{"title":"基于s3c -潜算法的老年人日常生活自理因素因果关系分析","authors":"Nurhaeka Tou, R. Rahmadi, C. Effendy","doi":"10.29099/IJAIR.V5I1.206","DOIUrl":null,"url":null,"abstract":"The growth of the elderly population in Indonesia from year to year has always increased, followed by the problem of decreasing physical strength and psychological health of the elderly. These problems can affect the increase in dependence and decrease the independence of the elderly in ADL. In previous studies, various factors affect independence in ADLs such as cognitive, psychological, economic, nutrition, and health. However, In general, these studies only focus on predictive analysis or correlation of variables, and no research has attempted to identify the casual relationship of the elderly independence factors. Therefore, this study aimed to determine the mechanism of the causal relationship of the factors that influence the independence of the elderly in ADLs using a casual method called the Stable Specification Search for Cross-Sectional Data With Latent Variables (S3C-Latent). In this research we found strong causal and associative relationships between factors.The causal relationship of elderly independence in ADLs was influenced by cognitive, psychological, nutritional and health factors and gender with α values respectively (0.61; 0.61;1.00, 0.65;0.70). Cognitive factors associated with psychological, economic, nutrition, and health with a value of α (0.77; 1.00; 1.00; 0.64). Furthermore, psychological factors associated with economy, nutrition, and health with a value of α (0.77; 0.95; 0.63). Bisides, economic factors are associated with nutrition and health with α values of ( 0.86; 0.75) and nutrition with health with α values of 0.64. The last association was found between nutritional factors and gender with a value of α 0.76. This research is expected to increase the independence of the elderly in carrying out daily activities.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"300 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Causal Relations of Factors Representing the Elderly Independence in Doing Activities of Daily Livings Using S3C-Latent Algorithm\",\"authors\":\"Nurhaeka Tou, R. Rahmadi, C. Effendy\",\"doi\":\"10.29099/IJAIR.V5I1.206\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The growth of the elderly population in Indonesia from year to year has always increased, followed by the problem of decreasing physical strength and psychological health of the elderly. These problems can affect the increase in dependence and decrease the independence of the elderly in ADL. In previous studies, various factors affect independence in ADLs such as cognitive, psychological, economic, nutrition, and health. However, In general, these studies only focus on predictive analysis or correlation of variables, and no research has attempted to identify the casual relationship of the elderly independence factors. Therefore, this study aimed to determine the mechanism of the causal relationship of the factors that influence the independence of the elderly in ADLs using a casual method called the Stable Specification Search for Cross-Sectional Data With Latent Variables (S3C-Latent). In this research we found strong causal and associative relationships between factors.The causal relationship of elderly independence in ADLs was influenced by cognitive, psychological, nutritional and health factors and gender with α values respectively (0.61; 0.61;1.00, 0.65;0.70). Cognitive factors associated with psychological, economic, nutrition, and health with a value of α (0.77; 1.00; 1.00; 0.64). Furthermore, psychological factors associated with economy, nutrition, and health with a value of α (0.77; 0.95; 0.63). Bisides, economic factors are associated with nutrition and health with α values of ( 0.86; 0.75) and nutrition with health with α values of 0.64. The last association was found between nutritional factors and gender with a value of α 0.76. 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引用次数: 1
摘要
印尼老年人口逐年增长,随之而来的是老年人体力和心理健康下降的问题。这些问题会影响ADL中老年人依赖性的增加和独立性的降低。在以往的研究中,影响adl独立性的因素包括认知、心理、经济、营养和健康等。然而,总体而言,这些研究仅侧重于预测分析或变量的相关性,没有研究试图确定老年人独立因素之间的因果关系。因此,本研究旨在通过一种随机的方法,即sgc -Latent (Stable Specification Search for Cross-Sectional Data With Latent Variables),来确定影响ADLs中老年人独立性的因素之间因果关系的机制。在这项研究中,我们发现因素之间存在很强的因果关系和关联关系。ADLs患者老年独立性的因果关系受认知因素、心理因素、营养健康因素和性别的影响,α值分别为(0.61;0.61, 1.00, 0.65, 0.70)。认知因素与心理、经济、营养和健康相关,值为α (0.77;1.00;1.00;0.64)。此外,心理因素与经济、营养和健康相关,其值为α (0.77;0.95;0.63)。此外,经济因素与营养和健康相关,α值为(0.86;0.75),营养与健康的关系α值为0.64。营养因子与性别的相关性最高,为α 0.76。这项研究有望提高老年人进行日常活动的独立性。
Causal Relations of Factors Representing the Elderly Independence in Doing Activities of Daily Livings Using S3C-Latent Algorithm
The growth of the elderly population in Indonesia from year to year has always increased, followed by the problem of decreasing physical strength and psychological health of the elderly. These problems can affect the increase in dependence and decrease the independence of the elderly in ADL. In previous studies, various factors affect independence in ADLs such as cognitive, psychological, economic, nutrition, and health. However, In general, these studies only focus on predictive analysis or correlation of variables, and no research has attempted to identify the casual relationship of the elderly independence factors. Therefore, this study aimed to determine the mechanism of the causal relationship of the factors that influence the independence of the elderly in ADLs using a casual method called the Stable Specification Search for Cross-Sectional Data With Latent Variables (S3C-Latent). In this research we found strong causal and associative relationships between factors.The causal relationship of elderly independence in ADLs was influenced by cognitive, psychological, nutritional and health factors and gender with α values respectively (0.61; 0.61;1.00, 0.65;0.70). Cognitive factors associated with psychological, economic, nutrition, and health with a value of α (0.77; 1.00; 1.00; 0.64). Furthermore, psychological factors associated with economy, nutrition, and health with a value of α (0.77; 0.95; 0.63). Bisides, economic factors are associated with nutrition and health with α values of ( 0.86; 0.75) and nutrition with health with α values of 0.64. The last association was found between nutritional factors and gender with a value of α 0.76. This research is expected to increase the independence of the elderly in carrying out daily activities.