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Katarzyna Wyskida Health Promotion and Obesity Management Unit, Department of Pathophysiology, Medical Faculty of Silesia in Katowice, Medical University of Silesia, Katowice, Poland

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Grzegorz Franik Department of Gynecological Endocrinology, Medical Faculty of Silesia in Katowice, Medical University of Silesia, Katowice, Poland

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Tomasz Wikarek Department of Gynecology, Medical Faculty of Silesia in Katowice, Medical University of Silesia, Katowice, Poland

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Aleksander Owczarek Department of Statistics, School of Pharmacy with the Division of Laboratory Medicine in Sosnowiec, Medical University of Silesia, Katowice, Poland

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Alham Delroba Health Promotion and Obesity Management Unit, Department of Pathophysiology, Medical Faculty of Silesia in Katowice, Medical University of Silesia, Katowice, Poland

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Jerzy Chudek Pathophysiology Unit, Department of Pathophysiology, Medical Faculty of Silesia in Katowice, Medical University of Silesia, Katowice, Poland

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Jerzy Sikora Department of Perinatology and Gynecology, Medical University of Silesia, Katowice, Poland

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Magdalena Olszanecka-Glinianowicz Health Promotion and Obesity Management Unit, Department of Pathophysiology, Medical Faculty of Silesia in Katowice, Medical University of Silesia, Katowice, Poland

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) 12.7 ± 0.9 Menstrual cycle duration (days) 28.6 ± 2.1 Anthropometric measurements (body mass, height and waist circumference) were performed and BMI was calculated according to the standard formula. Body composition was assessed by

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-17-0186
Volume/Issue:
Volume 6: Issue 8
Open access
Anna C Simcocks Institute for Health and Sport, Victoria University, St Albans campus, Melbourne, Victoria, Australia

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Kayte A Jenkin Institute for Health and Sport, Victoria University, St Albans campus, Melbourne, Victoria, Australia
School of Science and Health, Western Sydney University, Campbelltown, New South Wales, Australia

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Lannie O’Keefe Institute for Health and Sport, Victoria University, St Albans campus, Melbourne, Victoria, Australia

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Chrishan S Samuel Cardiovascular Disease Program, Biomedicine Discovery Institute and Department of Pharmacology, Monash University, Clayton, Victoria, Australia

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Michael L Mathai Institute for Health and Sport, Victoria University, St Albans campus, Melbourne, Victoria, Australia
The Florey Institute of Neuroscience and Mental Health, Parkville, Melbourne, Victoria, Australia

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Andrew J McAinch Institute for Health and Sport, Victoria University, St Albans campus, Melbourne, Victoria, Australia
Australian Institute for Musculoskeletal Science (AIMSS), College of Health and Biomedicine, Victoria University, Melbourne, Victoria, Australia

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Deanne H Hryciw Institute for Health and Sport, Victoria University, St Albans campus, Melbourne, Victoria, Australia
School of Environment and Sciences, Griffith University, Nathan, Queensland, Australia

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effects that treatment with either O-1602 or O-1918 had in a diet-induced obese (DIO) rat model. Specifically, the objective of the study was to examine the effects of O-1602 and O-1918 on body weight, food consumption, body composition, organ weights

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-18-0535
Volume/Issue:
Volume 8: Issue 3
Open access
Xiuzhen Zhang Department of Endocrinology and Metabolism, Shenzhen People’s hospital, The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China

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Dan Xu Department of Endocrinology and Metabolism, Shenzhen People’s hospital, The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China

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Ping Xu Department of Endocrinology and Metabolism, Shenzhen People’s hospital, The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China

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Shufen Yang Department of Endocrinology and Metabolism, Shenzhen People’s hospital, The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China

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Qingmei Zhang Department of Endocrinology and Metabolism, Shenzhen People’s hospital, The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China

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Yan Wu Department of Endocrinology and Metabolism, Shenzhen People’s hospital, The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China

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Fengyi Yuan Department of Endocrinology and Metabolism, Shenzhen People’s hospital, The Second Clinical Medical College, Jinan University, Shenzhen, Guangdong, China

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; HbA1c, glycated hemoglobin A1c. Effect of metformin on insulin requirement and markers of body composition Significant reduction in daily insulin dose per body weight (–0.02 ± 0.01 U/kg of body weight vs 0.00 ± 0.02 U/kg of body weight

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-21-0146
Volume/Issue:
Volume 10: Issue 9
Open access
Karolien Van De Maele Division of Pediatric Endocrinology, KidZ Health Castle, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium

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Jean De Schepper Division of Pediatric Endocrinology, KidZ Health Castle, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium

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Jesse Vanbesien Division of Pediatric Endocrinology, KidZ Health Castle, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium

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Monique Van Helvoirt Zeepreventorium, De Haan, Belgium

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Ann De Guchtenaere Zeepreventorium, De Haan, Belgium

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Inge Gies Division of Pediatric Endocrinology, KidZ Health Castle, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium

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−0.02) 0.13 Change in body fat percentage −11.25 (−38.2 to 0.5) −14.9 (−30.9 to −2.6) 0.10 Data are expressed as median and range. Changes in body composition and serum 25-OH vitamin D levels Median decrease

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-19-0364
Volume/Issue:
Volume 8: Issue 11
Open access
Lars Peter Sørensen
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Tina Parkner Department of Endocrinology and Internal Medicine, Department of Clinical Biochemistry, Department of Biostatistics, Department of Clinical Biochemistry, Aarhus University Hospital, Nørrebrogade 44, 8000 Aarhus C, Denmark

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Esben Søndergaard
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Bo Martin Bibby Department of Endocrinology and Internal Medicine, Department of Clinical Biochemistry, Department of Biostatistics, Department of Clinical Biochemistry, Aarhus University Hospital, Nørrebrogade 44, 8000 Aarhus C, Denmark

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Holger Jon Møller Department of Endocrinology and Internal Medicine, Department of Clinical Biochemistry, Department of Biostatistics, Department of Clinical Biochemistry, Aarhus University Hospital, Nørrebrogade 44, 8000 Aarhus C, Denmark

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Søren Nielsen
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blood samples were drawn for screening purposes. One week before the study day, included participants visited again. Dual X-ray absorptiometry (DXA) scan and abdominal CT scan were performed to determine body composition and regional fat distribution

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-14-0107
Volume/Issue:
Volume 4: Issue 1
Open access
Signe Frøssing Department of Internal Medicine, Center of Endocrinology and Metabolism, Herlev Gentofte Hospital, Copenhagen, Denmark
Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark

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Malin Nylander Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark
Department of Obstetrics & Gynecology, Herlev Gentofte Hospital, Copenhagen, Denmark

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Caroline Kistorp Department of Internal Medicine, Center of Endocrinology and Metabolism, Herlev Gentofte Hospital, Copenhagen, Denmark
Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark

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Sven O Skouby Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark
Department of Obstetrics & Gynecology, Herlev Gentofte Hospital, Copenhagen, Denmark

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Jens Faber Department of Internal Medicine, Center of Endocrinology and Metabolism, Herlev Gentofte Hospital, Copenhagen, Denmark
Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark

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chemiluminescence immunometric assay, inter-assay CV 7%. Hemoglobin A1c (HbA1c) and fasting lipids were measured by routine methods. DXA whole beam fan scan (Hologic Discovery, Bedford, USA) was performed for whole body composition. MRI scans were performed on an

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-17-0327
Volume/Issue:
Volume 7: Issue 1
Open access
Kaisu Luiro Department of Obstetrics and Gynecology, Reproductive Medicine Unit, Helsinki University Hospital and University of Helsinki, Helsinki, Finland

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Kristiina Aittomäki Department of Medical Genetics, Helsinki University Hospital, Helsinki, Finland

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Pekka Jousilahti Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland

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Juha S Tapanainen Department of Obstetrics and Gynecology, Reproductive Medicine Unit, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
Department of Obstetrics and Gynecology, University of Oulu and Oulu University Hospital, Medical Research Center, PEDEGO Research Unit, Oulu, Finland

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.136). Data points for the control group represent the mean of all age-matched controls for each FSHRO subject from the FINRISK Study. Box indicates mean, bar indicates ± s.d . DXA DXA with whole-body composition analysis was performed. The

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-19-0244
Volume/Issue:
Volume 8: Issue 10
Open access
Mardia López-Alarcón Unidad de Investigación Médica en Nutrición, Hospital de Pediatría, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, México, Mexico

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Jessie N Zurita-Cruz Unidad de Investigación Médica en Nutrición, Hospital de Pediatría, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, México, Mexico

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Alonso Torres-Rodríguez Escuela Española de Desarrollo Transpersonal, Madrid, España

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Karla Bedia-Mejía Unidad de Investigación Médica en Nutrición, Hospital de Pediatría, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, México, Mexico

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Manuel Pérez-Güemez Unidad de Investigación Médica en Nutrición, Hospital de Pediatría, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, México, Mexico

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Leonel Jaramillo-Villanueva Departamento de Psiquiatría, Hospital de Pediatría, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, México, Mexico

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Mario E Rendón-Macías Universidad Panamericana, Facultad de Ciencias de la Salud, Escuela de Medicina, México, Mexico

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Jose R Fernández Departments of Nutrition Sciences and Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA

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Patricia Martínez-Maroñas Escuela Española de Desarrollo Transpersonal, Madrid, España

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sample size. After being assigned to a group, children were asked to attend the Research Unit at 07:00 h after 8–10 h of fasting to determine weight, height and body composition (percentage body fat), and to take blood samples to measure serum insulin

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-19-0461
Volume/Issue:
Volume 9: Issue 2
Open access
Jan Roar Mellembakken Division of Gynecology and Obstetrics, Department of Reproductive Medicine, Oslo University Hospital, Oslo, Norway

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Azita Mahmoudan Division of Gynecology and Obstetrics, Department of Reproductive Medicine, Oslo University Hospital, Oslo, Norway

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Lars Mørkrid Department of Medical Biochemistry, Oslo University Hospital, Rikshospitalet, Oslo, Norway

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Inger Sundström-Poromaa Department of Women’s and Children’s Health, Uppsala University, Uppsala, Sweden

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Laure Morin-Papunen Department of Obstetrics and Gynecology, University Hospital of Oulu, University of Oulu, Medical Research Centre Oulu and PEDEGO Research Unit, Oulu, Finland

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Juha S Tapanainen Department of Obstetrics and Gynecology, University Hospital of Oulu, University of Oulu, Medical Research Centre Oulu and PEDEGO Research Unit, Oulu, Finland
Department of Obstetrics and Gynecology, Helsinki University Hospital and University of Helsinki, Helsinki, Uusimaa, Finland

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Terhi T Piltonen Department of Obstetrics and Gynecology, University Hospital of Oulu, University of Oulu, Medical Research Centre Oulu and PEDEGO Research Unit, Oulu, Finland

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Angelica Lindén Hirschberg Department of Women’s and Children’s Health, Karolinska Institutet and Department of Gynecology and Reproductive Medicine, Stockholm, Sweden

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Elisabet Stener-Victorin Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden

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Eszter Vanky Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, UK
Department of Gynecology and Obstetrics, St. Olav’s Hospital, Trondheim, Norway

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Pernille Ravn Department of Gynecology and Obstetrics, Odense University Hospital, Odense, Denmark

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Richard Christian Jensen Department of Endocrinology, Odense University Hospital, Odense, Denmark

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Marianne Skovsager Andersen Department of Endocrinology, Odense University Hospital, Odense, Denmark

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Dorte Glintborg Department of Endocrinology, Odense University Hospital, Odense, Denmark

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Objective

Obesity is considered to be the strongest predictive factor for cardio-metabolic risk in women with polycystic ovary syndrome (PCOS). The aim of the study was to compare blood pressure (BP) in normal weight women with PCOS and controls matched for age and BMI.

Methods

From a Nordic cross-sectional base of 2615 individuals of Nordic ethnicity, we studied a sub cohort of 793 normal weight women with BMI < 25 kg/m2 (512 women with PCOS according to Rotterdam criteria and 281 age and BMI-matched controls). Participants underwent measurement of BP and body composition (BMI, waist-hip ratio), lipid status, and fasting BG. Data were presented as median (quartiles).

Results

The median age for women with PCOS were 28 (25, 32) years and median BMI was 22.2 (20.7, 23.4) kg/m2. Systolic BP was 118 (109, 128) mmHg in women with PCOS compared to 110 (105, 120) mmHg in controls and diastolic BP was 74 (67, 81) vs 70 (64, 75) mmHg, both P < 0.001. The prevalence of women with BP ≥ 140/90 mmHg was 11.1% (57/512) in women with PCOS vs 1.8% (5/281) in controls, P < 0.001. In women ≥ 35 years the prevalence of BP ≥ 140/90 mmHg was comparable in women with PCOS and controls (12.7% vs 9.8%, P = 0.6). Using multiple regression analyses, the strongest association with BP was found for age, waist circumference, and total cholesterol in women with PCOS.

Conclusions

Normal weight women with PCOS have higher BP than controls. BP and metabolic screening are relevant also in young normal weight women with PCOS.

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-20-0527
Volume/Issue:
Volume 10: Issue 2
Open access
Kristin Ottarsdottir Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden

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Anna G Nilsson Department of Internal Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
Department of Endocrinology, Sahlgrenska University Hospital, Gothenburg, Sweden

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Margareta Hellgren Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden

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Ulf Lindblad Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden

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Bledar Daka Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden

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muscle and adipose tissue, thereby improving glucose metabolism ( 32 , 33 , 34 ). The presence of this pathway indicates an effect of testosterone on insulin resistance that is independent from body composition. Furthermore, there is evidence that

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-18-0480
Volume/Issue:
Volume 7: Issue 12
Open access