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Manon Engels Department of Paediatrics, Radboud Amalia Children’s Hospital, Radboud university medical center, Nijmegen, The Netherlands
Laboratory Medicine, Radboud Institute for Molecular Life Sciences (RIMLS), Radboud university medical center, Nijmegen, The Netherlands

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Paul N Span Radiation Oncology, Radiotherapy and OncoImmunology Laboratory, RIMLS, Radboud university medical center, Nijmegen, The Netherlands

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Rod T Mitchell MRC Centre for Reproductive Health, University of Edinburgh, The Queen’s Medical Research Institute, Edinburgh, UK

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Joop J T M Heuvel Laboratory Medicine, Radboud Institute for Molecular Life Sciences (RIMLS), Radboud university medical center, Nijmegen, The Netherlands

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Monica A Marijnissen-van Zanten Department of Pathology, Radboud university medical center, Nijmegen, The Netherlands

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Antonius E van Herwaarden Laboratory Medicine, Radboud Institute for Molecular Life Sciences (RIMLS), Radboud university medical center, Nijmegen, The Netherlands

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Christina A Hulsbergen-van de Kaa Department of Pathology, Radboud university medical center, Nijmegen, The Netherlands

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Egbert Oosterwijk Department of Urology, Radboud university medical center, Nijmegen, The Netherlands

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Nike M Stikkelbroeck Department of Internal Medicine, Radboud university medical center, Nijmegen, The Netherlands

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Lee B Smith MRC Centre for Reproductive Health, University of Edinburgh, The Queen’s Medical Research Institute, Edinburgh, UK

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Fred C G J Sweep Laboratory Medicine, Radboud Institute for Molecular Life Sciences (RIMLS), Radboud university medical center, Nijmegen, The Netherlands

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Hedi L Claahsen-van der Grinten Department of Paediatrics, Radboud Amalia Children’s Hospital, Radboud university medical center, Nijmegen, The Netherlands

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Testicular adrenal rest tumours (TARTs) are benign adrenal-like testicular tumours that frequently occur in male patients with congenital adrenal hyperplasia. Recently, GATA transcription factors have been linked to the development of TARTs in mice. The aim of our study was to determine GATA expression in human TARTs and other steroidogenic tissues. We determined GATA expression in TARTs (n = 16), Leydig cell tumours (LCTs; n = 7), adrenal (foetal (n = 6) + adult (n = 10)) and testis (foetal (n = 13) + adult (n = 8)). We found testis-like GATA4, and adrenal-like GATA3 and GATA6 gene expressions by qPCR in human TARTs, indicating mixed testicular and adrenal characteristics of TARTs. Currently, no marker is available to discriminate TARTs from LCTs, leading to misdiagnosis and incorrect treatment. GATA3 and GATA6 mRNAs exhibited excellent discriminative power (area under the curve of 0.908 and 0.816, respectively), while immunohistochemistry did not. GATA genes contain several CREB-binding sites and incubation with 0.1 mM dibutyryl cAMP for 4 h stimulated GATA3, GATA4 and GATA6 expressions in a human foetal testis cell line (hs181.tes). Incubation of adrenocortical cells (H295RA) with ACTH, however, did not induce GATA expression in vitro. Although ACTH did not dysregulate GATA expression in the only human ACTH-sensitive in vitro model available, our results do suggest that aberrant expression of GATA transcription factors in human TARTs might be involved in TART formation.

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Franca Genest Clinical Trial Unit, Orthopedic Department, University of Wuerzburg, Wuerzburg, Germany

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Michael Schneider Clinical Trial Unit, Orthopedic Department, University of Wuerzburg, Wuerzburg, Germany

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Andreas Zehnder Clinical Trial Unit, Orthopedic Department, University of Wuerzburg, Wuerzburg, Germany

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Dominik Lieberoth-Leden Clinical Trial Unit, Orthopedic Department, University of Wuerzburg, Wuerzburg, Germany

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Lothar Seefried Clinical Trial Unit, Orthopedic Department, University of Wuerzburg, Wuerzburg, Germany

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Purpose

Aging and concurrent constitutional changes as sarcopenia, osteoporosis and obesity are associated with progressive functional decline. Coincidence and mutual interference of this risk factors require further evaluation.

Methods

Cross-sectional evaluation of musculoskeletal health in a community-dwelling cohort of men aged 65–90 years. Objectives included descriptive analysis of age-related decline in physical performance, prevalence of osteoporosis (FRAX-Score), sarcopenia (EWGSOP criteria) and obesity (BMI > 30 kg/m2) and their coincidence/interference.

Results

Based on 507 participants assessed, aging was associated with progressive functional deterioration, regarding power (chair rise test −1.54% per year), performance (usual gait speed −1.38% per year) and muscle force (grip strength −1.52% per year) while muscle mass declined only marginally (skeletal muscle index −0.29% per year). Prevalence of osteoporosis was 41.8% (n = 212) while only 22.9% (n = 116) of the participants met the criteria for sarcopenia and 23.7% (n = 120) were obese. Osteosarcopenia was found in n = 79 (15.6%), sarcopenic obesity was present in 14 men (2.8%). A combination of all three conditions could be confirmed in n = 8 (1.6%). There was an inverse correlation of BMI with physical performance whereas osteoporosis and sarcopenia did not interfere with functional outcomes.

Conclusion

Based on current definitions, there is considerable overlap in the prevalence of osteoporosis and sarcopenia, while obesity appears to be a distinct problem. Functional decline appears to be associated with obesity rather than osteoporosis or sarcopenia. It remains to be determined to what extend obesity itself causes performance deficits or if obesity is merely an indicator of insufficient activity eventually predisposing to functional decline.

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Till Ittermann Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany

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Rehman Mehmood Khattak Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
Department of Zoology, Islamia College Peshawar (CU), Peshawar, Pakistan

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Marcello R P Markus Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany

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Jens-Peter Kühn Institute of Radiology, University Hospital, Carl-Gustav-Carus University, Dresden, Germany

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Marie-Luise Kromrey Department of Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany

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Giovanni Targher Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Verona, Verona, Italy

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Antje Steveling Department of Internal Medicine A, University Medicine Greifswald, Greifswald, Germany

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Matthias Nauck Institute for Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine, Greifswald, Germany

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Henry Völzke Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany

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were transformed by the Royston–Sauerbrei power transformation ( 17 ), which is a linear transformation of the variables into a range between 0.2 and 1. All regression models were weighted for non-response to liver MRI examination. For this, inverse

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Ozlem Atan Sahin Department of Pediatrics, Acıbadem University School of Medicine, Atasehir, Istanbul, Turkey

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Damla Goksen Department of Pediatric Endocrinology, Faculty of Medicine, Ege University, Bornova, Izmir, Turkey

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Aysel Ozpinar Department of Biochemistry, Acıbadem University, School of Medicine, Atasehir, Istanbul, Turkey

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Muhittin Serdar Department of Biochemistry, Acıbadem University, School of Medicine, Atasehir, Istanbul, Turkey

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Huseyin Onay Department of Medical Genetics, Faculty of Medicine, Ege University, Bornova, Izmir, Turkey

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indicators: Begg–Mazumdar: Kendall’s Tau = −0.142857 P  = 0.5484 (low power); Egger: bias = −1.369742 (95% CI = −6.646958 to 3.907474) P  = 0.5488; Harbord–Egger: bias = −1.179831 (92.5% CI = −5.949539 to 3.589877) P  = 0.6138. DF, degree of freedom

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Lawrence D Hayes Active Ageing Research Group, Department of Medical and Sport Sciences, University of Cumbria, Lancaster, UK

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Peter Herbert School of Sport, Health and Outdoor Education, Trinity Saint David, University of Wales, Carmarthen, UK

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Nicholas F Sculthorpe Institute of Clinical Exercise and Health Science, University of the West of Scotland, Hamilton, UK

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Fergal M Grace Faculty of Health, Federation University, Victoria, Australia

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cardiorespiratory fitness ( 6 ), muscle strength ( 7 ) and muscle power ( 8 ) are also observed. Furthermore, significant correlations between testosterone and measures of physical performance in older adults have been observed ( 9 ). Whilst improvements in

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Gabriella Oliveira Lima Laboratory of Pharmacology and Toxicology of Natural Products, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil

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Alex Luiz Menezes da Silva Laboratory of Pharmacology and Toxicology of Natural Products, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil

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Julianne Elba Cunha Azevedo Laboratory of Pharmacology and Toxicology of Natural Products, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil

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Chirlene Pinheiro Nascimento Laboratory of Pharmacology and Toxicology of Natural Products, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil

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Luana Rodrigues Vieira Laboratory of Pharmacology and Toxicology of Natural Products, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil

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Akira Otake Hamoy Laboratory of Pharmacology and Toxicology of Natural Products, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil

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Luan Oliveira Ferreira Laboratory of Experimental Neuropathology, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil

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Verônica Regina Lobato Oliveira Bahia Multidisciplinary Laboratory of Animal Morphology, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil

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Nilton Akio Muto Amazon Bioactive Compounds Valorization Center, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil

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Dielly Catrina Favacho Lopes Laboratory of Experimental Neuropathology, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil

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Moisés Hamoy Laboratory of Pharmacology and Toxicology of Natural Products, Institute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil

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developed using the PyQt4 library. The spectrograms were calculated using the Hamming window with 256 points (256/1000 s). For power spectral density (PSD), each frame was generated with an overlap of 128 points per window. For each frame, the PSD was

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Stavroula A Paschou Department of Endocrinology and Diabetes, Hellenic Red Cross Hospital, Athens, Greece

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Eleni Palioura Department of Endocrinology and Diabetes, Hellenic Red Cross Hospital, Athens, Greece

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Dimitrios Ioannidis Department of Endocrinology and Diabetes, Sismanoglio-Amalia Fleming Hospital, Athens, Greece

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Panagiotis Anagnostis Unit of Reproductive Endocrinology, First Department of Obstetrics and Gynecology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece

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Argyro Panagiotakou Department of Endocrinology and Diabetes, Sismanoglio-Amalia Fleming Hospital, Athens, Greece

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Vasiliki Loi Department of Endocrinology and Diabetes, Hellenic Red Cross Hospital, Athens, Greece

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Georgios Karageorgos Department of Endocrinology and Diabetes, Sismanoglio-Amalia Fleming Hospital, Athens, Greece

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Dimitrios G Goulis Unit of Reproductive Endocrinology, First Department of Obstetrics and Gynecology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece

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Andromachi Vryonidou Department of Endocrinology and Diabetes, Hellenic Red Cross Hospital, Athens, Greece

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variation of 4.93% and 9.32%, respectively. Statistical analysis The study was powered to detect a 1.0 difference in HOMA-IR index, given a series of assumptions (HOMA-IR in PCOS-AH group: 4.0 ± 2.5; HOMA-IR in PCOS-NAH group: 3.0 ± 2.5; α error

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Jesper Krogh Department of Endocrinology & Metabolism, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark

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Peter Plomgaard Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark

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Ruth Frikke-Schmidt Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark

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Sten Velschow Fluisense ApS, Lillerød, Denmark

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Jesper Johannesen Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
Department of Pediatrics, Copenhagen University Hospital - Herlev & Gentofte, Copenhagen, Denmark

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Linda Maria Hilsted Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark

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Malene Schrøder Fluisense ApS, Lillerød, Denmark

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Ulla Feldt-Rasmussen Department of Endocrinology & Metabolism, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark

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primary outcome of this study, on which the power calculation was based, was the number of successful samplings (DBS) over a 20-h period made by the Fluispotter. A failure was defined as a device which failed to collect 20 samples in a started sampling

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Alexander Tacey Institute for Health and Sport (IHES), Victoria University, Melbourne, Victoria, Australia
Department of Medicine-Western Health, Australian Institute for Musculoskeletal Science (AIMSS), Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia

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Lewan Parker Institute for Health and Sport (IHES), Victoria University, Melbourne, Victoria, Australia
Institute for Physical Activity and Nutrition, Deakin University, Geelong, Victoria, Australia

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Bu B Yeap Medical School, University of Western Australia, and Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Perth, Western Australia, Australia

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John Joseph PathWest Laboratory Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia

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Ee M Lim PathWest Laboratory Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia

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Andrew Garnham Institute for Health and Sport (IHES), Victoria University, Melbourne, Victoria, Australia

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David L Hare University of Melbourne and the Department of Cardiology, Austin Health, Melbourne, Victoria, Australia

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Tara Brennan-Speranza Department of Physiology and Bosch Institute for Medical Research, University of Sydney, Sydney, New South Wales, Australia

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Itamar Levinger Institute for Health and Sport (IHES), Victoria University, Melbourne, Victoria, Australia
Department of Medicine-Western Health, Australian Institute for Musculoskeletal Science (AIMSS), Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia

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as part of a larger, invasive study, and as such, recruitment was difficult ( 18 ). This study was adequately powered to compare changes in blood glucose from baseline to 3 h post exercise, between placebo and prednisolone, P  < 0.05, effect size of

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Lasse Oinonen Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland

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Antti Tikkakoski Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland

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Jenni Koskela Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
Department of Internal Medicine, Tampere University Hospital, Tampere, Finland

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Arttu Eräranta Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland

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Mika Kähönen Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland

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Onni Niemelä Department of Laboratory Medicine and Medical Research Unit, Seinäjoki Central Hospital, Seinäjoki, Finland

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Jukka Mustonen Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
Department of Internal Medicine, Tampere University Hospital, Tampere, Finland

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Ilkka Pörsti Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
Department of Internal Medicine, Tampere University Hospital, Tampere, Finland

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of 200 Hz ( 22 ). The Fast Fourier Transformation was utilised to calculate (i) power in low frequency (LF) range (0.04–0.15 Hz), (ii) power in high frequency (HF) range (0.15–0.40 Hz), and (iii) LF/HF ratio. HF oscillations relate to parasympathetic

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