Body Composition and Lean Body Mass Index for Japanese College Students

Total Page:16

File Type:pdf, Size:1020Kb

Body Composition and Lean Body Mass Index for Japanese College Students J.Anthrop.Soc.Nippon人 類 誌 99(2):141-148(1991) Body Composition and Lean Body Mass Index for Japanese College Students Komei HATTORI Laboratory of Anatomy and Physical Activity Sciences, College of General Education, Ibaraki University Abstract Lean body mass (LBM) and fat mass (FM) are two major components of body composition and when totalled equal body mass. Body mass index (BMI) as represented by weight/height2, has proven to be both a simple and valid way of assessing body composition. However, the significance of the index is not clear since body weight is composed of two main components: LBM and FM, each of whose densities show distinct differences. In order to present the body constitution as clear quantitative measures, the lean body mass index (LBMI; LBM/height2), fat mass index (FMI; FM/height2) and a chart system (body composition chart) are introduced in this study. Through this chart system, we can detect the relative amount of the two major body constructs and differentiate subjects into adipo-muscular, lean-muscular, adipo-atrophy and lean- atrophy types. Keywords Body composition, Lean body mass index, Japanese, Students TREMBLAY, 1990; WATSON,1984). As a simple Introduction indicator of body composition, body mass index, Lean body mass (LBM) and fat mass (FM) are as represented by weight/height2, has prevailed two major components of body composition and due to its validity (BILLEwICZ et al., 1962; EL- when totalled equal body mass. The proportion NOFELY, 1986; FLOREY, 1970; GARN and of the two components is of great concern in the PESICK, 1982; KEYS et al., 1972; KHOSLA and fields of human biology, clinical medicine and LOWE,1967; MIcozzI et al., 1986; REVICKIand exercise physiology because it is an important ISRAEL, 1986; ROSS et al. 1988; SMALLEY et anthropological indicator (ABDEL-MALEKet al., al., 1990; WOMERSLEY et al., 1976). However, 1985; BENN, 1971; HARSHA et al., 1980; the significance of the index is still not clear since MUELLER, 1982; VAGUE, 1956) and an indicator body weight is composed of two main com- of chronic disease risk factors (DEUTCH and ponents: LBM and FM whose densities each MUELLER, 1985; FREEDMAN, 1987, 1989). In show distinct differences. The body mass index addition it is also related to habitual physical (BMI) is generally accepted as reflecting excess activity (BROWN, 1977; SATWANTI et al., 1983; fat, but it also shows the reverse information. Article No. 9105 Received February 7, 1991 142 K. HATTORI That is, the greater one's BMI value the greater weight/height2 index was used in this paper proportion of lean body mass such as muscle or because it has been recommended by many bone (WOMERSLEY and DURNIN, 1977). authors as a valid estimate of body fat which is SMALLEY et al. (1990) have also suggested that also independent of height (KEYS et al., 1972; BMI should be used with caution as an indicator HATTORI et al., 1977; REVICKI and ISRAEL, of obesity. 1986; MICOZZI et al., 1986). Body mass index For an analysis of the gross body constitution, can be divided into two terms as follows: the somatotype method may be useful, provided BMI = weight/height2 only general information about physique or = (LBM + FM)/height2 physical constitution is required. Since the basic = LBM/height2 + FM/height2 idea of the somatotype method is qualitative (in The two indices that compose of BMI; spite of its scoring system), quantitative informa- LBM/height2 and FM/height2 are termed lean tion about fat and LBM are not revealed by this body mass index (LBMI) and fat mass index method. (FMI), respectively. To present body constitution in clear Results quantitative measures, the lean body mass index (LBMI), fat mass index (FMI) and a chart system The data on body composition are shown in are introduced in this paper. Table 1. The means for LBM and FM were 51.3 kg and 9.0 kg for males, and 38.9 kg and 11.9 Subjects and Methods kg for females. Males tended to have a larger Subjects were 67 male and 76 female college amount of LBM and smaller amount of FM than students ranging in age from 18 to 22 years. All females in terms of absolute values. It should be were in average health and none were engaged stressed that BMI values for both sexes did not in special exercise programs. Body density was show a large difference (20.9 for males and 20.4 determined by hydrostatic weighing with residual for females). However, mean LBMI for males lung volume calculated by the O2 rebreathing was larger than that for females (17.8 and 15.6). method (WILMORE et al. 1980). LBM and FM Conversely, mean FMI for females was larger were calculated by SIRI's equation (SIRI, 1956). than that for males (4.8 and 3.1). While other studies of body composition of the Percent body fat is generally used as the Japanese have employed BROZEK's equation criterion for adiposity level. The relationship (NAGAMINE and SUZUKI, 1964; OHNAKA, between percent fat and FMI is shown in Fig. l . 1986), the SIRI equation was used in this study Since the two items showed clear correlations because of its theoretical simplicity and ease of (0.97 for males and 0.95 for females), the modification when the subject's LBM and fat significance of the information from FMI is densities differ from the adult standard almost identical with that from percent fat. (LOHMAN,1986). In practice both equations are Figs. 2 and 3 are scatter graphs for LBMI and based on similar densitometric data of various FMI vs. stature. No significant correlations were tissues. Since the data are a relatively constant found between the two items in both sexes. Thus biological factor, it was felt that SIRI's equation the two indices appear to be independent of body could equally well be applied to a Japanese size. Therefore, graphically the position in the sample (HATTORI et al., 1991). chart that the two indices take, given one com- Of the various body mass indices, ponent on each axis, represent the subject's status Lean Body Mass Index for Japanese 143 Table 1. Body composition and body mass indices for males and females ** Significant sex difference at p< .01 Fig. 1. Scatter plot of percent body fat (% Fat) vs. fat mass index (FM/height2), on the two components independent of size. + SD are termed atrophy, intermediate and Tables 2 and 3 show the dividing points of LBMI muscular for LBMI, and lean, intermediate and and FMI based on the mean values and standard adipose for FMI. Figs. 4 and 5 represent the deviations. The groups below the mean-SD, body composition chart for males and females. between means ± SDs and larger than mean The subjects located in the upper right section Table 2. Categorization of muscularity based on lean Table 3. Categorization of adiposity based on fat mass body mass index index 144 K. HATTORI Fig. 2. Scatter plot of stature vs. lean body mass index (LBM/height2).Fat mass index Fig. 3. Scatter plot of stature vs. fat mass index. have somewhat larger amounts of fat and LBM male and two female subjects in these sections. (adipo-muscular). Three subjects of each sex Fig. 6 presents the distribution of intermediate belong to this category. The lower right section subjects for both males and females. The male corresponds to a lean-muscular physique. Only intermediate zone is shifted toward the muscular one female subject is in this section. Upper left and lean sides of the female on the LBMI and and lower left sections are termed the adipo- FMI axes. atrophy and lean atrophy sections. There are four Lean Body Mass Index for Japanese 145 Body Composition Chart MatesFat Mass Index Lean Body Mass Index Fig. 4. Body composition chart for males. Lean body mass index and fat mass index are classified into three subgroups, respectively. Body Composition Chart FemalesFat mass index Lean Body Mass Index Fig. 5. Body composition chart for females. Lean body mass index and fat mass index are classified into three subgroups, respectively. 146 K. HATTORIFat Mass Index Lean Body Mass Index Fig. 6. Average distribution of two indices for both sexes in the body com- position chart. tailed information on body composition that is Discussion not necessarily clear in traditional analytical pro- Several reports have concluded that total body cedures. The body composition chart system may adiposity does not show a significant correlation be persuasive in practical assessment situations with body height (FLEGAL, 1990; GARN and because of its visual representation style. This in- PESICK, 1982; FRISANCHO and FLEGAL, 1982; formation is typically important since many MICOzzI et al., 1986; REVICKI and ISRAEL, people attempt to lose weight without any interest 1986; WOMERSLEY and DURNIN, 1977; HIMES or concern for body composition. Following the and ROCHE, 1986). In this sense, fat mass is weight reduction, however, LBM is atrophied and adequate to indicate total body adiposity. percent fat increased or maintained unless the However, it cannot be denied that fat mass is in- person adds an exercise regimen. Using the body fluenced by many factors, body size being one composition chart system, we can distinguish latent factor. Hence the percent fat (proportion those who are slim without excess fat from the of fat mass vs. body mass) is verified as a proper slim who maintain fat or so called "hidden indicator of adiposity. It therefore seems obesity". reasonable to assess adiposity by FMI since the two indices are strongly correlated. Acknowledgment One of the advantages of using LBMI and The author is grateful to Dr.
Recommended publications
  • Kinesiology 173: Foundations of Kinesiology
    Kinesiology 173: Foundations of Kinesiology Module 2.3: Body Composition WHEN PEOPLE TALK ABOUT BODY COMPOSITION WHICH MODEL DO THEY MEAN? The common nomenclature generally refers to the proportion of _______________________ and ________________________ Mass in the body. • Healthy body composition involves a high proportion of fat-free mass and an acceptably low level of body fat, adjusted for age and sex. The 2 Component Model ~21% Fat Mass vs ~79% _______________ BODY COMPOSITION CLASSIFICATIONS Health-related criterion referenced standards for body fatness. Classification Males Females Unhealthy Range < 6% < 9% (too low) Acceptable Range 6 – 24% 9 – 31% Unhealthy > 24% > 31% (too high) WHAT IS BODY FAT? Brown Adipose Cells: Cells specialized for the creation of heat. White Adipose Cells: Cells specialized for the _______________________________________________. • Subcutaneous (under the skin) white adipose tissue provides ______________________. OMPOSITION C • Adipose tissue is a poor thermal conductor as energy is stored in the cell without water. ODY B : • Visceral (around the organs) white adipose tissue provides cushioning for internal organs. 3 2. • White adipose tissue is also involved with the secretion of hormones. ODULE ODULE • White adipose cells can expand 4 times their initial size before they undergo cellular division. M 1 • Decreasing body fat only decreases the size of the cells and ________________________________________________________ the number of white adipose cells. Not everyone Stores Fat in the Same Way ______________________________________________________: • Most common in females. • Pear Shape: Fat stores around hips ______________________________________________________: • Most common in males. • Apple Shape: Fat stores around waist • Associated with MORE health risks! CAN YOU CLEANSE BODY FAT? The 4 Component Model ~21% Fat Mass ~58% ________________ ~16% Protein ~7% Bone Mineral • Body ‘Cleanse’ products work by reducing _____________________________________________.
    [Show full text]
  • The Obesity Paradox in Kidney Disease: How to Reconcile It with Obesity Management
    WORLD KIDNEY DAY MINI SYMPOSIUM ON KIDNEY DISEASE AND OBESITY The Obesity Paradox in Kidney Disease: How to Reconcile It With Obesity Management Kamyar Kalantar-Zadeh1,2,3,4, Connie M. Rhee1, Jason Chou1, S. Foad Ahmadi1,2,5, Jongha Park4, Joline L.T. Chen4 and Alpesh N. Amin5 1Harold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine, School of Medicine, Orange, California, USA; 2Program for Public Health, University of California Irvine, Irvine, California, USA; 3Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California, USA; 4Nephrology Section, VA Long Beach Healthcare System, Long Beach, California, USA; and 5Department of Medicine, University of California Irvine, School of Medicine, Orange, California, USA Obesity, a risk factor for de novo chronic kidney disease (CKD), confers survival advantages in advanced CKD. This so-called obesity paradox is the archetype of the reverse epidemiology of cardiovascular risks, in addition to the lipid, blood pressure, adiponectin, homocysteine, and uric acid paradoxes. These paradoxical phenomena are in sharp contradistinction to the known epidemiology of cardiovascular risks in the general population. In addition to advanced CKD, the obesity paradox has also been observed in heart failure, chronic obstructive lung disease, liver cirrhosis, and metastatic cancer, as well as in elderly individuals. These are populations in whom proteinÀenergy wasting and inflammation are strong predictors of early death. Both larger muscle mass and higher body fat provide longevity in these patients, whereas thinner body habitus and weight loss are associated with higher mortality. Muscle mass appears to be superior to body fat in conferring an even greater survival.
    [Show full text]
  • Effectiveness of Exercise Training After Bariatric Surgery—A Systematic
    obesity reviews doi: 10.1111/obr.12740 Obesity Treatment Effectiveness of exercise training after bariatric surgery —a systematic literature review and meta-analysis A. Bellicha1,2 , C. Ciangura2,3, C. Poitou2,3,4, P. Portero1 and J.- M. Oppert2,3 1Laboratory Bioengineering, Tissues and Summary Neuroplasticity (BIOTN EA7377), University We aimed to conduct a systematic review and meta-analysis of controlled trials Paris-Est, Créteil, France; 2Institute of assessing exercise training programs in patients with obesity undergoing bariatric Cardiometabolism and Nutrition (ICAN), surgery. We systematically searched exercise training studies performed after Sorbonne University, Paris, France; 3AP-HP, bariatric surgery published up to June 2017. Studies reporting changes in body Pitie-Salpetriere University Hospital, composition, physical fitness, functional capacity, objectively measured physical Department of Nutrition, Sorbonne University, activity, quality of life or relevant health outcomes were included. The review Centre for Research on Human Nutrition Ile-de- protocol is available from PROSPERO (CRD42017069380). Meta-analyses were France (CRNH IdF), Paris, France; and conducted using random-effects models when data were available from at least 4INSERM, UMRS NutriOmics Team, Paris, five articles. Twenty articles were included, describing 16 exercise training pro- France grams, of which 15 were included in the meta-analysis. Overall, exercise training was associated with higher weight loss (mean difference: À2.4 kg, 95% CI: À4.2; Received 21 February 2018; revised 18 May À0.6, I2 = 49%, n = 12), higher fat mass loss (À2.7 kg, 95% CI: À4.5; À1.0, 2018; accepted 9 June 2018 2 I = 50%, n = 8) and improved VO2max and functional walking (standardized mean difference: 0.86, 95% CI: 0.29; 1.44, I2 = 57%, n = 6; 1.45, 95% CI: Address for correspondence: J-M Oppert, MD, 0.32; 2.58, I2 = 89%, n = 6, respectively).
    [Show full text]
  • BIA TECHNOLOGY for ASSESSING MUSCLE MASS Andrew M
    3774 A4 16pp muscle mass SINGLES_Layout 1 17/05/2011 10:32 Page 2 BIA TECHNOLOGY FOR ASSESSING MUSCLE MASS Andrew M. Prentice, PhD An introductory guide Professor of International Nutrition Health Surveys Clinical Trials Medical Practice Research Epidemiology Sports And Fitness Centres General Practice Surgeries Geriatric Clinics Sport science 3774 A4 16pp muscle mass SINGLES_Layout 1 17/05/2011 10:32 Page 3 Muscle – the body’s powerhouse Some of these involve fine control of the smallest action (the movement of an eye for instance) and others involve Skeletal, cardiac and smooth muscles are responsible gross movements (such as the lifting of a leg by the for all human movement - from the beating of a heart, quadriceps muscle). They can apply isometric force and the drawing of a breath, to the running of a marathon. (gripping, squeezing, supporting a weight) or kinetic This booklet focuses solely on skeletal muscles. force (locomotion, movements). There are approximately 695 skeletal muscles in a human Skeletal muscles contain a mixture of two broad fibre types: body. Each contains contractile filaments that, under the slow twitch and fast twitch. Slow twitch fibres generate less control of efferent nerve signals, can slide over each force but have good endurance; fast twitch fibres contract other to create a force and hence cause movement. quickly and powerfully but fatigue rapidly. Figure 1 Figure 2 Figure 3 Muscles Anterior Muscles Posterior 02 3774 A4 16pp muscle mass SINGLES_Layout 1 17/05/2011 10:32 Page 4 Muscle through the lifecourse All muscle cells arise from the mesodermal layer of embryonic germ cells and most are already formed by birth - ready to grow and be trained throughout life.
    [Show full text]
  • Comparing Body Composition Methods for Bowling Green State University's
    Bowling Green State University ScholarWorks@BGSU Masters of Education in Human Movement, Sport, and Leisure Studies Graduate Projects Human Movement, Sport, and Leisure Studies 2021 COMPARING BODY COMPOSITION METHODS FOR BOWLING GREEN STATE UNIVERSITY’S AIR FORCE ROTC PROGRAM Trey Naylor Follow this and additional works at: https://scholarworks.bgsu.edu/hmsls_mastersprojects 1 COMPARING BODY COMPOSITION METHODS FOR BOWLING GREEN STATE UNIVERSITY’S AIR FORCE ROTC PROGRAM Trey R. Naylor Master’s Project Submitted to the School of Human Movement, Sport, and Leisure Studies Bowling Green State University In partial fulfillment of the requirements for the degree of MASTER of EDUCATION In Kinesiology Project Advisor Dr. Jessica Kiss, Assistant Teaching Professor, School of HMSLS Second Reader Dr. Adam Fullenkamp, Associate Professor, School of HMSLS 2 Table of Contents Abstract…………………………………………………………………………………………3-4 Introduction……………………………………………………………………………………..5-8 Literature Review……………………………………………………………………………...9-20 Methods……………………………………………………………………………………....21-25 Results……………………………………………………………..........................................26-29 Discussion…………………………………………………………………………………….30-34 Conclusions………………………………………………………………………………………35 References……………………………………………………………………………………36-42 Appendices…………………………………………………………………………………...43-48 Appendix A…………………………………………………………………………...43-45 Appendix B……………………………………………………………………...........46-47 Appendix C………………………………………………………………………............48 3 Abstract In special populations, such as ROTC cadets, body composition
    [Show full text]
  • Impact of Semaglutide on Body Composition in Adults with Overweight Or Obesity: Exploratory Analysis of the STEP 1 Study John Wilding
    Impact of Semaglutide on Body Composition in Adults with Overweight or Obesity: Exploratory Analysis of the STEP 1 Study John Wilding. University of Liverpool John PH Wilding, DM, FRCP1, Rachel L. Batterham, MD, PhD2, Salvatore Calanna, PhD3, Luc F. Van Gaal, MD,PhD4, Barbara M. McGowan, MD, PhD5, Julio Rosenstock, MD6, Marie TD Tran, MD, PhD3, Sean Wharton, MD, PharmD7, Koutaro Yokote, MD, PhD8, Niels Zeuthen, MSc3, Robert F. Kushner, MD9. 1Obesity and Endocrinology Research, Department of Cardiovascular and Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, United Kingdom, 2University College London Centre for Obesity Research, Division of Medicine, University College London and National Institute of Health Research, UCLH Biomedical Research Centre and Centre for Weight Management and Metabolic Surgery, UCLH, London, United Kingdom, 3Novo Nordisk A/S, Søborg, Denmark, 4Department of Endocrinology, Diabetology and Metabolism, Antwerp University Hospital, University of Antwerp, Edegem, Belgium, 5Department of Diabetes and Endocrinology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom, 6Dallas Diabetes Research Center at Medical City, Dallas, TX, 7York University, McMaster University and Wharton Weight Management Clinic, Toronto, ON, Canada, 8Department of Endocrinology, Hematology and Gerontology, Graduate School of Medicine, Chiba University and Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba, Japan, 9Division of Endocrinology, Feinberg School of Medicine, Northwestern University, Chicago, IL. Background: Central obesity is associated with increased risk of cardiometabolic disease. Weight loss reduces lean muscle mass, potentially impacting resting energy expenditure and/or physical functioning. This analysis of the STEP 1 trial evaluated the impact of subcutaneous (s.c.) semaglutide, a glucagon-like peptide-1 analogue, on body composition in adults with overweight/obesity using dual energy X-ray absorptiometry (DEXA).
    [Show full text]
  • Determination of Body Composition
    Determination of Body Composition Introduction A variety of methods have been developed for assessing body composition, including isotopic determination of total body water, whole body 40K counting, radiography, electrical conductance and impedance, etc. Two of the most common methods of assessing body composition, however, are hydrostatic weighing and determination of skinfold thicknesses. Although we won’t be doing hydrostatic weighing as part of the lab activities, the method is important for you to understand. The hydrostatic or underwater weighing method is based upon the assumption that the body is composed of two components or compartments. The components are fat-free or lean mass (FFM), which is assumed to have a density of 1.10 kg/L, and a fat component, which is assumed to have a density of 0.90 kg/L. The density of the whole body, therefore, will depend upon the relative size of these two components. If the body density is known, it is possible to convert this to a % body fat using the following equation, which was derived by Siri: % fat= (495/body density)-450 Although the concept involved in determining body composition from body density is relatively simple, actually measuring body density can be difficult. By definition, density is the mass of an object divided by its volume (D=M/V). Although it is easy to determine the mass of an object using scales, it is very difficult to determine the volume of an object that has an irregular shape such as the human body. It is possible to measure the volume of the human body by submerging a person in water, and measuring their weight.
    [Show full text]
  • Human Body Composition: in Vivo Methods
    PHYSIOLOGICAL REVIEWS Vol. 80, No. 2, April 2000 Printed in U.S.A. Human Body Composition: In Vivo Methods KENNETH J. ELLIS Body Composition Laboratory, United States Department of Agriculture/ARS Children’s Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine and Texas Children’s Hospital, Houston, Texas I. Historical Background and Cadaver Studies 650 II. Body Composition Models 650 A. Two-compartment models 650 B. Three-compartment models 651 C. Four-compartment models 651 D. Multicompartment models 651 III. Body Density and Volume Measurements 653 A. Underwater weighing 653 B. Air-displacement plethysmography 654 IV. Dilution Methods 655 A. Basic principle 655 B. Total body water 655 C. Extracellular water 656 D. Intracellular water 656 V. Bioelectrical Impedance and Conductance Methods 656 A. Bioelectrical impedance analysis 656 B. Bioelectrical impedance spectroscopy 657 C. Total body electrical conductivity 658 VI. Whole Body Counting and Neutron Activation Analysis 659 A. Total body potassium 659 B. Neutron activation analysis 660 VII. Dual-Energy X-ray Absorptiometry 662 A. Absorptiometric principle 662 B. Bone mineral measurements 662 C. Triple-energy X-ray techniques 663 VIII. Magnetic Resonance Imaging and Computed Tomography 664 A. Magnetic resonance imaging 664 B. Computed tomography 665 IX. Reference Body Composition Data 666 A. Infants 666 B. Children 667 C. Adults 668 X. Measurement of Changes in Body Composition 669 XI. Summary 671 Ellis, Kenneth J. Human Body Composition: In Vivo Methods. Physiol. Rev. 80: 649–680, 2000.—In vivo methods used to study human body composition continue to be developed, along with more advanced reference models that utilize the information obtained with these technologies.
    [Show full text]
  • Adipose Tissue and Fatty Acid Metabolism in Humans
    JOURNAL OF THE ROYAL SOCIETY OF MEDICINE Supplement No. 42 Volume 95 2002 Adipose tissue and fatty acid metabolism in humans Michael D Jensen J R Soc Med 2002;95(Suppl. 42):3–7 FORUM ON LIPIDS IN CLINICAL MEDICINE, 12 OCTOBER 2001 BACKGROUND women have 50±5% body fat. Thus, there are major diff- Obesity is associated strongly with adverse health con- erences in the amount of body fat between lean and obese sequences in humans, including hypertension, dyslipidaemia men and women. There are also striking differences in the and type 2 diabetes mellitus. An even stronger association location of body fat storage between lean and obese men and has been noted between metabolic abnormalities and regional women, and in different obesity phenotypes. The major, adiposity. Obese individuals with visceral or upper-body readily identifiable body fat depots are the upper-body obesity are more likely to suffer from these health prob- subcutaneous fat, the intra-abdominal (visceral) fat—con- lems. Many of the metabolic abnormalities observed in the sisting primarily of the omental and mesenteric depots—and obese can be reproduced in the non-obese by artificially the lower-body (gluteofemoral) body fat. As can be seen in increasing plasma free fatty acid (FFA) concentrations. Figure 2, upper-body subcutaneous fat is the major body fat Plasma FFA normally originate from adipose tissue lipolysis depot in lean and obese men and women. In a series of and are the major circulating lipid fuel. Increasing FFA studies performed in our laboratory, we have found that in concentrations artificially can induce insulin resistance at the both lean men and women, an average of 53% of total body level of the muscle1 and the liver2, result in abnormal vascular reactivity3, and create abnormal very low-density lipoprotein (VLDL) triglyceride production4.
    [Show full text]
  • Differences in Body Composition Among Patientsafter Hemorrhagic
    International Journal of Environmental Research and Public Health Article Differences in Body Composition among Patientsafter Hemorrhagic and Ischemic Stroke Jacek Wilczy ´nski* , Marta Mierzwa-Molenda and Natalia Habik-Tatarowska Laboratory of Posturology, Collegium Medicum, Jan Kochanowski University in Kielce, 25-516 Kielce, Poland; [email protected] (M.M.-M.); [email protected] (N.H.-T.) * Correspondence: jwilczy´[email protected];Tel.: +48-603-703-926 Received: 28 March 2020; Accepted: 6 June 2020; Published: 11 June 2020 Abstract: The aim of the study was to assess differences in the body composition of patients after hemorrhagic and ischemic stroke. There were 74 male participants in the study, of which 13 (18%) experienced hemorrhagic stroke, while 61 (82%) were after ischemic stroke. Significantly (p < 0.05) higher values of body composition variables were noted for ischemic compared to hemorrhagic strokes, and concerned: body mass (BM) (kg), basal metabolic rate (BMR) (kJ), fat-free mass (FFM) (kg), total body water (TBW) (kg), muscle mass (MM) (kg), visceral fat level (VFL), bone mass (BoM) (kg), extracellular water(ECW) (kg),intracellular water (ICW) (kg), trunk fat-free mass (TFFM) (kg) and trunk muscle mass (TMM) (kg)in the paretic upper limb; FFM (kg) and MM (kg) in the non-paretic upper limb; FFM (kg) and MM (kg) in the paretic lower limbas well as FFM (kg) and MM (kg) in the non-paretic lower limb without paresis. Only for the variables fat mass (FM) (kg), body mass index (BMI), metabolic age (MA), trunk fat mass (TFM) (kg), and FM (kg) in the paretic upper limb and FM (kg) in the non-paretic upper limb were there no significant differences.
    [Show full text]
  • Body Weight and Weight Change and Their Health Implications for the Elderly
    European Journal of Clinical Nutrition (2000) 54, Suppl 3, S33±S39 ß 2000 Macmillan Publishers Ltd All rights reserved 0954±3007/00 $15.00 www.nature.com/ejcn Body weight and weight change and their health implications for the elderly JC Seidell1,2* and TLS Visscher1,3 1Department of Chronic Diseases Epidemiology, National Institute of Public Health, Bilthoven, The Netherlands; 2Institute for Research in Extramural Medicine, Free University Amsterdam, The Netherlands; and 3Netherlands Institute for Health Sciences, Erasmus University, Rotterdam, The Netherlands After the age of 60 y, body weight on average tends to decrease. The contribution of fat mass to this weight loss is relatively small, but fat tends to be redistributed with advancing age toward more abdominal (particularly visceral) fat. Anthropometric data are relatively poor indicators of these aging processes. This may be one of the explanations why the relationship between high body mass index and mortality is less pronounced in older than in younger people. Reduced lipolysis in the visceral fat depot with aging is among potential explanations why increased visceral fat seems to be less harmful in elderly subjects compared to young adults. Even though the relative contribution of increased fat mass to mortality may be less pronounced in elderly people, the impact on disability and functional limitations is found to be important from both a clinical and a public health point of view. At the other end of the scale studies have shown that low body mass index and weight loss in the elderly are both strong predictors of subsequent mortality. This cannot be explained by effects of smoking and early mortality after baseline.
    [Show full text]
  • Weight Management a VA Clinician’S Guide to Weight Management (2019)
    Weight Management A VA Clinician’s Guide to Weight Management (2019) PBM Academic Detailing Service CONTENTS Background .................................................................................... 1 Acknowledging the unspoken ......................................................... 3 Addressing one obstacle at a time ................................................... 4 Prevention ...................................................................................... 5 Identification ................................................................................... 9 Engagement ................................................................................. 10 Motivational interviewing .............................................................. 11 Responding to Veterans’ perceived barriers to weight loss ............. 13 Frustrations with management of obesity ...................................... 14 Management ................................................................................ 15 Level 1: Comprehensive lifestyle intervention ......................... 16 Level 2: Drug therapy ............................................................. 18 Level 3: Surgical interventions ................................................ 21 Summary ...................................................................................... 23 Resources, acknowledgments, and references ............................... 24 PBM Academic Detailing Service These materials were developed by: VA PBM Academic Detailing Service Your Partner in
    [Show full text]