[[alternative]]Co-morbidity Index associated with the activity of daily living function in elderly Veteran Patients

[[abstract]]此研究目的為探討老年榮民病人罹病情況與日常生活功能狀態的相關性，並嘗試暸解老年榮民病人罹患16種加速或提早老化之疾病情況及其與日常生活功能相關性。研究方法採橫斷式研究，病人總數為343位。主要研究工具使用ICD-9-CM分類代碼將疾病進行歸類、CCI-Q合併罹病症指數、日本介護保險法中16種加速或提早老化疾病種類，以及日常生活功能評估量表。研究結果發現收案對象平均年齡83.9歲，平均日常生活功能6.7178.113分、平均總罹病數為2.94種、CCI-Q合併罹病症指數為1.23.2分、日本介護保險法中16種加速或提早老化疾病種類為1.1分2.7分。研究顯示總罹病診斷數與教育程度、CCI-Q合併罹病症指數和日本介護保險法中16種加速或提早老化疾病種類，以及日常生活功能具良好的相關性(γ=-.131, p0.05)。同步迴歸分析指出教育程度、總罹病診斷數、CCI-Q合併罹病指數和日本16項加速老化疾病種類可以解釋日常生活功能的17.4% (Adjusted R2=0.174)。本研究限制由於研究對象同質性極高，病人來源主要來自榮家，故可能導致統計上呈現無顯著相關或低估總罹病診斷數、CCI-Q合併罹病指數和日本16項加速老化指數預測日常生活功能的能力，未來研究可以增加不同族群老人為研究對象，以減少背景文化造成差異。[[abstract]]This research aims to explore the correlation between the situation of elderly veteran patients and activities of daily living (ADLs), and try to understand the elderly patient suffering from 16 kinds of Veterans accelerated or premature aging of the disease and its correlation with activities of daily living. This research is a cross sectional study, and 343 patients in total. Main research tools used ICD-9-CM classification codes to classify diseases, Charlson Co-morbidity Index by Quan (CCI-Q), 16 kinds of accelerated or premature aging disease morbidity index from Execution Act of Kaigo Hokien Ho, and the ADLs assessment tool. The results showed that the mean age of patients was 83.9 years old. The average of ADLs was 6.728.11, and an average of total diagnosis numbers were 2.94, the CCI-Q was 1.23.2 scores, 16 kinds of accelerated or premature aging disease morbidity index was1.12.7scores. The results showed that education, diagnosis of disease classification analysis,CCI-Q combined morbidity disease index and 16 kinds of accelerated or premature aging disease co-morbidity index were significant correlation with ADLs (γ=-.131, p 0.05). The stepwise linear regression analysis showed that education, the total number of diagnosis, CCI-Q combined morbidity index and 16 kinds of accelerated or premature aging disease morbidity index can explain the variance of 17.4% in ADLs (Adjusted R2 = 0.1749). The limitation of this study was the subjects from certain vetarans hospital. Those vetarans patients have very high homogeneity in terms of culture. Therefore, it may lead to statistically showed no significant and overlook the impact of the total diagnosis number, CCI-Q, and 16 kinds of accelerated or premature aging disease morbidity index from Execution Act of Kaigo Hokien Ho in predicting ADLs. Futhermore, the subjects should be recommended to include other elderly population, so that study results can be generalized