Correlates of completion rate and question comprehension for a multi-ethnicity online study of ovulation and menstruation health

BACKGROUND: Polycystic ovary syndrome (PCOS), a diagnosis of exclusion, is considered the most common endocrinopathy in females of reproductive age. Current cohorts of individuals with PCOS exist but are limited, specifically in racial/ethnic diversity, due to the complexity of multiple choice survey questions and difficulty to obtain data. METHODS: After examining existing cohorts and their questionnaires, an online survey was designed specifically to assess PCOS characteristics in a diverse population. The survey was field tested for cognitive understanding and usability in a diverse population, with respect to race/ethnicity and education. After cognitive testing, the survey was launched online and participants were recruited to complete the survey. Survey completion rates by level of education, race/ethnicity, and birthplace were established by determining the proportion of participants in each subgroup to complete the entire survey. We also looked at the average percentage of the survey participants in each subgroup completed before discontinuing the survey. Univariate regression analyses were performed to evaluate these results. Question comprehension was determined by evaluating all survey questions by length and complexity. The survey question asking participants to report their typical menstrual cycle length (MCL) was selected to assess participants’ question comprehension. Responses that fell outside of the normal range for MCL were examined and those that may have been inaccurate were isolated. Level of education and birthplace reported by participants who may have responded to the MCL question inaccurately were noted and assessed collectively. RESULTS: Two-hundred and forty-eight participants, aged 18-53 years, began the survey between August 9, 2017 and October 23, 2017. Of these participants, 71.7% identified as White; 11.7% as Hispanic, Latina, or of Spanish Origin; 12.6% as Black or African American; 13.2% as other races/ethnicities; and 9.2% as more than one race/ethnicity. Of the participants with some high school education, a high school diploma, or a GED, 74% completed the entire survey; of those with some college education or a 2-year degree, 81% completed the entire survey; and of those with a 4-year college degree or more, 90% completed the entire survey. On average, participants with a high school education completed 86% of the survey before discontinuing; those with some college education completed 91% of the survey before discontinuing; and those with a college degree or more completed 95% of the survey before discontinuing. Of the participants who identified as White, 92% completed the entire survey; of those who identified as Hispanic, Latina, or of Spanish Origin, 68% completed the entire survey; and of those who identified as Black or African American, 70% completed the entire survey, with statistical significance (p = 0.002). On average, participants who identified as White completed 96% of the survey before discontinuing; those who identified as Hispanic, Latina, or of Spanish Origin completed 82% of the survey before discontinuing; and those who identified as Black or African American completed 86% of the survey before discontinuing, with statistical significance (p = 0.002). Of the participants who were born in the United States, 92% completed the entire survey, and of the participants who were not born in the United States, 66% completed the entire survey, with statistical significance (p < 0.0001). On average, participants who were born in the United States completed 96% of the survey before discontinuing and participants who were not born in the United States completed 81% of the survey before discontinuing, with statistical significance (p < 0.0001). When asked to report their typical MCL, 66 participants (28.1%) responded with irregular answers and 20 (8.5%) may have responded inaccurately. Of these 20 participants, 18 (90%) completed at least some amount of college and 16 (80%) were born in the United States. DISCUSSION: This pilot study succeeds in establishing a cohort that is more racially/ethnically diverse than existing cohorts of individuals with PCOS. In order to gather more information on the ways in which PCOS manifests across different groups, future recruitment efforts ought to be more targeted towards individuals belonging to different racial/ethnic groups and socioeconomic statuses. Additionally, the baseline survey and future modules can be made more accessible to diverse groups through language translation. Furthermore, the addition of a menstrual cycle tracker component to the survey may increase the accuracy of information on participants’ menstrual cycle patterns

For the Public Good: Quality Preparation for Every Teacher

The goal is to ensure that teachers enter the profession ready for the demands of the 21st-century classroom. The first report from Bank Street College of Education's Sustainable Funding Project  looks at ways of reaching that goal through yearlong co-teaching experiences, commonly referred to as residencies, in classroom settings with experienced mentors.The report—"For the Public Good: Quality Preparation for Every Teacher"—also identifies public funding streams to support residency programs nationwide and outlines how teacher preparation providers and school districts can establish mutually beneficial partnerships to support high-quality teacher preparation

What matters to people and families affected by cerebral small vessel disease (SVD)?:A qualitative grounded theory investigation

BACKGROUND: Cerebral small vessel disease (SVD) is a common neurological disorder contributing to stroke, dementia, and disability. No treatment options exist although clinical trials are ongoing. We aimed to understand what matters to people and families affected by SVD to inform future research.METHODS: We thematically analysed unsolicited correspondences from members of the public addressed to members of the Edinburgh SVD Research Group on a variety of subjects related to SVD. We used inductive thematic codes, categorised under concerns, requests, emotions, and contributions, to form a grounded theory that categorised and ranked concerns raised.RESULTS: 101 correspondents expressed 346 concerns between August 2015 and February 2021, mostly via email. 60 correspondents (59.4 %) disclosed a SVD diagnosis, 39 (38.6 %) disclosed a previous stroke or TIA, and 40 (39.6 %) were family of people living with SVD. Primary concerns related to cognitive problems (number of correspondents (n)=43 (42.6 %)), lack of support or information from healthcare services ( n = 41 (40.6 %)), prognosis ( n = 37 (36.6 %)), sensory disturbances ( n = 27 (26.7 %)), functional problems ( n = 24, (23.8 %)), impact on daily life ( n = 24 (23.8 %)), and causes of SVD ( n = 19 (18.8 %)). 57 correspondents (56.4 %) expressed support for research, 43 (42.6 %) expressed an eagerness to understand SVD, 35 (34.7 %) expressed helplessness, and 19 (18.8 %) expressed frustration. CONCLUSIONS: Cognitive decline was the main concern for people and families living with SVD who corresponded with the Edinburgh SVD research group. These findings also indicate a need for more accessible services and better information about SVD for patients and families.</p

Grayscale-to-Color: Scalable Fabrication of Custom Multispectral Filter Arrays.

Snapshot multispectral image (MSI) sensors have been proposed as a key enabler for a plethora of multispectral imaging applications, from diagnostic medical imaging to remote sensing. With each application requiring a different set, and number, of spectral bands, the absence of a scalable, cost-effective manufacturing solution for custom multispectral filter arrays (MSFAs) has prevented widespread MSI adoption. Despite recent nanophotonic-based efforts, such as plasmonic or high-index metasurface arrays, large-area MSFA manufacturing still consists of many-layer dielectric (Fabry-Perot) stacks, requiring separate complex lithography steps for each spectral band and multiple material compositions for each. It is an expensive, cumbersome, and inflexible undertaking, but yields optimal optical performance. Here, we demonstrate a manufacturing process that enables cost-effective wafer-level fabrication of custom MSFAs in a single lithographic step, maintaining high efficiencies (∼75%) and narrow line widths (∼25 nm) across the visible to near-infrared. By merging grayscale (analog) lithography with metal-insulator-metal (MIM) Fabry-Perot cavities, whereby exposure dose controls cavity thickness, we demonstrate simplified fabrication of MSFAs up to N-wavelength bands. The concept is first proven using low-volume electron beam lithography, followed by the demonstration of large-volume UV mask-based photolithography with MSFAs produced at the wafer level. Our framework provides an attractive alternative to conventional MSFA manufacture and metasurface-based spectral filters by reducing both fabrication complexity and cost of these intricate optical devices, while increasing customizability

Dancing to the Partisan Beat: A First Analysis of Political Communication on TikTok

TikTok is a video-sharing social networking service, whose popularity is increasing rapidly. It was the world's second-most downloaded app in 2019. Although the platform is known for having users posting videos of themselves dancing, lip-syncing, or showcasing other talents, user-videos expressing political views have seen a recent spurt. This study aims to perform a primary evaluation of political communication on TikTok. We collect a set of US partisan Republican and Democratic videos to investigate how users communicated with each other about political issues. With the help of computer vision, natural language processing, and statistical tools, we illustrate that political communication on TikTok is much more interactive in comparison to other social media platforms, with users combining multiple information channels to spread their messages. We show that political communication takes place in the form of communication trees since users generate branches of responses to existing content. In terms of user demographics, we find that users belonging to both the US parties are young and behave similarly on the platform. However, Republican users generated more political content and their videos received more responses; on the other hand, Democratic users engaged significantly more in cross-partisan discussions.Comment: Accepted as a full paper at the 12th International ACM Web Science Conference (WebSci 2020). Please cite the WebSci version; Second version includes corrected typo

Muscle strength and gait speed rather than lean mass are better indicators for poor cognitive function in older men

We aimed to examine muscle strength, function and mass in relation to cognition in older men. This cross-sectional data-set included 292 men aged &ge;60 yr. Handgrip strength (kg) was measured by dynamometry, gait speed by 4-metre walk (m/s) and appendicular lean mass (kg) by dual-energy x-ray absorptiometry. Cognition was assessed across four domains: psychomotor function, attention, visual learning and working memory. Composite scores for overall cognition were calculated. Bivariate analyses indicated that handgrip strength and gait speed were positively associated with cognitive function. After accounting for confounders, positive associations between individual muscle (or physical) measures and cognitive performance were sustained for handgrip strength and psychomotor function, gait speed and psychomotor function, gait speed and attention, handgrip strength and overall cognition, and gait speed and overall cognition. In multivariable models, handgrip strength and gait speed independently predicted psychomotor function and overall cognition. No associations were detected between lean mass and cognition after adjusting for confounders. Thus, low muscle strength and slower gait speed, rather than low lean mass, were associated with poor cognition in older men

Cortical thickness across the lifespan: Data from 17,075healthy individuals aged 3–90 years

Delineating the association of age and cortical thickness in healthy individuals is criti-cal given the association of cortical thickness with cognition and behavior. Previousresearch has shown that robust estimates of the association between age and brainmorphometry require large-scale studies. In response, we used cross-sectional datafrom 17,075 individuals aged 3–90 years from the Enhancing Neuroimaging Geneticsthrough Meta-Analysis (ENIGMA) Consortium to infer age-related changes in corticalthickness. We used fractional polynomial (FP) regression to quantify the associationbetween age and cortical thickness, and we computed normalized growth centilesusing the parametric Lambda, Mu, and Sigma method. Interindividual variability wasestimated using meta-analysis and one-way analysis of variance. For most regions,their highest cortical thickness value was observed in childhood. Age and corticalthickness showed a negative association; the slope was steeper up to the thirddecade of life and more gradual thereafter; notable exceptions to this general patternwere entorhinal, temporopolar, and anterior cingulate cortices. Interindividual vari-ability was largest in temporal and frontal regions across the lifespan. Age and its FPcombinations explained up to 59% variance in cortical thickness. These results mayform the basis of further investigation on normative deviation in cortical thicknessand its significance for behavioral and cognitive outcomes.Instituto de Salud Carlos III PI02049

Gender Differences in Children’s Prior Play Experiences as a Predictor of Success in Engineering Tasks

Studies have shown that female student’s science and mathematical achievements are consistent with those of their male peers. Nevertheless, women are dramatically underrepresented in STEM professions, with women making up just 12 percent of working engineers. Since it has been found that early exposure to STEM concepts and practice leads to later success in the field, it is important that we understand the differences in engineering skills and levels of interest in young children. This study examines gender differences between young children in multiple measured variables of building tasks at an engineering exhibit in a museum. The sample consists of 68 families, child M age = (5.5 years). In this study researchers asked children to fix a wobbly skyscraper or bridge, and also asked parents to complete a questionnaire regarding their child’s play interests. Children’s attempts at fixing the structures were coded from videotape records at the museum. It is hypothesized that parents will report male children having greater prior experience and interest with engineering games than females, which may predict greater success in the building tasks. We will report results on potential gender differences in children’s prior play experiences and interest as a predictor of success in these building tasks.https://orb.binghamton.edu/research_days_posters_2021/1100/thumbnail.jp

An Exploratory Model of the Relationships Between Cancer-Related Trauma Outcomes on Quality of Life in Non-Hodgkin Lymphoma Survivors

Given that more than one-third of some cohorts of cancer survivors exhibit post-traumatic stress disorder (PTSD) symptomatology, this study examines how trauma outcomes might relate to quality of life (QOL). Eight hundred thirty survivors of adult lymphoma were assessed for PTSD, post-traumatic growth (PTG) and QOL. Structural equation modeling revealed that QOL was best explained by the model in which stressors (e.g., co-morbidities) were mediated by PTSD and PTG. Trauma outcomes mediated the relationship between specific stressors and QOL. These findings support using PTSD and PTG as a diagnostic framework in understanding symptomatology in survivors