A Comparison of Measured and Self-Reported Blood Pressure Status among Low-Income Housing Residents in New York City

Self-report is widely used to measure hypertension prevalence in population-based studies, but there is little research comparing self-report with measured blood pressure among low-income populations. The objective of this study was to compare self-reported and measured blood pressure status among a sample of low-income housing residents in New York City (n=118). We completed a cross-sectional analysis comparing self-report with measured blood pressure status. We determined the sensitivity, specificity, and positive predictive value (PPV) of each self-report metric. Of the sample, 68.1% was Black, 71.1% had a household income under $25,000/year, and 28.5% did not complete high school. In our study, there was a discrepancy in the prevalence hypertension by self-report (30.5%) versus measurement (39.8%). PPV of self-report was 94.4%. Specificity was 97.2%. Hypertension awareness (sensitivity) was 72.3%. Of individuals not reporting hypertension, 15.9% had measurements in the hypertensive range and 43.9% had measurements in the borderline hypertensive range. Our findings suggest that self-reported and objective measures of hypertension are incongruent among low-income housing residents and may have important implications for population-based research among low-income populations

The relationship of (perceived) epistemic cognition to interaction with resources on the internet

Information seeking and processing are key literacy practices. However, they are activities that students, across a range of ages, struggle with. These information seeking processes can be viewed through the lens of epistemic cognition: beliefs regarding the source, justification, complexity, and certainty of knowledge. In the research reported in this article we build on established research in this area, which has typically used self-report psychometric and behavior data, and information seeking tasks involving closed-document sets. We take a novel approach in applying established self-report measures to a large-scale, naturalistic, study environment, pointing to the potential of analysis of dialogue, web-navigation – including sites visited – and other trace data, to support more traditional self-report mechanisms. Our analysis suggests that prior work demonstrating relationships between self-report indicators is not paralleled in investigation of the hypothesized relationships between self-report and trace-indicators. However, there are clear epistemic features of this trace data. The article thus demonstrates the potential of behavioral learning analytic data in understanding how epistemic cognition is brought to bear in rich information seeking and processing tasks

Applicant versus employee scores on self-report emotional intelligence measures

There exists growing interest to assess applicants' emotional intelligence (EI) via self-report trait-based measures of EI as part of the selection process. However, some studies that experimentally manipulated applicant conditions have cautioned that in these conditions use of self-report measures for assessing EI might lead to considerably higher scores than current norm scores suggest. So far, no studies have scrutinized self-reported EI scores among a sample of actual job applicants. Therefore, this study compares the scores of actual applicants at a large ICT organization (n = 109) on a well-known self-report measure of EI to the scores of employees already working in the organization (n = 239). The current study is the first to show that applicants' scores on a self-report measure of EI during the selection process are indeed higher (d = 1.12) and have less variance (SD ratio = 0.86/1) than incumbents' scores. Finally, a meta-analytic combination of our results with those of earlier research showed that a score increase of about 1 SD in applicant conditions seems to be the rule, regardless of the type of setting, self-report EI measure, and within-versus between-subjects design employed

Adherence to antiretroviral therapy assessed by drug level monitoring and self-report in cameroon

OBJECTIVES: To compare adherence to antiretroviral therapy using drug level monitoring and self-report and to explore the relation between these 2 methods and viral load measurements. METHODS: Sixty patients received a fixed-dose combination of nevirapine, stavudine, and lamivudine in a clinical study in Cameroon. Adherence was assessed every 6 months until month 36 by nevirapine minimal plasma concentration and self-report. Plasma HIV-1 viral load was determined at the same time. Analyses included 159 complete observations. RESULTS: The proportion of patients labeled as "adherent" was significantly lower using nevirapine monitoring (88.7%, 95% confidence interval [CI]: 82.7 to 93.2) than self-report (97.5%, CI: 93.7 to 99.3; P = 0.002). Virologic failure was associated with the nevirapine concentration (adjusted odds ratio [aOR] = 4.43; P = 0.018) but not with the self-reported adherence (aOR = 0.84; P = 0.9). As compared with the virologic outcome, the sensitivity of nevirapine level monitoring for predicting inadequate adherence was 20.5%, the specificity was 91.7%, the positive predictive value was 44.4%, and the negative predictive value was 78.0%. For self-report, the respective values were 2.6%, 97.5%, 25.0%, and 75.5%. CONCLUSIONS: Drug level monitoring provided a more reliable estimate of adherence than self-report. This method could be used in research settings. Operational research is required to define how to improve the accuracy of the self-report method because it is the most feasible method in clinical practice

Distractibility in daily life is reflected in the structure and function of human parietal cortex

We all appreciate that some of our friends and colleagues are more distractible than others. This variability can be captured by pencil and paper questionnaires in which individuals report such cognitive failures in their everyday life. Surprisingly, these self-report measures have high heritability, leading to the hypothesis that distractibility might have a basis in brain structure. In a large sample of healthy adults, we demonstrated that a simple self-report measure of everyday distractibility accurately predicted gray matter volume in a remarkably focal region of left superior parietal cortex. This region must play a causal role in reducing distractibility, because we found that disrupting its function with transcranial magnetic stimulation increased susceptibility to distraction. Finally, we showed that the self-report measure of distractibility reliably predicted our laboratory-based measure of attentional capture. Our findings distinguish a critical mechanism in the human brain causally involved in avoiding distractibility, which, importantly, bridges self-report judgments of cognitive failures in everyday life and a commonly used laboratory measure of distractibility to the structure of the human brai

Emotional intelligence and hot and cool working memory capacity

Emotional Intelligence (EI) is the ability to perceive, use, understand and manage our emotions and the emotions of others. EI, measured through performance-based ability models, seems to favour performance on hot tasks. The aim of the present study is to analyse the relationship between EI, measured through its three main models, and performance on a hot (emotional) and cool (non-emotional) working memory task. 203 undergraduate students of psychology took part in the experiment. They completed an EI test for each of its three main models (performance-based ability model, self-report ability model and self-report mixed model) and a hot and cool working memory task. We found a better performance for higher EI participants, measured through the performance-based ability model instrument (but not with self-report instruments), in the hot working memory task. This result was obtained for the managing branch of the EI instrument. Similar evidence was not found when using the cool working memory task. Our study takes a step forward in the conceptualization of the EI construct within the domain of cognitive processes. They show that, at least when using hot stimuli, the managing branch of the performance-based ability model of EI is a better determinant measure for the working memory capacity than the self-report models.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Emotional intelligence and hot and cool cognitive control ability

Emotional intelligence (EI) is the ability to perceive, use, understand, and regulate emotions. The EI construct has been organized following three main approaches: performance-based ability model, a self-report mixed model, and a self-report ability model. EI appears to be beneficial to the performance of “hot” (i.e., emotionally laden) cognitive tasks when using performance-based ability models but not when using self-report EI models. The aim of the present study is to analyze the relationship between the three models of EI and cognitive control ability during the performance of hot and “cool” (i.e., non-emotionally laden) “go/no-go” tasks. 187 undergraduate students participated in the experimental design. They completed the three EI tests of interest as well as go/no-go tasks; the stimuli used for the hot and cool cognitive task were faces and geometric figures, respectively. Results show that individuals with higher EI, measured through the performance-based ability test, perform better on a hot cognitive control task. Specifically, we provide evidence for negative associations between the “managing” branch of EI measured through the performance-based ability test of EI and the cognitive control index of the hot go/no-go task; when using the self-report EI instruments, no consistent findings were achieved. The study found no such results with the cool task. Findings in terms of the validity and different implications of the different EI models are discussed.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Exploring views on satisfaction with life in young children with chronic illness: an innovative approach to the collection of self-report data from children under 11

The objective of this study was to explore young children’s views on the impact of chronic illness on their life in order to inform future development of a patient-based self-report health outcome measure. We describe an approach to facilitating self-report views from young children with chronic illness. A board game was designed in order to obtain qualitative data from 39 children with a range of chronic illness conditions and 38 healthy controls ranging in age from 3 to 11 years. The format was effective in engaging young children in a self-report process of determining satisfaction with life and identified nine domains. The board game enabled children aged 5–11 years with chronic illness to describe the effects of living with illness on home, family, friends, school and life in general. It generated direct, non-interpreted material from children who, because of their age, may have been considered unable or limited their ability to discuss and describe how they feel. Obtaining this information for children aged 4 and under continues to be a challenge

Facilitating self-regulation in higher education through self-report

For the purpose of examining a tool to enable students in higher education to systematically reflect on their own self-regulation, a modified version of the Martinez-Pons Scale of Self-Regulation was used in a cohort study of 75 first-year undergraduate students in a Scottish University. Statistical analyses of the data revealed that, consequent to the intervention, participants reported greater use of self-regulatory behaviour. The reported change is explored through the lenses of expertise, pedagogy and personal epistemology. While this study cannot explain the detail of this reported change, its purpose was nevertheless met insofar as a structured self-recording instrument, to focus and inform students on the nature and effectiveness of their current learning behaviour, could be a useful and readily-available pedagogic tool for higher education tutors who wish some support in their practice

Determining Teachers’ TPACK through observations and self-report data

This study reports an arrangement directed at the development of 12 pre-service teachers’ TPACK, by guiding them in developing, practicing and teaching lessons that integrate technology for the first time. Interview, observation, and survey data were collected throughout the study. Results from the study confirmed the contention of Koehler and Mishra (2008) that teachers’ TPACK can be expressed in different ways for different students and in different contextual conditions. Analysis of lesson plan documents showed a well presented theoretical development of the teachers’ TPACK. This seemed to have aligned with their self-reported beliefs which reported slightly higher competencies of TPACK. Observation data however, indicated that teachers had acquired technology integration skills but demonstrated relatively low competencies in blending the components of TPACK. The study leaves no doubts that these teachers’ stated pedagogical beliefs did not align with their instructional practice