Care-Receiver and Caregiver Assessments of Functioning: Are There Gender Differences?

2005 ◽  
Vol 24 (2) ◽  
pp. 139-150 ◽  
Author(s):  
Julie C. Shaver ◽  
Diane E. Allan

ABSTRACTIn situations where care-receivers cannot respond to questions about their functional status, caregiver proxies are often substituted. Yet studies addressing caregiver-care-receiver agreement remain limited in scope, focusing primarily on cognitive functioning and caregiver relationship. This study broadens the range of research in this area by examining caregiver and care-receiver reports of individual IADL and AADL items by gender of care-receiver. As well, the degree to which the care-receiver's age and mental and physical health status influence agreement are investigated. Data for this study come from a sample of 388 Manitoba older adults aged 65 and over. Results (using Cohen's kappa) suggest less agreement on the presence of disability for men than for women, particularly among those aged 75–84. Differences by health status were also revealed. The implications of the findings for assessments of functioning are considered.

10.2196/13757 ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. e13757 ◽  
Author(s):  
Sarah Anne Graham ◽  
Dilip V Jeste ◽  
Ellen E Lee ◽  
Tsung-Chin Wu ◽  
Xin Tu ◽  
...  

Background Heart rate variability (HRV), or variation in beat-to-beat intervals of the heart, is a quantitative measure of autonomic regulation of the cardiovascular system. Low HRV derived from electrocardiogram (ECG) recordings is reported to be related to physical frailty in older adults. Recent advances in wearable technology offer opportunities to more easily integrate monitoring of HRV into regular clinical geriatric health assessments. However, signals obtained from ECG versus wearable photoplethysmography (PPG) devices are different, and a critical first step preceding their widespread use is to determine whether HRV metrics derived from PPG devices also relate to older adults’ physical function. Objective This study aimed to investigate associations between HRV measured with a wrist-worn PPG device, the Empatica E4 sensor, and validated clinical measures of both objective and self-reported physical function in a cohort of older adults living independently within a continuing care senior housing community. Our primary hypothesis was that lower HRV would be associated with lower physical function. In addition, we expected that HRV would explain a significant proportion of variance in measures of physical health status. Methods We evaluated 77 participants from an ongoing study of older adults aged between 65 and 95 years. The assessments encompassed a thorough examination of domains typically included in a geriatric health evaluation. We collected HRV data with the Empatica E4 device and examined bivariate correlations between HRV quantified with the triangular index (HRV TI) and 3 widely used and validated measures of physical functioning—the Short Physical Performance Battery (SPPB), Timed Up and Go (TUG), and Medical Outcomes Study Short Form 36 (SF-36) physical composite scores. We further investigated the additional predictive power of HRV TI on physical health status, as characterized by SF-36 physical composite scores and Cumulative Illness Rating Scale for Geriatrics (CIRS-G) scores, using generalized estimating equation regression analyses with backward elimination. Results We observed significant associations of HRV TI with SPPB (n=52; Spearman ρ=0.41; P=.003), TUG (n=51; ρ=−0.40; P=.004), SF-36 physical composite scores (n=49; ρ=0.37; P=.009), and CIRS-G scores (n=52, ρ=−0.43; P=.001). In addition, the HRV TI explained a significant proportion of variance in SF-36 physical composite scores (R2=0.28 vs 0.11 without HRV) and CIRS-G scores (R2=0.33 vs 0.17 without HRV). Conclusions The HRV TI measured with a relatively novel wrist-worn PPG device was related to both objective (SPPB and TUG) and self-reported (SF-36 physical composite) measures of physical function. In addition, the HRV TI explained additional variance in self-reported physical function and cumulative illness severity beyond traditionally measured aspects of physical health. Future steps include longitudinal tracking of changes in both HRV and physical function, which will add important insights regarding the predictive value of HRV as a biomarker of physical health in older adults.


Salmand ◽  
2019 ◽  
pp. 652-665
Author(s):  
Sima Ghasemi ◽  
Nastaran Keshavarz Mohammadi ◽  
Farahnaz Mohammadi Shahboulaghi ◽  
Ali Ramezankhani ◽  
Yadollah Mehrabi

2021 ◽  
Vol 12 ◽  
pp. 215013272110271
Author(s):  
Marissa Godfrey ◽  
Pi-Ju Liu ◽  
Aining Wang ◽  
Stacey Wood

Introduction/Objectives The healthcare intake process plays a significant role in informing medical personnel about patients’ demographic information, subjective health status, and health complaints. Intake forms can help providers personalize care to assist patients in getting proper referrals and treatment. Previous studies examined factors that could be included in intake forms independently, but this study analyzed loneliness, religiousness, household income, and social integration together to see how the combined effect influences mental and physical health status. This study aims to determine which of those 4 variables better inform patients’ mental versus physical health status. Methods One hundred and seventy-nine participants completed surveys, including the SF-12® Health Survey, measuring perceived physical and mental health, UCLA 3-item Loneliness Scale, and a demographics questionnaire with questions about household income and time spent dedicated to religious practice, if applicable. Additionally, individuals answered social integration questions about how often they contact close family and friends or volunteer in the community. Using loneliness, household income, religiousness, social integration as independent variables, and controlling for demographic variables such as age, gender, and race, 2 regression models were built with Mental and Physical Health Composite Scores from the the SF-12® Health Survey as dependent variables. Results Loneliness was associated with mental health measures ( b = −2.190, P < .001), while household income was associated with physical health measures ( b = 0.604, P = .019) above and beyond other variables in the regression models. Conclusions Integrating the 3 loneliness questions into intake forms can help approximate an individual’s mental health status. This would allow the provider to be able to assess mental health problems more effectively and provide needed resources.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 10038-10038
Author(s):  
Mackenzi Pergolotti ◽  
Allison Mary Deal ◽  
Grant Richard Williams ◽  
Ashley Leak Bryant ◽  
Lauren McCarthy ◽  
...  

10038 Background: Limitations in functional status and reduced health status are common among older adults with cancer, yet occupational and physical therapy (OT/PT) remain underutilized (Pergolotti, et.al. JGO,2015). For this population, we evaluated an outpatient CAncer REhabilitation (CARE) program and compared it to usual care (UC). Methods: We recruited adults 65 years and older who had a diagnosis of cancer or recurrence within 5 years and had at least one functional limitation as measured by a geriatric assessment (GA). Participants were then randomized to OT/PT (CARE) or UC. CARE delivered individualized outpatient intervention; OT addressed functional activities, and PT strength/endurance needs. UC participants received a brochure on supportive care services. Primary outcome was functional status (Nottingham Extended Activities of Daily Living Scale [NEADL] (range 0-22)) and secondary outcomes were global Mental and Physical Health, and ability to participate in Social Roles (SR) and activities (Patient-Reported Outcomes Measurement Information System [PROMIS] (range 0-100)), for all measures, higher scores indicate better health. We used t-tests to compare groups. Results: 51 adults were randomized: median age 73 years, 55% male, 92% White, 33% with Leukemia/lymphoma, 26% Breast, 22% Colorectal, 67% in active treatment, and 37% with Stage 3 or 4. After 3 months, both groups experienced a significant decline in functional status ( p = .046; p = .005), but change in functional status (-1.5 UC, -1.1 CARE, p = .637) , physical health status (0.0 UC, 2.4 CARE, p = .121) and participation in SR (.11 in UC, 3.71 CARE, p = .088) between UC and CARE were not significant. However, change in mental health (-1.0 in UC, 3.0 CARE, p= .032) significantly different between groups. Conclusions: CARE was associated with a significant improvement in participant’s mental health status compared to a decline in UC. Results suggest CARE may influence ability to participate in social roles and activities and physical health, but further study is needed with larger sample sizes. We demonstrated that for older adults with cancer, OT/PT are promising interventions to improve mental health. Clinical trial information: NCT02306252.


2006 ◽  
Vol 27 (2) ◽  
pp. 125-139 ◽  
Author(s):  
Kenneth D. Phillips ◽  
Kathryn S. Mock ◽  
Christopher M. Bopp ◽  
Wesley A. Dudgeon ◽  
Gregory A. Hand

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