Daily steps in midlife and older adults: relationship with demographic, self-rated health, and self-reported physical activity

The relationship between average daily step counts and age, body mass index (BMI), self-reported physical activity (PA) level, and perceived health was determined in 85 middle-aged and older adults who wore a pedometer for 7 consecutive days. Average daily steps were significantly (p < .05) correlated with BMI (r = -.26), age (r = -.44) and perceived health (r = .53) but not with self-reported PA level (r = .19). The adjusted percentage of participants classified as meeting the PA recommendation in < or = 5,000, 5,001-9,999, and > or = 10,000 steps/day categories ranged from 53 to 61%. These findings support previous evidence in younger populations suggesting that the recommended minimal level of health-related PA may be achieved despite not accumulating 10,000 steps/day.     

Supporting optimal child development through Early Head Start and Head Start programs: Reflections on secondary data analyses of FACES and EHSREP

We are delighted to reflect on the 10 papers highlighted in this important special issue of Early Childhood Research Quarterly devoted to recent secondary data analyses of the FACES and EHSREP datasets. First, we provide some background on Head Start research and give an overview of the large-scale Head Start and Early Head Start datasets that are available for researchers to analyze. Then, we comment on the papers in this special issue from a methodological and statistical standpoint. Finally, we reflect on themes that stood out across the various papers. Throughout, we make recommendations for future large-scale data collection efforts and future research on Head Start and Early Head Start programs.     

Formative assessment in an online learning environment to support flexible on-the-job learning in complex professional domains

This article describes a blueprint for an online learning environment that is based on prominent instructional design and assessment theories for supporting learning in complex domains. The core of this environment consists of formative assessment tasks (i.e., assessment for learning) that center on professional situations. For each professional situation, three levels of situational complexity are defined, and within each of these three levels, tasks are offered that differ in the degree of support offered to the learner. This environment can support (beginning) professionals in complex domains in gaining insight into the available repertoire of behavior in professional situations, as well as into the quality and effectiveness of that behavior (assessment criteria), while simultaneously helping them to develop insight into the standards that their own behavior should (eventually) match.     

Motivation and degree completion in a university-based teacher education programme

This study investigated which factors determine degree completion in a Dutch university-based teacher education programme. We assumed that both student characteristics and characteristics of the learning environment affected degree completion. We included the following factors in our study: motivation for becoming a teacher, teaching self-efficacy, professional commitment, perceptions of time management and perceptions of quality of instruction in the teacher education programme. Data were collected from 135 preservice teachers using a digital questionnaire. The student administration of the teacher education department provided data on degree completion. Analyses showed that teaching ability was the most important motive for becoming a teacher; it was also found to be a negative predictor of degree completion. We found that social utility values, professional commitment, perceptions of quality of instruction and time management contributed to the prediction of degree completion. The findings and implications for teacher education and policy are discussed.     

Closing the Racial/Ethnic Gap Between Students of Color and Their Teachers: An Elusive Goal

This article examines minority teacher recruitment policies and programs of the past two decades and explores their influence on the racial/ethnic makeup of the teaching force in elementary and secondary public schools. The results show that while important progress has been made toward increasing the overall number and proportion of minority teachers in the public schools, those gains have been eclipsed by the rapid growth of the minority student population. As a result, the racial/ethnic gap between students of color and their teachers has actually increased over the years. The authors provide an overview of current minority teacher recruitment state policies and introduce the Teacher-Student Parity Index, a new metric for comparing the proportions of teachers and students from different racial/ethnic groups to gain a more textured understanding of the demographic reality of today's schools than is presently found in the literature. The authors conclude with recommendations for policy and research.     

Using growth curves to determine the timing of booster sessions

Booster sessions are often recommended to reestablish or reinforce the cognitive messages or behavior changes due to therapeutic and behavioral interventions. To plan intervention‐relevant booster sessions, researchers need to know the pattern(s) of individual change over time in outcome variables and for experimental groups. Growth curve analysis of repeated measures can estimate these patterns for different categories of intervention participants. This article demonstrates an application of this method using data from a recently completed multisite randomized experiment that compared 3 different counseling and testing methods for prevention of HIV infection and other sexually transmitted diseases, Project RESPECT. Reported self‐efficacy for condom use with the main sexual partner is used as an illustrative example. For most experimental groups, self‐efficacy for condom use declined for both female and male respondents soon after the intervention and booster sessions should have been instituted within 3 months after the intervention. The article closes with some recommendations for both prospective and retrospective use of growth curves to rationally plan the timing of booster sessions and to evaluate their effectiveness in preventing relapse.     

Urine dipstick analysis for identification of runners susceptible to acute kidney injury following an ultramarathon

Abstract

This study examined whether urine dipstick testing might be useful to predict the development of acute kidney injury after an ultramarathon. Participants in the 2011 161-km Western States Endurance Run underwent post-race blood and urine dipstick analyses. Of the 310 race finishers, post-race urine dipstick testing was completed on 152 (49%) and post-race blood also was obtained from 150 of those runners. Based on “injury” and “risk” criteria for acute kidney injury of blood creatinine 2.0 and 1.5 times estimated baseline, respectively, 4% met the criteria for injury and an additional 29–30% met the criteria for risk of injury. Those meeting the injury criteria had higher creatine kinase concentrations (P < 0.001) than those not meeting the criteria. Urine dipstick tests that read positive for at least 1+ protein, 3+ blood, and specific gravity ≥ 1.025 predicted those meeting the injury criteria with sensitivity of 1.00 (95% confidence interval [CI] 0.54–1.00), specificity of 0.76 (95% CI 0.69–0.83), positive predictive value of 0.15 (95% CI 0.06–0.30), negative predictive value of 1.00 (95% CI 0.97–1.00), and likelihood ratio for a positive test of 4.2. We conclude that urine dipstick testing was successfully able to identify those individuals meeting injury criteria for acute kidney injury with excellent sensitivity and specificity.