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

Childhood obesity is a growing concern, and while progress has been made to understand the association between multiple biological factors (i.e., genetics, nutrition, exercise etc.), little is known about the relationship between mental health and childhood obesity. In this paper, we offer a review of current evidence about the association between mental health and childhood obesity. A systematic literature search of peer-reviewed, English-language studies published between January 2000 and January 2011 was undertaken and resulted in 759 unique records, of which 345 full-text articles were retrieved and 131 articles were included. A theoretical model is proposed to organize the paper and reflect the current state of the literature and includes psychological factors (i.e., depression and anxiety, self-esteem, body dissatisfaction, eating disordered symptoms, and emotional problems); psychosocial mediating variables (i.e., weight-based teasing and concern about weight and shape), and wellness factors (i.e., quality of life and resiliency/protective factors). We conclude with a number of recommendations to support the creation of solutions to the rise in childhood obesity rates that do not further marginalize overweight and obese children and youth and that can potentially improve the well-being of all children and youth regardless of their weight status.

Innovative and coordinated strategies to address weight bias among health professionals are urgently needed. We conducted a systematic literature review of empirical peer-reviewed published studies to assess the impact of interventions designed to reduce weight bias in students or professionals in a health-related field. Combination sets of keywords based on three themes (1: weight bias/stigma; 2: obesity/overweight; 3: health professional) were searched within nine databases. Our search yielded 1447 individual records, of which 17 intervention studies satisfied the inclusion criteria. Most studies (n = 15) included medical, dietetic, health promotion, psychology and kinesiology students, while the minority included practicing health professionals (n = 2). Studies utilized various bias-reduction strategies. Many studies had methodological weaknesses, including short assessment periods, lack of randomization, lack of control group and small sample sizes. Although many studies reported changes in health professionals' beliefs and knowledge about obesity aetiology, evidence of effectiveness is poor, and long-term effects of intervention strategies on weight bias reduction remain unknown. The findings highlight the lack of experimental research to reduce weight bias among health professionals. Although changes in practice will likely require multiple strategies in various sectors, well-designed trials are needed to test the impact of interventions to decrease weight bias in healthcare settings.

Healthcare and social services professionals are being called to engage in interprofessional education (IPE) and interprofessional collaboration (IPC) in order to provide efficient and effective care to clients and patients. As such, it is important to conduct research that contributes to evaluation of collaborative practice. A necessary component to any strong quantitative research methodology is the type of instruments used for data collection. However, identifying valid and reliable instruments to use in this area of research can be a daunting task. The purpose of this paper is to review the quantitative measures (i.e., surveys and questionnaires) described in the interprofessional literature. Twenty-three instruments were identified and analyzed for validity and reliability statistics, sample size, ease of access to items on measure, and applicability of measure to diverse professional populations. The two primary measures reviewed are the Readiness for Interprofessional Learning Scale (Parsell & Bligh, 1998 ) and the Interdisciplinary Education Perception Scale (Luecht, Madsen, Taugher, & Petterson, 1990 ). Limited information existed for the remaining measures. Despite the number of measures available for assessing and evaluating IPE and IPC, most lack sufficient theoretical and psychometric development. Several issues that impact the development of sound measures are discussed and implications for future IPC are proposed.

Aim: The purpose of this scoping review was to explore the evidence on how perceptions and/or experiences of weight bias in primary health care influence engagement with and utilization of health care services by individuals with obesity. Background: Prior studies have found discrepancies in the use of health care services by individuals living with obesity; a greater body mass index has been associated with decreased health care utilization, and weight bias has been identified as a major barrier to engagement with health services. Methods: PubMed was searched from January 2000 to July 2017. Four reviewers independently selected 21 studies examining perceptions of weight bias and its impact on engagement with primary health care services. Findings: A thematic analysis was conducted on the 21 studies that were included in this scoping review. The following 10 themes were identified: contemptuous, patronizing, and disrespectful treatment, lack of training, ambivalence, attribution of all health issues to excess weight, assumptions about weight gain, barriers to health care utilization, expectation of differential health care treatment, low trust and poor communication, avoidance or delay of health services, and ‘doctor shopping’. Overall, our scoping review reveals how perceptions and/or experiences of weight bias from primary care health professionals negatively influence patient engagement with primary health care services.