Ten Misconceptions from the History of Analysis and Their Debunking

The widespread idea that infinitesimals were "eliminated" by the "great triumvirate" of Cantor, Dedekind, and Weierstrass is refuted by an uninterrupted chain of work on infinitesimal-enriched number systems. The elimination claim is an oversimplification created by triumvirate followers, who tend to view the history of analysis as a pre-ordained march toward the radiant future of Weierstrassian epsilontics. In the present text, we document distortions of the history of analysis stemming from the triumvirate ideology of ontological minimalism, which identified the continuum with a single number system. Such anachronistic distortions characterize the received interpretation of Stevin, Leibniz, d'Alembert, Cauchy, and others.Comment: 46 pages, 4 figures; Foundations of Science (2012). arXiv admin note: text overlap with arXiv:1108.2885 and arXiv:1110.545

The role of effortful control and the dual pathway model in childhood obesity

Apart from other well-known psychological determinants of obesity, deficits in neuropsychological processes related to effortful control can be relevant predictors for weight problems and difficulties in weight loss. Deficits in top-down inhibition as well as in other processes such as strong bottom-up reactivity, like external eating, hinder resisting food temptations in an obesogenic environment, thus determining the risk for the development of overweight and obesity. Furthermore, these deficits are associated with less positive outcomes in weight loss interventions for subgroups of children and adolescents with severe obesity. Targeting those effortful control mechanisms underlying childhood obesity via cognitive behavioral techniques can facilitate behavioural change necessary to induce sustainable weight loss and weight control. In this presentation, I will present data on effortful control collected in a large sample of youngsters (n=572 participants, 51% boys, aged 7-19) with moderate to severe obesity. Results suggest that top-down inhibition and bottom-up external eating play a complex role in weight problems in certain subgroups of youngsters with obesity, stressing the importance of identifying subgroups for tailoring interventions. I will demonstrate a few science-based intervention techniques that have the potential to ameliorate effortful control capacities, and thus optimize treatment outcomes for those youngsters low in effortful control

Brain fitness: Een blended-care zelfcontroleprogramma voor de behandeling van overgewicht bij kinderen en adolescenten

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Brain fitness: Een blended-care zelfcontroleprogramma voor de behandeling van overgewicht bij kinderen en adolescenten

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Computer training of attention and inhibition for youngsters with obesity : A pilot study

Obesity is a widespread problem that starts from an early age. Previous studies suggest that obese youngsters have an attentional bias and an automatic approach tendency towards high-calorie food and display difficulties inhibiting impulses, which may result in a higher intake of (high-calorie) food. An interesting idea for improvement of the current obesity treatment is adding a program that enables to train their difficulties. Subjects were 36 youngsters aged 9-15 years old from an inpatient treatment program for obesity, randomized over a training group and an active control group. The training consisted of six training sessions with cognitive tasks aimed at enhancing inhibition towards unhealthy food items (with a go/no-go task), as well as decreasing a food approach bias (using an approach/avoidance task) and a food attentional bias (using a dot-probe task). The current study evaluated the feasibility, acceptability and initial effectiveness of the training and explores if these characteristics helps obese youngsters to maintain weight-loss once they return home at the end of their inpatient treatment program. Results on the cognitive performances were investigated during two measurement sessions, spread over 5 weeks while weight evolution was followed over 13 weeks. Results showed that the training program was feasible and acceptable to the majority of participants and clinicians. Furthermore, the preliminary findings suggest that the training tasks used were ineffective in this group of obese children. Lessons learned and suggestions for future research are discussed

Subtyping youngsters with obesity : a theory-based cluster analysis

Psychological mechanisms play a crucial role in explaining weight gain. Aim of the present study was to identify subtypes in youngsters with obesity in line with these mechanisms. Defining homogeneous clusters within this heterogeneous group provides relevant information for personalized treatments. Data were collected in N = 572 participants (51% boys, aged 7-19) with extreme obesity (%BMI M = 187.8; SD = 30.9) recruited in an inpatient treatment centre. Based on psychological models of overweight/obesity, the Affect Regulation Model, the Reward Deficiency Model and The Dual Pathway Model, cluster variables were selected assessing emotional eating, reward reactivity and regulative capacities. Youngsters reported on emotional eating (DEBQ Emotional Eating) and reward sensitivity (BAS), while parents reported on children's regulative Executive Functions (BRIEF). Characteristics of the different clusters were examined concerning weight variables (pre and post treatment) and variables indexing problematic eating (DEBQ External Eating, ChEDE), affect regulation (FEEL-KJ) and depressive symptoms (CDI). Hierarchical cluster analyses supported the presence of three clusters, further evaluated by K-means cluster analyses. The cluster solutions differed according to age and sex (boys 7-13, boys 14-19, girls 7-13, girls 14-19). In all four age and gender subsamples, an "Emotional Eating" cluster displaying a vulnerable profile (high depression, maladaptive emotion regulation, problematic eating) and a "Reward Deficiency" cluster displaying a more resilient profile were detected. In girls 7-13, a "Weak Executive Functioning" indicative of insufficient self-regulative capacities, showed moderate to high emotional problems and problematic eating. In the other subgroups, the "Mean Level Functioning" cluster also showed elevated emotional problems and problematic eating. Given that different clusters can be identified, and given that these clusters have different profiles on emotional problems and problematic eating, subtyping youngsters with severe obesity is indicated, setting the stage for personalized treatments

The predictive value of adipokines and metabolic risk factors for dropouts and treatment outcomes in children with obesity treated in a pediatric rehabilitation center

Background: Inpatient pediatric obesity treatments are highly effective, although dropouts and weight regain threaten long-term results. Preliminary data indicate that leptin, adiponectin, and cardiometabolic comorbidities might predict treatment outcomes. Previous studies have mainly focused on the individual role of adipokines and comorbidities, which is counterintuitive, as these risk factors tend to cluster. This study aimed to predict the dropouts and treatment outcomes by pre-treatment patient characteristics extended with cardiometabolic comorbidities (individually and in total), leptin, and adiponectin. Methods: Children aged 8–18 years were assessed before, immediately after and 6 months after a 12-month inpatient obesity treatment. Anthropometric data were collected at each visit. Pre-treatment lipid profiles; glucose, insulin, leptin, and adiponectin levels; and blood pressure were measured. The treatment outcome was evaluated by the change in body mass index (BMI) standard deviation score (SDS) corrected for age and sex. Results: We recruited 144 children with a mean age of 14.3 ± 2.2 years and a mean BMI of 36.7 ± 6.2 kg/m2 corresponding to 2.7 ± 0.4 BMI SDS. The 57 patients who dropped out during treatment and the 44 patients who dropped out during aftercare had a higher pre-treatment BMI compared to the patients who completed the treatment (mean BMI, 38.3 ± 6.8 kg/m2 vs 35.7 ± 5.5 kg/m2) and those who completed aftercare (mean BMI, 34.6 ± 5.3 kg/m2 vs 37.7 ± 6.3 kg/m2) (all p<0.05). Additionally, aftercare attenders were younger than non-attenders (mean age, 13.4 ± 2.3 years vs 14.9 ± 2.0, p<0.05). Patients lost on average 1.0 ± 0.4 SDS during treatment and regained 0.4 ± 0.3 SDS post-treatment corresponding to regain of 43 ± 27% (calculated as the increase in BMI SDS post-treatment over the BMI SDS lost during treatment). A higher BMI and more comorbidities inversely predicted BMI SDS reduction in linear regression (all p<0.05). The absolute BMI SDS increase after returning home was predicted by pre-treatment leptin and systolic blood pressure, whereas the post-treatment BMI SDS regain was predicted by pre-treatment age, leptin, and adiponectin levels (all p<0.05) in multivariate linear regressions. Conclusion: Patients who need treatment the most are at increased risk for dropouts and weight regain, emphasizing the urgent need for interventions to reduce dropout and support inpatients after discharge. Furthermore, this study is the first to report that pre-treatment leptin and adiponectin levels predict post-treatment BMI SDS regain, requiring further research