O besity is a complex chronic disease in which abnormal or excess body fat (adiposity) impairs health, increases the risk of long-term medical complications and reduces lifespan. 1 Epidemiologic studies define obesity using the body mass index (BMI; weight/height 2), which can stratify obesity-related health risks at the population level. Obesity is operationally defined as a BMI exceeding 30 kg/m 2 and is subclassified into class 1 (30-34.9), class 2 (35-39.9) and class 3 (≥ 40). At the population level, health complications from excess body fat increase as BMI increases. 2 At the individual level, complications occur because of excess adiposity, location and distribution of adiposity and many other factors, including environmental, genetic, biologic and socioeconomic factors (Box 1). 11 Over the past 3 decades, the prevalence of obesity has steadily increased throughout the world, 12 and in Canada, it has increased threefold since 1985. 13 Importantly, severe obesity has increased more than fourfold and, in 2016, affected an estimated 1.9 million Canadian adults. 13 Obesity has become a major public health issue that increases health care costs 14,15 and negatively affects physical and psychological health. 16 People with obesity experience pervasive weight bias and stigma, which contributes (independent of weight or BMI) to increased morbidity and mortality. 17 Obesity is caused by the complex interplay of multiple genetic, metabolic, behavioural and environmental factors, with the latter thought to be the proximate cause of the substantial

Background: Rising levels of obesity coupled with the limited success of currently available weight control methods highlight the need for investigation of novel approaches to obesity treatment. This study aims to determine the effectiveness and cost-effectiveness of an Internet-based resource for obesity management.

Despite the explosion of obesogenic environment research within the last decade, consensus on what constitutes the very environment we are trying to measure has not yet been reached. This presents a major challenge towards our understanding of environmental research for obesity, and the development of a desperately needed contextualized evidence base to support action and policies for curbing this epidemic. Specifically, we lack the application of a cohesive definition or framework, which creates the potential for confusion regarding the role of the environment, misinterpretation of research findings and missed opportunities with respect to possible avenues for environmentally based interventions. This scoping review identified primary studies and relevant reviews examining factors related to body mass index, diet and/or physical activity with respect to the obesogenic environment. Using a comprehensive framework for conceptualizing the obesogenic environment, the Analysis Grid for Environments Linked to Obesity (ANGELO), we identified 146 primary studies, published between January 1985 and January 2008, that could be characterized according to the dimensions of ANGELO. Gaps in the literature were clearly identified at the level of the macro-environment, and the political and economic micro-environments, highlighting key areas where further research is warranted if we are to more fully understand the role of the obesogenic environment.

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Public health is currently focused on childhood obesity, and the associated behaviors of physical activity and nutrition. Canadian youth are insufficiently active and do not meet nutritional guidelines. This is of particular concern for adolescent girls, as they are less active than boys, become less active as they age, and engage in unhealthy weight control behaviors. The purpose of this review is to determine what is known from the existing literature about how gender norms are understood in relation to the health-related behaviors of PA and nutrition in young girls. This scoping review follows the framework of Arksey and O’Malley, involving defining a research question, study identification and selection, charting, interpretation, summarizing, and reporting. In total, 28 documents are reviewed, and characteristics are summarized quantitatively and qualitatively. Five major themes are identified: (1) Girls’ relationships with PA are complex and require negotiating gender roles, (2) the literature focuses on dieting rather than nutrition, (3) appearance and perceptions influence behaviors, (4) “body” focused discourse is significant to girls’ experiences, and (5) social influences, institutions, and environments are influential and may offer opportunity for future research and action. Gaps in the literature are identified and discussed. It is concluded that young girls’ activity and nutrition is affected by gender norms and feminine ideals through complex negotiations, perceptions, body-centered discourse, and societal influences.

In recent years there has been a proliferation of nutrition screening tools but undernutrition remains prevalent amongst older subjects. Screening tools commonly include BMI as the widely-accepted 'gold standard' indicator of malnutrition. Whilst BMI may be an appropriate tool for population studies when it can be measured accurately in research conditions, the use of BMI in clinical practice may mask important weight changes and result in a failure to alert healthcare staff to a nutritional problem. The inclusion of BMI has been identified as a barrier to completing the screening process at ward level. Also, feedback from dietitians working with older subjects indicates that 72.5% of those using BMI express concerns that it is of limited use for practical reasons or that the reference range (20-25 kg/m2) is not appropriate to older subjects. Further evidence questions whether or not BMI is applicable for inclusion in methods used to identify an older subject at risk of undernutrition in a variety of care settings. In view of these findings it is advocated that weight change over a period of time together with clinical judgement is a far superior prognostic indicator of undernutrition. Despite screening, there is evidence that inpatients continue to lose weight before discharge. Further experiential evidence from both community and ward settings suggests that inadequacies in care planning, food provision and a lack of assistance with feeding are common. In order to improve the management of undernutrition in older subjects it is therefore recommended that the focus of attention should be on addressing these practical issues and on the effective monitoring of these processes.

In this research, we explored the psychological, emotional, and social experiences of individuals living with obesity, and perceptions of health care providers. We conducted a theoretical thematic analysis using two theoretical frameworks applied to transcripts from a previous qualitative study. Themes from a mental well-being framework were subsequently categorized under five environmental levels of the Social-Ecological Model (SEM). Key mental well-being themes appeared across all levels of the SEM, except the policy level. For the individual environment, one main theme was food as a coping mechanism and source of emotional distress. In the interpersonal environment, two themes were (a) blame and shame by family members and friends because of their weight and (b) condemnation and lack of support from health professionals. In the organizational environment, one main theme was inadequate support for mental well-being issues in obesity management programmes. In the community environment, one major theme the negative mental well-being impact of the social stigma of obesity. An overarching theme of weight stigma and bias further shaped the predominant themes in each level of the SEM. Addressing weight stigma and bias, and promoting positive mental well-being are two important areas of focus for supportive management of individuals living with obesity.