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1. Full Text Body mass and atrial fibrillation risk: Status of the epidemiology concerning the influence of fat versus lean body mass
by Fenger-Grøn, Morten and Vinter, Nicklas and Frost, Lars
Trends in cardiovascular medicine, ISSN 1050-1738, 05/2020, Volume 30, Issue 4, pp. 205 - 211
Atrial fibrillation | Anthropometry | Lean body mass | Fat-free mass | Fat mass | Epidemiology | Body composition | Cardiac & Cardiovascular Systems | Life Sciences & Biomedicine | Cardiovascular System & Cardiology | Science & Technology | Cardiac arrhythmia | Obesity | Adipose tissue | Body fat | Fat-free | Risk factors | Studies | Body mass index | Fibrillation | Body mass | Womens health | Influence | Gastrointestinal surgery | Causality | Index Medicus
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2. The effect of new formulas for lean body mass on lean- body-mass-normalized SUV in oncologic 18F-FDG PET/CT
by Halsne, Trygve and Müller, Ebba Glørsen and Spiten, Ann-Eli and Sherwani, Alexander Gul and Mikalsen, Lars Tore Gyland and Revheim, Mona-Elisabeth and Stokke, Caroline
Journal of nuclear medicine technology, ISSN 0091-4916, 09/2018, Volume 46, Issue 3, pp. 253 - 259
Lean body mass | CT-based segmentation | Standardized uptake value | PET/CT
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3. Full Text Does lean body mass equal health despite body mass index?
by Colpitts, Benjamin H and Bouchard, Danielle R and Keshavarz, Mohammad and Boudreau, Jonathan and Sénéchal, Martin
Scandinavian journal of medicine & science in sports, ISSN 0905-7188, 04/2020, Volume 30, Issue 4, pp. 672 - 679
metabolic syndrome | lean body mass | cardio‐metabolic risk factors | obesity | fat mass | cardio-metabolic risk factors | Life Sciences & Biomedicine | Sport Sciences | Science & Technology | Index Medicus
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4. Full Text Effects of protein supplementation on lean body mass, muscle strength, and physical performance in nonfrail community-dwelling older adults: a systematic review and meta-analysis
by Haaf, D.S.M. ten and Nuijten, M.A.H and Maessen, M.F.H and Horstman, A.M and Eijsvogels, T.M.H and Hopman, M.T.E
The American journal of clinical nutrition, ISSN 0002-9165, 2018, Volume 108, Issue 5, pp. 1043 - 1059
Lean body mass | Sarcopenia | Performance | Elderly | Protein | Life Sciences & Biomedicine | Nutrition & Dietetics | Science & Technology | Geriatric Assessment | Movement | Gait | Humans | Middle Aged | Independent Living | Male | Muscle, Skeletal - metabolism | Resistance Training | Exercise | Body Fluid Compartments - metabolism | Dietary Proteins - pharmacology | Aged, 80 and over | Female | Aged | Physical Functional Performance | Dietary Supplements | Muscle Strength | Proteins in human nutrition | Motor ability | Dietary supplements | Physiological aspects | Muscles | Food and nutrition | Health aspects | Communities | Thigh | Data processing | Proteins | Training | Body mass index | Side effects | Reviews | Body mass | Older people | Muscle function | Adults | Supplementation | Muscular strength | Cross sections | Age | Index Medicus | Abridged Index Medicus | Human Nutrition & Health | Human Nutrition | Afdeling Humane voeding | Humane Voeding | Humane Voeding & Gezondheid | Human Nutrition (HNE)
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5. Full Text Lean Body Mass Is the Predominant Anthropometric Risk Factor for Atrial Fibrillation
by Fenger-Grøn, Morten, MSc and Overvad, Kim, MD, PhD and Tjønneland, Anne, MD, PhD, DMSc and Frost, Lars, MD, PhD, DMSc
Journal of the American College of Cardiology, ISSN 0735-1097, 2017, Volume 69, Issue 20, pp. 2488 - 2497
Cardiovascular | Internal Medicine | epidemiology | cohort | weight | anthropometry | obesity | Cardiac & Cardiovascular Systems | Life Sciences & Biomedicine | Cardiovascular System & Cardiology | Science & Technology | Body Mass Index | Atrial Fibrillation - pathology | Body Fat Distribution - methods | Life Style | Prospective Studies | Follow-Up Studies | Risk Assessment | Humans | Middle Aged | Risk Factors | Proportional Hazards Models | Male | Electric Impedance | Atrial Fibrillation - physiopathology | Obesity - pathology | Waist Circumference | Atrial Fibrillation - epidemiology | Obesity - epidemiology | Denmark - epidemiology | Anthropometry - methods | Female | Obesity - diagnosis | Waist-Hip Ratio | Atrial Fibrillation - psychology | Atrial fibrillation | Oncology, Experimental | Family medicine | Research | Cardiology | Epidemiology | Risk factors | Cancer | Cardiac arrhythmia | Obesity | Statistical analysis | Body fat | Adjustment | Anthropometry | Health risks | Bioelectricity | Registers | Weight | Hip | Confidence intervals | Body mass index | Fibrillation | Body mass | Correlation analysis | Lean body mass | Measurement methods | Flutter | Health risk assessment | Impedance | Index Medicus | Abridged Index Medicus
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6. Full Text Accuracy of body mass index in diagnosing obesity in the adult general population
by Romero-Corral, A and Somers, V.K and Sierra-Johnson, J and Thomas, R.J and Collazo-Clavell, M.L and Korinek, J and Allison, T.G and Batsis, J.A and Sert-Kuniyoshi, F.H and Lopez-Jimenez, F
International Journal of Obesity, ISSN 0307-0565, 06/2008, Volume 32, Issue 6, pp. 959 - 966
Body mass index | Lean mass | Diagnosis | Body fat percent | Endocrinology & Metabolism | Life Sciences & Biomedicine | Nutrition & Dietetics | Science & Technology | Obesity | Biological and medical sciences | Metabolic diseases | Medical sciences | Body Mass Index | Cross-Sectional Studies | Humans | Middle Aged | Male | Electric Impedance | Young Adult | Obesity - epidemiology | Sensitivity and Specificity | Aged, 80 and over | Adult | Female | Obesity - diagnosis | Aged | Body Composition - physiology | Measurement | Adipose tissues | Analysis | Research | Index Medicus
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7. Full Text Lean body mass is not beneficial, but may be detrimental for glucose tolerance – Splitting body mass index according to body composition
by Rehunen, Simo KJ and Kautiainen, Hannu and Korhonen, Päivi E and Eriksson, Johan G
Primary care diabetes, ISSN 1751-9918, 12/2020, Volume 14, Issue 6, pp. 747 - 752
Fat mass index | Oral glucose tolerance test | Insulin resistance | Lean mass index | Index Medicus
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8. Full Text Does CT-based lean body mass SUL is more reliable thanthose normalized by lean body mass estimated by predictive equations?
by Jingjie Shang and Xueying Ling and Yongjin Tang and Yong Cheng and Lu WANG and Jian Gong and Bin Guo and Hao Xu
The Journal of nuclear medicine (1978), ISSN 0161-5505, 05/2019, Volume 60
Body fat | Data acquisition | Independent variables | Regression analysis | Field of view | Body composition | Body mass | Body composition (biology) | Computed tomography | Mathematical analysis | Correlation analysis | Dependent variables | Body size | Lean body mass | Attenuation | Clinical medicine
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9. Full Text Associations between body mass index, lean and fat body mass and bone mineral density in middle-aged Australians: The Busselton Healthy Ageing Study
by Zhu, Kun and Hunter, Michael and James, Alan and Lim, Ee Mun and Walsh, John P
Bone (New York, N.Y.), ISSN 8756-3282, 2015, Volume 74, Issue C, pp. 146 - 152
Orthopedics | Lean body mass | Body mass index | Bone mineral density | Middle-aged adults | Fat mass | Busselton Healthy Ageing Study | Life Sciences & Biomedicine | Endocrinology & Metabolism | Science & Technology | Body Mass Index | Body Weight | Bone Density | Health | Anthropometry | Humans | Middle Aged | Male | Spine - physiology | Regression Analysis | Hip - physiology | Thinness - physiopathology | Adiposity | Aging | Female | Aged | Femur Neck - physiology | Australia | Osteoporosis | Bones | Density | Analysis | Risk factors | Index Medicus
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10. Full Text Does SUV normalized by CT-based lean body mass change PERCIST response classification based on lean body mass estimated by predictive equation?
by Jingjie Shang and Xueying Ling and Yongjin Tang and Yong Cheng and Lu WANG and Jian Gong and Bin Guo and Hao Xu
The Journal of nuclear medicine (1978), ISSN 0161-5505, 05/2019, Volume 60
Medical imaging | Regression analysis | Body composition | Body mass | Body composition (biology) | Computed tomography | Mathematical analysis | Body size | Classification | Lean body mass | Solid tumors | Workstations | Lesions | Tumors
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11. Full Text Variations in fat mass contribution to bone mineral density by gender, age, and body mass index: the Korea National Health and Nutrition Examination Survey (KNHANES) 2008–2011
by Kim, Y M and Kim, S H and Kim, S and Yoo, J S and Choe, E Y and Won, Y J
Osteoporosis international, ISSN 0937-941X, 8/2016, Volume 27, Issue 8, pp. 2543 - 2554
Body composition analysis | Medicine & Public Health | Orthopedics | Rheumatology | Bone mineral density | Fat indices | Fat mass | Endocrinology | Appendicular lean mass | Life Sciences & Biomedicine | Endocrinology & Metabolism | Science & Technology | Body Composition | Body Mass Index | Bone Density | Cross-Sectional Studies | Nutrition Surveys | Humans | Middle Aged | Adult | Female | Male | Aged | Republic of Korea | Analysis | Bones | Postmenopausal women | Research | Health surveys | Health aspects | Density | Body composition | Body fat | Gender | Multivariate analysis | Post-menopause | Body mass index | Mens health | Androgens | Bone mass | Bone density | Bone composition | Age | Age groups | Index Medicus
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