Gender-Based Analysis of Risk Factors for Dementia Using Senior Cohort

Abstract

Globally, one of the biggest problems with the increase in the elderly population is dementia. However, dementia still has no fundamental cure. Therefore, it is important to predict and prevent dementia early. For early prediction of dementia, it is crucial to find dementia risk factors that increase a person’s risk of developing dementia. In this paper, the subject of dementia risk factor analysis and discovery studies were limited to gender, because it is assumed that the difference in the prevalence of dementia in men and women will lead to differences in the risk factors for dementia among men and women. This study analyzed the Korean National Health Information System—Senior Cohort using machine-learning techniques. By using the machine-learning technique, it was possible to reveal a very small causal relationship between data that are ignored using existing statistical techniques. By using the senior cohort, it was possible to analyze 6000 data that matched the experimental conditions out of 558,147 sample subjects over 14 years. In order to analyze the difference in dementia risk factors between men and women, three machine-learning-based dementia risk factor analysis models were constructed and compared. As a result of the experiment, it was found that the risk factors for dementia in men and women are different. In addition, not only did the results include most of the known dementia risk factors, previously unknown candidates for dementia risk factors were also identified. We hope that our research will be helpful in finding new dementia risk factors.

Alcohol consumption, poor lifestyle choices, and air pollution worsen cognitive function in seniors: a cohort study in China

“…Furthermore, the unique lifestyle and dietary habits of the Hui people (non-smoking and alcohol consumption, high consumption of fish, eggs, and dairy foods, neighborhood interaction, and martial arts practice (Zang 2007)) may also be relevant. In addition, the study similarly yielded results on demographic characteristics consistent with previous studies (negative effects of female, higher age, stroke, and CVDs) (Choi et al 2020;Kapusta et al 2020;Wang et al 2020a). Healthy cognitive development relies on a benign environment.…”

Alcohol Consumption, Poor Lifestyle Choices and Air Pollution Worsen Cognitive Function in Seniors: a Cohort Study in China

“…In addition, the study similarly yielded results on demographic characteristics consistent with previous studies (negative effects of female, higher age, stroke and CVDs). [4,23,24] Healthy cognitive development relies on a benign environment. This is re ected not only in the living environment such as diet, exercise, and living conditions, but also in the atmospheric environment and the social environment such as education.…”

Medical Health Records-Based Mild Cognitive Impairment (MCI) Prediction for Effective Dementia Care

“…The NHIS is a quasi-governmental organization responsible for the public health of the whole Korean population, and it manages and operates the National Health Insurance (NHI), which protects the general public against the risk of disease, and the Long-Term Care Insurance, which aims to ensure a comfortable life in old age [10]. According to the NHIS, the number of Koreans covered by the NHI in 2019 was 51,391,447.…”

“…The Senior Cohort DB is a research dataset constructed to support research targeting older individuals [10,11]. In 2002, 10% of the 5.5 million subjects aged 60 years or older, who were eligible for NHI coverage or medical aid, were sampled using simple random sampling, resulting in construction of a database of about 550,000 older people from the Korean population [14].…”

“…For classification into dementia groups, five types of detailed group classification codes, which are "Dementia in Alzheimer's disease (F00)", "Vascular dementia (F01)", "Dementia in other diseases classified elsewhere (F02)", "Unspecified dementia (F03)", and "Alzheimer's disease (G30)", were used. These codes, which have been used in several previous studies on dementia, were used in the classification in this study (Table 1) [10,11,17].…”