scholarly journals Normative Data for Derived Measures and Discrepancy Scores for the Uniform Data Set 3.0 Neuropsychological Battery

2019 ◽  
Vol 35 (1) ◽  
pp. 75-89 ◽  
Author(s):  
Paulina V Devora ◽  
Samantha Beevers ◽  
Andrew M Kiselica ◽  
Jared F Benge
Keyword(s):  
Normative Data ◽  
Lewy Bodies ◽  
Data Repository ◽  
Neuropsychological Battery ◽  
Cross Sectional ◽  
Data Set ◽  
Validity Data ◽  
Retention Score ◽  
Discrepancy Scores ◽  
Error Index

Abstract Objective The Uniform Data Set 3.0 (UDS 3.0) neuropsychological battery is a recently published battery intended for clinical research with older adult populations. While normative data for the core measures has been published, several additional discrepancy and derived scores can also be calculated. We present normative data for Trail Making Test (TMT) A & B discrepancy and ratio scores, semantic and phonemic fluency discrepancy scores, Craft Story percent retention score, Benson Figure percent retention score, difference between verbal and visual percent retention, and an error index. Method Cross-Sectional data from 1803 English speaking, cognitively normal control participants were obtained from the NACC central data repository. Results Descriptive information for derived indices is presented. Demographic variables, most commonly age, demonstrated small but significant associations with the measures. Regression values were used to create a normative calculator, made available in a downloadable supplement. Statistically abnormal values (i.e., raw scores corresponding to the 5th, 10th, 90th, and 95th percentiles) were calculated to assist in practical application of normative findings to individual cases. Preliminary validity of the indices are demonstrated by a case study and group comparisons between a sample of individuals with Alzheimer's (N = 81) and Dementia with Lewy Bodies (DLB; N = 100). Conclusions Clinically useful normative data of such derived indices from the UDS 3.0 neuropsychological battery are presented to help researchers and clinicians interpret these scores, accounting for demographic factors. Preliminary validity data is presented as well along with limitations and future directions.

Suicide Ideation and Attempt in a Community Cohort of Urban Aboriginal Youth: A Cross-Sectional Study

Crisis ◽  
2013 ◽  
Vol 34 (4) ◽  
pp. 251-261 ◽  
Author(s):  
Joanne N. Luke ◽  
Ian P. Anderson ◽  
Graham J. Gee ◽  
Reg Thorpe ◽  
Kevin G. Rowley ◽  
...  
Keyword(s):  
Health Service ◽  
Indigenous People ◽  
Suicide Ideation ◽  
Aboriginal Health ◽  
Cross Sectional ◽  
Data Set ◽  
Indigenous Youth ◽  
Aboriginal Youth ◽  
Social Distress ◽  
Suicide Behavior

Background: There has been increasing attention over the last decade on the issue of indigenous youth suicide. A number of studies have documented the high prevalence of suicide behavior and mortality in Australia and internationally. However, no studies have focused on documenting the correlates of suicide behavior for indigenous youth in Australia. Aims: To examine the prevalence of suicide ideation and attempt and the associated factors for a community 1 The term ”community” refers specifically to Koori people affiliated with the Victorian Aboriginal Health Service. cohort of Koori 2 The term ”Koori” refers to indigenous people from the south-eastern region of Australia, including Melbourne. The term ”Aboriginal” has been used when referring to indigenous people from Australia. The term ”indigenous” has been used throughout this article when referring to the first people of a nation within an international context. (Aboriginal) youth. Method: Data were obtained from the Victorian Aboriginal Health Service (VAHS) Young People’s Project (YPP), a community initiated cross-sectional data set. In 1997/1998, self-reported data were collected for 172 Koori youth aged 12–26 years living in Melbourne, Australia. The data were analyzed to assess the prevalence of current suicide ideation and lifetime suicide attempt. Principal components analysis (PCA) was used to identify closely associated social, emotional, behavioral, and cultural variables at baseline and Cox regression modeling was then used to identify associations between PCA components and suicide ideation and attempt. Results: Ideation and attempt were reported at 23.3% and 24.4%, respectively. PCA yielded five components: (1) emotional distress, (2) social distress A, (3) social distress B, (4) cultural connection, (5) behavioral. All were positively and independently associated with suicide ideation and attempt, while cultural connection showed a negative association. Conclusions: Suicide ideation and attempt were common in this cross-section of indigenous youth with an unfavorable profile for the emotional, social, cultural, and behavioral factors.

Financial distress determinants among SMEs: empirical evidence from Sweden

2020 ◽  
Vol 47 (3) ◽  
pp. 547-560 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Binary Logistic Regression ◽  
Data Availability ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe purpose of this study is to empirically investigate determinants of financial distress among small and medium-sized enterprises (SMEs) during the global financial crisis and post-crisis periods.Design/methodology/approachSeveral statistical methods, including multiple binary logistic regression, were used to analyse a longitudinal cross-sectional panel data set of 3,865 Swedish SMEs operating in five industries over the 2008–2015 period.FindingsThe results suggest that financial distress is influenced by macroeconomic conditions (i.e. the global financial crisis) and, in particular, by various firm-specific characteristics (i.e. performance, financial leverage and financial distress in previous year). However, firm size and industry affiliation have no significant relationship with financial distress.Research limitationsDue to data availability, this study is limited to a sample of Swedish SMEs in five industries covering eight years. Further research could examine the generalizability of these findings by investigating other firms operating in other industries and other countries.Originality/valueThis study is the first to examine determinants of financial distress among SMEs operating in Sweden using data from a large-scale longitudinal cross-sectional database.

scholarly journals Machine Learning in Futures Markets

2021 ◽  
Vol 14 (3) ◽  
pp. 119
Author(s):  
Fabian Waldow ◽  
Matthias Schnaubelt ◽  
Christopher Krauss ◽  
Thomas Günter Fischer
Keyword(s):  
Machine Learning ◽  
Futures Markets ◽  
Learning Models ◽  
Cross Sectional ◽  
Data Set ◽  
Statistical Arbitrage ◽  
Out Of Sample ◽  
Sample Testing ◽  
Arbitrage Strategy ◽  
Machine Learning Models

In this paper, we demonstrate how a well-established machine learning-based statistical arbitrage strategy can be successfully transferred from equity to futures markets. First, we preprocess futures time series comprised of front months to render them suitable for our returns-based trading framework and compile a data set comprised of 60 futures covering nearly 10 trading years. Next, we train several machine learning models to predict whether the h-day-ahead return of each future out- or underperforms the corresponding cross-sectional median return. Finally, we enter long/short positions for the top/flop-k futures for a duration of h days and assess the financial performance of the resulting portfolio in an out-of-sample testing period. Thereby, we find the machine learning models to yield statistically significant out-of-sample break-even transaction costs of 6.3 bp—a clear challenge to the semi-strong form of market efficiency. Finally, we discuss sources of profitability and the robustness of our findings.

scholarly journals Symptoms of acute transfusion reactions at a general referral hospital in Kinshasa, Democratic Republic of Congo: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e045081
Author(s):  
Patou Masika Musumari ◽  
Samclide Mutindu Mbikayi ◽  
Kriengkrai Srithanaviboonchai ◽  
Teeranee Techasrivichien ◽  
Arunrat Tangmunkongvorakul ◽  
...  
Keyword(s):  
Blood Transfusion ◽  
Respiratory Distress ◽  
Democratic Republic ◽  
Democratic Republic Of Congo ◽  
Referral Hospital ◽  
Sub Saharan Africa ◽  
Cross Sectional ◽  
Data Set ◽  
Republic Of Congo ◽  
Transfusion Reactions

ObjectivesBlood transfusion is a life-saving procedure and is also associated with a range of risks including the occurrence of symptoms of acute transfusion reactions (ATRs). Very few studies in sub-Saharan Africa have reported on ATRs. The present study addresses this gap in the literature by documenting the prevalence of and factors associated with ATRs in the Democratic Republic of Congo (DRC).DesignThis is a cross-sectional descriptive and analytical study using blood bank data from a general referral hospital.SettingCentre Hospitalier Mère-Enfant (CHME) Monkole, a general referral hospital in Kinshasa, DRC.ParticipantsGeneral population who have received blood transfusion in CHME Monkole between 2014 and 2019.ResultsThe data set included a total of 7166 patients; 3153 (44%) men and 4013 (56%) women. The overall prevalence of symptoms of ATRs was 2.6%; the lowest prevalence was in 2017 (2.34%) and highest in 2018 (2.95%) and 2019 (2.94%). The documented symptoms included 74 (39.6%) cases of dyspnoea/respiratory distress, 60 (32.1%) cases of fever, 36 (19.2%) cases of pruritus/urticaria and 17 (9.1%) cases of vomiting. None of the studied factors was associated with symptoms of ATRs.ConclusionSymptoms of ATRs were not uncommon in the studied population. Dyspnoea and respiratory distress, fever and pruritus/urticaria were the most common symptoms of ATRs. This study highlights the need for a clinical and biological surveillance to detect, prevent and manage ATRs in the context of the DRC.

Development of a Pitch Discrimination Screening Test for Preschool Children

2016 ◽  
Vol 27 (04) ◽  
pp. 281-292
Author(s):  
Maria Kulick Abramson ◽  
Peter J. Lloyd
Keyword(s):  
Preschool Children ◽  
Specific Language Impairment ◽  
Normative Data ◽  
Frequency Discrimination ◽  
Auditory Discrimination ◽  
Auditory Memory ◽  
Pitch Discrimination ◽  
Choice Response ◽  
Typically Developing ◽  
Cross Sectional

Background: There is a critical need for tests of auditory discrimination for young children as this skill plays a fundamental role in the development of speaking, prereading, reading, language, and more complex auditory processes. Frequency discrimination is important with regard to basic sensory processing affecting phonological processing, dyslexia, measurements of intelligence, auditory memory, Asperger syndrome, and specific language impairment. Purpose: This study was performed to determine the clinical feasibility of the Pitch Discrimination Test (PDT) to screen the preschool child’s ability to discriminate some of the acoustic demands of speech perception, primarily pitch discrimination, without linguistic content. The PDT used brief speech frequency tones to gather normative data from preschool children aged 3 to 5 yrs. Research Design: A cross-sectional study was used to gather data regarding the pitch discrimination abilities of a sample of typically developing preschool children, between 3 and 5 yrs of age. The PDT consists of ten trials using two pure tones of 100-msec duration each, and was administered in an AA or AB forced-choice response format. Study Sample: Data from 90 typically developing preschool children between the ages of 3 and 5 yrs were used to provide normative data. Data Analysis: Nonparametric Mann–Whitney U-testing was used to examine the effects of age as a continuous variable on pitch discrimination. The Kruskal–Wallis test was used to determine the significance of age on performance on the PDT. Spearman rank was used to determine the correlation of age and performance on the PDT. Results: Pitch discrimination of brief tones improved significantly from age 3 yrs to age 4 yrs, as well as from age 3 yrs to the age 4- and 5-yrs group. Results indicated that between ages 3 and 4 yrs, children’s auditory discrimination of pitch improved on the PDT. The data showed that children can be screened for auditory discrimination of pitch beginning with age 4 yrs. Conclusions: The PDT proved to be a time efficient, feasible tool for a simple form of frequency discrimination screening in the preschool population before the age where other diagnostic tests of auditory processing disorders can be used.

scholarly journals A risk index for COVID-19 severity is associated with COVID-19 mortality in New York City

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wil Lieberman-Cribbin ◽  
Naomi Alpert ◽  
Raja Flores ◽  
Emanuela Taioli
Keyword(s):  
Risk Factors ◽  
New York ◽  
New York City ◽  
York City ◽  
Underserved Populations ◽  
Risk Index ◽  
Data Repository ◽  
Severe Illness ◽  
Mortality Data ◽  
Cross Sectional

Abstract Background New York City (NYC) was the epicenter of the COVID-19 pandemic, and is home to underserved populations with higher prevalence of chronic conditions that put them in danger of more serious infection. Little is known about how the presence of chronic risk factors correlates with mortality at the population level. Here we determine the relationship between these factors and COVD-19 mortality in NYC. Methods A cross-sectional study of mortality data obtained from the NYC Coronavirus data repository (03/02/2020–07/06/2020) and the prevalence of neighborhood-level risk factors for COVID-19 severity was performed. A risk index was created based on the CDC criteria for risk of severe illness and complications from COVID-19, and stepwise linear regression was implemented to predict the COVID-19 mortality rate across NYC zip code tabulation areas (ZCTAs) utilizing the risk index, median age, socioeconomic status index, and the racial and Hispanic composition at the ZCTA-level as predictors. Results The COVID-19 death rate per 100,000 persons significantly decreased with the increasing proportion of white residents (βadj = − 0.91, SE = 0.31, p = 0.0037), while the increasing proportion of Hispanic residents (βadj = 0.90, SE = 0.38, p = 0.0200), median age (βadj = 3.45, SE = 1.74, p = 0.0489), and COVID-19 severity risk index (βadj = 5.84, SE = 0.82, p <  0.001) were statistically significantly positively associated with death rates. Conclusions Disparities in COVID-19 mortality exist across NYC and these vulnerable areas require increased attention, including repeated and widespread testing, to minimize the threat of serious illness and mortality.

scholarly journals PROMIS Scales for Assessment of Persistent Post-COVID Symptoms: A Cross Sectional Study

2021 ◽  
Vol 12 ◽  
pp. 215013272110304
Author(s):  
Ravindra Ganesh ◽  
Aditya K. Ghosh ◽  
Mark A. Nyman ◽  
Ivana T. Croghan ◽  
Stephanie L. Grach ◽  
...  
Keyword(s):  
Health Status ◽  
Social Roles ◽  
Disease Process ◽  
Cross Sectional Study ◽  
Large Sample Size ◽  
Sectional Study ◽  
Cross Sectional ◽  
Data Set ◽  
Patient Reported ◽  
The Impact

Objective Persistent post-COVID symptoms are estimated to occur in up to 10% of patients who have had COVID-19. These lingering symptoms may persist for weeks to months after resolution of the acute illness. This study aimed to add insight into our understanding of certain post-acute conditions and clinical findings. The primary purpose was to determine the persistent post COVID impairments prevalence and characteristics by collecting post COVID illness data utilizing Patient-Reported Outcomes Measurement Information System (PROMIS®). The resulting measures were used to assess surveyed patients physical, mental, and social health status. Methods A cross-sectional study and 6-months Mayo Clinic COVID recovered registry data were used to evaluate continuing symptoms severity among the 817 positive tested patients surveyed between March and September 2020. The resulting PROMIS® data set was used to analyze patients post 30 days health status. The e-mailed questionnaires focused on fatigue, sleep, ability to participate in social roles, physical function, and pain. Results The large sample size (n = 817) represented post hospitalized and other managed outpatients. Persistent post COVID impairments prevalence and characteristics were determined to be demographically young (44 years), white (87%), and female (61%). Dysfunction as measured by the PROMIS® scales in patients recovered from acute COVID-19 was reported as significant in the following domains: ability to participate in social roles (43.2%), pain (17.8%), and fatigue (16.2%). Conclusion Patient response on the PROMIS® scales was similar to that seen in multiple other studies which used patient reported symptoms. As a result of this experience, we recommend utilizing standardized scales such as the PROMIS® to obtain comparable data across the patients’ clinical course and define the disease trajectory. This would further allow for effective comparison of data across studies to better define the disease process, risk factors, and assess the impact of future treatments.

Prodromal Dementia With Lewy Bodies: Evolution of Symptoms and Predictors of Dementia Onset

2021 ◽  
pp. 089198872110235
Author(s):  
Kathryn A. Wyman-Chick ◽  
Lauren R. O’Keefe ◽  
Daniel Weintraub ◽  
Melissa J. Armstrong ◽  
Michael Rosenbloom ◽  
...  
Keyword(s):  
Clinical Features ◽  
Dementia With Lewy Bodies ◽  
Clinical Symptoms ◽  
Neuropsychiatric Symptoms ◽  
Lewy Bodies ◽  
Rem Sleep Behavior Disorder ◽  
Data Set ◽  
Wide Range ◽  
Prodromal Dementia ◽  
Dementia Onset

Background: Research criteria for prodromal dementia with Lewy bodies (DLB) were published in 2020, but little is known regarding prodromal DLB in clinical settings. Methods: We identified non-demented participants without neurodegenerative disease from the National Alzheimer’s Coordinating Center Uniform Data Set who converted to DLB at a subsequent visit. Prevalence of neuropsychiatric and motor symptoms were examined up to 5 years prior to DLB diagnosis. Results: The sample included 116 participants clinically diagnosed with DLB and 348 age and sex-matched (1:3) Healthy Controls. Motor slowing was present in approximately 70% of participants 3 years prior to DLB diagnosis. In the prodromal phase, 50% of DLB participants demonstrated gait disorder, 70% had rigidity, 20% endorsed visual hallucinations, and over 50% of participants endorsed REM sleep behavior disorder. Apathy, depression, and anxiety were common prodromal neuropsychiatric symptoms. The presence of 1+ core clinical features of DLB in combination with apathy, depression, or anxiety resulted in the greatest AUC (0.815; 95% CI: 0.767, 0.865) for distinguishing HC from prodromal DLB 1 year prior to diagnosis. The presence of 2+ core clinical features was also accurate in differentiating between groups (AUC = 0.806; 95% CI: 0.756, 0.855). Conclusion: A wide range of motor, neuropsychiatric and other core clinical symptoms are common in prodromal DLB. A combination of core clinical features, neuropsychiatric symptoms and cognitive impairment can accurately differentiate DLB from normal aging prior to dementia onset.

scholarly journals Change in occupational tasks and its implications: evidence from a task panel from 1973 to 2011 for Western Germany

2021 ◽  
Author(s):  
Tobias Maier
Keyword(s):  
Human Capital ◽  
Institutional Economics ◽  
Labor Demand ◽  
Sociological Research ◽  
Cross Sectional ◽  
Data Set ◽  
Capital Theory ◽  
Task Change ◽  
Western Germany ◽  
Specific Human Capital

AbstractThe change of tasks in occupations is of interest to economic and sociological research from three perspectives. The task-based technological change approach describes tasks as the link between capital input and labor demand. In human capital theory, tasks are used to distinguish between general and specific human capital. Moreover, in institutional economics or sociology, it is argued that the specificity of occupations influences the marketability of the corresponding skills and tasks. However, data sources that illustrate task change within occupations are rare. The objective of this paper is therefore to introduce a task panel, which is created based on 16 cross-sectional surveys from between 1973 and 2011 of the German microcensus (Labor-Force-Survey), as an additional source to monitor task change. I present and discuss the harmonization method for eleven main activities that are exercised by the incumbents of the occupation within 176 occupational groups. To demonstrate the research potential of this novel data source, I develop an alternative theoretical view on the task-technology framework and classify the harmonized tasks according to their relationship to technological inventions in the third industrial (micro-electronic) revolution (technologically replaceable, technology-accompanying, technology-complementary and technologically neutral). Matching the task panel to an already existing Occupational Panel (OccPan) for Western Germany from 1976 to 2010, I can use fixed-effect regressions to show that changes of tasks within occupations correspond with theoretical expectations regarding the median wage growth of an occupation. The task panel can be matched to any data set containing a German classification of occupations from 1975, 1988 or 1992 to investigate further effects of task change on individual labor market success.

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