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Background: Physical activity (PA) and nutrition in children have an impact on overall physical and mental well-being, cognitive, and social development. This study aims to report on the best current available evidence on PA, body composition proxies, and nutritional status of South African children and adolescents, based on the published findings between 2018 and 2022, which comprise the 2022 Healthy Active Kids South Africa Report Card. Methods: A comprehensive literature search of online databases, along with hand searching and a gray literature search, was conducted based on PA, body composition proxies, and nutrition indicators defined, in part, by the Active Healthy Kids Global Alliance. Results: Compared with the 2018 report card, there was an improvement in the majority of PA indicators which include overall PA (B–), active transportation (B–), physical fitness (B–), and government policy and programs (C). Body composition proxies and most of the nutrition indicators remained unchanged. The indicators that regressed from 2018 to 2022 included community and environmental influences (D), as well as participation in organized sport (D–). Conclusions: Despite the apparent improvement in overall PA levels in children and adolescents, there is a lack of tangible evidence of actual implementation of policies and programs. There was also a lack of nationally representative data for most indicators. Overall, there is a need to identify intersectoral, equitable approaches for promoting PA and healthy eating in South African children and adolescents and ongoing monitoring and surveillance. [ABSTRACT FROM AUTHOR]

Food cue reactivity (FCR) is an appetitive trait associated with overeating and weight gain. We developed a laboratory craving assessment to objectively evaluate cognitive aspects of FCR. This study examined the preliminary construct and criterion validity of this craving assessment and evaluated 4 different interventions, 2 of which incorporated cue-exposure treatment for food, on craving over treatment and follow-up. 271 treatment-seeking adults with overweight/obesity (body mass index = 34.6[5.2]; age = 46.5[11.8]; 81.2% female; 61.6% non-Latinx White) completed the Food Cue Responsivity Scale and the laboratory craving assessment, during which they alternated holding and smelling a highly craved food and provided craving ratings over 5 min. Participants were subsequently randomized to 26 treatment sessions over 12-months of ROC, Behavioral Weight Loss (BWL), a combined arm (ROC+) and an active comparator (AC), and repeated the craving assessment at post-treatment and 12-month follow-up. Linear mixed-effects models assessed associations between trial type (holding vs. smelling), trial number, pre-treatment FCR, treatment arm, assessment time point, and craving. Cravings were greater when smelling vs. holding food (b = 0.31, p

IntroductionThe COVID-19 pandemic profoundly affected the health and well-being of people globally. Some studies suggest individuals with overweight or obesity may have been more adversely impacted by pandemic restrictions. Additionally, military personnel may have been more vulnerable to stress during the pandemic because of job demands (e.g., work in close quarters). Our research group was conducting a randomized clinical trial of a weight management intervention in active duty military personnel with overweight or obesity when the COVID-19 pandemic struck. Thus, we collected additional pandemic-related data from participants enrolled during the COVID-19 pandemic and conducted exploratory analyses to understand how the pandemic affected their stress levels and perceived abilities to engage in health behaviors like exercise and healthy eating. The aims of this exploratory study were to: (1) assess associations between pandemic-related stress and health behaviors with body fat percentage (BF%) and psychological and physical health, and (2) explore how pandemic-related stress and health behaviors affected BF% during and after the intervention.Materials and methodsA total of 29 active duty Navy personnel (55% female, 69% White) were enrolled after the onset of pandemic restrictions and completed measures assessing pandemic-related stress and health behaviors as well as measures of general psychological and physical health before the intervention. BF% was collected at 5 timepoints, including baseline, during, and following the intervention. Bivariate correlations assessed associations at baseline. Linearmixed-effects longitudinal models explored how pandemic-related stress and health behaviors affected BF%. Post-hoc analyses evaluated the effects of pandemic factors on BF% at each timepoint.ResultsMost participants perceived of the pandemic as increasing stress and detracting from their abilities to engage in health behaviors (i.e., exercise and healthy eating). Higher pandemic stress was significantly associated with reporting exercise and healthy eating as more difficult, worse overall health, and more anxiety and general stress. Reporting exercise as harder during the pandemic also was associated with more psychological distress at baseline. A linearmixed- effects model controlling for age, sex, and number of intervention sessions attended revealed endorsing "exercise as harder" was associated with higher BF%. Post-hoc regression analyses revealed rating "exercise as harder" significantly predicted higher BF% 3 months post-intervention (B = 0.65, P = .01), whereas pandemic stress was not significantly associated with higher BF% at 3 month (B =0.14, P = .08) or 6 month (B = 0.21, P = .09) follow-up.ConclusionsAs expected, most participants perceived of the pandemic as heightening stress and interfering with engagement in health behaviors. It is possible that pandemic-related stress may have exacerbated weight gain-promoting behaviors and/or interfered with achievement of desired weight management outcomes. Outside the context of the pandemic, it may be beneficial for healthcare providers to screen individuals for stress and perceptions of ease of engagement in health behaviors before enrollment in a weight management intervention. Further, tailoring interventions to mitigate stress and promote perceptions of ease in engaging in health behaviors may promote better weight management outcomes.

Lipoprotein(a) [Lp(a)] contributes to cardiovascular disease risk. A genetically determined size polymorphism in apolipoprotein(a) [apo(a)], determined by the number of Kringle (K) repeats, inversely regulates Lp(a) levels. Nongenetic factors including dietary saturated fat influence Lp(a) levels. However, less is known about the effects of carbohydrates including dietary sugars. In this double-blind, parallel arm study among 32 overweight/obese adults, we investigated the effect of consuming glucose- or fructose-sweetened beverages providing 25% of energy requirements for 10 weeks on Lp(a) level and assessed the role of the apo(a) size polymorphism. The mean (±SD) age of participants was 54 ± 8 years, 50% were women, and 75% were of European descent. Following the 10-week intervention, Lp(a) level was reduced by an average (±SEM) of -13.2% ± 4.3% in all participants (P = 0.005); -15.3% ± 7.8% in the 15 participants who consumed glucose (P = 0.07); and -11.3% ± 4.5% in the 17 participants who consumed fructose (P = 0.02), without any significant difference in the effect between the two sugar groups. Relative changes in Lp(a) levels were similar across subgroups of lower versus higher baseline Lp(a) level or carrier versus noncarrier of an atherogenic small (≤22K) apo(a) size. In contrast, LDL-C increased. In conclusion, in older, overweight/obese adults, consuming sugar-sweetened beverages reduced Lp(a) levels by ∼13% independently of apo(a) size variability and the type of sugar consumed. The Lp(a) response was opposite to that of LDL-C and triglyceride concentrations. These findings suggest that metabolic pathways might impact Lp(a) levels.