Skip navigation

DSpace

機構典藏 DSpace 系統致力於保存各式數位資料(如:文字、圖片、PDF)並使其易於取用。

點此認識 DSpace
DSpace logo
English
中文
  • 瀏覽論文
    • 校院系所
    • 出版年
    • 作者
    • 標題
    • 關鍵字
    • 指導教授
  • 搜尋 TDR
  • 授權 Q&A
    • 我的頁面
    • 接受 E-mail 通知
    • 編輯個人資料
  1. NTU Theses and Dissertations Repository
  2. 醫學院
  3. 護理學系所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/102048
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor張榮珍zh_TW
dc.contributor.advisorJung-Chen Changen
dc.contributor.author陳怡君zh_TW
dc.contributor.authorYi-Jun Chenen
dc.date.accessioned2026-03-12T16:12:07Z-
dc.date.available2026-03-13-
dc.date.copyright2026-03-12-
dc.date.issued2026-
dc.date.submitted2026-02-04-
dc.identifier.citation王智瑩、陳雅美、陳永銘、陸鳳屏(2023).老年病患出院後功能恢復之相關因素探討。台灣老年醫學暨老年學會雜誌,18(4),268–278。https://doi.org/10.29461/TGGa.202311_18(4).0002
王瑜鈞(2021).生活品質SF-8與PHQ-9高危險群之相關分析-以高齡者憂鬱社區服務計畫為基礎〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU202104075
國家發展委員會(2024,10月17日).「中華民國人口推估(2024年至2070年)」報告。https://pop-proj.ndc.gov.tw/News.aspx?n=3&sms=10347
莊豔妃、宋惠娟、林麗萍(2005).偏遠礦區老人健康狀況及健康醫療資源使用之調查研究。慈濟護理雜誌,4(1),34-41。https://doi.org/10.6974/TCNJb.200503.0034
楊千慧(2024).失智症篩檢評估量表臨床運用。中華民國糖尿病衛教學會會訊,20(2),22-24。https://www.airitilibrary.com/Article/Detail?DocID=P20141022001-N202409140001-00008
楊淵韓、李明濱、劉景寬(2009).極早期阿茲海默氏失智症之篩檢。臺灣醫界,52(9),8-10。https://doi.org/10.30044/TMJ.200909.0002
楊雅婷(2024).長者功能狀態對死亡之影響〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU202403308
劉欣宜(2017).探討失智症患者家庭照顧者的壓力因應歷程對憂鬱程度之影響〔博士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201702300
戴玉慈(1988).老年人身體發展與健康需求.於戴玉慈編著,老人護理學(35-99頁).空中大學。
鐘子婷(2021).台灣社區長者身、心、社會衰弱量表:切點初探〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU202004469
鐘子婷、陳端容、陳秀熙、葉彥伯、張睿詒、陳殷正、陳鵬宇、陳雅美(2020).社區長者身、心、社會衰弱量表之切點初探:以台北兩行政區為例。台灣公共衛生雜誌,39(6),671-685。https://doi.org/10.6288/TJPH.202012_39(6).109109
Atbas, C., Sayin, H., Karaduman, D., Sahiner, Z., Hafizoglu, M., Pehlivan, M., Balci, C., Dogu, B. B., Halil, M., & Cankurtaran, M. (2025). Detection of social frailty in older adults: validation and reliability of the Makizako Social Frailty Index for Turkish older adults, a cross-sectional study. BMC geriatrics, 26(1), 115. https://doi.org/10.1186/s12877-025-06810-y
Barnett, K., Mercer, S. W., Norbury, M., Watt, G., Wyke, S., & Guthrie, B. (2012). Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet (London, England), 380(9836), 37–43. https://doi.org/10.1016/S0140-6736(12)60240-2
Berg, K., Wood-Dauphine, S., Williams, J. I., & Gayton, D. (1989). Measuring balance in the elderly: preliminary development of an instrument. Physiotherapy Canada, 41(6), 304-311.
Bhardwaj, P. V., Rastegar, V., Meka, R., Sawalha, K., Brennan, M., & Stefan, M. S. (2021). The Association Between Body Mass Index, Frailty and Long-Term Clinical Outcomes in Hospitalized Older Adults. The American journal of the medical sciences, 362(3), 268–275. https://doi.org/10.1016/j.amjms.2021.04.004
Blazer D. G. (2003). Depression in late life: review and commentary. The journals of gerontology. Series A, Biological sciences and medical sciences, 58(3), 249–265. https://doi.org/10.1093/gerona/58.3.m249
Bunt, S., Steverink, N., Olthof, J., van der Schans, C. P., & Hobbelen, J. S. M. (2017). Social frailty in older adults: a scoping review. European journal of ageing, 14(3), 323–334. https://doi.org/10.1007/s10433-017-0414-7
Cesari, M., Araujo de Carvalho, I., Amuthavalli Thiyagarajan, J., Cooper, C., Martin, F. C., Reginster, J. Y., Vellas, B., & Beard, J. R. (2018). Evidence for the Domains Supporting the Construct of Intrinsic Capacity. The journals of gerontology. Series A, Biological sciences and medical sciences, 73(12), 1653–1660. https://doi.org/10.1093/gerona/gly011
Chan, J. K. N., Solmi, M., Lo, H. K. Y., Chan, M. W. Y., Choo, L. L. T., Lai, E. T. H., Wong, C. S. M., Correll, C. U., & Chang, W. C. (2025). All-cause and cause-specific mortality in people with depression: a large-scale systematic review and meta-analysis of relative risk and aggravating or attenuating factors, including antidepressant treatment. World psychiatry : official journal of the World Psychiatric Association (WPA), 24(3), 404–421. https://doi.org/10.1002/wps.21354
Chen, I. P., Liu, S. I., Huang, H. C., Sun, F. J., Huang, C. R., Sung, M. R., & Huang, Y. P. (2016). Validation of the patient health questionnaire for depression screening among the elderly patients in Taiwan. International Journal of Gerontology, 10(4), 193-197. https://doi.org/10.1016/j.ijge.2016.05.002
Cheng, A. T., Tien, A. Y., Chang, C. J., Brugha, T. S., Cooper, J. E., Lee, C. S., Compton, W., Liu, C. Y., Yu, W. Y., & Chen, H. M. (2001). Cross-cultural implementation of a Chinese version of the Schedules for Clinical Assessment in Neuropsychiatry (SCAN) in Taiwan. The British journal of psychiatry : the journal of mental science, 178, 567–572. https://doi.org/10.1192/bjp.178.6.567
Cigolle, C. T., Blaum, C. S., Lyu, C., Ha, J., Kabeto, M., & Zhong, J. (2022). Associations of Age at Diagnosis and Duration of Diabetes With Morbidity and Mortality Among Older Adults. JAMA network open, 5(9), e2232766. https://doi.org/10.1001/jamanetworkopen.2022.32766
Collett, D. (2014). Modelling Survival Data in Medical Research (3rd ed.). Chapman and Hall/CRC. https://doi.org/10.1201/b18041
Collin, C., Wade, D. T., Davies, S., & Horne, V. (1988). The Barthel ADL Index: a reliability study. International disability studies, 10(2), 61–63. https://doi.org/10.3109/09638288809164103
Cox, D. R. (1972). Regression models and life‐tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187-202.
de Breij, S., Rijnhart, J. J. M., Schuster, N. A., Rietman, M. L., Peters, M. J. L., & Hoogendijk, E. O. (2021). Explaining the association between frailty and mortality in older adults: The mediating role of lifestyle, social, psychological, cognitive, and physical factors. Preventive medicine reports, 24, 101589. https://doi.org/10.1016/j.pmedr.2021.101589
Deardorff, W. J., Jeon, S. Y., Barnes, D. E., Boscardin, W. J., Langa, K. M., Covinsky, K. E., Mitchell, S. L., Lee, S. J., & Smith, A. K. (2024). Development and External Validation of Models to Predict Need for Nursing Home Level of Care in Community-Dwelling Older Adults With Dementia. JAMA internal medicine, 184(1), 81–91. https://doi.org/10.1001/jamainternmed.2023.6548
Dong, L., Liu, N., Tian, X., Qiao, X., Gobbens, R. J. J., Kane, R. L., & Wang, C. (2017). Reliability and validity of the Tilburg Frailty Indicator (TFI) among Chinese community-dwelling older people. Archives of gerontology and geriatrics, 73, 21–28. https://doi.org/10.1016/j.archger.2017.07.001
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. Journal of psychiatric research, 12(3), 189-198.
Fox, J. (2016). Applied regression analysis and generalized linear models (3rd ed.). Sage Publications.
Fox, J., & Monette, G. (1992). Generalized collinearity diagnostics. Journal of the American Statistical Association, 87(417), 178-183. https://doi.org/10.1080/01621459.1992.10475190
Francis, A., Harhay, M. N., Ong, A. C. M., Tummalapalli, S. L., Ortiz, A., Fogo, A. B., Fliser, D., Roy-Chaudhury, P., Fontana, M., Nangaku, M., Wanner, C., Malik, C., Hradsky, A., Adu, D., Bavanandan, S., Cusumano, A., Sola, L., Ulasi, I., Jha, V., American Society of Nephrology, … International Society of Nephrology (2024). Chronic kidney disease and the global public health agenda: an international consensus. Nature reviews. Nephrology, 20(7), 473–485. https://doi.org/10.1038/s41581-024-00820-6
Fugl-Meyer, A. R., Jääskö, L., Leyman, I., Olsson, S., & Steglind, S. (1975). The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance. Scandinavian journal of rehabilitation medicine, 7(1), 13–31.
Fukutomi, E., Okumiya, K., Wada, T., Sakamoto, R., Ishimoto, Y., Kimura, Y., ... & Matsubayashi, K. (2015). Relationships between each category of 25‐item frailty risk assessment (K ihon C hecklist) and newly certified older adults under L ong‐T erm C are I nsurance: A 24‐month follow‐up study in a rural community in J apan. Geriatrics & gerontology international, 15(7), 864-871.
Gale, C. R., Westbury, L., & Cooper, C. (2018). Social isolation and loneliness as risk factors for the progression of frailty: the English Longitudinal Study of Ageing. Age and ageing, 47(3), 392–397. https://doi.org/10.1093/ageing/afx188
Galvin, J. E., Roe, C. M., Powlishta, K. K., Coats, M. A., Muich, S. J., Grant, E., Miller, J. P., Storandt, M., & Morris, J. C. (2005). The AD8: a brief informant interview to detect dementia. Neurology, 65(4), 559–564. https://doi.org/10.1212/01.wnl.0000172958.95282.2a
Galvin, J. E., Roe, C. M., Xiong, C., & Morris, J. C. (2006). Validity and reliability of the AD8 informant interview in dementia. Neurology, 67(11), 1942–1948. https://doi.org/10.1212/01.wnl.0000247042.15547.eb
Gaonkar, M. P., Liwo, A. N., & Beasley, T. M. (2023). Computing Generalized Collinearity Diagnostics for Categorical Variables Using Multivariate Regression. General Linear Model Journal, 47(2), 16-28. https://doi.org/10.31523/glmj.047002.002
Gobbens, R. J., van Assen, M. A., Luijkx, K. G., Wijnen-Sponselee, M. T., & Schols, J. M. (2010). The Tilburg Frailty Indicator: psychometric properties. Journal of the American Medical Directors Association, 11(5), 344–355. https://doi.org/10.1016/j.jamda.2009.11.003
Goto, T., Kishimoto, T., Fujiwara, S., Shirayama, Y., & Ichikawa, T. (2024). Social frailty as a predictor of all-cause mortality and functional disability: a systematic review and meta-analysis. Scientific reports, 14(1), 3410. https://doi.org/10.1038/s41598-024-53984-3
Grande, G., Qiu, C., & Fratiglioni, L. (2020). Prevention of dementia in an ageing world: Evidence and biological rationale. Ageing research reviews, 64, 101045. https://doi.org/10.1016/j.arr.2020.101045
Gregg, E. W., Pratt, A., Owens, A., Barron, E., Dunbar-Rees, R., Slade, E. T., Hafezparast, N., Bakhai, C., Chappell, P., Cornelius, V., Johnston, D. G., Mathews, J., Pickles, J., Bragan Turner, E., Wainman, G., Roberts, K., Khunti, K., & Valabhji, J. (2024). The burden of diabetes-associated multiple long-term conditions on years of life spent and lost. Nature medicine, 30(10), 2830–2837. https://doi.org/10.1038/s41591-024-03123-2
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate data analysis (7th ed.). Pearson Prentice Hall.
Hakimjavadi, R., Yin, C. Y., Scott, M., Talarico, R., Ramsay, T., Webber, C., Manuel, D., Moledina, A., Hsu, A. T., Fung, C., Kaasalainen, S., Kierulf, J., Molnar, F., Shamon, S., Robert, B., Ronksley, P. E., Tanuseputro, P., Wilson, K., & Kobewka, D. (2025). Cognitive and Functional Decline Among Long-Term Care Residents. JAMA network open, 8(4), e255635. https://doi.org/10.1001/jamanetworkopen.2025.5635
Hamilton, M. (1960). A rating scale for depression. Journal of neurology, neurosurgery, and psychiatry, 23(1), 56–62. https://doi.org/10.1136/jnnp.23.1.56
Holbrook, M., & Skilbeck, C. E. (1983). An activities index for use with stroke patients. Age and ageing, 12(2), 166–170. https://doi.org/10.1093/ageing/12.2.166
Holt-Lunstad, J., Smith, T. B., Baker, M., Harris, T., & Stephenson, D. (2015). Loneliness and social isolation as risk factors for mortality: a meta-analytic review. Perspectives on psychological science : a journal of the Association for Psychological Science, 10(2), 227–237. https://doi.org/10.1177/1745691614568352
Hoogendijk, E. O., Afilalo, J., Ensrud, K. E., Kowal, P., Onder, G., & Fried, L. P. (2019). Frailty: implications for clinical practice and public health. Lancet (London, England), 394(10206), 1365–1375. https://doi.org/10.1016/S0140-6736(19)31786-6
Hosmer, D. W., Lemeshow, S., & May, S. (2008). Applied survival analysis: Regression modeling of time-to-event data (2nd ed.). Wiley.
Hsueh, I. P., Lee, M. M., & Hsieh, C. L. (2001). Psychometric characteristics of the Barthel activities of daily living index in stroke patients. Journal of the Formosan Medical Association = Taiwan yi zhi, 100(8), 526–532.
Ke, C., Lipscombe, L. L., Weisman, A., Zhou, L., Austin, P. C., Shah, B. R., & Booth, G. L. (2022). Trends in the Association Between Diabetes and Cardiovascular Events, 1994-2019. JAMA, 328(18), 1866–1869. https://doi.org/10.1001/jama.2022.14914
Kelaiditi, E., Cesari, M., Canevelli, M., van Kan, G. A., Ousset, P. J., Gillette-Guyonnet, S., Ritz, P., Duveau, F., Soto, M. E., Provencher, V., Nourhashemi, F., Salvà, A., Robert, P., Andrieu, S., Rolland, Y., Touchon, J., Fitten, J. L., Vellas, B., & IANA/IAGG (2013). Cognitive frailty: rational and definition from an (I.A.N.A./I.A.G.G.) international consensus group. The journal of nutrition, health & aging, 17(9), 726–734. https://doi.org/10.1007/s12603-013-0367-2
Kim, H., Kim, S. H., & Cho, Y. J. (2021). Combined Effects of Depression and Chronic Disease on the Risk of Mortality: The Korean Longitudinal Study of Aging (2006-2016). Journal of Korean medical science, 36(16), e99. https://doi.org/10.3346/jkms.2021.36.e99
Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: validity of a brief depression severity measure. Journal of general internal medicine, 16(9), 606–613. https://doi.org/10.1046/j.1525-1497.2001.016009606.x
Lee, S. Y., Lee, J. P., Lee, J., Park, J. Y., & Kim, E. Y. (2023). Association between depressive symptoms and the risk of all-cause and cardiovascular mortality among US adults. Progress in neuro-psychopharmacology & biological psychiatry, 125, 110755. https://doi.org/10.1016/j.pnpbp.2023.110755
Levis, B., Benedetti, A., Thombs, B. D., & DEPRESsion Screening Data (DEPRESSD) Collaboration (2019). Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysis. BMJ (Clinical research ed.), 365, l1476. https://doi.org/10.1136/bmj.l1476
Liu, C. K., Chou, M. C., Lai, C. L., & Yang, Y. H. (2009). P1‐051: Application of AD‐8 to screen very mild dementia in Taiwan. Alzheimer's & Dementia, 5(4S_Part_6), P186-P186. https://doi.org/10.1016/j.jalz.2009.04.055
Liu, P., Sawhney, S., Heide-Jørgensen, U., Quinn, R. R., Jensen, S. K., Mclean, A., Christiansen, C. F., Gerds, T. A., & Ravani, P. (2024). Predicting the risks of kidney failure and death in adults with moderate to severe chronic kidney disease: multinational, longitudinal, population based, cohort study. BMJ (Clinical research ed.), 385, e078063. https://doi.org/10.1136/bmj-2023-078063
Liu, S. I., Yeh, Z. T., Huang, H. C., Sun, F. J., Tjung, J. J., Hwang, L. C., Shih, Y. H., & Yeh, A. W. (2011). Validation of Patient Health Questionnaire for depression screening among primary care patients in Taiwan. Comprehensive psychiatry, 52(1), 96–101. https://doi.org/10.1016/j.comppsych.2010.04.013
Mahoney, F.I., & Barthel, D. W. (1965). Functional evaluation: the Barthel index. Maryland state medical journal, 14, 61–65.
Makizako, H., Shimada, H., Doi, T., Tsutsumimoto, K., Hotta, R., Nakakubo, S., Makino, K., & Lee, S. (2018). Social Frailty Leads to the Development of Physical Frailty among Physically Non-Frail Adults: A Four-Year Follow-Up Longitudinal Cohort Study. International journal of environmental research and public health, 15(3), 490. https://doi.org/10.3390/ijerph15030490
Makizako, H., Shimada, H., Tsutsumimoto, K., Lee, S., Doi, T., Nakakubo, S., Hotta, R., & Suzuki, T. (2015). Social Frailty in Community-Dwelling Older Adults as a Risk Factor for Disability. Journal of the American Medical Directors Association, 16(11), 1003.e7–1003.e1.003E11. https://doi.org/10.1016/j.jamda.2015.08.023
Miao, M. Y., Fang, F., Lyu, J. Q., Liu, Z. Y., Wan, Z. X., Qin, L. Q., Chen, G. C., & Wang, H. P. (2025). Relationships of social isolation and loneliness with healthy aging among older adults. BMC geriatrics, 25(1), 267. https://doi.org/10.1186/s12877-025-05941-6
Ndumele, C. E., Rangaswami, J., Chow, S. L., Neeland, I. J., Tuttle, K. R., Khan, S. S., Coresh, J., Mathew, R. O., Baker-Smith, C. M., Carnethon, M. R., Despres, J. P., Ho, J. E., Joseph, J. J., Kernan, W. N., Khera, A., Kosiborod, M. N., Lekavich, C. L., Lewis, E. F., Lo, K. B., Ozkan, B., … American Heart Association (2023). Cardiovascular-Kidney-Metabolic Health: A Presidential Advisory From the American Heart Association. Circulation, 148(20), 1606–1635. https://doi.org/10.1161/CIR.0000000000001184
Nguyen, T. V., Dang, H. T., Burns, M. J., Dao, H. H., & Nguyen, T. N. (2021). Impairment in activities of daily living and readmission in older patients with heart failure: a cohort study. BMJ open, 11(2), e044416. https://doi.org/10.1136/bmjopen-2020-044416
O’Brien, R. M. (2007). A caution regarding rules of thumb for variance inflation factors. Quality & Quantity, 41(5), 673–690. https://doi.org/10.1007/s11135-006-9018-6
O'Súilleabháin, P. S., Sutin, A. R., & Gerstorf, D. (2020). Body mass index, waist circumference, and mortality risks over 27 years of follow-up in old age. Annals of epidemiology, 46, 20–23. https://doi.org/10.1016/j.annepidem.2020.04.008
Park, H., Jang, I. Y., Lee, H. Y., Jung, H. W., Lee, E., & Kim, D. H. (2019). Screening Value of Social Frailty and Its Association with Physical Frailty and Disability in Community-Dwelling Older Koreans: Aging Study of PyeongChang Rural Area. International journal of environmental research and public health, 16(16), 2809. https://doi.org/10.3390/ijerph16162809
Pearlin, L. I., & Schooler, C. (1978). The structure of coping. Journal of health and social behavior, 2-21.
Pessin, E., Fuchs, S. C., Bruscato, N. M., Fuchs, F. C., & Moriguchi, E. H. (2023). Mortality was predicted by depression and functional dependence in a cohort of elderly adults of Italian descent from southern Brazil. Scientific reports, 13(1), 5448. https://doi.org/10.1038/s41598-023-32617-1
Pothier, K., Gana, W., Bailly, N., & Fougère, B. (2022). Associations Between Frailty and Inflammation, Physical, and Psycho-Social Health in Older Adults: A Systematic Review. Frontiers in psychology, 13, 805501. https://doi.org/10.3389/fpsyg.2022.805501
R Core Team. (2024). R: A language and environment for statistical computing (Version 4.4.1) [Computer software]. R Foundation for Statistical Computing. https://www.R-project.org/
Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied psychological measurement, 1(3), 385-401.
Rapaport, M. H., Endicott, J., & Clary, C. M. (2002). Posttraumatic stress disorder and quality of life: results across 64 weeks of sertraline treatment. The Journal of clinical psychiatry, 63(1), 59–65. https://doi.org/10.4088/jcp.v63n0112
Sainsbury, A., Seebass, G., Bansal, A., & Young, J. B. (2005). Reliability of the Barthel Index when used with older people. Age and ageing, 34(3), 228–232. https://doi.org/10.1093/ageing/afi063
Sánchez-Sánchez, J. L., Lu, W. H., Gallardo-Gómez, D., Del Pozo Cruz, B., de Souto Barreto, P., Lucia, A., & Valenzuela, P. L. (2024). Association of intrinsic capacity with functional decline and mortality in older adults: a systematic review and meta-analysis of longitudinal studies. The lancet. Healthy longevity, 5(7), e480–e492. https://doi.org/10.1016/S2666-7568(24)00092-8
Seals, D. R., Justice, J. N., & LaRocca, T. J. (2016). Physiological geroscience: targeting function to increase healthspan and achieve optimal longevity. The Journal of physiology, 594(8), 2001–2024. https://doi.org/10.1113/jphysiol.2014.282665
Stewart, A. L., Hays, R. D., & Ware, J. E., Jr (1988). The MOS short-form general health survey. Reliability and validity in a patient population. Medical care, 26(7), 724–735. https://doi.org/10.1097/00005650-198807000-00007
Szymkowicz, S. M., Gerlach, A. R., Homiack, D., & Taylor, W. D. (2023). Biological factors influencing depression in later life: role of aging processes and treatment implications. Translational psychiatry, 13(1), 160. https://doi.org/10.1038/s41398-023-02464-9
United Nations, Department of Economic and Social Affairs, Population Division (2024). World Population Prospects 2024. https://population.un.org/wpp/downloads?folder=Standard%20Projections&group = Most%20used
Vermeulen, J., Neyens, J. C., van Rossum, E., Spreeuwenberg, M. D., & de Witte, L. P. (2011). Predicting ADL disability in community-dwelling elderly people using physical frailty indicators: a systematic review. BMC geriatrics, 11, 33. https://doi.org/10.1186/1471-2318-11-33
Visaria, A., & Setoguchi, S. (2023). Body mass index and all-cause mortality in a 21st century U.S. population: A National Health Interview Survey analysis. PloS one, 18(7), e0287218. https://doi.org/10.1371/journal.pone.0287218
Wang, Y., Li, J., Fu, P., Jing, Z., Zhao, D., & Zhou, C. (2022). Social support and subsequent cognitive frailty during a 1-year follow-up of older people: the mediating role of psychological distress. BMC geriatrics, 22(1), 162. https://doi.org/10.1186/s12877-022-02839-5
Wei, J., Hou, R., Zhang, X., Xu, H., Xie, L., Chandrasekar, E. K., Ying, M., & Goodman, M. (2019). The association of late-life depression with all-cause and cardiovascular mortality among community-dwelling older adults: systematic review and meta-analysis. The British journal of psychiatry : the journal of mental science, 215(2), 449–455. https://doi.org/10.1192/bjp.2019.74
Wing, J. K., Babor, T., Brugha, T., Burke, J., Cooper, J. E., Giel, R., Jablenski, A., Regier, D., & Sartorius, N. (1990). SCAN. Schedules for Clinical Assessment in Neuropsychiatry. Archives of general psychiatry, 47(6), 589–593. https://doi.org/10.1001/archpsyc.1990.01810180089012
Wolde, S., & Miao Jonasson, J. (2025). Social Isolation and Mortality in Older Adults in Sweden: A Cohort Study. International journal of public health, 70, 1608729. https://doi.org/10.3389/ijph.2025.1608729
Writing Group for the CKD Prognosis Consortium, Grams, M. E., Coresh, J., Matsushita, K., Ballew, S. H., Sang, Y., Surapaneni, A., Alencar de Pinho, N., Anderson, A., Appel, L. J., Ärnlöv, J., Azizi, F., Bansal, N., Bell, S., Bilo, H. J. G., Brunskill, N. J., Carrero, J. J., Chadban, S., Chalmers, J., Chen, J., … Gansevoort, R. T. (2023). Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis. JAMA, 330(13), 1266–1277. https://doi.org/10.1001/jama.2023.17002
Yesavage, J. A. (1988). Geriatric depression scale. Psychopharmacol Bull, 24, 709-711.
Zhao, J., Liu, Y. W. J., Tyrovolas, S., & Mutz, J. (2023). Exploring the concept of psychological frailty in older adults: a systematic scoping review. Journal of clinical epidemiology, 159, 300–308. https://doi.org/10.1016/j.jclinepi.2023.05.005
Zhou, J., Kou, M., Tang, R., Wang, X., Li, X., Heianza, Y., Manson, J. E., & Qi, L. (2025). Joint Physical-Psychosocial Frailty and Risks of All-Cause and Cause-Specific Premature Mortality. Journal of general internal medicine, 40(10), 2207–2217. https://doi.org/10.1007/s11606-024-09335-z
Zigmond, A. S., & Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta psychiatrica scandinavica, 67(6), 361-370.
-
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/102048-
dc.description.abstract背景:隨全球高齡化趨勢加劇,高齡人口比例持續上升,平均壽命延長使高齡者健康議題逐漸由以急性疾病為主,轉向多重慢性疾病共存、功能退化與整體健康風險交織而成之複雜健康樣態。高齡者之死亡風險已不再僅由單一疾病所決定,而是由慢性病負荷、功能狀態下降與社會心理脆弱性等多重因素相互影響所形成。其中,社區高齡者之社會心理因素在同時考量慢性疾病與功能狀態等相關因素後,其與全死因死亡風險之關聯仍有待進一步釐清。
目的:本研究旨在探討社區高齡者之基本人口學特徵、慢性疾病、失能狀態、認知功能、社會心理因素(包含社會性衰弱、心理性衰弱及憂鬱症狀)與全死因死亡風險之關聯。
方法:本研究採回溯性世代研究設計,納入2019年至2025年8月31日期間設籍彰化縣、並參與高齡者整合式健康檢查之65歲以上社區高齡者。研究以整合式健檢資料串聯戶役政系統死亡登記資料,追蹤至2025年8月31日之全死因死亡事件。以Cox比例風險迴歸模型進行單變項與多變項分析,評估各人口學、健康狀態、失能與社會心理因素與死亡風險之關聯。
結果:本研究共納入8,222位65歲以上社區高齡者,追蹤期間存活7,581人(92.2%)、死亡641人(7.8%)。多變項Cox模型顯示,男性(aHR = 2.14,95% CI: 1.28–3.59)、年齡較高(75–84歲aHR = 2.52,95% CI: 1.98–3.22;≥85歲aHR = 5.33,95% CI: 4.06–6.99)、BMI過輕(aHR = 2.00,95% CI: 1.42–2.81)、喪偶(aHR = 1.25,95% CI: 1.04–1.50)、糖尿病(aHR = 1.62,95% CI: 1.36–1.93)與腎臟病(aHR = 1.47,95% CI: 1.12–1.93)皆與較高全死因死亡風險獨立相關。失能方面,中重度依賴者之死亡風險顯著高於完全獨立者(aHR = 2.03,95% CI: 1.62–2.54),顯示失能為高齡死亡風險之重要指標。社會心理因素中,社會性衰弱與死亡風險呈穩定正向關聯(衰弱前期aHR = 1.25,95% CI: 1.04–1.50;衰弱aHR = 1.26,95% CI: 1.01–1.58),且社會性衰弱指標項數呈劑量反應趨勢(aHR = 1.09,95% CI: 1.00–1.19;χ² = 4.034,df = 1,p = 0.045)。心理性衰弱僅在單變項模型中與死亡風險呈顯著正相關(衰弱前期HR = 1.24,95% CI: 1.01–1.52;衰弱HR = 1.48,95% CI: 1.22–1.80),惟在多變項模型中其與死亡風險之關聯不再顯著。憂鬱症狀於單變項分析中亦呈現死亡風險上升趨勢,其中僅輕度與中度憂鬱達統計顯著(輕度HR = 1.52,95% CI: 1.20–1.92;中度HR = 1.67,95% CI: 1.07–2.61;中重度HR = 1.72,95% CI: 0.77–3.85;重度HR = 2.06,95% CI: 0.51–8.27)。然而,在同時調整慢性疾病、失能狀態與社會心理衰弱等因素後,憂鬱症狀與全死因死亡風險之關聯亦未達統計顯著。
結論:本研究顯示,在彰化縣社區高齡者中,男性、高齡、BMI過輕、喪偶、糖尿病、腎臟病與中重度失能,皆為全死因死亡風險之重要且獨立相關因子;其中,社會性衰弱除與死亡風險呈穩定正向關聯外,亦呈現指標項數增加之劑量反應趨勢,顯示其可提供在慢性病與失能以外之額外風險辨識價值。相對地,心理性衰弱與憂鬱症狀之風險訊號在多變項調整後不再顯著,可能反映其影響部分透過慢性病、失能與社會性衰弱等因素所中介或重疊。建議將社會性衰弱納入整合式健檢風險分層,以利及早連結社會支持與社區資源、強化介入策略,進一步降低高風險高齡者之死亡風險。
zh_TW
dc.description.abstractBackground
With accelerating global population aging, the health profile of older adults has shifted from predominantly acute illnesses to complex patterns characterized by multimorbidity, functional decline, and interacting health risks. All-cause mortality in later life is increasingly shaped by the combined effects of chronic disease burden, functional status, and psychosocial vulnerability. However, the extent to which psychosocial factors are associated with mortality risk among community-dwelling older adults, after accounting for chronic conditions and functional status, remains incompletely understood.
Objectives
To examine the associations of demographic characteristics, chronic diseases, functional dependence, cognitive function, and psychosocial factors (social frailty, psychological frailty, and depressive symptoms) with all-cause mortality risk among community-dwelling older adults.
Methods
This retrospective cohort study included community-dwelling adults aged ≥65 years who were registered residents of Changhua County, Taiwan, and participated in an integrated health screening program between 2019 and August 31, 2025. Screening data were linked to official death registry records to ascertain all-cause mortality through August 31, 2025. Univariate and multivariate Cox proportional hazards regression models were used to evaluate associations between study variables and mortality risk.
Results
Among 8,222 participants, 7,581 (92.2%) survived and 641 (7.8%) died during follow-up. In multivariate Cox models, higher all-cause mortality risk was independently associated with male (adjusted hazard ratio [aHR] = 2.14, 95% confidence interval [CI]: 1.28–3.59), older age (75–84 years: aHR = 2.52, 95% CI: 1.98–3.22; ≥85 years: aHR = 5.33, 95% CI: 4.06–6.99), underweight body mass index (aHR = 2.00, 95% CI: 1.42–2.81), widowhood (aHR = 1.25, 95% CI: 1.04–1.50), diabetes mellitus (aHR = 1.62, 95% CI: 1.36–1.93), and chronic kidney disease (aHR = 1.47, 95% CI: 1.12–1.93). Moderate-to-severe functional dependence was a strong predictor compared with full independence (aHR = 2.03, 95% CI: 1.62–2.54).
Regarding psychosocial factors, social frailty was consistently associated with increased mortality risk (prefrail: aHR = 1.25, 95% CI: 1.04–1.50; frail: aHR = 1.26, 95% CI: 1.01–1.58). In trend analysis, each additional social frailty criterion was associated with higher mortality risk (aHR = 1.09, 95% CI: 1.00–1.19; χ² = 4.034, df = 1, p = 0.045), indicating a dose–response relationship. Psychological frailty and depressive symptoms were associated with mortality risk only in univariate analyses; after adjustment for chronic diseases, functional dependence, and psychosocial frailty measures, neither psychological frailty nor depressive symptoms remained significantly associated with all-cause mortality risk.
Conclusions
In community-dwelling older adults in Changhua County, male, older age, underweight BMI, widowhood, diabetes, chronic kidney disease, and moderate-to-severe functional dependence were independent predictors of all-cause mortality risk. Social frailty showed a stable association with mortality risk and a dose–response pattern, suggesting incremental risk information beyond chronic disease and functional dependence. In contrast, the risk signals of psychological frailty and depressive symptoms were attenuated after multivariate adjustment, potentially reflecting overlap or mediation through chronic conditions, functional dependence, and social frailty. Incorporating social frailty into risk stratification within integrated community screening may help identify high-risk older adults and facilitate early linkage to social support and community resources.
en
dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2026-03-12T16:12:07Z
No. of bitstreams: 0
en
dc.description.provenanceMade available in DSpace on 2026-03-12T16:12:07Z (GMT). No. of bitstreams: 0en
dc.description.tableofcontents口試委員會審定書 i
謝辭 ii
中文摘要 iv
Abstract vi
目次 viii
圖次 xi
表次 xii
第一章 緒論 1
第一節 研究背景與重要性 1
第二節 研究問題 2
第三節 研究目的 2
第二章 文獻查證 3
第一節 高齡者死亡風險之相關因素 3
第二節 社會心理因素與高齡者死亡風險 4
第三節 憂鬱狀態與高齡者死亡風險 5
第三章 研究方法 7
第一節 研究對象 7
第二節 研究架構 7
第三節 研究設計與流程 7
第四節 研究工具 8
一、資料來源 8
二、評估工具 8
第五節 研究變項操作型定義 16
第六節 統計分析 17
第七節 研究倫理 18
第四章 研究結果 19
第一節 研究對象之特徵與全死因死亡率 19
一、研究對象背景資料 19
二、研究對象之全死因死亡率分布與單變項分析 20
第二節 社會心理因素與全死因死亡風險 22
一、單變項分析社會性衰弱、心理性衰弱與憂鬱症狀與死亡風險 22
第三節 多變項分析社會心理因素與全死因死亡風險 23
一、基本資料、生活型態、共病、失能狀態、認知功能之多變項分析 23
二、社會心理因素個別納入之多變項分析 24
三、社會心理因素獨立影響之檢定:Cox風險比例多變項分析 25
第四節 多變項Cox比例風險模型 25
一、多變項Cox比例風險模型之多重共線性診斷(GVIF) 25
二、社會心理因素連續趨勢項與全死因死亡風險之多變項分析 26
第五章 討論 52
第一節 研究主要結果之綜合討論 52
第二節 BMI體位過輕與全死因死亡風險之關聯 53
第三節 慢性疾病與全死因死亡風險之關聯 54
第四節 失能狀態與全死因死亡風險之關聯 55
第五節 社會性衰弱與全死因死亡風險之關聯 55
第六節 心理性衰弱與全死因死亡風險之關聯 56
一、社會性與心理性衰弱之整合討論 57
第七節 憂鬱症狀與全死因死亡風險之關聯 58
第六章 結論與建議 60
第一節 結論 60
第二節 研究限制 61
第三節 未來研究建議 61
第七章 參考文獻 63
-
dc.language.isozh_TW-
dc.subject社區高齡者-
dc.subject社會性衰弱-
dc.subject心理性衰弱-
dc.subject憂鬱症狀-
dc.subject失能(功能依賴)-
dc.subject慢性疾病-
dc.subject全死因死亡-
dc.subjectcommunity-dwelling older adults-
dc.subjectsocial frailty-
dc.subjectpsychological frailty-
dc.subjectdepressive symptoms-
dc.subjectfunctional dependence-
dc.subjectchronic conditions-
dc.subjectall-cause mortality-
dc.title社區高齡者社會心理因素與死亡風險之相關性探討zh_TW
dc.titleThe Association Between Psychosocial Factors and Mortality Risk Among Community-Dwelling Older Adultsen
dc.typeThesis-
dc.date.schoolyear114-1-
dc.description.degree碩士-
dc.contributor.oralexamcommittee嚴明芳;葉彥伯zh_TW
dc.contributor.oralexamcommitteeMing-Fang Yen;Yen-Po Yehen
dc.subject.keyword社區高齡者,社會性衰弱心理性衰弱憂鬱症狀失能(功能依賴)慢性疾病全死因死亡zh_TW
dc.subject.keywordcommunity-dwelling older adults,social frailtypsychological frailtydepressive symptomsfunctional dependencechronic conditionsall-cause mortalityen
dc.relation.page72-
dc.identifier.doi10.6342/NTU202600568-
dc.rights.note同意授權(全球公開)-
dc.date.accepted2026-02-04-
dc.contributor.author-college醫學院-
dc.contributor.author-dept護理學研究所-
dc.date.embargo-lift2028-12-31-
顯示於系所單位:護理學系所

文件中的檔案:
檔案 大小格式 
ntu-114-1.pdf
  此日期後於網路公開 2028-12-31
1.71 MBAdobe PDF
顯示文件簡單紀錄


系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。

社群連結
聯絡資訊
10617臺北市大安區羅斯福路四段1號
No.1 Sec.4, Roosevelt Rd., Taipei, Taiwan, R.O.C. 106
Tel: (02)33662353
Email: ntuetds@ntu.edu.tw
意見箱
相關連結
館藏目錄
國內圖書館整合查詢 MetaCat
臺大學術典藏 NTU Scholars
臺大圖書館數位典藏館
本站聲明
© NTU Library All Rights Reserved