Links between obesity, weight stigma and learning in adolescence: a qualitative study

Background Educational attainment is a key social determinant of health. Health and education are linked by multiple pathways, many of which are not well understood. One such pathway is the association between being above a healthy weight and lower academic achievement. While various explanations have been put forward to explain this relationship, evidence for causal pathways is sparse and unclear. This study addresses that evidence gap. Methods We interviewed 19 adults (late 20s; 14 female, 5 male) and one young person (14 years, male) from the UK in 2019/2020. Participants were recruited from the ALSPAC 1990s birth cohort, sampled to ensure diversity in socio-economic status and educational attainment, and a community-based weight management group for young people. Interviews focused on experiences of being above a healthy weight during secondary school and how this may have affected their learning and achievement. Interviews were face-to-face, digitally recorded, and transcribed verbatim. We analysed the data thematically. Results We identified key pathways through which higher body weight may negatively impact educational performance and showed how these are linked within a novel theoretical model. Because larger body size is highly stigmatised, participants engaged in different strategies to minimise their exposure to negative attention. Participants sought to increase their social acceptance or become less socially visible (or a combination of both). A minority navigated this successfully; they often had many friends (or the ‘right’ friends), experienced little or no bullying at school and weight appeared to have little effect on their achievement at school. For most however, the behaviours resulting from these strategies (e.g. disruptive behaviour, truanting, not working hard) or the physical, social or mental impacts of their school experiences (e.g. hungry, tired, self-conscious, depressed) made it difficult to concentrate and/or participate in class, which in turn affected how teachers viewed them. Conclusions Action to combat weight stigma, both within schools and in wider society, is urgently required to help address these educational disparities that in turn can impact health in later life.

Care of the patient after valve intervention

This review aims to outline the current evidence base and guidance for care of patients post-valve intervention. Careful follow-up, optimisation of medical therapy, antithrombotics, reduction of cardiovascular risk factors and patient education can help improve patient outcomes and quality of life. Those with mechanical valves should receive lifelong anticoagulation with a vitamin K antagonist but in certain circumstances may benefit from additional antiplatelet therapy. Patients with surgical bioprosthetic valves, valve repairs and transcatheter aortic valve implantation also benefit from antithrombotic therapy. Additionally, guideline-directed medical therapy for coexistent heart failure should be optimised. Cardiovascular risk factors such as hyperlipidaemia, hypertension and diabetes should be treated in the same way as those without valve intervention. Patients should also be encouraged to exercise regularly, eat healthily and maintain a healthy weight. Currently, there is not enough evidence to support routine cardiac rehabilitation in individuals post-valve surgery or intervention but this may be considered on a case-by-case basis. Women of childbearing age should be counselled regarding future pregnancy and the optimal management of their valve disease in this context. Patients should be educated regarding meticulous oral health, be encouraged to see their dentist regularly and antibiotics should be considered for high-risk dental procedures. Evidence shows that patients post-valve intervention or surgery are best treated in a dedicated valve clinic where they can undergo clinical review and surveillance echocardiography, be provided with heart valve education and have access to the multidisciplinary valve team if needed.

Cognitive Behavioural Therapy for an Adolescent with Anorexia Nervosa

Introduction: The treatment of anorexia nervosa remains a matter of much debate. Though cognitive behavioural therapy would seem to offer good results, there is still no resounding evidence pointing to a single treatment of choice. The case presented in this paper examines the treatment with CBT of a patient presenting anorexia nervosa. Evaluation/diagnosis: An adolescent girl, 17 years of age, voluntarily attends psychological therapy to address eating behaviour problems. After administering the EAT-26, EDI-2, and BSQ standardised screening tests, as well as a clinical interview for assessment, a psychopathological profile is obtained, providing a diagnosis of anorexia nervosa, restricting subtype. Therapeutic goals: The therapeutic goals set were to reach a healthy weight for the patient’s age and height (specified as a minimum BMI of 18.5) and change the structure of thoughts, feelings, and behaviour that was justifying and maintaining the disorder. Treatment: Treatment lasted for 33 sessions and used cognitive behavioural techniques, such as cognitive restructuring, response cost, and positive reinforcement, in addition to family intervention techniques. Nutrition therapy was also carried out in parallel to the treatment sessions. Results: Following eight months of weekly sessions, the patient reached the target weight and changed attitudes towards food and body image, replacing them with healthy thoughts and behaviours. Follow-up made one and two years after the end of the treatment saw that these results were maintained. Discussion and conclusions: In this case, CBT proved effective in achieving the patient’s physical and psychological recovery. Therefore, this case contributes to the evidence of the efficacy of this therapeutic approach in certain cases of ED.

Disrupted stepwise functional brain organization in overweight individuals

Functional hierarchy establishes core axes of the brain, and overweight individuals show alterations in the networks anchored on these axes, particularly in those involved in sensory and cognitive control systems. However, quantitative assessments of hierarchical brain organization in overweight individuals are lacking. Capitalizing stepwise functional connectivity analysis, we assess altered functional connectivity in overweight individuals relative to healthy weight controls along the brain hierarchy. Seeding from the brain regions associated with obesity phenotypes, we conduct stepwise connectivity analysis at different step distances and compare functional degrees between the groups. We find strong functional connectivity in the somatomotor and prefrontal cortices in both groups, and both converge to transmodal systems, including frontoparietal and default-mode networks, as the number of steps increased. Conversely, compared with the healthy weight group, overweight individuals show a marked decrease in functional degree in somatosensory and attention networks across the steps, whereas visual and limbic networks show an increasing trend. Associating functional degree with eating behaviors, we observe negative associations between functional degrees in sensory networks and hunger and disinhibition-related behaviors. Our findings suggest that overweight individuals show disrupted functional network organization along the hierarchical axis of the brain and these results provide insights for behavioral associations.

EXPRESS: Does physical weight alter the mental representation of the body? Evidence from motor imagery in obesity

Objective. Obesity is a clinical condition that impacts severely the physical body. However, evidence related to the mental representation of the body in action is scarce. The few available studies only focus on avoiding obstacles, rather than participants imagining their own body. Method. To advance knowledge in this field, we assessed the performance of twenty-two individuals with obesity compared to thirty individuals with a healthy weight in two tasks that implied different motor (more implicit vs. more explicit) imagery strategies. Two tasks were also administered to control for visual imagery skills, to rule out confounding factors. Moreover, we measured body uneasiness, through a standard questionnaire, as body image negativity could impact on other body representation components. Results. Our findings do not show differences in the motor imagery tasks between individuals with obesity and individuals with healthy weight. On the other hand, some differences emerge in visual imagery skills. Crucially, individuals with obesity did report a higher level of body uneasiness. Conclusions. Despite a negative body image and visual imagery differences, obesity per se does not impact on the representation of the body in action. Importantly, this result is independent from the level of awareness required to access the mental representation of the body.

Maternal BMI, breastfeeding and perinatal factors that influence early childhood growth trajectories: a scoping review

Obesity rates among children are rapidly rising internationally and have been linked to noncommunicable diseases in adulthood. Individual preventive strategies have not effectively reduced global obesity rates, leading to a gap in clinical services regarding the development of early perinatal interventions. The objective of this scoping review is to explore the relationship between maternal BMI and breastfeeding behaviors on child growth trajectories to determine their relevance in developing interventions aimed at preventing childhood obesity. The scoping review was guided and informed by the Arksey and O’Malley (2005) framework. A systematic search was performed in four databases. Studies included in the final review were collated and sorted into relevant themes. A systematic search yielded a total of 5831 records (MEDLINE: 1242, EMBASE: 2629, CINAHL: 820, PubMed: 1140). Results without duplicates (n = 4190) were screened based on relevancy of which 197 relevant-full-text articles were retrieved and assessed for eligibility resulting in 14 studies meeting the inclusion criteria. Data were extracted and charted for the studies and six themes were identified: (1) healthy behaviors, lifestyle, and social economic status; (2) parental anthropometrics and perinatal weight status; (3) genetics, epigenetics, and fetal programming; (4) early infant feeding; (5) infant growth trajectories; and (6) targeted prevention and interventions. Early life risk factors for child obesity are multifactorial and potentially modifiable. Several at-risk groups were identified who would benefit from early preventative interventions targeting the importance of healthy weight gain, exclusive breastfeeding to 6 months, and healthy lifestyle behaviors.

School Health Infrastructure and Students’ Elevated Body Mass Index

School-age children with overweight or obesity continue to be problematic in the United States, and are associated with many health, social, and financial problems. Schools provide an excellent venue in which to promote healthy weight in students, and school nurses are well-positioned to play an essential role in controlling obesity. The number of studies reporting relationships among school health infrastructure and prevalence of elevated Body Mass Index (BMI) is limited. The present study explored associations between three components of school health infrastructure (staff, services, budget) and the proportion overweight or obese 1st, 3rd, and 6th grade students, after controlling for selected factors (race, county education level, county poverty level, rurality). Study results supported an independent association between elevated BMI and school health staff. Additionally, independent associations between elevated BMI and the following covariates were supported: household income, race, and parents’ educational level. There is an ultimate need for well-designed studies addressing these associations.

The Associations Between the Anorexic Readiness Syndrome, Familism, and Body Image Among Physically Active Girls

Introduction:Anorexic Readiness Syndrome (ARS) is a construct of prophylactic importance, useful in the selection of people showing a tendency to use restrictive diets and increased concentration on the body. The aim of the research was to verify the significance of the type of physical activity, body perception and familism for the development of ARS.Material and Method: The research was carried out in the first half of 2021on a sample of 163 girls. It consisted of: (1) physically inactive girls (n = 48), (2) physically active girls in disciplines other than aesthetic (n = 69), (3) girls engaged in aesthetic physical activity (n = 46). The study used: Anorexic Readiness Syndrome Questionnaire (ARS-12), Familism Scale (FS) and Body Image Avoidance Questionnaire (BIAQ).Results: The highest average ARS score was recorded in the group of girls engaged in aesthetic activity. A significant difference in the severity of ARS occurs between people who do not engage in activity and those who practice aesthetic activity. The severity of ARS rises as the difference between real and ideal body weight increases. People active in aesthetic disciplines who obtained a high score on the Respect scale (FS subscale) have a lower ARS score than those physically active in other disciplines who obtained low scores on the Respect scale. The higher the score on the Material success and achievement scale (FS), the greater the ARS intensity in all subgroups. What is much more important in shaping ARS is the perception of your body. The focus on eating and body weight and Clothing and appearance (BIAQ subscales) are relevant to the ARS and moderate the relationship between Material success (FS subscale) and anorexic readiness.Conclusions: People engaging in aesthetic physical activity are more likely to suffer from ARS. The family can certainly prevent a child from developing anorexic readiness by shaping a sense of community and family identity, a clear division of roles, limiting the importance of materialism and competition in raising children. The prevention of ARS and eating disorders should also focus on strengthening the realistic assessment of body parameters and their acceptance, as well as promoting strategies for healthy weight control.

Machine Learning Implementation of a Diabetic Patient Monitoring System Using Interactive E-App

Lifestyle influences morbidity and mortality rates in the world. Physical activity, a healthy weight, and a healthy diet are key preventative health behaviours that help reduce the risk of developing type 2 diabetes and its complications, such as cardiovascular disease. A healthy lifestyle has been shown to prevent or delay chronic diseases and their complications, but few people follow all recommended self-management behaviours. This work seeks to improve knowledge of factors affecting type 2 diabetes self-management and prevention through lifestyle changes. This paper describes the design, development, and testing of a diabetes self-management mobile app. The app tracked dietary consumption and health data. Bluetooth movement data from a pair of wearable insole devices are used to track carbohydrate intake, blood glucose, medication adherence, and physical activity. Two machine learning models were constructed to recognise sitting and standing. The SVM and decision tree models were 86% accurate for these tasks. The decision tree model is used in a real-time activity classification app. It is exciting to see more and more mobile health self-management apps being used to treat chronic diseases.