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Obesity is a medical condition, sometimes considered a disease, in which excess body fat has accumulated to such an extent that it negatively affects health. People are classified as obese when their body mass index (BMI)—a person’s weight divided by the square of the person’s height—is over 30 kg/m2; the range 25–30 kg/m2 is defined as overweight.[1] Some East Asian countries use lower values to calculate obesity.[11] Obesity is a major cause of disability and is correlated with various diseases and conditions, particularly cardiovascular diseases, type 2 diabetes, obstructive sleep apnea, certain types of cancer, and osteoarthritis.
Obesity has individual, socioeconomic, and environmental causes. Some known causes are diet, physical activity, automation, urbanization, genetic susceptibility, medications, mental disorders, economic policies, endocrine disorders, and exposure to endocrine-disrupting chemicals.
While a majority of obese individuals at any given time attempt to lose weight and are often successful, maintaining weight loss long-term is rare. There is no effective, well-defined, evidence-based intervention for preventing obesity. Obesity prevention requires a complex approach, including interventions at societal, community, family, and individual levels. Changes to diet as well as exercising are the main treatments recommended by health professionals. Diet quality can be improved by reducing the consumption of energy-dense foods, such as those high in fat or sugars, and by increasing the intake of dietary fiber, if these dietary choices are available, affordable, and accessible. Medications can be used, along with a suitable diet, to reduce appetite or decrease fat absorption. If diet, exercise, and medication are not effective, a gastric balloon or surgery may be performed to reduce stomach volume or length of the intestines, leading to feeling full earlier, or a reduced ability to absorb nutrients from food.
Obesity is a leading preventable cause of death worldwide, with increasing rates in adults and children. In 2015, 600 million adults (12%) and 100 million children were obese in 195 countries. Obesity is more common in women than in men. Today, obesity is stigmatized in most of the world. Conversely, some cultures, past and present, have a favorable view of obesity, seeing it as a symbol of wealth and fertility. Nevertheless, in 2013, several medical societies, including the American Medical Association and the American Heart Association, classified obesity as a disease.
Classification
Category[23] | BMI (kg/m2) |
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Underweight | < 18.5 |
Normal weight | 18.5 – 24.9 |
Overweight | 25.0 – 29.9 |
Obese (class I) | 30.0 – 34.9 |
Obese (class II) | 35.0 – 39.9 |
Obese (class III) | ≥ 40.0 |
Obesity is typically defined as a substantial accumulation of body fat that could impact health. Medical organizations tend to classify people as obese based on body mass index (BMI) – a ratio of a person’s weight in kilograms to the square of their height in meters. For adults, the World Health Organization (WHO) defines “overweight” as a BMI 25 or higher, and “obese” as a BMI 30 or higher. The U.S. Centers for Disease Control and Prevention (CDC) further subdivides obesity based on BMI, with a BMI 30 to 35 called class 1 obesity; 35 to 40, class 2 obesity; and 40+, class 3 obesity.
For children, obesity measures take age into consideration along with height and weight. For children aged 5–19, the WHO defines obesity as a BMI two standard deviations above the median for their age (a BMI around 18 for a five-year old; around 30 for a 19-year old). For children under five, the WHO defines obesity as a weight three standard deviations above the median for their height.
Some modifications to the WHO definitions have been made by particular organizations. The surgical literature breaks down class II and III or only 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 or 45 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; Japan has defined obesity as any BMI greater than 25 kg/m2[11] while China uses a BMI of greater than 28 kg/m2.[27]
The preferred obesity metric in scholarly circles is the body fat percentage (BF%) – the ratio of the total weight of person’s fat to his or her body weight, and BMI is viewed merely as a way to approximate BF%.[29] Levels in excess of 32% for women and 25% for men are generally considered to indicate obesity.
BMI ignores variations between individuals in amounts of lean body mass, particularly muscle mass. Individuals involved in heavy physical labor or sports may have high BMI values despite having little fat. For example, more than half of all NFL players are classified as “obese” (BMI ≥ 30), and 1 in 4 are classified as “extremely obese” (BMI ≥ 35), according to the BMI metric.[30] However, their mean body fat percentage, 14%, is well within what is considered a healthy range.[31] Similarly, Sumo wrestlers may be categorized by BMI as “severely obese” or “very severely obese” but many Sumo wrestlers are not categorized as obese when body fat percentage is used instead (having <25% body fat).[32] Some Sumo wrestlers were found to have no more body fat than a non-Sumo comparison group, with high BMI values resulting from their high amounts of lean body mass.
Effects on health
Obesity increases a person’s risk of developing various metabolic diseases, cardiovascular disease, osteoarthritis, Alzheimer disease, depression, and certain types of cancer. Depending on the degree of obesity and the presence of comorbid disorders, obesity is associated with an estimated 2–20 year shorter life expectancy. High BMI is a marker of risk for, but not a direct cause of, diseases caused by diet and physical activity.
Mortality
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Obesity is one of the leading preventable causes of death worldwide. The 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. This appears to apply in at least four continents. Other research suggests that the association of BMI and waist circumference with mortality is U- or J-shaped, while the association between waist-to-hip ratio and waist-to-height ratio with mortality is more positive. In Asians the risk of negative health effects begins to increase between 22 and 25 kg/m2. In 2021, the World Health Organization estimated that obesity caused at least 2.8 million deaths annually. 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,[34] while severe obesity (BMI ≥ 40 kg/m2) reduces life expectancy by ten years.[34]
Morbidity
Obesity increases the risk of many physical and mental conditions. These comorbidities are most commonly shown in metabolic syndrome,[2] a combination of medical disorders which includes: diabetes mellitus type 2, high blood pressure, high blood cholesterol, and high triglyceride levels.[47] A study from the RAK Hospital found that obese people are at a greater risk of developing long COVID.[48] The CDC has found that obesity is the single strongest risk factor for severe COVID-19 illness.
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.
Health consequences fall into two broad categories: those attributable to the effects of increased fat mass (such as osteoarthritis, obstructive sleep apnea, social stigmatization) and those due to the increased number of fat cells (diabetes, cancer, cardiovascular disease, non-alcoholic fatty liver disease). Increases in body fat alter the body’s response to insulin, potentially leading to insulin resistance. Increased fat also creates a proinflammatory state, and a prothrombotic state.
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Parts of this article (those related to table below) need to be updated. Please help update this article to reflect recent events or newly available information. (March 2022)
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Medical field | Condition | Medical field | Condition |
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Cardiology |
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Dermatology |
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Endocrinology and reproductive medicine |
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Gastroenterology |
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Neurology |
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Oncology[68] |
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Psychiatry |
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Respirology |
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Rheumatology and orthopedics |
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Urology and Nephrology |
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Metrics of health
Newer research has focused on methods of identifying healthier obese people by clinicians, and not treating obese people as a monolithic group.[79] Obese people who do not experience medical complications from their obesity are sometimes called (metabolically) healthy obese, but the extent to which this group exists (especially among older people) is in dispute.[80] The number of people considered metabolically healthy depends on the definition used, and there is no universally accepted definition.[81] There are numerous obese people who have relatively few metabolic abnormalities, and a minority of obese people have no medical complications.[81] The guidelines of the American Association of Clinical Endocrinologists call for physicians to use risk stratification with obese patients when considering how to assess their risk of developing type 2 diabetes.[82]: 59–60
In 2014, the BioSHaRE–EU Healthy Obese Project (sponsored by Maelstrom Research, a team under the Research Institute of the McGill University Health Centre) came up with two definitions for healthy obesity, one more strict and one less so:[80][83]
Less strict | More strict | |
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Blood pressure measured as follows, with no pharmaceutical help | ||
Overall (mmHg) | ≤ 140 | ≤ 130 |
Systolic (mmHg) | N/A | ≤ 85 |
Diastolic (mmHg) | ≤ 90 | N/A |
Blood sugar level measured as follows, with no pharmaceutical help | ||
Blood glucose (mmol/L) | ≤ 7.0 | ≤ 6.1 |
Triglycerides measured as follows, with no pharmaceutical help | ||
Fasting (mmol/L) | ≤ 1.7 | |
Non-fasting (mmol/L) | ≤ 2.1 | |
High-density lipoprotein measured as follows, with no pharmaceutical help | ||
Men (mmol/L) | > 1.03 | |
Women (mmol/L) | > 1.3 | |
No diagnosis of any cardiovascular disease |
To come up with these criteria, BioSHaRE controlled for age and tobacco use, researching how both may effect the metabolic syndrome associated with obesity, but not found to exist in the metabolically healthy obese.[84] Other definitions of metabolically healthy obesity exist, including ones based on waist circumference rather than BMI, which is unreliable in certain individuals.[81]
Another identification metric for health in obese people is calf strength, which is positively correlated with physical fitness in obese people.[85] Body composition in general is hypothesized to help explain the existence of metabolically healthy obesity—the metabolically healthy obese are often found to have low amounts of ectopic fat (fat stored in tissues other than adipose tissue) despite having overall fat mass equivalent in weight to obese people with metabolic syndrome.[86]: 1282
Survival paradox
Although the negative health consequences of obesity in the general population are well supported by the available research evidence, health outcomes in certain subgroups seem to be improved at an increased BMI, a phenomenon known as the obesity survival paradox.[87] The paradox was first described in 1999 in overweight and obese people undergoing hemodialysis[87] and has subsequently been found in those with heart failure and peripheral artery disease (PAD).[88]
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.[89] 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.[90][91] Even after cardiac bypass surgery, no increase in mortality is seen in the overweight and obese.[92] One study found that the improved survival could be explained by the more aggressive treatment obese people receive after a cardiac event.[93] Another study found that if one takes into account chronic obstructive pulmonary disease (COPD) in those with PAD, the benefit of obesity no longer exists.[88]
Causes
The “a calorie is a calorie” model of obesity posits a combination of excessive food energy intake and a lack of physical activity as the cause of most cases of obesity.[94] A limited number of cases are due primarily to genetics, medical reasons, or psychiatric illness.[15] In contrast, increasing rates of obesity at a societal level are felt to be due to an easily accessible and palatable diet,[95] increased reliance on cars, and mechanized manufacturing.[96][97]
Other possible contributors to the recent increase of obesity are: (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).[98] According to the Endocrine Society, there is “growing evidence suggesting that obesity is a disorder of the energy homeostasis system, rather than simply arising from the passive accumulation of excess weight”.[99] Societal pressure to diet as a means of maintaining or losing weight has also been suggested as a possible contributor.[100]
Diet
Excess appetite for palatable, high-calorie food (especially fat, sugar, and certain animal proteins) is seen as the primary factor driving obesity worldwide, likely because of imbalances in neurotransmitters affecting the drive to eat.[102] Dietary energy supply per capita varies markedly between different regions and countries. It has also changed significantly over time.[101] 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.[101] This increased further in 2003 to 3,754 calories (15,710 kJ).[101] 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.[101][103] Total food energy consumption has been found to be related to obesity.[104]
The widespread availability of dietary guidelines[105] has done little to address the problems of overeating and poor dietary choice.[106] From 1971 to 2000, obesity rates in the United States increased from 14.5% to 30.9%.[107] 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.[108] 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,[109] and potato chips.[110] Consumption of sweetened beverages such as soft drinks, fruit drinks, and iced tea is believed to be contributing to the rising rates of obesity[111][112] and to an increased risk of metabolic syndrome and type 2 diabetes.[113] Vitamin D deficiency is related to diseases associated with obesity.[114]
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.[115] In the United States, consumption of fast-food meals tripled and food energy intake from these meals quadrupled between 1977 and 1995.[116]
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.[117] 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.[118] This is supported both by tests of people carried out in a calorimeter room[119] and by direct observation.
Sedentary lifestyle
A sedentary lifestyle may play a significant role in obesity.[120] Worldwide there has been a large shift towards less physically demanding work,[121][122][123] and currently at least 30% of the world’s population gets insufficient exercise.[122] This is primarily due to increasing use of mechanized transportation and a greater prevalence of labor-saving technology in the home.[121][122][123] In children, there appear to be declines in levels of physical activity (with particularly strong declines in the amount of walking and physical education), likely due to safety concerns, changes in social interaction (such as fewer relationships with neighborhood children), and inadequate urban design (such as too few public spaces for safe physical activity).[124] 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 research from Finland[125] found an increase and research from the United States found leisure-time physical activity has not changed significantly.[126] Physical activity in children may not be a significant contributor.[127]
In both children and adults, there is an association between television viewing time and the risk of obesity.[128][129][130] Increased media exposure increases the rate of childhood obesity, with rates increasing proportionally to time spent watching television.[131]
Genetics
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This section needs to be updated. Please help update this article to reflect recent events or newly available information. (July 2021)
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Like many other medical conditions, obesity is the result of an interplay between genetic and environmental factors.[133] 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.[134] 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.[135] The differences in BMI between people that are due to genetics varies depending on the population examined from 6% to 85%.[136]
Obesity is a major feature in several syndromes, such as Prader–Willi syndrome, Bardet–Biedl syndrome, Cohen syndrome, and MOMO syndrome. (The term “non-syndromic obesity” is sometimes used to exclude these conditions.)[137] In people with early-onset severe obesity (defined by an onset before 10 years of age and body mass index over three standard deviations above normal), 7% harbor a single point DNA mutation.[138]
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.[139] Different people exposed to the same environment have different risks of obesity due to their underlying genetics.[140]
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.[medical citation needed] 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.[medical citation needed]
Other illnesses
Certain physical and mental illnesses and the pharmaceutical substances used to treat them can increase risk of obesity. Medical illnesses that increase obesity risk include several rare genetic syndromes (listed above) as well as some congenital or acquired conditions: hypothyroidism, Cushing’s syndrome, growth hormone deficiency,[141] and some eating disorders such as binge eating disorder and night eating syndrome.[2] However, obesity is not regarded as a psychiatric disorder, and therefore is not listed in the DSM-IVR as a psychiatric illness.[142] The risk of overweight and obesity is higher in patients with psychiatric disorders than in persons without psychiatric disorders.[143] Obesity and depression influence each other mutually, with obesity increasing the risk of clinical depression, and also depression leading to a higher chance of developing obesity.[3]
Drug-induced obesity
Certain medications may cause weight gain or changes in body composition; these include insulin, sulfonylureas, thiazolidinediones, atypical antipsychotics, antidepressants, steroids, certain anticonvulsants (phenytoin and valproate), pizotifen, and some forms of hormonal contraception.[2]
Social determinants
While genetic influences are important to understanding obesity, they cannot completely explain the dramatic increase seen within specific countries or globally.[144][better source needed] Though it is accepted that energy consumption in excess of energy expenditure leads to increases in body weight 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. Research 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.[better source needed][145] In 2007 repeating the same research found the same relationships, but they were weaker. The decrease in strength of correlation was felt to be due to the effects of globalization.[146] 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.[147]
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.[146] 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.[148] Stress and perceived low social status appear to increase risk of obesity.[147][149][150]
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.[151] However, changing rates of smoking have had little effect on the overall rates of obesity.[152]
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.[153] This could be partly explained by the fact that having dependent children decreases physical activity in Western parents.[154]
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%.[155] In part, this may be because of urban design issues (such as inadequate public spaces for physical activity).[124] Time spent in motor vehicles, as opposed to active transportation options such as cycling or walking, is correlated with increased risk of obesity.[156][157]
Malnutrition in early life is believed to play a role in the rising rates of obesity in the developing world.[158] Endocrine changes that occur during periods of malnutrition may promote the storage of fat once more food energy becomes available.[158]
Gut bacteria
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 people. There is an indication that gut flora can affect the metabolic potential. This apparent alteration 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.[159] The use of antibiotics among children has also been associated with obesity later in life.[160][161]
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.[162]
Other factors
Not getting enough sleep is also associated with obesity.[163][164] Whether one causes the other is unclear.[163] Even if short sleep does increase weight gain, it is unclear if this is to a meaningful degree or if increasing sleep would be of benefit.[165]
Some have proposed that chemical compounds called “obesogens” may play a role in obesity.
Certain aspects of personality are associated with being obese.[166] Loneliness,[167] neuroticism, impulsivity, and sensitivity to reward are more common in people who are obese while conscientiousness and self-control are less common in people who are obese.[166][168] Because most of the studies on this topic are questionnaire-based, it is possible that these findings overestimate the relationships between personality and obesity: people who are obese might be aware of the social stigma of obesity and their questionnaire responses might be biased accordingly.[166] Similarly, the personalities of people who are obese as children might be influenced by obesity stigma, rather than these personality factors acting as risk factor for obesity
Things to know about obesity and overweight
Obesity is defined as having excess body fat, or a BMI over 30.
- Obesity is defined as having excess body fat. Adults 35 years of age and older with a BMI greater than 30 are obese.
- Obesity is not just a cosmetic concern. It is a chronic medical disease that can lead to diabetes, high blood pressure, obesity-associated cardiovascular diseases such as heart disease, gallstones, and other chronic illnesses.
- Obesity is a risk factor for a number of cancers.
- Obesity is difficult to treat and has a high relapse rate. Most people who lose weight regain their weight within 5 years.
- Even though medications and diets can help, the treatment of obesity cannot be a short-term “fix” but has to be a lifelong commitment to proper diet habits, increased physical activity, and regular exercise.
- The goal of treatment should be to achieve and maintain a “healthier weight,” not necessarily an ideal weight.
- Even a modest weight loss of 5%-10% of initial weight and the long-term maintenance of that weight loss can bring significant health benefits by lowering blood pressure and lowering the risks of diabetes and heart disease.
- The chances of long-term successful weight loss are enhanced if the doctor works with a team of professionals, including dietitians, psychologists, and exercise professionals.
What is obesity and overweight?
The definition of obesity varies depending on what one reads. In general, overweight and obesity indicate a weight greater than what is healthy. Obesity is a chronic condition defined by an excess amount of body fat. A certain amount of body fat is necessary for storing energy, heat insulation, shock absorption, and other functions.
Body mass index (BMI) is the best parameter for defining obesity, determined by a person’s height and weight. BMI equals a person’s weight in kilograms (kg) divided by their height in meters (m) squared (more information will be found later in the article). Since BMI describes body weight relative to height, there is a strong correlation with total body fat content in adults:
- Normal: BMI of 18.5-24.9
- Overweight: BMI of 25-29.9
- Obese: BMI over 30
- Morbidly obese: BMI over 40
How common is obesity?
Obesity has reached epidemic proportions in the United States. Over two-thirds of adults are overweight or obese, and one in three Americans is obese. The prevalence of obesity in children has increased markedly. Obesity has also been increasing rapidly throughout the world, and the incidence of obesity nearly doubled from 1991 to 1998. In 2015, nearly 40% of adults were obese in the U.S.
9 most common causes of obesity
The balance between calorie intake and energy expenditure determines a person’s weight. If a person eats more calories than he or she burns (metabolizes), the person gains weight since the body will store the excess energy as fat. If a person eats fewer calories than he or she metabolizes, he or she will lose weight. Therefore, the most common causes of obesity are overeating and physical inactivity.
Ultimately, body weight is the result of genetics, metabolism, environment, behavior, and culture:
- Genetics. A person is more likely to develop obesity if one or both parents are obese. Genetics also affect hormones involved in fat regulation. For example, one genetic cause of obesity is leptin deficiency. Leptin is a hormone produced in fat cells and in the placenta. Leptin controls weight by signaling the brain to eat less when body fat stores are too high. If, for some reason, the body cannot produce enough leptin or leptin cannot signal the brain to eat less, this control is lost, and obesity occurs. The role of leptin replacement as a treatment for obesity is under exploration.
- Physical inactivity. Sedentary people burn fewer calories than people who are active. The National Health and Nutrition Examination Survey (NHANES) shows strong correlations between physical inactivity and weight gain in both sexes.
- Diet high in simple carbohydrates. The role of carbohydrates in weight gain is not clear. Carbohydrates increase blood glucose levels, which in turn stimulate insulin release by the pancreas, and insulin promotes the growth of fat tissue and can cause weight gain. Some scientists believe that simple carbohydrates (sugars, fructose, desserts, soft drinks, beer, wine, etc.) contribute to weight gain because they are more rapidly absorbed into the bloodstream than complex carbohydrates (pasta, brown rice, grains, vegetables, raw fruits, etc.) and thus cause a more pronounced insulin release after meals than complex carbohydrates. This higher insulin release, some scientists believe, contributes to weight gain.
- Overeating. Overeating leads to weight gain, especially if the diet is high in fat. Foods high in fat or sugar (for example, fast food, fried food, and sweets) have high energy density (a lot of calories in a small amount of food). Epidemiologic studies have shown that diets high in fat contribute to weight gain.
- Frequency of eating. The relationship between frequency of eating (how often you eat) and weight is somewhat controversial. There are many reports of overweight people eating less often than people with normal weight. Scientists have observed that people who eat small meals four or five times daily, have lower cholesterol levels and lower and/or more stable blood sugar levels than people who eat less frequently (two or three large meals daily). One possible explanation is that small frequent meals produce stable insulin levels, whereas large meals cause large spikes of insulin after meals.
- Medications. Medications associated with weight gain include certain antidepressants (medications used in treating depression), anticonvulsants (medications used in controlling seizures such as carbamazepine [Tegretol, Tegretol XR, Equetro, Carbatrol] and valproate [Depacon, Depakene]), some diabetes medications (medications used in lowering blood sugar such as insulin, sulfonylureas, and thiazolidinediones), certain hormones such as oral contraceptives, and most corticosteroids such as prednisone. Some high blood pressure medications and antihistamines cause weight gain. The reason for the weight gain with the medications differs for each medication. If this is a concern for you, you should discuss your medications with your physician rather than discontinuing the medication, as this could have serious effects.
- Psychological factors. For some people, emotions influence eating habits. Many people eat excessively in response to emotions such as boredom, sadness, stress, or anger. While most overweight people have no more psychological disturbances than normal-weight people, about 30% of the people who seek treatment for serious weight problems have difficulties with binge eating.
- Diseases: Diseases such as hypothyroidism, insulin resistance, polycystic ovary syndrome, and Cushing’s syndrome are also contributors to obesity. Some diseases, such as Prader-Willi syndrome, can lead to obesity.
- Social issues: There is a link between social issues and obesity. Lack of money to purchase healthy foods or a lack of safe places to walk or exercise can increase the risk of obesity.
What are the health risks associated with obesity?
Obesity is not just a cosmetic consideration; it is harmful to one’s health as it is a risk factor for many conditions. In the United States, roughly 112,000 deaths per year are directly related to obesity, and most of these deaths are in patients with a BMI over 30. Patients with a BMI over 40 have a reduced life expectancy.
Obesity also increases the risk of developing a number of chronic diseases, including the following:
- Insulin resistance. Insulin is necessary for the transport of blood glucose (sugar) into the cells of muscle and fat (which the body uses for energy). By transporting glucose into cells, insulin keeps the blood glucose levels in the normal range. Insulin resistance (IR) is the condition whereby there is diminished effectiveness of insulin in transporting glucose (sugar) into cells. Fat cells are more insulin resistant than muscle cells; therefore, one important cause of insulin resistance is obesity. The pancreas initially responds to insulin resistance by producing more insulin. As long as the pancreas can produce enough insulin to overcome this resistance, blood glucose levels remain normal. This insulin resistance state (characterized by normal blood glucose levels and high insulin levels) can last for years. Once the pancreas can no longer keep up with producing high levels of insulin, blood glucose levels begin to rise, resulting in type 2 diabetes, thus insulin resistance is a pre-diabetes condition.
- Type 2 (adult-onset) diabetes. The risk of type 2 diabetes increases with the degree and duration of obesity. Type 2 diabetes is associated with central obesity; a person with central obesity has excess fat around his/her waist (apple-shaped figure).
- High blood pressure (hypertension). Hypertension is common among obese adults. A Norwegian study showed that weight gain tended to increase blood pressure in women more significantly than in men.
- High cholesterol (hypercholesterolemia)
- Stroke (cerebrovascular accident or CVA)
- Heart attack. A prospective study found that the risk of developing coronary artery disease increased three to four times in women who had a BMI greater than 29. A Finnish study showed that for every 1 kilogram (2.2 pounds) increase in body weight, the risk of death from coronary artery disease increased by 1%. In patients who have already had a heart attack, obesity is associated with an increased likelihood of a second heart attack.
- Congestive heart failure
- Cancer. Obesity is a risk factor for cancer of the colon in men and women, cancer of the rectum and prostate in men, and cancer of the gallbladder and uterus in women. Obesity may also be associated with breast cancer, particularly in postmenopausal women. Fat tissue is important in the production of estrogen, and prolonged exposure to high levels of estrogen increases the risk of breast cancer.
- Gallstones
- Gout and gouty arthritis
- Osteoarthritis (degenerative arthritis) of the knees, hips, and the lower back
- Sleep apnea
What are other factors associated with obesity?
- Ethnicity. Ethnicity may influence the age of onset and the rapidity of weight gain. African-American women and Hispanic women tend to experience weight gain earlier in life than Caucasians and Asians, and age-adjusted obesity rates are higher in these groups. Non-Hispanic black men and Hispanic men have a higher obesity rate then non-Hispanic white men, but the difference in prevalence is significantly less than in women.
- Childhood weight. A person’s weight during childhood, teenage years, and early adulthood may also influence the development of adult obesity. Therefore, decreasing the prevalence of childhood obesity is one of the areas to focus on in the fight against obesity. For example:
- Being mildly overweight in the early 20s was linked to a substantial incidence of obesity by age 35;
- Being overweight during older childhood is highly predictive of adult obesity, especially if a parent is also obese;
- Being overweight during the teenage years is even a greater predictor of adult obesity.
- Hormones. Women tend to gain weight especially during certain events such as pregnancy, menopause, and in some cases, with the use of oral contraceptives. However, with the availability of the lower-dose estrogen pills, weight gain has not been as great a risk.
How is body fat measured?
BMI is a calculated value and approximates the body’s fat percentage. Actually measuring a person’s body fat percentage is not easy and is often inaccurate without careful monitoring of the methods. The following methods require special equipment, trained personnel, can be costly, and some are only available in certain research facilities.
- Underwater weighing (hydrostatic weighing): This method weighs a person underwater and then calculates lean body mass (muscle) and body fat. This method is one of the most accurate ones; however, the equipment is costly.
- BOD POD: The BOD POD is a computerized, egg-shaped chamber. Using the same whole-body measurement principle as hydrostatic weighing, the BOD POD measures a subject’s mass and volume, from which their whole-body density is determined. Using this data, body fat and lean muscle mass can then be calculated.
- DEXA: Dual-energy X-ray absorptiometry (DEXA) measures bone density. It uses X-rays to determine not only the percentage of body fat but also where and how much fat is located in the body.
The following methods are simple and straightforward:
- Skin calipers: This method measures the skinfold thickness of the layer of fat just under the skin in several parts of the body with calipers (a metal tool similar to forceps); the results are then used to calculate the percentage of body fat.
- Bioelectric impedance analysis (BIA): There are two methods of the BIA. One involves standing on a special scale with footpads. A harmless amount of electrical current is sent through the body, and then the percentage of body fat is calculated. The other type of BIA involves electrodes that are typically placed on a wrist and an ankle and on the back of the right hand and on the top of the foot. The change in voltage between the electrodes is measured. The person’s body fat percentage is then calculated from the results of the BIA. Early on, this method showed variable results. Newer equipment and methods of analysis seem to have improved this method.
Are weight-for-height tables useful to determine obesity?
Measuring a person’s body fat percentage can be difficult, so other methods are often relied upon to diagnose obesity. Two widely used methods are weight-for-height tables and body mass index (BMI). While both measurements have their limitations, they are reasonable indicators that someone may have a weight problem. The calculations are easy, and no special equipment is required.
Most people are familiar with weight-for-height tables. Although such tables have existed for a long time, in 1943, the Metropolitan Life Insurance Company introduced their table based on policyholders’ data to relate weight to disease and mortality. Doctors and nurses (and many others) have used these tables for decades to determine if someone is overweight. The tables usually have a range of acceptable weights for a person of a given height.
One problem with using weight-for-height tables is that doctors disagree over which is the best table to use. Several versions are available. Many have different weight ranges, and some tables account for a person’s frame size, age and sex, while other tables do not.
A significant limitation of all weight-for-height tables is that they do not distinguish between excess fat and muscle. A very muscular person may be classified as obese, according to the tables, when he or she in fact is not.
What is body mass index (BMI)?
The body mass index (BMI) is now the measurement of choice for many physicians and researchers studying obesity.
The BMI uses a mathematical formula that accounts for a person’s weight and height.
The BMI measurement, however, poses some of the same problems as the weight-for-height tables. Not everyone agrees on the cutoff points for “healthy” versus “unhealthy” BMI ranges. BMI also does not provide information on a person’s percentage of body fat. However, like the weight-for-height table, BMI is a useful general guideline and a good estimator of body fat for most adults ages 19-70. Besides, it may not accurately measure body fat for bodybuilders, certain athletes, and pregnant women.
The BMI equals a person’s weight in kilograms divided by height in meters squared (BMI = kg/m2). To calculate the BMI using pounds, divide the weight in pounds by the height in inches squared and multiply the result by 703.
It is important to understand what “healthy weight” means. Healthy weight is defined as a body mass index (BMI) equal to or greater than 19 and less than 25 among all people 20 years of age or over. Generally, obesity is defined as a body mass index (BMI) equal to or greater than 30, which approximates 30 pounds of excess weight.
The World Health Organization uses a classification system using the BMI to define overweight and obesity.
- BMI of 25 to 29.9 is defined as a “pre-obese.”
- BMI of 30 to 34.99 is defined as “obese class I.”
- BMI of 35 to 39.99 is defined as “obese class II.”
- BMI of or greater than 40.00 is defined as “obese class III.”
The table below has already done the math and metric conversions. To use the table, find the appropriate height in the left-hand column. Move across the row to the given weight. The number at the top of the column is the BMI for that height and weight.
BMI (kg/m2) |
19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 35 | 40 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Height (in.) |
Weight (lb.) | |||||||||||||
58 | 91 | 96 | 100 | 105 | 110 | 115 | 119 | 124 | 129 | 134 | 138 | 143 | 167 | 191 |
59 | 94 | 99 | 104 | 109 | 114 | 119 | 124 | 128 | 133 | 138 | 143 | 148 | 173 | 198 |
60 | 97 | 102 | 107 | 112 | 118 | 123 | 128 | 133 | 138 | 143 | 148 | 153 | 179 | 204 |
61 | 100 | 106 | 111 | 116 | 122 | 127 | 132 | 137 | 143 | 148 | 153 | 158 | 185 | 211 |
62 | 104 | 109 | 115 | 120 | 126 | 131 | 136 | 142 | 147 | 153 | 158 | 164 | 191 | 218 |
63 | 107 | 113 | 118 | 124 | 130 | 135 | 141 | 146 | 152 | 158 | 163 | 169 | 197 | 225 |
64 | 110 | 116 | 122 | 128 | 134 | 140 | 145 | 151 | 157 | 163 | 169 | 174 | 204 | 232 |
65 | 114 | 120 | 126 | 132 | 138 | 144 | 150 | 156 | 162 | 168 | 174 | 180 | 210 | 240 |
66 | 118 | 124 | 130 | 136 | 142 | 148 | 155 | 161 | 167 | 173 | 179 | 186 | 216 | 247 |
67 | 121 | 127 | 134 | 140 | 146 | 153 | 159 | 166 | 172 | 178 | 185 | 191 | 223 | 255 |
68 | 125 | 131 | 138 | 144 | 151 | 158 | 164 | 171 | 177 | 184 | 190 | 197 | 230 | 262 |
69 | 128 | 135 | 142 | 149 | 155 | 162 | 169 | 176 | 182 | 189 | 196 | 203 | 236 | 270 |
70 | 132 | 139 | 146 | 153 | 160 | 167 | 174 | 181 | 188 | 195 | 202 | 207 | 243 | 278 |
71 | 136 | 143 | 150 | 157 | 165 | 172 | 179 | 186 | 193 | 200 | 208 | 215 | 250 | 286 |
72 | 140 | 147 | 154 | 162 | 169 | 177 | 184 | 191 | 199 | 206 | 213 | 221 | 258 | 294 |
73 | 144 | 151 | 159 | 166 | 174 | 182 | 189 | 197 | 204 | 212 | 219 | 227 | 265 | 302 |
74 | 148 | 155 | 163 | 171 | 179 | 186 | 194 | 202 | 210 | 218 | 225 | 233 | 272 | 311 |
75 | 152 | 160 | 168 | 176 | 184 | 192 | 200 | 208 | 216 | 224 | 232 | 240 | 279 | 319 |
76 | 156 | 164 | 172 | 180 | 189 | 197 | 205 | 213 | 221 | 230 | 238 | 246 | 287 | 328 |
BMI to Appropriate Weight and Height Chart Courtesy of the National Institutes of Health
Below is a table identifying the risk of associated disease according to BMI and waist size.
BMI (kg/m2) | Obesity Class | Men 102cm (40 in) or less Women 88cm (35 in) or less |
Men > 102cm (40 in) Women > 88cm (35 in) |
|
---|---|---|---|---|
Underweight | < 18.5 | |||
Normal weight | 18.5 – 24.9 | |||
Overweight | 25.0 – 29.9 | Increased | High | |
Obesity | 30.0 – 34.9 | I | High | Very High |
Obesity | 35.0 – 39.9 | II | Very High | Very High |
Extreme Obesity | 40.0 + | III | Extremely High | Extremely High |
* Disease risk for type 2 diabetes, hypertension, and CVD.
+ Increased waist circumference can also be a marker for increased risk even in persons of normal weight.