Changing Characteristics of Obese Children and Adolescents Entering Pediatric Lifestyle Intervention Programs in Germany over the Last 11 Years: An Adiposity Patients Registry Multicenter Analysis of 65,453 Children and Adolescents

Clinical characteristics and outcomes of children, adolescents and young adults with overweight or obesity and mental health disorders

BACKGROUND

Mental disorders are important comorbidities in youth with obesity. Aim was to describe the clinical characteristics and outcome of youth with overweight or obesity having comorbid mental disorders.

METHODS

Data from children, adolescents, and young adults (age 6-30 years) with overweight or obesity and mental disorders (depression, anxiety disorder, eating disorder, attention deficit disorder (ADHD)) from 226 centers in Germany and Austria participating in the Adiposity Patient Registry (APV) were analyzed and compared with those without reported mental disorders using regression modeling.

RESULTS

Mental health comorbidity was reported in a total of 3969 out of 114,248 individuals with overweight or obesity: 42.5% had ADHD, 31.3% anxiety disorders, 24.3% depression, and 12.9% eating disorders. Being male (OR 1.39 (95%CI 1.27;1.52)), of older age (1.42 (1.25;1.62)), or with extreme obesity (1.45 (1.30;1.63)) were most strongly associated with mental health comorbidity. Regression analysis showed that mean BMI-SDS was significantly higher in the group of individuals with depression and eating disorders (BMI-SDS 2.13 (lower; upper mean:2.09;2.16) and 2.22 (2.17;2.26)) compared to those without reported mental health comorbidity (BMI-SDS 2.008 (2.005;2.011); p < 0.001). In youth with ADHD, BMI-SDS was lower compared to those without reported mental disorders (BMI-SDS 1.91 (1.89;1.93) vs 2.008 (2.005;2.011); p < 0.001). Proportion of severe obesity was higher in individuals with depression (23.7%), anxiety disorders (17.8%), and eating disorders (33.3%), but lower in ADHD (10.3%), compared to those without reported mental disorders (13.5%, p < 0.002). Proportions of dyslipidaemia and abnormal carbohydrate metabolism were not different in youth with and without reported mental health comorbidity. BMI-SDS change after one year of lifestyle intervention program ranged between -0.22 and -0.16 and was similar in youth without and with different mental disorders.

CONCLUSION

Health care professionals caring for youth with overweight or obesity should be aware of comorbid mental disorders and regular mental health screening should be considered.

Child and adolescent obesity

The prevalence of child and adolescent obesity has plateaued at high levels in most high-income countries and is increasing in many low-income and middle-income countries. Obesity arises when a mix of genetic and epigenetic factors, behavioural risk patterns and broader environmental and sociocultural influences affect the two body weight regulation systems: energy homeostasis, including leptin and gastrointestinal tract signals, operating predominantly at an unconscious level, and cognitive-emotional control that is regulated by higher brain centres, operating at a conscious level. Health-related quality of life is reduced in those with obesity. Comorbidities of obesity, including type 2 diabetes mellitus, fatty liver disease and depression, are more likely in adolescents and in those with severe obesity. Treatment incorporates a respectful, stigma-free and family-based approach involving multiple components, and addresses dietary, physical activity, sedentary and sleep behaviours. In adolescents in particular, adjunctive therapies can be valuable, such as more intensive dietary therapies, pharmacotherapy and bariatric surgery. Prevention of obesity requires a whole-system approach and joined-up policy initiatives across government departments. Development and implementation of interventions to prevent paediatric obesity in children should focus on interventions that are feasible, effective and likely to reduce gaps in health inequalities.

The Global Spread of Severe Obesity in Toddlers, Children, and Adolescents: A Systematic Review and Meta-Analysis

INTRODUCTION

Severe obesity among children and adolescents has emerged as a public health concern in multiple places around the world.

METHODS

We searched the Medline database for articles on severe obesity rates in children published between January 1960 and January 2020. For studies with available prevalence rates for an early and a more recent time period, the relative increase in prevalence was imputed.

RESULTS

In total, 874 publications were identified, of which 38 contained relevant epidemiological data. Rates of severe obesity varied significantly according to age, gender, geographic area, and the definition of severe obesity. The highest rates of class II and III obesity in the USA according to the Centers of Disease Control cut-off were 9.5% and 4.5%, respectively. Seventeen studies reported prevalence rates in at least two time periods. Data for 9,190,718 individuals showed a 1.71 (95% CI, 1.53-1.90) greater odds for severe obesity in 2006-2017 (N = 5,029,584) versus 1967-2007 (N = 4,161,134). In an analysis limited to studies from 1980s with a minimum follow-up of 20 years, a 9.16 (95% CI, 7.76-10.80) greater odds for severe obesity in recent versus earlier time was found. An analysis limited to studies from 2000, with a follow-up of 5-15 years, a 1.09 (95% CI, 0.99-1.20) greater odds was noted when comparing (2011-2017; N = 4,991,831) versus (2000-2011; N = 4,134,340).

CONCLUSION

Severe pediatric obesity is escalating with a marked increase from the 1980s and a slower rate from 2000.

Impact of Lifestyle Intervention Programs for Children and Adolescents with Overweight or Obesity on Body Weight and Selected Cardiometabolic Factors-A Systematic Review

Excessive body mass is a health problem among children and adolescents that contributes to the occurrence of lipid disorders and abnormal blood pressure. Effective treatment of excessive body mass in children is essential for the health of population in the future. The aim of the study was to identify universal components of lifestyle interventions in children and adolescents with overweight or obesity leading to weight loss and improvement of selected cardiometabolic parameters. The review included studies from the PubMed and Google Scholar databases published in 2010–2019, which were analyzed for eligibility criteria including age of the participants, BMI defined as overweight or obese, nutritional intervention and the assessment of BMI and/or BMI z-score and at least one lipid profile parameter. Eighteen studies were included in the review, presenting the results of 23 intervention programs in which a total of 1587 children and adolescents participated. All interventions, except one, were multi-component. Data analysis suggests a relationship between a decrease in BMI and/or BMI z-score with diet and physical activity, the involvement of a dietician/nutrition specialist and physician in the treatment team and a longer duration of intervention. Moreover, it seems that a decrease in BMI is mostly associated with decreases in total cholesterol, triglycerides, low density lipoprotein cholesterol and blood pressure. No change in BMI and/or BMI z-score is associated with no change in blood pressure. Our data can be used by public health authorities to design effective weight loss programs for children and adolescents.

Cardiometabolic risk factors differ among adolescents with obesity in three European countries - a cross-sectional study

Aim

We aimed to compare modifiable cardiometabolic risk factors among treatment‐seeking adolescents with obesity in Italy, Germany and Norway.

Methods

This retrospective, registry‐based, cross‐sectional cohort study included 2,327 (59% girls) 12–18 year‐old adolescents with obesity from three tertiary care outpatient clinics in Europe, between 1999 and 2015. The prevalence of cardiometabolic risk factors was compared between clinics, and multivariate logistic regression models including gender, age, waist circumference and body mass index were used to assess the associations between population and cardiometabolic risk.

Results

In total, 1,396 adolescents (60% girls) from Italy, 654 (58% girls) from Germany and 277 (51% girls) from Norway were included. The mean ± SD age was 15.2 ± 1.6 years, body mass index 38.8 ± 6.5 kg/m² and body mass index standard deviation score 3.21 ± 0.43. The prevalence of elevated nonhigh‐density lipoprotein‐cholesterol in Norway, Germany and Italy was 60%, 54% and 45%, while the prevalence of high systolic or diastolic blood pressure (≥130 or ≥85 mmHg) were 15%, 46% and 66%, respectively.

Conclusion

Cardiometabolic risk factors among treatment‐seeking adolescents with obesity from Italy, Germany and Norway differed across the populations in this study, which might imply that preventive clinical work should reflect such differences.