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Journal of Nursing ›› 2023, Vol. 30 ›› Issue (23): 12-17.doi: 10.16460/j.issn1008-9969.2023.23.012

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  • Received:2023-07-14 Online:2023-12-10 Published:2024-01-09
[1] Mahadevan S, Chan MF, Moghadas M, et al.Post-stroke psychiatric and cognitive symptoms in West Asia,South Asia and Africa: a systematic review and Meta-analysis[J]. J Clin Med, 2021, 10(16):3655.DOI:10.3390/jcm10163655.
[2] Kwon CY, Lee B, Chung SY, et al.Herbal medicine for post-stroke anxiety: a systematic review and Meta-analysis of randomized controlled trials[J]. Complement Ther Clin Pract, 2019, 35:237-252.DOI:10.1016/j.ctcp.2019.02.015.
[3] 尹奎,彭坚, 张君. 潜在剖面分析在组织行为领域中的应用[J]. 心理科学进展, 2020, 28(7):1056-1070.DOI:10.3724/SP.J.1042.2020.01056.
[4] 中华医学会神经病学分会,脑血管病学组中华医学会神经病学分会.中国脑出血诊治指南(2019)[J].中华神经科杂志, 2019,52(12):994-1005. DOI:10.3760/cma.j.issn.1006-7876.2019.12.003.
[5] 彭斌,吴波. 中国急性缺血性脑卒中诊治指南2018[J]. 中华神经科杂志, 2018, 51(9):666-682.DOI:10.3760/cma.j.issn.1006-7876.2018.09.004.
[6] 何琪琪,钟起,徐雨洁,等. 本科护生网络素养的潜在剖面分析及其在线学习效果比较[J]. 护理学报, 2022, 29(2):62-67.DOI:10.16460/j.issn1008-9969.2022.02.062.
[7] 张乐芸. 脑卒中患者及其配偶照顾者二元疾病评价差异对焦虑抑郁的影响研究[D]. 郑州:郑州大学, 2021.
[8] Spitzer RL, Kroenke K, Williams JBW, et al.A brief measure for assessing generalized anxiety disorder: the GAD-7[J]. Arch Intern Med, 2006, 166(10):1092-1097.DOI:10.1001/archinte.166.10.1092.
[9] 何筱衍,李春波,钱洁,等. 广泛性焦虑量表在综合性医院的信度和效度研究[J]. 上海精神医学, 2010, 22(4):200-203.DOI:10.3969/j.issn.1002-0829.2010.04.002.
[10] Tedeschi RG, Calhoun LG.The posttraumatic growth inventory: measuring the positive legacy of trauma[J]. J Trauma Stress, 1996, 9(3):455-471.
[11] 汪际,陈瑶,王艳波,等. 创伤后成长评定量表的修订及信效度分析[J]. 护理学杂志, 2011, 26(14):26-28.DOI:10.3870/hlxzz.2011.14.026.
[12] Cohen S, Kamarck T, Mermelstein R.A global measure of perceived stress[J]. J Health Soc Behav, 1983, 24(4):385-396.
[13] 杨廷忠,黄汉腾. 社会转型中城市居民心理压力的流行病学研究[J]. 中华流行病学杂志, 2003, 24(9):760-764.DOI:10.3760/j.issn:0254-6450.2003.09.004.
[14] 苏永静,张小燕,张振路,等. 卒中后便秘对急性缺血性脑卒中患者预后的影响[J]. 护理学报, 2007, 14(9):4-6.DOI:10.3969/j.issn.1008-9969.2007.09.002.
[15] 汪麟,李继杨,孙连庆. 基于中医养生理论的辨证施护对缺血性脑卒中恢复期患者的影响[J].中华护理杂志, 2016, 51(2):181-185.DOI:10.3761/j.issn.0254-1796.2016.02.009.
[16] 刘玉华,郭富强,王建红,等. 中老年急性缺血性脑卒中患者共病状态与卒中后功能恢复的相关性研究[J]. 中国全科医学, 2020, 23(4):453-458. DOI:10.12114/j.issn.1007-9572.2019.00.614.
[17] Rosenberg J, P Beymer, D Anderson, et al. TidyLPA: an r package to easily carry out latent profile analysis(LPA) using open-source or commercial software[J].J Open Source Softw, 2018, 30(3):978.DOI:10.21105/joss.00978.
[18] 王孟成,毕向阳. 潜变量建模与Mplus应用·进阶篇[M]. 重庆: 重庆大学出版社, 2018:276.
[19] 舒渝茜,吴凡,章帆,鲁娇,赵航,王清,何治.卒中后焦虑发生机制的研究进展[J].生理学报,2022,74(4):648-656.DOI:10.13294/j.aps.2022.0058.
[20] 李娜,吴黎明,刘志健. 京津冀地区老年脑卒中失能患者焦虑、抑郁状况与家庭功能的相关性[J]. 中国老年学杂志,2021,41(19):4401-4404. DOI:10.3969/j.issn.1005-9202.2021.19.071.
[21] 胡义秋,方晓义,刘双金,等. 农村留守儿童焦虑情绪的异质性:基于潜在剖面分析[J]. 心理发展与教育, 2018, 34(3):346-352. DOI:10.16187/j.cnki.issn1001-4918.2018.03.11.
[22] Liu F, Yang D, Liu Y, et al.Use of latent profile analysis and k-means clustering to identify student anxiety profiles[J]. BMC Psychiatry, 2022, 22(1):12.DOI:10.1186/s12888-021-03648-7.
[23] 吕敏,李雪冰. 脑卒中后焦虑障碍研究现状[J]. 中国康复医学杂志, 2021, 36(3):353-359.DOI:10.3969/j.issn.1001-1242.2021.03.021.
[24] 崔慧敏,夏征,汪凤兰,等. 急性缺血性脑卒中患者疾病进展恐惧及其影响因素分析[J]. 现代临床护理, 2020, 19(10):20-25.DOI:10.3969/j.issn.1671-8283.2020.10.004.
[25] 范爱月,王英,虞丹,等. 急性缺血性脑卒中后焦虑状态的危险因素分析[J]. 上海医学, 2021, 44(1):22-25.DOI:10.19842/j.cnki.issn.0253-9934.2021.01.004.
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