Prevalence and related influencing factors of depression symptoms among empty-nest older adults in China

2020 ◽  
Vol 91 ◽  
pp. 104183 ◽  
Author(s):  
Guogui Huang ◽  
Yuanyuan Duan ◽  
Fei Guo ◽  
Gong Chen
2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 428-428
Author(s):  
Caitlan Tighe ◽  
Ryan Brindle ◽  
Sarah Stahl ◽  
Meredith Wallace ◽  
Adam Bramoweth ◽  
...  

Abstract Prior studies link specific sleep parameters to physical functioning in older adults. Recent work suggests the utility of examining sleep health from a multidimensional perspective, enabling consideration of an individual’s experience across multiple different sleep parameters (e.g., quality, duration, timing). We examined the associations of multidimensional sleep health with objective, performance-based measures of physical functioning in older adults. We conducted a secondary analysis of 158 adults (Mage=71.8 years; 51.9% female) who participated in the Midlife in the United States (MIDUS) 2 and MIDUS Refresher studies. We used data from daily diaries, wrist actigraphy, and self-report measures to derive a composite multidimensional sleep health score ranging from 0-6, with higher scores indicating better sleep health. Physical function was assessed using gait speed during a 50-foot timed walk, lower extremity strength as measured by a chair stand test, and grip strength assessed with dynamometers. We used hierarchical regression to examine the associations between sleep health and gait speed, lower extremity strength, and grip strength. Age, sex, race, education, depression symptoms, medical comorbidity, and body mass index were covariates in each model. In adjusted analyses, better multidimensional sleep health was significantly associated with faster gait speed (B=.03, p=.01). Multidimensional sleep health was not significantly associated with lower limb strength (B=-.12, p=.89) or grip strength (B=.45, p=.40). Gait speed is a key indicator of functional capacity as well as morbidity and mortality in older adults. Multidimensional sleep health may be a therapeutic target for improving physical functioning and health in older adults.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Junhong Yu ◽  
Rathi Mahendran

AbstractThe COVID-19 lockdown has drastically limited social interactions and brought about a climate of fear and uncertainty. These circumstances not only increased affective symptoms and social isolation among community dwelling older adults but also alter the dynamics between them. Using network analyses, we study the changes in these dynamics before and during the lockdown. Community-dwelling older adults (N = 419) completed questionnaires assessing depression, anxiety, and social isolation, before the COVID-19 pandemic, as part of a cohort study, and during the lockdown period. The total scores of these questionnaires were compared across time. For the network analyses, partial correlation networks were constructed using items in the questionnaires as nodes, separately at both timepoints. Changes in edges, as well as nodal and bridge centrality were examined across time. Depression and anxiety symptoms, and social isolation had significantly increased during the lockdown. Significant changes were observed across time on several edges. Greater connectivity between the affective and social isolation nodes at lockdown was observed. Depression symptoms have become more tightly coupled across individuals, and so were the anxiety symptoms. Depression symptoms have also become slightly decoupled from those of anxiety. These changing network dynamics reflect the greater influence of social isolation on affective symptoms across individuals and an increased vulnerability to affective disorders. These findings provide novel perspectives and translational implications on the changing mental health context amidst a COVID-19 pandemic situation.


2020 ◽  
Vol 32 (S1) ◽  
pp. 116-116
Author(s):  
M Pires ◽  
A Antunes ◽  
C Gameiro ◽  
C Pombo

Community-focused programs that promote active and healthy aging can help preserve cognitive capacities, prevent or reverse cognitive deficits. Computer-based cognitive training (CCT) is a promising non-pharmacological, cost -effective and accessible intervention to face the effects of age-related cognitive decline. Previous studies proved CCT to have equal or better efficacy compared to traditional interventions. This comparative multifactorial study aims to test the efficacy of a CCT in a non-randomized community sample of 74 older adults: G1-CCT Experimental group (n=43) (Mean age M=72.21, SD=12.65) and G2- Paper-Pencil Control group (n=31; M=77.94, SD=10.51). Pensioners (97.3%), mostly women (83.8 %) with basic education (51.4%) and without dementia diagnosis, completed a cognitive training program of 17 or 34 group sessions (twice a week). G2 undertook a classic cognitive paper-pencil stimuli tasks. G1, performed, additionally, individual CCT with COGWEB® in a multimodal format (intensive training of attention, calculation, memory, gnosis, praxis, executive functions). Both groups completed Portuguese versions of Mini -Mental State Examination (MMSE),Montreal Cognitive Assessment (MOCA); Geriatric Depressive Scale (GDS); Mini Dependence Assessment (MDA); WHOOQL 5 and Social Support Satisfaction Scale (ESSS) before and after participating in the program. Both groups reported better post-test scores on basic cognitive functions (MMSE, MOCA), Depression symptoms (GDS-30), subjective well-being and quality of life (WHOOQL-5). G1 presented higher MOCA and lower GDS scores before and after CCT, although, group differences become less expressive when interaction effects are considered. Results are in line with findings from past studies, CCT supported by the new technologies, is as a relevant cost-effective therapeutic tool for health professionals working with older adults. Particularly for preventive purposes of neuro-cognitive disorders.


2021 ◽  
Author(s):  
Xiaonan Hao ◽  
Manman Li ◽  
Jing Li ◽  
Miaohua Lv ◽  
Yuan Qin ◽  
...  

2016 ◽  
Vol 17 (1) ◽  
pp. 13-23 ◽  
Author(s):  
Haesang Jeon ◽  
James Lubben

Objectives: The current cross-cultural study examines the pathways underlying different formations of social networks and social support systems, which affect depression symptoms among older Korean immigrants and non-Hispanic Whites in the United States.Method: Data for this study came from a panel survey of 223 older Korean American immigrants and 201 non-Hispanic White older adults 65 years of age and older living in Los Angeles. Structural equation modeling (SEM) is used to test the proposed conceptual model designed to explain the direct and indirect relationships between social networks and social support on depression symptoms.Results: Empirical evidence from this study indicated different effect of one’s social networks and social support on depression by race/ethnicity.Discussion: The work discussed in this article pointed to the need to recognize the role of culture in assessing the relationships between social networks, social support, and health among older adults.


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