scholarly journals LONGITUDINAL COMPARISON OF IN CLINIC AND AT HOME ADMINISTRATION OF THE COGSTATE BRIEF BATTERY AND DEMONSTRATED PRACTICE EFFECTS IN THE MAYO CLINIC STUDY OF AGING

Author(s):  
N.H. Stricker ◽  
E.S. Lundt ◽  
E.C. Alden ◽  
S.M. Albertson ◽  
M.M. Machulda ◽  
...  

Background: The Cogstate Brief Battery (CBB) is a computerized cognitive assessment that can be completed in clinic or at home. Design/Objective: This retrospective study investigated whether practice effects / performance trajectories of the CBB differ by location of administration. Participants/Setting: Participants included 1439 cognitively unimpaired individuals age 50-75 at baseline participating in the Mayo Clinic Study of Aging (MCSA), a population-based study of cognitive aging. Sixty three percent of participants completed the CBB in clinic only and 37% completed CBB both in clinic and at home. Measurements: The CBB consists of four subtests: Detection, Identification, One Card Learning, and One Back. Linear mixed effects models were used to evaluate performance trajectories in clinic and at home. Results: Results demonstrated significant practice effects between sessions 1 to 2 for most CBB measures. Practice effects continued over subsequent testing sessions, to a lesser degree. Average practice effects/trajectories were similar for each location (home vs. clinic). One Card Learning and One Back accuracy performances were lower at home than in clinic, and this difference was large in magnitude for One Card Learning accuracy. Participants performed faster at home on Detection reaction time, although this difference was small in magnitude. Conclusions: Results suggest the location where the CBB is completed has an important impact on performance, particularly for One Card Learning accuracy, and there are practice effects across repeated sessions that are similar regardless of where testing is completed.

2009 ◽  
Vol 5 (4S_Part_12) ◽  
pp. P354-P355
Author(s):  
Kejal Kantarci ◽  
Ronald C. Petersen ◽  
Ali R. Samikoglu ◽  
Maria M. Shiung ◽  
Scott A. Przybelski ◽  
...  

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 2067-2067
Author(s):  
Alissa Butts ◽  
Jeremy A. Syrjanen ◽  
Jeremiah Aakre ◽  
Paul D. Brown ◽  
Clifford R. Jack ◽  
...  

2067 Background: An estimated 2% of the general population has a meningioma (Vernooij et al. 2007), which accounts for about 36% of all primary intracranial tumors (Ostrom et al. 2015). The most established risk factors are older age and female gender. One small study identified gender but no other risk factors with meningioma (Krampla et al 2004). A larger study using the Iowa Women’s Health study data found lower levels of physical activity, greater body mass index (BMI), greater height and uterine fibroids were associated with meningioma (Johnson et al. 2011). We sought to replicate these findings and to identify additional risk factors related to meningioma in a large population-based sample. Methods: Study participants were enrolled in the Mayo Clinic Study of Aging (MCSA), a population-based sample of Olmsted County, Minnesota residents used to study prevalence, incidence, and risk-factors for Mild Cognitive Impairment and dementia and includes a variety of medical factors. Using a text search of radiologists’ notes of 2,402 MCSA individuals, mean age 77±8 years and scanned between 2004-2014.We identified 52 subjects who had at least one meningioma. We estimated the association of selected potential risk factors with presence of meningioma using odds ratios and 95% confidence intervals from logistic regression models adjusted for age and gender, which informed the multivariable models. Results: In the initial models, significant risk factors identified included BMI (as a continuous variable) (OR = 1.06 95%CI 1.01 to 1.12), taking NSAIDS (OR = 2.11, 95%CI 1.13 to 3.95), aspirin (OR = 1.90, 95%CI 1.04 to 3.46), and blood pressure lowering medication (OR = 2.06, 95%CI 1.07 to 3.99). Protective factors included male gender (OR = 0.51, 95%CI 0.29 to 0.90), coronary artery disease (CAD; OR = 0.46, 95%CI 0.22 to 0.97) and higher Beck Anxiety Inventory (BAI) total score (OR = 0.88, 95%CI 0.78 to 0.98). Simultaneous adjustment for these factors in a multivariable model did not attenuate these associations. Conclusions: Findings reveal gender and BMI as risk factors for meningioma. Additionally, certain medications such as NSAIDS and BP lowering medications warrant follow up as potential factors related to development of meningioma.


2019 ◽  
Vol 29 (4) ◽  
pp. 608-615 ◽  
Author(s):  
María José Cabañero-Martínez ◽  
Andreu Nolasco ◽  
Inmaculada Melchor ◽  
Manuel Fernández-Alcántara ◽  
Julio Cabrero-García

Abstract Background Although studies suggest that most people prefer to die at home, not enough is known about place of death patterns by cause of death considering sociodemographic factors. The objective of this study was to determine the place of death in the population and to analyze the sociodemographic variables and causes of death associated with home as the place of death. Methods Cross-sectional population-based study. All death certificate data on the residents in Spain aged 15 or over who died in Spain between 2012 and 2015 were included. We employed multinomial logistic regression to explore the relation between place of death, sociodemographic variables and cause of death classified according to the International Classification of Diseases, 10th revision, and to conditions needing palliative care. Results Over half of all deaths occurred in hospital (57.4%), representing double the frequency of deaths that occurred at home. All the sociodemographic variables (sex, educational level, urbanization level, marital status, age and country of birth) were associated with place of death, although age presented the strongest association. Cause of death was the main predictor with heart disease, neurodegenerative disease, Alzheimer’s disease, dementia and senility accounting for the highest percentages of home deaths. Conclusions Most people die in hospital. Cause of death presented a stronger association with place of death than sociodemographic variables; of these latter, age, urbanization level and marital status were the main predictors. These results will prove useful in planning end-of-life care that is more closely tailored to people’s circumstances and needs.


2015 ◽  
Vol 357 ◽  
pp. e228
Author(s):  
A. Pink ◽  
S.A. Przybelski ◽  
J. Krell-Roesch ◽  
G.B. Stokin ◽  
K.A. Spangehl ◽  
...  

2013 ◽  
Vol 27 (8) ◽  
pp. 1247-1264 ◽  
Author(s):  
Mary M. Machulda ◽  
V. Shane Pankratz ◽  
Teresa J. Christianson ◽  
Robert J. Ivnik ◽  
Michelle M. Mielke ◽  
...  

2012 ◽  
Vol 73 (8) ◽  
pp. 741-750 ◽  
Author(s):  
Sophie Pujol ◽  
Marc Berthillier ◽  
Jérôme Defrance ◽  
Joseph Lardiès ◽  
Rémy Petit ◽  
...  

2018 ◽  
Vol 16 (1) ◽  
Author(s):  
Tzu Tsun Luk ◽  
Man Ping Wang ◽  
Yongda Wu ◽  
Derek Yee Tak Cheung ◽  
Sai Yin Ho ◽  
...  

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