Alterations in Dietary Behavior, Appetite Regulation, and Health-Related Quality of Life in Youth with Obesity in Germany during the COVID-19 Pandemic.

BACKGROUND: This study aimed to evaluate the impact of the COVID-19 pandemic on the nutritional patterns, eating behavior, dietary content, and health-related quality of life (HrQoL) of adolescents with preexisting obesity. METHODS: Anthropometric and metabolic parameters were measured, and validated questionnaires on eating habits, nutritional content, and HrQoL were administered to 264 adolescents with obesity during the COVID-19 pandemic (June 2020-June 2022) and 265 adolescents with obesity before the pandemic (from June 2017 to June 2019). RESULTS: Both study cohorts were comparable in age and sex distribution. Significant differences were found between the COVID-19 and pre-COVID-19 cohorts in HOMA-index (3.8 (interquartile range [IQR])): 3.3; 4.1) vs. 3.2 (IQR: 2.8; 3.5, p < 0.001), total cholesterol (208.8 mg/dL (IQR: 189.9; 214.5) vs. 198.5 mg/dL (IQR: 189.5; 207.4), p < 0.001), and GPT (93.4 (IQR 88.7; 96.5) vs. 72.8 U/L (IQR 68.9; 75.7), p < 0.001). The COVID-19 cohort reported significantly higher consumption of obesity-promoting food components, such as soft drinks, meat, sausages, fast food and delivery food, chocolate, and sweets. There was also a significant decrease in cognitive hunger control (p = 0.002) and an increase in distractibility potential (p = 0.001) while eating. HrQoL was significantly lower in the COVID-19 cohort (p = 0.001). CONCLUSIONS: This study reveals the adverse associations of exposure to the public health measures during the COVID-19 pandemic with nutrition, dietary content, and HrQoL in adolescents with preexisting obesity. These findings underscore the importance of tailored preventive and treatment strategies for addressing the specific challenges of disruptive events such as pandemics, especially in population-based context.

Successful telehealth transformation of a pediatric outpatient obesity teaching program due to the COVID-19 pandemic - the "Video KiCK" program.

OBJECTIVES: To investigate if digital approaches can ameliorate the known consequences of social-distancing restrictions in the context of the global COVID-19 pandemic for adolescent participants originally registered for a face-to-face outpatient weight regulation program and whether video-based multiprofessional outpatient obesity therapy is successful for a group of adolescents with preexisting obesity. METHODS: The certified KiCK outpatient training program for children and adolescents with overweight and obesity was remodeled as a consequence of the lockdown traditional face-to-face program to a completely digital and video-based format on short notice. The virtual approach was compared with the results of the conventional program regarding metabolic parameters, body mass index standard deviation score (BMI SDS), well-being, and physical fitness. RESULTS: Sixty-nine of 77 enrolled participants for KiCK (age 8 to 17 years, BMI z score >2.0) were able and willing to participate virtually. After the first lockdown significant improvements of BMI SDS (mean 0.18; p=0.02), homeostasis model assessment (HOMA) index (mean 1.4; p=0.016), triglycerides (mean 0.18 mmol/dL; p=0.021), 6 minute-walk-test (mean 97.0 m; p=0.030, and well-being according to the World Health Organization 5 (WHO-5) questionnaire (mean 2.5; p=0.002) were found after the virtual intervention, which was comparable to the results observed previously in matched pairs data from the program during the pre-COVID period. After the end of the second lockdown weight SDS, BMI SDS, HOMA INDEX, and cholesterol were also measured reduced compared to baseline parameters measured before program initiation. Walking distance in the 6 MWT and improvement in general well-being in the WHO-5 questionnaire also persisted. CONCLUSIONS: These results indicate good acceptance and efficacy of the video-intervention for youth with overweight and obesity during the lockdown, supporting the use of virtual modules in future programs after the pandemic.

A Comparative Study on Carbohydrate Estimation: GoCARB vs. Dietitians.

GoCARB is a computer vision-based smartphone system designed for individuals with Type 1 Diabetes to estimate plated meals' carbohydrate (CHO) content. We aimed to compare the accuracy of GoCARB in estimating CHO with the estimations of six experienced dietitians. GoCARB was used to estimate the CHO content of 54 Central European plated meals, with each of them containing three different weighed food items. Ground truth was calculated using the USDA food composition database. Dietitians were asked to visually estimate the CHO content based on meal photographs. GoCARB and dietitians achieved comparable accuracies. The mean absolute error of the dietitians was 14.9 (SD 10.12) g of CHO versus 14.8 (SD 9.73) g of CHO for the GoCARB (p = 0.93). No differences were found between the estimations of dietitians and GoCARB, regardless the meal size. The larger the size of the meal, the greater were the estimation errors made by both. Moreover, the higher the CHO content of a food category was, the more challenging its accurate estimation. GoCARB had difficulty in estimating rice, pasta, potatoes, and mashed potatoes, while dietitians had problems with pasta, chips, rice, and polenta. GoCARB may offer diabetic patients the option of an easy, accurate, and almost real-time estimation of the CHO content of plated meals, and thus enhance diabetes self-management.