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Hands-On Obesity Training in The Bariatric Simulation Suite, Edmonton, May 24, 2016

Later this month, the Canadian Obesity Network, in partnership with the University of Alberta’s Health Sciences Education and Research Commons, will once again be offering its one-day, intensive hands-on Obesity Certification Program for health professionals. As on previous occasions, this course offers an immersive educational experience on practical aspects of obesity management and the role of interprofessional bariatric care. The practical course provides a hands-on  learning experience with standardised patients and includes experiential learning  in challenges people living with obesity face in their home and clinical settings. These include exercises in the Bariatric Speciality Care Suite and Smart Condo. Group size is limited, but a few spots remain. More information is available here. @DrSharma Vancouver, BC

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The Edmonton Obesity Staging System for Pediatrics

Regular readers are by now familiar with the Edmonton Obesity Staging System (EOSS), that classifies individuals with obesity based on its impact on physical, mental and functional health. Now, Stasia Hadjiyannakis and colleagues present an adaptation of EOSS for kids, published in Pediatrics and Child Health. The evidence-informed paediatric clinical obesity staging system (EOSS-P), builds on EOSS for adults and captures the severity of disease, as well as factors that complicate management, within four domains of health most commonly encountered in obesity: The EOSS-P assesses four main domains that are impacted by obesity and can impact responsiveness to weight management – metabolic, mechanical, mental, milieu: Metabolic Metabolic complications of paediatric obesity include glucose dysregulation (including type 2 diabetes [T2D]), dyslipidemia, the metabolic syndrome, nonalcoholic fatty liver disease, hypertension and, in adolescent females, polycystic ovary syndrome. Metabolic complications are often asymptomatic and must be screened for to be identified. Screening should begin at two years of age for lipid disorders, three years of age for hypertension and at 10 years of age or at the onset of puberty, if this occurs earlier, for diabetes. Metabolic complications of obesity can improve significantly through changes in health behaviour with minimal change in BMI. Mechanical Biomechanical complications of paediatric obesity include sleep apnea, sleep disordered breathing, gastroesophageal reflux disease, and musculoskeletal pain and dysfunction. The presence of sleep apnea and/or sleep disordered breathing can exacerbate the metabolic complications of obesity, have deleterious neurobehavioural effects, and affect appetite and food intake. Biomechanical complications can be barriers to weight management and affect prognosis. If left inadequately treated, biomechanical complications of obesity can promote further weight gain. Mental health Children and youth with obesity are at risk for social isolation and stigmatization. Childhood psychiatric disorders (eg, depression, anxiety), school difficulties, body dissatisfaction, dysregulated eating behaviours, teasing and bullying have all been linked to paediatric obesity. Children and youth with obesity have consistently reported lower health-related quality of life compared with normative samples. Mental health disorders, as well as some of the pharmacotherapeutic agents that are used to manage them, can complicate weight management, promote weight gain and affect prognosis. Social milieu An assessment of the family, school and neighbourhood milieus (the social milieu) is unique to the paediatric staging system and is important given the key role that parents, family members, schools and communities/neighbourhoods play in the health and wellbeing of children and youth. School difficulties and family… Read More »

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Welcome To The International Congress on Obesity, Vancouver 2016

This weekend sees the start of the XIII International Congress on Obesity (ICO), hosted by the World Obesity Federation in partnership with the Canadian Obesity Network (CON) in Vancouver, Canada. As this year’s Congress President, together with World Obesity Federation President Dr. Walmir Coutinho, it will be our pleasure to welcome delegates from around the world to what I am certain will be a most exciting and memorable event in one of the world’s most beautiful and livable cities. The program committee, under the excellent leadership of Dr. Paul Trayhurn, has assembled a broad and stimulating program featuring the latest in obesity research ranging from basic science to prevention and management. I can also attest to the fact that the committed staff both at the World Obesity Federation and the Canadian Obesity Network have put in countless hours to ensure that delegates have a smooth and stimulating conference. The scientific program is divided into six tracks: Track 1: From genes to cells For example: genetics, metagenomics, epigenetics, regulation of mRNA and non–coding RNA, inflammation, lipids, mitochondria and cellular organelles, stem cells, signal transduction, white, brite and brown adipocytes Track 2: From cells to integrative biology For example: neurobiology, appetite and feeding, energy balance, thermogenesis, inflammation and immunity, adipokines, hormones, circadian rhythms, crosstalk, nutrient sensing, signal transduction, tissue plasticity, fetal programming, metabolism, gut microbiome Track 3: Determinants, assessments and consequences For example: assessment and measurement issues, nutrition, physical activity, modifiable risk behaviours, sleep, DoHAD, gut microbiome, Healthy obese, gender differences, biomarkers, body composition, fat distribution, diabetes, cancer, NAFLD, OSA, cardiovascular disease, osteoarthritis, mental health, stigma Track 4: Clinical management For example: diet, exercise, behaviour therapies, psychology, sleep, VLEDs, pharmacotherapy, multidisciplinary therapy, bariatric surgery, new devices, e-technology, biomarkers, cost effectiveness, health services delivery, equity, personalised medicine Track 5: Populations and population health For example: equity, pre natal and early nutrition, epidemiology, inequalities, marketing, workplace, school, role of industry, social determinants, population assessments, regional and ethnic differences, built environment, food environment, economics Track 6: Actions, interventions and policies For example: health promotion, primary prevention, interventions in different settings, health systems and services, e-technology, marketing, economics (pricing, taxation, distribution, subsidy), environmental issues, government actions, stakeholder and industry issues, ethical issues I look forward to welcoming my friends and colleagues from around the world to what will be a very busy couple of days. For more information on the International Congress on Obesity click here For more information on… Read More »

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How To Interpret Studies On Screen Time And Eating Behaviour

Much of the research on the contribution of screen time, sedentariness, food consumption and other factors comes from cross-sectional or longitudinal studies, where researchers essentially describe correlations and statistical “effect sizes”. To be at all meaningful, analyses in such studies need to be adjusted for known (or at least likely) confounders (or at least the confounders that happen to available). No matter how you turn and wind the data, such studies by definition cannot prove causality or (even less likely) predict the outcome of actual intervention studies. Nevertheless, such studies can be helpful in generating hypotheses. Thus, for example, I read with interest the recent paper by Lei Shang and colleagues from the University of Laval, Quebec, Canada, published in Preventive Medicine Reports. The researchers looked at cross-sectional data on 630 Canadian children aged 8-10 years with at least one obese biological parent. While the overall median daily screen time was about 2.2 hours, longer screen time was associated with higher intake of energy (74 kcal) and lower intake of vegetables & fruit (- 0.3 serving/1000 kcal). This unhealthy “effect” of screen time on diet appeared even stronger among children with overweight. Thus, there is no doubt that the study shows that, “Screen time is associated with less desirable food choices, particularly in overweight children.” The question of course remains whether or not this relationship is actual causal or in other words, does watching more television lead to an unhealthier diet (I am guessing no one assumes that eating an unhealthier diet leads to more TV watching). Unfortunately, this is not a question that can be answered by this type of research. Nor, is this type of research likely to predict whether or not reducing screen time will get the kids to eat better. Indeed, it doesn’t take a lot of imagination to come up with other explanations for these findings that would not require any assumption of a causal link between eating behaviours and television watching. For one, TV watching could simply be a surrogate measure for parenting style – perhaps parents that let their kids watch a lot of TV are also less concerned about the food they eat. And, for all we know, reducing TV time may (e.g. by cutting the kids off from TV – or cutting the parents off from a convenient babysitter) in the end make the kids eating behaviours even worse. Who knows – that’s… Read More »

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Skinny Kids Eat More Candy

A common assumption is that kids with obesity consume more high-caloric foods – which of course includes confectionary items like chocolate and non-chocolate sweets. Now, a study by Constantin Gasser and colleagues from Melbourne, Australia, in a paper published in the American Journal of Clinical Nutrition, present a systematic review and meta-analysis of confectionary consumption and overweight in kids. The researchers identified 19 studies fort their systematic review, 11 of which (∼177,260 participants) were included in the meta-analysis. Overall, odds of excess weight of kids in the highest category of sweets consumption was about 20% less than in the reference category. This inverse association was true for both chocolate and nonchocolate confectioneries. Furthermore, in the longitudinal studies and the randomised controlled trial included in the review, no associations were observed between confectionery consumption and overweight, obesity, or obesity-related outcomes. Thus, based on data from well over 175,000 kids, there appears to be no relationship between sweets consumption and excess weight – if anything, the relationship is the opposite of what one may expect. As so often, when data don’t fit the “accepted” hypothesis, the authors are also quick to point out that these findings could well be explained by reverse causality (overweight kids avoiding sweets) or underreporting by heavier kids (a polite way of saying that heavier kids may be less honest about their candy consumption). On the other hand, it may also well be that regular (non-restrictive) sweet consumption actually does in fact make kids less vulnerable to overeating, simply by ruining their appetite (just as grandma always warned you it would – as in, “No sweets before supper!”). Overall, the findings remind me of a previous study that failed to find any association between sugary pop consumption and body weight in Ontario and PEI kids (if anything skinny kids in PEI drank more pop than those with excess weight). Whatever the true answer may be, these findings certainly do not support the notion that sweet or chocolate consumption is a key factor in childhood obesity. @DrSharma Edmonton, AB

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