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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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Maria Luisa Brandi Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy
Fondazione Italiana Ricerca sulle Malattie dell’Osso (FIRMO Onlus), Florence, Italy

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Stefania Bandinelli Geriatric Unit, Azienda Sanitaria Toscana Centro, Florence, Italy

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Teresa Iantomasi Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy

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Francesca Giusti Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy

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Eleonora Talluri Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy

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Giovanna Sini Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy

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Fabrizio Nannipieri Clinical Research, Abiogen Pharma, Pisa, Italy

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Santina Battaglia Clinical Research, Abiogen Pharma, Pisa, Italy

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Riccardo Giusti Clinical Research, Abiogen Pharma, Pisa, Italy

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Colin Gerard Egan CE Medical Writing SRLS, Pisa, Italy

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Luigi Ferrucci Longitudinal Study Section, Translation Gerontology Branch, National Institute on Aging, Baltimore, Maryland, USA

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characteristic curve (ROC) analysis (expressed as area under the curve; AUC, odds ratio (OR) and respective 95% CIs) was used to assess the predictive power of BPA levels to identify individuals having deficient levels of 25(OH)D (i.e. <20 ng/mL) ( 21 ). A P

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Keiko Ohkuwa Department of Surgery, Ito Hospital, Tokyo, Japan

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Kiminori Sugino Department of Surgery, Ito Hospital, Tokyo, Japan

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Ryohei Katoh Department of Pathology, Ito Hospital, Tokyo, Japan

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Mitsuji Nagahama Department of Surgery, Ito Hospital, Tokyo, Japan

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Wataru Kitagawa Department of Surgery, Ito Hospital, Tokyo, Japan

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Kenichi Matsuzu Department of Surgery, Ito Hospital, Tokyo, Japan

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Akifumi Suzuki Department of Surgery, Ito Hospital, Tokyo, Japan

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Chisato Tomoda Department of Surgery, Ito Hospital, Tokyo, Japan

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Kiyomi Hames Department of Surgery, Ito Hospital, Tokyo, Japan

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Junko Akaishi Department of Surgery, Ito Hospital, Tokyo, Japan

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Chie Masaki Department of Surgery, Ito Hospital, Tokyo, Japan

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Kana Yoshioka Department of Surgery, Ito Hospital, Tokyo, Japan

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Koichi Ito Department of Surgery, Ito Hospital, Tokyo, Japan

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-risk group (0 factors), an intermediate-risk group (1 factor), and a high-risk group (2 factors) ( Table 4 ). The combination of long diameter of tumors and LMR showed that the predictive power for cancer was higher in the high-risk group with two factors

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Jiaxin Zhang Department of Traditional Chinese Medicine (TCM) Orthopedics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China

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Jinlan Jiang Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang, China

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Yao Qin School of Public Health, Hangzhou Medical College, Hangzhou, Zhejiang, China

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Yihui Zhang Department of Traditional Chinese Medicine (TCM) Orthopedics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China

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Yungang Wu Department of Traditional Chinese Medicine (TCM) Orthopedics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China

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Huadong Xu School of Public Health, Hangzhou Medical College, Hangzhou, Zhejiang, China

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that there is relatively low discriminatory power for SII in osteoporosis diagnosis (all AUCs less than 0.7). The results of ROC curves suggested that the efficacy of the SII indicator alone in discriminating subjects with osteoporosis was not high

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Qian Wang Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Jiacheng Wang Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Yunhui Xin Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Ziyang He Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Xiang Zhou Department of Pathology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Xing Liu Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Teng Zhao Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Lihan He Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Hong Shen Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Mulan Jin Department of Pathology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Bojun Wei Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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used to assess the diagnostic efficiency of PC Laboratory parameters that were significantly different between the patients with PC and patients with PA were further used to assess the diagnostic power of PC by these parameters alone and combined with

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Huda M Elsharkasi Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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Suet C Chen Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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Lewis Steell Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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Shuko Joseph Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK
Paediatric Neurosciences Research Group, Royal Hospital for Children, NHS Greater Glasgow & Clyde, Glasgow, UK

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Naiemh Abdalrahaman Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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Christie McComb Department of Clinical Physics, NHS Greater Glasgow & Clyde, Glasgow, UK

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Blair Johnston Department of Clinical Physics, NHS Greater Glasgow & Clyde, Glasgow, UK

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John Foster Department of Clinical Physics, NHS Greater Glasgow & Clyde, Glasgow, UK

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Sze Choong Wong Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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S Faisal Ahmed Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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69 – 73 . ( https://doi.org/10.1016/s8756-3282(9900104-0 ) 48 Witzke KA Snow CM . Lean body mass and leg power best predict bone mineral density in adolescent girls . Medicine and Science in Sports and Exercise 1999 31 1558 – 1563 . ( https

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Fabienne A U Fox Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany

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Lennart Koch Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
University for Health Sciences, Medical Informatics and Technology (UMIT TIROL), Tirol, Austria

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Monique M B Breteler Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany

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N Ahmad Aziz Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
Department of Neurology, Faculty of Medicine, University of Bonn, Bonn, Germany

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Rabenda V Gillain S Cavalier E Slomian J Petermans J Reginster JY & Bruyère O . The effects of vitamin D on skeletal muscle strength, muscle mass, and muscle power: a systematic review and meta-analysis of randomized controlled trials

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Laurent Maïmoun Département de Médecine Nucléaire, Hôpital Lapeyronie, Centre Hospitalier Régional Universitaire (CHU) Montpellier, Montpellier, France
PhyMedExp, Université de Montpellier, INSERM, CNRS, Montpellier, France

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Denis Mariano-Goulart Département de Médecine Nucléaire, Hôpital Lapeyronie, Centre Hospitalier Régional Universitaire (CHU) Montpellier, Montpellier, France
PhyMedExp, Université de Montpellier, INSERM, CNRS, Montpellier, France

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Helena Huguet Unité de Recherche Clinique et Epidémiologie, Hôpital Lapeyronie, CHU Montpellier, Montpellier, France

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Eric Renard Departement d’Endocrinologie, Diabète, Nutrition, Hôpital Lapeyronie, CHRU Montpellier, Montpellier, France
CIC INSERM 1411, Hôpital Gui de Chauliac, CHU Montpellier, Montpellier Cedex 5, France
Institut de Génomique Fonctionnelle, CNRS UMR 5203/INSERM U661/Université Montpellier, Montpellier, France

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Patrick Lefebvre Departement d’Endocrinologie, Diabète, Nutrition, Hôpital Lapeyronie, CHRU Montpellier, Montpellier, France

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Marie-Christine Picot Unité de Recherche Clinique et Epidémiologie, Hôpital Lapeyronie, CHU Montpellier, Montpellier, France
CIC INSERM 1411, Hôpital Gui de Chauliac, CHU Montpellier, Montpellier Cedex 5, France

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Anne-Marie Dupuy Département de Biochimie, Hôpital Lapeyronie, CHU Montpellier, Montpellier, France

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Jean-Paul Cristol PhyMedExp, Université de Montpellier, INSERM, CNRS, Montpellier, France
Département de Biochimie, Hôpital Lapeyronie, CHU Montpellier, Montpellier, France

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Philippe Courtet Institut de Génomique Fonctionnelle, CNRS, INSERM Université Montpellier, Montpellier, France
Département d’Urgence et Post-Urgence Psychiatrique, Hôpital Lapeyronie, CHU Montpellier, Montpellier, France

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Vincent Boudousq Département de Médecine Nucléaire, Hôpital Carémeau, CHU Nîmes, Nîmes, France

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Antoine Avignon Département Endocrinologie, Nutrition, Diabète, Equipe Nutrition, Diabète, CHU Montpellier, Montpellier, France

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Sébastien Guillaume Institut de Génomique Fonctionnelle, CNRS, INSERM Université Montpellier, Montpellier, France
Département d’Urgence et Post-Urgence Psychiatrique, Hôpital Lapeyronie, CHU Montpellier, Montpellier, France

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Ariane Sultan PhyMedExp, Université de Montpellier, INSERM, CNRS, Montpellier, France
Département Endocrinologie, Nutrition, Diabète, Equipe Nutrition, Diabète, CHU Montpellier, Montpellier, France

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: resting energy requirements and the body cell mass . American Journal of Clinical Nutrition 1984 40 168 – 182 . ( https://doi.org/10.1093/ajcn/40.1.168 ) 47 Cohen J Statistical Power Analysis for the Behavioral Sciences , p. 567. New York

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Marcela Moraes Mendes Department of Nutrition, Faculty of Health Sciences, University of Brasília, Distrito Federal, Brazil
Department of Nutrition, Institute of Life Sciences, Federal University of Juiz de Fora, Governador Valadares, Minas Gerais, Brazil
Department of Nutrition, Faculty of Health and Medical Sciences, University of Surrey, University of Surrey, Guildford, UK

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Patricia Borges Botelho Department of Nutrition, Faculty of Health Sciences, University of Brasília, Distrito Federal, Brazil

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Helena Ribeiro Department of Environmental Health, Faculty of Public Health, University of São Paulo, São Paulo, Brazil

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sample size with insufficient statistical power, different doses of vitamin D, dosing regimens (daily or monthly), duration of treatment (most were less than 1 year), and poor compliance. Furthermore, interpretation of the results might be influenced by

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Róża Aleksandrowicz Department of Prophylaxis of Metabolic Diseases, Bialystok, Institute of Animal Reproduction and Food Research, Polish Academy of Sciences, Olsztyn, Poland

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Marek Strączkowski Department of Prophylaxis of Metabolic Diseases, Bialystok, Institute of Animal Reproduction and Food Research, Polish Academy of Sciences, Olsztyn, Poland

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transmission between muscle fibers. Disturbance of its structure and function will destroy the lateral transmission, leading to power instability and increasing the sensitivity of muscle fibers to contraction damage ( 9 ). In addition, this complex is a

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