Effects of group work programs on community-dwelling elderly people with age-associated cognitive decline and/or mild depressive moods: A Kahoku Longitudinal Aging Study

2005 ◽  
Vol 5 (4) ◽  
pp. 267-275 ◽  
Author(s):  
Kiyohito Okumiya ◽  
Yukari Morita ◽  
Masanori Nishinaga ◽  
Yasushi Osaki ◽  
Yoshinori Doi ◽  
...  
Author(s):  
Noah A. Schuster ◽  
Sascha de Breij ◽  
Laura A. Schaap ◽  
Natasja M. van Schoor ◽  
Mike J. L. Peters ◽  
...  

Abstract Purpose Delay of routine medical care during the COVID-19 pandemic may have serious consequences for the health and functioning of older adults. The aim of this study was to investigate whether older adults reported cancellation or avoidance of medical care during the first months of the COVID-19 pandemic, and to explore associations with health and socio-demographic characteristics. Methods Cross-sectional data of 880 older adults aged ≥ 62 years (mean age 73.4 years, 50.3% female) were used from the COVID-19 questionnaire of the Longitudinal Aging Study Amsterdam, a cohort study among community-dwelling older adults in the Netherlands. Cancellation and avoidance of care were assessed by self-report, and covered questions on cancellation of primary care (general practitioner), cancellation of hospital outpatient care, and postponed help-seeking. Respondent characteristics included age, sex, educational level, loneliness, depression, anxiety, frailty, multimorbidity and information on quarantine. Results 35% of the sample reported cancellations due to the COVID-19 situation, either initiated by the respondent (12%) or by healthcare professionals (29%). Postponed help-seeking was reported by 8% of the sample. Multimorbidity was associated with healthcare-initiated cancellations (primary care OR = 1.92, 95% CI = 1.09–3.50; hospital OR = 1.86, 95% CI = 1.28–2.74) and respondent-initiated hospital outpatient cancellations (OR = 2.02, 95% CI = 1.04–4.12). Depressive symptoms were associated with postponed help-seeking (OR = 1.15, 95% CI = 1.06–1.24). Conclusion About one third of the study sample reported cancellation or avoidance of medical care during the first months of the pandemic, and this was more common among those with multiple chronic conditions. How this impacts outcomes in the long term should be investigated in future research.


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.


2016 ◽  
Vol 91 ◽  
pp. 20-25 ◽  
Author(s):  
Yukiko Nishita ◽  
Chikako Tange ◽  
Makiko Tomida ◽  
Rei Otsuka ◽  
Fujiko Ando ◽  
...  

2004 ◽  
Vol 16 (3) ◽  
pp. 226-232 ◽  
Author(s):  
Hannie C. Comijs ◽  
Theo van Tilburg ◽  
Sandra W. Geerlings ◽  
Cees Jonker ◽  
Dorly J. H. Deeg ◽  
...  

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 660-660
Author(s):  
Joshua Ehrlich ◽  
Sandy Chien ◽  
Jinkook Lee

Abstract Vision impairment (VI) is associated with cognitive decline and dementia, however little research has been conducted in India. Using data from LASI-DAD, linear models tested the association of VI (better-seeing eye <20/60) with cognitive domains including orientation, learning/memory, language, attention, and total cognition. Models were adjusted for age, sex, geographic, and socioeconomic characteristics. VI was significantly associated with lower orientation (β=-0.47, p<.01), learning/memory (β=-4.6, p<.01), attention (β=-1.6, p<.01), and total cognition (β=-8.4, p<.01), but not language (β=-0.14, p<.1) scores. The association of VI with cognitive measures did not vary by sex. For each measure, VI was equivalent to 5-13 years of cognitive aging. In summary, VI is associated with poorer performance in most cognitive domains among older Indian adults. Longitudinal data are needed to determine directionality and causality. Since >80% of VI in India is treatable, poor vision may represent a modifiable risk factor for cognitive decline and dementia.


2018 ◽  
Vol 73 (suppl_1) ◽  
pp. S57-S64 ◽  
Author(s):  
Tessa N van den Kommer ◽  
Dorly J H Deeg ◽  
Wiesje M van der Flier ◽  
Hannie C Comijs

PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0136968 ◽  
Author(s):  
Li-Kuo Liu ◽  
Wei-Ju Lee ◽  
Liang-Yu Chen ◽  
An-Chun Hwang ◽  
Ming-Hsien Lin ◽  
...  

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