Mediating effect of post-stroke depression between activities of daily living and health-related quality of life: meta-analytic structural equation modeling

Li, Jia; Lv, Runtian; Kuang, Jinke; Zhou, Kexin; Xu, Mengfan

doi:10.1007/s11136-022-03225-9

Cited by 10 publications

(9 citation statements)

References 55 publications

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“…The correlation between sleep quality and ADL aligns with existing research. Previous studies have also demonstrated that impaired independence in ADL among older adults may increase their vulnerability to developing depressive symptoms 16,[54][55][56] . Older adults with diminished capacity to perform daily activities were restricted in their engagement with the environment, limiting social interactions and information exchange, which can culminate in the accumulation of negative emotions and the onset of depression 57,58 .…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, sleep issues can contribute to conditions like hypertension, diabetes, and obesity 11 , 12 , as well as restrict activities of daily living (ADL) 13 , consequently impacting the HRQOL of older adults. Previous studies have established the link between sleep quality and HRQOL 14 , 15 , with emerging evidence suggesting that depression may be a significant factor in this relationship 16 . A study centered on older Chinese adults revealed a connection between sleep quality and symptoms of depression 17 .…”

Section: Introductionmentioning

confidence: 99%

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Mediating roles of activities of daily living and depression on the relationship between sleep quality and health-related quality of life

Ren,

Zhao,

Fang

et al. 2024

Sci Rep

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This study aimed to explore the mediating effects of ADL and depression on the relationship between sleep quality and HRQOL among older people in rural China, while also exploring the moderating impact of loneliness. The study gathered data from a household survey conducted among 1587 Chinese rural older adults (mean age = 73.63 years). The collected data was analyzed using SPSS version 23.0 software (IBM, New York, USA) and the PROCESS macro version 4.0 program. The findings indicated a significant correlation between sleep quality, ADL, depression, loneliness and HRQOL. ADL and depression exhibited a chain mediation effect on the relationship between sleep quality and HRQOL. Notably, the association between sleep quality and HRQOL was entirely mediated by ADL and depression. Additionally, loneliness acted as a moderator in the relationship between ADL and HRQOL. The findings of this study suggest that interventions focusing on sleep quality should prioritize strategies for enhancing older adults’ ADL and depression as integral components of promoting older adults’ HRQOL.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mediating roles of activities of daily living and depression on the relationship between sleep quality and health-related quality of life

Ren,

Zhao,

Fang

et al. 2024

Sci Rep

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“…The diagnosis relies on five criteria: the presence of depressed mood or anhedonia; symptoms that are pathophysiologically related to stroke; symptoms not better explained by other psychiatric disorders; disturbances not exclusively occurring in the presence of delirium; and symptoms causing significant distress or impairment. PSD exhibits distinctive features; stroke survivors suffering from depression not only have higher mortality rates but also experience poorer recovery, reduced quality of life, and increased stroke recurrence (Medeiros et al ., 2020; Li et al ., 2023; Liao et al ., 2023). They also perform poorly in activities of daily living, experience cognitive impairments, face sleep disturbances, lose interest in pleasurable activities, and have limited access to social support, compared to stroke patients without depression (Medeiros et al ., 2020; Liao et al ., 2023).…”

Section: Diagnosismentioning

confidence: 99%

A comprehensive overview of post-stroke depression treatment options

Raggi,

Serretti,

Ferri

2023

International Clinical Psychopharmacology

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Nearly one-third of all stroke patients develop depression at any time after a stroke, and its presence is associated with unfavorable outcomes. This narrative review aims to provide a synopsis of possible pharmacological and non-pharmacological treatment modalities for post-stroke depression (PSD). Several studies have demonstrated the efficacy and safety of selective serotonin reuptake inhibitors in treating the symptoms of this clinical condition. The treatment of PSD has been recently enhanced by innovative approaches, such as cognitive-behavioral therapy, virtual reality, telehealth, repetitive transcranial magnetic stimulation, and non-conventional therapies, which might improve depression treatment in stroke survivors. Future high-quality randomized controlled trials are necessary to confirm this hypothesis.

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“…Encouraging patients to improve their ADL is a crucial measure in the rehabilitation of EPs, as enhancing ADL can aid patients in returning to normal life and stabilizing their emotions ( 21 ). In stroke rehabilitation, as patients’ physical abilities improve, activities such as independent eating, walking, and climbing stairs can alleviate EPs resulting from stroke sequelae ( 22 , 23 ).…”

Section: Introductionmentioning

confidence: 99%

Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health

Guo,

Xu,

et al. 2024

Front. Public Health

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BackgroundEPs pose significant challenges to individual health and quality of life, attracting attention in public health as a risk factor for diminished quality of life and healthy life expectancy in middle-aged and older adult populations. Therefore, in the context of global aging, meticulous exploration of the factors behind emotional issues becomes paramount. Whether ADL can serve as a potential marker for EPs remains unclear. This study aims to provide new evidence for ADL as an early predictor of EPs through statistical analysis and validation using machine learning algorithms.MethodsData from the 2018 China Health and Retirement Longitudinal Study (CHARLS) national baseline survey, comprising 9,766 samples aged 45 and above, were utilized. ADL was assessed using the BI, while the presence of EPs was evaluated based on the record of “Diagnosed with Emotional Problems by a Doctor” in CHARLS data. Statistical analyses including independent samples t-test, chi-square test, Pearson correlation analysis, and multiple linear regression were conducted using SPSS 25.0. Machine learning algorithms, including Support Vector Machine (SVM), Decision Tree (DT), and Logistic Regression (LR), were implemented using Python 3.10.2.ResultsPopulation demographic analysis revealed a significantly lower average BI score of 65.044 in the “Diagnosed with Emotional Problems by a Doctor” group compared to 85.128 in the “Not diagnosed with Emotional Problems by a Doctor” group. Pearson correlation analysis indicated a significant negative correlation between ADL and EPs (r = −0.165, p < 0.001). Iterative analysis using stratified multiple linear regression across three different models demonstrated the persistent statistical significance of the negative correlation between ADL and EPs (B = −0.002, β = −0.186, t = −16.476, 95% CI = −0.002, −0.001, p = 0.000), confirming its stability. Machine learning algorithms validated our findings from statistical analysis, confirming the predictive accuracy of ADL for EPs. The area under the curve (AUC) for the three models were SVM-AUC = 0.700, DT-AUC = 0.742, and LR-AUC = 0.711. In experiments using other covariates and other covariates + BI, the overall prediction level of machine learning algorithms improved after adding BI, emphasizing the positive effect of ADL on EPs prediction.ConclusionThis study, employing various statistical methods, identified a negative correlation between ADL and EPs, with machine learning algorithms confirming this finding. Impaired ADL increases susceptibility to EPs.

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Mediating effect of post-stroke depression between activities of daily living and health-related quality of life: meta-analytic structural equation modeling

Cited by 10 publications

References 55 publications

Mediating roles of activities of daily living and depression on the relationship between sleep quality and health-related quality of life

Mediating roles of activities of daily living and depression on the relationship between sleep quality and health-related quality of life

A comprehensive overview of post-stroke depression treatment options

Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health

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