Exploring observed and instructed mHealth use in the middle-aged and elderly people (MAEP): A social learning perspective DOI Creative Commons
Kai Zeng, Lucong Dong, Yujing Xu

et al.

Digital Health, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

Based on social learning theory, this study aimed to explore the intention of middle-aged and elderly people (MAEP) engage with mobile health (mHealth) underlying effects usability utility. The goal was garner insights that could enhance advancement mHealth improve scope benefits use among MAEP in future.

Language: Английский

Enhancing Academic Performance Through Self-Explanation in Digital Learning Environments (DLEs): A Three-Level Meta-Analysis DOI
Liping Tan,

Shaoying Gong,

Yu‐Jie Wang

et al.

Educational Psychology Review, Journal Year: 2025, Volume and Issue: 37(1)

Published: March 1, 2025

Language: Английский

Citations

1
Machine Learning-Based Model for Prediction of Early Post-Stroke Fatigue in Patients With Stroke: A Longitudinal Study DOI
Yu Wu, Dong Zhou, Lovel Fornah

et al.

Neurorehabilitation and neural repair, Journal Year: 2025, Volume and Issue: unknown

Published: March 24, 2025

BackgroundPost-stroke fatigue, as one of the long-lasting physical and mental symptoms accompanying stroke survivors, will seriously affect daily living ability quality life patients.ObjectiveThe aim this study was to develop machine learning (ML) algorithms predict early post-stroke fatigue among patients with stroke.MethodsA longitudinal 702 followed for 3 months. Twenty-three clinical features were obtained from medical records questionnaires before discharge. Early assessed using Fatigue Severity Scale. The dataset randomly divided into a training group (70%) an internal validation (30%), applied oversampling, 10-fold cross-validation, grid search optimize hyperparameter. Feature selection Least Absolute Shrinkage Selection Operator (LASSO) regression. Sixteen ML performed in study. Accuracy, precision, recall, F1 score, area under receiver operating characteristic curve (AUC), brier score used evaluate models performance.ResultsAmong 16 algorithms, Bagging model optimal predicting (AUC = 0.8479, accuracy 0.7518, precision 0.5741, recall 0.7209, 0.6392, 0.1490). feature based on LASSO revealed that risk factors included anxiety, sleep, social support, family care, pain, depression, neural-functional defect, quit/no drinking, balance function, type stroke, sex, heart disease, smoking, hemiplegia.ConclusionsIn study, proved be effective fatigue.

Language: Английский

Citations

0
Risk Factors Impact for the Formation of Primary Organic Mental Disorders Complicated by Alcohol Dependence in Middle-aged and Aged DOI Creative Commons
R A Kardashian, A A Efremov

Psikhiatriya, Journal Year: 2025, Volume and Issue: 22(6), P. 63 - 71

Published: Feb. 24, 2025

Background: the economic and political transformations taking place today reduce adaptation, cause a variety of psychological reactions mental disorders, including organic psychic disorders (OPD). Elderly people are especially susceptible to these reforms emergence various disorders. Some persons resort drinking alcohol alleviate In connection with above, study problem formation alcoholism is very justified. The aim was: risk factors (RF) influencing development primary complicated by dependence in middle-aged elderly patients. Patients Methods: 83 male patients aged 67.5 ± 7.2 years (POPD) middle stage (AD) were included. Taking into account age parameter disease manifestation, divided 2 groups: 1st group included 49 (59%), 2nd 34 (41%), whom symptoms POPD appeared at 38.2 2.0 46.5 2.2 years, respectively, AD formed 53.8 1.2 66.8 0.9 respectively. Methods used: survey, clinical follow-up, statistical. Results: as result using “Anamnestic Card”, etiological RF for identified — internal biophysiological (nonspecific) (antenatal, intranatal, postnatal, closed TBI, chronic somatic diseases). Conclusion: influenced past TBI other exogenous-organic harms, combinations RF, hereditary burden line kinship, childhood diseases. determined quantity, possibly quality, diseases well TBI. progression combined onset number subsequent pathology.

Language: Английский

Citations

0
Intergenerational differences in the homestead policy cognition of farmers within the context of institutional change: empirical evidence from villages in Jiangxi province, China DOI Creative Commons
Ming Li,

Ni Zhan,

Ting Zhang

et al.

Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 15, 2025

Language: Английский

Citations

0
Beyond Traditional Assessments of Cognitive Impairment: Exploring the Potential of Spatial Navigation Tasks DOI Creative Commons
Giorgio Colombo, Karolina Minta, Tyler Thrash

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 14, 2024

Abstract INTRODUCTION Alzheimer’s disease affects spatial abilities that are often overlooked in standard cognitive screening tools. We assessed whether the navigation tasks Spatial Performance Assessment for Cognitive Evaluation (SPACE) can complement existing tools such as Montreal (MoCA). METHODS 348 participants aged 21-76 completed MoCA, SPACE, and sociodemographic- health questionnaires. Regressions were used to predict MoCA scores with risk factors SPACE predictors. also conducted a factor analysis investigate relationships among MoCA. RESULTS revealed significant effects of age, gender, tasks. No dementia predicted scores. The perspective taking contributed separate from other SPACE. Normative data provided. DISCUSSION Our findings highlight importance assessment early detection impairment.

Language: Английский

Citations

1
Effects of Depressive Symptoms on Cognitive Impairment among older adults in China: A mediation analysis of Proactive Health DOI
Yilin Li, Ziyi Cheng, Renfu Li

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: July 18, 2024

Abstract Background Cognitive impairment has become a major public health issue. Depressive symptoms and cognitive are closely related disorders in the aging population. However, effect of proactive on association between depressive was not clear. This study aimed to examine mediating role impairment. Methods population-based cross-sectional recruited 3607 participants aged 60 above from China Health Retirement Longitudinal Study. Direct relationships symptoms, health, were analyzed using multiple logistic regression. The bootstrap method used test Results After adjusting confounders, group (OR 1.223, 95% CI, 1.047-1.429) depression 1.892, 1.401-2.554) had an increased risk impairment, while those who fair literacy 0.668, 0.499-0.895) good 0.498, 0.358-0.694) decreased mediation accounted for 6.47 % total regarding with Conclusions revealed that only directly influenced among older adults but also indirectly via health. Exercise should be encouraged elderly promote their participation social activities, thereby improving ultimately preventing

Language: Английский

Citations

0
Exploring observed and instructed mHealth use in the middle-aged and elderly people (MAEP): A social learning perspective DOI Creative Commons
Kai Zeng, Lucong Dong, Yujing Xu

et al.

Digital Health, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

Based on social learning theory, this study aimed to explore the intention of middle-aged and elderly people (MAEP) engage with mobile health (mHealth) underlying effects usability utility. The goal was garner insights that could enhance advancement mHealth improve scope benefits use among MAEP in future.

Language: Английский

Citations

0