Icd-10-cm Review Exercises Chapter 1 Morbid Obesity With a Bmi of 44 in an Adult Male
ABSTRACT
Obesity is now recognized as a chronic or non-communicable illness. Contempo research has clarified the physiology of weight regulation, the pathophysiology that leads to unwanted weight proceeds and maintenance of the obese state even when reasonable attempts in lifestyle improvement are made, and the agin health consequences of generalized and cardinal obesity. While more sensitive and specific imaging methods to quantify body composition are available, near office-based practitioners will demand measure only height, weight, and waist circumference. With these, a patient'southward risk for obesity-related co-morbidities such as blazon 2 diabetes mellitus and cardiovascular disease can be estimated and advisable treatment plans and goals established. Within the United states, prevalence rates for generalized obesity (BMI > xxx kg/mii), extreme obesity (BMI > 40 kg/10002), and central obesity are standing to rise with acme obesity rates occurring in the 5th-7thdecades. Women have more generalized obesity but less central obesity than men, and obesity unduly affects The states minorities. Of concern are increases in obesity rates in youth (ages ii-19 years) in the US equally well as effectually the globe. This trend will likely continue to fuel the global obesity epidemic for decades to come, worsening population health, creating infrastructural challenges as countries endeavour to see the boosted health-intendance demands, and greatly increasing health-care expenditures world-wide. Beyond individual weight management, societal and economic innovations volition be necessary that focus on strategies to forbid further increases in overweight and obesity rates. For complete coverage of all related areas of Endocrinology, please visit our on-line Costless web-text, WWW.ENDOTEXT.ORG.
INTRODUCTION
Unwanted weight gain leading to overweight and obesity has go a main driver of the global rise in non-communicable diseases and is itself now considered a not-communicable disease. Because of the psychological and social stigmata that accompany being overweight and obese, those afflicted past these weather are besides vulnerable to bigotry in their personal and work lives, low self-esteem, and depression. These medical and psychological sequelae of obesity contribute to a major share of current health-care expenditures and generate additional economic costs through loss of worker productivity, increased inability, and premature loss of life.
The recognition that being overweight or obese is a chronic disease and not merely due to poor self-command or a lack of volition power comes from the past 70 years of research that has been steadily gaining insight into the physiologythat governs body weight (homeostatic mechanisms involved in sensing and adapting to changes in the body'due south internal metabolism, environmental nutrient availability, and activity levels so as to maintain body weight and fat content stability), the pathophysiologythat leads to unwanted weight gain maintenance, and the roles that backlog weight and fat maldistribution play in contributing to chronic diseases such as diabetes, dyslipidemia, centre disease, non-alcoholic fatty liver affliction, and many others(1, 2).
As with other chronic diseases, obesity results from an interaction between an individual's genetic predisposition to weight gain and environmental influences. Gene discovery in the field of weight regulation and obesity has identified several major single-gene effects resulting in severe and early on-onset obesity as well as many more than minor genes with more than variable effects on weight and fat distribution, including age-of-onset and severity. However, currently known major and minor genes explain only a small portion of body weight variations in the population(3). Several environmental contributors take too been identifiedbut countering these will likely require initiatives that fall far outside of the discussions taking place in the clinician's office between patient and provider since they involve making major societal changes regarding food quality, work-related and leisure-fourth dimension activities, and social determinants including disparities in socio-economic status.
Novel discoveries in fields of neuroendocrine and gastrointestinal control of ambition and energy expenditure have greatly advanced these fields in recent years. These insights accept led to an emerging portfolio of medications that, when added to behavioral and lifestyle improvements, can help restore appetite command and permit minor weight loss maintenance. They accept also led to novel mechanisms that help to explicate the superior outcomes (both in terms of meaningful and sustained weight loss as well equally improvements or resolution of co-morbid weather) following bariatric procedures such every bit laparoscopic sleeve gastrectomy and gastric bypass(four, 5).
Subsequent chapters in this section of EndoText will delve more deeply into these determinants and scientific advances, providing a greater breadth of information regarding mechanisms, clinical manifestations, treatment options, and prevention strategies for those who are overweight or obese (vi-12).
DEFINITION OF OVERWEIGHT AND OBESITY
Overweight and obesity occur when excess fatty aggregating (regionally, globally, or both) increases risk to health. It is the point at which wellness risk is increased that is most important because, as covered below, body weights and fat distributions that lead to expression of co-morbid diseases occur at different thresholds depending on the population.
Ideally, an obesity nomenclature system would have the following characteristics: it would be based on a practical measurement widely available to providers regardless of their setting; it would accurately predict wellness risk (prognosis); and it could be used to assign treatment stategies and goals. The most accurate measures of torso fat (the major component of trunk weight responsible for adverse outcomes) such every bit underwater weighing, dual-free energy x-ray absorptiometry (DEXA) scanning, computed tomograpy (CT), and magnetic resonance imaging (MRI) are impractical for utilize in everyday clinical encounters. Estimates of body fat including body mass index (BMI, calculated by dividing the trunk weight in kilograms past meridian in meters squared, or kg/thou2) and waist circumference exercise take limitations compared to these imaging methods, but still provide relevant information and are hands implemented in a variety of do settings.
It is worth pointing out 2 of import caveats regarding thresholds used to diagnose overweight and obesity. The start is that although nosotros favor the assignement of specific BMI cutting-offs and increasing risk (Table 1), relationships between body weight or fatty distribution and atmospheric condition that impair health actually correspond a continum. For example, increased risk for blazon 2 diabetes and premature mortality occur well before a BMI of 30 kg/m2(the threshold to define obesity in popluations of European extraction) is reached. It is in these before stages that preventative strategies to limit further weight proceeds and/or allow weight loss volition have their greatest health benefits. The second is that celebrated relationships between increasing weight thresholds weight and co-morbidities are becoming altered as ameliorate treatments for those weather condition go available. For case, in the past several decades, atherosclerotic cardiovascular (ASCVD) mortality has steadily declined in the US population (thirteen)even equally obesity rates have risen (see below). Although it is generally accepted that this decline in ASCVD deaths is due to better treatments in the field (meliorate coordination of "first responders" services such as ambulances and more widespread use by the public of cardiopulmonary resusitation and defibrillator units), by intensive care units, and in the part (statins, PCSK9 inhibitors, blood pressure medications, stents and other revascularization procedures) (xiv), these data accept also been cited to back up of the claim that being overweight might really protect against heart affliction(15). In this regard, updated epidemiological data on the health outcomes related to being overweight or obese should include not simply information on morbidity and mortality, but also health intendance utilization and costs, including medications and number of treatment-related procedures performed.
Nomenclature OF OVERWEIGHT, OBESITY, AND Primal OBESITY
Fat Mass and Per centum Body Fat
As mentioned above, fatty mass can be directly measured by ane of several imaging modalities, including DEXA, CT, and MRI, but these systems are impractical and cost prohibitive for general clinical utilize and, instead, are mostly used for research. Fat mass tin be measured indirectly using water (underwater weighing) or air deportation (BODPOD), or bioimpedance analysis (BIA). Each of these methods estimates the proportion of fat or not-fatty mass and allows calcutation of per centum trunk fat. Of these, BODPOD and BIA are frequently offered through fettle centers and clinics run by obesity medicine specialists. All the same, their general use in the care of overweight and obese patients is still not recommended. Interpretation of results from these procedures may be confounded by common conditions that back-trail obesity, particularly when fluid status is altered such equally in congenstive heart failure or chronic kidney disease. Also, ranges for normal and abnormal are non well established for these methods and, in practical terms, knowing them will not change electric current recommendations to assist patients achieve sustained weight loss.
Body Mass Index
Torso mass index allows comparison of weights independently of stature across populations. Except in persons who have increased lean weight as a result of intense practice or resistance training (due east.g., bodybuilders), BMI correlates well with percent of body fat, but this relationship is independently influenced by sex, age, and race (xvi), especially S Asians in whom evidence suggests that BMI-adapted percent body fatty is greater than other populations (17). In the U.s.a., data from the second National Health and Diet Exam Survey (NHANES 2) were used to define obesity in adults equally a BMI of 27.3 kg/miior more for women and a BMI of 27.viii kg/m2or more for men(18). These definitions were based on the gender-specific 85thpercentile values of BMI for persons 20 to 29 years of age. In 1998, still, the National Institutes of Wellness (NIH) Expert Panel on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults adopted the Globe Wellness Organization (WHO) classification for overweight and obesity (19). The WHO classification, which predominantly applied to people of European ancestry, assigns increasing risk for comorbid conditions—including hypertension, type ii diabetes mellitus, and cardiovascular disease—to persons with higher a BMI (Table 1) relative to persons of normal weight (BMI of 18.five - 25 kg/m2). Asian populations, however, are known to exist at increased risk for diabetes and hypertension at lower BMI ranges than those for non-Asian groups due to predominance of primal fat distribution (come across below). Consequently, the WHO has suggested lower cutoff points for consideration of therapeutic intervention in Asians: a BMI of 18.5 to 23 kg/10002represents acceptable gamble, 23 to 27.v kg/yard2confers increased risk, and 27.5 kg/m2or higher represents high risk (20).
Table 1
Classification of Overweight and Obesity by BMI, Waist Circumference, and Associated Illness Risk. Adapted from reference (nineteen).
View in own window
| BMI (kg/mtwo) | Obesity Class | Disease Gamble* (Relative to Normal Weight and Waist Circumference) | |||
| Men ≤40 inches (≤ 102 cm) Women ≤ 35 inches (≤ 88 cm) | > 40 in (> 102 cm) > 35 in (> 88 cm) | ||||
| Underweight | < eighteen.5 | - | - | ||
| Normal† | 18.5–24.9 | - | - | ||
| Overweight | 25.0–29.nine | Increased | High | ||
| Obesity | 30.0–34.ix 35.0–39.9 | I 2 | High Very Loftier | Very High Very High | |
| Extreme Obesity | ≥ xl | III | Extremely Loftier | Extremely High | |
*Disease risk for type 2 diabetes, hypertension, and cardiovascular disease.
†Increased waist circumference can also be a marker for increased take a chance even in persons of normal weight.
Fat Distribution (Central Obesity)
In addition to an increase in full body weight, a proportionally greater amount of fat in the belly or torso compared with the hips and lower extremities has been associated with increased chance for type 2 diabetes mellitus, hypertension, and centre disease in both men and women (21, 22). Abdominal obesity is commonly reported every bit a waist-to-hip ratio, only it is most easily quantified by a single circumferential measurement obtained at the level of the superior iliac crest (19). The original United states national guidelines categorized men at increased relative risk for co-morbidities such as diabetes and cardiovascular illness if they have a waist circumference greater than 102 cm (40 inches) and women if their waist circumference exceeds 88 cm (35 inches) (Table 1) (19). Thus, an overweight person with predominantly abdominal fat aggregating would be considered "loftier" gamble for these diseases even if that person is not obese past BMI criteria. These waist circumference thresholds are also used to define the "metabolic syndrome" by the most recent guidelines from the American Heart Association and the National Lipid Association (23, 24).
Even so, the relationships between key adiposity with co-morbidities are likewise a continuum and vary past race and ethnicity. For example, in those of Asian descent, abdominal (central) obesity has long been recognized to be a better illness run a risk predictor, especially for type 2 diabetes, than BMI (25). As endorsed by the International Diabetes Federation (26)and summarized in a WHO report in 2008 (27), dissimilar countries and health organizations have adopted differing sex- and population-specific cut off values for waist circumference thresholds predictive of increased risk for weight-related comorbidities. In addition to the U.s. criteria, culling thresholds for central obesity as measured by waist circumference include >94 cm (37 inches) and >80 cm (31.5 inches) for men and women of European anscestry and >90 cm (35.5 inches) and >80 cm (31.5 inches) for men and women of Southward Asian, Japanese, and Chinese origin (26, 27).
For the practioner, waist circumference should be measured in a standardized manner (xix)at each patient's visit along with body weight. This measurement tin can be used to identify increased risk for diabetes and cardiovascular illness independent of BMI, which in turn is of import for the development of an individualized weight management approach and in motivating patients to adhere to recommended lifestyle and medical therapies. Consideration for the utilise of lower waist circumference thresholds than those currently recommended in the US should occur when counseling a patient of South and Southeast Asian ancestry or if other components of the metabolic syndrome (e.g., hypertension, elevated fasting glucose (100 – 125 mg/dL; 5.v – 6.nine mmol/L), dyslipidemia) or prediabetes (hemoglobin A1c between 5.7 and half-dozen.4%) have been identified.
EPIDEMIOLOGY OF OVERWEIGHT AND OBESITY
In the U.s.a. (United states of america), data from the National Health and Nutrition Examination Survey using measured heights and weights shows that the steady increase in the prevalence of obesity in both children and adults over the past several decades has not waned, although in that location are exceptions amidst subpopulations as described in greater item below. In the most recently published United states written report (2015-2016), 39.8% of adults (BMI ≥ 30 kg/m2) and xviii.5% of youth (BMI ≥ 95thpercentile of age- and sex-specific growth charts) are obese (28)(Figure 1).
Figure 1
Trends in obesity prevalence among adults anile 20 and over (age adjusted) and youth aged 2–xix years: United states, 1999–2000 through 2015–2016. Youth are anile 2019 years and adults are 20 years and older. Taken from reference (28).
Overweight and Obesity in Adults: Relationships with Age, Sex, and Demographics
On average, these increases represent a tripling in obesity prevelance rates of the U.s.a. population since the 1960's (Figure 2). Several trends wtihin this data are worth highlighting. During this time, the prevelance of overweight (BMI ≥ 25 and <30 kg/m2) has remained remarkably stable in both men and women while that of extreme obesity (BMI ≥ forty kg/k2) has undergone a ix-fold increment from 0.nine% in 1960-1962 to 8.one% in 2013-14 (Figure 2). These large increases in the number of people with obesity and extreme obesity, while at the same fourth dimension the level of overweight has remained steady, suggests that the "obesogenic" environment is unduly affecting those portions of the population with the greatest genetic potential for weight proceeds (29, thirty). This currently leaves only ~ thirty% of the United states population as having a good for you weight (BMI betwixt 18.5 and 25 kg/m2).
Figure 2
Trends in adult overweight, obesity, and extreme obesity among men and women aged xx–74: United States, 1960–1962 through 2013–2014. Overweight is body mass index
(BMI) of 25 kg/m2 or greater just less than xxx kg/m2; obesity is BMI greater than or equal to 30; and extreme obesity is BMI greater than or equal to xl. Taken fom (31)
Adult women are, on boilerplate, more likely to exist obese than men, and the elevation rates of obesity for both men and women in the Usa occur between the ages of 40 and 60 years (Figures two and iii). In studies that accept measured body limerick, fat mass likewise peaks only past eye age in both men and women, simply percent torso fatty continues to increase by this age, specially in men considering of a proportionally greater loss in lean mass (32-34). The menopausal menstruum has as well been associated with an increase in percentage body fat and propensity for central fatty distribution, even though total body weight may alter very little during this time (35-37).
In general, women and men who did non go to college were similarly more likely to exist obese than those who did, but for both groups these relationships varied depending on race and ethnicity (see below). Amongst women, obesity prevelance rates decreased with
increasing income in women (from 45.2% to 29.seven%), just there was no difference in obesity prevalence between the everyman (31.five%) and highest (32.6%) income groups among men (38).
Figure 3
Prevalence of obesity amongst adults aged 20 years and over, past sex and age: United States, 2015–2016. Taken from reference (28).
Pediatrics
Childhood obesity is a hazard factor for adulthood obesity (39, 40). In this regard, the similar tripling of obesity rates in US youth is worrisome. One potential vivid spot in the most contempo trends is that obesity prevelance rates of the youngest (ages ii-five years) has shown a leveling off since 2005-2006 (Figure 4 and reference (28)). This may represent societal recognition and reversal of feeding and activity patterns in this age group that accept previously promoted weight gain and is an opportune age grouping (< half-dozen years of age) in which to reduce the likelihood for continuing a weight trajectory that leads to developed obesity (41). If this remains true, information technology would still accept close to a generation before population rates of obesity in adults are affected. Like adults, obesity rates in children are greater when they are live in households with lower incomes and less educational activity of the head of the household (42). In this regard, these obesity gaps take been steadily widening in girls, whereas the differences between boys has been relatively stable (42).
Minorities
The ascent in obesity prevalence rates has unduly affected U.s.a. minority populations (28). The highest prevelance rates of obesity by race and ethnicity are currently reported in blacks, native americans, and Hispanics (Figure 5and reference (43)). Like in the general population, minority women are more than affected than men, reaching obesity prevelance rates of 50% and higher for Hispanic and black women. The interactions of socieconomic status and obesity rates varied from the general population based on race and ethnicity (38). For case, the expected inverse relationship between obesity and income group did not hold for not-Hispanic blackness men and women in whom obesity prevelance was actually higher in the highest compared to lowest income group (men) or showed no relationship to income by racial grouping at all (women) (38). Obesity prevalence was lower amidst college graduates than amongst persons with less education for non-Hispanic white women and men, black women, and Hispanic women, but not for black and Hispanic men. Asian men and women have the lowest obesity prevelance rates, which did not vary by eduction or income level (38).
Figure 4
Trends in obesity among children and adolescents anile ii–xix years, by age: Usa, 1963–1965 through 2013–2014. Obesity is defined as body mass index (BMI) greater than or equal to the 95th percentile from the sexual activity-specific BMI-for-age 2000 CDC Growth Charts.
An identical design of higher obesity rates to those of developed minority groups (Figure v) are reported in younger minority populations (28). In those age two-19 years, the prevalence of obesity is 22% for non-Hispanic black youth, 25.8% for Hispanic youth, 14.1% for not-Hispanic white youth, and 11% for Asian youth (28). Hispanic boys take the highest obesity rates (28%), followed by non-Hispance black girls (25.one%) and Hispanic girls (23.6%) (28). The everyman obesity rates were institute in Asian youth. With regard to socieconomic status, the changed trends for lower obesity rates and college income and education (of households) held in all race and indigenous origin groups with the following exceptions: obesity prevalence was lower in the highest income group only in Hispanic and Asian boys and did non differ by income amidst not-Hispanic black girls (42).
Figure five
Prevalence of obesity among youth aged 2–19 years, by sex activity and race and Hispanic origin: United states of america, 2015–2016. Taken from reference (28).
Central Obesity
As discussed above, central weight distribution occurs more normally in men than women and increases in both men and women with increasing age. In one of the few datasets that have published time-trends in waist circumference, it has been shown that over the past twenty years, age-adapted waist circumferences have tracked upwards in both US men and women (Figure 6). Much of this likely reflects the population increases in obesity prevelance since increasing fat mass and visceral fatty track together (44).
Figure 6
Historic period-adjusted mean waist circumference among adults in the National Health and Diet Examination Survey 1999-2012. Adapted from (45).
Historically, international obesity rates take been lower than in the United states and most developing countries considered undernutrition to be their topmost health priority (46). However, international rates of overweight and obesity take been ascent steadiy for the past several decades and, in many countries, are now meeting or exceeding those of the US (Figure 7), (47, 48). In 2016, i.iii billion adults were overweight worldwide and, between 1975 to 2016, the number of adults with obesity increased over six-fold, from 100 million to 671 million (69 to 390 million women, 31 to 281 1000000 men ) (47). Especially worrisome accept been similar trends in the youth around the world (Effigy vii), from 5 1000000 girls and 6 million boys with obesity in 1975 to fifty million girls and 74 million boys in 2016 (47), as this ways the rise in obesity rates will keep for decades as they mature into adults.
Effigy 7
Trends in the number of adults, children, and adolescents with obesity and with moderate and severe underweight by region. Children and adolescents were aged five–nineteen years. (47).
The growth in the wordwide prelance of overweight and obesity is thought to be primarily driven by economic and technological advancements in all developing societies aroung the globe (49, 50). These forces have been ongoing in the Usa and other Western countries for many years but are being experienced past many developong countries on a compressed timescale. Greater worker productivity in advancing economies ways more than fourth dimension spent in sedentary work (less in manual labor) and less time spent in leisure activity. Greater wealth allows the purchase of televisions, cars, candy foods, and more than meals eaten out of the house, all of which accept been associated with greater rates of obesity in children and adults. More details and greater give-and-take of these issues can be establish in EndoText Chapters on Non-excercisse Action Thermogenesis (51)and Obesity and the Environment (52).
Regardless of the causes, these trends in global weight gain and obesity are quickly creating a tremendous burden on health-care systems and cost to countries attempting to reply to the increased treatment demands(53). In improver, they are besides feuling a ascension in global morbity and mortality for chronic (not-communicable) diseases, especially for cardiovascular disease and type 2 diabetes mellitus, and particularly in Asian and South Asian populations where rates of type ii diabetes are currently exploding (fourteen, 54-57). Efforts need to be made deliver adequate wellness care to those in need and, at the same fourth dimension, discover innovative and alternative solutions that allow economies to prosper and to incorporate technologies and so as to reverse electric current trends in obesity and obesit-related diseases.
SUMMARY
The full general rise in obesity that has been occurring over the by fifty years in the United states of america is now occurring globally. Women have higher obesity rates than men, and in the U.s.a., minorities are disproportionately affected compared to not-Hispanic whites, including blacks, native Americans, and Hispanics. Particularly worrisome are similar global trends in the increase in prevalence of obesity in children and adolescents every bit these groups will continue to contribute to a rising obesity charge per unit in adults for several decades later on. As of import as finding solutions that address the global logistical and financial challenges facing health-care systems attempting to meet current demands of obesity-related co-morbidities will exist finding innovative solutions that preclude further weight proceeds within developing (and developed) countries.
REFERENCES
-
Kampe J, Tschop Thousand, Horvath TL, Widmer P2010 Neuroendocrine Integration of Body Weight Regulation. In: De Groot LJ, Chrousos One thousand, Dungan Thousand, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New Yard, Purnell J, Rebar R, Singer F, Vinik A eds. Endotext. South Dartmouth (MA)
-
Kyrou I, Randeva HS, Weickert MO2018 Clinical Problems Acquired by Obesity. In: De Groot LJ, Chrousos K, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits 1000, McLachlan R, New One thousand, Purnell J, Rebar R, Singer F, Vinik A eds. Endotext. S Dartmouth (MA)
-
Farooqi IS, O'Rahilly South2017 The Genetics of Obesity in Humans. In: De Groot LJ, Chrousos K, Dungan Yard, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits Grand, McLachlan R, New M, Purnell J, Rebar R, Vocalizer F, Vinik A eds. Endotext. South Dartmouth (MA)
-
O'Brien P2016 Surgical Treatment of Obesity. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New 1000, Purnell J, Rebar R, Singer F, Vinik A eds. Endotext. Due south Dartmouth (MA)
-
Kim TY, Kim S, Schafer AL2018 Medical Management of the Postoperative Bariatric Surgery Patient. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A eds. Endotext. South Dartmouth (MA)
-
Bray GA2016 Prevention of Obesity. In: De Groot LJ, Chrousos K, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits Chiliad, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A eds. Endotext. S Dartmouth (MA)
-
Kumar RB, Aronne LJ2017 Pharmacologic Treatment of Obesity. In: De Groot LJ, Chrousos G, Dungan Yard, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits 1000, McLachlan R, New One thousand, Purnell J, Rebar R, Vocalist F, Vinik A eds. Endotext. Due south Dartmouth (MA)
-
DiPietro L, Stachenfeld NS2017 Exercise Handling of Obesity. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits Grand, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A eds. Endotext. South Dartmouth (MA)
-
Chadt A, Scherneck S, Joost HG, Al-Hasani H2018 Molecular links between Obesity and Diabetes: "Diabesity". In: De Groot LJ, Chrousos Yard, Dungan Thousand, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New One thousand, Purnell J, Rebar R, Singer F, Vinik A eds. Endotext. South Dartmouth (MA)
-
Feingold KR, Grunfeld C2018 Obesity and Dyslipidemia. In: De Groot LJ, Chrousos G, Dungan Grand, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits One thousand, McLachlan R, New K, Purnell J, Rebar R, Vocaliser F, Vinik A eds. Endotext. Southward Dartmouth (MA)
-
Westerterp KR2016 Control of Energy Expenditure in Humans. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits G, McLachlan R, New Chiliad, Purnell J, Rebar R, Singer F, Vinik A eds. Endotext. S Dartmouth (MA)
-
Myers MG, Leibel RL2015 Lessons From Rodent Models of Obesity. In: De Groot LJ, Chrousos K, Dungan Grand, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New Grand, Purnell J, Rebar R, Vocalizer F, Vinik A eds. Endotext. South Dartmouth (MA)
-
Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, Das SR, de Ferranti S, Despres JP, Fullerton HJ, Howard VJ, Huffman MD, Isasi CR, Jimenez MC, Judd SE, Kissela BM, Lichtman JH, Lisabeth LD, Liu Southward, Mackey RH, Magid DJ, McGuire DK, Mohler ER, 3rd, Moy CS, Muntner P, Mussolino ME, Nasir K, Neumar RW, Nichol M, Palaniappan 50, Pandey DK, Reeves MJ, Rodriguez CJ, Rosamond W, Sorlie PD, Stein J, Towfighi A, Turan TN, Virani SS, Woo D, Yeh RW, Turner MB, American Heart Association Statistics C, Stroke Statistics S2016 Heart Disease and Stroke Statistics-2016 Update: A Report From the American Heart Association. Circulation 133:e38-e360
-
Collaborators GBDO, Afshin A, Forouzanfar MH, Reitsma MB, Sur P, Estep K, Lee A, Marczak Fifty, Mokdad AH, Moradi-Lakeh M, Naghavi M, Salama JS, Vos T, Abate KH, Abbafati C, Ahmed MB, Al-Aly Z, Alkerwi A, Al-Raddadi R, Amare AT, Amberbir A, Amegah AK, Amini E, Amrock SM, Anjana RM, Arnlov J, Asayesh H, Banerjee A, Barac A, Baye E, Bennett DA, Beyene Equally, Biadgilign Due south, Biryukov S, Bjertness East, Boneya DJ, Campos-Nonato I, Carrero JJ, Cecilio P, Cercy Chiliad, Ciobanu LG, Cornaby L, Damtew SA, Dandona L, Dandona R, Dharmaratne SD, Duncan BB, Eshrati B, Esteghamati A, Feigin VL, Fernandes JC, Furst T, Gebrehiwot TT, Gilded A, Gona PN, Goto A, Habtewold TD, Hadush KT, Hafezi-Nejad Northward, Hay SI, Horino K, Islami F, Kamal R, Kasaeian A, Katikireddi SV, Kengne AP, Kesavachandran CN, Khader YS, Khang YH, Khubchandani J, Kim D, Kim YJ, Kinfu Y, Kosen S, Ku T, Defo BK, Kumar GA, Larson HJ, Leinsalu Thou, Liang X, Lim SS, Liu P, Lopez AD, Lozano R, Majeed A, Malekzadeh R, Malta DC, Mazidi M, McAlinden C, McGarvey ST, Mengistu DT, Mensah GA, Mensink GBM, Mezgebe HB, Mirrakhimov EM, Mueller UO, Noubiap JJ, Obermeyer CM, Ogbo FA, Owolabi MO, Patton GC, Pourmalek F, Qorbani M, Rafay A, Rai RK, Ranabhat CL, Reinig N, Safiri S, Salomon JA, Sanabria JR, Santos IS, Sartorius B, Sawhney One thousand, Schmidhuber J, Schutte AE, Schmidt MI, Sepanlou SG, Shamsizadeh G, Sheikhbahaei S, Shin MJ, Shiri R, Shiue I, Roba HS, Silva DAS, Silverberg JI, Singh JA, Stranges S, Swaminathan S, Tabares-Seisdedos R, Tadese F, Tedla BA, Tegegne BS, Terkawi AS, Thakur JS, Tonelli M, Topor-Madry R, Tyrovolas S, Ukwaja KN, Uthman OA, Vaezghasemi Yard, Vasankari T, Vlassov VV, Vollset SE, Weiderpass E, Werdecker A, Wesana J, Westerman R, Yano Y, Yonemoto N, Yonga G, Zaidi Z, Zenebe ZM, Zipkin B, Murray CJL2017 Wellness Effects of Overweight and Obesity in 195 Countries over 25 Years. N Engl J Med 377:13-27
-
Schenkeveld Fifty, Magro One thousand, Oemrawsingh RM, Lenzen M, de Jaegere P, van Geuns RJ, Serruys Prisoner of war, van Domburg RT2012 The influence of optimal medical handling on the 'obesity paradox', body mass index and long-term mortality in patients treated with percutaneous coronary intervention: a prospective cohort report. BMJ Open 2:e000535
-
Jackson Equally, Stanforth PR, Gagnon J, Rankinen T, Leon Equally, Rao DC, Skinner JS, Bouchard C, Wilmore JH2002 The issue of sex, historic period and race on estimating percent trunk fat from body mass index: The Heritage Family Study. Int J Obes Relat Metab Disord 26:789-796
-
Jackson Every bit, Ellis KJ, McFarlin BK, Sailors MH, Bray MS2009 Torso mass alphabetize bias in defining obesity of diverse young adults: the Training Intervention and Genetics of Exercise Response (TIGER) study. Br J Nutr 102:1084-1090
-
Najjar MF, Rowland M1987 Anthropometric reference data and prevalence of overweight, United States, 1976-80. Vital Health Stat 11:1-73
-
1998 Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults--The Prove Written report. National Institutes of Wellness. Obes Res 6 Suppl 2:51S-209S
-
Consultation WHOE2004 Advisable body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 363:157-163
-
Janssen I, Katzmarzyk PT, Ross R2004 Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr 79:379-384
-
Balkau B, Deanfield JE, Despres JP, Bassand JP, Play a trick on KA, Smith SC, Jr., Barter P, Tan CE, Van Gaal Fifty, Wittchen HU, Massien C, Haffner SM2007 International Day for the Evaluation of Abdominal Obesity (Thought): a written report of waist circumference, cardiovascular disease, and diabetes mellitus in 168,000 principal intendance patients in 63 countries. Circulation 116:1942-1951
-
Grundy SM2005 Metabolic syndrome scientific statement by the American Heart Association and the National Heart, Lung, and Blood Institute. Arterioscler Thromb Vasc Biol 25:2243-2244
-
Jacobson TA, Ito MK, Maki KC, Orringer CE, Bays HE, Jones PH, McKenney JM, Grundy SM, Gill EA, Wild RA, Wilson DP, Brown WV2015 National lipid association recommendations for patient-centered management of dyslipidemia: function i--total report. Journal of clinical lipidology 9:129-169
-
Fujimoto WY, Bergstrom RW, Boyko EJ, Leonetti DL, Newell-Morris LL, Wahl PW1995 Susceptibility to development of central adiposity among populations. Obes Res 3 Suppl ii:179S-186S
-
Alberti KG, Zimmet P, Shaw J2006 Metabolic syndrome--a new world-broad definition. A Consensus Statement from the International Diabetes Federation. Diabetic medicine : a periodical of the British Diabetic Clan 23:469-480
-
2008 Waist circumference and waist–hip ratio: report of a WHO adept consultation. In. Geneva, Switzerland: World Health System; 1-39
-
Hales CM, Carroll Medico, Fryar CD, Ogden CL2017 Prevalence of Obesity Among Adults and Youth: Us, 2015-2016. NCHS data cursory:ane-viii
-
Friedman JM2003 A war on obesity, not the obese. Science 299:856-858
-
Prentice AM1997 Obesity--the inevitable penalization of civilisation? Br Med Bull 53:229-237
-
Fryar CD, Carroll MD, Ogden CLPrevalence of Overweight, Obesity, and Extreme Obesity Among Adults Aged xx and Over: United States, 1960–1962 Through 2013–2014. In: National Eye for Wellness Statistics
-
Mott JW, Wang J, Thornton JC, Allison DB, Heymsfield SB, Pierson RN, Jr.1999 Relation between trunk fat and age in 4 indigenous groups. Am J Clin Nutr 69:1007-1013
-
Gallagher D, Ruts E, Visser M, Heshka Due south, Baumgartner RN, Wang J, Pierson RN, Pi-Sunyer FX, Heymsfield SB2000 Weight stability masks sarcopenia in elderly men and women. Am J Physiol Endocrinol Metab 279:E366-375
-
Hughes VA, Frontera WR, Roubenoff R, Evans WJ, Singh MA2002 Longitudinal changes in body composition in older men and women: role of trunk weight change and physical action. Am J Clin Nutr 76:473-481
-
Ley CJ, Lees B, Stevenson JC1992 Sex activity- and menopause-associated changes in trunk-fat distribution. Am J Clin Nutr 55:950-954
-
Svendsen OL, Hassager C, Christiansen C1995 Age- and menopause-associated variations in torso limerick and fat distribution in healthy women every bit measured by dual-free energy 10-ray absorptiometry. Metabolism 44:369-373.
-
Panotopooulos Thou, Ruiz JC, Raison J, Guygrand B, Basdevant B, Basdevant A1996 Menopause, fat and lean distribution in obese women. Maturitas 25:xi-xix
-
Ogden CL, Fakhouri Th, Carroll Medico, Hales CM, Fryar CD, Li 10, Freedman DS2017 Prevalence of Obesity Among Adults, by Household Income and Pedagogy - United States, 2011-2014. MMWR Morb Mortal Wkly Rep 66:1369-1373
-
Singh AS, Mulder C, Twisk JW, van Mechelen W, Chinapaw MJ2008 Tracking of babyhood overweight into machismo: a systematic review of the literature. Obes Rev 9:474-488
-
Rosenbaum M2013 Special Considerations Relative to Pediatric Obesity. In: De Groot LJ, Chrousos Thou, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A eds. Endotext. Due south Dartmouth (MA)
-
Buscot MJ, Thomson RJ, Juonala M, Sabin MA, Burgner DP, Lehtimaki T, Hutri-Kahonen N, Viikari JSA, Jokinen E, Tossavainen P, Laitinen T, Raitakari OT, Magnussen CG2018 BMI Trajectories Associated With Resolution of Elevated Youth BMI and Incident Adult Obesity. Pediatrics 141
-
Ogden CL, Carroll Doctor, Fakhouri TH, Hales CM, Fryar CD, Li X, Freedman DS2018 Prevalence of Obesity Among Youths past Household Income and Education Level of Caput of Household - United States 2011-2014. MMWR Morb Mortal Wkly Rep 67:186-189
-
Summary Health Statistics Tables: National Health Interview Survey.Table A-15. Body mass index among adults aged 18 and over, by selected characteristics: The states, 2016. In. 2016 ed: National Center for Health Statistics
-
Lemieux S, Prud'homme D, Bouchard C, Tremblay A, Despres JP1993 Sex differences in the relation of visceral adipose tissue accumulation to total body fatness. Am J Clin Nutr 58:463-467
-
Ford ES, Maynard LM, Li C2014 Trends in mean waist circumference and abdominal obesity amidst US adults, 1999-2012. JAMA 312:1151-1153
-
York DA, Rossner South, Caterson I, Chen CM, James WP, Kumanyika S, Martorell R, Vorster HH, American Center A2004 Prevention Conference VII: Obesity, a worldwide epidemic related to heart illness and stroke: Grouping I: worldwide demographics of obesity. Circulation 110:e463-470
-
Collaboration NCDRF2017 Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128.ix 1000000 children, adolescents, and adults. Lancet 390:2627-2642
-
Finucane MM, Stevens GA, Cowan MJ, Danaei G, Lin JK, Paciorek CJ, Singh GM, Gutierrez Hour, Lu Y, Bahalim AN, Farzadfar F, Riley LM, Ezzati M, Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating G2011 National, regional, and global trends in body-mass alphabetize since 1980: systematic analysis of health examination surveys and epidemiological studies with 960 country-years and nine.1 1000000 participants. Lancet 377:557-567
-
Popkin BM, Horton S, Kim S, Mahal A, Shuigao J2001 Trends in diet, nutritional condition, and diet-related noncommunicable diseases in China and India: the economical costs of the nutrition transition. Nutr Rev 59:379-390
-
Levine JA, Kotz CM2005 NEAT--not-practise activity thermogenesis--egocentric & geocentric environmental factors vs. biological regulation. Acta Physiol Scand 184:309-318
-
von Loeffelholz C2014 The Office of Non-exercise Activity Thermogenesis in Homo Obesity. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New G, Purnell J, Rebar R, Singer F, Vinik A eds. Endotext. South Dartmouth (MA)
-
Brehm BJ, D'Alessio DA2014 Ecology Factors Influencing Obesity. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A eds. Endotext. Due south Dartmouth (MA)
-
Withrow D, Alter DA2011 The economic brunt of obesity worldwide: a systematic review of the direct costs of obesity. Obes Rev 12:131-141
-
Bragg F, Tang K, Guo Y, Iona A, Du H, Holmes MV, Bian Z, Kartsonaki C, Chen Y, Yang L, Sunday Q, Dong C, Chen J, Collins R, Peto R, Li L, Chen Z, Red china Kadoorie Biobank Collaborative Grand2018 Associations of General and Primal Adiposity With Incident Diabetes in Chinese Men and Women. Diabetes Intendance 41:494-502
-
Tirosh A, Shai I, Afek A, Dubnov-Raz G, Ayalon N, Gordon B, Derazne Due east, Tzur D, Shamis A, Vinker Southward, Rudich A2011 Adolescent BMI trajectory and risk of diabetes versus coronary illness. N Engl J Med 364:1315-1325
-
Global BMIMC, Di Angelantonio East, Bhupathiraju Sh Due north, Wormser D, Gao P, Kaptoge S, Berrington de Gonzalez A, Cairns BJ, Huxley R, Jackson Ch 50, Joshy 1000, Lewington S, Manson JE, Murphy N, Patel AV, Samet JM, Woodward G, Zheng W, Zhou M, Bansal Due north, Barricarte A, Carter B, Cerhan JR, Smith GD, Fang X, Franco OH, Green J, Halsey J, Hildebrand JS, Jung KJ, Korda RJ, McLerran DF, Moore SC, O'Keeffe LM, Paige East, Ramond A, Reeves GK, Rolland B, Sacerdote C, Sattar N, Sofianopoulou E, Stevens J, Thun M, Ueshima H, Yang L, Yun YD, Willeit P, Banks East, Beral V, Chen Z, Gapstur SM, Gunter MJ, Hartge P, Jee SH, Lam TH, Peto R, Potter JD, Willett WC, Thompson SG, Danesh J, Hu FB2016 Trunk-mass index and all-cause bloodshed: individual-participant-information meta-analysis of 239 prospective studies in four continents. Lancet 388:776-786
-
Ogurtsova K, da Rocha Fernandes JD, Huang Y, Linnenkamp U, Guariguata L, Cho NH, Cavan D, Shaw JE, Makaroff LE2017 IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040. Diabetes research and clinical practice 128:40-50
Source: https://www.ncbi.nlm.nih.gov/books/NBK279167/
0 Response to "Icd-10-cm Review Exercises Chapter 1 Morbid Obesity With a Bmi of 44 in an Adult Male"
Post a Comment