Strong Leaders Strong Schools: 2007 State Laws

Summarizes state laws enacted during the 2007 sessions to support school leadership initiatives, including efforts to improve statewide standards, training, mentoring, certification, professional development, assessment, compensation, and governance

Strong Leaders Strong Schools: 2009 School Leadership Laws

Provides an overview of state laws enacted to support school leader initiatives in 2009, addressing issues including the roles, responsibilities, and authority of principals; professional development; assessing effectiveness; and governance structures

Quantifying sleep architecture dynamics and individual differences using big data and Bayesian networks

The pattern of sleep stages across a night (sleep architecture) is influenced by biological, behavioral, and clinical variables. However, traditional measures of sleep architecture such as stage proportions, fail to capture sleep dynamics. Here we quantify the impact of individual differences on the dynamics of sleep architecture and determine which factors or set of factors best predict the next sleep stage from current stage information. We investigated the influence of age, sex, body mass index, time of day, and sleep time on static (e.g. minutes in stage, sleep efficiency) and dynamic measures of sleep architecture (e.g. transition probabilities and stage duration distributions) using a large dataset of 3202 nights from a non-clinical population. Multi-level regressions show that sex effects duration of all Non-Rapid Eye Movement (NREM) stages, and age has a curvilinear relationship for Wake After Sleep Onset (WASO) and slow wave sleep (SWS) minutes. Bayesian network modeling reveals sleep architecture depends on time of day, total sleep time, age and sex, but not BMI. Older adults, and particularly males, have shorter bouts (more fragmentation) of Stage 2, SWS, and they transition less frequently to these stages. Additionally, we showed that the next sleep stage and its duration can be optimally predicted by the prior 2 stages and age. Our results demonstrate the potential benefit of big data and Bayesian network approaches in quantifying static and dynamic architecture of normal sleep

Predictive Values of Self‐Reported Periodontal Need: National Health and Nutrition Examination Survey III

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142204/1/jper1551.pd

Sociodemographic characteristics and diabetes predict invalid self-reported non-smoking in a population-based study of U.S. adults

BACKGROUND: Nearly all studies reporting smoking status collect self-reported data. The objective of this study was to assess sociodemographic characteristics and selected, common smoking-related diseases as predictors of invalid reporting of non-smoking. Valid self-reported smoking may be related to the degree to which smoking is a behavior that is not tolerated by the smoker's social group. METHODS: True smoking was defined as having serum cotinine of 15+ng/ml. 1483 "true" smokers 45+ years of age with self-reported smoking and serum cotinine data from the Mobile Examination Center were identified in the third National Health and Nutrition Examination Survey. Invalid non-smoking was defined as "true" smokers self-reporting non-smoking. To assess predictors of invalid self-reported non-smoking, odds ratios (OR) and 95% confidence intervals (CI) were calculated for age, race/ethnicity-gender categories, education, income, diabetes, hypertension, and myocardial infarction. Multiple logistic regression modeling took into account the complex survey design and sample weights. RESULTS: Among smokers with diabetes, invalid non-smoking status was 15%, ranging from 0% for Mexican-American (MA) males to 22%–25% for Non-Hispanic White (NHW) males and Non-Hispanic Black (NHB) females. Among smokers without diabetes, invalid non-smoking status was 5%, ranging from 3% for MA females to 10% for NHB females. After simultaneously taking into account diabetes, education, race/ethnicity and gender, smokers with diabetes (OR(Adj )= 3.15; 95% CI: 1.35–7.34), who did not graduate from high school (OR(Adj )= 2.05; 95% CI: 1.30–3.22) and who were NHB females (OR(Adj )= 5.12; 95% CI: 1.41–18.58) were more likely to self-report as non-smokers than smokers without diabetes, who were high school graduates, and MA females, respectively. Having a history of myocardial infarction or hypertension did not predict invalid reporting of non-smoking. CONCLUSION: Validity of self-reported non-smoking may be related to the relatively slowly progressing chronic nature of diabetes, in contrast with the acute event of myocardial infarction which could be considered a more serious, major life changing event. These data also raise questions regarding the possible role of societal desirability in the validity of self-reported non-smoking, especially among smokers with diabetes, who did not graduate from high school, and who were NHB females

Feeling (Mis)Understood and Intergroup Friendships in Interracial Interactions

The present research investigated whether having out-group friends serves as a buffer for feeling misunderstood in interracial interactions. Across three experience sampling studies, we found that among ethnic minorities who have few White friends or are not interacting with White friends, daily interracial interactions are associated with feeling less understood. By contrast, we found that among ethnic minorities who have more White friends or are interacting with White friends, the relationship between daily interracial interactions and feeling understood is not significant. We did not find similar results for Whites; that is, having ethnic minority friends did not play a role in the relationship between daily interracial interactions and feeling understood. Together, these studies demonstrate the beneficial effects of intergroup friendships for ethnic minorities

CAEP 2021 Academic Symposium: recommendations for addressing racism and colonialism in emergency medicine

Purpose: Racism and colonialism impact health, physician advancement, professional development and medical education in Canada. The Canadian Association of Emergency Physicians (CAEP) has committed to addressing inequities in health in their recent statement on racism. The objective of this project was to develop recommendations for addressing racism and colonialism in emergency medicine. Methods: The authors, in collaboration with a 40 member working group, conducted a literature search, held a community consultation, solicited input from expert medical, academic and community advisors, conducted a national survey of emergency physicians, and presented draft recommendations at the 2021 CAEP Academic Symposium on Equity, Diversity and Inclusion for a live facilitated discussion with a post-session survey. Results: Sixteen recommendations were generated in the areas of patient care, hospital and departmental commitment to Equity, Diversity, and Inclusion, physician advancement, and professional development and medical education. Conclusion: Emergency physicians are uniquely positioned to promote equity at each encounter with patients, peers and learners. The 16 recommendations presented here are practical steps to countering racism and colonialism everyday in emergency medicine