Due to increasingly high rates of child overweight and obesity, it is important to identify risk and protective factors that may inform more effective prevention and intervention. The degree of organization in the family home environment is a studied, but not well-specified, factor that may impact child weight. Prior research on household organization has examined an array of constructs, including family routines, limit setting, household chaos, crowding and the broad home environment. This study systematically reviews literature on organization within the family home environment and weight among children ages 2-12. Six hundred thirty-seven studies were reviewed by four coders for eligibility, and 32 studies were included in the final synthesis. Overall, 84% of studies provided evidence for relations between at least one indicator of organization within the family home environment and child weight. Studies provided compelling evidence across several constructs, suggesting that the relevance of household organization to child weight extends beyond a single indicator. Directions for future work include (i) examining the mediating role of health behaviours, (ii) examining the moderating role of socioeconomic factors, (iii) broadening this evidence base across cultures and nationalities and (iv) integrating constructs to develop a comprehensive model of organization within the home environment.

Adoption of certain behavioral and social routines that organize and structure the home environment may help families navigate the challenges presented by the COVID-19 pandemic. The current cross-sectional study aimed to assess family routines prior to and during the COVID-19 pandemic and examine associations with individual and family well-being. Using a national sample, 300 caregivers of children ages 6-18 were surveyed using Amazon Mechanical Turk platform during the first three months of COVID-19 pandemic in the United States. Caregivers reported on family demographics, COVID-19related stress, engagement in family routines (prior to and during the COVID-19 pandemic), stress mindset, self-efficacy, and family resiliency. Overall, families reported engaging in fewer routines during the COVID-19 pandemic compared to prior to the pandemic. COVID-19-related stress was highest in low-income families, families of healthcare workers, and among caregivers who had experienced the COVID-19 virus. Moreover, COVID-19-related stress was negatively related to self-efficacy, positively related to an enhancing stress mindset, and negatively related to family resilience. Engagement in family routines buffered relations between COVID-19-related stress and family resilience, such that COVID-19-related stress was not associated with lower family resilience among families that engaged in high levels of family routines. Results suggest that family routines were challenging to maintain in the context of the COVID-19 pandemic, but were associated with better individual and family well-being during this period of acute health, economic, and social stress. Highlights• Families reported engaging in fewer routines during the COVID-19 pandemic, when compared to prior to the pandemic.• Families reported significant reductions in child bedtime routines and screen time limitations during the COVID-19 pandemic, when compared to prior to the pandemic.• Engagement in family routines buffered the impact of stress on family resilience during the COVID-19 pandemic.The onset of the COVID-19 (coronavirus) pandemic was a major public health event characterized by unprecedented disruptions to daily life in the United States and around the world. By April of 2020, 48/50 states enacted state-wide school/school district closures for the entire academic year (Education Week, 2020) and 45/50 states issued local or statewide stay-at-home orders (NBC News, 2020). These dramatic changes to daily life, occurring in the context of economic and health uncertainty, posed notable challenges to the psychological well-being of individuals of all ages. Negative effects may include post-traumatic stress symptoms, confusion, and anger (Brooks et al., 2020). Indeed, a preliminary poll of US adults in March 2020 found that nearly half of respondents endorsed that their life had changed in a "major way" due to the COVID-19 pandemic, and by May of 2020, one third of poll respondents reported high levels of psychological distress (Pew Research Center, 2020).Despite emerging...

The application of artificial intelligence (AI) to healthcare has garnered significant enthusiasm in recent years. Despite the adoption of new analytic approaches, medical education on AI is lacking. We aim to create a usable AI primer for medical education. We discuss how to generate a clinical question involving AI, what data are suitable for AI research, how to prepare a dataset for training and how to determine if the output has clinical utility. To illustrate this process, we focused on an example of how medical imaging is employed in designing a machine learning model. Our proposed medical education curriculum addresses AI’s potential and limitations for enhancing clinicians’ skills in research, applied statistics and care delivery.

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BACKGROUND: The structure provided by school settings even with no specific obesity-intervention may prevent weight gain. This meta-analytic study considered this premise by examining weight outcomes from control groups in published randomized controlled trials of school-year obesity-related interventions conducted in-school and out-of-school. METHODS: A systematic review and random-effects meta-analysis were conducted in accordance with Preferred Reporting Items of Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Databases were systematically searched and resulted in 1976 unique citations, with 14 retained for analysis. Analyses examined the change in weight outcomes among control group participants. RESULTS: For studies (N = 6) reporting body mass index (BMI) (kg/m 2) the overall standardized mean difference (SMD) from pre-to post-intervention was 0.085 (raw units 0.278 kg/m 2); for studies (N = 9) reporting zBMI, the SMD was 0.022 (0.020 z-scores), for studies (N = 2) reporting waist circumference (cm), the SMD was 0.149 (1.609 cm); for studies (N = 2) reporting BMI percentile, the SMD was 0.064 (0.985 percentiles); and for studies (N = 1) reporting percent body fat, the SMD was 0.031 (0.30 percentage). CONCLUSIONS: Children assigned to control conditions (as part of school-based obesity-related interventions) experience, on average, minimal changes in weight outcomes during the school year. Therefore, routine practices of schools may protect against unhealthy weight gains.

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