老年人對身心健康功能與狀況感受度之重要性因素分析; The important factors of ananlysis for the status of health elders

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/7698

Title:	老年人對身心健康功能與狀況感受度之重要性因素分析;The important factors of ananlysis for the status of health elders
Authors:	林盈妤;Ying-yu Lin
Contributors:	統計研究所
Keywords:	健康功能;健康自評;老年人;elders;health status;health
Date:	2007-06-08
Issue Date:	2009-09-22 11:02:28 (UTC+8)
Publisher:	國立中央大學圖書館
Abstract:	隨著醫療的發達，人所存活的平均壽命也逐漸增加，據內政部社會司所統計出來的數據，可以發現在民國94年時，台灣地區男性平均壽命已為74.5歲，女性的平均壽命更是高達80.8歲。因為醫療的進步，使得長壽成為趨勢，如何活得更長壽已經逐漸不成為大家所感興趣的話題，而是在高齡的時期，讓自己活的更健康，所謂健康包括生理的、心理的以及社會的健全狀態。民國94年內政部對於老人健康狀況調查報告的統計，有11.58%的老人認為自己的健康狀況很好，21.86%的老人認為自己的健康狀況還算好，36.62%認為普通，22.83%認為自己的健康狀況不太好，6.69%是覺得自己很不好，0.43%的老人選擇很難說這個選項。本研究針對「六十五歲以上」的人口，亦即「老年人口」，除了了解背景資料的基本概況外，更進而使用卡方獨立性檢定、卡方自動互動檢視法、比例勝算模型與多元對應分析來探討他們對於自己身心健康功能狀態的評論，會受到哪些因素所影響，冀望找出影響健康功能狀況與一些人口背景(如年齡、性別…等等)、習慣等之間的關係，可幫助護理人員和機構人員(如老人院、安養院…等等)了解其相關性，並可提供給研究及相關單位作為參考之用。 By the rapid development of medical technology, the life expectancy of a person increase according to the 2005 survey data of Ministry of Interior in Taiwan. The data show that the expectation of live is 74.5 years old for male, and the expectation of live runs up to 80.8 years old for female in Taiwan. Hence longer life expectancy of Taiwan people will be a trend in the future. How to have a longer life expectancy is not interested anymore, instead is how to live healthly in the aging period. The healthy we define here includes physiological, mental and social healthiness. The official statistics in the report of the health of spot-check, there are 11.58% of elders think the health status are “good”, 21.86% “not bad”, 36.62% “okay”, 22.83% “not good”, 6.69% “bad”, and 0.43% “hard to talk”. The goal of this paper investigates the people with the age over sixty-five years old, also known as the population of elderly people. First I analyze the data by the histogram, and further I use the chi-squared independence test, chi-square automatic interaction detection (CHAID), proportional odds models, and multiple correspondence analysis to understand what will cause the elders on the health status. In this study, we try to find the connection between the background of population (eg. age, gender,…etc.) and habits and so on. We research centers for further studies.
Appears in Collections:	[Graduate Institute of Statistics] Electronic Thesis & Dissertation

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