請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99894完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 李達宇 | zh_TW |
| dc.contributor.advisor | TA-YU LEE | en |
| dc.contributor.author | 謝雨蓁 | zh_TW |
| dc.contributor.author | Yu-Zhen Hsieh | en |
| dc.date.accessioned | 2025-09-19T16:13:23Z | - |
| dc.date.available | 2025-09-20 | - |
| dc.date.copyright | 2025-09-19 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-08-05 | - |
| dc.identifier.citation | Afshar, S., Roderick, P. J., Kowal, P., Dimitrov, B. D., & Hill, A. G. (2015). Multimorbidity and the inequalities of global ageing: A cross-sectional study of 28 countries using the World Health Surveys. BMC Public Health, 15(1), 776. https://doi.org/10.1186/s12889-015-2008-7
Alessandra Marengoni, Sara Angleman, René Melis, Francesca Mangialasche, Anita Karp, Annika Garmen, Bettina Meinow, & Laura Fratiglioni. (2011). Aging with multimorbidity: A systematic review of the literature. Ageing Research Reviews, 10(4), 430–439. https://doi.org/10.1016/j.arr.2011.03.003 Aoki, T., Fukuhara, S., Fujinuma, Y., & Yamamoto, Y. (2021). Effect of multimorbidity patterns on the decline in health-related quality of life: A nationwide prospective cohort study in Japan. https://doi.org/10.1136/bmjopen-2020-047812 APrados-Torres A, Calderón-Larrañaga A, Hancco-Saavedra J, Poblador-Plou B, & van den Akker M. (2014). Multimorbidity patterns: A systematic review. Journal of Clinical Epidemiology, 67(3), 254–266. https://doi.org/10.1016/j.jclinepi.2013.09.021 Arokiasamy, P., Uttamacharya, U., Jain, K., Biritwum, R. B., Yawson, A. E., Wu, F., Guo, Y., Maximova, T., Espinoza, B. M., Salinas Rodríguez, A., Afshar, S., Pati, S., Ice, G., Banerjee, S., Liebert, M. A., Snodgrass, J. J., Naidoo, N., Chatterji, S., & Kowal, P. (2015). The impact of multimorbidity on adult physical and mental health in low- and middle-income countries: What does the study on global ageing and adult health (SAGE) reveal? BMC Medicine, 13(1), 178. https://doi.org/10.1186/s12916-015-0402-8 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. The Lancet, 380(9836), 37–43. https://doi.org/10.1016/S0140-6736(12)60240-2 Boyd, C. M., & Fortin, M. (2010). Future of Multimorbidity Research: How Should Understanding of Multimorbidity Inform Health System Design? Public Health Reviews, 32(2), 451–474. https://doi.org/10.1007/BF03391611 Brilleman, S. L., & Salisbury, C. (2013). Comparing measures of multimorbidity to predict outcomes in primary care: A cross sectional study. Family Practice, 30(2), 172–178. https://doi.org/10.1093/fampra/cms060 Busija, L., Lim, K., Szoeke, C., Sanders, K. M., & McCabe, M. P. (2019). Do replicable profiles of multimorbidity exist? Systematic review and synthesis. European Journal of Epidemiology, 34(11), 1025–1053. https://doi.org/10.1007/s10654-019-00568-5 Castro, J. P., El-Atat, F. A., McFarlane, S. I., Aneja, A., & Sowers, J. R. (2003). Cardiometabolic syndrome: Pathophysiology and treatment. Current Hypertension Reports, 5(5), 393–401. https://doi.org/10.1007/s11906-003-0085-y Chowdhury, S. R., Chandra Das, D., Sunna, T. C., Beyene, J., & Hossain, A. (2023). Global and regional prevalence of multimorbidity in the adult population in community settings: A systematic review and meta-analysis. EClinicalMedicine, 57, 101860. https://doi.org/10.1016/j.eclinm.2023.101860 Cohen, J. (2013). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Routledge. https://doi.org/10.4324/9780203771587 Déruaz-Luyet, A., N’Goran, A. A., Senn, N., Bodenmann, P., Pasquier, J., Widmer, D., Tandjung, R., Rosemann, T., Frey, P., Streit, S., Zeller, A., Haller, D. M., Excoffier, S., Burnand, B., & Herzig, L. (2017). Multimorbidity and patterns of chronic conditions in a primary care population in Switzerland: A cross-sectional study. https://doi.org/10.1136/bmjopen-2016-013664 Ding, B., & Enstone, A. (2016). Asthma and chronic obstructive pulmonary disease overlap syndrome (ACOS): Structured literature review and physician insights. Expert Review of Respiratory Medicine, 10(3), 363–371. https://doi.org/10.1586/17476348.2016.1144476 Eriksen, C. U., Kamstrup-Larsen, N., Birke, H., Helding, S. A. L., Ghith, N., Andersen, J. S., & Frølich, A. (2022). Models of care for improving health-related quality of life, mental health, or mortality in persons with multimorbidity: A systematic review of randomized controlled trials. Journal of Multimorbidity and Comorbidity, 12, 26335565221134017. https://doi.org/10.1177/26335565221134017 Fabbri, E., Zoli, M., Gonzalez-Freire, M., Salive, M. E., Studenski, S. A., & Ferrucci, L. (2015). Aging and Multimorbidity: New Tasks, Priorities, and Frontiers for Integrated Gerontological and Clinical Research. Journal of the American Medical Directors Association, 16(8), 640–647. https://doi.org/10.1016/j.jamda.2015.03.013 Ferris, J., Fiedeldey, L. K., Kim, B., Clemens, F., Irvine, M. A., Hosseini, S. H., Smolina, K., & Wister, A. (2023). Systematic review and meta-analysis of disease clustering in multimorbidity: A study protocol. https://doi.org/10.1136/bmjopen-2023-076496 Fortin, M., Almirall, J., & Nicholson, K. (2017). Development of a research tool to document self-reported chronic conditions in primary care. Journal of Comorbidity, 7(1), 117–123. https://doi.org/10.15256/joc.2017.7.122 Fortin, M., Lapointe, L., Hudon, C., Vanasse, A., Ntetu, A. L., & Maltais, D. (2004). Multimorbidity and quality of life in primary care: A systematic review. Health and Quality of Life Outcomes, 2, 51. https://doi.org/10.1186/1477-7525-2-51 Fortin, M., Stewart, M., Poitras, M.-E., Almirall, J., & Maddocks, H. (2012). A Systematic Review of Prevalence Studies on Multimorbidity: Toward a More Uniform Methodology. The Annals of Family Medicine, 10(2), 142–151. https://doi.org/10.1370/afm.1337 Gan, C., Yuan, Y., Shen, H., Gao, J., Kong, X., Che, Z., Guo, Y., Wang, H., Dong, E., & Xiao, J. (2025). Liver diseases: Epidemiology, causes, trends and predictions. Signal Transduction and Targeted Therapy, 10(1), 33. https://doi.org/10.1038/s41392-024-02072-z Goodman, R. A., Ling, S. M., Briss, P. A., Parrish, R. G., Salive, M. E., & Finke, B. S. (2016). Multimorbidity Patterns in the United States: Implications for Research and Clinical Practice. The Journals of Gerontology: Series A, 71(2), 215–220. https://doi.org/10.1093/gerona/glv199 Grant, R. W., McCloskey, J., Hatfield, M., Uratsu, C., Ralston, J. D., Bayliss, E., & Kennedy, C. J. (2020). Use of Latent Class Analysis and k-Means Clustering to Identify Complex Patient Profiles. JAMA Network Open, 3(12), e2029068. https://doi.org/10.1001/jamanetworkopen.2020.29068 Hajat, C., & Stein, E. (2018). The global burden of multiple chronic conditions: A narrative review. Preventive Medicine Reports, 12, 284–293. https://doi.org/10.1016/j.pmedr.2018.10.008 Harrison, C., Britt, H., Miller, G., & Henderson, J. (2014). Examining different measures of multimorbidity, using a large prospective cross-sectional study in Australian general practice. BMJ Open, 4(7), e004694. https://doi.org/10.1136/bmjopen-2013-004694 Hauswaldt, J., Schmalstieg-Bahr, K., & Himmel, W. (2022). Different definitions of multimorbidity and their effect on prevalence rates: A retrospective study in German general practices. Primary Health Care Research & Development, 23, e25. https://doi.org/10.1017/S146342362200010X Held, F. P., Blyth, F., Gnjidic, D., Hirani, V., Naganathan, V., Waite, L. M., Seibel, M. J., Rollo, J., Handelsman, D. J., Cumming, R. G., & Le Couteur, D. G. (2016). Association Rules Analysis of Comorbidity and Multimorbidity: The Concord Health and Aging in Men Project. The Journals of Gerontology: Series A, 71(5), 625–631. https://doi.org/10.1093/gerona/glv181 Ho, H.-E., Yeh, C.-J., Wei, J. C.-C., Chu, W.-M., & Lee, M.-C. (2022a). Multimorbidity patterns and their relationships with incident disability and frailty among older adults in Taiwan: A 16-year, population-based cohort study. Archives of Gerontology and Geriatrics, 101, 104688. https://doi.org/10.1016/j.archger.2022.104688 Ho, H.-E., Yeh, C.-J., Wei, J. C.-C., Chu, W.-M., & Lee, M.-C. (2022b). Trends of Multimorbidity Patterns over 16 Years in Older Taiwanese People and Their Relationship to Mortality. International Journal of Environmental Research and Public Health, 19(6), 3317. https://doi.org/10.3390/ijerph19063317 Ho, I. S.-S., Azcoaga-Lorenzo, A., Akbari, A., Davies, J., Hodgins, P., Khunti, K., Kadam, U., Lyons, R., McCowan, C., Mercer, S. W., Nirantharakumar, K., & Guthrie, B. (2022). Variation in the estimated prevalence of multimorbidity: Systematic review and meta-analysis of 193 international studies. BMJ Open, 12(4), e057017. https://doi.org/10.1136/bmjopen-2021-057017 Hu, R.-H., Hsiao, F.-Y., Chen, L.-J., Huang, P.-T., & Hsu, W. W.-Y. (2019). Increasing age- and gender-specific burden and complexity of multimorbidity in Taiwan, 2003–2013: A cross-sectional study based on nationwide claims data. https://doi.org/10.1136/bmjopen-2018-028333 Islam, M. M., Valderas, J. M., Yen, L., Dawda, P., Jowsey, T., & McRae, I. S. (2014). Multimorbidity and comorbidity of chronic diseases among the senior Australians: Prevalence and patterns. PloS One, 9(1), e83783. https://doi.org/10.1371/journal.pone.0083783 Jia, H., Lubetkin, E. I., Barile, J. P., Horner-Johnson, W., DeMichele, K., Stark, D. S., Zack, M. M., & Thompson, W. W. (2018). Quality-adjusted Life Years (QALY) for 15 Chronic Conditions and Combinations of Conditions Among US Adults Aged 65 and Older. Medical Care, 56(8), 740–746. https://doi.org/10.1097/MLR.0000000000000943 Johansson, I., Joseph, P., Balasubramanian, K., McMurray, J. J. V., Lund, L. H., Ezekowitz, J. A., Kamath, D., Alhabib, K., Bayes-Genis, A., Budaj, A., Dans, A. L. L., Dzudie, A., Probstfield, J. L., Fox, K. A. A., Karaye, K. M., Makubi, A., Fukakusa, B., Teo, K., Temizhan, A., … on behalf of the G-CHF Investigators. (2021). Health-Related Quality of Life and Mortality in Heart Failure: The Global Congestive Heart Failure Study of 23 000 Patients From 40 Countries. Circulation, 143(22), 2129–2142. https://doi.org/10.1161/CIRCULATIONAHA.120.050850 Johnston, M. C., Crilly, M., Black, C., Prescott, G. J., & Mercer, S. W. (2019). Defining and measuring multimorbidity: A systematic review of systematic reviews. European Journal of Public Health, 29(1), 182–189. https://doi.org/10.1093/eurpub/cky098 Kanesarajah, J., Waller, M., Whitty, J. A., & Mishra, G. D. (2018). Multimorbidity and quality of life at mid-life: A systematic review of general population studies. Maturitas, 109, 53–62. https://doi.org/10.1016/j.maturitas.2017.12.004 Karen Hacker. (2024). The Burden of Chronic Disease. Mayo Clinic Proceedings: Innovations, Quality & Outcomes, 8(1), 112–119. https://doi.org/10.1016/j.mayocpiqo.2023.08.005 Kharaba, Z., Feghali, E., El Husseini, F., Sacre, H., Abou Selwan, C., Saadeh, S., Hallit, S., Jirjees, F., AlObaidi, H., Salameh, P., & Malaeb, D. (2022). An Assessment of Quality of Life in Patients With Asthma Through Physical, Emotional, Social, and Occupational Aspects. A Cross-Sectional Study. Frontiers in Public Health, 10, 883784. https://doi.org/10.3389/fpubh.2022.883784 Koné, A. P., Scharf, D., & Tan, A. (2023). Multimorbidity and Complexity Among Patients with Cancer in Ontario: A Retrospective Cohort Study Exploring the Clustering of 17 Chronic Conditions with Cancer. Cancer Control : Journal of the Moffitt Cancer Center, 30, 10732748221150393. https://doi.org/10.1177/10732748221150393 Kuan, V., Denaxas, S., Patalay, P., Nitsch, D., Mathur, R., Gonzalez-Izquierdo, A., Sofat, R., Partridge, L., Roberts, A., Wong, I. C. K., Hingorani, M., Chaturvedi, N., Hemingway, H., Hingorani, A. D., Alexander, D. C., Asiimwe, I. G., Ball, S., Bennett, F., Borges, M. C., … Zwierzyna, M. (2023). Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: A population-based study. The Lancet Digital Health, 5(1), e16–e27. https://doi.org/10.1016/S2589-7500(22)00187-X Kudesia, P., Salimarouny, B., Stanley, M., Fortin, M., Stewart, M., Terry, A., & Ryan, B. L. (2021). The incidence of multimorbidity and patterns in accumulation of chronic conditions: A systematic review. Journal of Comorbidity, 11, 26335565211032880. https://doi.org/10.1177/26335565211032880 Lai, S.-W., Liao, K.-F., Lin, C.-L., Lin, C.-C., & Lin, C.-H. (2020). Longitudinal data of multimorbidity and polypharmacy in older adults in Taiwan from 2000 to 2013. BioMedicine, 10(2). https://doi.org/10.37796/2211-8039.1013 Larsen, F. B., Pedersen, M. H., Friis, K., Glümer, C., & Lasgaard, M. (2017). A Latent Class Analysis of Multimorbidity and the Relationship to Socio-Demographic Factors and Health-Related Quality of Life. A National Population-Based Study of 162,283 Danish Adults. PLoS ONE, 12(1), e0169426. https://doi.org/10.1371/journal.pone.0169426 Lee, M.-S., & Lee, H. (2024). Chronic Disease Patterns and Their Relationship With Health-Related Quality of Life in South Korean Older Adults With the 2021 Korean National Health and Nutrition Examination Survey: Latent Class Analysis. JMIR Public Health and Surveillance, 10, e49433. https://doi.org/10.2196/49433 Lin, H., Li, C., Lin, F., Chang, J., Gau, C., Luo, N., Pickard, A. S., Ramos-Goñi, J. M., Tang, C., & Hsu, C. (2018). EQ-5D-5L Valuation Study in Taiwan. Value in Health, 21, S91. https://doi.org/10.1016/j.jval.2018.07.685 Making more of multimorbidity: An emerging priority—The Lancet. (n.d.). Retrieved April 10, 2025, from https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(18)30941-3/fulltext Megari, K. (2013). Quality of Life in Chronic Disease Patients. Health Psychology Research, 1(3), e27. https://doi.org/10.4081/hpr.2013.e27 Muth, C., Blom, J. W., Smith, S. M., Johnell, K., Gonzalez-Gonzalez, A. I., Nguyen, T. S., Brueckle, M.-S., Cesari, M., Tinetti, M. E., & Valderas, J. M. (2019). Evidence supporting the best clinical management of patients with multimorbidity and polypharmacy: A systematic guideline review and expert consensus. Journal of Internal Medicine, 285(3), 272–288. https://doi.org/10.1111/joim.12842 Ng, S. K., Tawiah, R., Sawyer, M., & Scuffham, P. (2018). Patterns of multimorbid health conditions: A systematic review of analytical methods and comparison analysis. International Journal of Epidemiology, 47(5), 1687–1704. https://doi.org/10.1093/ije/dyy134 N’Goran, A. A., Blaser, J., Senn, N., Frey, P., Haller, D. M., Tandjung, R., Zeller, A., Burnand, B., & Herzig, L. (2016). From chronic conditions to relevance in multimorbidity: A four-step study in family medicine | Family Practice | Oxford Academic. https://academic.oup.com/fampra/article/33/4/439/1749443 Nguyen, H., Manolova, G., Daskalopoulou, C., Vitoratou, S., Prince, M., & Prina, A. M. (2019). Prevalence of multimorbidity in community settings: A systematic review and meta-analysis of observational studies. Journal of Comorbidity, 9, 2235042X19870934. https://doi.org/10.1177/2235042X19870934 Nichols, L., Taverner, T., Crowe, F., Richardson, S., Yau, C., Kiddle, S., Kirk, P., Barrett, J., Nirantharakumar, K., Griffin, S., Edwards, D., & Marshall, T. (2022). In simulated data and health records, latent class analysis was the optimum multimorbidity clustering algorithm. Journal of Clinical Epidemiology, 152, 164–175. https://doi.org/10.1016/j.jclinepi.2022.10.011 Nicholson, K., Liu, W., Fitzpatrick, D., Hardacre, K. A., Roberts, S., Salerno, J., Stranges, S., Fortin, M., & Mangin, D. (2024). Prevalence of multimorbidity and polypharmacy among adults and older adults: A systematic review. The Lancet Healthy Longevity, 5(4), e287–e296. https://doi.org/10.1016/S2666-7568(24)00007-2 Ock, M., Han, J. W., Lee, J. Y., Kim, S.-H., & Jo, M.-W. (2015). Estimating quality-adjusted life-year loss due to noncommunicable diseases in Korean adults through to the year 2040. Value in Health: The Journal of the International Society for Pharmacoeconomics and Outcomes Research, 18(1), 61–66. https://doi.org/10.1016/j.jval.2014.09.008 Ogaz-González, R., Zou, Q., Du, Y., Gutiérrez-Robledo, L. M., Escamilla-Santiago, R., López-Cervantes, M., & Corpeleijn, E. (2025). Multimorbidity patterns in older adults from Northern Netherlands: Comparing factor analysis and latent class analysis solutions. BMC Geriatrics, 25(1), 381. https://doi.org/10.1186/s12877-025-06029-x Olaya, B., Moneta, M. V., Caballero, F. F., Tyrovolas, S., Bayes, I., Ayuso-Mateos, J. L., & Haro, J. M. (2017). Latent class analysis of multimorbidity patterns and associated outcomes in Spanish older adults: A prospective cohort study. BMC Geriatrics, 17(1), 186. https://doi.org/10.1186/s12877-017-0586-1 Ou, S.-M., Chao, C.-T., Lin, M.-Y., Hsu, C.-C., Lin, M.-H., Chou, C.-L., Hsu, Y.-H., Hwang, S.-J., Wu, M.-S., Wu, M.-Y., & Nephrology, T. S. of. (2024). Summary of the 2024 Annual Report on Kidney Disease in Taiwan. Acta Nephrologica, 38(4), 201–209. https://doi.org/10.6221/AN.202412_38(4).0001 Park, S. J., Ahn, S., & Park, K. H. (2016). Burden of Visual Impairment and Chronic Diseases. JAMA Ophthalmology, 134(7), 778–784. https://doi.org/10.1001/jamaophthalmol.2016.1158 Pati, S., Swain, S., Metsemakers, J., Knottnerus, J. A., & Akker, M. van den. (2017). Pattern and severity of multimorbidity among patients attending primary care settings in Odisha, India. PLOS ONE, 12(9), e0183966. https://doi.org/10.1371/journal.pone.0183966 Poblador-Plou, B., Akker, M. van den, Vos, R., Calderón-Larrañaga, A., Metsemakers, J., & Prados-Torres, A. (2014). Similar Multimorbidity Patterns in Primary Care Patients from Two European Regions: Results of a Factor Analysis. PLOS ONE, 9(6), e100375. https://doi.org/10.1371/journal.pone.0100375 Prazeres, F., & Santiago, L. (2018). Measuring multimorbidity in family practice—A comparison of two methods. Family Practice, 35(5), 571–575. https://doi.org/10.1093/fampra/cmy014 Puri, P., Singh, S. K., & Pati, S. (2022). Identifying non-communicable disease multimorbidity patterns and associated factors: A latent class analysis approach. BMJ Open, 12(7), e053981. https://doi.org/10.1136/bmjopen-2021-053981 Salive, M. E. (2013). Multimorbidity in older adults. Epidemiologic Reviews, 35, 75–83. https://doi.org/10.1093/epirev/mxs009 Schäfer, I., Kaduszkiewicz, H., Wagner, H.-O., Schön, G., Scherer, M., & van den Bussche, H. (2014). Reducing complexity: A visualisation of multimorbidity by combining disease clusters and triads. BMC Public Health, 14, 1285. https://doi.org/10.1186/1471-2458-14-1285 Seedat, S., Scott, K. M., Angermeyer, M. C., Berglund, P., Bromet, E. J., Brugha, T. S., Demyttenaere, K., de Girolamo, G., Haro, J. M., Jin, R., Karam, E. G., Kovess-Masfety, V., Levinson, D., Medina Mora, M. E., Ono, Y., Ormel, J., Pennell, B.-E., Posada-Villa, J., Sampson, N. A., … Kessler, R. C. (2009). Cross-National Associations Between Gender and Mental Disorders in the World Health Organization World Mental Health Surveys. Archives of General Psychiatry, 66(7), 785–795. https://doi.org/10.1001/archgenpsychiatry.2009.36 Sharma, D. C. (2006). WHO groups cancer together with chronic diseases. The Lancet Oncology, 7(3), 200. https://doi.org/10.1016/S1470-2045(06)70600-3 Shri, N., Singh, S., & Singh, S. K. (2024). Latent class analysis of chronic disease co-occurrence, clustering and their determinants in India using Study on global AGEing and adult health (SAGE) India Wave-2. Journal of Global Health, 14, 04079. https://doi.org/10.7189/jogh.14.04079 Sim, S. Z., Koh, H. L., Lee, S. P. S., Young, D. Y. L., & Lee, E. S. (2020). How does multimorbidity affect middle-aged adults? A cross-sectional survey in the Singapore primary healthcare setting. BMC Family Practice, 21, 190. https://doi.org/10.1186/s12875-020-01262-2 Sinha, P., Calfee, C. S., & Delucchi, K. L. (2021). Practitioner’s Guide to Latent Class Analysis: Methodological Considerations and Common Pitfalls. Critical Care Medicine, 49(1), e63–e79. https://doi.org/10.1097/CCM.0000000000004710 Skou, S. T., Mair, F. S., Fortin, M., Guthrie, B., Nunes, B. P., Miranda, J. J., Boyd, C. M., Pati, S., Mtenga, S., & Smith, S. M. (2022). Multimorbidity. Nature Reviews Disease Primers, 8(1), 1–22. https://doi.org/10.1038/s41572-022-00376-4 Tan, M. M. C., Prina, A. M., Muniz-Terrera, G., Mohan, D., Ismail, R., Assefa, E., Keinert, A. Á. M., Kassim, Z., Allotey, P., Reidpath, D., & Su, T. T. (2022). Prevalence of and factors associated with multimorbidity among 18 101 adults in the South East Asia Community Observatory Health and Demographic Surveillance System in Malaysia: A population-based, cross-sectional study of the MUTUAL consortium. BMJ Open, 12(12), e068172. https://doi.org/10.1136/bmjopen-2022-068172 Tatjana T. Makovski, Susanne Schmitz, Maurice P. Zeegers, Saverio Stranges, & Marjan van den Akker. (2019). Multimorbidity and quality of life: Systematic literature review and meta-analysis. Ageing Research Reviews, 53, 100903. https://doi.org/10.1016/j.arr.2019.04.005 The Academy of Medical Sciences. (2018). Multimorbidity: A priority for global health research. Tran, P. B., Kazibwe, J., Nikolaidis, G. F., Linnosmaa, I., Rijken, M., & van Olmen, J. (2022). Costs of multimorbidity: A systematic review and meta-analyses. BMC Medicine, 20(1), 234. https://doi.org/10.1186/s12916-022-02427-9 Valderas, J. M., Starfield, B., Sibbald, B., Salisbury, C., & Roland, M. (2009). Defining comorbidity: Implications for understanding health and health services. Annals of Family Medicine, 7(4), 357–363. https://doi.org/10.1370/afm.983 van den Akker, M., Buntinx ,Frank, & and Knottnerus, J. A. (1996). Comorbidity or multimorbidity: What’s in a name? A review of literature. European Journal of General Practice, 2(2), 65–70. https://doi.org/10.3109/13814789609162146 Van Wilder, L., Devleesschauwer, B., Clays, E., De Buyser, S., Van der Heyden, J., Charafeddine, R., Boeckxstaens, P., De Bacquer, D., Vandepitte, S., & De Smedt, D. (2022). The impact of multimorbidity patterns on health-related quality of life in the general population: Results of the Belgian Health Interview Survey. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 31(2), 551–565. https://doi.org/10.1007/s11136-021-02951-w Violan, C., Foguet-Boreu, Q., Flores-Mateo, G., Salisbury, C., Blom, J., Freitag, M., Glynn, L., Muth, C., & Valderas, J. M. (2014). Prevalence, determinants and patterns of multimorbidity in primary care: A systematic review of observational studies. PloS One, 9(7), e102149. https://doi.org/10.1371/journal.pone.0102149 Violán, C., Foguet-Boreu, Q., Roso-Llorach, A., Rodriguez-Blanco, T., Pons-Vigués, M., Pujol-Ribera, E., Muñoz-Pérez, M. Á., & Valderas, J. M. (2014). Burden of multimorbidity, socioeconomic status and use of health services across stages of life in urban areas: A cross-sectional study. BMC Public Health, 14(1), 530. https://doi.org/10.1186/1471-2458-14-530 Wei, M. Y., Kawachi, I., Okereke, O. I., & Mukamal, K. J. (2016). Diverse Cumulative Impact of Chronic Diseases on Physical Health-Related Quality of Life: Implications for a Measure of Multimorbidity. American Journal of Epidemiology, 184(5), 357–365. https://doi.org/10.1093/aje/kwv456 World Health Organization. (2016). Multimorbidity: Technical Series on Safer Primary Care. World Health Organization. World Health Organization. (2023, September 16). Non communicable diseases. https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases Xu, R. H., Cheung, A. W. L., & Wong, E. L.-Y. (2017). Examining the health-related quality of life using EQ-5D-5L in patients with four kinds of chronic diseases from specialist outpatient clinics in Hong Kong SAR, China. Patient Preference and Adherence, Volume 11, 1565–1572. https://doi.org/10.2147/PPA.S143944 Zemedikun, D. T., Gray, L. J., Khunti, K., Davies, M. J., & Dhalwani, N. N. (2018). Patterns of Multimorbidity in Middle-Aged and Older Adults: An Analysis of the UK Biobank Data. Mayo Clinic Proceedings, 93(7), 857–866. https://doi.org/10.1016/j.mayocp.2018.02.012 Zhang, X., Padhi, A., Wei, T., Xiong, S., Yu, J., Ye, P., Tian, W., Sun, H., Peiris, D., Praveen, D., & Tian, M. (2022). Community prevalence and dyad disease pattern of multimorbidity in China and India: A systematic review. BMJ Global Health, 7(9). https://doi.org/10.1136/bmjgh-2022-008880 Zhu, Y., Edwards, D., Payne, R. A., & Kiddle, S. (2019). Characteristics, service use, and mortality of clusters of multimorbid patients in England: A population-based study. The Lancet, 394, S102. https://doi.org/10.1016/S0140-6736(19)32899-5 張雅嵐. (2021). 臺灣老年人多重慢性病及健康行為與健康相關生活品質之相關性研究_. https://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22109NCKU5058020%22.&searchmode=basic 衛生福利部中央健康保險署. (2024). 2023年全民健康保險醫療費用前二十大疾病. 衛生福利部國民健康署. (2021). 2021年國民健康訪問調查結果報告. 衛生福利部國民健康署, & 國家衛生研究院. (2021). 2017年國民健康訪問調查結果報告. 衛生福利部國民健康署. 陳冠宏. (2010). 台灣中老年人常見慢性病之症狀管理認知與因素探討 (Issue 2010年, p. 92) [長榮大學]. https://doi.org/10.6833/CJCU.2010.00143 | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/99894 | - |
| dc.description.abstract | 研究背景與目的：
隨著人口高齡化與慢性病患增加，多重共病已成為公共衛生與醫療照護的重要議題。然而，台灣針對成人多重共病模式仍缺乏本土實證。本研究旨在應用潛在類別分析辨識台灣成人慢性病患者之多重共病潛在類別，並探討其在健康生活品質或社會經濟條件上的異質性。 研究方法： 用2017年國民健康訪問調查外釋資料，分析5,669位年齡≥20歲且至少罹患一種慢性病的成人。以14種自述經醫師診斷的慢性疾病作為指標變項進行潛在類別分析，運用貝葉斯資訊準則(BIC)、熵值及類別比例等指標決定最適類別數。採用EQ-5D-5L量表評估健康相關生活品質，並運用卡方檢定及邏輯迴歸分析探討各類別與人口學、社會經濟變項的關聯。健康效用值比較採用Kruskal-Wallis檢定與事後分析。 研究結果： 研究結果顯示台灣成人慢性病患者存在明顯的多重共病潛在類別，成功辨識出七種多重共病模式：心血管-代謝群、肝膽疾病群、氣喘群、高血脂群(16.5%)、高血壓群、糖尿病群及混合疾病群。各類別之間的健康相關生活品質（EQ-5D效用值及五種構面）也呈現顯著差異，某些疾病組合的健康效用明顯較低。此外，人口學與社經因素，例如年齡增加、女性性別、較低教育程度與收入，皆顯著提高屬於特定多重共病類別的風險。 結論： 本研究透過潛在類別分析成功辨識出七個台灣成人慢性病患者之多重共病模式，並確認其與健康生活品質的密切關聯。結果凸顯了針對特定多重共病族群進行精準醫療與整合性照護的重要性，建議未來醫療政策應更加重視不同共病模式之差異化管理策略，以提升患者整體生活品質。 | zh_TW |
| dc.description.abstract | Background and Objective:
With population aging and increasing chronic diseases, multimorbidity has become a critical healthcare issue. However, local empirical evidence on multimorbidity patterns among Taiwanese adults remains lacking. This study aims to identify latent classes of multimorbidity among Taiwanese adults with chronic diseases and explore their heterogeneity in health-related quality of life and socioeconomic conditions. Methods: Using 2017 National Health Interview Survey data, we analyzed 5,669 adults aged ≥20 years with at least one chronic disease. Latent class analysis was performed using 14 self-reported physician-diagnosed chronic diseases. The optimal number of classes was determined using Bayesian Information Criterion, entropy, and class proportions. Health-related quality of life was assessed using EQ-5D-5L. Chi-square tests and logistic regression examined associations with demographic and socioeconomic variables. Results: Seven distinct multimorbidity patterns were identified: cardio-metabolic, liver disease, asthma, hyperlipidemia, hypertension, diabetes, and relatively healthy groups. Significant differences in health-related quality of life were observed between classes. Advanced age, lower education, and lower income significantly increased the risk of belonging to specific high-burden multimorbidity classes. Conclusion: This study identified seven distinct multimorbidity patterns among Taiwanese adults and confirmed their associations with health-related quality of life. The findings highlight the importance of differentiated management strategies for various multimorbidity patterns to improve patient outcomes. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-09-19T16:13:23Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-09-19T16:13:23Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 口試委員會審定書 I
中文摘要 II 英文摘要 IV 表次 VIII 圖次 IX 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 6 第三節 研究問題 6 第二章 文獻回顧 7 第一節 多重共病的定義與分群方式 7 第二節 人口學與社會決定因素對多重共病族群的影響 15 第三節 多重慢性病與健康生活品質的關係 17 第三章 研究方法 23 第一節 研究設計與架構 23 第二節 研究假說 25 第三節 資料來源與研究對象 26 第四節 研究變項操作型定義 27 第五節 統計分析方法 35 第四章 研究結果 38 第一節 資料處理結果 38 第二節 描述性統計 39 第三節 多重共病潛在類別辨識 47 第四節 多重共病潛在類別與人口學與社會因素的關聯 55 第五節 多重共病潛在類別與健康相關生活品質的關聯 63 第五章 討論 70 第一節 主要研究結果 70 第二節 文獻比較 72 第三節 研究限制 75 第六章 結論 80 參考文獻 82 附錄 103 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 多重共病 | zh_TW |
| dc.subject | 潛在類別分析 | zh_TW |
| dc.subject | 健康相關生活品質 | zh_TW |
| dc.subject | EQ-5D | zh_TW |
| dc.subject | 成人慢性病 | zh_TW |
| dc.subject | adult chronic diseases | en |
| dc.subject | latent class analysis | en |
| dc.subject | health-related quality of life | en |
| dc.subject | EQ-5D | en |
| dc.subject | multimorbidity | en |
| dc.title | 運用潛在類別分析探討台灣成人多重慢性病異質性：共病模式與健康生活品質 | zh_TW |
| dc.title | Multimorbidity Heterogeneity in Taiwanese Adults: A Latent Class Analysis of Multimorbidity Patterns and Health-Related Quality of Life | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 林青青;林芳如 | zh_TW |
| dc.contributor.oralexamcommittee | CHING-CHING LIN;FANG-JU LIN | en |
| dc.subject.keyword | 多重共病,潛在類別分析,健康相關生活品質,EQ-5D,成人慢性病, | zh_TW |
| dc.subject.keyword | multimorbidity,latent class analysis,health-related quality of life,EQ-5D,adult chronic diseases, | en |
| dc.relation.page | 108 | - |
| dc.identifier.doi | 10.6342/NTU202503941 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2025-08-06 | - |
| dc.contributor.author-college | 公共衛生學院 | - |
| dc.contributor.author-dept | 健康政策與管理研究所 | - |
| dc.date.embargo-lift | 2030-08-05 | - |
| 顯示於系所單位： | 健康政策與管理研究所 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-113-2.pdf 未授權公開取用 | 2 MB | Adobe PDF | 檢視/開啟 |
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。