Author's personal copy Can J Diabetes 37 (2013) 90e96 Contents lists available at SciVerse ScienceDirect Canadian Journal of Diabetes journal homepage: www.canadianjournalofdiabetes.com Review The Public Health Burden of Obesity in Canada Ian Janssen PhD * School of Kinesiology and Health Studies and Department of Community Health and Epidemiology, Queen’s University, Kingston, Ontario, Canada a r t i c l e i n f o a b s t r a c t Article history: Received 26 November 2012 Received in revised form 31 January 2013 Accepted 21 February 2013 The purpose of this review was to provide an overview of the public health burden of obesity in Canada. Based on nationally representative surveys that obtained measured heights and weights and that defined obesity using a body mass index (BMI) cutpoint of 30 kg/m2, the prevalence of obesity in Canadian adults increased from 10% in 1970/72 to 26% in 2009/11. The prevalence of obesity in children has tripled since 1981, and based on the World Health Organization BMI growth standards, 12% of Canadian school-aged children were obese in 2009/11. At present, there are approximately 7 million obese adults and 600 000 obese schoolaged children in Canada. Prevalence estimates based on waist circumference are even more troubling as they indicate that 37% of adults and 13% of youth are abdominally obese. Obesity is a major contributor to morbidity and mortality in the Canadian population. For instance, 61% to 74% of type 2 diabetes cases, 17% to 32% of osteoarthritis cases, 14% to 21% of colorectal cancers, 8% to 14% of depression cases, and 20% of premature deaths that occur in Canadian adults are estimated to be directly attributable to obesity. Obesity also places a large economic burden on the country. In 2006 obesity accounted for $3.9 billion in direct health care costs (e.g., hospitalizations, medications, physician and emergency room visits) and $3.2 billion in indirect costs (e.g., costs related to disability and lost productivity due to illness or premature death). Ó 2013 Canadian Diabetes Association Keywords: body mass index Canada obesity public health waist circumference r é s u m é Mots clés: indice de masse corporelle Canada obésité santé publique périmètre abdominal Le but de cette revue était d’offrir un aperçu du fardeau de l’obésité sur la santé publique au Canada. Selon des enquêtes représentatives à l’échelle nationale qui ont obtenu des mesures de la stature et du poids, et qui ont défini l’obésité en utilisant un seuil d’indice de masse corporelle (IMC) de 30 kg/m2, la prévalence de l’obésité chez les adultes canadiens a augmenté de 10 % en 1970-72 à 26 % en 2009-11. La prévalence de l’obésité chez les enfants a triplé depuis 1981, et selon les standards de croissance de l’Organisation mondiale de la santé définis par l’IMC, 12 % des enfants canadiens d’âge scolaire étaient obèses en 2009-11. À ce jour, il y a approximativement 7 millions d’adultes obèses et 600 000 enfants obèses d’âge scolaire au Canada. Les estimations de la prévalence selon le périmètre abdominal sont d’autant plus troublantes qu’elles indiquent que 37 % des adultes et 13 % des jeunes ont une obésité abdominale. L’obésité contribue grandement à la morbidité et à la mortalité dans la population canadienne. Par exemple, de 61 % à 74 % des cas de diabète de type 2, de 17 % à 32 % des cas d’ostéoarthrite, de 14 % à 21 % des cancers colorectaux, de 8 % à 14 % des cas de dépression et 20 % des décès prématurés qui surviennent chez les adultes canadiens sont estimés être directement attribuables à l’obésité. L’obésité constitue également un lourd fardeau économique pour le pays. En 2006, l’obésité comptait pour 3,9 milliards de dollars en coûts de soins de santé directs (p. ex. les hospitalisations, les médicaments, les visites chez le médecin et au service des urgences) et 3,2 milliards de dollars en coûts indirects (p. ex. les coûts liés à l’incapacité et à la perte de productivité en raison de la maladie ou du décès prématuré). Ó 2013 Canadian Diabetes Association Introduction “I couldn’t open up a magazine, you couldn’t read a newspaper, you couldn’t turn on the TV without hearing about the obesity epidemic”. Morgan Spurlock, director and star of Super Size Me. * Address for correspondence: Ian Janssen, PhD, School of Kinesiology and Health Studies, Queen’s University, Kingston, Ontario K7L 4V1, Canada. E-mail address: [email protected]. 1499-2671/$ e see front matter Ó 2013 Canadian Diabetes Association http://dx.doi.org/10.1016/j.jcjd.2013.02.059 As noted by Morgan Spurlock, obesity is a focal point of the media and is subsequently in the public’s eye. There is a substantial amount of work being done in Canada to address obesity as evidence by the fact that there are more than 8000 members enrolled in the Canadian Obesity Network, Canada’s professional obesity association for health care providers, researchers, policymakers and obesity stakeholders. Government has also taken an interest. In fact, the coalition of Federal, Provincial, and Territorial Ministers of Health and Health Promotion have made childhood obesity its leading priority (1,2). Author's personal copy I. Janssen / Can J Diabetes 37 (2013) 90e96 The purpose of this review article is to provide an up-to-date overview of the public health burden of obesity in Canada. In so doing, this article will help justify the interest and research that is being conducted on obesity, and set the stage for other articles included in this obesity-theme issue. The review is broken down into 4 sections. The first section provides an overview of how obesity is defined and measured. The second section discusses the prevalence of obesity in Canada and how this has changed over time. The next section covers the health burden of obesity and the final section provides an overview of the economic burden of obesity. Defining and Measuring Obesity In simple terms, obesity is condition in which excess body fat has accumulated to the extent that it has an adverse effect on a person’s physical, mental and/or social health. The Obesity Society has taken the position that obesity be considered a disease for the following reasons: 1) considering obesity a disease will benefit our citizenry by soliciting more resources for prevention and treatment of, and research on, obesity, 2) considering obesity a disease will encourage healthcare professionals to view treating obesity as a vocation worthy of effort and respect, and 3) considering obesity a disease will reduce the stigma and discrimination experienced by many persons with obesity (3). The body mass index (BMI), a term originally coined by Ancel Keys in 1972 (4), is the most widely used method of measuring and identifying obesity. The BMI cutpoints for adults that are endorsed by the World Health Organization (WHO) and government and research agencies in Canada are that overweight (sometimes called pre-obesity) be based on a BMI of 25e29.9 kg/m2 and obesity a BMI of 30 kg/m2 (5e7). Obesity can further be divided into class I (30e34.9 kg/m2), class II (35.0e39.9 kg/m2) and class III (40 kg/m2) categories (5,6). These BMI cutpoints reflect the increasing health risk of excess weight as BMI increases above the healthy weight range of 18.5e24.9 kg/m2. This review primarily focuses on the obesity range. The BMI cutpoints used in adults are not appropriate for children. Because BMI changes with normal growth and maturation, age-specific BMI cut-points are needed for the proper classification of obesity within the pediatric population (8). Within Canada, 2 sets of BMI cutpoints are commonly used in children. The first are often referred to as the Cole or International Obesity Task Force cutpoints (IOTF), in recognition of the researcher who developed the cutpoints and the organization that initially endorsed their use (9). The IOTF age- and gender-specific cut-points for 2- to 17-year-olds are linked, using growth curve trajectories, to the health-based adult BMI thresholds of 25 kg/m2 (overweight) and 30 kg/m2 (obese) at entry into adulthood at 18 years of age (9). It is important to note that these cutpoints are based on a growth reference, which describes the growth pattern of the population (in this case representative samples of children from 6 countries), including both healthy and unhealthy children. The second set of pediatric BMI cutpoints that are commonly used in Canada are those of the WHO. In 2005, the WHO released a set of BMI cutpoints for children aged 0 to 5 years that relied on growth standards rather than growth references (10). The WHO growth standards were developed to describe how children should grow to minimize morbidity risk. The WHO growth standards for 0to 5-year-olds were based on children studied from 6 countries (Brazil, Ghana, India, Norway, Oman, and the United States). All of these children lived in conditions favourable to growthdno known health or environmental constraints to growth, mothers adopted recommended breast-feeding and nutritional practices, no maternal smoking during pregnancy, single term birth, and absence of significant morbidity. Using sophisticated mathematical 91 techniques on historical data sets, the WHO extended their BMI growth standards from 5 to 19 years of age (11). In addition to BMI, the waist circumference is also a commonly used anthropometric measure of obesity, and in particular abdominal obesity. The amount of visceral fat, located deep in the abdominal region, is of particular concern to cardiometabolic diseases (12). Accordingly, measures of abdominal obesity, such the waist circumference, provide more robust indices of obesityrelated health risk than BMI alone (13). The waist circumference thresholds that are currently used to denote abdominal obesity in Canadian men and women are 102 cm and 88 cm, respectively (6,7). Although the waist circumference is the most popular and recommended measure, the waist-to-hip ratio and the waist-toheight ratio are other anthropometric measures that are commonly used to assess abdominal obesity. Issues around these 3 different abdominal obesity measures has been discussed in detail elsewhere (14). Although BMI and waist circumference are very useful for population surveillance and research conducted in groups of people, these measures are rough guides for predicting obesityrelated risk within a given individual. There are several options for classifying obesity that rely on these anthropometric measures and clinical parameters that together guide decision making for a specific patient. One such system that has recently gained traction is the Edmonton Obesity Staging System (15). This system is based on BMI and simple clinical assessments including a medical history, clinical and functional assessments, and diagnostic investigations that are widely used in clinical practice and therefore readily available. Although it is beyond the scope of this article to review such classification systems in detail, it is important to recognize that they exist and that they play an important role in the management of obesity in the medical care setting. Prevalence of Obesity BMI A simple metric that is often used to highlight the magnitude a public health issue is to determine the prevalence of the condition and to examine how that prevalence has changed over time. The prevalence refers to the proportion of the population that has the condition. Information on the prevalence of obesity in Canadian adults, based on nationally representative data sets and a BMI cutpoint of 30 kg/m2, are available from several surveys that date back as far as 1970. A summary of the findings from these surveys are provided in Table 1 and illustrated in Figure 1 (16e25). Three key points can be taken from this table and figure. First, there has been a steady increase in the prevalence of obesity in Canadian adults over the past 4 decades, increasing from 10% in the 1970/72 Nutrition Canada Survey (16) to 26% in the 2009/11 Canadian Health Measures Survey (23). Second, over the last decade the prevalence of obesity has continued to increase (by about 2% to 3%) in Canadian adults. This pattern is different than that seen in many other countries, where the prevalence of obesity leveled off in the first decade of the 21st century (26). Third, the modality by which BMI is assessed greatly impacts the prevalence rate such that at any point in time the prevalence based on measured heights and weights is much higher than the prevalence based on self-reported heights and weights, implying that caution should be used when interpreting data based on self-reported measures. Surveys that simultaneously collected both measured and self-reported heights and weights, such as the 2004 Canadian Community Health Survey, indicate that the typical Canadian adult overestimates their height and underestimates their weight, and that the prevalence of obesity is underestimated by about 7% when self-reported measures are used (25). Author's personal copy 92 I. Janssen / Can J Diabetes 37 (2013) 90e96 Table 1 Prevalence of obesity in Canadian adults in different national surveys based on a BMI cutpoint of 30 kg/m2 Year of survey Surveys that obtained measured heights and weights 1970e1972 1978e1979 1981 1986e1992 1988 2004 2005 2008 2007e2009 2009e2011 Surveys that obtained self-reported heights and weights 1985 1990 1994 to 1995 1996 to 1997 1998 to 1999 2000e2001 2003 2005 2007 2007e2009 2008 2009 2010 2011 Survey name and reference Age limits of study sample Prevalence (%) of obesity Both sexes Men Women Nutrition Canada Survey (16) Canada Health Survey (17) Canada Fitness Survey (18) Canada Heart Health Surveys (19) Campbell’s Survey on the Well-Being of Canadians (20) Canadian Community Health Survey (17) Canadian Community Health Survey (21) Canadian Community Health Survey (21) Canadian Health Measures Survey (22) Canadian Health Measures Survey (23) 18 years 18 years 20 e 69 years 18 e 74 years 20 e 69 years 18 years 18 years 18 years 18 e 79 years 18 e 79 years 9.7 13.8 8.9 14.8 9.1 23.1 24.4 25.1 23.9 26.1 7.6 11.5 8.9 12.4 9.0 22.9 25.7 26.0 24.2 27.2 11.7 15.7 8.9 16.0 9.2 23.2 23.1 24.2 23.6 25.1 Health Promotion Survey (24) Health Promotion Survey (24) National Population Health Survey (21) National Population Health Survey (21) National Population Health Survey (21) Canadian Community Health Survey (21) Canadian Community Health Survey (21) Canadian Community Health Survey (21) Canadian Community Health Survey (21) Canadian Health Measures Survey (25) Canadian Community Health Survey (21) Canadian Community Health Survey (21) Canadian Community Health Survey (21) Canadian Community Health Survey (21) 18 years 18 years 18 years 18 years 18 years 18 years 18 years 18 years 18 years 18e79 years 18 years 18 years 18 years 18 years 5.6 9.2 12.8 12.3 14.3 14.8 15.3 15.8 16.8 20.2 17.2 17.9 18.1 18.3 NA NA 12.6 12.9 14.6 15.4 16.0 16.7 17.9 20.7 18.3 19.0 19.8 19.8 NA NA 13.1 11.7 14.1 14.1 14.5 14.7 15.8 19.7 16.2 16.7 16.5 16.8 BMI, body mass index; NA, not available. The most current data on obesity in Canadian adults based on measured heights and weights comes from the 2009/11 Canadian Health Measures Survey (23). Data from that survey, which are summarized in Table 2, indicate that 34% of the adult population is overweight and that an additional 26% are obese. Conversion of these prevalence values to absolute numbers indicates that there are approximately 9 million overweight adults and 7 million obese adults in Canada. It is also noteworthy that 4% of the adult population is in the class III obese category, which equates to almost 1 million people, about two-thirds of whom are women. Examination of the obesity subclasses in 1978/79 and 2009/11 indicate that the proportion of the obese population that are in the class II and III categories has increased over time. Specifically, in 1978/79 approximately 17% of obese adults were in the class II category and 6% were in the class III category (17). In 2009/11 approximately 24% of obese adults were in the class II category and 14% were in the class III category (23). Thus, looking at obesity as a whole (e.g. BMI 30 kg/m2) does not fully capture the extent to which obesity-related health risk has changed in the Canadian population in recent decades. National level data on the prevalence of obesity in children does not date back as far as the adult data and is not as abundant (Table 3) (21,22,27e32). Based on measured heights and weights and the IOTF cutpoints, the prevalence of childhood obesity increased from <2% in 1981 (27) to 9% at present (23). Thus, the prevalence of childhood obesity in Canadian children has tripled in approximately 1 generation. The most recent survey data for the pediatric population are based on the 2009/11 Canadian Health Measures Survey and the WHO cutpoints (Table 4) (23). These data indicate that 20% of Canadian school-aged children are overweight and that an additional 12% are obese. Thus, within Canada there are almost 1 million overweight and 600 000 obese school-aged children. Waist circumference and abdominal obesity Figure 1. Temporal trends in the prevalence (%) of obesity in Canadian adults based on data from several nationally representative surveys. The prevalence of abdominal obesity in Canadian adults and youth is available from 4 surveys that data back to 1981 (Table 5) (33,34). Within adults, the prevalence of abdominal obesity increased from 11% in 1981 to 36% in 2007/09 (33). At the same time, the prevalence of abdominal obesity in youth (12- to 19-yearolds) increased from 2% to 13% (33). It is noteworthy that the prevalences of overall obesity, as assessed by BMI, and abdominal obesity, as assessed by waist circumference, were almost identical in 1981. Conversely, in 2007/09, the prevalence of abdominal obesity (37% in adults, 13% in youth) was considerably higher than the prevalence of overall obesity (24% in adults, 8% in youth). This indicates that over the past 30 years there has been a shift in the obesity phenotype within Canada. Specifically, for any given BMI the current population has a higher waist circumference and more abdominal fat than the population did 30 years ago (35). This is Author's personal copy I. Janssen / Can J Diabetes 37 (2013) 90e96 93 Table 2 Distribution of the adult (aged 18 years) Canadian population according to BMI category based on measured heights and weights from the 2009e2011 Canadian Health Measures Survey (23) BMI range (kg/m2) BMI category <18.5 18.5e24.9 25.0e29.9 30 30e34.9 35.0e39.9 40.0 Underweight Normal weight Overweight Obese Class I Class II Class III Prevalence (%) Number of people in Canada* Both sexes Men Women 2.0 37.6 34.2 26.1 16.2 6.3 3.6 1.3 31.6 39.9 27.2 19.5 5.5 2.2 2.6 43.7 28.6 25.1 12.9 7.2 5.0 Both sexes 10 9 6 4 1 523 056 057 941 278 694 968 603 449 143 835 833 715 287 Men 4 5 3 2 167 070 139 503 511 708 283 Women 452 360 473 601 773 449 379 5 3 3 1 356 986 917 438 767 986 684 152 089 669 234 061 266 907 BMI, body mass index. * Estimated by multiplying the prevalence values by the population counts of adults in the 2011 Canadian Census of Population. another example of why caution should be used when considering temporal changes in obesity based solely on a BMI threshold of 30 kg/m2. Such an approach can be misleading and lead to an underestimation of the extent of the changes in obesity and its impact within the population. Disparities in obesity Although the prevalence of obesity is uniformly high, it is not equal in all demographic groups. There are minimal differences between males and females, outside of class III obesity which is about twice as prevalent in women than men (23). The prevalence of obesity is higher in adults than in children, and within adults the prevalence goes up across young adult (19% in 18- to 39-year-olds), middle aged adult (29% in 40- to 59-year-olds), and older adult (34% in 60- to 79-year-olds) age groups (23). Racial differences also exist. Data based on self-reported heights and weights from the 2000/03 Canadian Community Health Survey indicate that, unlike our American neighbours, the prevalence of obesity is comparable in White (16%), Black (15%), and Latin American (14%) adults (36). Although the prevalence of obesity was reported to be lower in East/Southeast Asians (3%) and South Asians (8%) (36) in this survey, this finding should be interpreted with caution as these prevalences are based on a BMI cutpoint of 30 kg/m2 and the WHO recommends that a BMI cutpoint of 27 kg/m2 be used to denote obesity in these Asian races (37). Conversely, the prevalence of obesity was considerably higher (27%) in the off-reserve Aboriginals that were studied in the 2000/03 Canadian Community Health Survey (36). More recent surveys that have collected BMI within on-reserve Aboriginals indicate that the obesity problem is even more severe in these communities. For instance, the prevalence of adult obesity in the 2008/2010 First Nations Regional Health Survey was 40% (38). In most industrialized countries there is a clear socioeconomic status (SES) gradient for obesity such that the highest prevalence of obesity is observed within the lowest SES groups. The SES gradient, although present, is not as clear and consistent within Canada for reasons that are unclear. For instance, data on measured heights and weights from the 2004 Canadian Community Health Survey indicated that the prevalence of obesity was higher in women that did not graduate from high school by comparison to women with a college or university degree (37% vs. 21%); however, the prevalence of obesity was not different in women in the lowest income group by comparison to women in the highest income group (21% vs. 20%) (17). In men, there was a clear SES gradient for obesity based on both education and income (17). There are several notable geographic differences in obesity with Canada. Provincial/Territorial representative data for adults, based on the last time it was reported for both measured (2004 Canadian Community Health Survey [17]) and self-reported (2011 Canadian Table 3 Prevalence of obesity in Canadian children and youth in different national surveys based on BMI Year of survey Surveys that obtained measured height and weight 1981 2004 Survey name and reference Age limit of sample Cutpoints used to define obesity IOTF cutpoints WHO cutpoints 7e13 years 2e5 years 6e11 years 12e17 years 12e17 years 12e17 years 6e11 years 12e17 years 3e5 years 5e11 years 12e17 years 1.7 in boys, 2.0 in girls 6.3 8.0 9.4 9.2 7.8 11.6 8.3 3.5 7.9 8.9 NR 10.6 14.3 12.4 NR NR 13.2 NR NR 13.1 10.2 Health Behaviour in School-Aged Children Survey (31) Health Behaviour in School-Aged Children Survey (31) Canadian Community Health Survey (21) Health Behaviour in School-Aged Children Survey (31) 11e15 11e15 12e17 11e15 6 in boys, 4 in girls 7 in boys, 4 in girls 4.8 6 in boys, 5 in girls NR NR NR NR National Longitudinal Study of Children and Youth (27) Canadian Health Measures Survey (32) 7e13 years 6e11 years 10.2 in boys, 8.9 in girls 11.7 NR 19.2 Canada Fitness Survey (27) Canadian Community Health Survey (28) 2005 2008 2007e2009 Canadian Community Health Survey (21) Canadian Community Health Survey (21) Canadian Health Measures Survey (22, 29) 2009e2011 Canadian Health Measures Survey (23, 30) Surveys that obtained self-reported height and weight from youth 2001e2002 2005e2006 2005 2009e2010 Surveys that obtained parental-reported height and weight 1996 2007e2009 BMI, body mass index; IOTF, International Obesity Task Force; NR, not reported; WHO, World Health Organization. years years years years Author's personal copy 94 I. Janssen / Can J Diabetes 37 (2013) 90e96 Table 4 Distribution of the Canadian school-aged child and youth (aged 5e17 years) population according to BMI category based on the WHO cutpoints and measured heights and weights from the 2009e2011 Canadian Health Measures Survey (23) BMI category Thinness Normal weight Overweight Obese Number of people in Canada* Prevalence (%) Both sexes Boys Girls Both sexes Boys 2.2 66.4 19.8 11.7 3.2 62.3 19.4 15.1 1.0 70.8 20.2 8.0 106 1 602 993 584 82 1 602 499 388 793 462 573 268 Girls 309 462 001 398 24 1 733 494 195 484 450 572 870 BMI, body mass index; WHO, World Health Organization. * Estimated by multiplying each prevalence value by the population counts of 5-17 year old children in the 2011 Canadian Census of Population. Community Health Survey [21]) heights and weights, are provided in Table 6. Irrespective of time point and measurement modality, the prevalence of obesity in adults was notably higher than the national average in the Maritime provinces, Nunavut and Northwest Territories. The prevalence was notably lower than the national average in Quebec, British Columbia and the Yukon. Gradients in obesity according to urban/rural location are also evident within Canada, such that the obesity prevalence is highest in the most rural locations and lowest within the most urban locations (39). Differences also exist across urban areas such that adults living in highly sprawled metropolitan areas with a low population density per land area (e.g. Halifax, Moncton, Sudbury) have, on average, slightly higher BMI values than adults living in metropolitan areas that are less sprawled (e.g. Montreal, Victoria, Windsor) (40). Finally, with a given urban areas there are neighbourhood differences in BMI and obesity that could be impacted by social and physical features such as walkability, presence of parks, and the types of food retailers (41,42). Health Burden of Obesity “Thou seest I have more flesh than another man, and therefore more frailty” William Shakespeare, The Famous History of the Life of King Henry the Eight Relative risks of diseases in obese persons Hippocrates was the first to note that obesity impacts health (43). His initial observations were made in 400 BC and were limited to infertility and early death. At present, there is evidence that obesity is causally related to dozens of diseases. These diseases include, but are not limited to: chronic obstructive pulmonary disease, several cancers (lung, breast cancer, mouth and oropharynx, esophagus, endometrium, kidney, gallbladder, liver, prostate), metabolic syndrome, dyslipidemia, non-alcoholic fatty liver disease, hypertension, congestive heart failure, deep vein thrombosis, gout, reproductive disorders and infertility (e.g. polycystic ovary syndrome), complications in pregnancy, complications in surgery, osteoarthritis and back pain. A common way that researchers quantify the effects of obesity on individual diseases is to calculate the “relative risk” that a group of obese participants have of developing a disease relative to a group of participants with a BMI in the normal weight range. Relative risk values between 1.01 and 1.49 (or a 1% to 49% increased risk) reflect a weak effect, relative risk values between 1.5 and 2.99 (or a 50% to 199% increased risk) reflect a moderate effect, whereas relative risks of 3.0 or greater (or a 200% increased risk) reflect a strong effect (44). The relative risks that obese persons have of developing a few of the many diseases that can be caused by obesity, as obtained from meta-analyses, are shown in Table 7 (45e47). These data show that obesity has subtle effects on some diseases (e.g. stroke, dementia), modest effects on others (e.g. colorectal cancer, low back pain) and strong effects on others (e.g. type 2 diabetes, pulmonary embolism). The full impact of obesity; however, relates to the fact that obesity impacts such a wide variety and number of diseases and health conditions. Population attributable risks for obesity-related diseases To provide information on the population-level impact of obesity, information on the prevalence of obesity can be combined with information of the relative risks of developing a disease to calculate the population attributable risk (PAR%). The PAR% reflects the proportion of a disease within the population that is directly caused or attributable to a specific risk factor, such as obesity. The PAR% will increase as the prevalence of obesity increases and/or as the relative risks for the diseases increases. Table 7 contains the obesity PAR% values for Canadian adults for a few of the many diseases that can be caused by obesity. For the diseases with small relative risk values, such as stroke and dementia, the PAR% values for Canadian adults are in the order of 5% to 10%. For the diseases with modest relative risk values, such as colorectal cancer and low back pain, the PAR% values are in the order of 15% to 30%. For the diseases with strong relative risk values, the PAR% values are above 30%, and in the case of type II diabetes, are in excess of 60%. Thus, it is clear that within the adult population in Canada a significant proportion of several chronic diseases are directly attributable to obesity. Note that a key limitation of the PAR% approach is that the relative risks that are used for the PAR% calculations are based on meta-analyses that are not limited to Canadians. Thus, a key assumption is that the magnitude of the relative risks that occur globally are consistent in the Canadian population. Obesity and mortality The relationship between BMI and mortality risk has been widely studied and debated. This relationship is often characterized Table 5 Prevalence of abdominal obesity in Canadian adults and youth in different national surveys based on waist circumference cutpoints of 102 cm in men and 88 cm in women or equivalent age-specific values in youth Year of survey Adults 1981 1986e1992 1988 2007e2009 Youth 1981 1988 2007e2009 Survey name and reference Age limits of study sample Prevalence (%) of abdominal obesity Both sexes Males Females Canada Fitness Survey (33) Canada Heart Health Surveys (34) Campbell’s Survey on the Well-Being of Canadians (33) Canadian Health Measures Survey (33) 20e69 18e74 20e69 20e69 years years years years 11.4 16.5 14.2 35.6 10.1 15.4 12.8 30.7 12.8 17.6 15.5 40.6 Canada Fitness Survey (33) Campbell’s Survey on the Well-Being of Canadians (33) Canadian Health Measures Survey (33) 12e19 years 12e19 years 12e19 years 1.8 2.4 12.8 0.6 2.2 9.1 3.0 2.7 16.8 Author's personal copy I. Janssen / Can J Diabetes 37 (2013) 90e96 Table 6 Prevalence of obesity (BMI 30 kg/m2) in Canadian adults by province/territory Province/territory 2004 Canadian Community Health Survey (17) (measured heights and weights) 2011 Canadian Community Health Survey (21) (self-reported heights and weights) Newfoundland and Labrador Prince Edward Island Nova Scotia New Brunswick Quebec Ontario Manitoba Saskatchewan Alberta British Columbia Nunavut Northwest Territories Yukon 33.9 26.3 24.7 29.2 21.8 22.2 28.2 30.8 25.2 19.2 NA NA NA 27.3 23.4 23.6 24.9 16.9 18.4 21.8 21.9 19.1 15.1 24.4 27.2 18.7 as being of a U- of J-shape such that mortality risk is increased at the low and high end of the BMI spectrum relative to the middle of the spectrum. A recent meta-analysis of 97 studies that collectively contained 2.88 million people, reported that relative to normal weight adults, the risk of all-cause mortality was 6% lower in overweight adults and 18% higher in obese adults (48). Although mortality risk was not significantly increased in class I obese adults in that meta-analysis, it was increased by 29% in class II and III adults (48). Data based on a 13-year follow-up of the 1981 Canada Fitness Survey, a representative survey of 20- to 64-year-olds, indicate that the relative risk of mortality is increased by 25% in class I obese Canadian adults and by 196% in class II and III obese Canadian adults (18). Based on these relative risk estimates and the Table 7 Relative risk and PAR% for selected* obesity-related diseases in Canadian adults Endocrine and metabolic disorders Type 2 diabetes (45) Gallbladder disease (45) Cancer Colorectal (45) Pancreatic (45) Cardiovascular disease Coronary artery disease (45) Stroke (45) Lung disease Asthma (45) Pulmonary embolism (45) Musculoskeletal disorders Osteoarthritis (45) Chronic back pain (45) Mental health disorders Depression (47) Dementia (46) current prevalence of obesity (Table 2) (23) the PAR% value for premature mortality (e.g. deaths that occur before age 65) in Canadian adults that is directly attributable to obesity is estimated to be 20%. Based on this PAR% value and the number of deaths from all-causes that occurred within 20- to 64-year-old Canadians (52 713 deaths in 2011 [21]), it can be estimated that 10 648 premature deaths occurred in Canada in 2011 as a direct consequence of obesity. Economic Impact of Obesity BMI, body mass index; NA, not available. Disease and reference for summary relative risk 95 Summary relative risky Population attributable risk (%)z Men Women Men Women 6.74 1.43 12.41 2.32 60.9 10.4 74.1 24.5 1.95 2.29 1.66 1.60 20.5 25.9 14.2 13.1 1.29 1.23 1.80 1.15 7.3 5.9 16.7 3.6 1.20 3.51 1.25 3.51 5.1 40.5 5.9 38.7 2.76 1.59 1.80 1.59 32.3 13.8 16.7 12.9 1.31 1.42 1.67 1.42 7.7 10.2 14.4 9.5 BMI, body mass index; PAR%, population attributable risk. * Obesity is a risk factor for several other diseases and medical problems that include, but may not be limited to: chronic obstructive pulmonary disease, several cancers (lung, breast cancer, mouth and oropharynx, esophagus, endometrium, kidney, gallbladder, liver, prostate), metabolic syndrome, dyslipidemia, nonalcoholic fatty liver disease, hypertension, congestive heart failure, deep vein thrombosis, gout, reproductive disorders/infertility (e.g. polycystic ovary syndrome), complications in pregnancy, and complications in surgery. y Relative risk of developing disease in obese individuals vs. individuals with a normal BMI as obtained in meta-analyses. z Calculated based on the summary relative risks and the prevalence of obesity in adult men and women in the 2009e2011 Canadian Health Measures Survey. A common approach for assessing the economic burden of a condition like obesity is to estimate the impact that it has on health care expenditures. One method that has been used to capture the health care costs for obesity in adults in the province of Ontario is to link population survey data to patient-level administrative data. Such analyses suggest that hospitalization ($67 per year increase), day procedure ($108 per year increase) and physician costs ($176 per year increase) are all higher in obese adults than in adults with a normal weight BMI (49). In fact, the total health care costs was, on average, 25% higher in the obese survey participants (49). A study of a similar design conducted on grade 5 children (approximately 10 years old) from the province of Nova Scotia indicated that total direct health care costs over a 3-year period were 21% higher in obese children than in normal weight children (50). Although the aforementioned studies provide insightful information on the health care costs attributable to obesity at the individual-level, their findings are difficult to extrapolate to the population-level. The most comprehensive and recent estimates of the population-level economic burden of obesity in Canadian adults are for the year 2006 (51). In addition to the direct medical care costs (e.g. hospitalizations, drug therapy, physician and emergency room visits, and out-of-pocket costs for medications, supplies and treatment), the 2006 estimates provide information on indirect costs (e.g. costs related to short- and long-term disability and lost productivity due to illness or premature death). These estimates were generated by multiplying the PAR% for 18 different obesityrelated chronic diseases in Canadian adults by the overall cost of each of the 18 diseases. The estimates suggest that, in the year 2006, adult obesity in Canada accounted for $3.9 billion in direct medical care costs and an addition $3.2 billion in indirect costs. The corresponding costs for overweight (pre-obesity) were $2.1 billion and $1.9 billion, respectively. Thus, the total economic burden of excess weight in Canada can be estimated to be in excess of $11 billion annually. Note that this dollar value has likely increased considerably since 2006 subsequent to population growth, an aging population, and rapidly inflating medical care costs. “The quality of your life is the quality of your relationships.” Anthony Robbins, self-help author and motivational speaker The approaches that have been used to assess the health and economic burden of obesity in Canada, although informative, are limited in scope. For instance, although indirect health care costs capture the costs related to disability and lost productivity that result from an obesity-related illness, they do not capture losses in earning power that obese persons may have. As highlighted in a recent systematic review on the stigma of obesity, obese workers face stereotypical attitudes from employers and disadvantages in hiring, promotions and wages because of their weight (52). The findings from that review also highlight that obese students face significant obstacles to educational achievement throughout their schooling years (52), which could ultimately worsen the intellectual capital of the population as a whole. Finally, the social capital of the population is also negatively impacted by obesity as obese individuals (particularly females) may be confronted with weight Author's personal copy 96 I. Janssen / Can J Diabetes 37 (2013) 90e96 bias and negative stereotypes in a range of interpersonal relationships including relationships with sexual partners, parents, siblings and friends and their overall social network (52). Conclusion At present, approximately 8 million Canadians are obese, which represents 26% of adults and 12% of school-aged children. Even more troublesome, 37% of adults and 13% of youth are abdominally obese. Obesity is a major contributor to morbidity and mortality and it has been estimated that 61% to 74% of type 2 diabetes cases, 17% to 32% of osteoarthritis cases, 14% to 21% of colorectal cancers, 8% to 14% of depression cases, and 20% of premature deaths that occur in Canadian adults are attributable to obesity. Obesity places a large economic burden on the country, accounting for $3.9 billion in direct health care costs and $3.2 billion in indirect costs in 2006. Acknowledgments IJ holds a Tier 2 Canada Research Chair award. 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