Search for other papers by M Ahmid in
Google Scholar
PubMed
Search for other papers by C G Perry in
Google Scholar
PubMed
Search for other papers by S F Ahmed in
Google Scholar
PubMed
Search for other papers by M G Shaikh in
Google Scholar
PubMed
( 14 ). Table 1 Summary of cross-sectional studies, non-interventional observational studies of the effects of GHD adolescents with CO-GHD. Reference N MPHD/IGHD Design Age (years) Tool Groups TB LS Body composition
Search for other papers by Kristin Godang in
Google Scholar
PubMed
Search for other papers by Karolina Lundstam in
Google Scholar
PubMed
Search for other papers by Charlotte Mollerup in
Google Scholar
PubMed
Search for other papers by Stine Lyngvi Fougner in
Google Scholar
PubMed
Search for other papers by Ylva Pernow in
Google Scholar
PubMed
Search for other papers by Jörgen Nordenström in
Google Scholar
PubMed
Search for other papers by Thord Rosén in
Google Scholar
PubMed
Search for other papers by Svante Jansson in
Google Scholar
PubMed
Search for other papers by Mikael Hellström in
Google Scholar
PubMed
Faculty of Medicine, University of Oslo, Oslo, Norway
Search for other papers by Jens Bollerslev in
Google Scholar
PubMed
Faculty of Medicine, University of Oslo, Oslo, Norway
Search for other papers by Ansgar Heck in
Google Scholar
PubMed
Search for other papers by the SIPH Study Group in
Google Scholar
PubMed
composition and insulin resistance may emerge long time also in mild disease. To our knowledge, there are no data assessing the long-term effect of surgery on body mass and fat distribution in mild PHPT. Longitudinal assessment of body composition with dual
Search for other papers by Behnaz Abiri in
Google Scholar
PubMed
Search for other papers by Majid Valizadeh in
Google Scholar
PubMed
Search for other papers by Amirhossein Ramezani Ahmadi in
Google Scholar
PubMed
Search for other papers by Shirin Amini in
Google Scholar
PubMed
Search for other papers by Mohammad Nikoohemmat in
Google Scholar
PubMed
Search for other papers by Faeze Abbaspour in
Google Scholar
PubMed
Search for other papers by Farhad Hosseinpanah in
Google Scholar
PubMed
-specific chemiluminescence immunoassay/and PTH assessed by a highly specific solid-phase, two-site chemiluminescent enzyme-labeled immunometric assay Normal: 25(OH)D ≥30 ng/mL, Insufficiency: 20–29 ng/mL, deficiency: < 20 ng/mL. BMI, body composition, WC, WHR
Search for other papers by Lawrence D Hayes in
Google Scholar
PubMed
Search for other papers by Peter Herbert in
Google Scholar
PubMed
Search for other papers by Nicholas F Sculthorpe in
Google Scholar
PubMed
Search for other papers by Fergal M Grace in
Google Scholar
PubMed
trained older males compared to controls ( 12 ), this is not always the case ( 13 ). For example, experimental data from our laboratory suggest masters athletes exhibit improved peak oxygen uptake, body composition and endothelial function compared with
Search for other papers by Mark R Postma in
Google Scholar
PubMed
Search for other papers by Pia Burman in
Google Scholar
PubMed
Search for other papers by André P van Beek in
Google Scholar
PubMed
. It therefore usually occurs in the context of additional features of hypopituitarism, compounding the clinical picture attributable to AGHD ( 2 , 3 ). Available evidence shows benefit of GH replacement therapy (GHRT) on body composition, exercise
Postgraduate Program in Nutritional Sciences, Department of Nutrition, Center for Health Sciences, Federal University of Paraíba, João Pessoa, Paraíba, Brazil
University Centre of João Pessoa (UNIPE), João Pessoa, Paraíba, Brazil
Search for other papers by Fabyan Esberard de Lima Beltrão in
Google Scholar
PubMed
Postgraduate Program in Cognitive Neuroscience and Behavior, Center for Health Sciences, Federal University of Paraíba, João Pessoa, Paraíba, Brazil
Search for other papers by Daniele Carvalhal de Almeida Beltrão in
Google Scholar
PubMed
Search for other papers by Giulia Carvalhal in
Google Scholar
PubMed
Search for other papers by Fabyo Napoleão de Lima Beltrão in
Google Scholar
PubMed
Search for other papers by Igor Motta de Aquino in
Google Scholar
PubMed
Search for other papers by Thaíse da Silva Brito in
Google Scholar
PubMed
Search for other papers by Barbara Costa Paulino in
Google Scholar
PubMed
Search for other papers by Elisa Aires in
Google Scholar
PubMed
Search for other papers by Diana Viegas in
Google Scholar
PubMed
Search for other papers by Fabio Hecht in
Google Scholar
PubMed
Search for other papers by Bruno Halpern in
Google Scholar
PubMed
Search for other papers by Liana Clebia De Morais Pordeus in
Google Scholar
PubMed
Search for other papers by Maria da Conceição Rodrigues Gonçalves in
Google Scholar
PubMed
Department of Biorregulation, Health Sciences Institute, Federal University of Bahia, Bahia, Brazil
Postgraduate Program in Medicine and Health, Medical School of Medicine, Federal University of Bahia, Salvador, Bahia, Brazil
Search for other papers by Helton Estrela Ramos in
Google Scholar
PubMed
composition (the percentage of fat and fat-free mass) are risk factors considered more accurate than BMI to assess cardiometabolic risk ( 6 , 7 ); indeed, there is evidence that differences in both body composition and fat distribution lead to different COVID
Department of Diabetes and Endocrinology, Blacktown Hospital, Blacktown, New South Wales, Australia
Department of Diabetes and Endocrinology, Westmead Hospital, Westmead, New South Wales, Australia
Search for other papers by Teresa Lam in
Google Scholar
PubMed
Department of Diabetes and Endocrinology, Blacktown Hospital, Blacktown, New South Wales, Australia
Search for other papers by Mark McLean in
Google Scholar
PubMed
Crown Princess Mary Cancer Centre, Westmead Hospital, Westmead, New South Wales, Australia
Search for other papers by Amy Hayden in
Google Scholar
PubMed
Search for other papers by Anne Poljak in
Google Scholar
PubMed
Search for other papers by Birinder Cheema in
Google Scholar
PubMed
Search for other papers by Howard Gurney in
Google Scholar
PubMed
Search for other papers by Glenn Stone in
Google Scholar
PubMed
Search for other papers by Neha Bahl in
Google Scholar
PubMed
Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
Search for other papers by Navneeta Reddy in
Google Scholar
PubMed
Department of Diabetes and Endocrinology, Blacktown Hospital, Blacktown, New South Wales, Australia
School of Medicine, UNSW Sydney, Sydney, New South Wales, Australia
Translational Health Research Institute, Penrith, New South Wales, Australia
Search for other papers by Haleh Shahidipour in
Google Scholar
PubMed
Department of Diabetes and Endocrinology, Blacktown Hospital, Blacktown, New South Wales, Australia
Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
School of Medicine, UNSW Sydney, Sydney, New South Wales, Australia
Translational Health Research Institute, Penrith, New South Wales, Australia
Search for other papers by Vita Birzniece in
Google Scholar
PubMed
maintaining muscle mass and function, bone mass and body composition ( 2 ), and its gradual decline with aging plays an important role in the development of sarcopenia ( 1 , 3 ). Testosterone levels begin to decrease from the third decade of life, with the
Search for other papers by Franca Genest in
Google Scholar
PubMed
Search for other papers by Michael Schneider in
Google Scholar
PubMed
Search for other papers by Andreas Zehnder in
Google Scholar
PubMed
Search for other papers by Dominik Lieberoth-Leden in
Google Scholar
PubMed
Search for other papers by Lothar Seefried in
Google Scholar
PubMed
not included in this calculation. Cut-off for osteoporosis was defined as a risk for sustaining a major osteoporotic fracture (MOF) ≥ 20% or an osteoporotic hip fracture (HOF) ≥ 3% ( 27 , 28 ). Body composition Evaluation of body composition
Search for other papers by Nicolai Preisler in
Google Scholar
PubMed
Search for other papers by Pascal Laforêt in
Google Scholar
PubMed
Search for other papers by Karen Lindhardt Madsen in
Google Scholar
PubMed
Search for other papers by Edith Husu in
Google Scholar
PubMed
Search for other papers by Christoffer Rasmus Vissing in
Google Scholar
PubMed
Search for other papers by Gitte Hedermann in
Google Scholar
PubMed
Search for other papers by Henrik Galbo in
Google Scholar
PubMed
Search for other papers by Christopher Lindberg in
Google Scholar
PubMed
Search for other papers by John Vissing in
Google Scholar
PubMed
during exercise, and we measured body composition with dual X-ray absorptiometry (DEXA) scanning, to determine the lean body mass. Materials and methods Subjects We included 7 patients older than 18 years with genetically and biochemically
Search for other papers by A C Paepegaey in
Google Scholar
PubMed
Search for other papers by M Coupaye in
Google Scholar
PubMed
Search for other papers by A Jaziri in
Google Scholar
PubMed
Search for other papers by F Ménesguen in
Google Scholar
PubMed
Search for other papers by B Dubern in
Google Scholar
PubMed
Search for other papers by M Polak in
Google Scholar
PubMed
Search for other papers by J M Oppert in
Google Scholar
PubMed
Search for other papers by M Tauber in
Google Scholar
PubMed
Search for other papers by G Pinto in
Google Scholar
PubMed
INSERM, UMRS 1166, Nutriomic Group 6, Paris, France
Sorbonne Université, UMRS1166, Paris, France
Search for other papers by C Poitou in
Google Scholar
PubMed
regression analyses were used to assess the independent associations of BMI, body composition and psychiatric treatments with transition status, adjusting for current age, age at first multidisciplinary assessment, gender, genotype, age at genetic diagnosis