The Chinese version of the brief assessment of cognition in schizophrenia: Data of a large-scale Mandarin-speaking population

2017 ◽  
Vol 41 (S1) ◽  
pp. S334-S334 ◽  
Author(s):  
L.J. Wang ◽  
S.T. Hsu

ObjectiveThe brief assessment of cognition in schizophrenia (BACS) is a cognitive assessment tool used to measure the broad aspects of cognition that are most frequently impaired in patients with schizophrenia. This study aims to develop the normative data of the Chinese version of the BACS among the Mandarin-speaking population.MethodsThis cross-sectional study included 382 healthy participants (age range: 19–79 years; mean age: 48.0 ± 16.7 years, 47.6% male) in Taiwan, who were evaluated with the BACS. Means and standard deviations of subtests and composite scores were arranged by age group and gender. The Z-scores calculated based on the U.S. norms were compared to our scores based on the norms established in the present study.ResultsThe raw scores of all the BACS tests (verbal memory, digit sequencing, token motor test, verbal fluency, symbol coding, and Tower of London) were negatively correlated with participants’ age. Females were superior to males in verbal memory, but inferior to them in executive function. Furthermore, applying the U.S. norms of the BACS to determine the performance of the Chinese BACS results in bias with regard to verbal memory, token motor test, verbal fluency, symbol coding, Tower of London, and composite score.ConclusionsThese findings demonstrate that directly applying Western cognitive norms to a Mandarin-speaking population can cause biased interpretations. The results of the current study can be an important reference for clinical settings and research related to cognitive assessments in Mandarin-speaking Chinese populations.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Author(s):  
Kahler W. Stone ◽  
Kristina W. Kintziger ◽  
Meredith A. Jagger ◽  
Jennifer A. Horney

While the health impacts of the COVID-19 pandemic on frontline health care workers have been well described, the effects of the COVID-19 response on the U.S. public health workforce, which has been impacted by the prolonged public health response to the pandemic, has not been adequately characterized. A cross-sectional survey of public health professionals was conducted to assess mental and physical health, risk and protective factors for burnout, and short- and long-term career decisions during the pandemic response. The survey was completed online using the Qualtrics survey platform. Descriptive statistics and prevalence ratios (95% confidence intervals) were calculated. Among responses received from 23 August and 11 September 2020, 66.2% of public health workers reported burnout. Those with more work experience (1–4 vs. <1 years: prevalence ratio (PR) = 1.90, 95% confidence interval (CI) = 1.08−3.36; 5–9 vs. <1 years: PR = 1.89, CI = 1.07−3.34) or working in academic settings (vs. practice: PR = 1.31, CI = 1.08–1.58) were most likely to report burnout. As of September 2020, 23.6% fewer respondents planned to remain in the U.S. public health workforce for three or more years compared to their retrospectively reported January 2020 plans. A large-scale public health emergency response places unsustainable burdens on an already underfunded and understaffed public health workforce. Pandemic-related burnout threatens the U.S. public health workforce’s future when many challenges related to the ongoing COVID-19 response remain unaddressed.


Author(s):  
Osama Abdelkarim ◽  
Julian Fritsch ◽  
Darko Jekauc ◽  
Klaus Bös

Physical fitness is an indicator for children’s public health status. Therefore, the aim of this study was to examine the construct validity and the criterion-related validity of the German motor test (GMT) in Egyptian schoolchildren. A cross-sectional study was conducted with a total of 931 children aged 6 to 11 years (age: 9.1 ± 1.7 years) with 484 (52%) males and 447 (48%) females in grades one to five in Assiut city. The children’s physical fitness data were collected using GMT. GMT is designed to measure five health-related physical fitness components including speed, strength, coordination, endurance, and flexibility of children aged 6 to 18 years. The anthropometric data were collected based on three indicators: body height, body weight, and BMI. A confirmatory factor analysis was conducted with IBM SPSS AMOS 26.0 using full-information maximum likelihood. The results indicated an adequate fit (χ2 = 112.3, df = 20; p < 0.01; CFI = 0.956; RMSEA = 0.07). The χ2-statistic showed significant results, and the values for CFI and RMSEA showed a good fit. All loadings of the manifest variables on the first-order latent factors as well as loadings of the first-order latent factors on the second-order superordinate factor were significant. The results also showed strong construct validity in the components of conditioning abilities and moderate construct validity in the components of coordinative abilities. GMT proved to be a valid method and could be widely used on large-scale studies for health-related fitness monitoring in the Egyptian population.


BMC Neurology ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Shu-yang Yu ◽  
Teng-hong Lian ◽  
Peng Guo ◽  
Li-xia Li ◽  
Du-yu Ding ◽  
...  

Abstract Background Apathy is one of the most common symptoms of Alzheimer’s disease (AD), however, correlations of apathy with demographic variables, cognitive functions, neuropsychiatric symptoms, activity of daily living and olfactory functions in AD patients are still lacking comprehensive investigations. Methods This is a cross-sectional study. Total 124 typical AD patients were consecutively recruited from April 2014 to April 2017. In 124 AD patients, 47 cases (37.9%) were male and 77 cases were female; patients’ age were 43–93 years with an average of 68 years. Patients were divided into AD with apathy (AD-A) and AD with no apathy (AD-NA) groups according to the score of Modified Apathy Evaluation Scale, then were evaluated cognitive functions, neuropsychiatric symptoms and activity of daily living, and tested olfactory functions. Above variables were compared between AD-A and AD-NA groups. Further correlation analyses and linear regression analysis were performed between apathy and above variables. Results Compared with AD-NA group, global cognitive level, verbal memory, verbal fluency and activity of daily living were significantly compromised in AD-A group (P < 0.002); depression and agitation were severely displayed in AD-A group (P < 0.002). Apathy was negatively correlated with global cognitive function, verbal memory, verbal fluency and activity of daily living (P < 0.05). There was no significant difference of olfactory functions between the two groups (P > 0.002), and correlations between apathy and olfactory threshold, olfactory identification and global olfactory function were significant (P < 0.05) but quite weak (|r| < 0.3). Further linear regression analysis showed that only verbal fluency and instrumental activities of daily living were independently associated with apathy. Conclusions Independent correlations among apathy, verbal fluency and instrumental activities of daily living in AD patients might be related to the common brain area involved in their pathogeneses.


2021 ◽  
Author(s):  
Joshua A Salomon ◽  
Alex Reinhart ◽  
Alyssa Bilinski ◽  
Eu Jing Chua ◽  
Wichida La Motte-Kerr ◽  
...  

The U.S. COVID-19 Trends and Impact Survey (CTIS) is a large, cross-sectional, Internet-based survey that has operated continuously since April 6, 2020. By inviting a random sample of Facebook active users each day, CTIS collects information about COVID-19 symptoms, risks, mitigating behaviors, mental health, testing, vaccination, and other key priorities. The large scale of the survey -- over 20 million responses in its first year of operation -- allows tracking of trends over short timescales and allows comparisons at fine demographic and geographic detail. The survey has been repeatedly revised to respond to emerging public health priorities. In this paper, we describe the survey methods and content and give examples of CTIS results that illuminate key patterns and trends and help answer high-priority policy questions relevant to the COVID-19 epidemic and response. These results demonstrate how large online surveys can provide continuous, real-time indicators of important outcomes that are not subject to public health reporting delays and backlogs. The CTIS offers high value as a supplement to official reporting data by supplying essential information about behaviors, attitudes toward policy and preventive measures, economic impacts, and other topics not reported in public health surveillance systems.


Author(s):  
Tzong-Hann Yang ◽  
Yuan-Chia Chu ◽  
Yu-Fu Chen ◽  
Meng-Yu Chen ◽  
Yen-Fu Cheng ◽  
...  

Key Points: Question: Can the traditional Chinese version of the hearing handicap inventory for elderly screening (HHIE-S) checklist screen for age-related hearing loss (ARHL) in elderly individuals? Findings: In this cross-sectional study of 1696 Taiwanese patients who underwent annual government-funded geriatric health checkups, the Chinese version of the HHIE-S had a sensitivity of 76.9% and a specificity of 79.8% with a cutoff score greater than 6 for identifying patients with disabled hearing loss (defined as a PTA > 40 dB). Meaning: The traditional Chinese version of the HHIE-S is an effective test to detect ARHL and can improve the feasibility of large-scale hearing screening among elderly individuals. Purpose: The traditional Chinese version of the hearing handicap inventory for elderly screening (TC-HHIE-S) was translated from English and is intended for use with people whose native language is traditional Chinese, but its effectiveness and diagnostic performance are still unclear. The purpose of this study was to evaluate the validity and reliability of the traditional Chinese version of the HHIE-S for screening for age-related hearing loss (ARHL). Methods: A total of 1696 elderly people underwent the government’s annual geriatric medical examination at community hospitals. In this cross-sectional study, we recorded average conducted pure-tone averages (PTA) (0.5 kHz, 1 kHz, 2 kHz, 4 kHz), age, sex, and HHIE-S data. Receiver operating characteristic (ROC) curve analysis was used to identify the best critical point for detecting hearing impairment, and the validity of the structure was verified by the agreement between the TC-HHIE-S and PTA results. Results: The HHIE-S scores were correlated with the better-ear pure-tone threshold averages (PTAs) at 0.5–4 kHz (correlation coefficient r = 0.45). The internal consistency of the total HHIE-S score was excellent (Cronbach’s alpha = 0.901), and the test-retest reliability was also excellent (Spearman’s correlation coefficient = 0.60, intraclass correlation coefficient = 0.75). In detecting disabled hearing loss (i.e., PTA at 0.5–4 kHz > 40 dB), the HHIE-S cutoff score of > 6 had a sensitivity of 76.9% and a specificity of 79.8%. Conclusions: The traditional Chinese version of the HHIE-S is a valid, reliable, and efficient tool for large-scale screening for ARHL.


2014 ◽  
Vol 30 (4) ◽  
pp. 787-810
Author(s):  
MoonJung Cho ◽  
John L. Eltinge ◽  
Julie Gershunskaya ◽  
Larry Huff

Abstract Large-scale establishment surveys often exhibit substantial temporal or cross-sectional variability in their published standard errors. This article uses a framework defined by survey generalized variance functions to develop three sets of analytic tools for the evaluation of these patterns of variability. These tools are for (1) identification of predictor variables that explain some of the observed temporal and cross-sectional variability in published standard errors; (2) evaluation of the proportion of variability attributable to the abovementioned predictors, equation error and estimation error, respectively; and (3) comparison of equation error variances across groups defined by observable predictor variables. The primary ideas are motivated and illustrated by an application to the U.S. Current Employment Statistics program.


2019 ◽  
Vol 34 (7) ◽  
pp. 1217-1231 ◽  
Author(s):  
Natalia Becker ◽  
L R Piccolo ◽  
J F Salles

Abstract Objective Verbal fluency (VF) tasks are widely used to investigate children’s lexical knowledge and executive functions skills. Consistency of measurement of the strategic retrieval components is still an issue and performance of Brazilian–Portuguese speaking children are currently not available. A cross-sectional study investigated the effects of age, school type (public × private) and the influence of language, memory and inhibitory control on VF. Method We assessed 414 Brazilian children, aged 6–12, in the number of words produced and both clustering and switching components, with two measures of VF: letter (LVF) and semantic (SVF). Results Analysis of the number of words produced showed a significant increase between 6–8-year-olds, 9–10-year-olds and 11–12-year-olds in SVF, while in LVF, the differences were significant only in the later age group. In SVF, the numbers of clusters and switches increased with age, whereas in LVF, the number of switches increased in all age groups, but clusters increased only in the older group. Structural equation model analyses showed that oral and written language, verbal memory and inhibitory control are associated with VF performance and IQ, while age mediated VF performance. Conclusions The results indicate a different development pattern between LVF and SVF in the number of words produced and in clustering and switching, with the latter predicting VF performance in words produced. VF development is shown to depend on language, memory and inhibitory control. Our results have important implications to clinical neuropsychology.


2020 ◽  
Author(s):  
Janie F. Shelton ◽  
Briana Cameron ◽  
Stella Aslibekyan ◽  
Robert Gentleman ◽  

AbstractObjectiveTo characterize dietary habits, their temporal and spatial patterns, and associations with body mass index (BMI) in the 23andMe study population.DesignWe present a large-scale cross-sectional analysis of self-reported dietary intake data derived from the web-based NHANES 2009-2010 dietary screener. Survey-weighted estimates for each food item were characterized by age, sex, race/ethnicity, education, and BMI. Temporal patterns were plotted over a 2-year time period, and average consumption for select food items was mapped by state. Finally, dietary intake variables were tested for association with BMI.SettingU.S. based adults 20-85 years of age participating in the 23andMe research program.ParticipantsParticipants were 23andMe customers who consented to participate in research (n=526,774) and completed web-based surveys on demographic and dietary habits.ResultsSurvey-weighted estimates show very few participants met federal recommendations for fruit: 2.6%, vegetables: 5.9%, and dairy intake: 2.8%. Between 2017-2019, fruit, vegetables, and milk intake frequency declined, while total dairy remained stable and added sugars increased. Seasonal patterns in reporting were most pronounced for ice cream, chocolate, fruits, and vegetables. Dietary habits varied across the U.S., with higher intake of sugar and calorie dense foods characterizing areas with higher average BMI. In multivariate-adjusted models, BMI was directly associated with intake of processed meat, red meat, dairy, and inversely associated with consumption of fruit, vegetables, and whole grains.Conclusions23andMe research participants have created an opportunity for rapid, large scale, real time nutritional data collection, informing demographic, seasonal and spatial patterns with broad geographical coverage across the U.S.


2020 ◽  
Author(s):  
Mathias W. Nielsen ◽  
Marcia L Stefanick ◽  
Diana Peragine ◽  
Torsten B. Neilands ◽  
John P. A. Ioannidis ◽  
...  

This study develops a gender assessment tool for use in clinical and population research, including large-scale health surveys involving diverse Western populations. While analyzing sex as a biological variable is widely mandated, gender as a sociocultural variable is not, largely because the field lacks quantitative tools for analyzing the influence of gender on health outcomes. We conducted a comprehensive review of English-language measures of gender from 1975 to 2015 to identify variables across three domains: gender norms, gender-related traits, and gender relations. This yielded 11 variables tested with 44 items in three US cross-sectional survey populations: two internet-based (N= 2,051; N= 2,135) and a patient-research registry (N= 489), conducted between May 2017 and January 2018. Exploratory and confirmatory factor analyses distilled 11 constructs to 7 gender-related variables: caregiver strain, work strain, independence, risk-taking, emotional intelligence, social support, and discrimination. Regression analyses, adjusted for age, ethnicity, income, education, sex assigned at birth, and self-reported gender identity, identified associations between these gender-related variables and self-rated general health, physical and mental health, and health-risk behaviors. Our new instrument can be used to develop health interventions based on a fuller understanding of gender associations with health.


2016 ◽  
Vol 32 (3) ◽  
pp. 289-296 ◽  
Author(s):  
Liang-Jen Wang ◽  
Yu-Chi Huang ◽  
Chi-Fa Hung ◽  
Chih-Ken Chen ◽  
Yi-Chih Chen ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document