以质量求发展,以服务铸品牌

Journal of Nursing ›› 2023, Vol. 30 ›› Issue (15): 69-73.doi: 10.16460/j.issn1008-9969.2023.15.069

Previous Articles     Next Articles

Current status of recurrence risk perception of patients with ischemic stroke and its influencing factors: a 251-case study

WANG Bei-bei, DUAN Si-yu, RAN Ming, SUN Yao, LI Ping   

  1. Dept. of Nursing Administration, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830000, China
  • Received:2023-05-11 Online:2023-08-10 Published:2023-09-08

Abstract: Objective To investigate the current status of recurrence risk perception of patients with ischemic stroke and analyze its influencing factors. Methods With convenience sampling, 251 ischemic stroke patients were selected from 2 tertiary grade-A hospitals in Urumqi from October 2022 to March 2023. They were investigated by general information questionnaire, Recurrence Risk Perception Scale for Patients with Ischemic Stroke and Chronic Illness Resource Survey(CIRS). Multiple linear regression analysis was used to explore the influencing factors of recurrence risk perception of patients with ischemic stroke. Results The total score of recurrence risk perception of ischemic stroke patients was 88.97±10.47.Multiple linear regression analysis showed that education background, the number of other diseases, the duration of stroke disease, the chronic disease resource utilization entered the regression equation(P<0.05), which explained 28.0% of the total variation. Conclusion The recurrence risk perception of ischemic stroke patients is at a moderate or above level. Education background, the number of other diseases, the duration of stroke disease, the chronic disease resource utilization are the main influencing factors of recurrence risk perception. It is suggested that in addition to providing technical and emotional support to patients, social resources including media, policies, and organizations should be considered to improve the accuracy of patients’ recurrence risk perception.

Key words: stroke, ischemic stroke, recurrence risk perception, utilization of chronic illness resources

CLC Number: 

  • R473.5
[1] 《中国脑卒中防治报告 2019》编写组. 《中国脑卒中防治报告2019》概要[J].中国脑卒中防治报告 2019》编写组. 《中国脑卒中防治报告2019》概要[J]. 中国脑血管病杂志, 2020,17(5):272-281.DOI: 10.3969/j.issn.1672-5921.2020.05.008.
[2] Aycock DM, Clark PC, Araya S.Measurement and outcomes of the perceived risk of stroke: a review[J]. West J Nurs Res, 2019,41(1):134-154.DOI:10.1177/0193945917747856.
[3] Slark J, Bentley P, Majeed A, et al.Awareness of stroke symptomatology and cardiovascular risk factors amongst stroke survivors[J]. J Stroke Cerebrovasc Dis, 2012,21(5):358-362.DOI:10.1016/j.jstrokecerebrovasdis.2010.09.010.
[4] 曹萌. 脑卒中患者慢性病资源利用、自我效能与健康行为的相关性研究[D]. 延边: 延边大学, 2022.
[5] Ghoreishi M, Vahedian-shahroodi M, Jafari A, et al. Self-care behaviors in patients with type 2 diabetes: education intervention base on social cognitive theory[J].Diabetes Metab Syndr, 2019, 13(3):2049-2056.DOI:10.1016/j.dsx.2019.04.045.
[6] Zhong H, Shao Y, Fan L, et al.Perceived resource support for chronic illnesses among diabetics in north-western China[J]. Front Med, 2016,10(2):219-227.DOI:10.1007/s11684-016-0441-3.
[7] Liu X, Zhang Z,Lin B,et al.Relationship between perceptions of recurrence risk and depression state among first-episode ischemic stroke patients in rural areas: the mediating role of coping style[J]. Nurs Open, 2023,10(7):4515-4525.DOI:10.1002/nop2.1695.
[8] Saengsuwan J, Suangpho P.Self-perceived and actual risk of further stroke in patients with recurrent stroke or recurrent transient ischemic attack in Thailand[J]. J Stroke Cerebrovasc Dis,2019,28(3):632-639.DOI:10.1016/j.jstrokecerebrovasdis.2018.11.001.
[9] Boden-Albala B, Carman H, Moran M, et al.Perception of recurrent stroke risk among black, white and hispanic ischemic stroke and transient ischemic attack survivors: the SWIFT Study[J]. Neuroepidemiology, 2011,37(2):83-87.DOI:10.1159/000329522.
[10] 张振香, 郭云飞, 林蓓蕾, 等. 脑卒中患者复发风险感知特征及相关因素的质性研究[J].中国全科医学, 2021,24(27):3494-3500. DOI:10.12114/j.issn.1007-9572.2021.00.570.
[11] 林蓓蕾, 郭云飞, 张振香, 等. 脑卒中患者疾病体验及其复发风险感知的质性研究[J]. 中华护理杂志, 2021,56(1):80-85.DOI:10.3761/j.issn.0254-1769.2021.01.013.
[12] 中华医学会神经病学分会, 中华医学会神经病学分会脑血管病学组.《中国急性缺血性脑卒中诊治指南2018》[J]. 中国现代神经疾病杂志, 2018,19(11):897-901.
[13] 孙振球,徐勇勇. 医学统计学[M]. 4版. 北京: 人民卫生出版社, 2016: 573-575.
[14] Glasgow RE, Toobert DJ, Barrera MJ, et al.The Chronic Illness Resources Survey: cross-validation and sensitivity to intervention[J]. Health Educ Res, 2005,20(4):402-409.DOI:10.1093/her/cyg140.
[15] 钟慧琴, 范玲, 邵亚, 等. 中文版慢性病资源调查问卷应用于糖尿病患者的信效度分析[J]. 中国全科医学, 2014,17(23):2779-2782.DOI:10.3969/j.issn.1007-9572. 2014.23.031.
[16] Zhang X, Chen H, Liu Y, et al.Influence of chronic illness resources on self-management and the mediating effect of patient activation among patients with coronary heart disease[J]. Nurs Open, 2021,8(6):3181-3189.DOI:10.1002/nop2.1031.
[17] 韩艳, 胡晶, 戴舒惠, 等. 缺血性脑卒中患者复发风险感知量表的编制及信效度检验[J].中华护理杂志, 2022,57(11):1359-1366.DOI:10.3761/j.issn.0254-1769.2022.11.012.
[18] 杨梅,肖静,蔡辉. 多元分析中的多重共线性及其处理方法[J].中国卫生统计, 2012,29(4):620-624.DOI:10.3969/j.issn.1002-3674.2012.04.057.
[19] 郭丽婷, 林蓓蕾, 胡亚男, 等. 社区脑卒中高危人群发病风险感知与健康行为的相关性研究[J]. 全科护理, 2021,19(32):4481-4484. DOI:10.12104/j.issn.1674-4748.2021.32.004.
[20] 崔江萍, 葛文杰, 方跃艳, 等. 229例中老年急性期脑卒中患者预立医疗照护计划准备度现状及影响因素分析[J]. 护理学报, 2022, 29(17):52-56.DOI:10.16460/j.issn1008-9969.2022.17.052.
[21] 唐宝丽, 吕玉华, 王线妮, 等. 首发缺血性脑卒中患者感知复发风险现况及影响因素研究[J].中华护理杂志, 2023,58(3):289-295.DOI:10.3761/j.issn.0254-1769.2023.03.005.
[22] Jiang C, Li Z, Du C, et al.Supportive psychological therapy can effectively treat post-stroke post-traumatic stress disorder at the early stage[J].Front Neurosci,2022,16:1007571.DOI:10.3389/fnins.2022.1007571.
[23] Das J, Rajanikant GK.Post stroke depression: the sequelae of cerebral stroke[J]. Neurosci Biobehav Rev, 2018, 90:104-114.DOI:10.1016/j.neubiorev.2018.04.005.
[24] 徐帆, 张继权, 谢绍菊, 等. 积极应对在女性乳腺癌幸存者心理一致感与创伤后应激反应间的中介效应[J]. 护理学报, 2022,29(21):55-60.DOI:10.16460/j.issn1008-9969.2022.21.055.
[25] 李月凤. 脑卒中患者健康行为现状及影响因素研究[D]. 长沙: 湖南中医药大学, 2020.
[26] 史文, 王小亮, 陈丽萍. 泰安市脑卒中患者社会支持与创伤后应激障碍之间的关系[J]. 医学与社会, 2023,36(2):79-83.DOI:10.13723/j.yxysh.2023.02.015.
[1] LI Zhuang-miao, YU Meng-ting, LIU Fang, LI Xia, LI Xiu-xia, YAN Wen-juan. Effect of hot medicated compress with moxa-salt on three yang meridians of hand on upper limb motor function of stroke patients with hemiplegia [J]. Journal of Nursing, 2023, 30(6): 61-67.
[2] ZHENG Si-qi, CHEN Lu, MA Qing, WANG Yu-han, CHENG Jie, WANG Yun-long. Effect of ninauralbeat music therapy on anxiety, depression and fatigue in patients with hemiplegia after stroke [J]. Journal of Nursing, 2023, 30(5): 72-78.
[3] ZHAO Xu, ZHAO Ya-ning, LI Jian-min, LIU Yao, ZHAO Da-ye, CHEN Chang-xiang. Construction of prognostic model of acute ischemic stroke in elderly individuals based on inflammatory and nutritional indicators [J]. Journal of Nursing, 2023, 30(11): 1-6.
[4] ZHANG Cheng-jie, JING Kun-juan, LIU Dong-xue. Efficacy comparison of nomogram and classification and regression tree in predicting stigma in elderly stroke patients [J]. Journal of Nursing, 2023, 30(11): 7-12.
[5] TU Ying, DU Dan-yang, SHU Yan, ZENG Tao. Best evidence summary of prevention of recurrent ischemic stroke [J]. Journal of Nursing, 2023, 30(11): 41-46.
[6] LI Xiang, FENG Ying-pu, MENG Xiao-jing, ZHOU Li-min, HUO Xiao-ran, XU Meng-min, WANG Hao. Best Evidence Summary of Oral Health Management for Stroke Patients [J]. Journal of Nursing, 2022, 29(9): 36-41.
[7] ZHU Jin-feng, FANG Ying-ying, WANG Fang, YUAN Ping, CHEN Lu. Exercise Compliance and Its Influence Factors in Stroke Patients: A Systematic Review of Qualitative Studies [J]. Journal of Nursing, 2022, 29(8): 7-13.
[8] YAN Wen-juan, LI Zhuang-miao, YU Meng-ting, LI Shi-en, CHI Yan-hong. Systematic Review of Influence Factors of Stigma in Stroke Patients [J]. Journal of Nursing, 2022, 29(8): 46-52.
[9] LIU Hui, GUO Li-rui, CHEN Qiu-xiang, LIU Chun-ying, HE Juan-feng, WU Xiao-jia. Relocation Stress on Admission of Acute Stroke Patients: A Phenomenological Study [J]. Journal of Nursing, 2022, 29(8): 75-78.
[10] YANG Jie, XIE Xiao-hua, LIAN Wan-cheng, YANG Mei, DENG Li-ping, PAN Lu. Construction and Verification of Predictive Model of Hemorrhage after Intravenous Thrombolysis in Acute Ischemic Stroke [J]. Journal of Nursing, 2022, 29(5): 10-14.
[11] LI Jing-wen, MEI Jin-jin, WANG Yi-ying, GUO Jian, REN Bin-bin, FENG Xiao-dong, LI Rui-qing. Bayesian Network Meta-analysis of Total Effective Rate of Different Acupuncture Methods for Post-stroke Limb Spasm [J]. Journal of Nursing, 2022, 29(3): 1-6.
[12] ZHANG Yuan-xing, CHEN Lu, JI Cui-ling, WANG Fang, YUAN Ping, HE Man-lan. Influencing Factors and Pathway Analysis of Functional Exercise Adherence in Young and Middle-aged Patients with Hemorrhagic Stroke [J]. Journal of Nursing, 2022, 29(20): 6-10.
[13] WEI Yu-qi, WANG Rui-rui, YANG Xia, AN Cong-cong, YANG Ting, YANG Xue-shi, LIU Yan-hui. Current Status and Influencing Factors of Nicotine Dependence in Smoking Stroke Patients [J]. Journal of Nursing, 2022, 29(18): 1-5.
[14] CHEN Xin-hao, LU Gen-di. Risk Factors of Cognitive Impairment after Ischemic Stroke: A Prospective Cohort Study [J]. Journal of Nursing, 2022, 29(18): 6-11.
[15] ZHAO Hong-yu, WANG Ming-ming, WANG Xiu-rong, WANG Hui-feng, LIU Lu. Construction of Extending Nursing Program for Family Caregivers of Stroke Patients Based on Information-Motivation-Behavioral Skills Model [J]. Journal of Nursing, 2022, 29(17): 65-69.
Viewed
Full text


Abstract

Cited

  Shared   
[1] HUANG Yi, LI Chao-feng, CHEN Dan, KONG Xiang-lin, FAN Ying-ying. Current status of bullying in nursing education among nursing undergraduates and its influence factors: a 234-case study[J]. Journal of Nursing, 2023, 30(14): 1 -6 .
[2] ZHANG Cui-cui, ZHONG Ya-li, ZHU Li-li, CHEN Lin, WANG Yao, ZHONG Ying, GONG Xi-yan, LIAO Chang-ju. Status quo of patient safety competence of nurses in tertiary grade-A hospitals and its influencing factors: a 1,320-case study in Sichuan Province[J]. Journal of Nursing, 2023, 30(14): 7 -12 .
[3] WANG Ruo-xian, HE Bin, Wang Yu-huan, LIU Ke-ru, TANG Xue-ting, ZHAO Shu-hua, WEI Shan-shan. Current status and influencing factors of osteoporotic fracture risk perception bias in community elderly people[J]. Journal of Nursing, 2023, 30(15): 1 -5 .
[4] SUN Li, HUANG Jia-li, HU Cheng-wen, GU Dao-qin, WEI Qi, FANG Min, LIU Qun-hui, XU Bao-hui. Construction of cultural sensitivity-based palliative care program for pediatric cancer patients[J]. Journal of Nursing, 2023, 30(15): 6 -10 .
[5] CAI Qian, LUO Wen, SUN Xin-xin, CHEN Rong, SONG Hui-zi, CAI Ye-peng, ZHANG Yi-ran, LIAO Yue-xia. Translation of Self-regulation of Eating Questionnaire and its reliability and validity in preschool children[J]. Journal of Nursing, 2023, 30(15): 11 -15 .
[6] PENG Ren-mei, QIAN Rong, LI Ya-jun, DUAN Huan, CHEN Lian-fang, LIU Yu-wen. Construction and validation of nomogram to predict sleep disorder risk in patients transferred from ICU[J]. Journal of Nursing, 2023, 30(15): 16 -22 .
[7] HUA Yun, WANG Wen-qin, LIU Zhi-mei, FENG Guo-he, DU Mo-han. Development of Supportive Care Need Scale for cancer patients with PICC and its reliability and validity[J]. Journal of Nursing, 2023, 30(15): 23 -28 .
[8] HU Jie-man, Miao Xue-yi, JIANG Xiao-man, TANG Chu-lei, XU Qin. Construction of core competency evaluation index system for community oncology nurse specialists[J]. Journal of Nursing, 2023, 30(15): 29 -32 .
[9] ZHANG Suo-fei, LUO Yu. SWOT analysis of cross university curriculum construction for masters of nursing based on virtual teaching and research section[J]. Journal of Nursing, 2023, 30(15): 33 -37 .
[10] YANG Qing, WANG Yan, LUO Ying-xia, ZHU Yan. Construction of quality evaluation index system of advanced nursing practice case report[J]. Journal of Nursing, 2023, 30(15): 38 -42 .