Alcohol consumption, smoking, and risk of dementia in community-dwelling Japanese people aged 40–74 years: The Murakami cohort study

Kawakami, Shugo; Yamato, Ren; Kitamura, Kaori; Watanabe, Yumi; Kabasawa, Keiko; Takahashi, Akemi; Saito, Toshiko; Kobayashi, Ryosaku; Oshiki, Rieko; Takachi, Ribeka; Tsugane, Shoichiro; Yamazaki, Osamu; Watanabe, Kei; Nakamura, Kazutoshi

doi:10.1016/j.maturitas.2023.107788

Maturitas

2023

DOI: 10.1016/j.maturitas.2023.107788

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Alcohol consumption, smoking, and risk of dementia in community-dwelling Japanese people aged 40–74 years: The Murakami cohort study

Shugo Kawakami,

Ren Yamato,

Kaori Kitamura

et al.

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2024

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Cited by 7 publications

References 27 publications

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Prevalence and risk factors for Alzheimer’s disease and related dementias in Ghana: evidence from a cross-sectional population-based study

Okyere,

Appiah-Brempong,

Singh

et al. 2024

Cogent Public Health

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Prevalence and risk factors for Alzheimer’s disease and related dementias in Ghana: evidence from a cross-sectional population-based study

Okyere,

Appiah-Brempong,

Singh

et al. 2024

Cogent Public Health

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Literature Review on the Effectiveness and Required Dosages of Cognitive Interventions for Older Adults

Winningham,

Pacheco

2024

Topics in Geriatric Rehabilitation

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Objective: The purpose of this article is to review interventions that have been shown to improve cognitive abilities in older adults, including aerobic training, resistance training, yoga, tai chi, dual tasking, and meditation. The purpose of this article is to identify findings that can lead to recommendations regarding optimal dosages of the above interventions. Methods: This literature review relied heavily on meta-analyses that combined data from randomized controlled studies in order to identify interventions that reliably produce meaningful improvements in cognition. In addition, the meta-analyses were used to find dosage recommendations that appeared when similar studies were analyzed. Conclusions: There is ample evidence that various physical exercise and cognitive stimulation interventions can lead to meaningful improvements in cognition. The results often vary as a function of the participants’ cognitive abilities and presence of cognitive impairment or dementia. In many cases, it is possible to begin making recommendations in terms of the length of sessions and the length of interventions for various populations.

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Classification of Alzheimer’s dementia EEG signals using deep learning

Sen,

Cura,

Yilmaz

et al. 2024

Transactions of the Institute of Measurement and Control

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Alzheimer’s dementia (AD) is a predominant neurological disorder arising from corruptions in brain functions and is characterized by a chronic or progressive nature. While the precise etiology of dementia remains incompletely elucidated, its manifestation is frequently associated with discernible structural and chemical alterations in the brain. Living with dementia significantly impacts individuals’ daily lives due to the resultant loss of cognitive functions. This study presents a novel method to monitor and detect AD using advanced signal processing applied to electroencephalography (EEG) signals. The intrinsic time-scale decomposition (ITD) algorithm is employed to extract proper rotation components (PRCs) from EEG signals, utilizing a 5-second EEG segment duration. The proposed method is compared with the detection of 5-second raw EEG segments using a custom one-dimensional convolutional neural network (1D CNN). Additionally, four different quartiles (Quartile 1 (Q1), Q2, Q3, and Q4) of EEG signals are considered to identify the most significant contributor to AD. Experimental results demonstrate that the ITD-based approach yields better detection performance compared to using raw EEG signals. The most promising result is achieved by the EEG-PRCs method in Q1, with an accuracy of 94.00%, sensitivity of 93.50%, and specificity of 93.90%. In contrast, the highest-performing result of the raw EEG segments method is in Q2, with an accuracy of 88.40%, sensitivity of 89.10%, and specificity of 87.60% in terms of detecting AD.

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Alcohol consumption, smoking, and risk of dementia in community-dwelling Japanese people aged 40–74 years: The Murakami cohort study

Cited by 7 publications

References 27 publications

Prevalence and risk factors for Alzheimer’s disease and related dementias in Ghana: evidence from a cross-sectional population-based study

Prevalence and risk factors for Alzheimer’s disease and related dementias in Ghana: evidence from a cross-sectional population-based study

Literature Review on the Effectiveness and Required Dosages of Cognitive Interventions for Older Adults

Classification of Alzheimer’s dementia EEG signals using deep learning

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