scholarly journals Age and Sex Invariance of the Woodcock-Johnson IV Tests of Cognitive Abilities: Evidence from Psychometric Network Modeling

2021 ◽  
Vol 9 (3) ◽  
pp. 35
Author(s):  
Okan Bulut ◽  
Damien C. Cormier ◽  
Alexandra M. Aquilina ◽  
Hatice C. Bulut
Keyword(s):  
Network Structure ◽  
Cognitive Abilities ◽  
Network Modeling ◽  
Age Groups ◽  
The United States ◽  
Data Driven ◽  
Chc Theory ◽  
Alternative Methodology ◽  
Age And Sex ◽  
Woodcock Johnson

The Woodcock-Johnson IV Tests of Cognitive Abilities (WJ IV COG) is a comprehensive assessment battery designed to assess broad and narrow cognitive abilities, as defined by the Cattell-Horn-Carroll (CHC) theory of intelligence. Previous studies examined the invariance of the WJ assessments across sex and age groups using factor analytic methods. Psychometric network modeling is an alternative methodology that can address both direct and indirect relationships among the observed variables. In this study, we employed psychometric network modeling to examine the invariance of the WJ IV COG across sex and age groups. Using a normative sample (n = 4212 participants) representative of the United States population, we tested the extent to which the factorial structure of the WJ IV COG aligned with CHC theory for the school-aged sample. Next, we used psychometric network modeling as a data-driven method to investigate whether the network structure of the WJ IV COG remains similar across different sex and age (age 6 to 19, inclusively) groups. Our results showed that the WJ IV COG maintained the same network structure across all age and sex groups, although the network structure at younger ages indicated weaker relationships among some subtests. Overall, the results provide construct validity evidence for the WJ IV COG, based on both theoretical and data-driven methods.

scholarly journals Trends in incidence and epidemiologic characteristics of cerebral venous thrombosis in the United States

Neurology ◽  
2020 ◽  
Vol 95 (16) ◽  
pp. e2200-e2213 ◽  
Author(s):  
Fadar Oliver Otite ◽  
Smit Patel ◽  
Richa Sharma ◽  
Pushti Khandwala ◽  
Devashish Desai ◽  
...  
Keyword(s):  
United States ◽  
New York ◽  
Venous Thrombosis ◽  
Cerebral Venous Thrombosis ◽  
Census Data ◽  
Age Groups ◽  
The United States ◽  
Joinpoint Regression ◽  
Over Time ◽  
Age And Sex

ObjectiveTo test the hypothesis that race-, age-, and sex-specific incidence of cerebral venous thrombosis (CVT) has increased in the United States over the last decade.MethodsIn this retrospective cohort study, validated ICD codes were used to identify all new cases of CVT (n = 5,567) in the State Inpatients Databases (SIDs) of New York and Florida (2006–2016). A new CVT case was defined as first hospitalization for CVT in the SID without prior CVT hospitalization. CVT counts were combined with annual Census data to compute incidence. Joinpoint regression was used to evaluate trends in incidence over time.ResultsFrom 2006 to 2016, annual age- and sex-standardized incidence of CVT in cases per 1 million population ranged from 13.9 to 20.2, but incidence varied significantly by sex (women 20.3–26.9, men 6.8–16.8) and by age/sex (women 18–44 years of age 24.0–32.6, men 18–44 years of age 5.3–12.8). Incidence also differed by race (Blacks: 18.6–27.2; Whites: 14.3–18.5; Asians: 5.1–13.8). On joinpoint regression, incidence increased across 2006 to 2016, but most of this increase was driven by an increase in all age groups of men (combined annualized percentage change [APC] 9.2%, p < 0.001), women 45 to 64 years of age (APC 7.8%, p < 0.001), and women ≥65 years of age (APC 7.4%, p < 0.001). Incidence in women 18 to 44 years of age remained unchanged over time.ConclusionCVT incidence is disproportionately higher in Blacks compared to other races. New CVT hospitalizations increased significantly over the last decade mainly in men and older women. Further studies are needed to determine whether this increase represents a true increase from changing risk factors or an artifactual increase from improved detection.

Abstract WMP94: Temporal Trends in Racial, Age, and Sex-Specific Utilization of Decompressive Hemicraniectomy Among Acute Ischemic Stroke Patients in the United States

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Sai P Polineni ◽  
Fadar O Otite ◽  
Seemant Chaturvedi
Keyword(s):  
United States ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Temporal Trends ◽  
Age Groups ◽  
The United States ◽  
Decompressive Hemicraniectomy ◽  
Study Results ◽  
Over Time ◽  
Age And Sex

Background: The aim of this study is to evaluate current trends in racial, age, and sex-specific utilization of decompressive hemicraniectomy (HC) in acute ischemic stroke (AIS) patients in the United States over the last decade. Methods: All adult patients with a diagnosis of AIS were identified from the 2004-2015 Nationwide Inpatient Sample (weighted N=4,792,428) using International Classification of Diseases Ninth revision (ICD-9) codes. Proportion of patients undergoing HC in various age, race, and sex groups were ascertained using ICD-9 procedural codes. Temporal trends were mapped by year in order to track changes in utilization over time. Analysis of utilization disparities and trends within age, sex, and race subgroups was conducted via multivariate logistic regression. Results: Of all eligible AIS patients from 2004-2015, 0.25% underwent HC (.08 in 2004 to .46 in 2015). Increased utilization over time was seen in both men (.13 to .57) and women (.08 to .54), with women showing comparable odds of utilization to men [OR: 0.95 (95% CI: .87-1.04, p=0.27)]. Similarly, increased utilization trends were seen in all age groups (Figure 1) with the highest rates in the 18-39 subgroup (1.41%). Compared to trends in this younger subgroup (.43 to 2.12), patients aged 60-79 experienced a similar overall increase but at lower utilization rates (.06 to .37). Compared to white patients in multivariate models, blacks did not show significant differences in odds of HC [1.09 (.96-1.24, p=0.20)], while patients from Hispanic [1.25 (1.03-1.51, p=0.02)] and other [1.26 (1.04-1.52, p=0.02)] race-ethnic groups showed increased odds. Conclusions: From 2004-2015, hemicraniectomy rates have seen substantial increases in all age, sex, and race groups. The increasing rates of hemicraniectomies among those over age 60 suggest that there has been at least partial acceptance of DESTINY 2 study results.

Restraint Use and Age and Sex Characteristics of Persons Involved in Fatal Motor Vehicle Crashes

2003 ◽  
Vol 1830 (1) ◽  
pp. 10-17 ◽  
Author(s):  
Brian Ho-Yin Lee ◽  
Joseph L. Schofer
Keyword(s):  
Motor Vehicle ◽  
Age Groups ◽  
The United States ◽  
Motor Vehicle Crash ◽  
Sex Characteristics ◽  
Young Males ◽  
Vehicle Crash ◽  
Restraint Use ◽  
Fatal Crashes ◽  
Age And Sex

The lap and shoulder belt combination can reduce the risk of fatal motor vehicle crash injuries to front-seat occupants by 45% and the risk of moderate-to-critical injuries by 50%. The significant life- and cost-saving potentials of these restraining devices, installed in virtually every vehicle in the United States, are well recognized, but the benefits come only from their actual use. Identified are two demographic characteristics of unrestrained persons involved in fatal crashes, age and sex, to provide a basis for targeting educational and promotional efforts to encourage restraint use among the most vulnerable groups. Analyses are based on 1996 to 2000 crash data from the Fatality Analysis Reporting System, compared with exposure data from the 1995 Nationwide Personal Transportation Survey. This study found that the risk of sustaining fatal injuries in a vehicle crash is reduced by 54% when occupant restraints are used. A much higher proportion of young males in the 16 to 19 and 20 to 24 age groups involved in fatal crashes do not use restraints, about 1.72 and 1.69 times greater, respectively, than those who do use restraints. While females in these age groups are also overrepre-sented, the extent of this excess is less than that of males. This underscores the need to find ways to educate young people, especially young males, about the benefits of restraint use.

Abstract WMP50: Age-Specific Female-Male Disparities in Endovascular Thrombectomy Use for Acute Ischemic Stroke in the United States

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Hamidreza Saber ◽  
Amytis Towfighi ◽  
David S Liebeskind ◽  
Jeffrey L Saver
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Age Groups ◽  
Reperfusion Therapy ◽  
The United States ◽  
National Inpatient Sample ◽  
Endovascular Thrombectomy ◽  
Age Related ◽  
The Us ◽  
Age And Sex

Introduction: Studies have suggested sex-related and age-related variations in frequency of reperfusion therapy, but have been limited by constrained geographic scope, data from before the modern thrombectomy era, and incomplete exploration of sex-related differences in discrete age ranges. We therefore analyzed sex-, age-, and sex-age interaction in the frequency of endovascular thrombectomy (EVT) for acute ischemic stroke in the US National Inpatient Sample. Methods: In the National Inpatient Sample , we identified all adult ischemic stroke EVT hospitalizations from 2010-2016, using ICD-9-CM and ICD-10-CM codes. Patient age was categorized as: <50y, 50-59y, 60-69y, 70-79y and ≥80ys. Rates of use of EVT were assessed standardized to the 2010 US Census population. Results: Among 50,573 EVT hospitalizations, 50.1% were female. The number of EVTs increased from 4091 in 2010 to 12,875 in 2016. Over the entire 7y time period, a sex-age interaction was noted: 49% in <50y; 37% in 50-59y; 35% in 60-69y; 53% in 70-79y; and 66% in ≥80y. This sex-age interaction was present as well for EVT rates per 100,000 individuals in the population, with the total ratio of female to male rate of EVT per 100,000: 0.93 for in <50y; 0.52 in 50-59y; 0.58 in 60-69y; 0.91 in 70-79y; and 1.1 in ≥80y. EVT utilization rates increased substantially over time in both men and women in all age groups. However, the ratio of women to men per 100,000 receiving EVT changed for only one age range, decreasing among <50y from 0.98 in 2010 to 0.79 in 2016 (P<0.05). Conclusion: While half of all endovascular thrombectomies in the US are performed in women, there are major age-related sex-specific variations in EVT rates, with rates of EVT much lower among women than men in 50-70 age group. Determinants of these age-specific female-male disparities in EVT treatment merit detailed investigation. Figure: Age- and sex-specific female to male thrombectomy utilization rates.

scholarly journals Age- and Sex-Specific Standard Scores for the Reading the Mind in the Eyes Test

2021 ◽  
Vol 12 ◽  
Author(s):  
Jana Kynast ◽  
Maryna Polyakova ◽  
Eva Maria Quinque ◽  
Andreas Hinz ◽  
Arno Villringer ◽  
...  
Keyword(s):  
Cognitive Abilities ◽  
Age Groups ◽  
Clinical Diagnostics ◽  
Community Dwelling ◽  
Population Characteristics ◽  
Standardized Assessment ◽  
German Population ◽  
Men And Women ◽  
The Mind ◽  
Age And Sex

The reliable, valid and economic assessment of social cognition is more relevant than ever in the field of clinical psychology. Theory of Mind is one of the most important socio-cognitive abilities but standardized assessment instruments for adults are rare. The Reading the Mind in the Eyes Test (RMET) is well-established and captures the ability to identify mental states from gaze. Here, we computed standard scores for the German version of the RMET derived from a large, community-dwelling sample of healthy adults (20–79 years). The standardization sample contains 966 healthy adult individuals of the population-based Leipzig Research Center for Civilization Diseases (LIFE) study. Before standardization, weighting factors were applied to match the current sample with distribution characteristics of the German population regarding age, sex, and education. RMET scores were translated into percentage ranks for men and women of five age groups (20–29, 30–39, 40–49, 50–59, 60+ years). Age-specific percentage ranks are provided for men and women. Independent of age, men present a larger variance in test scores compared to women. Within the specific age groups, women score higher and their scoring range is less variable. With increasing age, the scoring variance increases in both men and women. This is the first study providing age- and sex-specific RMET standard scores. Data was weighted to match German population characteristics, enabling the application of standard scores across German-speaking areas. Our results contribute to the standardized assessment of socio-cognitive abilities in clinical diagnostics.

Inequalities and Impact of Socioeconomic-Cultural Factors in Suicide Rates Across Italy

Crisis ◽  
2011 ◽  
Vol 32 (4) ◽  
pp. 178-185 ◽  
Author(s):  
Maurizio Pompili ◽  
Marco Innamorati ◽  
Monica Vichi ◽  
Maria Masocco ◽  
Nicola Vanacore ◽  
...  
Keyword(s):  
Suicide Rate ◽  
Age Groups ◽  
Premature Death ◽  
Mortality Rates ◽  
Mortality Data ◽  
Italian Population ◽  
Comprehensive Overview ◽  
Suicide Rates ◽  
Younger Age ◽  
Age And Sex

Background: Suicide is a major cause of premature death in Italy and occurs at different rates in the various regions. Aims: The aim of the present study was to provide a comprehensive overview of suicide in the Italian population aged 15 years and older for the years 1980–2006. Methods: Mortality data were extracted from the Italian Mortality Database. Results: Mortality rates for suicide in Italy reached a peak in 1985 and declined thereafter. The different patterns observed by age and sex indicated that the decrease in the suicide rate in Italy was initially the result of declining rates in those aged 45+ while, from 1997 on, the decrease was attributable principally to a reduction in suicide rates among the younger age groups. It was found that socioeconomic factors underlined major differences in the suicide rate across regions. Conclusions: The present study confirmed that suicide is a multifaceted phenomenon that may be determined by an array of factors. Suicide prevention should, therefore, be targeted to identifiable high-risk sociocultural groups in each country.

Big Data Driven Clinical Informatics & Surveillance (BDD_CIS) – A Multimodal Database Focused Clinical, Community, and Multi-Omics Surveillance Plan for COVID-19: A study Protocol (Preprint)

2020 ◽  
Author(s):  
Bankole Olatosi ◽  
Jiajia Zhang ◽  
Sharon Weissman ◽  
Zhenlong Li ◽  
Jianjun Hu ◽  
...  
Keyword(s):  
Big Data ◽  
South Carolina ◽  
Data Science ◽  
Age Groups ◽  
The Elderly ◽  
The United States ◽  
Data Sources ◽  
Patient Registries ◽  
Multiple Partner ◽  
Multimodal Data

BACKGROUND The Coronavirus Disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus (SARS-CoV-2) remains a serious global pandemic. Currently, all age groups are at risk for infection but the elderly and persons with underlying health conditions are at higher risk of severe complications. In the United States (US), the pandemic curve is rapidly changing with over 6,786,352 cases and 199,024 deaths reported. South Carolina (SC) as of 9/21/2020 reported 138,624 cases and 3,212 deaths across the state. OBJECTIVE The growing availability of COVID-19 data provides a basis for deploying Big Data science to leverage multitudinal and multimodal data sources for incremental learning. Doing this requires the acquisition and collation of multiple data sources at the individual and county level. METHODS The population for the comprehensive database comes from statewide COVID-19 testing surveillance data (March 2020- till present) for all SC COVID-19 patients (N≈140,000). This project will 1) connect multiple partner data sources for prediction and intelligence gathering, 2) build a REDCap database that links de-identified multitudinal and multimodal data sources useful for machine learning and deep learning algorithms to enable further studies. Additional data will include hospital based COVID-19 patient registries, Health Sciences South Carolina (HSSC) data, data from the office of Revenue and Fiscal Affairs (RFA), and Area Health Resource Files (AHRF). RESULTS The project was funded as of June 2020 by the National Institutes for Health. CONCLUSIONS The development of such a linked and integrated database will allow for the identification of important predictors of short- and long-term clinical outcomes for SC COVID-19 patients using data science.

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