scholarly journals Reliabilities of mean and variability of ambulatory pain among community dwelling older adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 892-892
Author(s):  
Jinshil Hyun ◽  
Jiyue Qin ◽  
Cuiling Wang ◽  
Mindy Katz ◽  
Jelena Pavlovic ◽  
...  

Abstract Individual’s pain experiences vary substantially over time periods, and the variability in pain may be an important metric to predict health consequences. However, research on its reliability is lacking among older adults. We aimed to examine the reliabilities of both intra-individual mean (IIM) and intra-individual variability (IIV) of subjective pain reports assessed using ecological momentary assessments (EMA) among racially diverse, community dwelling older adults. Participants were from the Einstein Aging Study (N=311, age=70-91) and completed a 14-day EMA protocol which included self-reports of pain intensity 6 times a day. Pain IIV was quantified using intraindividual standard deviation (iSD). We followed Wang and Grimm(2012)’s approach to calculate the reliability of IIM and IIV. Over a 2-week period, we found excellent reliabilities for both pain IIM (.99) and pain IIV (.91), showing that these measures are reliable and can be used to link with various health outcomes among community dwelling older adults. We also estimated the average number of assessments that produce acceptable levels of reliability. The average of 2 assessments for pain IIM and 23 assessments for pain IIV produced values that exceeded reliability score of .80, suggesting that a briefer study design may be used to reduce participants’ burden with reliable pain metrics. Future studies need to examine whether pain IIV is associated with cognitive, emotional, and physical health among older adults and whether intervention studies that target to reduce pain IIV improve health consequences.

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 461-462
Author(s):  
Ruixue Zhaoyang ◽  
Stacey Scott ◽  
Karra Harrington ◽  
Martin Sliwinski

Abstract Loneliness is prevalent among older adults and is associated with increased risks for morbidity and mortality. This study examined what types of social interactions could reduce loneliness for older adults and who would benefit the most from social interactions. We used data from 312 community-dwelling older adults (aged 70 to 90 years) who completed ecological momentary assessments (EMA) five times a day for 16 consecutive days using smartphones (n=20,507 reports), as part of the ongoing Einstein Aging Study (EAS). At each EMA, participants reported their social interactions in the past 3 to 4 hours and their current feelings of loneliness. Results from multilevel models revealed that older adults reported lower levels of loneliness on occasions when they had pleasant social interactions (p<.000) or interactions with family (p=.001) in the past few hours, compared with occasions when they had no social interaction. In contrast, they reported higher levels of loneliness if they had unpleasant social interactions in the past few hours (p=.004). These within-person (WP) effects of social interactions on momentary loneliness were significantly moderated by participants’ trait levels of loneliness and neuroticism; and were significantly stronger among those with higher (vs. lower) trait loneliness (ps <.001) or neuroticism (ps <.042). Other personality traits (Extraversion, Openness, Conscientiousness, Agreeableness) did not moderate any WP association. These results highlight the importance of having pleasant social interactions and frequent interactions with family for reducing older adults’ loneliness in daily life, especially for those higher in trait loneliness and neuroticism.


Author(s):  
Mariana Barragán-García ◽  
Ricardo Ramírez-Aldana ◽  
Mariana López-Ortega ◽  
Sergio Sánchez-García ◽  
Carmen García-Peña

2020 ◽  
Vol 32 (12) ◽  
pp. 2677-2685
Author(s):  
Danyi Chi ◽  
Ding Ding ◽  
Qianhua Zhao ◽  
Xiaoniu Liang ◽  
Wanqing Wu ◽  
...  

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 598-598
Author(s):  
Ruixue Zhaoyang ◽  
Eric Cerino ◽  
Stacey Scott

Abstract Early detection of cognitive decline and mild cognitive impairment (MCI) during the pre-symptomatic phase of Alzheimer’s disease is particularly important for maximizing effectiveness of clinical trials and efficiency of resource allocation. However, it is difficult to distinguish early signs of decline and impairment from normative aging, especially with biomarkers and clinical-based assessments that are expensive and challenging to apply widely. Ambulatory assessments in naturalistic settings provide opportunities to capture everyday markers of cognitive decline and offer cost-effective tools for sensitive, early detection of transitions to MCI in community-dwelling older adults. In this symposium, we present four studies that use ecological momentary assessment (EMA) data from the Einstein Aging Study to showcase how everyday markers of behavioral and social functioning assessed up to six times a day for 14 consecutive days can facilitate early detection of cognitive difficulties. Zhaoyang et al. examine whether older adults with intact cognition versus MCI differ in patterns of daily social interactions. Hyun et al. investigate how the diversity of daily activities is associated with ambulatory cognitive deficits. Cerino et al. compare the sensitivity of everyday markers of stress versus global trait-based stress measures to detect MCI. Roque et al. use completion time from EMA surveys as a reliable and unobtrusive way to measure cognition and distinguish those with and without MCI. Stacey Scott will integrate insights gained from these four papers, and discuss the opportunities and challenges faced when combining ambulatory assessments of everyday markers with traditional methods to better detect cognitive decline and impairment.


2020 ◽  
Vol 75 (7) ◽  
pp. 1443-1450
Author(s):  
Mirnova E Ceïde ◽  
Alana Warhit ◽  
Emmeline I Ayers ◽  
Gary Kennedy ◽  
Joe Verghese

Abstract Objectives Apathy is a potential predictor of dementia in older adults, but this investigation has been limited to older adults with a preexisting neurological illness like mild cognitive impairment (MCI), stroke or Parkinson’s disease. The objective of this study was to investigate the association between apathy at baseline and incident predementia syndromes, including MCI and motoric cognitive risk syndrome (MCR), subjective cognitive complaints and slow gait, in community-dwelling older adults. Method We prospectively studied the association between apathy (using the 3-item subscale of the Geriatric Depression Scale [GDS3A]) and incident cognitive disorders in 542 community-dwelling older adults enrolled in the Central Control of Mobility in Aging study using Cox proportional hazard models. Associations were reported as hazard ratio (HR) with 95% confidence intervals (CIs), adjusting for age, education, baseline cognitive performance, and depressive symptoms. Results Apathy was associated with incident MCR (HR 2.39, 95% CI: 1.10–5.20), but not predementia syndromes overall nor MCI. In sensitivity analyses of MCI subtypes, apathy was associated with nonamnestic MCI (HR 2.44, 95% CI: 1.14–5.22), but not amnestic MCI. Our study was limited by a short follow-up time (median 13.6 months; interquartile range 29.8) and a brief subscale measurement of apathy, GDS3A. Discussion In our study, apathy predicted MCR but not MCI in community-dwelling older adults. These results and the current literature suggest that apathy is an early risk factor for dementia. Additionally, apathy may be a novel treatment target that could forestall the disability of dementia.


2019 ◽  
Vol 20 (1) ◽  
pp. 43-46.e2 ◽  
Author(s):  
Médéa Locquet ◽  
Charlotte Beaudart ◽  
Manon Hajaoui ◽  
Jean Petermans ◽  
Jean-Yves Reginster ◽  
...  

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