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Lilit Egshatyan ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Daria Kashtanova ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Anna Popenko ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Olga Tkacheva ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Alexander Tyakht ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Dmitry Alexeev ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Natalia Karamnova ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Elena Kostryukova ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation
‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation
‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Vladislav Babenko ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Maria Vakhitova ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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Sergey Boytsov ‘Research of Age and Age-Associated Conditions’ Department, Laboratory of Bioinformatics, The ‘Russian Clinical Research Center for Gerontology’, ‘Chronic Noncommunicable Diseases Primary Prevention in the Healthcare System’ Department, Moscow Institute of Physics and Technology, National Research Centre for Preventive Medicine, National Research Centre for Preventive Medicine, Building 10, Petroverigskiy Lane, Moscow RF 101000, Russian Federation

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GM composition in association with the dietary patterns in patients with different glucose tolerance. Materials and methods Patients from Moscow and Moscow Region (the Caucasian race) aged from 25 to 75 years old with different glucose tolerance who

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-15-0094
Volume/Issue:
Volume 5: Issue 1
Open access
David Q Pham Western University of Health Sciences, College of Pharmacy, Pomona, California, USA
Mary & Dick Allen Diabetes Center at Hoag Hospital, Newport Beach, California, USA

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Ashley Thorsell Sansum Diabetes Research Institute, Santa Barbara, California, USA

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Kristin Castorino Sansum Diabetes Research Institute, Santa Barbara, California, USA

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Brandon Cobb Sansum Diabetes Research Institute, Santa Barbara, California, USA

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, 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 ). The subanalyses reviewed seven general concepts: (i) are insulin pumps better than MDI in neonatal and maternal outcomes? (ii) were dietary patterns different in the treatment

Article Type:
Review Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0407
Volume/Issue:
Volume 13: Issue 2
Open access
Xinge Tao Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China

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Yanbin Xue Computer Net Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Rui Niu Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China

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Wenjing Lu Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China

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Huayan Yao Computer Net Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Chunmei He Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China

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Bin Cui Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Changqin Liu Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
Xiamen Key Laboratory for Clinical Efficacy and Evidence-Based Research of Traditional Chinese Medicine, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
Fujian Province Key Laboratory of Diabetes Translational Medicine, The First Affiliated Hospital of Xiamen University, School of medicine, Xiamen University, Xiamen, China

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years. For example, Chinese dietary patterns changed from a traditional Asian dietary pattern to a modern Western dietary pattern. This energy-dense dietary structure as well as insufficient physical activities induced the prevalence of obesity among the

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0474
Volume/Issue:
Volume 13: Issue 2
Open access
Liselot Koelman Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
Institute of Nutritional Science, University of Potsdam, Potsdam, Germany

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Robin Reichmann Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany

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Claudia Börnhorst Department of Biometry and Data Management, Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany

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Matthias B Schulze Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
German Center for Diabetes Research (DZD), Neuherberg, Germany

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Cornelia Weikert Department of Food Safety, German Federal Institute for Risk Assessment, Berlin, Germany
Institute for Social Medicine, Epidemiology and Health Economics, Charité University Medical Center, Berlin, Germany

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Ronald Biemann Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany

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Berend Isermann Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany

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Andreas Fritsche Division of Endocrinology, Diabetology, Nephrology, Vascular Disease and Clinical Chemistry, Department of Internal Medicine, University of Tübingen, Tübingen, Germany

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Krasimira Aleksandrova Department of Epidemiological Methods and Etiological Research, Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
Faculty of Human and Health Sciences, University of Bremen, Bremen, Germany

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addition, a few observational studies explored associations between chemerin and dietary patterns ( 13 ), physical activity ( 14 ), and selected health behaviors, that is , smoking and alcohol consumption ( 15 ). So far, large observational studies that

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-21-0273
Volume/Issue:
Volume 10: Issue 9
Open access
Shane M Regnier Committee on Molecular Metabolism and Nutrition, Chicago, Illinois, USA
Pritzker School of Medicine, Chicago, Illinois, USA
University of Chicago, Chicago, Illinois, USA

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Andrew G Kirkley University of Chicago, Chicago, Illinois, USA
Committee on Molecular Pathogenesis and Molecular Medicine, Chicago, Illinois, USA

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Daniel Ruiz Committee on Molecular Metabolism and Nutrition, Chicago, Illinois, USA
University of Chicago, Chicago, Illinois, USA

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Wakanene Kamau University of Chicago, Chicago, Illinois, USA

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Qian Wu Wadsworth Center, New York Department of Health, Albany, New York, USA

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Kurunthachalam Kannan Wadsworth Center, New York Department of Health, Albany, New York, USA

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Robert M Sargis Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA

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Spiegelman D Rifai N Tofler GH Willett WC Hu FB . Association between dietary patterns and plasma biomarkers of obesity and cardiovascular disease risk . American Journal of Clinical Nutrition 2001 73 61 – 67 . 10.1093/ajcn/73.1.61 8 Montonen J

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-17-0320
Volume/Issue:
Volume 7: Issue 1
Open access
Victor Jing-Wei Kang Departments of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan

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Bo-Ching Lee Departments of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan

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Jia-Zheng Huang Departments of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan

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Vin-Cent Wu Departments of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan

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Yen-Hung Lin Departments of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan

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Chin-Chen Chang Departments of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan

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TAIPAI group
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PM Bargagli M Trinchieri A & Gambaro G . Risk of kidney stones: influence of dietary factors, dietary patterns, and vegetarian-vegan diets . Nutrients 2020 12 . ( https://doi.org/10.3390/nu12030779 ) 30 Jones P Karim Sulaiman S Gamage

Article Type:
Research Article
Collections:
Adrenal
DOI:
https://doi.org/10.1530/EC-23-0056
Volume/Issue:
Volume 12: Issue 9
Open access
Michael C Velarde Institute of Biology, College of Science, University of the Philippines Diliman, Quezon, Metro Manila, Philippines

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Mikaela Erlinda M Bucu Department of Obstetrics and Gynecology, College of Medicine, University of the Philippines Manila, Metro Manila, Philippines

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Maria Antonia E Habana Department of Obstetrics and Gynecology, College of Medicine, University of the Philippines Manila, Metro Manila, Philippines

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different dietary patterns than Caucasians. Given the major role of diet in controlling BMI, it is possible that diet may contribute to the disparity in the risk of endometriosis across ethnic groups. Asians generally consume rice and noodles as the main

Article Type:
Review Article
Collections:
Reproduction
DOI:
https://doi.org/10.1530/EC-23-0169
Volume/Issue:
Volume 12: Issue 11
Open access
Robert Maidstone Oxford Centre for Diabetes, Endocrinology and Metabolism, and Oxford Kavli Centre for Nanoscience Discovery, University of Oxford, Oxford, UK
Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK

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Martin K Rutter Centre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester, UK

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Thomas Marjot Oxford Centre for Diabetes, Endocrinology and Metabolism, and Oxford Kavli Centre for Nanoscience Discovery, University of Oxford, Oxford, UK
Oxford Liver Unit, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, UK

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David W Ray Oxford Centre for Diabetes, Endocrinology and Metabolism, and Oxford Kavli Centre for Nanoscience Discovery, University of Oxford, Oxford, UK
NIHR Oxford Health Biomedical Research Centre, and NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK

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Matthew Baxter Oxford Centre for Diabetes, Endocrinology and Metabolism, and Oxford Kavli Centre for Nanoscience Discovery, University of Oxford, Oxford, UK
NIHR Oxford Health Biomedical Research Centre, and NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK

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be noted that interpreting shift work and chronotype data is complex, as related factors such as sleep quality, social jet lag, dietary patterns, and dietary quality are often reported as key factors in determining adverse health associations. Our

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-23-0472
Volume/Issue:
Volume 13: Issue 2
Open access
Yao Su Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Li Chen Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Dong-Yao Zhang Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Xu-Pei Gan Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Yan-Nan Cao Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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De-Cui Cheng Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Wen-Yu Liu Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Fei-Fei Li Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Xian-Ming Xu Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Hong-Kun Wang Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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sensitivity, can be observed after intervention with probiotics ( 23 , 24 , 25 ). In addition, changing the dietary pattern can help regulate the intestinal flora, for example, avoiding a high-fat diet can improve the diversity of intestinal microflora ( 26

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-21-0433
Volume/Issue:
Volume 10: Issue 11
Open access
Mateo Amaya-Montoya School of Medicine, Universidad de los Andes, Bogotá, Colombia

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Daniela Duarte-Montero School of Medicine, Universidad de los Andes, Bogotá, Colombia

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Luz D Nieves-Barreto School of Medicine, Universidad de los Andes, Bogotá, Colombia

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Angélica Montaño-Rodríguez School of Medicine, Universidad de los Andes, Bogotá, Colombia

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Eddy C Betancourt-Villamizar Team Foods, Bogotá, Colombia

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María P Salazar-Ocampo School of Medicine, Universidad de los Andes, Bogotá, Colombia

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Carlos O Mendivil School of Medicine, Universidad de los Andes, Bogotá, Colombia
Fundación Santa Fe de Bogotá, Section of Endocrinology, Bogotá, Colombia

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intake and nutrient density with the sociodemographic factors of interest. Lastly, each of the cities incorporated represents a different cultural and geographic region, leading to the inclusion of distinct dietary patterns and food choices from the

Article Type:
Research Article
Collections:
Vitamin D
DOI:
https://doi.org/10.1530/EC-21-0341
Volume/Issue:
Volume 10: Issue 12
Open access