Article(id=1322589978849296593, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1322589954702688372, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202408375, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1724083200000, receivedDateStr=2024-08-20, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793259623490, onlineDateStr=2026-10-29, pubDate=1736438400000, pubDateStr=2025-01-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793259623490, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793259623490, creator=13701087609, updateTime=1793259623490, updator=13701087609, issue=Issue{id=1322589954702688372, tenantId=1146029695717560320, journalId=1227665162245664772, year='2025', volume='52', issue='1', pageStart='1', pageEnd='192', issueExtLink='null', onlineDate='null', pubDate='1736438400000', pubDateStr='2025-01-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793259617734, creator='13701087609', updateTime=1793260023378, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322591656147276425, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1322589954702688372, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322591656147276426, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1322589954702688372, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=132, endPage=137, ext={EN=ArticleExt(id=1322589979059011794, articleId=1322589978849296593, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=The impact of post-stroke fatigue on self-management behaviors in stroke patients during recovery: a moderated mediation effect, columnId=1228016572451718132, journalTitle=Modern Preventive Medicine, columnName=Health and Social Behavior, runingTitle=null, highlight=null, articleAbstract=
Objective

To explore the mediating role of post-traumatic growth between post-stroke fatigue and self-management behaviors in stroke patients during recovery, as well as the moderating effect of caregiver contributions on the relationship between post-stroke fatigue and post-traumatic growth.

Methods

A convenience sampling method was used to collect data from 329 stroke patients in recovery and their primary caregivers. The study utilized a general information questionnaire, the Fatigue Severity Scale, the Post-Traumatic Growth Inventory, the Caregiver Contribution Scale for Self-Care in Stroke Patients, and the Stroke Self-Management Behavior Assessment Scale. Data analysis was performed using descriptive statistics, variance analysis, and correlation analysis with Mplus 8.3 software, while the PROCESS macro was employed to validate mediation and moderation effects.

Results

Post-traumatic growth served as a mediator between post-stroke fatigue and self-management behaviors (e=-0.072, 95%CI: -0.119 to -0.032), accounting for 18.18% of the total effect. The interaction term between post-stroke fatigue and caregiver contributions positively predicted post-traumatic growth (β=0.095, P < 0.05).

Conclusion

Healthcare professionals should focus on enhancing the level of post-traumatic growth in stroke patients during recovery and recognize the significant role of caregivers in the recovery process, thereby improving self-management behaviors.

, authors=Yu-xin WANG1, Nai-jiao XING2, Gao-pin LV2, Xin-xin LI3, Shan-yu WU1, authorsList=Yu-xin WANG, Nai-jiao XING, Gao-pin LV, Xin-xin LI, Shan-yu WU, authorCompany=null, correspAuthors=Shan-yu WU, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322589981252632793, articleId=1322589978849296593, tenantId=1146029695717560320, journalId=1227665162245664772, language=CN, title=卒中后疲劳对恢复期脑卒中患者自我管理行为的影响——有调节的中介作用, columnId=1228016572640461823, journalTitle=现代预防医学, columnName=健康与社会行为, runingTitle=null, highlight=null, articleAbstract=
目的

探讨恢复期脑卒中患者创伤后成长在卒中后疲劳与自我管理行为之间的中介作用以及照顾者贡献在卒中后疲劳与创伤后成长之间的调节作用。

方法

方便抽样收集329例恢复期脑卒中患者及其主要照顾者,采用一般资料调查表、疲劳严重度量表、创伤后成长评定问卷、照顾者在脑卒中患者自我护理贡献量表与脑卒中自我管理行为评定量表进行调查。采用Mplus8.3软件对数据应用描述性统计、方差分析、相关性分析,PROCESS程序对中介作用及调节效果进行验证。

结果

创伤后成长在卒中后疲劳与自我管理之间发挥着中介作用(e=-0.072,95%CI:-0.119~-0.032),中介效应占总效应比为18.18%;卒中后疲劳与照顾者贡献的交互项对创伤后成长具有正向的预测作用(β=0.095,P<0.05)。

结论

医护人员应注重提高恢复期脑卒中患者创伤后成长水平,重视照顾者在疾病恢复中的重要作用,进而提高其自我管理行为。

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王玉欣(2000—),女,硕士在读,研究方向:社区护理

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吴善玉,E-mail:
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Journal of Nursing Science, 2024, 39(6): 78-81.(In Chinese), articleTitle=Analysis of the subject-object interdependence model of family resilience on the fear of progression in stroke patients and their spousal caregivers, refAbstract=null)], funds=[Fund(id=1322589984889094414, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, awardId=ydkj202450, language=CN, fundingSource=延边大学应用基础项目(ydkj202450), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1322589981521068250, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, xref=1., ext=[AuthorCompanyExt(id=1322589981529456859, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, companyId=1322589981521068250, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=School of Nursing, Yanbian University, Yanbian Korean Autonomous Prefecture, Jilin 133002, China), AuthorCompanyExt(id=1322589981537845468, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, companyId=1322589981521068250, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.延边大学护理学院,吉林 延边 133002)]), AuthorCompany(id=1322589981596565725, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, xref=2., ext=[AuthorCompanyExt(id=1322589981604954334, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, companyId=1322589981596565725, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.康复大学青岛中心医院(青岛市中心医院)]), AuthorCompany(id=1322589981688840415, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, xref=3., ext=[AuthorCompanyExt(id=1322589981697229024, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, companyId=1322589981688840415, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=3.延边大学附属医院(延边医院)])], figs=[ArticleFig(id=1322589983790186756, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, language=EN, label=Figure 1, caption=Hypothetical model of the relationship between self-management behaviors and influencing factors in stroke recovery patients, figureFileSmall=BTDUeYXdsmMQ0G/JOpAr9g==, figureFileBig=ot1pOFJRANzxAfEtby1YAA==, tableContent=null), ArticleFig(id=1322589983878267141, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, language=CN, label=图1, caption=恢复期脑卒中患者自我管理行为及影响因素间假设模型, figureFileSmall=BTDUeYXdsmMQ0G/JOpAr9g==, figureFileBig=ot1pOFJRANzxAfEtby1YAA==, tableContent=null), ArticleFig(id=1322589984071205126, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, language=EN, label=Figure 2, caption=The moderating role of caregiver contribution in the relationship between post-stroke fatigue and p ost-traumatic growth, figureFileSmall=FpIfvFsG2kY1qryE9ZqcpQ==, figureFileBig=jHNKnCLl5HJReBjsJbehhw==, tableContent=null), ArticleFig(id=1322589984155091207, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, language=CN, label=图2, caption=照顾者贡献在卒中后疲劳和创伤后成长之间调节作用, figureFileSmall=FpIfvFsG2kY1qryE9ZqcpQ==, figureFileBig=jHNKnCLl5HJReBjsJbehhw==, tableContent=null), ArticleFig(id=1322589984222200072, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, language=EN, label=Table 1, caption=

Difference test of demographic variables on self-management

, figureFileSmall=null, figureFileBig=null, tableContent=
变量自我管理行为()t/F值P值
是否独居2.1520.032
否3.26±0.22
是3.17±0.25
睡眠质量9.276< 0.001
较差3.14±0.25
一般3.24±0.21
良好3.30±0.22
夜间睡眠时间(h)3.3550.037
< 63.21±0.24
6 ~ 83.27±0.21
>83.17±0.30
性别0.9110.363
男性3.26 ± 0.24
女性3.24 ± 0.21
年龄分段(岁 )0.8020.423
<603.27 ± 0.21
≥603.24 ± 0.23
文化程度2.0380.108
小学及以下3.24 ± 0.19
初中3.23 ± 0.24
高中/中专/职高3.32 ± 0.22
大专及以上3.23 ± 0.30
家庭人均月收入(元)2.2940.078
<2 0003.18 ± 0.29
2 000~4 0003.26 ± 0.21
4 000~6 0003.27 ± 0.20
≥6 0003.17 ± 0.31
您目前居住区域0.5610.571
城市3.25 ± 0.23
县或镇3.18 ± 0.27
农村3.28 ± 0.20
民族-1.3140.201
汉族3.25 ± 0.23
少数民族3.29 ± 0.14
职业类型1.9160.108
工人3.19 ± 0.22
务农3.20 ± 0.25
专业技术人员3.26 ± 0.29
干部3.27 ± 0.20
其他3.27 ± 0.21
付费形式1.7120.164
职工保险3.15 ± 0.25
居民医保/新农合3.31 ± 0.54
商业保险3.24 ± 0.22
自费3.27 ± 0.20
是否患有其他慢性病-0.9900.323
否3.22 ± 0.22
是3.25 ± 0.23
主要照顾者0.8420.432
配偶3.26 ± 0.23
子女3.22 ± 0.22
父母3.29 ± 0.03
患病类型-0.0630.95
缺血性脑卒中3.25 ± 0.21
出血性脑卒中3.25 ± 0.25
自理能力1.8760.155
完全自理3.27 ± 0.22
部分自理3.22 ± 0.21
不能自理3.23 ± 0.31
), ArticleFig(id=1322589984318669065, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, language=CN, label=表1, caption=

人口学变量在自我管理上的差异检验

, figureFileSmall=null, figureFileBig=null, tableContent=
变量自我管理行为()t/F值P值
是否独居2.1520.032
否3.26±0.22
是3.17±0.25
睡眠质量9.276< 0.001
较差3.14±0.25
一般3.24±0.21
良好3.30±0.22
夜间睡眠时间(h)3.3550.037
< 63.21±0.24
6 ~ 83.27±0.21
>83.17±0.30
性别0.9110.363
男性3.26 ± 0.24
女性3.24 ± 0.21
年龄分段(岁 )0.8020.423
<603.27 ± 0.21
≥603.24 ± 0.23
文化程度2.0380.108
小学及以下3.24 ± 0.19
初中3.23 ± 0.24
高中/中专/职高3.32 ± 0.22
大专及以上3.23 ± 0.30
家庭人均月收入(元)2.2940.078
<2 0003.18 ± 0.29
2 000~4 0003.26 ± 0.21
4 000~6 0003.27 ± 0.20
≥6 0003.17 ± 0.31
您目前居住区域0.5610.571
城市3.25 ± 0.23
县或镇3.18 ± 0.27
农村3.28 ± 0.20
民族-1.3140.201
汉族3.25 ± 0.23
少数民族3.29 ± 0.14
职业类型1.9160.108
工人3.19 ± 0.22
务农3.20 ± 0.25
专业技术人员3.26 ± 0.29
干部3.27 ± 0.20
其他3.27 ± 0.21
付费形式1.7120.164
职工保险3.15 ± 0.25
居民医保/新农合3.31 ± 0.54
商业保险3.24 ± 0.22
自费3.27 ± 0.20
是否患有其他慢性病-0.9900.323
否3.22 ± 0.22
是3.25 ± 0.23
主要照顾者0.8420.432
配偶3.26 ± 0.23
子女3.22 ± 0.22
父母3.29 ± 0.03
患病类型-0.0630.95
缺血性脑卒中3.25 ± 0.21
出血性脑卒中3.25 ± 0.25
自理能力1.8760.155
完全自理3.27 ± 0.22
部分自理3.22 ± 0.21
不能自理3.23 ± 0.31
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Regression analysis of mediation and moderation effects

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变量模型1
自我管理行为
模型2
创伤后成长
模型3
自我管理行为
模型4
创伤后成长
模型5
创伤后成长
卒中后疲劳-0.396***-0.263***-0.324***-0.220***-0.224***
创伤后成长0.273***
照顾者贡献0.339***0.332***
卒中后疲劳*照顾者贡献0.095*
R2值0.2240.1320.2890.2430.253
ΔR2值0.224***0.132***0.065***0.243***0.010*
F值18.677***9.792***21.797***17.232***15.538
), ArticleFig(id=1322589984461275403, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, language=CN, label=表2, caption=

中介效应和调节效应的回归分析

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变量模型1
自我管理行为
模型2
创伤后成长
模型3
自我管理行为
模型4
创伤后成长
模型5
创伤后成长
卒中后疲劳-0.396***-0.263***-0.324***-0.220***-0.224***
创伤后成长0.273***
照顾者贡献0.339***0.332***
卒中后疲劳*照顾者贡献0.095*
R2值0.2240.1320.2890.2430.253
ΔR2值0.224***0.132***0.065***0.243***0.010*
F值18.677***9.792***21.797***17.232***15.538
), ArticleFig(id=1322589984578715916, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, language=EN, label=Table 3, caption=

Effect analysis table

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效应Boot标准误效应值(95%CI)效应比例(%)
直接效应0.051-0.324(-0.424~-0.224)81.82
中介效应0.022-0.072(-0.119~-0.032)18.18
总效应0.051-0.396(-0.497~-0.296)
), ArticleFig(id=1322589984645824781, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1322589978849296593, language=CN, label=表3, caption=

效应分析表

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效应Boot标准误效应值(95%CI)效应比例(%)
直接效应0.051-0.324(-0.424~-0.224)81.82
中介效应0.022-0.072(-0.119~-0.032)18.18
总效应0.051-0.396(-0.497~-0.296)
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卒中后疲劳对恢复期脑卒中患者自我管理行为的影响——有调节的中介作用
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王玉欣 1 , 邢乃姣 2 , 吕高品 2 , 李鑫鑫 3 , 吴善玉 1
现代预防医学 | 健康与社会行为 2025,52(1): 132-137
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现代预防医学 |健康与社会行为 2025 , 52 (1) : 132 -137
卒中后疲劳对恢复期脑卒中患者自我管理行为的影响——有调节的中介作用
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王玉欣1, 邢乃姣2, 吕高品2, 李鑫鑫3, 吴善玉1
作者信息
  • 1.延边大学护理学院,吉林 延边 133002
  • 2.康复大学青岛中心医院(青岛市中心医院
  • 3.延边大学附属医院(延边医院
通讯作者:
吴善玉,E-mail:
作者简介:

王玉欣(2000—),女,硕士在读,研究方向:社区护理

The impact of post-stroke fatigue on self-management behaviors in stroke patients during recovery: a moderated mediation effect
Yu-xin WANG1, Nai-jiao XING2, Gao-pin LV2, Xin-xin LI3, Shan-yu WU1
Affiliations
  • School of Nursing, Yanbian University, Yanbian Korean Autonomous Prefecture, Jilin 133002, China
出版时间: 2025-01-10 doi: 10.20043/j.cnki.MPM.202408375
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目的

探讨恢复期脑卒中患者创伤后成长在卒中后疲劳与自我管理行为之间的中介作用以及照顾者贡献在卒中后疲劳与创伤后成长之间的调节作用。

方法

方便抽样收集329例恢复期脑卒中患者及其主要照顾者,采用一般资料调查表、疲劳严重度量表、创伤后成长评定问卷、照顾者在脑卒中患者自我护理贡献量表与脑卒中自我管理行为评定量表进行调查。采用Mplus8.3软件对数据应用描述性统计、方差分析、相关性分析,PROCESS程序对中介作用及调节效果进行验证。

结果

创伤后成长在卒中后疲劳与自我管理之间发挥着中介作用(e=-0.072,95%CI:-0.119~-0.032),中介效应占总效应比为18.18%;卒中后疲劳与照顾者贡献的交互项对创伤后成长具有正向的预测作用(β=0.095,P<0.05)。

结论

医护人员应注重提高恢复期脑卒中患者创伤后成长水平,重视照顾者在疾病恢复中的重要作用,进而提高其自我管理行为。

恢复期  /  卒中后疲劳  /  创伤后成长  /  照顾者贡献  /  自我管理行为
Objective

To explore the mediating role of post-traumatic growth between post-stroke fatigue and self-management behaviors in stroke patients during recovery, as well as the moderating effect of caregiver contributions on the relationship between post-stroke fatigue and post-traumatic growth.

Methods

A convenience sampling method was used to collect data from 329 stroke patients in recovery and their primary caregivers. The study utilized a general information questionnaire, the Fatigue Severity Scale, the Post-Traumatic Growth Inventory, the Caregiver Contribution Scale for Self-Care in Stroke Patients, and the Stroke Self-Management Behavior Assessment Scale. Data analysis was performed using descriptive statistics, variance analysis, and correlation analysis with Mplus 8.3 software, while the PROCESS macro was employed to validate mediation and moderation effects.

Results

Post-traumatic growth served as a mediator between post-stroke fatigue and self-management behaviors (e=-0.072, 95%CI: -0.119 to -0.032), accounting for 18.18% of the total effect. The interaction term between post-stroke fatigue and caregiver contributions positively predicted post-traumatic growth (β=0.095, P < 0.05).

Conclusion

Healthcare professionals should focus on enhancing the level of post-traumatic growth in stroke patients during recovery and recognize the significant role of caregivers in the recovery process, thereby improving self-management behaviors.

Recovery period  /  Post-stroke fatigue  /  Post-traumatic growth  /  Caregiver contributions  /  Self-management behaviors
王玉欣, 邢乃姣, 吕高品, 李鑫鑫, 吴善玉. 卒中后疲劳对恢复期脑卒中患者自我管理行为的影响——有调节的中介作用. 现代预防医学, 2025 , 52 (1) : 132 -137 . DOI: 10.20043/j.cnki.MPM.202408375
Yu-xin WANG, Nai-jiao XING, Gao-pin LV, Xin-xin LI, Shan-yu WU. The impact of post-stroke fatigue on self-management behaviors in stroke patients during recovery: a moderated mediation effect[J]. Modern Preventive Medicine, 2025 , 52 (1) : 132 -137 . DOI: 10.20043/j.cnki.MPM.202408375
脑卒中已成为导致全球死亡及伤残的第三大因素,同时也是中国成人致死、致残的首要病因[1-2]。研究表明,良好的自我管理行为可改善脑卒中患者的康复,减少病情恶化[3-5]。然而,相关研究显示,恢复期脑卒中患者的自我管理行为存在一定的缺陷[6-7],且受到生理、心理、家庭以及社会等多方面因素的影响[6-8],卒中后疲劳作为影响脑卒中患者自我管理行为的常见心理因素,其发生率处于25%~ 85%之间[9]。然而,卒中后疲劳对自我管理行为的具体影响机制尚未明确。ABC-X理论模型指出压力源(如疲劳)可通过负性情绪、资源及认知应对方式对个体产生直接或间接影响,从而导致积极或消极后果[10]。创伤后成长是应对压力的积极成果,有助于减轻患者的负面体验并提升自我管理行为[11]。研究发现,卒中后疲劳与创伤后成长之间存在显著负相关关系,疲劳程度度越低,创伤后成长水平越高,对恢复作用越好[12]。此外,照顾者对患者自我管理的贡献可以改善患者身心状态,降低疾病复发和再入院率,提高其自我管理行为[13]。目前已有研究探讨了卒中后疲劳、创伤后成长、照顾者贡献及自我管理行为两两之间的关系[14-18],但尚无关于四者关系的综合研究。因此,本研究基于ABC-X理论模型,将卒中后疲劳作为压力源事件,创伤后成长视作积极应对的内在驱动力,而照顾者贡献则是外部支撑与保障,探讨卒中后疲劳对自我管理行为的影响机制,以及其是否通过影响创伤后成长间接作用于自我管理行为,同时考察照顾者贡献在卒中后疲劳与创伤后成长之间的调节作用。提出的假设模型如图1所示。
采用方便抽样于2023年10月—2024年6月选取329对在延吉市两家三级甲等综合医院就诊的脑卒中患者及其主要照顾者进行问卷调查。患者纳入标准:(1)年龄≥18周岁者;(2)符合《2019年度我国各类重大脑血管病诊断标准》,经核磁共振或CT检查后确诊;(3)病程:恢复期,即发病≥14 d且<60 d;(4)生命体征平稳,神志清楚,具备较好的交际、阅读理解能力;(5)知情同意并自愿参加本研究。照顾者纳入标准:(1)年满18周岁;(2)与患者的关系为父母、配偶、子女或兄弟姐妹、孙子女;(3)每天提供至少4 h的看护,知情同意。排除标准(患者与照顾者排除标准一致):(1)有认知障碍、心理、精神疾病;(2)有严重合并症或患有威胁生命疾病者;(3)正在参与其他研究。本研究已经延边大学医学院医学伦理专业委员会审核同意(批号:202310111)。
本研究调查工具由一般资料调查表、疲劳严重程度量表、简体中文版创伤后成长评定问卷、照顾者在脑卒中患者自我护理贡献量表、脑卒中自我管理行为评定量表五部分组成。
自主设计而成,主要包括研究对象的年龄、性别、受教育水平、家庭月均收入、现居地、民族、疾病发作前的职业类别等方面。
该量表是由Krupp等[19]编制,王得新[20]汉化的一种单维度量表,包含9个条目,用来筛选卒中后疲劳患者。量表包含9个条目,采用Likert 7级评分法,将各项指标得分相加除以9,可以得出中文版疲倦严重度评分。得分≥4分的表示疲劳,得分<4分的表示不疲劳,在本研究中该量表的Cronbach α系数为0.905。
此内容是由Tedeschi等[21]于1996年编制,我国学者汪际[22]于2011年引进将其汉化修订的简体中文版C-PTGI,为普适性量表,涵盖了人生感悟、与他人关系、个人力量、新的可能性及自我转变5个维度,20个条目,旨在衡量受损者的身心发展状况,以反映其受损后的生活质量。问卷使用Likert 6级的评分法,分数越高,PTG水平越高。在本研究中该量表的Cronbach α系数为0.935。
该量表由VELLONE等[23]编制,CHEN等[24]于2021年进行汉化。该量表涵盖照顾者对自我护理维持的贡献、照顾者对自我护理监测的贡献、照顾者对自我护理管理的贡献3个分量表,包含4个维度,19个条目。采用Likert 5级评分法,得分越高表示照顾者对患者自我护理的贡献越大,得分≥70分表示照顾者对患者自我护理的贡献足够。在本研究中,该量表的Cronbach α系数为0.899。
该量表由王艳桥等所编制,旨在对脑卒中恢复期患者的自我管理行为进行评价。此量表包含疾病管理、安全用药、饮食、生活起居、情绪、康复锻炼、社会功能和人际管理11个维度,51个条目。每个条目的采用Likert 5级评分法,总分范围为0~255分,得分越高,自我管理行为越佳[25]。在本研究中,该量表的Cronbach α系数为0.818。
正式调查前,对项目团队成员进行标准化培训,包括详细解释问卷定义和统一指导语。通过预调查检验工具的可靠性,以确保调查质量。在研究过程中,确保参与者匿名,实时分发和收集问卷,排除无效数据。共发出350份问卷,回收有效问卷329份,回收率为94%。
采用Mplus 8.3和PROCESS程序进行数据分析。应用Harman单因素法检测共同方法偏差;皮尔逊相关分析明确变量关联;独立样本t检验和方差分析探查人口学变量和因变量的差异。使用Process 4.2中的Model 4和Model 7检验中介和调节效应,并通过bootstrap法模拟抽取5 000次样本。如果95%偏差校正置信区间不包含0,则结果显著,检验标准α设定为0.05。
通过Harman单因素法检测共同方法偏差,结果显示第一因素的解释力为13.99%,低于40%的阈值。这表明研究数据不存在显著的共同方法偏差问题。
卒中后疲劳与创伤后成长、照顾者贡献和自我管理行为均呈负相关(r=-0.309,P<0.001;r=-0.143,P<0.01;r=-0.436,P<0.001);创伤后成长与照顾者贡献及自我管理行为均呈正相关(r=0.389,P<0.001;r=0.399,P<0.001);照顾者贡献与自我管理行为呈正相关(r=0.194,P<0.001)。
经检验,不同居住形式、睡眠质量和夜间睡眠时间的自我管理行为得分存在统计学差异,见表1。
数据分析前将各因素得分经过规范化处理,采用PROCESS 4.2的model 4开展中介效应检验,模型1表明卒中后疲劳对自我管理行为具有负向预测作用(β=-0.396);模型2表明,卒中后疲劳对创伤后生长有负向预测作用(β=-0.263);模型3表明在加入创伤后成长后,卒中后疲劳仍对自我管理行为产生负向影响(β=-0.324),创伤后成长对自我管理行为具有正向预测作用(β=0.273);进一步检验照顾者贡献在卒中后疲劳和创伤后成长间的调节作用,模型4表明卒中后疲劳与照顾者贡献交互项对创伤后成长具有正向预测作用(β=0.095),表明照顾者贡献能够降低疲劳对创伤后成长的负向影响,见表2。以是否独居、睡眠质量和夜间睡眠时间作为控制变量,以卒中后疲劳作为自变量、创伤后成长作为中介变量、自我管理行为作为因变量构建中介模型,采用bootstrap法模拟抽样5 000次进行中介效应检验,结果显示创伤后成长在卒中后疲劳与自我管理行为之间起中介作用,中介效应为-0.072(95%CI:-0.119~-0.032),中介效应占比为-0.072/-0.396=18.18%,中介作用成立,见表3。
分别取卒中后疲劳和创伤后成长正负各一个标准差绘制简单斜率图,在低照顾者贡献度时,卒中后疲劳显著负向预测创伤后成长(β= -0.319,P<0.001);在高照顾者贡献度时,卒中后疲劳对创伤后成长无预测作用(β=-0.129,P=0.055),可以认为,与高照顾者贡献相比,卒中后疲劳对低照顾者贡献水平个体的创伤后成长的负向预测作用更强。见图2。
本研究结果进一步验证了恢复期脑卒中患者的卒中后疲劳可直接负向预测其自我管理行为(β=-0.436)。卒中后疲劳是脑卒中患者常见的压力源,对患者生活质量产生负面影响。严重的疲劳不仅削弱患者的精力和动力,影响其按时服药、康复训练等自我管理行为,还降低其社交能力和参与度,从而削弱自我管理的能力和积极性[26-29]。因此,医护人员应根据患者的身体状况制定个性化的运动计划,并提供必要的心理支持以帮助患者应对心理压力和情绪问题,从而减轻疲劳感,提高自我管理行为,促进疾病恢复。
本研究表明创伤后成长在卒中后疲劳与自我管理行为之间起到了部分中介作用。高疲劳与低自我管理行为之间存在显著的相关性,其中一部分影响通过患者创伤后成长进行中介。这与ABC-X理论相符,即高卒中后疲劳影响患者的压力应对方式,导致其创伤后成长水平降低,从而影响其自我管理行为。该现象的产生可能是因为卒中后疲劳严重影响患者的生理和心理状况,影响其康复效果,生活质量下降,增加患者的死亡率妨碍患者在恢复过程中的成长提升[30]。创伤后成长可以促使患者更加积极地面对疾病,使患者相信自己有能力应对疾病带来的挑战,有助于患者保持乐观的心态,患者会更加珍惜健康,认识到自我管理对康复的重要性,从而更加自觉地采取健康的行为[31]。因此,提示医护人员在对患者进行早期疾病干预时,可从情感上给予支持与理解,帮助患者树立积极信念,选择积极的生活方式,以降低脑卒中疾病康复过程中出现的疲劳情况,降低患者的负面情绪,促进其自我管理行为。
通过ABC-X理论构建调节模型发现,卒中后疲劳对创伤后成长的影响受照顾者贡献程度的影响:低照顾者贡献时,卒中后疲劳负向影响创伤后成长;高照顾者贡献时,卒中后疲劳不能负向影响创伤后成长,提高照顾者贡献,可以削弱卒中后疲劳的负向影响,从而促进其自我管理行为水平。患病初期的患者常常处于恐惧、焦虑、紧张的状态,而照顾者不仅能够缓解患者的心理困扰[32-33],还可以协助患者日常生活、康复训练和社会交往等功能的恢复,使患者有足够的信心进行疾病的康复,正确对待疾病的发展,显著改善患者疲劳等症状,提高其生活质量[23]。因此,在临床工作中,医护人员要重视照顾者的作用,正确发挥照顾者在患者康复过程中的积极作用,使照顾者和患者一起参与到患者疾病的康复进程中。
本研究基于ABC-X模式探讨卒中后疲劳、照顾者贡献、创伤后成长与自我管理行为之间的关系。结果显示,创伤后成长在卒中后疲劳与自我管理行为之间起部分中介作用,照顾者贡献有效调节卒中后疲劳与创伤后成长的关系。这为临床干预提供理论和实证支持,提示临床人员需关注患者心理健康和内在动力,以提升康复期应对能力,预防卒中后疲劳。此外,应重视照顾者的积极作用,以促进患者心理健康和自我管理,改善生活质量。然而,本研究存在不足之处:其为横向研究,无法推导因果关系,未来可进行纵向分析,进一步探讨各变量之间的关系,使结果更加准确。
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doi: 10.20043/j.cnki.MPM.202408375
  • 接收时间:2024-08-20
  • 首发时间:2026-10-29
  • 出版时间:2025-01-10
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    1.延边大学护理学院,吉林 延边 133002
    2.康复大学青岛中心医院(青岛市中心医院
    3.延边大学附属医院(延边医院

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
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