Obesity is a medical condition in which excess body fat has accumulated to the extent that it may have a negative effect on health, leading to reduced life expectancy and/or increased health problems. People are considered obese when their body mass index (BMI), a measurement obtained by dividing a person's weight by the square of the person's height, exceeds 30 kg/m2.
Dieting and physical exercise are the mainstays of treatment for obesity. Diet quality can be improved by reducing the consumption of energy-dense foods such as those high in fat and sugars, and by increasing the intake of dietary fiber. Anti-obesity drugs may be taken to reduce appetite or decrease fat absorption when used together with a suitable diet. If diet, exercise and medication are not effective, a gastric balloon may assist with weight loss, or surgery may be performed to reduce stomach volume and/or bowel length, leading to feeling full earlier and a reduced ability to absorb nutrients from food.
In children, a healthy weight varies with age and sex. Obesity in children and adolescents is defined not as an absolute number but in relation to a historical normal group, such that obesity is a BMI greater than the 95th percentile. The reference data on which these percentiles were based date from 1963 to 1994, and thus have not been affected by the recent increases in weight.
BMI is defined as the subject's weight divided by the square of their height and is calculated as follows.
where m and h are the subject's weight in kilograms and height in meters respectively.
BMI is usually expressed in kilograms per square metre. To convert from pounds per square inch multiply by 703 (kg/m2)/(lb/sq in).
The most commonly used definitions, established by the World Health Organization (WHO) in 1997 and published in 2000, provide the values listed in the table at right.
Some modifications to the WHO definitions have been made by particular bodies. The surgical literature breaks down "class III" obesity into further categories whose exact values are still disputed.
Any BMI ≥ 35 or 40 kg/m2 is severe obesity
A BMI of ≥ 35 kg/m2 and experiencing obesity-related health conditions or ≥40–44.9 kg/m2 is morbid obesity
A BMI of ≥ 45 or 50 kg/m2 is super obesity
As Asian populations develop negative health consequences at a lower BMI than Caucasians, some nations have redefined obesity; the Japanese have defined obesity as any BMI greater than 25 kg/m2 while China uses a BMI of greater than 28 kg/m2.
Relative risk of death over 10 years for white men (left) and women (right) who have never smoked in the United States by BMI.
Obesity is one of the leading preventable causes of death worldwide. Large-scale American and European studies have found that mortality risk is lowest at a BMI of 20–25 kg/m2 in non-smokers and at 24–27 kg/m2 in current smokers, with risk increasing along with changes in either direction. A BMI above 32 kg/m2 has been associated with a doubled mortality rate among women over a 16-year period. In the United States obesity is estimated to cause 111,909 to 365,000 deaths per year, while 1 million (7.7%) of deaths in Europe are attributed to excess weight. On average, obesity reduces life expectancy by six to seven years, a BMI of 30–35 kg/m2 reduces life expectancy by two to four years, while severe obesity (BMI > 40 kg/m2) reduces life expectancy by ten years.
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.
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. The paradox was first described in 1999 in overweight and obese people undergoing hemodialysis, and has subsequently been found in those with heart failure and peripheral artery disease (PAD).
In people with heart failure, those with a BMI between 30.0 and 34.9 had lower mortality than those with a normal weight. This has been attributed to the fact that people often lose weight as they become progressively more ill. 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, the risk of further cardiovascular events is increased. Even after cardiac bypass surgery, no increase in mortality is seen in the overweight and obese. One study found that the improved survival could be explained by the more aggressive treatment obese people receive after a cardiac event. Another found that if one takes into account chronic obstructive pulmonary disease (COPD) in those with PAD, the benefit of obesity no longer exists.
At an individual level, a combination of excessive food energy intake and a lack of physical activity is thought to explain most cases of obesity. A limited number of cases are due primarily to genetics, medical reasons, or psychiatric illness. In contrast, increasing rates of obesity at a societal level are felt to be due to an easily accessible and palatable diet, increased reliance on cars, and mechanized manufacturing.
A 2006 review identified ten other possible contributors to the recent increase of obesity: (1) insufficient sleep, (2) endocrine disruptors (environmental pollutants that interfere with lipid metabolism), (3) decreased variability in ambient temperature, (4) decreased rates of smoking, because smoking suppresses appetite, (5) increased use of medications that can cause weight gain (e.g., atypical antipsychotics), (6) proportional increases in ethnic and age groups that tend to be heavier, (7) pregnancy at a later age (which may cause susceptibility to obesity in children), (8) epigenetic risk factors passed on generationally, (9) natural selection for higher BMI, and (10) assortative mating leading to increased concentration of obesity risk factors (this would increase the number of obese people by increasing population variance in weight). While there is substantial evidence supporting the influence of these mechanisms on the increased prevalence of obesity, the evidence is still inconclusive, and the authors state that these are probably less influential than the ones discussed in the previous paragraph.
Map of dietary energy availability per person per day in 1961 (left) and 2001–2003 (right) Calories per person per day (kilojoules per person per day)
Average per capita energy consumption of the world from 1961 to 2002
Dietary energy supply per capita varies markedly between different regions and countries. It has also changed significantly over time. From the early 1970s to the late 1990s the average food energy available per person per day (the amount of food bought) increased in all parts of the world except Eastern Europe. The United States had the highest availability with 3,654 calories (15,290 kJ) per person in 1996. This increased further in 2003 to 3,754 calories (15,710 kJ). During the late 1990s Europeans had 3,394 calories (14,200 kJ) per person, in the developing areas of Asia there were 2,648 calories (11,080 kJ) per person, and in sub-Saharan Africa people had 2,176 calories (9,100 kJ) per person. Total food energy consumption has been found to be related to obesity.
The widespread availability of nutritional guidelines has done little to address the problems of overeating and poor dietary choice. From 1971 to 2000, obesity rates in the United States increased from 14.5% to 30.9%. During the same period, an increase occurred in the average amount of food energy consumed. For women, the average increase was 335 calories (1,400 kJ) per day (1,542 calories (6,450 kJ) in 1971 and 1,877 calories (7,850 kJ) in 2004), while for men the average increase was 168 calories (700 kJ) per day (2,450 calories (10,300 kJ) in 1971 and 2,618 calories (10,950 kJ) in 2004). Most of this extra food energy came from an increase in carbohydrate consumption rather than fat consumption. The primary sources of these extra carbohydrates are sweetened beverages, which now account for almost 25 percent of daily food energy in young adults in America, and potato chips. Consumption of sweetened drinks is believed to be contributing to the rising rates of obesity.
As societies become increasingly reliant on energy-dense, big-portions, and fast-food meals, the association between fast-food consumption and obesity becomes more concerning. In the United States consumption of fast-food meals tripled and food energy intake from these meals quadrupled between 1977 and 1995.
Agricultural policy and techniques in the United States and Europe have led to lower food prices. In the United States, subsidization of corn, soy, wheat, and rice through the U.S. farm bill has made the main sources of processed food cheap compared to fruits and vegetables.Calorie count laws and nutrition facts labels attempt to steer people toward making healthier food choices, including awareness of how much food energy is being consumed.
Obese people consistently under-report their food consumption as compared to people of normal weight. This is supported both by tests of people carried out in a calorimeter room and by direct observation.
A sedentary lifestyle plays a significant role in obesity. Worldwide there has been a large shift towards less physically demanding work, and currently at least 30% of the world's population gets insufficient exercise. This is primarily due to increasing use of mechanized transportation and a greater prevalence of labor-saving technology in the home. In children, there appear to be declines in levels of physical activity due to less walking and physical education. World trends in active leisure time physical activity are less clear. The World Health Organization indicates people worldwide are taking up less active recreational pursuits, while a study from Finland found an increase and a study from the United States found leisure-time physical activity has not changed significantly.
In both children and adults, there is an association between television viewing time and the risk of obesity. A review found 63 of 73 studies (86%) showed an increased rate of childhood obesity with increased media exposure, with rates increasing proportionally to time spent watching television.
Like many other medical conditions, obesity is the result of an interplay between genetic and environmental factors. Polymorphisms in various genes controlling appetite and metabolism predispose to obesity when sufficient food energy is present. As of 2006, more than 41 of these sites on the human genome have been linked to the development of obesity when a favorable environment is present. People with two copies of the FTO gene (fat mass and obesity associated gene) have been found on average to weigh 3–4 kg more and have a 1.67-fold greater risk of obesity compared with those without the risk allele. The percentage of obesity that can be attributed to genetics varies, depending on the population examined, from 6% to 85%.
Studies that have focused on inheritance patterns rather than on specific genes have found that 80% of the offspring of two obese parents were also obese, in contrast to less than 10% of the offspring of two parents who were of normal weight. Additionally, studies involving obesity in adopted children have demonstrated that there is a strong correlation between the degree of obesity adopted children and their biological parents, while there is little to no correlation with the degree of obesity of the adoptive parents, further suggesting a strong genetic component to obesity.
The thrifty gene hypothesis postulates that, due to dietary scarcity during human evolution, people are prone to obesity. Their ability to take advantage of rare periods of abundance by storing energy as fat would be advantageous during times of varying food availability, and individuals with greater adipose reserves would be more likely to survive famine. This tendency to store fat, however, would be maladaptive in societies with stable food supplies. This theory has received various criticisms, and other evolutionarily-based theories such as the drifty gene hypothesis and the thrifty phenotype hypothesis have also been proposed.
The disease scroll (Yamai no soshi, late 12th century) depicts a woman moneylender with obesity, considered a disease of the rich.
While genetic influences are important to understanding obesity, they cannot explain the current dramatic increase seen within specific countries or globally. Though it is accepted that energy consumption in excess of energy expenditure leads to obesity on an individual basis, the cause of the shifts in these two factors on the societal scale is much debated. There are a number of theories as to the cause but most believe it is a combination of various factors.
The correlation between social class and BMI varies globally. A review in 1989 found that in developed countries women of a high social class were less likely to be obese. No significant differences were seen among men of different social classes. In the developing world, women, men, and children from high social classes had greater rates of obesity. An update of this review carried out in 2007 found the same relationships, but they were weaker. The decrease in strength of correlation was felt to be due to the effects of globalization. Among developed countries, levels of adult obesity, and percentage of teenage children who are overweight, are correlated with income inequality. A similar relationship is seen among US states: more adults, even in higher social classes, are obese in more unequal states.
Many explanations have been put forth for associations between BMI and social class. It is thought that in developed countries, the wealthy are able to afford more nutritious food, they are under greater social pressure to remain slim, and have more opportunities along with greater expectations for physical fitness. In undeveloped countries the ability to afford food, high energy expenditure with physical labor, and cultural values favoring a larger body size are believed to contribute to the observed patterns. Attitudes toward body weight held by people in one's life may also play a role in obesity. A correlation in BMI changes over time has been found among friends, siblings, and spouses. Stress and perceived low social status appear to increase risk of obesity.
Smoking has a significant effect on an individual's weight. Those who quit smoking gain an average of 4.4 kilograms (9.7 lb) for men and 5.0 kilograms (11.0 lb) for women over ten years. However, changing rates of smoking have had little effect on the overall rates of obesity.
In the United States the number of children a person has is related to their risk of obesity. A woman's risk increases by 7% per child, while a man's risk increases by 4% per child. This could be partly explained by the fact that having dependent children decreases physical activity in Western parents.
In the developing world urbanization is playing a role in increasing rate of obesity. In China overall rates of obesity are below 5%; however, in some cities rates of obesity are greater than 20%.
Malnutrition in early life is believed to play a role in the rising rates of obesity in the developing world. Endocrine changes that occur during periods of malnutrition may promote the storage of fat once more food energy becomes available.
Consistent with cognitive epidemiological data, numerous studies confirm that obesity is associated with cognitive deficits. Whether obesity causes cognitive deficits, or vice versa is unclear at present.
The study of the effect of infectious agents on metabolism is still in its early stages. Gut flora has been shown to differ between lean and obese humans. There is an indication that gut flora in obese and lean individuals can affect the metabolic potential. This apparent alteration of the metabolic potential is believed to confer a greater capacity to harvest energy contributing to obesity. Whether these differences are the direct cause or the result of obesity has yet to be determined unequivocally.
An association between viruses and obesity has been found in humans and several different animal species. The amount that these associations may have contributed to the rising rate of obesity is yet to be determined.
A comparison of a mouse unable to produce leptin thus resulting in obesity (left) and a normal mouse (right)
There are 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, insulin, orexin, PYY 3-36, cholecystokinin, adiponectin, as well as 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, most obese individuals are thought to be leptin resistant and have been found to have high levels of leptin. 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 people.
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. 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.
The arcuate nucleus contains two distinct groups of neurons. 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.
The World Health Organization (WHO) predicts that overweight and obesity may soon replace more traditional public health concerns such as undernutrition and infectious diseases as the most significant cause of poor health. Obesity is a public health and policy problem because of its prevalence, costs, and health effects. The United States Preventive Services Task Force recommends screening for all adults followed by behavioral interventions in those who are obese. Public health efforts seek to understand and correct the environmental factors responsible for the increasing prevalence of obesity in the population. Solutions look at changing the factors that cause excess food energy consumption and inhibit physical activity. Efforts include federally reimbursed meal programs in schools, limiting direct junk food marketing to children, and decreasing access to sugar-sweetened beverages in schools. When constructing urban environments, efforts have been made to increase access to parks and to develop pedestrian routes.
Many countries and groups have published reports pertaining to obesity. In 1998 the first US Federal guidelines were published, titled "Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults: The Evidence Report". In 2006 the Canadian Obesity Network published the "Canadian Clinical Practice Guidelines (CPG) on the Management and Prevention of Obesity in Adults and Children". This is a comprehensive evidence-based guideline to address the management and prevention of overweight and obesity in adults and children.
Comprehensive approaches are being looked at to address the rising rates of obesity. The Obesity Policy Action (OPA) framework divides measure into 'upstream' policies, 'midstream' policies, 'downstream' policies. 'Upstream' policies look at changing society, 'midstream' policies try to alter individuals' behavior to prevent obesity, and 'downstream' policies try to treat currently afflicted people.
Orlistat (Xenical), the most commonly used medication to treat obesity, and sibutramine (Meridia), a medication recently withdrawn due to cardiovascular side effects
The main treatment for obesity consists of dieting and physical exercise. Diet programs may produce weight loss over the short term, but maintaining this weight loss is frequently difficult and often requires making exercise and a lower food energy diet a permanent part of a person's lifestyle. Success rates of long-term weight loss maintenance with lifestyle changes are low, ranging from 2–20%. Dietary and lifestyle changes are effective in limiting excessive weight gain in pregnancy and improve outcomes for both the mother and the child.
Three medication, orlistat (Xenical), lorcaserin (Belviq) and a combination of phentermine and topiramate (Qsymia) are currently available and have evidence for long term use. Weight loss with orlistat is modest, an average of 2.9 kg (6.4 lb) at 1 to 4 years. Its use is associated with high rates of gastrointestinal side effects and concerns have been raised about negative effects on the kidneys. The other two medications are available in the United States but not Europe. Lorcaserin results in an average 3.1 kg weight loss (3% of body weight) greater than placebo over a year; however it may increase heart valve problems. A combination of phentermine and topiramate is also somewhat effective; however, it may be associated with heart problems. There is no information on how these drugs affect longer-term complications of obesity such as cardiovascular disease or death.
The most effective treatment for obesity is bariatric surgery. Surgery for severe obesity is associated with long-term weight loss, improvement in obesity related conditions, and decreased overall mortality. One study found a weight loss of between 14% and 25% (depending on the type of procedure performed) at 10 years, and a 29% reduction in all cause mortality when compared to standard weight loss measures. Complications occur in about 17% of cases and reoperation is needed in 7% of cases. Due to its cost and risks, researchers are searching for other effective yet less invasive treatments.
World obesity prevalence among males (left) and females (right).
Before the 20th century, obesity was rare; in 1997 the WHO formally recognized obesity as a global epidemic. As of 2008 the WHO estimates that at least 500 million adults (greater than 10%) are obese, with higher rates among women than men. The rate of obesity also increases with age at least up to 50 or 60 years old and severe obesity in the United States, Australia, and Canada is increasing faster than the overall rate of obesity.
Once considered a problem only of high-income countries, obesity rates are rising worldwide and affecting both the developed and developing world. These increases have been felt most dramatically in urban settings. The only remaining region of the world where obesity is not common is sub-Saharan Africa.
The Greeks were the first to recognize obesity as a medical disorder.Hippocrates wrote that "Corpulence is not only a disease itself, but the harbinger of others". The Indian surgeon Sushruta (6th century BCE) related obesity to diabetes and heart disorders. He recommended physical work to help cure it and its side effects. For most of human history mankind struggled with food scarcity. Obesity has thus historically been viewed as a sign of wealth and prosperity. It was common among high officials in Europe in the Middle Ages and the Renaissance as well as in Ancient East Asian civilizations.
With the onset of the industrial revolution it was realized that the military and economic might of nations were dependent on both the body size and strength of their soldiers and workers. Increasing the average body mass index from what is now considered underweight to what is now the normal range played a significant role in the development of industrialized societies. Height and weight thus both increased through the 19th century in the developed world. During the 20th century, as populations reached their genetic potential for height, weight began increasing much more than height, resulting in obesity. In the 1950s increasing wealth in the developed world decreased child mortality, but as body weight increased heart and kidney disease became more common. During this time period insurance companies realized the connection between weight and life expectancy and increased premiums for the obese.
Many cultures throughout history have viewed obesity as the result of a character flaw. The obesus or fat character in Greek comedy was a glutton and figure of mockery. During Christian times food was viewed as a gateway to the sins of sloth and lust. In modern Western culture, excess weight is often regarded as unattractive, and obesity is commonly associated with various negative stereotypes. People of all ages can face social stigmatization, and may be targeted by bullies or shunned by their peers. Obesity is once again a reason for discrimination.
Public perceptions in Western society regarding healthy body weight differ from those regarding the weight that is considered ideal – and both have changed since the beginning of the 20th century. The weight that is viewed as an ideal has become lower since the 1920s. This is illustrated by the fact that the average height of Miss America pageant winners increased by 2% from 1922 to 1999, while their average weight decreased by 12%. On the other hand, people's views concerning healthy weight have changed in the opposite direction. In Britain the weight at which people considered themselves to be overweight was significantly higher in 2007 than in 1999. These changes are believed to be due to increasing rates of adiposity leading to increased acceptance of extra body fat as being normal.
Obesity is still seen as a sign of wealth and well-being in many parts of Africa. This has become particularly common since the HIV epidemic began.
The first sculptural representations of the human body 20,000–35,000 years ago depict obese females. Some attribute the Venus figurines to the tendency to emphasize fertility while others feel they represent "fatness" in the people of the time. Corpulence is, however, absent in both Greek and Roman art, probably in keeping with their ideals regarding moderation. This continued through much of Christian European history, with only those of low socioeconomic status being depicted as obese.
During the Renaissance some of the upper class began flaunting their large size, as can be seen in portraits of Henry VIII of England and Alessandro del Borro.Rubens (1577–1640) regularly depicted full-bodied women in his pictures, from which derives the term Rubenesque. These women, however, still maintained the "hourglass" shape with its relationship to fertility. During the 19th century, views on obesity changed in the Western world. After centuries of obesity being synonymous with wealth and social status, slimness began to be seen as the desirable standard.
Society and culture
In addition to its health impacts, obesity leads to many problems including disadvantages in employment and increased business costs. These effects are felt by all levels of society from individuals, to corporations, to governments.
In 2005, the medical costs attributable to obesity in the US were an estimated $190.2 billion or 20.6% of all medical expenditures, while the cost of obesity in Canada was estimated at CA$2 billion in 1997 (2.4% of total health costs). The total annual direct cost of overweight and obesity in Australia in 2005 was A$21 billion. Overweight and obese Australians also received A$35.6 billion in government subsidies. The estimate range for annual expenditures on diet products is $40 billion to $100 billion in the US alone.
Obesity prevention programs have been found to reduce the cost of treating obesity-related disease. However, the longer people live, the more medical costs they incur. Researchers therefore conclude that reducing obesity may improve the public's health, but it is unlikely to reduce overall health spending.
Services must accommodate obese people with specialist equipment such as much wider chairs.
Obesity can lead to social stigmatization and disadvantages in employment. When compared to their normal weight counterparts, obese workers on average have higher rates of absenteeism from work and take more disability leave, thus increasing costs for employers and decreasing productivity. A study examining Duke University employees found that people with a BMI over 40 kg/m2 filed twice as many workers' compensation claims as those whose BMI was 18.5–24.9 kg/m2. They also had more than 12 times as many lost work days. The most common injuries in this group were due to falls and lifting, thus affecting the lower extremities, wrists or hands, and backs. The Alabama State Employees' Insurance Board approved a controversial plan to charge obese workers $25 a month for health insurance that would otherwise be free unless they take steps to lose weight and improve their health. These measures started in January 2010 and apply to those state workers whose BMI exceeds 35 kg/m2 and who fail to make improvements in their health after one year.
Some research shows that obese people are less likely to be hired for a job and are less likely to be promoted. Obese people are also paid less than their non-obese counterparts for an equivalent job; obese women on average make 6% less and obese men make 3% less.
Specific industries, such as the airline, healthcare and food industries, have special concerns. Due to rising rates of obesity, airlines face higher fuel costs and pressures to increase seating width. In 2000, the extra weight of obese passengers cost airlines US$275 million. The healthcare industry has had to invest in special facilities for handling severely obese patients, including special lifting equipment and bariatric ambulances. Costs for restaurants are increased by litigation accusing them of causing obesity. In 2005 the US Congress discussed legislation to prevent civil lawsuits against the food industry in relation to obesity; however, it did not become law.
With the American Medical Association's 2013 classification of obesity as chronic disease, it is thought that health insurance companies will more likely pay for obesity treatment, counseling and surgery, and the cost of research and development of fat treatment pills or gene therapy treatments should be more affordable if insurers help to subsidize their cost. The AMA classification is not legally binding, however, so health insurers still have the right to reject coverage for a treatment or procedure.
The principal goal of the fat acceptance movement is to decrease discrimination against people who are overweight and obese. However, some in the movement are also attempting to challenge the established relationship between obesity and negative health outcomes.
A number of organizations exist that promote the acceptance of obesity. They have increased in prominence in the latter half of the 20th century. The US-based National Association to Advance Fat Acceptance (NAAFA) was formed in 1969 and describes itself as a civil rights organization dedicated to ending size discrimination.
The International Size Acceptance Association (ISAA) is a non-governmental organization (NGO) which was founded in 1997. It has more of a global orientation and describes its mission as promoting size acceptance and helping to end weight-based discrimination. These groups often argue for the recognition of obesity as a disability under the US Americans With Disabilities Act (ADA). The American legal system, however, has decided that the potential public health costs exceed the benefits of extending this anti-discrimination law to cover obesity.
The healthy BMI range varies with the age and sex of the child. Obesity in children and adolescents is defined as a BMI greater than the 95th percentile. The reference data that these percentiles are based on is from 1963 to 1994 and thus has not been affected by the recent increases in rates of obesity. Childhood obesity has reached epidemic proportions in 21st century, with rising rates in both the developed and developing world. Rates of obesity in Canadian boys have increased from 11% in 1980s to over 30% in 1990s, while during this same time period rates increased from 4 to 14% in Brazilian children.
As with obesity in adults, many different factors contribute to the rising rates of childhood obesity. Changing diet and decreasing physical activity are believed to be the two most important in causing the recent increase in the rates. Because childhood obesity often persists into adulthood and is associated with numerous chronic illnesses, children who are obese are often tested for hypertension, diabetes, hyperlipidemia, and fatty liver. Treatments used in children are primarily lifestyle interventions and behavioral techniques, although efforts to increase activity in children have had little success. In the United States, medications are not FDA approved for use in this age group.
Obesity in pets is common in many countries. Rates of overweight and obesity in dogs in the United States range from 23 to 41% with about 5.1% obese. Rates of obesity in cats was slightly higher at 6.4%. In Australia the rate of obesity among dogs in a veterinary setting has been found to be 7.6%. The risk of obesity in dogs is related to whether or not their owners are obese; however, there is no similar correlation between cats and their owners.
^Imaz I, Martínez-Cervell C, García-Alvarez EE, Sendra-Gutiérrez JM, González-Enríquez J (July 2008). "Safety and effectiveness of the intragastric balloon for obesity. A meta-analysis". Obes Surg18 (7): 841–6. doi:10.1007/s11695-007-9331-8. PMID18459025.
^ abBarness LA, Opitz JM, Gilbert-Barness E (December 2007). "Obesity: genetic, molecular, and environmental aspects". American Journal of Medical Genetics143A (24): 3016–34. doi:10.1002/ajmg.a.32035. PMID18000969.
^Kanazawa M, Yoshiike N, Osaka T, Numba Y, Zimmet P, Inoue S (December 2002). "Criteria and classification of obesity in Japan and Asia-Oceania". Asia Pac J Clin Nutr. 11 Suppl 8: S732–S737. doi:10.1046/j.1440-6047.11.s8.19.x. PMID12534701.
^Bei-Fan Z (December 2002). "Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults: study on optimal cut-off points of body mass index and waist circumference in Chinese adults". Asia Pac J Clin Nutr. 11 Suppl 8: S685–93. doi:10.1046/j.1440-6047.11.s8.9.x. PMID12534691.
^ abBerrington de Gonzalez A, Hartge P, Cerhan JR, Flint AJ, Hannan L, MacInnis RJ, Moore SC, Tobias GS, Anton-Culver H, Freeman LB, Beeson WL, Clipp SL, English DR, Folsom AR, Freedman DM, Giles G, Hakansson N, Henderson KD, Hoffman-Bolton J, Hoppin JA, Koenig KL, Lee IM, Linet MS, Park Y, Pocobelli G, Schatzkin A, Sesso HD, Weiderpass E, Willcox BJ, Wolk A, Zeleniuch-Jacquotte A, Willett WC, Thun MJ (2010). "Body-mass index and mortality among 1.46 million white adults". The New England Journal of Medicine363 (23): 2211–9. doi:10.1056/NEJMoa1000367. PMC3066051. PMID21121834.
^Pischon T, Boeing H, Hoffmann K, Bergmann M, Schulze MB, Overvad K, van der Schouw YT, Spencer E, Moons KG, Tjønneland A, et al. (November 2008). "General and abdominal adiposity and risk of death in Europe". N. Engl. J. Med.359 (20): 2105–20. doi:10.1056/NEJMoa0801891. PMID19005195.
^Manson JE, Willett WC, Stampfer MJ, Colditz GA, Hunter DJ, Hankinson SE, Hennekens CH, Speizer FE (1995). "Body weight and mortality among women". N. Engl. J. Med.333 (11): 677–85. doi:10.1056/NEJM199509143331101. PMID7637744.
^Fried M, Hainer V, Basdevant A, Buchwald H, Deitel M, Finer N, Greve JW, Horber F, Mathus-Vliegen E, Scopinaro N, Steffen R, Tsigos C, Weiner R, Widhalm K (April 2007). "Inter-disciplinary European guidelines on surgery of severe obesity". Int J Obes (Lond)31 (4): 569–77. doi:10.1038/sj.ijo.0803560. PMID17325689.
^Dentali F, Squizzato A, Ageno W (July 2009). "The metabolic syndrome as a risk factor for venous and arterial thrombosis". Semin. Thromb. Hemost.35 (5): 451–7. doi:10.1055/s-0029-1234140. PMID19739035.
^Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F, McQueen M, Budaj A, Pais P, Varigos J, Lisheng L (2004). "Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): Case-control study". Lancet364 (9438): 937–52. doi:10.1016/S0140-6736(04)17018-9. PMID15364185.
^Sharifi-Mollayousefi A, Yazdchi-Marandi M, Ayramlou H, Heidari P, Salavati A, Zarrintan S, Sharifi-Mollayousefi A (February 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. PMID18335412.
^Beydoun MA, Beydoun HA, Wang Y (May 2008). "Obesity and central obesity as risk factors for incident dementia and its subtypes: A systematic review and meta-analysis". Obes Rev9 (3): 204–18. doi:10.1111/j.1467-789X.2008.00473.x. PMID18331422.
^Calle EE, Rodriguez C, Walker-Thurmond K, Thun MJ (April 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. PMID12711737.
^Choi HK, Atkinson K, Karlson EW, Curhan G (April 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. PMID15824292.
^Tukker A, Visscher TL, Picavet HS (April 2008). "Overweight and health problems of the lower extremities: osteoarthritis, pain and disability". Public Health Nutr12 (3): 1–10. doi:10.1017/S1368980008002103. PMID18426630.
^Molenaar EA, Numans ME, van Ameijden EJ, Grobbee DE (November 2008). "[Considerable comorbidity in overweight adults: results from the Utrecht Health Project]". Ned Tijdschr Geneeskd (in Dutch; Flemish) 152 (45): 2457–63. PMID19051798.
^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". JAMA291 (24): 2978–84. doi:10.1001/jama.291.24.2978. PMID15213209.
^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. PMID18951445.
^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. PMID16641153.
^Romero-Corral A, Montori VM, Somers VK, Korinek J, Thomas RJ, Allison TG, Mookadam F, Lopez-Jimenez F (2006). "Association of bodyweight with total mortality and with cardiovascular events in coronary artery disease: A systematic review of cohort studies". Lancet368 (9536): 666–78. doi:10.1016/S0140-6736(06)69251-9. PMID16920472.
^Oreopoulos A, Padwal R, Kalantar-Zadeh K, Fonarow GC, Norris CM, McAlister FA (July 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. PMID18585492.
^Oreopoulos A, Padwal R, Norris CM, Mullen JC, Pretorius V, Kalantar-Zadeh K (February 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. PMID18239657.
^Diercks DB, Roe MT, Mulgund J, Pollack CV, Kirk JD, Gibler WB, Ohman EM, Smith SC, Boden WE, Peterson ED (July 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 J152 (1): 140–8. doi:10.1016/j.ahj.2005.09.024. PMID16824844.
^Lin BH, Guthrie J and Frazao E (1999). "Nutrient contribution of food away from home". In Frazão E. Agriculture Information Bulletin No. 750: America's Eating Habits: Changes and Consequences. Washington, DC: US Department of Agriculture, Economic Research Service. pp. 213–239.
^Borodulin K, Laatikainen T, Juolevi A, Jousilahti P (June 2008). "Thirty-year trends of physical activity in relation to age, calendar time and birth cohort in Finnish adults". Eur J Public Health18 (3): 339–44. doi:10.1093/eurpub/ckm092. PMID17875578.
^Gortmaker SL, Must A, Sobol AM, Peterson K, Colditz GA, Dietz WH (April 1996). "Television viewing as a cause of increasing obesity among children in the United States, 1986–1990". Arch Pediatr Adolesc Med150 (4): 356–62. doi:10.1001/archpedi.1996.02170290022003. PMID8634729.
^Vioque J, Torres A, Quiles J (December 2000). "Time spent watching television, sleep duration and obesity in adults living in Valencia, Spain". Int. J. Obes. Relat. Metab. Disord.24 (12): 1683–8. doi:10.1038/sj.ijo.0801434. PMID11126224.
^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. PMID14660491.
^Wells JC (2009). "Thrift: A guide to thrifty genes, thrifty phenotypes and thrifty norms". International Journal of Obesity33 (12): 1331–1338. doi:10.1038/ijo.2009.175. PMID19752875.
^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. doi:10.1111/j.1365-2265.1993.tb00974.x. PMID8435887.
^Zametkin AJ, Zoon CK, Klein HW, Munson S (February 2004). "Psychiatric aspects of child and adolescent obesity: a review of the past 10 years". J Am Acad Child Adolesc Psychiatry43 (2): 134–50. doi:10.1097/00004583-200402000-00008. PMID14726719.
^Chiles C, van Wattum PJ (2010). "Psychiatric aspects of the obesity crisis". Psychiatr Times27 (4): 47–51.
^Yach D, Stuckler D, Brownell KD (January 2006). "Epidemiologic and economic consequences of the global epidemics of obesity and diabetes". Nat. Med.12 (1): 62–6. doi:10.1038/nm0106-62. PMID16397571.
^Goodman E, Adler NE, Daniels SR, Morrison JA, Slap GB, Dolan LM (2003). "Impact of objective and subjective social status on obesity in a biracial cohort of adolescents". Obesity Reviews11 (8): 1018–26. doi:10.1038/oby.2003.140. PMID12917508.
^Weng HH, Bastian LA, Taylor DH, Moser BK, Ostbye T (2004). "Number of children associated with obesity in middle-aged women and men: results from the health and retirement study". J Women's Health (Larchmt)13 (1): 85–91. doi:10.1089/154099904322836492. PMID15006281.
^DiBaise JK, Zhang H, Crowell MD, Krajmalnik-Brown R, Decker GA, Rittmann BE (April 2008). "Gut microbiota and its possible relationship with obesity". Mayo Clinic proceedings. Mayo Clinic83 (4): 460–9. doi:10.4065/83.4.460. PMID18380992.
^Shick SM, Wing RR, Klem ML, McGuire MT, Hill JO, Seagle H (April 1998). "Persons successful at long-term weight loss and maintenance continue to consume a low-energy, low-fat diet". J Am Diet Assoc98 (4): 408–13. doi:10.1016/S0002-8223(98)00093-5. PMID9550162.
^ abYanovski SZ, Yanovski JA (Jan 1, 2014). "Long-term drug treatment for obesity: a systematic and clinical review.". JAMA : the journal of the American Medical Association311 (1): 74–86. doi:10.1001/jama.2013.281361. PMID24231879.
^ abcWolfe SM (21 August 2013). "When EMA and FDA decisions conflict: differences in patients or in regulation?". BMJ (Clinical research ed.)347: f5140. doi:10.1136/bmj.f5140. PMID23970394.
^Bays HE (March 2011). "Lorcaserin: drug profile and illustrative model of the regulatory challenges of weight-loss drug development". Expert review of cardiovascular therapy9 (3): 265–77. doi:10.1586/erc.10.22. PMID21438803.
^ abChang SH, Stoll CR, Song J, Varela JE, Eagon CJ, Colditz GA (2014). "The effectiveness and risks of bariatric surgery: an updated systematic review and meta-analysis, 2003-2012". JAMA Surgery149 (3): 275–87. doi:10.1001/jamasurg.2013.3654. PMID24352617.
^Sjöström L, Narbro K, Sjöström CD, Karason K, Larsson B, Wedel H, Lystig T, Sullivan M, Bouchard C, Carlsson B, Bengtsson C, Dahlgren S, Gummesson A, Jacobson P, Karlsson J, Lindroos AK, Lönroth H, Näslund I, Olbers T, Stenlöf K, Torgerson J, Agren G, Carlsson LM (August 2007). "Effects of bariatric surgery on mortality in Swedish obese subjects". N. Engl. J. Med.357 (8): 741–52. doi:10.1056/NEJMoa066254. PMID17715408.
^Howard NJ, Taylor AW, Gill TK, Chittleborough CR (2008). "Severe obesity: Investigating the socio-demographics within the extremes of body mass index". Obesity Research & Clinical Practice2 (1): I–II. doi:10.1016/j.orcp.2008.01.001. PMID24351678.
^Fumento, Michael (1997). The Fat of the Land: Our Health Crisis and How Overweight Americans Can Help Themselves. Penguin (Non-Classics). p. 126. ISBN0-14-026144-3.
^ abPuhl R., Henderson K., and Brownell K. 2005 p.29
^Johansson E, Böckerman P, Kiiskinen U, Heliövaara M (2009). "Obesity and labour market success in Finland: The difference between having a high BMI and being fat". Economics and Human Biology7 (1): 36–45. doi:10.1016/j.ehb.2009.01.008. PMID19249259.
^Ostbye T, Dement JM, Krause KM (2007). "Obesity and workers' compensation: Results from the Duke Health and Safety Surveillance System". Arch. Intern. Med.167 (8): 766–73. doi:10.1001/archinte.167.8.766. PMID17452538.
^ abFlynn MA, McNeil DA, Maloff B, Mutasingwa D, Wu M, Ford C, Tough SC (February 2006). "Reducing obesity and related chronic disease risk in children and youth: a synthesis of evidence with 'best practice' recommendations". Obes Rev. 7 Suppl 1: 7–66. doi:10.1111/j.1467-789X.2006.00242.x. PMID16371076.
^Metcalf B, Henley W, Wilkin T (2012). "Effectiveness of intervention on physical activity of children: systematic review and meta-analysis of controlled trials with objectively measured outcomes (EarlyBird 54)". BMJ (Clinical Research Ed.)345: e5888. doi:10.1136/bmj.e5888. PMID23044984.
^McGreevy PD, Thomson PC, Pride C, Fawcett A, Grassi T, Jones B (May 2005). "Prevalence of obesity in dogs examined by Australian veterinary practices and the risk factors involved". Vet. Rec.156 (22): 695–702. PMID15923551.
Bhargava A, Guthrie JF (2002). "Unhealthy eating habits, physical exercise and macronutrient intakes are predictors of anthropometric indicators in the Women's Health Trial: Feasibility Study in Minority Populations". British Journal of Nutrition88 (6): 719–728. doi:10.1079/BJN2002739. PMID12493094.
Bhargava A (2006). "Fiber intakes and anthropometric measures are predictors of circulating hormone, triglyceride, and cholesterol concentration in the Women's Health Trial". Journal of Nutrition136 (8): 2249–2254. PMID16857849.
Jebb S. and Wells J. Measuring body composition in adults and children In:Peter G. Kopelman, Ian D. Caterson, Michael J. Stock, William H. Dietz (2005). Clinical obesity in adults and children: In Adults and Children. Blackwell Publishing. pp. 12–28. ISBN1-4051-1672-2.
Kopelman P., Caterson I. An overview of obesity management In:Peter G. Kopelman, Ian D. Caterson, Michael J. Stock, William H. Dietz (2005). Clinical obesity in adults and children: In Adults and Children. Blackwell Publishing. pp. 319–326. ISBN1-4051-1672-2.
Puhl R., Henderson K., and Brownell K. Social consequences of obesity In:Peter G. Kopelman, Ian D. Caterson, Michael J. Stock, William H. Dietz (2005). Clinical obesity in adults and children: In Adults and Children. Blackwell Publishing. pp. 29–45. ISBN1-4051-1672-2.
Seidell JC. Epidemiology — definition and classification of obesity In:Peter G. Kopelman, Ian D. Caterson, Michael J. Stock, William H. Dietz (2005). Clinical obesity in adults and children: In Adults and Children. Blackwell Publishing. pp. 3–11. ISBN1-4051-1672-2.