JGIM ERRATAWindish DM, Diener-West M. A clinician-educator's roadmap to choosing and interpreting statistical tests. J Gen Intern Med. 2006;21:656-660. The following information was inadvertently omitted from this manuscript: Supplementary MaterialThe following supplementary material is available for this article online at www.blackwell-synergy.com Appendix I. Diagrammatic approach to choosing summary measures, statistical tests, and methods.

There is a significant association between multifocal PTC and level VI lymph node positivity, increasing proportionally with the number of foci. These findings recognize multifocality as a sign of tumor aggressiveness, as evidenced by a higher propensity for lymph node metastasis.

SUMMARYEmbryogenesis requires epigenetic information that allows each cell to respond appropriately to developmental cues. Histone modifications are core components of a cell’s epigenome, giving rise to chromatin states that modulate genome function. Here, we systematically profile histone modifications in a diverse panel of mouse tissues at 8 developmental stages from 10.5 days post conception until birth, performing a total of 1,128 ChIP-seq assays across 72 distinct tissue-stages. We combine these histone modification profiles into a unified set of chromatin state annotations, and track their activity across developmental time and space. Through integrative analysis we identify dynamic enhancers, reveal key transcriptional regulators, and characterize the role of chromatin-based repression in developmental gene regulation. We also leverage these data to link enhancers to putative target genes, revealing connections between coding and non-coding sequence variation in disease etiology. Our study provides a compendium of resources for biomedical researchers, and achieves the most comprehensive view of embryonic chromatin states to date.

Objective: To determine differences by Child and Adult Care Food Program (CACFP) participation on nutrition requirements and best practices and barriers to implementing both in early care and education programs (ECEs) stratified by context (centers vs home-based ECEs). Design: Cross-sectional survey. Setting: Three-thousand and fourteen licensed Nebraska ECEs in 2017. Participants: One-thousand three hundred forty-five ECEs. Main Outcome Measure(s): Director-reported nutrition practices in classrooms serving children aged 2-5 years (8 requirements for foods served, 5 best practices for foods served, and 14 best practices for mealtime behaviors). Analysis: Chi-square analysis adjusted for multiple comparisons. Results: Of the sample, 86.8% participated in CACFP, 21.7% were center-based, and 78.3% were homebased. Overall, CACFP participation was related to the higher implementation of CACFP requirements for foods served (P < 0.004 for all) and receiving professional development on nutrition (P < 0.012). In home-based ECEs only, CACFP participation was related to a higher prevalence of serving meals familystyle (P = 0.002); however, these practices had low implementation overall. Conclusion and Implications: Findings suggest strengthening of requirements to include staff mealtime behaviors beyond service of healthful foods. Improving CACFP enrollment and including CACFP standards in state licensing requirements may be key strategies for improving nutrition practices in ECEs.

Body mass index (BMI) continues to be used as a marker of health due its strong correlation with adiposity and health. Physical activity (PA) has been shown to be favourably associated with a desirable BMI. Few studies have examined mode of PA participation across BMI indices with a mutually exclusive underweight BMI range. The purpose of this study was to examine the relationship between modes of PA and BMI. Data from the 2015 Behavioral Risk Factor Surveillance System was analysed. Underweight, overweight, and obese BMI categories possessed 35, 20, and 46% lower odds of meeting current PA guidelines. The obese BMI group was found to have lower odds of meeting the aerobic only and strength only guidelines. Underweight, overweight, and obese groups possessed 63, 18, and 76% greater odds of meeting neither PA guideline, respectively.