f) were included in this cross-sectional study and prepared with an EMG-setup for the: Mm. upper/lower trapezius (U.TA/L.TA), lateral deltoid (DE), latissimus dorsi (LD), serratus anterior (SA) and pectoralis major (PE). A maximal voluntary isometric contraction test (MVIC; 5 s.) was performed on an isokinetic dynamometer. Next, internal/external rotation (In/Ex), abduction/adduction (Ab/Ad) and diagonal flexion/extension (F/E) exercises (5 reps.) were performed with four custom-made-pipes representing different exercise conditions. First, the empty-pipe (P; 0.5 kg) and then, randomly ordered, water-filled-pipe (PW; 1 kg), weight-pipe (PG; 4.5 kg) and weight + water-filled-pipe (PWG; 4.5 kg), while EMG was recorded. Raw root-mean-square values (RMS) were normalized to MVIC (%MVIC). Differences between conditions for RMS%MVIC, scapular stabilizer (SR: U.TA/L.TA; U.TA/SA) and contraction (CR: concentric/eccentric) ratios were analyzed (paired t-test; p <= 0.05; Bonferroni adjusted alpha = 0.008). Results PWG showed significantly greater muscle activity for all exercises and all muscles except for PE compared to P and PW. Condition PG elicited muscular activity comparable to PWG (p > 0.008) with significantly lower activation of L.TA and SA in the In/Ex rotation. The SR ratio was significantly higher in PWG compared to P and PW. No significant differences were found for the CR ratio in all exercises and for all muscles. Conclusion Higher weight generated greater muscle activation whereas an UWM raised the neuromuscular activity, increasing the stabilization demands. Especially in the In/Ex rotation, an UWM increased the RMS%MVIC and SR ratio. This might improve training effects in shoulder prevention and rehabilitation programs. KW - EMG KW - instability KW - overhead athlete KW - unstable resistance training KW - water KW - pipe KW - rotator cuff Y1 - 2020 U6 - https://doi.org/10.1186/s13102-020-00168-x SN - 2052-1847 VL - 12 IS - 1 PB - BioMed Central CY - London ER -