Obesity
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Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Cafer Zorkun, M.D., Ph.D. [2] Raviteja Guddeti, M.B.B.S. [3] Parth Vikram Singh, MBBS[4]
Synonyms and keywords:
Overview
Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]
Overview
Obesity is a condition in which the natural energy reserve, stored in the fatty tissue of humans and other mammals, is increased to a point where it is associated with certain health conditions or increased mortality.
Although obesity is an individual clinical condition, it is increasingly viewed as a serious and growing public health problem: excessive body weight has been shown to predispose to various diseases, particularly cardiovascular diseases, diabetes mellitus type 2, sleep apnea and osteoarthritis.[1][2]
Obesity is characterized as a state of excess adipose mass with abnormal increase of fat on the subcutaneous connective tissue. Obesity is generally gauged by the Body Mass Index(BMI). A high BMI is associated with a higher risk for potentially lethal medical problems.
| BMI (kg/m2) | |
| Appropriate Weight | 18.5-25 |
| Overweight | >25 |
| Obesity | >30 |
Historical Perspective
Classification
Pathophysiology
Causes
Differentiating Obesity from other Diseases
Epidemiology and Demographics
Risk Factors
Screening
Natural History, Complications and Prognosis
Diagnosis
History and Symptoms
Physical Examination
Laboratory Findings
Blood tests may be done to look for thyroid or hormone problems that could lead to weight gain.
Electrocardiogram
Chest X Ray
CT
MRI
Echocardiography or Ultrasound
Other Imaging Findings
Other Diagnostic Studies
Treatment
Surgery
Medical Therapy
Primary Prevention
Secondary Prevention
Cost-Effectiveness of Therapy
Future or Investigational Therapies
Case Studies
Case #1
References
- ↑ National Heart, Lung, and Blood Institute. Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults (PDF). International Medical Publishing, Inc. ISBN 1-58808-002-1.
- ↑ Haslam DW, James WP (2005). “Obesity”. Lancet. 366 (9492): 1197–209. doi:10.1016/S0140-6736(05)67483-1. PMID 16198769.
Historical Perspective
Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]
Historical Perspective
Obesity is the nominal form of obese which comes from the Latin obēsus, which means “stout, fat, or plump.” Ēsus is the past participle of edere (to eat), with ob added to it. In Classical Latin, this verb is seen only in past participial form. Its first attested usage in English was in 1651, in Noah Biggs’s Matæotechnia Medicinæ Praxeos.[1]

In several human cultures, obesity was associated with physical attractiveness, strength, and fertility. Some of the earliest known cultural artifact artifacts, known as Venus figurines, are pocket-sized statuettes representing an obese female figure. Although their cultural significance is unrecorded, their widespread use throughout pre-historic Mediterranean and European cultures suggests a central role for the obese female form in magical rituals, and suggests cultural approval of (and perhaps reverence for) this body form. This is most likely due to their ability to easily bear children and survive famine.
Obesity was considered a symbol of wealth and social status in cultures prone to food shortages or famine. It was viewed in the same manner well into the early modern period in European cultures as well, but as food security was realized, it came to serve more as a visible signifier of “lust for life”, appetite, and immersion in the realm of the erotic.
This was especially the case in the visual arts, such as the paintings of Rubens (1577–1640), whose regular depiction of fat women gives us the description Rubenesque. Obesity can also be seen as a symbol within a system of prestige. “The kind of food, the quantity, and the manner in which it is served are among the important criteria of social class. In most tribal societies, even those with a highly stratified social system, everyone – royalty and the commoners – ate the same kind of food, and if there was famine everyone was hungry. With the ever increasing diversity of foods, food has become not only a matter of social status, but also a mark of one’s personality and taste.”[2]
Contemporary Culture
In modern Western culture, the obese body shape is widely regarded as unattractive and many negative stereotypes are commonly associated with obese people. Obese children, teenagers and adults can also face a heavy social stigma. Obese children are frequently the targets of bullies and are often shunned by their peers. Although obesity rates are rising amongst all social classes in the West, obesity is often seen as a sign of lower socio-economic status.[3] Most obese people have experienced negative thoughts about their body image, and some take drastic steps to try to change their shape including dieting, the use of diet pills, and even surgery. Not all contemporary cultures disapprove of obesity. There are many cultures which are traditionally more approving (to varying degrees) of obesity, including some African, Arabic, Indian, and Pacific Island cultures. Especially in recent decades, obesity has come to be seen more as a medical condition in modern Western culture even being referred to as an epidemic.[4]
Recently emerging is a small but vocal fat acceptance movement that seeks to challenge weight-based discrimination. Obesity acceptance and advocacy groups have initiated litigation to defend the rights of obese people and to prevent their social exclusion.
Some notable figures within this movement, such as Paul Campos, argue that the social stigma surrounding obesity is founded in cultural anxiety, and that public concern over health risks associated with obesity are inappropriately used as a rationalization for this stigma.[5]
Government agencies and private medicine have warned Americans for years of the adverse health effects associated with overweight and obesity. Despite the warnings, the problem is getting worse. In 2004, the CDC reported that 66.3% of adults in the United States were overweight or obese. The cause in most cases is a sedentary lifestyle; approximately 40% of adults in the United States do not participate in any leisure-time physical activity and less than 1/3 of adults engage in the recommended amount of physical activity.[6] Overweight and obesity are easily determined by using Body Mass Index (BMI); this index uses your weight and height to determine body fat. An index A BMI range of 25 to 29.9 is considered overweight and anything over 30 obese. Individuals with a BMI over 30 increase the risk of several heath hazards.[7]
Popular Culture
Various stereotypes of obese people have found their way into expressions of popular culture. A common stereotype is the obese character who has a warm and dependable personality, or a jolly fat man like Santa Claus. Equally common is the obese vicious bully (such as Dudley Dursley from the Harry Potter book series, Eric Cartman from South Park, Nelson Muntz from The Simpsons).
Gluttony and obesity are commonly depicted together in works of fiction.
In cartoons, obesity is often used to comedic effect, with fat animal characters (such as Piggy, Porky Pig, Tummi Gummi, and Podgy Pig) having to squeeze through narrow spaces, frequently getting stuck or even exploding.
A more unusual example of obesity-related humour is Bustopher Jones, from T. S. Eliot’s poem “Bustopher Jones: The Cat About Town” featured in Old Possum’s Book of Practical Cats, and the musical Cats derived from the poem. Bustopher’s claim to fame is that he is a regular visitor to many gentlemen’s clubs including Drones, Blimp’s and the Tomb. Due to his constant lunching at these clubs, he is remarkably fat, being described by others as “a twenty-five pounder… And he’s putting on weight everyday.” Another popular character, Garfield, a cartoon cat, is also obese for humor. When his owner, Jon, puts him on diets, rather than losing weight, Garfield slows down his weight gain.
It can be argued that depiction in popular culture adds to and maintains commonly perceived stereotypes, in turn harming the self esteem of obese people. On the other hand, obesity is often associated with positive characteristics such as good humor. In addition, some people are sexually attracted to obese people (see chubby culture and fat admirer).
References
- ↑ The Oxford English Dictionary (website)
- ↑ Powdermaker H. “An anthropological approach to the problem of obesity.” In: Food and Culture: A Reader. Ed. Carole Counihan and Penny van Esterik. New York: Routledge, 1997;206. ISBN 0-415-91710-7.
- ↑ Greg Critser, Fat Land. Houghton Mifflin, NY, 2003. ISBN 0-14101-540-3.
- ↑ Phillips, Stone (2006-08-18). “Who’s to blame for the U.S. obesity epidemic?”. MSNBC. Retrieved 2007-06-03.
- ↑ Paul Campos, The Diet Myth. Gotham Books, NY, 2004. ISBN 1-59240-135-X.
- ↑ Centers for Disease Control and Prevention, National Center for Health Statistics, Fast Facts A to Z. Available at: http://www.cdc.gov/nchs/fastats/overwt.htm . Accessed July 15, 2007
- ↑ The Surgeon General’s call to action to prevent and decrease overweight and obesity; U.S. Dept. of Health and Human Services, Public Health Service, Office of The Surgeon General; Washington, D.C. Available at: http://www.surgeongeneral.gov/topics/obesity/calltoaction/CalltoAction.pdf. Accessed July 12, 2007
Classification
Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Karol Gema Hernandez, M.D. [2]
Classification
Obesity can be defined in absolute or relative terms. In practical settings, obesity is typically evaluated in absolute terms by measuring BMI (body mass index), but also in terms of its distribution through waist circumference or waist-hip circumference ratio measurements.[1] In addition, the presence of obesity needs to be regarded in the context of other risk factors and comorbidities (other medical conditions that could influence risk of complications).[2]
BMI
BMI, or body mass index, is a simple and widely used method for estimating body fat.[3] BMI was developed by the Belgian statistician and anthropometrist Adolphe Quetelet.[4] It is calculated by dividing the subject’s weight by the square of his/her height, typically expressed either in metric or US “Customary” units:
- Metric: BMI = kg/m^2
Where kg is the subject’s weight in kilograms and m is the subject’s height in metres.
- US/Customary: BMI=lb*703/in^2
Where lb is the subject’s weight in pounds and in is the subject’s height in inches.
The current definitions commonly in use establish the following values, agreed in 1997 and published in 2000:[5]
- A BMI less than 18.5 is underweight
- A BMI of 18.5–24.9 is normal weight
- A BMI of 25.0–29.9 is overweight
- A BMI of 30.0–39.9 is obese
- A BMI of 40.0 or higher is severely (or morbidly) obese
- A BMI of 35.0 or higher in the presence of at least one other significant comorbidity is also classified by some bodies as morbid obesity.[6][7]
In a clinical setting, physicians take into account race, ethnicity, lean mass (muscularity), age, sex, and other factors which can affect the interpretation of BMI. BMI overestimates body fat in persons who are very muscular, and it can underestimate body fat in persons who have lost body mass (e.g. many elderly).[2] Mild obesity as defined by BMI alone is not a cardiac risk factor, and hence BMI cannot be used as a sole clinical and epidemiological predictor of cardiovascular health.[8] According to American Heart Association, when assessing and treating CVD, and obesity- related comorbilities, waist circumference indicating increased metabolic risk is as follows: [9]
- Women: >88 cm or >35 inches
- Men: >102 cm or >40 inches
References
- ↑ Sweeting HN (2007). “Measurement and definitions of obesity in childhood and adolescence: a field guide for the uninitiated”. Nutr J. 6: 32. doi:10.1186/1475-2891-6-32. PMID 17963490.
- ↑ 2.0 2.1 National Heart, Lung, and Blood Institute. Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults (PDF). International Medical Publishing, Inc. ISBN 1-58808-002-1.
- ↑ Mei Z, Grummer-Strawn LM, Pietrobelli A, Goulding A, Goran MI, Dietz WH. Validity of body mass index compared with other body-composition screening indexes for the assessment of body fatness in children and adolescents. Am J Clin Nutr 2002;75:978-85. PMID 12036802.
- ↑ Quetelet LAJ. (1871). Antropométrie ou Mesure des Différences Facultés de l’Homme. Brussels: Musquardt.
- ↑ World Health Organization Technical report series 894: “Obesity: preventing and managing the global epidemic.”. Geneva: World Health Organization, 2000. PDF. ISBN 92-4-120894-5.
- ↑ “NICE issues guidance on surgery for morbid obesity”. National Institute for Health and Clinical Excellence. 19th July 2002. Retrieved 2007-03-08. Check date values in:
|date=(help) - ↑ “Bariatric Surgery”. USC Center for Colorectal and Pelvic Floor Disorders. University of Southern California. 2006. Retrieved 2007-03-08.
- ↑ Romero-Corral A, Montori VM, Somers VK; et al. (2006). “Association of bodyweight with total mortality and with cardiovascular events in coronary artery disease: a systematic review of cohort studies”. Lancet. 368 (9536): 666–78. doi:10.1016/S0140-6736(06)69251-9. PMID 16920472.
- ↑ Jensen MD, Ryan DH, Apovian CM, Ard JD, Comuzzie AG, Donato KA; et al. (2013). “2013 AHA/ACC/TOS Guideline for the Management of Overweight and Obesity in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity Society”. Circulation. doi:10.1161/01.cir.0000437739.71477.ee. PMID 24222017.
Pathophysiology
Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1] Associate Editor-in-Chief: Salman J. Khan, M.D.
Pathophysiology
Lifestyle
Most researchers have concluded that the combination of an excessive nutrient intake and a sedentary lifestyle are the main cause for the rapid acceleration of obesity in Western society in the last quarter of the 20th century. [1]
Despite the widespread availability of nutritional information in schools, doctors’ offices, on the internet and on groceries,[2] it is evident that overeating remains a substantial problem. For instance, reliance on energy-dense fast-food meals tripled between 1977 and 1995, and calorie intake quadrupled over the same period.[3]
However, dietary intake in itself is insufficient to explain the phenomenal rise in levels of obesity in much of the industrialized world during recent years. An increasingly sedentary lifestyle also has a significant role to play. More and more research into child obesity, for example, links such things as the school run, with the current high levels of this disease. [4]
Less well established life style issues which may influence obesity include a stressful mentality and insufficient sleep.
Genetics
As with many medical conditions, the calorific imbalance that results in obesity often develops from a combination of genetic and environmental factors. Polymorphisms in various genes controlling appetite, metabolism, and adipokine release predispose to obesity, but the condition requires availability of sufficient calories, and possibly other factors, to develop fully. Various genetic conditions that feature obesity have been identified (such as Prader-Willi syndrome, Bardet-Biedl syndrome, MOMO syndrome, leptin receptor mutations and melanocortin receptor mutations), but known single-locus mutations have been found in only about 5% of obese individuals. While it is thought that a large proportion of the causative genes are still to be identified, much obesity is likely the result of interactions between multiple genes, and non-genetic factors are likely also important.
A 2007 study identified fairly common mutations in the FTO gene; heterozygotes had a 30% increased risk of obesity, while homozygotes faced a 70% increased risk.[5]
On a population level, the thrifty gene hypothesis postulates that certain ethnic groups may be more prone to obesity than others, and the ability to take advantage of rare periods of abundance and use such abundance by storing energy efficiently may have been an evolutionary advantage in times when food was scarce. Individuals with greater adipose reserves were more likely to survive famine. This tendency to store fat is likely maladaptive in a society with stable food supplies.[6]
Medical Illness
Certain physical and mental illnesses and particular pharmaceutical substances may predispose to obesity. Apart from the fact that correcting these situations may improve the obesity, the presence of increased body weight may complicate the management of others.
Medical illnesses that increase obesity risk include several rare congenital syndromes (listed above), hypothyroidism, Cushing’s syndrome, growth hormone deficiency.[7] Smoking cessation is a known cause for moderate weight gain, as nicotine suppresses appetite. Certain medications (e.g. steroids, atypical antipsychotics, some fertility medication) may cause weight gain.
Mental illnesses may also increase obesity risk, specifically some eating disorders such as bulimia nervosa, binge eating disorder, and compulsive overeating (also known as food addiction).
Neurobiological Mechanisms

Flier[8] summarizes the many possible pathophysiological mechanisms involved in the development and maintenance of obesity. This field of research had been almost unapproached until leptin was discovered in 1994. Since this discovery, many other hormonal mechanisms have been elucidated that participate in the regulation of appetite and food intake, storage patterns of adipose tissue, and development of insulin resistance. Since leptin’s discovery, ghrelin, orexin, PYY 3-36, cholecystokinin, adiponectin, and many other mediators have been studied. The adipokines are mediators produced by adipose tissue; their action is thought to modify many obesity-related diseases.
Leptin and ghrelin are considered to be complementary in their influence on appetite, with ghrelin produced by the stomach modulating short-term appetitive control (i.e. to eat when the stomach is empty and to stop when the stomach is stretched). Leptin is produced by adipose tissue to signal fat storage reserves in the body, and mediates long-term appetitive controls (i.e. to eat more when fat storages are low and less when fat storages are high). Although administration of leptin may be effective in a small subset of obese individuals who are leptin deficient, many more obese individuals are thought to be leptin resistant. This resistance is thought to explain in part why administration of leptin has not been shown to be effective in suppressing appetite in most obese subjects.
While leptin and ghrelin are produced peripherally, they control appetite through their actions on the central nervous system. In particular, they and other appetite-related hormones act on the hypothalamus, a region of the brain central to the regulation of food intake and energy expenditure. There are several circuits within the hypothalamus that contribute to its role in integrating appetite, the melanocortin pathway being the most well understood.[8] The circuit begins with an area of the hypothalamus, the arcuate nucleus, that has outputs to the lateral hypothalamus (LH) and ventromedial hypothalamus (VMH), the brain’s feeding and satiety centers, respectively.[9]
The arcuate nucleus contains two distinct groups of neurons.[8] The first group coexpresses neuropeptide Y (NPY) and agouti-related peptide (AgRP) and has stimulatory inputs to the LH and inhibitory inputs to the VMH. The second group coexpresses pro-opiomelanocortin (POMC) and cocaine- and amphetamine-regulated transcript (CART) and has stimulatory inputs to the VMH and inhibitory inputs to the LH. Consequently, NPY/AgRP neurons stimulate feeding and inhibit satiety, while POMC/CART neurons stimulate satiety and inhibit feeding. Both groups of arcuate nucleus neurons are regulated in part by leptin. Leptin inhibits the NPY/AgRP group while stimulating the POMC/CART group. Thus a deficiency in leptin signaling, either via leptin deficiency or leptin resistance, leads to overfeeding and may account for some genetic and acquired forms of obesity.
Impaired Brain Response to Nutrients in Obese Individuals: A Link to Compulsive Eating behavior
Brain is actively involved in shaping eating behavior. Whenever food is consumed, brain gives a response to the nutrient intake. According to the latest research, the brain has an impaired response to nutrients in obese individuals as compared to lean people.
Several neurotransmitters have been studied for rewarding effects of food intake. These include dopamine, cannabinoids, opioids, serotonin, and neuropeptides.[10][11] These neurotransmitters play a major role in homeostatic regulation of food intake.[12] In a normal human being food consumption is followed by the release of these neurotransmitters from the brain to provide the feeling of satisfaction and reward. Dopamine is the thoroughly investigated and considered to be the primary neurotransmitter involved.[13] Dopamine is a neurotransmitter that has an important role in motivation, processing of reward and behavior change through its projections from dorsal striatum, ventral tegmental area (VTA) and Nucleus accumbens (NAc). [14][15] Dopamine releases from dorsal striatum in response to the pleasure of food intake and activates many brain regions such as the midbrain, subcallosal cingulate and Prefrontal cortex.[16] Furthermore, dopamine increases in VTA and NAc areas. The quantity of dopamine determines the pleasure arising from food, greater the magnitude greater will be the feeling of reward and pleasure.[17] When dopamine activity reach a significant level and the feeling of reward is achieved, food intake is stopped.
In obesity, there is a decrease release of dopamine in response to food. This can be attributed to chronic food exposure and diminished dopamine activity.[18][19] It occurs due to decrease in D2 receptors in the dorsal striatum.[20] Consequently, this causes compensatory overeating to achieve the required feeling of reward.[21][22] As per the clinical trial by Volkow et al using PET and multiple tracers, both drug addicts and individuals with morbid obesity have a smaller number of dopamine (D2) receptors in the striatum as compared to the healthy population.[23] This shows the compulsive behavior in this population segment.
Wang and Haltia in their studies found out that lower D2 receptors are linked with higher Body Mass Index in individuals with obesity.[24][25] These discoveries shows that impaired Dopamine receptor activity increases feeding and the risk for obesity.[26] Guo et al. discovered that obesity and opportunistic eating were negatively associated with dopamine magnitude in ventromedial striatum, a region supporting reward and motivation.[27]
This mechanism shows that brain has centers where changes occur in response to nutrient intake. In obese individuals, there is impaired mechanism towards food intake. These findings are critical as they might be the reasons behind eating disorders and failed weight loss efforts.
Microbiological Aspects
The role of bacteria colonizing the digestive tract in the development of obesity has recently become the subject of investigation. Bacteria participate in digestion (especially of fatty acids and polysaccharides), and alterations in the proportion of particular strains of bacteria may explain why certain people are more prone to weight gain than others. Human digestive tract are generally either members of the phyla of bacteroidetes or of firmicutes. In obese people, there is a relative abundance of firmicutes (which cause relatively high energy absorption), which is restored by weight loss. From these results it cannot yet be concluded whether this imbalance is the cause of obesity or an effect.[28]
Social Determinants
Some obesity co-factors are resistant to the theory that the “epidemic” is a new phenomenon. In particular, a class co-factor consistently appears across many studies. Comparing net worth with BMI scores, a 2004 study[29] found obese American subjects approximately half as wealthy as thin ones. When income differentials were factored out, the inequity persisted—thin subjects were inheriting more wealth than fat ones. A higher rate of a lower level of education and tendencies to rely on cheaper fast foods is seen as a reason why these results are so dissimilar. Another study finds women who married into higher status are predictably thinner than women who married into lower status.
A 2007 study of more than 32,500 children of the original Framingham Heart Study cohort followed for 32 years indicated that BMI change in friends, siblings or spouse predicted BMI change in subjects irrespective of geographical distance. The association was strongest among mutual friends and lower among siblings and spouses (although these differences were not statistically significant). The authors concluded from the results that acceptance of body mass plays an important role in changes in body size.[30]
Environmental Factors
While it may often appear obvious why a certain individual gets fat, it is far more difficult to understand why the average weight of certain societies have recently been growing. While genetic causes are central to understanding obesity, they cannot fully explain why one culture grows fatter than another.
This is most notable in the United States. In the years from just after the Second World War until 1960 the average person’s weight increased, but few were obese. In the two and a half decades since 1980 the growth in the rate of obesity has accelerated markedly and is increasingly becoming a public health concern.
There are a number of theories as to the cause of this change since 1980. Most believe it is a combination of various factors.
- Lack of activity: obese people are less active in general than lean people, and not just because of their obesity. A controlled increase in calorie intake of lean people did not make them less active; correspondingly when obese people lost weight they did not become more active. Weight change does not affect activity levels, but the converse seems to be the case.[31]
- Lower relative cost of foodstuffs: massive changes in agricultural policy in the United States and Europe have led to food prices for consumers being lower than at any point in history. This can raise costs for consumers in some areas but greatly lower it in others. Current debates into trade policy highlight disagreements on the effects of subsidies. In the United States, production of corn, soy, wheat and rice is subsidized through the U.S. farm bill. Corn and soy, which are main sources of the sugars and fats in processed food, are thus cheap compared to fruits and vegetables.[32]
- Increased marketing has also played a role. In the early 1980s in America the Reagan administration lifted most regulations pertaining to sweets and fast food advertising to children. As a result, the number of advertisements seen by the average child increased greatly, and a large proportion of these were for fast food and sweets.[33]
- The changing workforce as each year a greater percent of the population spends their entire workday behind a desk or computer, seeing virtually no exercise. In the kitchen the microwave oven has seen sales of calorie-dense frozen convenience foods skyrocket and has encouraged more elaborate snacking.
- A social cause that is believed by many to play a role is the increasing number of two income households in which one parent no longer remains home to look after the house. This increases the number of restaurant and take-out meals.
- Urban sprawl may be a factor: obesity rates increase as urban sprawl increases, possibly due to less walking and less time for cooking.[34]
- Since 1980 fast food restaurants have seen dramatic growth in terms of the number of outlets and customers served. Low food costs, and intense competition for market share, led to increased portion sizes—for example, McDonalds french fries portions rose from 200 calories (840 kilojoules) in 1960 to over 600 calories (2,500 kJ) today.
References
- ↑ Sara Bleich, David Cutler, Christopher Murray, Alyce Adams. Why is the Developed World Obese? National Bureau of Economic Research Working Paper No. 12954. Issued in March 2007.
- ↑ Centers for Disease Control and Prevention. Nutrition For Everyone. National Control for Health Statistics. Accessed July 15, 2007.
- ↑ Lin BH, Guthrie J and Frazao E (1999). “Nutrient contribution of food away from home”. In: Frazao E (Ed). America’s Eating Habits: Changes and Consequences. Agriculture Information Bulletin No. 750, US Department of Agriculture, Economic Research Service, Washington, DC, pp. 213–239. Fulltext index.
- ↑ http://politics.guardian.co.uk/publicservices/story/0,,2147839,00.html
- ↑ Frayling TM, Timpson NJ, Weedon MN; et al. (2007). “A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity”. Science. 316 (5826): 889–94. doi:10.1126/science.1141634. PMID 17434869.
- ↑ Chakravarthy MV, Booth FW (2004). “Eating, exercise, and “thrifty” genotypes: connecting the dots toward an evolutionary understanding of modern chronic diseases”. J. Appl. Physiol. 96 (1): 3–10. doi:10.1152/japplphysiol.00757.2003. PMID 14660491.
- ↑ Rosén T, Bosaeus I, Tölli J, Lindstedt G, Bengtsson BA (1993). “Increased body fat mass and decreased extracellular fluid volume in adults with growth hormone deficiency”. Clin. Endocrinol. (Oxf). 38 (1): 63–71. PMID 8435887.
- ↑ 8.0 8.1 8.2 Flier JS (2004). “Obesity wars: molecular progress confronts an expanding epidemic”. Cell. 116 (2): 337–50. PMID 14744442.
- ↑ Boulpaep, Emile L.; Boron, Walter F. (2003). Medical physiology: a cellular and molecular approach. Philadelphia: Saunders. ISBN 0-7216-3256-4.
- ↑ Cota, D. et al. (2006) Cannabinoids, opioids and eating behavior: the molecular face of hedonism? Brain Res. Rev. 51, 85–107
- ↑ Atkinson, T. (2008) Central and peripheral neuroendocrine peptides and signalling in appetite regulation: considerations for obesity pharmacotherapy. Obes. Rev. 9, 108–120
- ↑ Cason, A.M. et al. (2010) Role of orexin/hypocretin in reward-seeking and addiction: implications for obesity. Physiol. Behav. 100, 419– 428
- ↑ Wise, R. (2006) Role of brain dopamine in food reward and reinforcement. Philos. Trans. R. Soc. Lond. B. Biol. Sci. 361, 1149– 1158
- ↑ Wang, G.J.; Volkow, N.D.; Thanos, P.K.; Fowler, J.S. Imaging of brain dopamine pathways: Implications for understanding obesity. J. Addict. Med. 2009, 3, 8–18.
- ↑ Abizaid, A.; Liu, Z.W.; Andrews, Z.B.; Shanabrough, M.; Borok, E.; Elsworth, J.D.; Roth, R.H.; Sleeman, M.W.; Picciotto, M.R.; Tschop, M.H.; et al. Ghrelin modulates the activity and synaptic input organization of midbrain dopamine neurons while promoting appetite. J. Clin. Investig. 2006, 116, 3229–3239.
- ↑ Wise, R. (2006) Role of brain dopamine in food reward and reinforcement. Philos. Trans. R. Soc. Lond. B. Biol. Sci. 361, 1149– 1158
- ↑ Rothemund, Y.; Preuschhof, C.; Bohner, G.; Bauknecht, H.C.; Klingebiel, R.; Flor, H.; Klapp, B.F. Differential activation of the dorsal striatum by high-calorie visual food stimuli in obese individuals. Neuroimage 2007, 37, 410–421.
- ↑ Tang-Christensen, M.; Vrang, N.; Larsen, P.J. Glucagon-like peptide containing pathways in the regulation of feeding behaviour. Int. J. Obes. Relat. Metab. Disord. 2001, 25, S42–S47.
- ↑ Steele, K.E.; Prokopowicz, G.P.; Schweitzer, M.A.; Magunsuon, T.H.; Lidor, A.O.; Kuwabawa, H.; Kumar, A.; Brasic, J.; Wong, D.F. Alterations of central dopamine receptors before and after gastric bypass surgery. Obes. Surg. 2010, 20, 369–374.
- ↑ Geiger, B.M. et al. (2009) Deficits of mesolimbic dopamine neurotransmission in rat dietary obesity. Neuroscience 159, 1193– 1199
- ↑ Lenard, N.R.; Berthoud, H.R. Central and peripheral regulation of food intake and physical activity: Pathways and genes. Obesity (Silver Spring) 2008, 16, S11–S22.
- ↑ Arora, S.; Anubhut. Role of neuropeptides in appetite regulation and obesity—A review. Neuropeptides 2006, 40, 375–401.
- ↑ Volkow, N.D.; Wang, G.J.; Fowler, J.S.; Telang, F. Overlapping neuronal circuits in addiction and obesity: Evidence of systems pathology. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2008, 363, 3191–3200.
- ↑ McFarland, K.; Ettenberg, A. Haloperidol does not affect motivational processes in an operant runway model of food-seeking behavior. Behav. Neurosci. 1998, 112, 630–635.
- ↑ Wang, G.J.; Volkow, N.D.; Logan, J.; Pappas, N.R.; Wong, C.T.; Zhu, W.; Netusil, N.; Fowler, J.S. Brain dopamine and obesity. Lancet 2001, 357, 354–357.
- ↑ Haltia, L.T.; Rinne, J.O.; Merisaari, H.; Maguire, R.P.; Savontaus, E.; Helin, S.; Nagren, K.; Kaasinen, V. Effects of intravenous glucose on dopaminergic function in the human brain in vivo. Synapse 2007, 61, 748–756.
- ↑ Restaino, L.; Frampton, E.W.; Turner, K.M.; Allison, D.R. A chromogenic plating medium for isolating Escherichia coli O157:H7 from beef. Lett. Appl. Microbiol. 1999, 29, 26–30.
- ↑ Ley RE, Turnbaugh PJ, Klein S, Gordon JI (2006). “Microbial ecology: human gut microbes associated with obesity”. Nature. 444 (7122): 1022–3. doi:10.1038/4441022a. PMID 17183309.
- ↑ Zagorsky JL. Is Obesity as Dangerous to Your Wealth as to Your Health? Res Aging 2004;26:130-152. PDF fulltext.doi:10.1177/0164027503258519.
- ↑ Christakis NA, Fowler JH (2007). “The Spread of Obesity in a Large Social Network over 32 Years”. 357 (4): 370–379. doi:10.1056/NEJMsa066082. PMID 17652652.
- ↑ Levine JA, Lanningham-Foster LM, McCrady SK, Krizan AC, Olson LR, Kane PH, Jensen MD, Clark MM (2005). “Interindividual variation in posture allocation: possible role in human obesity”. Science. 307 (5709): 584–6. PMID 15681386 doi:10.1126/science.1106561.
- ↑ Pollan, Michael (April 22, 2007). “You Are What You Grow”. New York Times. Retrieved 2007-07-30.
- ↑ Brian Wansink and Mike Huckabee (2005), “De-Marketing Obesity,” California Management Review, 47:4 (Summer), 6-18.
- ↑ Lopez R (2004). “Urban sprawl and risk for being overweight or obese”. Am J Public Health. 94 (9): 1574–9. PMID 15333317.
Causes
Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]
Overview
Causes
Common Causes
- Cushing’s syndrome
- Drugs
- Diabetes
- Familial obesity
- Glucocorticoids
- Hypothyroidism
- Hyperandrogenism
- Metabolic Syndrome
- Overeating
- Physical inactivity
- Polycystic ovary syndrome
Causes by Organ System
Causes by Alphabetical Order
|
References
Differentiating Obesity from other Diseases
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References
Epidemiology and Demographics
Editor-In-Chief: C. Michael Gibson, M.S., M.D. [2]
Overview
Epidemiology and Demographics

Prevalence
- United States
The prevalence of overweight and obesity in the United States makes obesity a leading public health problem. The United States has the highest rates of obesity in the developed world.[1] From 1980 to 2002, obesity has doubled in adults and overweight prevalence has tripled in children and adolescents.[2] From 2003-2004, “children and adolescents aged 2 to 19 years, 17.1% were overweight…and 32.2% of adults aged 20 years or older were obese.”[2] The prevalence in the United States continues to rise.[3]
- United Kingdom
The Health Survey for England predicts that more than 12 million adults and 1 million children will be obese by 2010 if no action is taken.[4][5]
- China
Because of the booming economy increasing average incomes, the population of China has recently begun a more sedentary lifestyle and at the same time begun consuming more calorie-rich foods. From 1991 to 2004 the percentage of adults who are overweight or obese increased from 12.9% to 27.3%.[6]
Obesity is a public health and policy problem because of its prevalence, costs and burdens.[7] The prevalence of obesity has been continually rising for two decades.[8] This sudden rise in obesity prevalence is attributed to environmental and population factors rather than individual behavior and biology because of the rapid and continual rise in the number of overweight and obese individuals.[9] The current environment produces risk factors for decreased physical activity and for increased calorie consumption. These environmental factors operate on the population to decrease physical activity and increase calorie consumption.
References
- ↑ According to circa 2005 OECD data. See §3.3, Overweight and obesity, Health at a Glance 2007: OECD Indicators, SourceOECD (accessed on line January 12, 2008.)
- ↑ 2.0 2.1 Ogden CL, Carroll MD, Curtin LR, McDowell MA, Tabak CJ, Flegal KM (2006). “Prevalence of overweight and obesity in the United States, 1999-2004”. JAMA. 295 (13): 1549–55. doi:10.1001/jama.295.13.1549. PMID 16595758.
- ↑ The rapid epidemic of obesity in individual U.S. states from 1985-2004 can be seen here and here
- ↑ BBC England to have 13m obese by 2010 25 August 2006
- ↑ Forecasting obesity to 2010
- ↑ Popkin, Barry (September, 2007). “The World Is Fat”. Scientific American. p. 94. Template:ISSN. Check date values in:
|date=(help) - ↑ U.S. Dept. of Health and Human Services, Public Health Service, Office of Surgeon General, The Surgeon General’s Call to Action to Prevent and Decrease Overweight and Obesity 2001 (2001)
- ↑ Centers for Disease Control and Prevention, U.S. Obesity Trends 1984 – 2002 [1].
- ↑ Morrill A, Chinn C. The obesity epidemic in the United States. J Public Health Policy 2004;25:353-366. PMID 15683071.
Risk Factors
Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]
Overview
Risk Factors
The presence of risk factors and diseases associated with obesity are also used to establish a clinical diagnosis. Possible life-threatening risk factors that would indicate clinical treatment of obesity
Other risk factors
References
Screening
Editor-In-Chief: C. Michael Gibson, M.S., M.D. [2]; Associate Editor(s)-in-Chief: Karol Gema Hernandez, M.D. [3] Usama Talib, BSc, MD [4]
Overview
Screening for obesity is recommended among children more than 6 years of age, and at least once a year among adults. Screening strategies include calculation of the body mass index (BMI), measurement of waist circumference, and measurement of body fat.
Screening
Body Mass Index (BMI)
Adults
Screening for obesity should be performed at least once a year among adults. The cut-off values of BMI to define obesity and overweight among adults are as follows:
- Overweight: BMI >25.0-29.9 kg/m2
- Obesity: BMI≥30 kg/m2
Pediatric Screnning: BMI Percentile
Clinical practice guidelines and systematic review[1][2] by the United States Preventive Services Task Force in 2010 stated:[3][4]
- “Clinicians screen children aged 6 years and older for obesity and offer them or refer them to comprehensive, intensive behavioral intervention to promote improvement in weight status.”
- “Overweight = age- and gender-specific BMI at ≥85th to 94th percentile”
- “Obesity = age- and gender-specific BMI at ≥95th percentile”
The review included a meta-analysis of trials of weight management programs and concluded that weighted mean BMI decrease of 2.4 with comprehensive, medium- to high-intensity programs.[2]
Waist Circumference
BMI does not take into account differing ratios of adipose to lean tissue; nor does it distinguish between differing forms of adiposity, some of which may correlate more closely with cardiovascular risk. Increasing understanding of the biology of different forms of adipose tissue has shown that visceral fat or central obesity (male-type or apple-type obesity) has a much stronger correlation, particularly with cardiovascular disease, than the BMI alone.[5]
The absolute waist circumference (>102 cm in men and >88 cm in women) or waist-hip ratio (>0.9 for men and >0.85 for women)[5] are both used as measures of central obesity.
In a cohort of almost 15,000 subjects from the National Health and Nutrition Examination Survey (NHANES) III study, waist circumference explained obesity-related health risk significantly better than BMI when metabolic syndrome was taken as an outcome measure.[6]
Body Fat Measurement
An alternative way to determine obesity is to assess percent body fat. Doctors and scientists generally agree that men with more than 25% body fat and women with more than 30% body fat are obese. However, it is difficult to measure body fat precisely. The most accepted method has been to weigh a person underwater, but underwater weighing is a procedure limited to laboratories with special equipment. Two simpler methods for measuring body fat are the skinfold test, in which a pinch of skin is precisely measured to determine the thickness of the subcutaneous fat layer; or bioelectrical impedance analysis, usually only carried out at specialist clinics. Their routine use is discouraged.[7]
Other measurements of body fat include computed tomography (CT/CAT scan), magnetic resonance imaging (MRI/NMR), and dual energy X-ray absorptiometry (DXA).[8]
2013 AHA/ACC/TOS Guideline for the Management of Overweight and Obesity in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity Society (DO NOT EDIT) [9]
Identifying Patients Who Need to Lose Weight (BMI and Waist Circumference (DO NOT EDIT)
| Class I |
| “1. Measure height and weight and calculate BMI at annual visits or more frequently. (Level of Evidence: E)” |
| “2. Use the current cutpoints for overweight (BMI >25.0-29.9 kg/m2) to identify adults who may be at elevated risk of CVD and the current cut points for obesity (BMI≥30) to identify adults who may be at elevated risk of mortality from all causes. (Level of Evidence: A)” |
| “3. Advise overweight and obese adults that the greater the BMI, the greater the risk of CVD, type 2 diabetes, and all-cause mortality. (Level of Evidence: A)” |
| Class IIa |
| “1. Measure waist circumference at annual visits or more frequently in overweight and obese adults. Advise adults that the greater the waist circumference, the greater the risk of CVD, type 2 diabetes, and all-cause mortality. The cutpoints currently in common use (from either NIH/NHLBI or WHO/IDF) may continue to be used to identify patients who may be at increased risk until further evidence becomes available. (Level of Evidence: B)” |
Recommendations for Screening of Obesity
| USPSTF Obesity Guidelines for Children and Adolescents 6 years and older |
| “1. The USPSTF recommends that clinicians screen for obesity in children and adolescents 6 years and older and offer or refer them to comprehensive, intensive behavioral interventions to promote improvements in weight status.(Recommendation Grade: B)” |
Recommendations for Screening of Obesity in Adults
| USPSTF Obesity Guidelines for Adults |
| “1. The USPSTF recommends screening all adults for obesity. Clinicians should offer or refer patients with a body mass index (BMI) of 30 kg/m2 or higher to intensive, multicomponent behavioral interventions.(Recommendation Grade: B)” |
References
- ↑ USPSTF (2010. Final Evidence Summary: Obesity in Children and Adolescents: Screening
- ↑ 2.0 2.1 Whitlock EP, O’Conner EA, Williams SB, Beil TL, Lutz KW. Effectiveness of Primary Care Interventions for Weight Management in Children and Adolescents: An Updated, Targeted Systematic Review for the USPSTF [Internet]. Rockville (MD): Agency for Healthcare Research and Quality (US); 2010 Jan. Available from http://www.ncbi.nlm.nih.gov/books/NBK36416/ PMID: [1].
- ↑ United States Preventive Service Task Force (2010). Effectiveness of Primary Care Interventions for Weight Management in Children and Adolescents: An Updated, Targeted Systematic Review for the USPSTF
- ↑ US Preventive Services Task Force. Barton M (2010). “Screening for obesity in children and adolescents: US Preventive Services Task Force recommendation statement”. Pediatrics. 125 (2): 361–7. doi:10.1542/peds.2009-2037. PMID 20083515.
- ↑ 5.0 5.1 Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, McQueen M, Budaj A, Pais P, Varigos J, Lisheng L, INTERHEART Study Investigators. (2004). “Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study”. Lancet. 364: 937–52. PMID 15364185.
- ↑ Janssen I, Katzmarzyk PT, Ross R (2004). “Waist circumference and not body mass index explains obesity-related health risk”. Am. J. Clin. Nutr. 79 (3): 379–84. PMID 14985210.
- ↑ National Institute for Health and Clinical Excellence. Clinical guideline 43: Obesity: the prevention, identification, assessment and management of overweight and obesity in adults and children. London, 2006.
- ↑ Vanhecke TE, Franklin BA, Lillystone MA, Sandberg KR, deJong AT, Krause KR, Chengelis DL, McCullough PA. Caloric expenditure in the morbidly obese using dual energy X-ray absorptiometry. J Clin Densitomet 2006;9:438-444. PMID 17097530.
- ↑ Jensen MD, Ryan DH, Apovian CM, Ard JD, Comuzzie AG, Donato KA; et al. (2013). “2013 AHA/ACC/TOS Guideline for the Management of Overweight and Obesity in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity Society”. Circulation. doi:10.1161/01.cir.0000437739.71477.ee. PMID 24222017.
- ↑ US Preventive Services Task Force. Grossman DC, Bibbins-Domingo K, Curry SJ, Barry MJ, Davidson KW; et al. (2017). “Screening for Obesity in Children and Adolescents: US Preventive Services Task Force Recommendation Statement”. JAMA. 317 (23): 2417–2426. doi:10.1001/jama.2017.6803. PMID 28632874.
- ↑ Moyer VA, U.S. Preventive Services Task Force (2012). “Screening for and management of obesity in adults: U.S. Preventive Services Task Force recommendation statement”. Ann Intern Med. 157 (5): 373–8. doi:10.7326/0003-4819-157-5-201209040-00475. PMID 22733087.
Natural History, Complications and Prognosis
Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]
Complications
Health consequences can be categorized by the effects of increased fat mass (osteoarthritis, obstructive sleep apnea, social stigmatization) or by the increased number of fat cells (diabetes, cancer, cardiovascular disease, non-alcoholic fatty liver disease).[1][2] Increases in body fat alter the body’s response to insulin, potentially leading to insulin resistance. Increased fat also creates a proinflammatory state, increasing the risk of thrombosis.[2]
| Medical field | Condition | Medical field | Condition |
|---|---|---|---|
| Cardiology | Dermatology | ||
| Endocrinology and Reproductive medicine |
|
Gastrointestinal | |
| Neurology | Oncology[13] | ||
| Psychiatry |
|
Respirology |
|
| Rheumatology and Orthopedics |
|
Urology and Nephrology |
Prognosis
Excessive body weight is associated with various diseases, particularly cardiovascular diseases, diabetes mellitus type 2, obstructive sleep apnea, certain types of cancer, and osteoarthritis.[1] As a result, obesity has been found to reduce life expectancy.[1]
Morbidity
Obesity increases the risk of many physical and mental conditions. These comorbidities are reflected predominantly in metabolic syndrome.[1] Metabolic syndrome being a combination of medical disorders, which includes diabetes mellitus type 2, high blood pressure, high blood cholesterol, and high triglyceride levels.[23]
Complications are either directly caused by obesity or indirectly related through mechanisms sharing a common cause such as a poor diet or a sedentary lifestyle. The strength of the link between obesity and specific conditions varies. One of the strongest is the link with type 2 diabetes. Excess body fat underlies 64% of cases of diabetes in men and 77% of cases in women.[24]
Mortality
Obesity is one of the leading preventable causes of death worldwide.[25] [26][27] Large scale American and European studies have found that mortality risk varies with BMI; the lowest risk is found at a BMI of 22.5–25 kg/m2[28] in non smokers and at a BMI of 24–27 kg/m2 in current smokers and increases with changes in either direction.[29][30] Obesity increases the risk of death in current and former smokers as well as in those who have never smoked.[30] A BMI of over 32 has been associated with a doubled mortality rate among women over a 16-year period[31] and obesity is estimated to cause an excess 111,909 to 365,000 death per year in the United States.[27][1] Obesity on average reduces life expectancy by six to seven years.[32][1] A BMI of 30–35 reduces life expectancy by two to four years[28] while severe obesity (BMI > 40) reduces life expectancy by 20 years for men and five years for women.
Obesity Survival Paradox
Although the negative health consequences of obesity in the general population are well supported by the available evidence, health outcomes in certain subgroups seem to be improved at an increased BMI, a phenomenon known as the obesity survival paradox.[33] The paradox was first described in 1999 in overweight and obese people undergoing hemodialysis,[33] and has subsequently been found in those with heart failure, and peripheral artery disease (PAD).[34]
In people with heart failure, those with a BMI between 30.0–34.9 had lower mortality then those with a normal weight. This has been attributed to the fact that people often lose weight as they become progressively more ill.[35] Similar findings have been made in other types of heart disease. People with class I obesity and heart disease do not have greater rates of further heart problems than people of normal weight who also have heart disease. In people with greater degrees of obesity, however, risk of further events is increased.[36][37] Even after cardiac bypass surgery, no increase in mortality is seen in the overweight and obese.[38] One study found that the improved survival could be explained by the more aggressive treatment obese people receive after a cardiac event.[39] Another found that if one takes into account chronic obstructive pulmonary disease (COPD) in those with PAD the benefit of obesity no longer exsists.[34]
References
- ↑ 1.00 1.01 1.02 1.03 1.04 1.05 1.06 1.07 1.08 1.09 1.10 1.11 1.12 1.13 1.14 1.15 1.16 1.17 1.18 1.19 1.20 1.21 1.22 1.23 1.24 1.25 Haslam DW, James WP (2005). “Obesity”. Lancet. 366 (9492): 1197–209. doi:10.1016/S0140-6736(05)67483-1. PMID 16198769.
- ↑ 2.0 2.1 Bray GA (2004). “Medical consequences of obesity”. J. Clin. Endocrinol. Metab. 89 (6): 2583–9. doi:10.1210/jc.2004-0535. PMID 15181027.
- ↑ Darvall KA, Sam RC, Silverman SH, Bradbury AW, Adam DJ (2007). “Obesity and thrombosis”. Eur J Vasc Endovasc Surg. 33 (2): 223–33. doi:10.1016/j.ejvs.2006.10.006. PMID 17185009. Unknown parameter
|month=ignored (help) - ↑ 4.0 4.1 4.2 4.3 4.4 Yosipovitch G, DeVore A, Dawn A (2007). “Obesity and the skin: skin physiology and skin manifestations of obesity”. J. Am. Acad. Dermatol. 56 (6): 901–16, quiz 917–20. doi:10.1016/j.jaad.2006.12.004. PMID 17504714. Unknown parameter
|month=ignored (help) - ↑ Hahler B (2006). “An overview of dermatological conditions commonly associated with the obese patient”. Ostomy Wound Manage. 52 (6): 34–6, 38, 40 passim. PMID 16799182. Unknown parameter
|month=ignored (help) - ↑ 6.0 6.1 6.2 Arendas K, Qiu Q, Gruslin A (2008). “Obesity in pregnancy: pre-conceptional to postpartum consequences”. J Obstet Gynaecol Can. 30 (6): 477–88. PMID 18611299. Unknown parameter
|month=ignored (help) - ↑ Anand G, Katz PO (2008). “Gastroesophageal reflux disease and obesity”. Rev Gastroenterol Disord. 8 (4): 233–9. PMID 19107097.
- ↑ Harney D, Patijn J (2007). “Meralgia paresthetica: diagnosis and management strategies”. Pain Med. 8 (8): 669–77. doi:10.1111/j.1526-4637.2006.00227.x. PMID 18028045.
- ↑ Bigal ME, Lipton RB (2008). “Obesity and chronic daily headache”. Curr Pain Headache Rep. 12 (1): 56–61. doi:10.1007/s11916-008-0011-8. PMID 18417025. Unknown parameter
|month=ignored (help) - ↑ Sharifi-Mollayousefi A, Yazdchi-Marandi M, Ayramlou H; et al. (2008). “Assessment of body mass index and hand anthropometric measurements as independent risk factors for carpal tunnel syndrome”. Folia Morphol. (Warsz). 67 (1): 36–42. PMID 18335412. Unknown parameter
|month=ignored (help) - ↑ Beydoun MA, Beydoun HA, Wang Y (2008). “Obesity and central obesity as risk factors for incident dementia and its subtypes: A systematic review and meta-analysis”. Obes Rev. 9 (3): 204–18. doi:10.1111/j.1467-789X.2008.00473.x. PMID 18331422. Unknown parameter
|month=ignored (help) - ↑ Wall M (2008). “Idiopathic intracranial hypertension (pseudotumor cerebri)”. Curr Neurol Neurosci Rep. 8 (2): 87–93. doi:10.1007/s11910-008-0015-0. PMID 18460275. Unknown parameter
|month=ignored (help) - ↑ Calle EE, Rodriguez C, Walker-Thurmond K, Thun MJ (2003). “Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults”. N. Engl. J. Med. 348 (17): 1625–38. doi:10.1056/NEJMoa021423. PMID 12711737. Unknown parameter
|month=ignored (help) - ↑ 14.0 14.1 14.2 Poulain M, Doucet M, Major GC; et al. (2006). “The effect of obesity on chronic respiratory diseases: pathophysiology and therapeutic strategies”. CMAJ. 174 (9): 1293–9. doi:10.1503/cmaj.051299. PMC 1435949. PMID 16636330. Unknown parameter
|month=ignored (help) - ↑ Adams JP, Murphy PG (2000). “Obesity in anaesthesia and intensive care”. Br J Anaesth. 85 (1): 91–108. doi:10.1093/bja/85.1.91. PMID 10927998. Unknown parameter
|month=ignored (help) - ↑ Choi HK, Atkinson K, Karlson EW, Curhan G (2005). “Obesity, weight change, hypertension, diuretic use, and risk of gout in men: the health professionals follow-up study”. Arch. Intern. Med. 165 (7): 742–8. doi:10.1001/archinte.165.7.742. PMID 15824292. Unknown parameter
|month=ignored (help) - ↑ Tukker A, Visscher T, Picavet H (2008). “Overweight and health problems of the lower extremities: osteoarthritis, pain and disability”. Public Health Nutr: 1–10. doi:10.1017/S1368980008002103. PMID 18426630. Unknown parameter
|month=ignored (help) - ↑ Molenaar EA, Numans ME, van Ameijden EJ, Grobbee DE (2008). “[Considerable comorbidity in overweight adults: results from the Utrecht Health Project]”. Ned Tijdschr Geneeskd (in Dutch; Flemish). 152 (45): 2457–63. PMID 19051798. Unknown parameter
|month=ignored (help) - ↑ Esposito K, Giugliano F, Di Palo C, Giugliano G, Marfella R, D’Andrea F, D’Armiento M, Giugliano D (2004). “Effect of lifestyle changes on erectile dysfunction in obese men: A randomized controlled trial”. JAMA. 291 (24): 2978–84. doi:10.1001/jama.291.24.2978. PMID 15213209.
- ↑ Hunskaar S (2008). “A systematic review of overweight and obesity as risk factors and targets for clinical intervention for urinary incontinence in women”. Neurourol. Urodyn. 27 (8): 749–57. doi:10.1002/nau.20635. PMID 18951445.
- ↑ Ejerblad E, Fored CM, Lindblad P, Fryzek J, McLaughlin JK, Nyrén O (2006). “Obesity and risk for chronic renal failure”. J. Am. Soc. Nephrol. 17 (6): 1695–702. doi:10.1681/ASN.2005060638. PMID 16641153.
- ↑ Makhsida N, Shah J, Yan G, Fisch H, Shabsigh R (2005). “Hypogonadism and metabolic syndrome: Implications for testosterone therapy”. J. Urol. 174 (3): 827–34. doi:10.1097/01.ju.0000169490.78443.59. PMID 16093964. Unknown parameter
|month=ignored (help) - ↑ Grundy SM (2004). “Obesity, metabolic syndrome, and cardiovascular disease”. J. Clin. Endocrinol. Metab. 89 (6): 2595–600. doi:10.1210/jc.2004-0372. PMID 15181029.
- ↑ Seidell 2005 p.9
- ↑ Barness LA, Opitz JM, Gilbert-Barness E (2007). “Obesity: genetic, molecular, and environmental aspects”. Am. J. Med. Genet. A. 143A (24): 3016–34. doi:10.1002/ajmg.a.32035. PMID 18000969. Unknown parameter
|month=ignored (help) - ↑ Mokdad AH, Marks JS, Stroup DF, Gerberding JL (2004). “Actual causes of death in the United States, 2000” (PDF). JAMA. 291 (10): 1238–45. doi:10.1001/jama.291.10.1238. PMID 15010446. Unknown parameter
|month=ignored (help) - ↑ 27.0 27.1 Allison DB, Fontaine KR, Manson JE, Stevens J, VanItallie TB (1999). “Annual deaths attributable to obesity in the United States”. JAMA. 282 (16): 1530–8. doi:10.1001/jama.282.16.1530. PMID 10546692. Unknown parameter
|month=ignored (help) - ↑ 28.0 28.1 Whitlock G, Lewington S, Sherliker P; et al. (2009). “Body-mass index and cause-specific mortality in 900 000 adults: collaborative analyses of 57 prospective studies”. Lancet. 373 (9669): 1083–96. doi:10.1016/S0140-6736(09)60318-4. PMID 19299006. Unknown parameter
|month=ignored (help) - ↑ Calle EE, Thun MJ, Petrelli JM, Rodriguez C, Heath CW (1999). “Body-mass index and mortality in a prospective cohort of U.S. adults”. N. Engl. J. Med. 341 (15): 1097–105. doi:10.1056/NEJM199910073411501. PMID 10511607. Unknown parameter
|month=ignored (help) - ↑ 30.0 30.1 Pischon T, Boeing H, Hoffmann K; et al. (2008). “General and abdominal adiposity and risk of death in Europe”. N. Engl. J. Med. 359 (20): 2105–20. doi:10.1056/NEJMoa0801891. PMID 19005195. Unknown parameter
|month=ignored (help) - ↑ Manson JE, Willett WC, Stampfer MJ; et al. (1995). “Body weight and mortality among women”. N. Engl. J. Med. 333 (11): 677–85. doi:10.1056/NEJM199509143331101. PMID 7637744.
- ↑ Peeters A, Barendregt JJ, Willekens F, Mackenbach JP, Al Mamun A, Bonneux L (2003). “Obesity in adulthood and its consequences for life expectancy: A life-table analysis” (PDF). Ann. Intern. Med. 138 (1): 24–32. PMID 12513041. Unknown parameter
|month=ignored (help) - ↑ 33.0 33.1 Schmidt DS, Salahudeen AK (2007). “Obesity-survival paradox-still a controversy?”. Semin Dial. 20 (6): 486–92. doi:10.1111/j.1525-139X.2007.00349.x. PMID 17991192.
- ↑ 34.0 34.1 “Behavioral counseling in primary care to promote a healthy diet: recommendations and rationale”. Am Fam Physician. 67 (12): 2573–6. 2003. PMID 12825847. Unknown parameter
|month=ignored (help) - ↑ Habbu A, Lakkis NM, Dokainish H (2006). “The obesity paradox: Fact or fiction?”. Am. J. Cardiol. 98 (7): 944–8. doi:10.1016/j.amjcard.2006.04.039. PMID 16996880. Unknown parameter
|month=ignored (help) - ↑ Romero-Corral A, Montori VM, Somers VK; et al. (2006). “Association of bodyweight with total mortality and with cardiovascular events in coronary artery disease: A systematic review of cohort studies”. Lancet. 368 (9536): 666–78. doi:10.1016/S0140-6736(06)69251-9. PMID 16920472.
- ↑ Oreopoulos A, Padwal R, Kalantar-Zadeh K, Fonarow GC, Norris CM, McAlister FA (2008). “Body mass index and mortality in heart failure: A meta-analysis”. Am. Heart J. 156 (1): 13–22. doi:10.1016/j.ahj.2008.02.014. PMID 18585492. Unknown parameter
|month=ignored (help) - ↑ Oreopoulos A, Padwal R, Norris CM, Mullen JC, Pretorius V, Kalantar-Zadeh K (2008). “Effect of obesity on short- and long-term mortality postcoronary revascularization: A meta-analysis”. Obesity (Silver Spring). 16 (2): 442–50. doi:10.1038/oby.2007.36. PMID 18239657. Unknown parameter
|month=ignored (help) - ↑ Diercks DB, Roe MT, Mulgund J; et al. (2006). “The obesity paradox in non-ST-segment elevation acute coronary syndromes: Results from the Can Rapid risk stratification of Unstable angina patients Suppress ADverse outcomes with Early implementation of the American College of Cardiology/American Heart Association Guidelines Quality Improvement Initiative”. Am Heart J. 152 (1): 140–8. doi:10.1016/j.ahj.2005.09.024. PMID 16824844. Unknown parameter
|month=ignored (help)
Diagnosis
Diagnosis
History and Symptoms | Physical Examination | Laboratory Findings | Electrocardiogram | Chest X Ray | CT | MRI | Echocardiography or Ultrasound | Other Imaging Findings | Other Diagnostic Studies
Treatment
Treatment
Medical Therapy | Surgery | Primary Prevention | Secondary Prevention | Cost-Effectiveness of Therapy | Future or Investigational Therapies
Related Chapters
Related Chapters
- Body image
- Healthy diet
- Human weight
- Junk food
- National Weight Control Registry
- Physical exercise
- Pickwickian syndrome
- Obesity in the United States
- Obesity in India
- Overeaters Anonymous
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