An Interactive Live and Online Cooking Program for Children in Vulnerable Families-An Exploratory Study.

The COVID-19 pandemic has highlighted the importance of technology for communication and social interactions. Especially for children in low-income families-a vulnerable population suffering from health and digital disparities-the situation worsened during the pandemic. Earlier studies in times of COVID-19 suggested that the children in Korea who usually do homework and dine at community childcare centers (CCCCs, free after-school care places) need to learn more about how to eat healthily and how to interact with others using digital technology. Therefore, to reduce these children's health and digital inequalities, an interactive live and online cooking program was developed and provided to 313 children and 95 staff members at the 29 CCCCs located in the southern provinces in South Korea. The aim of the current study was to explore the experiences of children and staff with the program. After surveying their experiences, a high degree of satisfaction was found (children: 3.60 ± 0.10; staff: 3.63 ± 0.08 points out of 4.00). Aspects that needed improvement in the program were related to (in)experience in online technology, the frequency and timing of the cooking classes, and the communication between the centers and (online) chefs. In addition, in a word cloud analysis, terms such as 'fun', 'delicious', and 'want' were highlighted for children, and terms such as 'participating' and 'preparation' dominantly appeared for the staff. In the analysis of negative experiences, terms related to environmental factors such as 'sound', 'hear', and 'voice' were highlighted. This novel but preliminary approach for children from low-income families, by integrating cooking with digital technology, indicates that with enough digital support, the CCCCs are a promising platform to promote healthy eating and digital literacy. Optimizing and disseminating these strategies during this pandemic period, and future pandemics, could be beneficial to keep children in their communities healthy, and ultimately reduce socioeconomic health disparities.

External validation of a prediction model for estimating fat mass in children and adolescents in 19 countries: individual participant data meta-analysis.

OBJECTIVE: To evaluate the performance of a UK based prediction model for estimating fat-free mass (and indirectly fat mass) in children and adolescents in non-UK settings. DESIGN: Individual participant data meta-analysis. SETTING: 19 countries. PARTICIPANTS: 5693 children and adolescents (49.7% boys) aged 4 to 15 years with complete data on the predictors included in the UK based model (weight, height, age, sex, and ethnicity) and on the independently assessed outcome measure (fat-free mass determined by deuterium dilution assessment). MAIN OUTCOME MEASURES: The outcome of the UK based prediction model was natural log transformed fat-free mass (lnFFM). Predictive performance statistics of R2, calibration slope, calibration-in-the-large, and root mean square error were assessed in each of the 19 countries and then pooled through random effects meta-analysis. Calibration plots were also derived for each country, including flexible calibration curves. RESULTS: The model showed good predictive ability in non-UK populations of children and adolescents, providing R2 values of >75% in all countries and >90% in 11 of the 19 countries, and with good calibration (ie, agreement) of observed and predicted values. Root mean square error values (on fat-free mass scale) were <4 kg in 17 of the 19 settings. Pooled values (95% confidence intervals) of R2, calibration slope, and calibration-in-the-large were 88.7% (85.9% to 91.4%), 0.98 (0.97 to 1.00), and 0.01 (-0.02 to 0.04), respectively. Heterogeneity was evident in the R2 and calibration-in-the-large values across settings, but not in the calibration slope. Model performance did not vary markedly between boys and girls, age, ethnicity, and national income groups. To further improve the accuracy of the predictions, the model equation was recalibrated for the intercept in each setting so that country specific equations are available for future use. CONCLUSION: The UK based prediction model, which is based on readily available measures, provides predictions of childhood fat-free mass, and hence fat mass, in a range of non-UK settings that explain a large proportion of the variability in observed fat-free mass, and exhibit good calibration performance, especially after recalibration of the intercept for each population. The model demonstrates good generalisability in both low-middle income and high income populations of healthy children and adolescents aged 4-15 years.

Systematic review of ecological momentary assessment (EMA) studies of five public health-related behaviours: review protocol.

INTRODUCTION: Ecological momentary assessment (EMA) involves repeated, real-time assessments of phenomena (eg, cognitions, emotions, behaviours) over a period of time in naturalistic settings. EMA is increasingly used to study both within-person and between-person processes. We will review EMA studies investigating key health behaviours and synthesise: (1) study characteristics (eg, frequency of assessments, adherence, incentives), (2) associations between psychological predictors and behaviours and (3) moderators of adherence to EMA protocols. METHODS AND ANALYSIS: This review will focus on EMA studies conducted across five public health behaviours in adult, non-clinical populations: movement behaviour (including physical activity and sedentary behaviour), dietary behaviour, alcohol consumption, tobacco smoking and preventive sexual health behaviours. Studies need to have assessed at least one psychological or contextual predictor of these behaviours. Studies reporting exclusively on physiological outcomes (eg, cortisol) or those not conducted under free-living conditions will be excluded. We will search OVID MEDLINE, Embase, PsycINFO and Web of Science using terms relevant to EMA and the selected health behaviours. Reference lists of existing systematic reviews of EMA studies will be hand searched. Identified articles will be screened by two reviewers. This review is expected to provide a comprehensive summary of EMA studies assessing psychological or contextual predictors of five public health behaviours. ETHICS AND DISSEMINATION: The results will be disseminated through peer-reviewed publications and presentations. Data from included studies will be made available to other researchers. No ethics are required. PROSPERO REGISTRATION NUMBER: CRD42020168314.

Who are the assistant cooks at the community child centers in South Korea? Focus group interviews with workfare program participants.

PURPOSE: Community child centers (CCCs) were introduced to provide after-school activities and care, including meal services to children from low-income families. The assistant cooks, who have the main responsibility for making and serving food at CCCs, are a major factor influencing the eating habits of children using CCCs. In this study, we tried to identify and understand who the assistant cooks are, what their job responsibilities are, and what they need in order to be able to provide children with healthy meals. METHODS: Three focus group interviews were held with 17 workfare program participants who worked as assistant cooks at CCCs, and content analysis methods were applied using the NVivo 12 qualitative data analysis software. RESULTS: The assistant cooks reflected on their perceptions of the children's health at the CCCs, their own cooking style, and their role at the CCCs. Additionally, barriers to the optimal provision of their services were pointed out, and improvements were suggested. CONCLUSION: The results of this study can be used as a fundamental resource for the development of tailored interventions that consider a child's unique environment to address health disparities, specifically with respect to childhood obesity.