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Causes of obesity
Suzanne M. Wright, Louis J. Aronne
Comprehensive Weight ControlProgram, Weill-Cornell Medical College/New York Presbyterian Hospital, 1165 York
Avenue, New York, NY 10065, USA DOI:10.1007/s00261-012-9862-x Publishedonline: 18 March 2012
The prevalence of obesity has been rising steadily over the last several decades
and is currently at unprecedented levels: more than 68% of US adults are considered
overweight, and 35% are obese (Flegal et al., 2010). This increase has occurred
across every age, sex, race, and smoking status, and data indicate that segments of
individuals in the highest weight categories (i.e., BMI > 40 kg/m2) have increased
proportionately more than those in lower BMI categories (BMI < 35 kg/m2). The
dramatic rise in obesity has also occurred in many other countries, and the causes of
this increase are not fully understood (Hill and Melanson, 1999). Although obesity is
most commonly caused by excess energy consumption (dietary intake) relative to
energy expenditure (energy loss via metabolic and physical activity), the etiology of
obesity is highly complex and includes genetic, physiologic, environmental,
psychological, social, economic, and even political factors that interact in varying
degrees to promote the development of obesity (Aronne, Nelinson, and Lillo, 2009).
The food, or ‘‘built’’ environment has shifted in ways that promote overeating: highly
caloric and fat-laden foods are not only affordable but also easily accessible (i.e.,
numerous fast food restaurants, vending machines of energy dense items in schools
and offices, etc.). These highly palatable foods are frequently available in large
portions, which contribute to increased daily caloric intake (Rolls, 2003). Not only have
commercial portion sizes increased, the number of processed food items (typically
high in sugar, fat, and sodium) available in grocery stores, mini-marts, and
convenience stores has skyrocketed. Today, the majority of products in grocery stores
are non-perishable, highly processed, and pre-packaged foods. These products are
heavily marketed not only to adults but also to children as well. Convenient, easy to
prepare, and inexpensive, these high calorie products are frequently consumed by
millions of families who are struggling to meet the economic and scheduling demands
of today’s fast paced lifestyle.
Physical activity levels have also dramatically decreased in the past several
decades. It has been estimated that less than half of US adults engaged in
recommended levels of physical activity in 2005 (Centers for Disease Control and
Prevention, 2007). Levels of physical activity have also decreased in adolescents
(Kimm, 2002). There is less access to physical activity (fewer sidewalks), less physical
education in schools (Gabbard, 2001), and more time is spent on sedentary behaviors
such as television watching, surfing the internet, and playing video games (Andersen,
1998). The myriad advances in technology developed over the past few decades have
made many tasks more efficient, but in the process have ultimately decreased the
number of calories expended (i.e., TV remote controls, automatic garage door opener,
etc.).
In addition to the primary influences of increased caloric intake and decreased
energy expenditure, Keith et al. (2006) identified ten other contributing factors to the
obesity epidemic (Table 1). Weight gain is associated with several commonly used
medications including psychotropic medications, diabetic treatments, antihyper
tensives, steroid hormones and contraceptives, antihistamines, and protease
inhibitors. The deleterious effects of drug-induced weight gain include, paradoxically,
increased risks for developing type II diabetes, hypertension, hyperlipidemia, as well
as poor medication compliance (Aronne and Segal, 2003). While it is difficult to
estimate the full impact of drug-induced weight gain, the recognition that some of the
most widely prescribed classes of drugs can cause significant weight gain supports
the hypothesis that drug-induced weight gain is contributing to the obesity epidemic.
Table 1. Contributing Factors to the Obesity Epidemic
Contributingfactor References
The foodenvironment (Rolls, 2003)
Decreases in physical activity (Centers forDisease Control andPrevention, 2007)
Sleep debt (Gangwisch, 2005)
Drug-inducedweight gain (Aronne,2003)
Decline in cigarette smoking (Filozof et al.,2004)
Endocrine disruptors (Pelletieret al., 2003)
Reduction in variabilityof ambient temperature (Collin et al., 2001)
Changes in distribution ofethnicityandage (Hedley et al., 2004)
Increasinggravida age (Patterson, 1997)
Intrauterine effects (Finch andLoehlin,1998)
Greater reproductive fitness of higher BMIindividuals yieldingthe selectionfor
obesity-predisposinggenotypes
(Segal andAllison, 2002)
Assortative matingandflooreffects (Katzmarzyk et al., 2002)
Changes in policy (Swinburn et al., 2011)
Infections (Atkinson,et al.,2005)
Modified from [9, 19]
Sleep debt has also been linked to increased body weight. Some studies have
shown that hours of sleep per night are negatively correlated with BMI (Gangwisch et
al., 2005), and sleep restriction has been shown to increase hunger and appetite
(Spiegel et al., 2004). The relatively recent decline in cigarette smoking may also be a
factor that has contributed to the obesity epidemic, since studies have shown that
weight gain is a common sequelae of smoking cessation. Furthermore, smokers
typically weigh less than non-smokers.
Endocrine disruptors, industrially produced substances that can affect endocrine
function, may also be a contributing factor to the etiology of obesity. They include
dichlorodiphenyltrichloroethane, some polychlorinated biphenols and some
alkylphenols, that may act by disturbing endogenous hormonal regulation (Keith et al.,
2006). Other factors (Table 1) that can possibly contribute to the obesity epidemic
include a reduction in the variability of ambient temperature due to central cooling and
heating, changes in population distribution of ethnicity and age, increasing gravida
age, intrauterine effects, and greater reproductive fitness of higher BMI individuals
yielding the selection for obesity-predisposing genotypes. Although the genetics of
obesity is a highly researched area, just a small number of rare single genetic
abnormalities have been discovered. Current research on the epigenetics of obesity is
investigating the influence of behavioral and environmental factors on genetic
expression (Swinburn et al., 2011).
It has been suggested that policies put into place by the US government to increase
the food supply in the 1970s contributed to an abundance of food and therefore an
increase in population energy intake (Swinburn et al., 2009). For instance, US farm
subsidy policies may have caused certain foods to be more abundant and cheaper,
potentially contributing to lower relative prices and increased consumption of fattening
foods (Wallinga, 2010). Infections may also play a role in the etiology of obesity.
Adenovirus-36 (Ad-36) infection has been shown to cause obesity in animals (Pasarica
et al., 2006) and studies have shown that obese individuals are more likely to have
been infected with Ad-36 (Atkinson et al., 2005)
Social networks may also contribute to the increasing prevalence of obesity. One
study showed that a person’s chance of becoming obese increased by 57% if he or
she had a friend who became obese in a given interval (Christakis and Fowler, 2007).
A similar phenomenon was observed among adult siblings and married couples.
Among adult siblings, the chance of one sibling becoming obese increased by 40% if
the other sibling had become obese, and among married couples, the likelihood of one
spouse becoming obese increased by 37% if the other had become obese.
Thus, the dramatic rise in the incidence of obesity in many countries appears to be
due to the complex interaction of a variety of factors including genetic, physiologic,
environmental, psychological, social, economic, and political. Given the numerous and
significant deleterious health consequences associated with obesity, there is an urgent
need for the development of highly effective interventions that aim to reverse these
‘‘obesogenic’’ drivers, including both government policies as well as health education
and promotion programs.
References
Andersen RE, Crespo CJ, Bartlett SJ, Cheskin LJ, Pratt M (1998) Relationship of physical activity and
television watching with body weight and level of fatness among children: results from the Third National
Health and Nutrition Examination Survey. JAMA
Aronne LJ, Nelinson DS, Lillo JL (2009) Obesity as a disease state: a new paradigm for diagnosis and
treatment. Clin Cornerstone 9(4):9-25. discussion 26–9
Aronne LJ, Segal KR (2003) Weight gain in the treatment of mood disorders. J Clin Psychiatry 64(Suppl
8):22–29. Review
Atkinson RL, Dhurandhar NV, Allison DB, et al. (2005) Humanadenovirus-36 is associated with
increased body weight and paradoxical reduction of serum lipids. Int J Obes (Lond) 29(3):281–286
Centers for Disease Control and Prevention (2007) Prevalence of regular physical activity among
adults—United States. 2001 and 2005. MMWR 56:1209–1212
Christakis NA, Fowler JH (2007) The spread of obesity in a large social network over 32 years. N Engl
J Med 357(4):370–379
Collin A, van Milgen J, Dubois S, Noblet J (2001) Effect of high temperature on feeding behaviour and
heat production in group housed young pigs. Br J Nutr 86(1):63–70
Filozof C, Ferna´ ndez Pinilla MC, Ferna´ ndez-Cruz A (2004) Smoking cessation and weight gain.
Obes Rev 5(2):95–103
Finch CE, Loehlin JC (1998) Environmental influences that may precede fertilization: a first examination
of the pre zygotic hypothesis from maternal age influences on twins. Behav Genet 28(2):101– 106
Flegal KM, Carroll MD, Ogden CL et al. (2010) Prevalence and trends in obesity among US adults,
1999–2008. JAMA 303(3):235– 241
Gabbard C (2001) The need for quality physical education. J SchNurs 17:73–75
Gangwisch JE, Malaspina D, Boden-Albala B, Heymsfield SB(2005) Inadequate sleep as a risk factor
for obesity: analyses of the NHANES I. Sleep 28(10):1289–1296
Hedley AA, Ogden CL, Johnson CL, et al. (2004) Prevalence of overweight and obesity among US
children, adolescents, and adults, 1999–2002. JAMA 291(23):2847–2850
Hill JO, Melanson EL (1999) Overview of the determinants of overweight and obesity: current evidence
and research issues. Med Sci Sports Exerc 31(11 Suppl):S515–S521
Katzmarzyk PT, Hebebrand J, Bouchard C (2002) Spousal resemblance in the Canadian population:
implications for the obesity epidemic. Int J Obes Relat Metab Disord 26(2):241–246
Keith SW, Redden DT, Katzmarzyk PT, et al. (2006) Putative contributors to the secular increase in
obesity: exploring the roads less traveled. Int J Obes (Lond) 30(11):1585–1594
Kimm, SY, Glynn NW, Kriska AM, et al. (2002) Decline in physical activity in black girls and white girls
during adolescence. N Engl J Med 347:709–715
McAllister EJ, Dhurandhar NV, Keith SW, et al. (2009) Ten putative contributors to the obesity epidemic.
Crit Rev Food SciNutr 49(10):868–913
Pasarica M, Shin AC, Yu M, et al. (2006) Human adenovirus 36 induces adiposity, increases insulin
sensitivity, and alters hypothalamic monoamines in rats. Obesity (Silver Spring) 14(11):1905–1913
Patterson ML, Stern S, Crawford PB, et al. (1997) Sociodemographic factors and obesity in
preadolescent black and white girls: NHLBI’s growth and health study. J Natl Med Assoc 89(9):594 –
600
Pelletier C, Imbeault P, Tremblay A (2003) Energy balance and pollution by organochlorines and
polychlorinated biphenyls. Obes Rev 4(1):17–24
Rolls BJ (2003) The Supersizing of America: portion size and the obesity epidemic. Nutr Today
38(2):42–53
Segal NL, Allison DB (2002) Twins and virtual twins: bases of relative body weight revisited. Int J Obes
Relat Metab Disord 26(4):437–441
Spiegel K, Tasali E, Penev P, Van Cauter E (2004) Brief communication: Sleep curtailment in healthy
young men is associated with decreased leptin levels, elevated ghrelin levels, and increased hunger
and appetite. Ann Intern Med 141(11):846–850
Swinburn B, Sacks G, Ravussin E (2009) Increased food energy supply is more than sufficient to explain
the US epidemic of obesity. Am J Clin Nutr 90(6):1453–1456
Swinburn BA, Sacks G, Hall KD, et al. (2011) The global obesity pandemic: shaped by global drivers
and local environments. Lancet 378(9793):804–814
Wallinga D (2010) Agricultural policy and childhood obesity: a food systems and public health
commentary. Health Aff (Millwood) 29(3):405–410

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Causes of obesity

  • 1. Causes of obesity Suzanne M. Wright, Louis J. Aronne Comprehensive Weight ControlProgram, Weill-Cornell Medical College/New York Presbyterian Hospital, 1165 York Avenue, New York, NY 10065, USA DOI:10.1007/s00261-012-9862-x Publishedonline: 18 March 2012 The prevalence of obesity has been rising steadily over the last several decades and is currently at unprecedented levels: more than 68% of US adults are considered overweight, and 35% are obese (Flegal et al., 2010). This increase has occurred across every age, sex, race, and smoking status, and data indicate that segments of individuals in the highest weight categories (i.e., BMI > 40 kg/m2) have increased proportionately more than those in lower BMI categories (BMI < 35 kg/m2). The dramatic rise in obesity has also occurred in many other countries, and the causes of this increase are not fully understood (Hill and Melanson, 1999). Although obesity is most commonly caused by excess energy consumption (dietary intake) relative to energy expenditure (energy loss via metabolic and physical activity), the etiology of obesity is highly complex and includes genetic, physiologic, environmental, psychological, social, economic, and even political factors that interact in varying degrees to promote the development of obesity (Aronne, Nelinson, and Lillo, 2009). The food, or ‘‘built’’ environment has shifted in ways that promote overeating: highly caloric and fat-laden foods are not only affordable but also easily accessible (i.e., numerous fast food restaurants, vending machines of energy dense items in schools and offices, etc.). These highly palatable foods are frequently available in large portions, which contribute to increased daily caloric intake (Rolls, 2003). Not only have commercial portion sizes increased, the number of processed food items (typically high in sugar, fat, and sodium) available in grocery stores, mini-marts, and convenience stores has skyrocketed. Today, the majority of products in grocery stores are non-perishable, highly processed, and pre-packaged foods. These products are heavily marketed not only to adults but also to children as well. Convenient, easy to prepare, and inexpensive, these high calorie products are frequently consumed by millions of families who are struggling to meet the economic and scheduling demands of today’s fast paced lifestyle. Physical activity levels have also dramatically decreased in the past several decades. It has been estimated that less than half of US adults engaged in recommended levels of physical activity in 2005 (Centers for Disease Control and Prevention, 2007). Levels of physical activity have also decreased in adolescents (Kimm, 2002). There is less access to physical activity (fewer sidewalks), less physical education in schools (Gabbard, 2001), and more time is spent on sedentary behaviors such as television watching, surfing the internet, and playing video games (Andersen, 1998). The myriad advances in technology developed over the past few decades have made many tasks more efficient, but in the process have ultimately decreased the number of calories expended (i.e., TV remote controls, automatic garage door opener, etc.).
  • 2. In addition to the primary influences of increased caloric intake and decreased energy expenditure, Keith et al. (2006) identified ten other contributing factors to the obesity epidemic (Table 1). Weight gain is associated with several commonly used medications including psychotropic medications, diabetic treatments, antihyper tensives, steroid hormones and contraceptives, antihistamines, and protease inhibitors. The deleterious effects of drug-induced weight gain include, paradoxically, increased risks for developing type II diabetes, hypertension, hyperlipidemia, as well as poor medication compliance (Aronne and Segal, 2003). While it is difficult to estimate the full impact of drug-induced weight gain, the recognition that some of the most widely prescribed classes of drugs can cause significant weight gain supports the hypothesis that drug-induced weight gain is contributing to the obesity epidemic. Table 1. Contributing Factors to the Obesity Epidemic Contributingfactor References The foodenvironment (Rolls, 2003) Decreases in physical activity (Centers forDisease Control andPrevention, 2007) Sleep debt (Gangwisch, 2005) Drug-inducedweight gain (Aronne,2003) Decline in cigarette smoking (Filozof et al.,2004) Endocrine disruptors (Pelletieret al., 2003) Reduction in variabilityof ambient temperature (Collin et al., 2001) Changes in distribution ofethnicityandage (Hedley et al., 2004) Increasinggravida age (Patterson, 1997) Intrauterine effects (Finch andLoehlin,1998) Greater reproductive fitness of higher BMIindividuals yieldingthe selectionfor obesity-predisposinggenotypes (Segal andAllison, 2002) Assortative matingandflooreffects (Katzmarzyk et al., 2002) Changes in policy (Swinburn et al., 2011) Infections (Atkinson,et al.,2005) Modified from [9, 19] Sleep debt has also been linked to increased body weight. Some studies have shown that hours of sleep per night are negatively correlated with BMI (Gangwisch et al., 2005), and sleep restriction has been shown to increase hunger and appetite (Spiegel et al., 2004). The relatively recent decline in cigarette smoking may also be a factor that has contributed to the obesity epidemic, since studies have shown that weight gain is a common sequelae of smoking cessation. Furthermore, smokers typically weigh less than non-smokers. Endocrine disruptors, industrially produced substances that can affect endocrine function, may also be a contributing factor to the etiology of obesity. They include dichlorodiphenyltrichloroethane, some polychlorinated biphenols and some alkylphenols, that may act by disturbing endogenous hormonal regulation (Keith et al., 2006). Other factors (Table 1) that can possibly contribute to the obesity epidemic include a reduction in the variability of ambient temperature due to central cooling and heating, changes in population distribution of ethnicity and age, increasing gravida age, intrauterine effects, and greater reproductive fitness of higher BMI individuals
  • 3. yielding the selection for obesity-predisposing genotypes. Although the genetics of obesity is a highly researched area, just a small number of rare single genetic abnormalities have been discovered. Current research on the epigenetics of obesity is investigating the influence of behavioral and environmental factors on genetic expression (Swinburn et al., 2011). It has been suggested that policies put into place by the US government to increase the food supply in the 1970s contributed to an abundance of food and therefore an increase in population energy intake (Swinburn et al., 2009). For instance, US farm subsidy policies may have caused certain foods to be more abundant and cheaper, potentially contributing to lower relative prices and increased consumption of fattening foods (Wallinga, 2010). Infections may also play a role in the etiology of obesity. Adenovirus-36 (Ad-36) infection has been shown to cause obesity in animals (Pasarica et al., 2006) and studies have shown that obese individuals are more likely to have been infected with Ad-36 (Atkinson et al., 2005) Social networks may also contribute to the increasing prevalence of obesity. One study showed that a person’s chance of becoming obese increased by 57% if he or she had a friend who became obese in a given interval (Christakis and Fowler, 2007). A similar phenomenon was observed among adult siblings and married couples. Among adult siblings, the chance of one sibling becoming obese increased by 40% if the other sibling had become obese, and among married couples, the likelihood of one spouse becoming obese increased by 37% if the other had become obese. Thus, the dramatic rise in the incidence of obesity in many countries appears to be due to the complex interaction of a variety of factors including genetic, physiologic, environmental, psychological, social, economic, and political. Given the numerous and significant deleterious health consequences associated with obesity, there is an urgent need for the development of highly effective interventions that aim to reverse these ‘‘obesogenic’’ drivers, including both government policies as well as health education and promotion programs.
  • 4. References Andersen RE, Crespo CJ, Bartlett SJ, Cheskin LJ, Pratt M (1998) Relationship of physical activity and television watching with body weight and level of fatness among children: results from the Third National Health and Nutrition Examination Survey. JAMA Aronne LJ, Nelinson DS, Lillo JL (2009) Obesity as a disease state: a new paradigm for diagnosis and treatment. Clin Cornerstone 9(4):9-25. discussion 26–9 Aronne LJ, Segal KR (2003) Weight gain in the treatment of mood disorders. J Clin Psychiatry 64(Suppl 8):22–29. Review Atkinson RL, Dhurandhar NV, Allison DB, et al. (2005) Humanadenovirus-36 is associated with increased body weight and paradoxical reduction of serum lipids. Int J Obes (Lond) 29(3):281–286 Centers for Disease Control and Prevention (2007) Prevalence of regular physical activity among adults—United States. 2001 and 2005. MMWR 56:1209–1212 Christakis NA, Fowler JH (2007) The spread of obesity in a large social network over 32 years. N Engl J Med 357(4):370–379 Collin A, van Milgen J, Dubois S, Noblet J (2001) Effect of high temperature on feeding behaviour and heat production in group housed young pigs. Br J Nutr 86(1):63–70 Filozof C, Ferna´ ndez Pinilla MC, Ferna´ ndez-Cruz A (2004) Smoking cessation and weight gain. Obes Rev 5(2):95–103 Finch CE, Loehlin JC (1998) Environmental influences that may precede fertilization: a first examination of the pre zygotic hypothesis from maternal age influences on twins. Behav Genet 28(2):101– 106 Flegal KM, Carroll MD, Ogden CL et al. (2010) Prevalence and trends in obesity among US adults, 1999–2008. JAMA 303(3):235– 241 Gabbard C (2001) The need for quality physical education. J SchNurs 17:73–75 Gangwisch JE, Malaspina D, Boden-Albala B, Heymsfield SB(2005) Inadequate sleep as a risk factor for obesity: analyses of the NHANES I. Sleep 28(10):1289–1296 Hedley AA, Ogden CL, Johnson CL, et al. (2004) Prevalence of overweight and obesity among US children, adolescents, and adults, 1999–2002. JAMA 291(23):2847–2850 Hill JO, Melanson EL (1999) Overview of the determinants of overweight and obesity: current evidence and research issues. Med Sci Sports Exerc 31(11 Suppl):S515–S521 Katzmarzyk PT, Hebebrand J, Bouchard C (2002) Spousal resemblance in the Canadian population: implications for the obesity epidemic. Int J Obes Relat Metab Disord 26(2):241–246 Keith SW, Redden DT, Katzmarzyk PT, et al. (2006) Putative contributors to the secular increase in obesity: exploring the roads less traveled. Int J Obes (Lond) 30(11):1585–1594 Kimm, SY, Glynn NW, Kriska AM, et al. (2002) Decline in physical activity in black girls and white girls during adolescence. N Engl J Med 347:709–715 McAllister EJ, Dhurandhar NV, Keith SW, et al. (2009) Ten putative contributors to the obesity epidemic. Crit Rev Food SciNutr 49(10):868–913 Pasarica M, Shin AC, Yu M, et al. (2006) Human adenovirus 36 induces adiposity, increases insulin sensitivity, and alters hypothalamic monoamines in rats. Obesity (Silver Spring) 14(11):1905–1913
  • 5. Patterson ML, Stern S, Crawford PB, et al. (1997) Sociodemographic factors and obesity in preadolescent black and white girls: NHLBI’s growth and health study. J Natl Med Assoc 89(9):594 – 600 Pelletier C, Imbeault P, Tremblay A (2003) Energy balance and pollution by organochlorines and polychlorinated biphenyls. Obes Rev 4(1):17–24 Rolls BJ (2003) The Supersizing of America: portion size and the obesity epidemic. Nutr Today 38(2):42–53 Segal NL, Allison DB (2002) Twins and virtual twins: bases of relative body weight revisited. Int J Obes Relat Metab Disord 26(4):437–441 Spiegel K, Tasali E, Penev P, Van Cauter E (2004) Brief communication: Sleep curtailment in healthy young men is associated with decreased leptin levels, elevated ghrelin levels, and increased hunger and appetite. Ann Intern Med 141(11):846–850 Swinburn B, Sacks G, Ravussin E (2009) Increased food energy supply is more than sufficient to explain the US epidemic of obesity. Am J Clin Nutr 90(6):1453–1456 Swinburn BA, Sacks G, Hall KD, et al. (2011) The global obesity pandemic: shaped by global drivers and local environments. Lancet 378(9793):804–814 Wallinga D (2010) Agricultural policy and childhood obesity: a food systems and public health commentary. Health Aff (Millwood) 29(3):405–410