{"title":"印度尼西亚老年人残疾:空间和社会人口相关性分析","authors":"Puguh Prasetyoputra, A. Prasojo","doi":"10.3390/IECGCM-1-06167","DOIUrl":null,"url":null,"abstract":"Disability is more prevalent among the elderly. However, evidence on the factors associated with disability among them is limited. Therefore, this paper addresses the spatial and socio-demographic correlates of disability among individuals aged 60 and over in Indonesia. We employ data from the 2013 Indonesian National Socioeconomic Survey (SUSENAS). We defined disability as having any difficulties in doing daily activities using the ‘Low Threshold’ assumption. We fitted a multivariable logistic regression model to the dataset and evaluated statistical significance at the 95% level. The final regression model is statistically significant (P<0.001) with a sample of 23,709 individuals. The results show that 45.35% of the elderly reported being disabled. Moreover, higher age is associated with higher odds of being disabled (OR = 1.16; 95%; 95% CI = 1.10-1.23). An elderly living without a spouse is more likely to be disabled (OR = 1.54; 95% CI = 1.43-1.64). We also observed provincial differences in disabilities. Furthermore, elderly living in rural areas have higher odds of being disabled (OR = 1.18; 95% CI = 1.12-1.25) compared to their urban counterparts. Our results imply that the Indonesian elderly with certain characteristics are more vulnerable than others which requires long term care.","PeriodicalId":301449,"journal":{"name":"Proceedings of 1st International Electronic Conference on Geriatric Care Models","volume":"08 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Disability among the Elderly in Indonesia: An Analysis of Spatial and Socio-demographic Correlates\",\"authors\":\"Puguh Prasetyoputra, A. Prasojo\",\"doi\":\"10.3390/IECGCM-1-06167\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Disability is more prevalent among the elderly. However, evidence on the factors associated with disability among them is limited. Therefore, this paper addresses the spatial and socio-demographic correlates of disability among individuals aged 60 and over in Indonesia. We employ data from the 2013 Indonesian National Socioeconomic Survey (SUSENAS). We defined disability as having any difficulties in doing daily activities using the ‘Low Threshold’ assumption. We fitted a multivariable logistic regression model to the dataset and evaluated statistical significance at the 95% level. The final regression model is statistically significant (P<0.001) with a sample of 23,709 individuals. The results show that 45.35% of the elderly reported being disabled. Moreover, higher age is associated with higher odds of being disabled (OR = 1.16; 95%; 95% CI = 1.10-1.23). An elderly living without a spouse is more likely to be disabled (OR = 1.54; 95% CI = 1.43-1.64). We also observed provincial differences in disabilities. Furthermore, elderly living in rural areas have higher odds of being disabled (OR = 1.18; 95% CI = 1.12-1.25) compared to their urban counterparts. Our results imply that the Indonesian elderly with certain characteristics are more vulnerable than others which requires long term care.\",\"PeriodicalId\":301449,\"journal\":{\"name\":\"Proceedings of 1st International Electronic Conference on Geriatric Care Models\",\"volume\":\"08 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1st International Electronic Conference on Geriatric Care Models\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/IECGCM-1-06167\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1st International Electronic Conference on Geriatric Care Models","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/IECGCM-1-06167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
残疾在老年人中更为普遍。然而,关于其中与残疾有关的因素的证据有限。因此,本文讨论了印度尼西亚60岁及以上人群残疾的空间和社会人口相关关系。我们采用了2013年印尼国家社会经济调查(SUSENAS)的数据。我们使用“低阈值”假设将残疾定义为在日常活动中有任何困难。我们对数据集拟合了多变量logistic回归模型,并在95%水平上评估了统计显著性。最终的回归模型在23,709个人的样本中具有统计学意义(P<0.001)。结果显示,45.35%的老年人报告残疾。此外,年龄越大,残疾的几率越大(OR = 1.16;95%;95% ci = 1.10-1.23)。无配偶生活的老年人更容易残疾(OR = 1.54;95% ci = 1.43-1.64)。我们还观察到各省在残疾方面的差异。此外,生活在农村地区的老年人残疾的几率更高(OR = 1.18;95% CI = 1.12-1.25)。我们的研究结果表明,具有某些特征的印度尼西亚老年人比其他需要长期护理的老年人更脆弱。
Disability among the Elderly in Indonesia: An Analysis of Spatial and Socio-demographic Correlates
Disability is more prevalent among the elderly. However, evidence on the factors associated with disability among them is limited. Therefore, this paper addresses the spatial and socio-demographic correlates of disability among individuals aged 60 and over in Indonesia. We employ data from the 2013 Indonesian National Socioeconomic Survey (SUSENAS). We defined disability as having any difficulties in doing daily activities using the ‘Low Threshold’ assumption. We fitted a multivariable logistic regression model to the dataset and evaluated statistical significance at the 95% level. The final regression model is statistically significant (P<0.001) with a sample of 23,709 individuals. The results show that 45.35% of the elderly reported being disabled. Moreover, higher age is associated with higher odds of being disabled (OR = 1.16; 95%; 95% CI = 1.10-1.23). An elderly living without a spouse is more likely to be disabled (OR = 1.54; 95% CI = 1.43-1.64). We also observed provincial differences in disabilities. Furthermore, elderly living in rural areas have higher odds of being disabled (OR = 1.18; 95% CI = 1.12-1.25) compared to their urban counterparts. Our results imply that the Indonesian elderly with certain characteristics are more vulnerable than others which requires long term care.