scholarly journals CAREGIVER RESPONSES TO REMOTE ACTIVITY MONITOR ALERTS OF PERSONS WITH DEMENTIA

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S327-S327
Author(s):  
Rachel Zmora ◽  
Jessica M Finlay ◽  
Lauren L Mitchell ◽  
Joseph E Gaugler
Keyword(s):  
Mixed Method ◽  
Regression Models ◽  
Primary Caregivers ◽  
Future Research ◽  
False Alarms ◽  
Linear Regression Models ◽  
Peace Of Mind ◽  
Sense Of Competence ◽  
System Use ◽  
Caregiver Experiences

Abstract The benefits of technology to alert family caregivers to the needs of persons with Alzheimer’s disease or related dementias (ADRD) are unclear. Previous research indicates that remote activity monitoring (RAM) system alerts can be alternately reassuring and highly stressful for caregivers. We conducted a parallel convergent mixed-methods analysis of 62 primary caregivers of persons with ADRD to evaluate the association between the number of alerts and caregiver outcomes after 6 months. We assessed caregiver-reported usability of the system as well as self-efficacy, sense of competence, and distress as primary outcomes. Linear regression models tested the association between the number of alerts and caregiver-reported usability and primary outcomes. The number of alerts declined over the first 6 months of system use and was not associated with a change in system usability or primary outcomes. Thematic analysis of caregiver-reported perceptions of RAM use simultaneously probed for more in-depth understanding of caregiver experiences of and feelings towards RAM. Preliminary analyses reveal that 28% of caregivers comments were positive, noting benefits such as early warning of health concerns and peace of mind. 34% of comments were neutral or mixed, and 38% were negative. Concerns included false alarms and accidental triggers, losing sleep due to alarms, and difficulties using the system. These findings help characterize the adjustment period to use RAM technology. The mixed-method results inform future research studies and applications of RAM systems so that researchers and caregivers can better understand the initial adjustment period, address concerns, and avoid discontinuing RAM use prematurely.

scholarly journals Psychiatric Disorders and Alcohol Consumption Among Low-Income African Americans:Gender Differences

2019 ◽  
Vol 9 (4) ◽  
pp. 86 ◽  
Author(s):  
Sharon Cobb ◽  
Shervin Assari
Keyword(s):  
Alcohol Consumption ◽  
Alcohol Use ◽  
Linear Regression ◽  
Low Income ◽  
Regression Models ◽  
Future Research ◽  
Linear Regression Models ◽  
Cross Sectional ◽  
Men And Women ◽  
Compulsive Disorder

Background: Although cooccurrence of nonsubstance use disorders (non-SUDs) and substance use is well-established in the literature, most of what we know in this regard is derived from studies that have recruited predominantly White sample populations. As a result, there is a gap in knowledge on this link among low-income African Americans (AAs). There is also a need to understand how low-income AA men and women differ in these associations. Objective: To study whether there is an association between number of non-SUDs and amount of alcohol consumption by AA adults, and whether this association varies between AA men and women. Methods: This cross-sectional study recruited a nonrandom sample of 150 AA adults with non-SUDs (i.e., major depression, bipolar disorders, obsessive–compulsive disorder, paranoid disorder, panic disorder, posttraumatic stress disorder (PTSD), and schizoaffective disorder). The independent variable was the number of non-SUDs. The dependent variable was the amount of alcohol consumption. Age, socioeconomic status (educational attainment and household income), and self-rated health were covariates. Gender was the moderator. Linear regression models were used to analyze the data. Results: A higher number of non-SUDs was not associated with a higher amount of alcohol use in the pooled sample of AA adults. We, however, found a significant interaction between gender and number of non-SUDs on the amount of alcohol use, suggesting a stronger effect of non-SUDs on alcohol consumption in AA men than in AA women. Gender-stratified linear regression models showed a positive association between number of non-SUDs and amount of alcohol consumption in AA men but not in AA women. Conclusion: Non-SUDs impact alcohol use of AA men but not women. Future research should test whether AA men may have a higher tendency to turn to alcohol to regulate their emotions and cope with psychological pain due to multiple non-SUDs. The results also suggest that integration of services for SUDs and non-SUDs may be more relevant to provision of mental health services for AA men than AA women.

Consumers' Prior Experiences and Perceptions in Auto Repair Choice

1983 ◽  
Vol 47 (3) ◽  
pp. 82-91 ◽  
Author(s):  
Gabriel J. Biehal
Keyword(s):  
Information Search ◽  
Regression Models ◽  
Search Behavior ◽  
Future Research ◽  
Linear Regression Models ◽  
Research Directions ◽  
Determining Factors ◽  
Managerial Implications ◽  
Future Research Directions ◽  
Prior Experiences

A survey examined information search for auto repair services and its determining factors. As in other decision contexts, external search was limited. Linear regression models found that consumers' prior experiences were a major determinant of search behavior. Managerial implications and future research directions are briefly discussed.

Demographic, Socioeconomic, and Health-Related Predictors of Objectively Measured Sedentary Time and Physical Activity During Pregnancy

2021 ◽  
pp. 1-8
Author(s):  
Melissa A. Jones ◽  
Kara Whitaker ◽  
McKenzie Wallace ◽  
Bethany Barone Gibbs
Keyword(s):  
Physical Activity ◽  
Regression Models ◽  
Future Research ◽  
Full Time ◽  
Linear Regression Models ◽  
Related Factors ◽  
Intensity Physical Activity ◽  
Health Related ◽  
History Of ◽  
Objectively Measured

Background: Sedentary behavior (SED) and moderate-to-vigorous intensity physical activity (MVPA) have important implications for health; however, little is known about predictors of these behaviors during pregnancy. Methods: This cohort study measured SED (activPAL) and MVPA (GT3X) in each trimester of pregnancy. Univariate associations of demographic, socioeconomic, and pregnancy health-related factors with SED or MVPA were calculated. Associations with P < .10 were included in stepwise linear regression models to determine independent predictors in each trimester. Results: Pregnant women (n = 127) were age 31.0 (4.9) years and 78% white. In regression models across trimesters, fewer children ≤ age 5 in the household (P < .04) and primarily sitting job activity (P < .008) were related to higher SED and use of assisted reproductive technology (P < .05) was associated with higher MVPA. In at least one trimester, younger age was related to higher SED (P = .014); no history of pregnancy loss (P < .04), being married (P = .003), employed (P < .004, full time or student), white race (P = .006), and higher education (P = .010) were associated with higher MVPA. Conclusions: Predictors of SED in pregnancy were more consistent, and differed from predictors of MVPA. These findings may help identify women at risk of high SED or low MVPA, though future research in larger samples is needed.

scholarly journals Outdoor Public Recreation Spaces And Social Connectedness Among Adolescents

2021 ◽  
Author(s):  
Elise Rivera ◽  
Jenny Veitch ◽  
Venurs HY Loh ◽  
Jo Salmon ◽  
Ester Cerin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Regression Models ◽  
Social Connectedness ◽  
Public Spaces ◽  
Future Research ◽  
Sports Facilities ◽  
Linear Regression Models ◽  
Different Types ◽  
Public Recreation ◽  
Multilevel Linear Regression

Abstract Background: Outdoor public recreation spaces are important settings for leisure and physical activity. Adolescents’ use of these spaces may be related to their social connectedness; however, research on this topic is limited. This study examined associations of frequency of visitation and physical activity in outdoor public recreation spaces with social connectedness among adolescents in Melbourne, Australia. Methods: Adolescents self-reported their frequency of visitation to parks, trails, beach/lake, and sports facilities; frequency of physical activity in a park, local street or path, and their street; and social connectedness. Separate analyses were conducted for visitation (n=349, 15.4±1.6 years, 58% female) and physical activity (n=441, 15.4±1.6 years, 59% female) using multilevel linear regression models. Results: No significant associations were observed for frequency of visitation to a park (B = 0.86, 95% CI= -0.26, 1.99), trails (B = 0.41, 95% CI= -0.61, 1.44), beach/lake (B = -0.44, 95% CI= -1.46, 0.57), or sports facilities (B =0.64, 95% CI= -0.43, 1.70), nor for frequency of physical activity in their street (B = -0.07, 95% CI= -0.46, 0.31), local streets/paths (B = -0.05, 95% CI= -0.43, 0.33) or in parks (B = 0.23, 95% CI= -0.14, 0.60) with adolescents’ social connectedness. Conclusions: The findings did not support the hypothesis that visiting and being active in outdoor public recreation spaces are associated with adolescents’ social connectedness. Future research should consider the duration and context of outdoor public recreation space use (e.g., sports, socialising, relaxing alone) and whether different types and/or a combination of public spaces are more/less conducive to social connectedness.

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.

scholarly journals Social Engagement and Episodic Memory in Non-Hispanic Black and White Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 343-343
Author(s):  
Abbey Hamlin ◽  
A Zarina Kraal ◽  
Laura Zahodne
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Episodic Memory ◽  
Cognitive Aging ◽  
Social Engagement ◽  
Future Research ◽  
Social Activities ◽  
Linear Regression Models ◽  
Significant Positive Association ◽  
Cross Sectional

Abstract Social engagement may confer cognitive benefits in older adulthood, but studies have typically been restricted to largely non-Hispanic White (NHW) samples. Levels of social engagement vary across race such that NHW report larger social networks, more frequent participation in social activities, and greater social support than non-Hispanic Blacks (NHB). Associations between social engagement and cognition may also vary by race, but research is sparse. The current cross-sectional study examined associations between different aspects of social engagement and episodic memory performance, as well as interactions between social engagement and race among NHB and NHW participants in the Michigan Cognitive Aging Project (N = 247; 48.4% NHB; age = 64.19 ± 2.92). Social engagement (network size, activities, support) was self-reported. Episodic memory was a z-score composite of immediate, delayed, and recognition trials of a list-learning task. Separate hierarchical linear regression models quantified interactions between race and each of the three social engagement variables on episodic memory, controlling for sociodemographics, depressive symptoms, and health conditions. Results showed a main effect of more frequent social activity on better episodic memory, as well as an interaction between race and social support indicating a significant positive association in NHB but not NHW. These preliminary findings suggest that participating in social activities may be equally beneficial for episodic memory across NHB and NHW older adults and that social support may be particularly beneficial for NHB. Future research is needed to determine the potential applications of these results in reducing cognitive inequalities through the development of culturally-relevant interventions.

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