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KNOWLEDGE FOR THE BENEFIT OF HUMANITY 
ADVANCED NUTRITION (HFS4352) OBESITY Myths, Presumptions, and Facts 
Mohd Razif Shahril, PhD 
School of Nutrition & Dietetics 
Faculty of Medicine and Health Sciences 
Universiti Sultan Zainal Abidin 
1
2
This lecture is prepared by Mohd Razif Shahril, PhD based on 
Casazza et al. 2013. N Eng J Med 368(5):446-454 
3
Outline 
•Introduction 
•Myths about obesity 
•Presumptions about obesity 
•Facts about obesity 
•Implications 
4
Introduction 
•Human tendency to seek explanations for observed phenomena and everyday experience 
–contribute to strong convictions about obesity, despite the absence of supporting data 
•Unsupported beliefs results in: 
–Ineffective policy 
–Unhelpful or unsafe clinical and public health recommendations 
–Unproductive allocation of resources 
•Randomized experiment offer the strongest evidence for drawing causal inferences 
–Observational association are subject to substantial confounding, fraught with measurement problems and typically small and inconsistent 
5
cont. Introduction 
GLOSSARY 
•Myths 
–beliefs held to be true despite substantial refuting evidence 
•Presumptions 
–beliefs held to be true for which convincing evidence does not yet confirm or disprove their truth 
•Facts 
–propositions backed by sufficient evidence to consider them empirically proved for practical purposed 
6
Myths about Obesity 
7 
Beliefs held to be true despite substantial refuting evidence
Myth 1# 
•Small sustained changes in energy intake or expenditure will produce large, long-term weight changes 
•Basis of conjecture: 
–National health guidelines and reputable website advertises that large changes in weight accumulate indefinitely after small sustained daily lifestyle modification (e.g., walking for 20 minutes or eating two additional potato chips) 
8
Myth 1# - Refuting Evidence 
•Predictions rely on 3500-kcal rule, which equates a weight alteration of 0.45 kg to a 3500-kcal cumulative deficit or increment 
(Hall 2010; Thomas et al. 2011) 
•Applying this rule to cases in which small modifications are made for long periods violates the assumption of the original model derived from short term experiments 
(Hall 2010; Thomas et al. 2010) 
•Individual variability affects changes in body composition in response to changes in energy intake and expenditure with analysis predicting substantially smaller changes in weight 
(Thomas et al. 2010) 
9
cont. Myth 1# - Refuting Evidence 
Example: 
•3500-kcal rule predicts that a person who increases daily energy expenditure by 100 kcal by walking a mile per day will lose more than 22.7 kg over a period of 5 years 
•The true weight lost is only about 4.5 kg assuming no compensatory increase in caloric intake 
(Thomas et al. 2011) 
10
Myth 2# 
•Setting realistic goals for weight loss is important, because otherwise patients will become frustrated and lose less weight 
•Basis of conjecture: 
–According to goal-setting theory, unattainable goals impair performance and discourage goal-attaining behaviour 
–In obesity treatment, incongruence between desired and actual weight loss is thought to undermine the patient’s perceived ability to attain goals, which may lead to the discontinuation of behaviours necessary for weight loss 
11
Myth 2# - Refuting Evidence 
•Empirical data indicate no consistent negative association between ambitious goals and program completion of weight loss 
•More ambitious goals are sometimes associated with better weight loss outcomes 
•Two studies showed that interventions designed to improve weight loss outcomes by altering unrealistic goals did not improve outcomes. 
(Linde et al. 2005) 
12
Myth 3# 
•Large, rapid weight-loss is associated with poorer long- term weight loss outcomes, as compared to slow, gradual weight loss. 
•Basis of conjecture: 
–This notion probably emerged in reaction to the adverse effects of nutritionally insufficient very-low-calorie diets (<800 kcal per day) in the 1960s. 
–The belief has persisted, has been repeated in textbooks and recommendations from health authorities, and has been offered as a rule by dietitians. 
13
Myth 3# - Refuting Evidence 
•A meta-analysis of randomized, controlled trials that compared rapid weight loss (achieved with very-low- energy diets) with slower weight loss (achieved with low- energy diets) at the end of short term follow-up (<1 yr) and long-term follow-up (≥1 year) showed that, 
–despite the association of very-low-energy diets with significantly greater weight loss at the end of short-term follow-up (16.1% of body weight lost, vs. 9.7% with low energy diets), there was no significant difference between the very-low-energy diets and low- energy diets with respect to weight loss at the end of long-term follow-up 
(Nackers et al. 2010) 
14
cont. Myth 3# - Refuting Evidence 
•Within weight-loss trials, more rapid and greater initial weight loss has been associated with lower body weight at the end of long-term follow-up. 
(Astrup & Rossner 2000; Nackers et al. 2010) 
•Although it is not clear why some obese persons have a greater initial weight loss than others do 
–a recommendation to lose weight more slowly might interfere with the ultimate success of weight-loss efforts. 
15
Myth 4# 
•It is important to assess the stage of change or diet readiness in order to help patients who request weight- loss treatment 
•Basis of conjecture: 
–Many believe that patients who feel ready to lose weight are more likely to make the required lifestyle changes 
16
Myth 4# - Refuting Evidence 
•Readiness does not predict the magnitude of weight loss or treatment adherence among persons who sign up for behavioural programs or who undergo obesity surgery. 
(Fontaine & Wiersema 1999) 
•Five trials (involving 3910 participants; median study period, 9 months) specifically evaluated stages of change (not exclusively readiness) and showed an average weight loss of less than 1 kg and no conclusive evidence of sustained weight loss. 
(Casazza et al. 2013) 
17
cont. Myth 4# - Refuting Evidence 
•The explanation may be simple — people voluntarily choosing to enter weight-loss programs are, by definition, at least minimally ready to engage in the behaviours required to lose weight. 
18
Myth 5# 
•Physical-education classes, in their current form, play an important role in reducing or preventing childhood obesity. 
•Basis of conjecture: 
–The health benefits of physical activity of sufficient duration, frequency, and intensity are well established and include reductions in adiposity 
19
Myth 5# - Refuting Evidence 
•Findings in three studies that focused on expanded time in physical education indicated that even though there was an increase in the number of days children attended physical-education classes, the effects on body-mass index (BMI) were inconsistent across sexes and age groups. 
(Kriemler et al. 2010) 
•Two meta-analyses showed that even specialized school-based programs that promoted physical activity were ineffective in reducing BMI or the incidence or prevalence of obesity. 
(Dobbins et al. 2009) 
20
Myth 6# 
•Breast feeding is protective against obesity 
•Basis of conjecture: 
–The belief that breast-fed children are less likely to become obese has persisted for more than a century and is passionately defended 
21
Myth 6# - Refuting Evidence 
•WHO report states that persons who were breast-fed as infants are less likely to be obese later in life and that the association is ―not likely to be due to publication bias or confounding.‖ 
–But, WHO actually showed clear evidence of publication bias in the published literature it synthesized 
(Horta et al. 2007; Casazza et al. 2012) 
•Studies including within-family sibling analyses and a randomized, controlled trial involving more than 13,000 children who were followed for more than 6 years 
–provided no compelling evidence of an effect of breast-feeding on obesity 
(Kramer et al. 2007) 
22
cont. Myth 6# - Refuting Evidence 
•Breast-feeding status ―no longer appears to be a major determinant‖ of obesity risk 
–speculated that breast-feeding may yet be shown to be modestly protective, current evidence to the contrary 
(Gillman 2011) 
23
Presumption about Obesity 
24 
Beliefs held to be true for which convincing evidence does not yet confirm or disprove their truth
Presumption 1# 
•Regularly eating (versus skipping) breakfast is protective against obesity. 
•Basis of conjecture: 
–Skipping breakfast purportedly leads to overeating later in the day 
25
Presumption 1# - Best Evidence 
•Two randomized, controlled trials that studied the outcome of eating versus skipping breakfast showed no effect on weight in the total sample. 
•However, the findings in one study suggested that the effect on weight loss of being assigned to eat or skip breakfast was dependent on baseline breakfast habits. 
(Schlundt et al. 1992) 
26
Presumption 2# 
•Early childhood is the period in which we learn exercise and eating habits that influence our weight throughout life 
•Basis of conjecture: 
–Weight-for-height indexes, eating behaviours, and preferences that are present in early childhood are correlated with those later in life 
27
Presumption 2# - Best Evidence 
•Although a person’s BMI typically tracks over time (i.e., tends to be in a similar percentile range as the person ages), longitudinal genetic studies suggest that such tracking may be primarily a function of genotype rather than a persistent effect of early learning. 
(Brisbois et al. 2012) 
•No randomized, controlled clinical trials provide evidence to the contrary. 
28
Presumption 3# 
•Eating more fruits and vegetables will result in weight loss or less weight gain, regardless of whether any other changes to one’s behaviour or environment are made 
•Basis of conjecture: 
–By eating more fruits and vegetables, a person presumably spontaneously eats less of other foods, and the resulting reduction in calories is greater than the increase in calories from the fruit and vegetables 
29
Presumption 3# - Best Evidence 
•It is true that the consumption of fruits and vegetables has health benefits. 
•However, when no other behavioural changes accompany increased consumption of fruits and vegetables, weight gain may occur or there may be no change in weight. 
(Rolls et al. 2004) 
30
Presumption 4# 
•Weight cycling (i.e., yo-yo dieting) is associated with increased mortality. 
•Basis of conjecture: 
–In observational studies, mortality rates have been lower among persons with stable weight than among those with unstable weight 
31
Presumption 4# - Best Evidence 
•Although observational epidemiologic studies show that weight instability or cycling is associated with increased mortality, such findings are probably due to confounding by health status. 
•Studies of animal models do not support this epidemiologic association. 
(Vasselli et al. 2005) 
32
Presumption 5# 
•Snacking contributes to weight gain and obesity 
•Basis of conjecture: 
–Snack foods are presumed to be incompletely compensated for at subsequent meals, leading to weight gain 
33
Presumption 5# - Best Evidence 
•Randomized, controlled trials do not support this presumption. 
(Whybrow et al. 2007) 
•Even observational studies have not shown a consistent association between snacking and obesity or increased BMI. 
34
Presumption 6# 
•The built environment, in terms of sidewalk and park availability, influences the incidence or prevalence of obesity. 
•Basis of conjecture: 
–Neighbourhood-environment features may promote or inhibit physical activity, thereby affecting obesity 
35
Presumption 6# - Best Evidence 
•According to a systematic review, virtually all studies showing associations between the risk of obesity and components of the built environment (e.g., parks, roads, and architecture) have been observational. 
(Ferdinand et al. 2012) 
•Furthermore, these observational studies have not shown consistent associations, so no conclusions can be drawn. 
36
Facts about Obesity 
37 
Propositions backed by sufficient evidence to consider them empirically proved for practical purposed
Fact 1# 
•Although genetic factors play a large role, heritability is not destiny; calculations show that moderate environmental changes can promote as much weight loss as the most efficacious pharmaceutical agents available. 
(Hewitt 1997) 
•Practical implication for public health, policy or clinical recommendations: 
–If we can identify key environmental factors and successfully influence them, we can achieve clinically significant reductions in obesity 
38
Fact 2# 
•Diets (i.e., reduced energy intake) very effectively reduce weight, but trying to go on a diet or recommending that someone go on a diet generally does not work well in the long-term. 
(Heymsfield 2011) 
•Practical implication for public health, policy or clinical recommendations: 
–This seemingly obvious distinction is often missed, leading to erroneous conceptions regarding possible treatments for obesity. 
–Recognizing this distinction helps our understanding that energy reduction is the ultimate dietary intervention required and approaches such as eating more vegetables or eating breakfast daily are likely to help only if they are accompanied by an overall reduction in energy intake. 
39
Fact 3# 
•Regardless of body weight or weight loss, an increased level of exercise increases health 
(Carroll & Dudfield 2004) 
•Practical implication for public health, policy or clinical recommendations: 
–Exercise offers a way to mitigate the health-damaging effects of obesity, even without weight loss 
40
Fact 4# 
•Physical activity or exercise in a sufficient dose aids in long term weight maintenance 
(Carrol & Dudfield 2004; Wu et al. al. 2009) 
•Practical implication for public health, policy or clinical recommendations: 
–Physical activity programs are important, especially for children, but for physical activity to affect weight, there must be a substantial quantity of movement, not mere participation. 
41
Fact 5# 
•Continuation of conditions that promote weight loss promotes maintenance of lower weight. 
(Middleton et al. 2012) 
•Practical implication for public health, policy or clinical recommendations: 
–Obesity is best conceptualized as a chronic condition, requiring on-going management to maintain long-term weight loss. 
42
Fact 6# 
•For overweight children, programs that involve the parents and the home setting promote greater weight loss or maintenance. 
(McLean et al. 2003) 
•Practical implication for public health, policy or clinical recommendations: 
–Programs provided only in schools or other out-of-home structured settings may be convenient or politically expedient, but programs including interventions that involve parents and are provided at home are likely to yield better outcomes. 
43
Fact 7# 
•Provision of meals and use of meal-replacement products promote greater weight loss. 
(Wing et al. 2001) 
•Practical implication for public health, policy or clinical recommendations: 
–More structure regarding meals is associated with greater weight loss, as compared with seemingly holistic programs that are based on concepts of balance, variety and moderation. 
44
Fact 8# 
•Some pharmaceutical agents can help patients achieve clinically meaningful weight-loss and maintain the reduction as long as the agents continue to be used. 
(Wright & Aronne 2011) 
•Practical implication for public health, policy or clinical recommendations: 
–While we learn how to alter the environment and individual behaviours to prevent obesity, we can offer moderately effective treatment to obese persons. 
45
Fact 9# 
•In appropriate patients, bariatric surgery results in long- term weight loss and reductions in the rate of incident diabetes and mortality. 
(Sjöström et al. 2004) 
•Practical implication for public health, policy or clinical recommendations: 
–For severely obese persons, bariatric surgery can offer a life- changing, and in some cases lifesaving treatment. 
46
Implications 
47
Implications 
•Myth and presumptions about obesity are common. 
•Many of the myths and presumptions about obesity reflect a failure to consider the diverse aspects of energy balance. 
–Especially physiological compensation for changes in intake or expenditure 
•Evidence that a technique is beneficial for the treatment of obesity is not necessarily evidence that it will helpful in population-based approaches to the prevention of obesity, and vice versa. 
48
The Concept of Energy Balance 
49
cont. Implications 
•Why do we think or claim we know things that we actually do not know? 
–Cognitive biases lead to an unintentional retention of erroneous beliefs 
–Extensive media coverage 
–Swayed by persuasive yet fallacious arguments 
•As a scientific community, we must always be open and honest with the public about the state of our knowledge and should rigorously evaluate unproved strategies. 
50
Thank You 
51

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Obesity

  • 1. KNOWLEDGE FOR THE BENEFIT OF HUMANITY ADVANCED NUTRITION (HFS4352) OBESITY Myths, Presumptions, and Facts Mohd Razif Shahril, PhD School of Nutrition & Dietetics Faculty of Medicine and Health Sciences Universiti Sultan Zainal Abidin 1
  • 2. 2
  • 3. This lecture is prepared by Mohd Razif Shahril, PhD based on Casazza et al. 2013. N Eng J Med 368(5):446-454 3
  • 4. Outline •Introduction •Myths about obesity •Presumptions about obesity •Facts about obesity •Implications 4
  • 5. Introduction •Human tendency to seek explanations for observed phenomena and everyday experience –contribute to strong convictions about obesity, despite the absence of supporting data •Unsupported beliefs results in: –Ineffective policy –Unhelpful or unsafe clinical and public health recommendations –Unproductive allocation of resources •Randomized experiment offer the strongest evidence for drawing causal inferences –Observational association are subject to substantial confounding, fraught with measurement problems and typically small and inconsistent 5
  • 6. cont. Introduction GLOSSARY •Myths –beliefs held to be true despite substantial refuting evidence •Presumptions –beliefs held to be true for which convincing evidence does not yet confirm or disprove their truth •Facts –propositions backed by sufficient evidence to consider them empirically proved for practical purposed 6
  • 7. Myths about Obesity 7 Beliefs held to be true despite substantial refuting evidence
  • 8. Myth 1# •Small sustained changes in energy intake or expenditure will produce large, long-term weight changes •Basis of conjecture: –National health guidelines and reputable website advertises that large changes in weight accumulate indefinitely after small sustained daily lifestyle modification (e.g., walking for 20 minutes or eating two additional potato chips) 8
  • 9. Myth 1# - Refuting Evidence •Predictions rely on 3500-kcal rule, which equates a weight alteration of 0.45 kg to a 3500-kcal cumulative deficit or increment (Hall 2010; Thomas et al. 2011) •Applying this rule to cases in which small modifications are made for long periods violates the assumption of the original model derived from short term experiments (Hall 2010; Thomas et al. 2010) •Individual variability affects changes in body composition in response to changes in energy intake and expenditure with analysis predicting substantially smaller changes in weight (Thomas et al. 2010) 9
  • 10. cont. Myth 1# - Refuting Evidence Example: •3500-kcal rule predicts that a person who increases daily energy expenditure by 100 kcal by walking a mile per day will lose more than 22.7 kg over a period of 5 years •The true weight lost is only about 4.5 kg assuming no compensatory increase in caloric intake (Thomas et al. 2011) 10
  • 11. Myth 2# •Setting realistic goals for weight loss is important, because otherwise patients will become frustrated and lose less weight •Basis of conjecture: –According to goal-setting theory, unattainable goals impair performance and discourage goal-attaining behaviour –In obesity treatment, incongruence between desired and actual weight loss is thought to undermine the patient’s perceived ability to attain goals, which may lead to the discontinuation of behaviours necessary for weight loss 11
  • 12. Myth 2# - Refuting Evidence •Empirical data indicate no consistent negative association between ambitious goals and program completion of weight loss •More ambitious goals are sometimes associated with better weight loss outcomes •Two studies showed that interventions designed to improve weight loss outcomes by altering unrealistic goals did not improve outcomes. (Linde et al. 2005) 12
  • 13. Myth 3# •Large, rapid weight-loss is associated with poorer long- term weight loss outcomes, as compared to slow, gradual weight loss. •Basis of conjecture: –This notion probably emerged in reaction to the adverse effects of nutritionally insufficient very-low-calorie diets (<800 kcal per day) in the 1960s. –The belief has persisted, has been repeated in textbooks and recommendations from health authorities, and has been offered as a rule by dietitians. 13
  • 14. Myth 3# - Refuting Evidence •A meta-analysis of randomized, controlled trials that compared rapid weight loss (achieved with very-low- energy diets) with slower weight loss (achieved with low- energy diets) at the end of short term follow-up (<1 yr) and long-term follow-up (≥1 year) showed that, –despite the association of very-low-energy diets with significantly greater weight loss at the end of short-term follow-up (16.1% of body weight lost, vs. 9.7% with low energy diets), there was no significant difference between the very-low-energy diets and low- energy diets with respect to weight loss at the end of long-term follow-up (Nackers et al. 2010) 14
  • 15. cont. Myth 3# - Refuting Evidence •Within weight-loss trials, more rapid and greater initial weight loss has been associated with lower body weight at the end of long-term follow-up. (Astrup & Rossner 2000; Nackers et al. 2010) •Although it is not clear why some obese persons have a greater initial weight loss than others do –a recommendation to lose weight more slowly might interfere with the ultimate success of weight-loss efforts. 15
  • 16. Myth 4# •It is important to assess the stage of change or diet readiness in order to help patients who request weight- loss treatment •Basis of conjecture: –Many believe that patients who feel ready to lose weight are more likely to make the required lifestyle changes 16
  • 17. Myth 4# - Refuting Evidence •Readiness does not predict the magnitude of weight loss or treatment adherence among persons who sign up for behavioural programs or who undergo obesity surgery. (Fontaine & Wiersema 1999) •Five trials (involving 3910 participants; median study period, 9 months) specifically evaluated stages of change (not exclusively readiness) and showed an average weight loss of less than 1 kg and no conclusive evidence of sustained weight loss. (Casazza et al. 2013) 17
  • 18. cont. Myth 4# - Refuting Evidence •The explanation may be simple — people voluntarily choosing to enter weight-loss programs are, by definition, at least minimally ready to engage in the behaviours required to lose weight. 18
  • 19. Myth 5# •Physical-education classes, in their current form, play an important role in reducing or preventing childhood obesity. •Basis of conjecture: –The health benefits of physical activity of sufficient duration, frequency, and intensity are well established and include reductions in adiposity 19
  • 20. Myth 5# - Refuting Evidence •Findings in three studies that focused on expanded time in physical education indicated that even though there was an increase in the number of days children attended physical-education classes, the effects on body-mass index (BMI) were inconsistent across sexes and age groups. (Kriemler et al. 2010) •Two meta-analyses showed that even specialized school-based programs that promoted physical activity were ineffective in reducing BMI or the incidence or prevalence of obesity. (Dobbins et al. 2009) 20
  • 21. Myth 6# •Breast feeding is protective against obesity •Basis of conjecture: –The belief that breast-fed children are less likely to become obese has persisted for more than a century and is passionately defended 21
  • 22. Myth 6# - Refuting Evidence •WHO report states that persons who were breast-fed as infants are less likely to be obese later in life and that the association is ―not likely to be due to publication bias or confounding.‖ –But, WHO actually showed clear evidence of publication bias in the published literature it synthesized (Horta et al. 2007; Casazza et al. 2012) •Studies including within-family sibling analyses and a randomized, controlled trial involving more than 13,000 children who were followed for more than 6 years –provided no compelling evidence of an effect of breast-feeding on obesity (Kramer et al. 2007) 22
  • 23. cont. Myth 6# - Refuting Evidence •Breast-feeding status ―no longer appears to be a major determinant‖ of obesity risk –speculated that breast-feeding may yet be shown to be modestly protective, current evidence to the contrary (Gillman 2011) 23
  • 24. Presumption about Obesity 24 Beliefs held to be true for which convincing evidence does not yet confirm or disprove their truth
  • 25. Presumption 1# •Regularly eating (versus skipping) breakfast is protective against obesity. •Basis of conjecture: –Skipping breakfast purportedly leads to overeating later in the day 25
  • 26. Presumption 1# - Best Evidence •Two randomized, controlled trials that studied the outcome of eating versus skipping breakfast showed no effect on weight in the total sample. •However, the findings in one study suggested that the effect on weight loss of being assigned to eat or skip breakfast was dependent on baseline breakfast habits. (Schlundt et al. 1992) 26
  • 27. Presumption 2# •Early childhood is the period in which we learn exercise and eating habits that influence our weight throughout life •Basis of conjecture: –Weight-for-height indexes, eating behaviours, and preferences that are present in early childhood are correlated with those later in life 27
  • 28. Presumption 2# - Best Evidence •Although a person’s BMI typically tracks over time (i.e., tends to be in a similar percentile range as the person ages), longitudinal genetic studies suggest that such tracking may be primarily a function of genotype rather than a persistent effect of early learning. (Brisbois et al. 2012) •No randomized, controlled clinical trials provide evidence to the contrary. 28
  • 29. Presumption 3# •Eating more fruits and vegetables will result in weight loss or less weight gain, regardless of whether any other changes to one’s behaviour or environment are made •Basis of conjecture: –By eating more fruits and vegetables, a person presumably spontaneously eats less of other foods, and the resulting reduction in calories is greater than the increase in calories from the fruit and vegetables 29
  • 30. Presumption 3# - Best Evidence •It is true that the consumption of fruits and vegetables has health benefits. •However, when no other behavioural changes accompany increased consumption of fruits and vegetables, weight gain may occur or there may be no change in weight. (Rolls et al. 2004) 30
  • 31. Presumption 4# •Weight cycling (i.e., yo-yo dieting) is associated with increased mortality. •Basis of conjecture: –In observational studies, mortality rates have been lower among persons with stable weight than among those with unstable weight 31
  • 32. Presumption 4# - Best Evidence •Although observational epidemiologic studies show that weight instability or cycling is associated with increased mortality, such findings are probably due to confounding by health status. •Studies of animal models do not support this epidemiologic association. (Vasselli et al. 2005) 32
  • 33. Presumption 5# •Snacking contributes to weight gain and obesity •Basis of conjecture: –Snack foods are presumed to be incompletely compensated for at subsequent meals, leading to weight gain 33
  • 34. Presumption 5# - Best Evidence •Randomized, controlled trials do not support this presumption. (Whybrow et al. 2007) •Even observational studies have not shown a consistent association between snacking and obesity or increased BMI. 34
  • 35. Presumption 6# •The built environment, in terms of sidewalk and park availability, influences the incidence or prevalence of obesity. •Basis of conjecture: –Neighbourhood-environment features may promote or inhibit physical activity, thereby affecting obesity 35
  • 36. Presumption 6# - Best Evidence •According to a systematic review, virtually all studies showing associations between the risk of obesity and components of the built environment (e.g., parks, roads, and architecture) have been observational. (Ferdinand et al. 2012) •Furthermore, these observational studies have not shown consistent associations, so no conclusions can be drawn. 36
  • 37. Facts about Obesity 37 Propositions backed by sufficient evidence to consider them empirically proved for practical purposed
  • 38. Fact 1# •Although genetic factors play a large role, heritability is not destiny; calculations show that moderate environmental changes can promote as much weight loss as the most efficacious pharmaceutical agents available. (Hewitt 1997) •Practical implication for public health, policy or clinical recommendations: –If we can identify key environmental factors and successfully influence them, we can achieve clinically significant reductions in obesity 38
  • 39. Fact 2# •Diets (i.e., reduced energy intake) very effectively reduce weight, but trying to go on a diet or recommending that someone go on a diet generally does not work well in the long-term. (Heymsfield 2011) •Practical implication for public health, policy or clinical recommendations: –This seemingly obvious distinction is often missed, leading to erroneous conceptions regarding possible treatments for obesity. –Recognizing this distinction helps our understanding that energy reduction is the ultimate dietary intervention required and approaches such as eating more vegetables or eating breakfast daily are likely to help only if they are accompanied by an overall reduction in energy intake. 39
  • 40. Fact 3# •Regardless of body weight or weight loss, an increased level of exercise increases health (Carroll & Dudfield 2004) •Practical implication for public health, policy or clinical recommendations: –Exercise offers a way to mitigate the health-damaging effects of obesity, even without weight loss 40
  • 41. Fact 4# •Physical activity or exercise in a sufficient dose aids in long term weight maintenance (Carrol & Dudfield 2004; Wu et al. al. 2009) •Practical implication for public health, policy or clinical recommendations: –Physical activity programs are important, especially for children, but for physical activity to affect weight, there must be a substantial quantity of movement, not mere participation. 41
  • 42. Fact 5# •Continuation of conditions that promote weight loss promotes maintenance of lower weight. (Middleton et al. 2012) •Practical implication for public health, policy or clinical recommendations: –Obesity is best conceptualized as a chronic condition, requiring on-going management to maintain long-term weight loss. 42
  • 43. Fact 6# •For overweight children, programs that involve the parents and the home setting promote greater weight loss or maintenance. (McLean et al. 2003) •Practical implication for public health, policy or clinical recommendations: –Programs provided only in schools or other out-of-home structured settings may be convenient or politically expedient, but programs including interventions that involve parents and are provided at home are likely to yield better outcomes. 43
  • 44. Fact 7# •Provision of meals and use of meal-replacement products promote greater weight loss. (Wing et al. 2001) •Practical implication for public health, policy or clinical recommendations: –More structure regarding meals is associated with greater weight loss, as compared with seemingly holistic programs that are based on concepts of balance, variety and moderation. 44
  • 45. Fact 8# •Some pharmaceutical agents can help patients achieve clinically meaningful weight-loss and maintain the reduction as long as the agents continue to be used. (Wright & Aronne 2011) •Practical implication for public health, policy or clinical recommendations: –While we learn how to alter the environment and individual behaviours to prevent obesity, we can offer moderately effective treatment to obese persons. 45
  • 46. Fact 9# •In appropriate patients, bariatric surgery results in long- term weight loss and reductions in the rate of incident diabetes and mortality. (Sjöström et al. 2004) •Practical implication for public health, policy or clinical recommendations: –For severely obese persons, bariatric surgery can offer a life- changing, and in some cases lifesaving treatment. 46
  • 48. Implications •Myth and presumptions about obesity are common. •Many of the myths and presumptions about obesity reflect a failure to consider the diverse aspects of energy balance. –Especially physiological compensation for changes in intake or expenditure •Evidence that a technique is beneficial for the treatment of obesity is not necessarily evidence that it will helpful in population-based approaches to the prevention of obesity, and vice versa. 48
  • 49. The Concept of Energy Balance 49
  • 50. cont. Implications •Why do we think or claim we know things that we actually do not know? –Cognitive biases lead to an unintentional retention of erroneous beliefs –Extensive media coverage –Swayed by persuasive yet fallacious arguments •As a scientific community, we must always be open and honest with the public about the state of our knowledge and should rigorously evaluate unproved strategies. 50