scholarly journals Cognitive and Psychological Sequelae of COVID-19: Age Differences in Facing the Pandemic

2021 ◽  
Vol 12 ◽  
Author(s):  
Maria Devita ◽  
Elisa Di Rosa ◽  
Pamela Iannizzi ◽  
Sara Bianconi ◽  
Sara A. Contin ◽  
...  
Keyword(s):  
Older Adults ◽  
Linear Regression ◽  
Regression Models ◽  
Linear Regression Models ◽  
Post Traumatic Stress ◽  
Psychological Sequelae ◽  
Negative Effects ◽  
Younger Adults ◽  
Intensity Of Care ◽  
Novel Coronavirus

Literature about the novel Coronavirus (COVID-19) is currently focusing on the potential cognitive and neuropsychiatric sequelae observed in individuals receiving intensive care unit (ICU) treatments. The aim of the present study is to evaluate the differences in cognitive and psychological sequelae of COVID-19 between younger and older adults, regardless of being admitted to the ICU or not. The study involved 299 recovered individuals (from 18 to 90 years old), who underwent a comprehensive cognitive and psychological assessment. Linear regression models were conducted separately for Montreal Cognitive Assessment (MoCA) test and Post-traumatic Stress Disorder Checklist (PCL) scores to investigate the effect of socio-demographic and clinical characteristics on them. Separate linear regression models were then applied sorting participants by age: younger adults (<65 years) and older adults (≥65 years). In the whole sample, PCL scores were predicted by the intensity of care received, by being intubated, and by the persistence of cough after 1 month after hospitalization. Only age had instead an effect on cognition. In younger adults, PCL scores were predicted by the presence of neurological symptoms, by the intensity of care received, and by being intubated; MoCA scores were only predicted by the intensity of care received. No significant associations were found in older adults. Psychological negative effects of the COVID-19 pandemic particularly affect individuals under 65 years old, who also subjectively report cognitive sequelae associated with the infection. Individuals over 65 years old, instead, seem to be free from psychological and cognitive difficulties due to COVID-19.

Associations between perceptions of care experiences and receipt of mental health care among older adults with cancer.

2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 175-175
Author(s):  
Lisa M Lines ◽  
Daniel H Barch ◽  
Diana Zabala ◽  
Michael T. Halpern ◽  
Paul Jacobsen ◽  
...  
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Health Care ◽  
Linear Regression ◽  
Mental Health Care ◽  
Mood Disorders ◽  
Regression Models ◽  
Case Mix ◽  
Linear Regression Models ◽  
Fair Poor

175 Background: Older adults with cancer and worse self-rated mental health report worse care experiences. We hypothesized that, controlling for health and demographic characteristics, older adults with cancer who received care for anxiety or mood disorders would report better care experiences. Methods: We used SEER-CAHPS data to identify Medicare beneficiaries, aged 66 and over, diagnosed from August 2006 through December 2013 with one of the 10 most prevalent solid tumor malignancies. To identify utilization for anxiety or mood disorders (screening, diagnosis, or treatment), we analyzed inpatient, outpatient, home health, physician, and prescription drug claims from 12 months before through up to 5 years after cancer diagnosis. Outcomes of interest were global care experience ratings (Overall Care, Personal Doctor, and Specialist; rated on a 0-10 scale) and composite measures (Getting Needed Care, Getting Care Quickly, and Doctor Communication; scored from 0-100). We estimated linear regression models and also used a Bayesian Model Averaging approach, adjusting for standard case-mix adjustors (including sociodemographics and self-reported general health and mental health status [MHS]) and other characteristics, including cancer site and stage at diagnosis. We also included interaction terms between mental health care utilization and MHS. Results: Approximately 22% of the overall sample (n = 4,998) had both cancer and a claim for an anxiety or mood disorder, and of those individuals, 18% reported fair/poor MHS. Only 7% of those in the cancer-only cohort reported fair/poor MHS. Before adjusting for mental health utilization, worse MHS was significantly associated with worse experience of care. After accounting for anxiety/mood disorder-related utilization, linear regression models showed no significant associations between fair/poor MHS and worse care experiences, while Bayesian models found that reliable associations remained between worse MHS and lower global ratings of Overall Care and Specialist. Conclusions: Utilization for anxiety/mood disorders mediates the association between fair/poor MHS and worse care experiences. Although MHS is a case-mix adjustor for CAHPS public reporting, it is important to recognize that care for anxiety or mood disorders may improve care experiences among seniors with cancer.

scholarly journals The Influence of Sitting, Standing, and Stepping Bouts on Cardiometabolic Health Markers in Older Adults

2021 ◽  
pp. 1-9
Author(s):  
Simone J.J.M. Verswijveren ◽  
Cormac Powell ◽  
Stephanie E. Chappel ◽  
Nicola D. Ridgers ◽  
Brian P. Carson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Body Composition ◽  
Linear Regression ◽  
Regression Models ◽  
Fasting Glucose ◽  
Cardiometabolic Health ◽  
Linear Regression Models ◽  
Cross Sectional

Aside from total time spent in physical activity behaviors, how time is accumulated is important for health. This study examined associations between sitting, standing, and stepping bouts, with cardiometabolic health markers in older adults. Participants from the Mitchelstown Cohort Rescreen Study (N = 221) provided cross-sectional data on activity behaviors (assessed via an activPAL3 Micro) and cardiometabolic health. Bouts of ≥10-, ≥30-, and ≥60-min sitting, standing, and stepping were calculated. Linear regression models were fitted to examine the associations between bouts and cardiometabolic health markers. Sitting (≥10, ≥30, and ≥60 min) and standing (≥10 and ≥30 min) bouts were detrimentally associated with body composition measures, lipid markers, and fasting glucose. The effect for time spent in ≥60-min sitting and ≥30-min standing bouts was larger than shorter bouts. Fragmenting sitting with bouts of stepping may be targeted to benefit cardiometabolic health. Further insights for the role of standing need to be elicited.

scholarly journals Provider Communication and Loneliness in Senior Living Communities During the COVID-19 Pandemic

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 721-721
Author(s):  
Lindsay Wilkinson ◽  
Julie Masters ◽  
Julie Blaskewicz Boron
Keyword(s):  
Higher Education ◽  
Older Adults ◽  
Linear Regression ◽  
Regression Models ◽  
Response Rate ◽  
Well Being ◽  
Provider Communication ◽  
Linear Regression Models ◽  
Resource Substitution ◽  
The Impact

Abstract Prior research has demonstrated the impact of the COVID-19 pandemic on feelings of loneliness, but relatively little is known about loneliness in the context of senior living communities (SLCs). Indeed, the pandemic has led SLCs to enact new safety precautions, including visitor restrictions, intended to reduce the spread of COVID-19, which may have serious consequences for the psychosocial well-being of residents. Drawing on a sample of 733 adults ages 54 to 100 living in one of nine SLCs in December 2020 (response rate = 60%), linear regression models were used to examine whether perceived communication between SLCs and residents during the COVID-19 pandemic influenced feelings of loneliness. Analyses also considered whether this association varied as a function of education. Our findings reveal that 53% of respondents were very lonely during the pandemic. However, older adults who perceived that their SLC had been helpful to their understanding of the pandemic were significantly less lonely (p < 0.01), adjusting for sociodemographic and health characteristics. Moreover, we found that less educated older adults derived the greatest benefit from effective communication about the pandemic (p < 0.05). Those with less education reported feeling lonelier if they did not perceive that their SLC communicated in a way that helped them better understand the pandemic; there was no such association for those with higher education. The findings from this study provide support for the resource substitution hypothesis and demonstrate the importance of communication in alleviating feelings of loneliness during the COVID-19 pandemic.

Persistence of the norm of filial obligation among Chilean adults

2021 ◽  
Author(s):  
M. Beatriz Fernández ◽  
M. Soledad Herrera
Keyword(s):  
Linear Regression ◽  
Religious Belief ◽  
Regression Models ◽  
Linear Regression Models ◽  
Filial Obligation ◽  
Family Responsibilities ◽  
Younger Adults ◽  
Nationally Representative ◽  
Parent Child Relationships ◽  
Ageing Parents

Norms of filial obligation can predict how and whether children provide support to their ageing parents. Using a nationally representative sample, this study describes the degree to which Chilean adults adhere to these norms, and analyses which variables are associated with their degree of adherence to these norms. It found that adults are more likely to adhere to these norms when their parents require special care. Using linear regression models, this study also found that younger adults and those with fewer family responsibilities are more likely to adhere to these norms, as do people who are more educated and those who identify with a religious belief. Reciprocity in parent–child relationships also predict greater adherence.

The Plasma Proteome Fingerprint Associated With Circulating Carotenoids And Retinol In Older Adults

2021 ◽  
Author(s):  
Yuko Yamaguchi ◽  
Marta Zampino ◽  
Toshiko Tanaka ◽  
Stefania Bandinelli ◽  
Ruin Moaddel ◽  
...  
Keyword(s):  
Older Adults ◽  
Linear Regression ◽  
Plasma Proteins ◽  
Regression Models ◽  
High Performance ◽  
Age Related Macular Degeneration ◽  
Plasma Proteome ◽  
Linear Regression Models ◽  
Age Related ◽  
Β Carotene

Abstract Background Although diets rich in carotenoids are associated with reduced risk of cardiovascular disease, age-related macular degeneration, disability, and other adverse aging outcomes, the underlying biological mechanisms are not fully elucidated. Objectives To characterize the plasma proteome fingerprint associated with circulating carotenoid and retinol concentrations in older adults. Methods In 728 adults, ≥65 years, participating in the Invecchiare in Chianti (InCHIANTI) Study, plasma α-carotene, β-carotene, β-cryptoxanthin, lutein, zeaxanthin, and lycopene were measured using high performance liquid chromatography. The SOMAscan assay was used to measure 1301 plasma proteins. Multivariable linear regression models were used to examine the relationship of individual carotenoids and retinol with plasma proteins. A false discovery rate approach was used to deal with multiple comparisons using a q-value <0.05. Results Plasma β-carotene, β-cryptoxanthin, lutein, zeaxanthin, and lycopene were associated with 85, 39, 4, 2, and 5 plasma proteins, respectively, in multivariable linear regression models adjusting for potential confounders (q<0.05). No proteins were associated with α-carotene or retinol. Two or more carotenoids were positively associated with ferritin, 6-phosphogluconate dehydrogenase (decarboxylating), hepcidin, thrombospondin-2, and choline/ethanolamine kinase. The proteins associated with circulating carotenoids were related to energy metabolism, sirtuin signaling, inflammation and oxidative stress, iron metabolism, proteostasis, innate immunity, and longevity. Conclusions The plasma proteomic fingerprint associated with elevated circulating carotenoids in older adults provide insight into the mechanisms underlying the protective role of carotenoids on health.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

Linear Regression Models for Interval-Valued Data using Log-transformation

2020 ◽  
Author(s):  
Nykolas Mayko Maia Barbosa ◽  
João Paulo Pordeus Gomes ◽  
César Lincoln Cavalcante Mattos ◽  
Diêgo Farias Oliveira
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Linear Regression Models ◽  
Log Transformation ◽  
Interval Valued

THE PREDICTIVE CONTENT OF DISAGGREGATED NORMAL INCOME: An Empirical Study in the JSX

2003 ◽  
Vol 5 (3) ◽  
pp. 363 ◽  
Author(s):  
Slamet Sugiri
Keyword(s):  
Linear Regression ◽  
Regression Models ◽  
Stock Exchange ◽  
Manufacturing Firms ◽  
Single Step ◽  
Model Parameters ◽  
Linear Regression Models ◽  
Operating Income ◽  
Predictive Content ◽  
Multiple Step

The main objective of this study is to examine a hypothesis that the predictive content of normal income disaggregated into operating income and nonoperating income outperforms that of aggregated normal income in predicting future cash flow. To test the hypothesis, linear regression models are developed. The model parameters are estimated based on fifty-five manufacturing firms listed in the Jakarta Stock Exchange (JSX) up to the end of 1997.This study finds that empirical evidence supports the hypothesis. This evidence supports arguments that, in reporting income from continuing operations, multiple-step approach is preferred to single-step one.

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