Analysis of Health-Related Quality of Life in Elderly Patients with Stroke Complicated by Hypertension in China Using the EQ-5D-3L Scale

References

• Wang YJ, Li ZX, Gu HQ, et al. China Stroke Statistics: an update on the 2019 report from the national center for healthcare quality management in neurological diseases. China national clinical research center for neurological diseases, the Chinese stroke association, national center for chronic and non-communicable disease control and Prevention, Chinese center for disease control and prevention and institute for global neuroscience and stroke collaborations. Stroke Vasc Neurol. 2022;7(5):415–450. doi:10.1136/svn-2021-001374
   PubMedGoogle Scholar
• Owolabi MO, Thrift AG, Mahal A, et al. Primary stroke prevention worldwide: translating evidence into action. Lancet Public Health. 2022;7(1):e74–e85. doi:10.1016/S2468-2667(21)00230-9
   PubMed Web of Science ®Google Scholar
• Ma Q, Li R, Wang L, et al. Temporal trend and attributable risk factors of stroke burden in China, 1990–2019: an analysis for the global burden of disease study 2019. Lancet Public Health. 2021;6(12):e897–e906. doi:10.1016/S2468-2667(21)00228-0
   PubMed Web of Science ®Google Scholar
• Lou Y, Ma WJ, Wang ZJ, et al. Writing protocols for the Chinese clinical practice guidelines of hypertension. Chinese J Cardiol. 2022;50(07):671–675. doi:10.3760/cma.j.cn112148-20211126-01021
   Google Scholar
• Furie K. Epidemiology and Primary Prevention of Stroke. Continuum (Minneap Minn). 2020;26(2):260–267. doi:10.1212/CON.0000000000000831
   PubMedGoogle Scholar
• Castilla-Guerra L, Fernández-Moreno MDC. Update on the management of hypertension for secondary stroke prevention. Eur Neurol. 2012;68(1):1–7. doi:10.1159/000336836
   PubMed Web of Science ®Google Scholar
• le LA, Ji Y, Zhu S, et al. Risk probability and influencing factors of stroke in followed-up hypertension patients. BMC Cardiovasc Disord. 2022;22(1):328. doi:10.1186/s12872-022-02780-w
   PubMed Web of Science ®Google Scholar
• Wang C, Lang J, Xuan L, Li X, Zhang L. The effect of health literacy and self-management efficacy on the health-related quality of life of hypertensive patients in a western rural area of China: a cross-sectional study. Int J Equity Health. 2017;16(1):58. doi:10.1186/s12939-017-0551-9
   PubMed Web of Science ®Google Scholar
• Joundi RA, Patten SB, Lukmanji A, Williams JVA, Smith EE. Impairment in health-related quality of life among community-dwelling stroke survivors. Can J Neurol Sci. 2022;49(3):373–380. doi:10.1017/cjn.2021.119
   PubMed Web of Science ®Google Scholar
• Norman R, Cronin P, Viney R, King M, Street D, Ratcliffe J. International comparisons in valuing EQ-5D health states: a review and analysis. Value Health. 2009;12(8):1194–1200. doi:10.1111/j.1524-4733.2009.00581.x
   PubMed Web of Science ®Google Scholar
• Zhao Y, Hu Y, Smith JP, Strauss J, Yang G. Cohort profile: the china health and retirement longitudinal study (CHARLS). Int J Epidemiol. 2014;43(1):61–68. doi:10.1093/ije/dys203
   PubMed Web of Science ®Google Scholar
• Huang QB, Wang XH, Chen G. Reliability and Validity of 10-item CES-D among middle aged and older adults in China. China J Health Psychol. 2015;23(07):1036–1041. doi:10.13342/j.cnki.cjhp.2015.07.023
   Google Scholar
• Domínguez F, Fuster V, Fernández-Alvira JM, et al. Association of sleep duration and quality with subclinical atherosclerosis. J Am Coll Cardiol. 2019;73(2):134–144. doi:10.1016/j.jacc.2018.10.060
   PubMed Web of Science ®Google Scholar
• Huang L, Gao X. The interaction of obesity and craniofacial deformity in obstructive sleep apnea. Dentomaxillofac Radiol. 2021;50(4):20200425. doi:10.1259/dmfr.20200425
   PubMed Web of Science ®Google Scholar
• Ahn S, Han K, Lee JE, Jeun SS, Park YM, Yang SH. Associations of general and abdominal obesity with the risk of glioma development. Cancers. 2021;13(12):2859. doi:10.3390/cancers13122859
   PubMed Web of Science ®Google Scholar
• National Health and Family Planning Commission of the People’s Republic of China. WS/T 428-2013 Criteria of Weight for Adults[S]. Beijing: China Quality Inspection Press, Chinese Standards Press; 2013.
   Google Scholar
• Qu NN, Li KJ. Study on the reliability and validity of international physical activity questionnaire (Chinese Vision, IPAQ). Zhonghua Liu Xing Bing Xue Za Zhi. 2004;25(3):265–268.
   PubMedGoogle Scholar
• Thayabaranathan T, Andrew NE, Stolwyk R, Lannin NA, Cadilhac DA. Comparing the EQ-5D-3L anxiety or depression domain to the Hospital Anxiety and Depression Scale to identify anxiety or depression after stroke. Top Stroke Rehabil. 2022;29(2):146–155. doi:10.1080/10749357.2021.1895494
   PubMed Web of Science ®Google Scholar
• Almeida Lins WM, Tura BR, Kasal DA. The association between physical performance and health-related quality of life based on the EQ-5D-3L questionnaire in patients with Chagas disease. Value in Health Regional Issues. 2021;26:191–196. doi:10.1016/j.vhri.2021.09.002
   PubMedGoogle Scholar
• Wu TT, Lu Y, AI DD, Chen C, Chang F. Analyzing the health-related quality among the elderly with multiple chronic conditions in Jiangsu: estimation based on the EQ-5D Value Sets. Chin Gen Pract. 2020;23(S1):47–51.
   Google Scholar
• Garratt AM, Furunes H, Hellum C, et al. Evaluation of the EQ-5D-3L and 5L versions in low back pain patients. Health Qual Life Outcomes. 2021;19(1):155. doi:10.1186/s12955-021-01792-y
   PubMed Web of Science ®Google Scholar
• Liu G, Guan H, Jin X, Zhang H, Vortherms S, Wu H. Rural population’s preferences matter: a value set for The EQ-5D-3L health states for china’s rural population. Review. 2021;2021:1. doi:10.21203/rs.3.rs-746682/v1
   Google Scholar
• Vainiola T, Roine RP, Suojaranta-Ylinen R, Vento A, Sintonen H. Can factors related to mortality be used to predict the follow-up health-related quality of life (HRQoL) in cardiac surgery patients? Intens Crit Care Nurs. 2013;29(6):337–343. doi:10.1016/j.iccn.2013.04.003
   PubMed Web of Science ®Google Scholar
• BreimanLeo. Bagging predictors. Machine Learning; 1996. Available from: https://xueshu.baidu.com/usercenter/paper/show?paperid=1w650mn0bc760p70yf0x0gs0hm116084&site=xueshu_se. Accessed May 27, 2023.
   Google Scholar
• Fang KN, Wu JB, Zhu JP, Xie BC. A Review of Random Forest Methods. Statist Inform Forum. 2011;26(3):32–38.
   Google Scholar
• Chen T, Guestrin C. XGBoost: a Scalable Tree Boosting System. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM; 2016:785–794. doi:10.1145/2939672.2939785.
   Google Scholar
• Bjerregaard SS. Exploring predictors of welfare dependency 1, 3, and 5 years after mental health-related absence in Danish municipalities between 2010 and 2012 using flexible machine learning modelling. BMC Public Health. 2023;23(1):224. doi:10.1186/s12889-023-15106-y
   PubMed Web of Science ®Google Scholar
• Boo Y, Choi Y. Comparison of mortality prediction models for road traffic accidents: an ensemble technique for imbalanced data. BMC Public Health. 2022;22(1):1476. doi:10.1186/s12889-022-13719-3
   PubMed Web of Science ®Google Scholar
• Patel SS. Explainable machine learning models to analyse maternal health. Data Knowl. Eng. 2023;146:102198. doi:10.1016/j.datak.2023.102198
   Web of Science ®Google Scholar
• Zhang Z, Beck MW, Winkler DA, et al. Opening the black box of neural networks: methods for interpreting neural network models in clinical applications. Ann Transl Med. 2018;6(11):216. doi:10.21037/atm.2018.05.32
   PubMed Web of Science ®Google Scholar
• Ribeiro MT, Singh S, Guestrin C. “Why Should I Trust You?”: explaining the Predictions of Any Classifier. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM; 2016:1135–1144. doi:10.1145/2939672.2939778.
   Google Scholar
• Sundararajan M, Najmi A. The Many Shapley Values for Model Explanation. In: Proceedings of the 37th International Conference on Machine Learning. PMLR; 2020:9269–9278. Available from: https://proceedings.mlr.press/v119/sundararajan20b.html. Accessed May 29, 2023.
   Google Scholar
• Wei P, Lu Z, Song J. Variable importance analysis: a comprehensive review. Reliab Eng Syst Saf. 2015;142:399–432. doi:10.1016/j.ress.2015.05.018
   Web of Science ®Google Scholar
• Gromping. Variable importance assessment in regression: linear regression versus random forest. AMER STATIST; 2009. Availbale from: https://xueshu.baidu.com/usercenter/paper/show?paperid=033d60c22092b43a73121ab8c3d9d3e5&site=xueshu_se. Accessed May 27, 2023.
   Google Scholar
• Hong WS, Haimovich AD, Taylor RA. Predicting hospital admission at emergency department triage using machine learning. PLoS One. 2018;13(7):e0201016. doi:10.1371/journal.pone.0201016
   PubMed Web of Science ®Google Scholar
• Grekousis G, Feng Z, Marakakis I, Lu Y, Wang R. Ranking the importance of demographic, socioeconomic, and underlying health factors on US COVID-19 deaths: a geographical random forest approach. Health Place. 2022;74:102744. doi:10.1016/j.healthplace.2022.102744
   PubMed Web of Science ®Google Scholar
• Chang W, Ji X, Xiao Y, et al. Prediction of hypertension outcomes based on gain sequence forward tabu search feature selection and XGBoost. Diagnostics. 2021;11(5):792. doi:10.3390/diagnostics11050792
   Web of Science ®Google Scholar
• Molnar C. Interpretable Machine Learning. Available from: https://christophm.github.io/interpretable-mL-book/. Accessed July 23, 2023.
   Google Scholar
• Deng QW, Liu WB. Analysis of health-related quality of life and influencing factors in patients with stroke. J Nanj Med Univer. 2020;20(5):459–463.
   Google Scholar
• Bruthans J, Mayer O, De Bacquer D, et al. Educational level and risk profile and risk control in patients with coronary heart disease. Eur J Prev Cardiol. 2016;23(8):881–890. doi:10.1177/2047487315601078
   PubMed Web of Science ®Google Scholar
• Wahab KW, Kolo PM, Salawu FK, Sanya EO. Blood pressure control among hypertensive stroke survivors in nigeria. J Stroke Cerebrovasc Dis. 2017;26(6):1222–1227. doi:10.1016/j.jstrokecerebrovasdis.2017.01.011
   PubMed Web of Science ®Google Scholar
• Craig A, Mtintsilana A, Mapanga W, Dlamini SN, Norris SA. Socioeconomic position, perceived weight, lifestyle risk, and multimorbidity in young adults aged 18 to 35 years: a Multi-country Study. BMC Public Health. 2023;23(1):1360. doi:10.1186/s12889-023-16234-1
   PubMed Web of Science ®Google Scholar
• Gudina AT, Cheruvu VK, Gilmore NJ, et al. Health related quality of life in adult cancer survivors: importance of social and emotional support. Cancer Epidemiol. 2021;74:101996. doi:10.1016/j.canep.2021.101996
   PubMed Web of Science ®Google Scholar
• Sadlonova M, Wasser K, Nagel J, et al. Health-related quality of life, anxiety and depression up to 12 months post-stroke: influence of sex, age, stroke severity and atrial fibrillation – a longitudinal subanalysis of the Find-AFRANDOMISED trial. J Psychosom Res. 2021;142:110353. doi:10.1016/j.jpsychores.2020.110353
   PubMed Web of Science ®Google Scholar
• McClave AK, Dube SR, Strine TW, Mokdad AH. Associations between health-related quality of life and smoking status among a large sample of U.S. adults. Preventive Med. 2009;48(2):173–179. doi:10.1016/j.ypmed.2008.11.012
   PubMed Web of Science ®Google Scholar
• Liao W, Liu X, Kang N, et al. Associations between healthy lifestyle score and health-related quality of life among Chinese rural adults: variations in age, sex, education level, and income. Qual Life Res. 2023;32(1):81–92. doi:10.1007/s11136-022-03229-5
   PubMed Web of Science ®Google Scholar
• GBD 2020 Alcohol Collaborators. Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020. Lancet. 2022;400(10347):185–235. doi:10.1016/S0140-6736(22)00847-9
   PubMed Web of Science ®Google Scholar
• Liu N, Zeng L, Li Z, Wang J. Health-related quality of life and long-term care needs among elderly individuals living alone: a cross-sectional study in rural areas of Shaanxi Province, China. BMC Public Health. 2013;13(1):313. doi:10.1186/1471-2458-13-313
   PubMedGoogle Scholar
• Sun YA, Kalpakavadi S, Prior S, et al. Socioeconomic status and health-related quality of life after stroke: a systematic review and meta-analysis. Health Qual Life Outcomes. 2023;21(1):115. doi:10.1186/s12955-023-02194-y
   PubMed Web of Science ®Google Scholar
• Rizal H, Said MA, Abdul Majid H, et al. Health-related quality of life of younger and older lower-income households in Malaysia. PLoS One. 2022;17(2):e0263751. doi:10.1371/journal.pone.0263751
   PubMed Web of Science ®Google Scholar
• Chen S, Ling J, Cheng Y. Physical activity and body mass index were interactively related to health-related quality of life among older adults. Arch Gerontol Geriatrics. 2023;104:104833. doi:10.1016/j.archger.2022.104833
   PubMed Web of Science ®Google Scholar
• Choi MJ, Park YG, Kim YH, Cho KH, Nam GE. Association between type of exercise and health-related quality of life in adults without activity limitations: a nationwide cross-sectional study. BMC Public Health. 2020;20(1):599. doi:10.1186/s12889-020-08699-1
   PubMed Web of Science ®Google Scholar
• Levine D, Poole C, Hostetler C, et al. The association between sleep and health-related quality of life in stroke survivors. Arch Phys Med Rehabil. 2021;102(10):e28–e29. doi:10.1016/j.apmr.2021.07.541
   Google Scholar