The aim of this study was to test the hypothesis that youths with obesity, when removed from structured school activities and confined to their homes during the coronavirus disease 2019 pandemic, will display unfavorable trends in lifestyle behaviors. Methods: The sample included 41 children and adolescents with obesity participating in a longitudinal observational study located in Verona, Italy. Lifestyle information including diet, activity, and sleep behaviors was collected at baseline and 3 weeks into the national lockdown during which home confinement was mandatory. Changes in outcomes over the two study time points were evaluated for significance using paired t tests. Results: There were no changes in reported vegetable intake; fruit intake increased (P = 0.055) during the lockdown. By contrast, potato chip, red meat, and sugary drink intakes increased significantly during the lockdown (P value range, 0.005 to < 0.001). Time spent in sports activities decreased by 2.30 (SD 4.60) h/wk (P = 0.003), and sleep time increased by 0.65 (SD 1.29) h/d (P = 0.003). Screen time increased by 4.85 (SD 2.40) h/d (P < 0.001). Conclusions: Recognizing these adverse collateral effects of the coronavirus disease 2019 pandemic lockdown is critical in avoiding depreciation of weight control efforts among youths afflicted with excess adiposity. Depending on duration, these untoward lockdown effects may have a lasting impact on a child's or adolescent's adult adiposity level.

Objective Stay‐at‐home orders in response to the COVID‐19 pandemic have forced abrupt changes to daily routines. This study assessed lifestyle changes across different BMI classifications in response to the global pandemic. Methods The online survey targeting adults was distributed in April 2020 and collected information on dietary behaviors, physical activity, and mental health. All questions were presented as “before” and “since” the COVID‐19 pandemic. Results In total, 7,753 participants were included. The sample included 32.2% of individuals with normal weight, 32.1% overweight, and 34.0% had obesity. During the pandemic, overall scores for healthy eating increased (p<0.001), due to less eating out and increased cooking ( p <0.001). Sedentary leisure behaviors increased while time spent in physical activity (absolute time and intensity‐adjusted) declined (p<0.001). Anxiety scores increased 8.78±0.21 during the pandemic and the magnitude of increase was significantly greater in people with obesity (p≤0.01). Weight gain was reported in 27.5% of the total sample compared to 33.4% in participants with obesity. Conclusions The COVID‐19 pandemic produced significant health effects, well beyond the virus itself. Government mandates together with fear of contracting the virus have significantly impacted lifestyle behaviors alongside declines in mental health. These deleterious impacts have disproportionally affected individuals with obesity.

PurposeThe spread of COVID-19 and the associated stay-at-home orders and shutdowns of gyms and fitness centers have drastically influenced health behaviors leading to widespread reductions in physical activity (PA). The recent Call to Action from the American College of Sports Medicine has promoted “innovative strategies to promote PA during the COVID-19 pandemic.” We aimed to identify individual-level factors that protected against declines in PA levels amid the COVID-19 restrictions.MethodsWe used the Pennington Biomedical COVID-19 Health Behaviors Survey for our analyses and used mixed-effect linear and generalized linear models to estimate the effects of individual-level factors on changes in PA levels during the COVID-19 restrictions.ResultsParticipants (n = 4376) provided information on PA behaviors before and during the COVID-19 shutdown. Overall, PA levels declined by a mean ± SD of 112 ± 1460 MET·min·wk−1 during the COVID-19 shutdown; however, changes in PA were heterogeneous, with 55% of the participants reporting increases in or maintenance of PA during that time. Several social and demographic factors were significantly related to declines in PA, including high prepandemic PA levels, living alone (difference = 118 MET·min·wk−1), low household income (difference between the highest and the lowest income group = 363 MET·min·wk−1), COVID-19-related changes in income (difference = 110 MET·min·wk−1), and loss of employment (difference = 168 MET·min·wk−1). The substitution of prepandemic gym attendance with the purchase and use of home exercise equipment or exercise through virtual fitness platforms promoted increases in PA during the COVID-19 shutdown.ConclusionsWhile promoting PA through the COVID-19 pandemic, it is important to consider demographic factors, which greatly influence health behaviors and implementation of, and access to, replacement behaviors. The promotion of such strategies could help maintain PA levels during potential future stay-at-home orders.

High-intensity interval training (HIIT) has been suggested as an effective alternative to traditional moderate-intensity continuous training (MICT) that can yield improvements in a variety of health outcomes. Yet, despite the urgent need to find effective strategies for the treatment of pediatric obesity, only a few studies have addressed the impact of HIIT on eating behaviors and body composition in this population. This study aimed to compare the effect of HIIT versus MICT on eating behaviors in adolescents with obesity and to assess if the participants’ baseline dietary status is associated with the success of the intervention. Forty-three adolescents with obesity were randomly assigned to a 16-week MICT or HIIT intervention. Body composition and 24-h ad libitum energy intake were assessed at baseline and at the end of the program. Restrained eating, emotional eating, and external eating were assessed using the Dutch Eating Behavior Questionnaire at baseline. Both interventions led to significant weight, body mass index (BMI), and fat mass percentage (FM%) reductions, with better improvements in FM% in the HIIT group; whereas 24-h ad libitum energy intake increased to a similar extent in both groups. HIIT provides better body composition improvements over MICT, despite a similar increase in energy intake. Restrained eaters experienced less weight loss and smaller BMI reduction compared with unrestrained eaters; higher baseline cognitively restrained adolescents showed a greater increase of their ad libitum energy intake. Novelty HIIT favors better body composition improvements compared with MICT. Both MICT and HIIT increased ad libitum energy intake in adolescents with obesity. Weight loss achievement is better among unrestrained eaters.

Background: Large portions of food promote intake, but the mechanisms that drive this effect are unclear. Previous neuroimaging studies have identified the brain-reward and decision-making systems that are involved in the response to the energy density (ED) (kilocalories per gram) of foods, but few studies have examined the brain response to the food portion size (PS). Objective: We used functional MRI (fMRI) to determine the brain response to food images that differed in PSs (large and small) and ED (high and low). Design: Block-design fMRI was used to assess the blood oxygen leveldependent (BOLD) response to images in 36 children (7-10 y old; girls: 50%), which was tested after a 2-h fast. Pre-fMRI fullness and liking were rated on visual analog scales. A whole-brain cluster-corrected analysis was used to compare BOLD activation for main effects of the PS, ED, and their interaction. Secondary analyses were used to associate BOLD contrast values with appetitive traits and laboratory intake from meals for which the portions of all foods were increased. Results: Compared with small-PS cues, large-PS cues were associated with decreased activation in the inferior frontal gyrus (P , 0.01). Compared with low-ED cues, high-ED cues were associated with increased activation in multiple regions (e.g., in the caudate, cingulate, and precentral gyrus) and decreased activation in the insula and superior temporal gyrus (P , 0.01 for all). A PS 3 ED interaction was shown in the superior temporal gyrus (P , 0.01). BOLD contrast values for high-ED cues compared with low-ED cues in the insula, declive, and precentral gyrus were negatively related to appetitive traits (P , 0.05). There were no associations between the brain response to the PS and either appetitive traits or intake. Conclusions: Cues regarding food PS may be processed in the lateral prefrontal cortex, which is a region that is implicated in cognitive control, whereas ED activates multiple areas involved in sensory and reward processing. Possible implications include the development of interventions that target decision-making and reward systems differently to moderate overeating.Am J Clin Nutr 2017;105:295-305.