基于生物－心理－社会模型探讨机器人辅助肺部手术患者术后睡眠障碍的影响因素及护理对策

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中图分类号 R655.3 TP242 文献标识码 A 文章编号 2096-7721（2025）11-1971-07

Influencing factors and nursing strategies for postoperative sleep disorders in patients undergoing robot-assisted lung surgery based on thebiopsychosocial model

DU Lihong， YANG Liu， LIU Jing， ZHOU Yujing， GAO Chanqi （DepartmentofhoracicSurgery，hanghaiPulmonaryHospitalAfiiatedtoTongjiUniversity，hanghai2O433，Chin

AbstractObjectiveToexploretheinfluencingfactors ofpostoperativesleedisoders inpatientsundergoingrobot-aistedung surgeryasedontheiopsyhosocialodel，ndtoproposecorrspondingnursingcountermeasures.Methods：Aprospectivestudy designwasadoptd，ivolng2ptintsondewentobot-asistedungsurgeryatSangaiPmoryHospitalAfledtgi Universityfrom January2O21toDecember 223.ThePitsburghslpqualityindex （PSQI）wasusedtoasesstheirpostoperative sleep quality.Patientswitsepdisorderswereassgedtotesleepdisordergroup，hileteothrswereassedtotenonslepdisoder group.Theimpactsoflogical，sychological，andsocialactorsnostoperatieseepdsoders werealed，andident influencingfactorswerescreenedtroughmultiplelinearregressionanalysis.Targetednursingcountermeasureswerealsoproposed. Results： The incidence of postoperative sleep disorders in patients undergoing robot-assisted lung surgery was 56.92% . Multiple linearegresionanalsissodtatpreopeaienutrialstatus，postoperativepaisoe，umberofpostoperativeoplatios， postoperativerd，topatieietyndosopetieeprioreepetieingtorsfoie sleep disorders （P<0.05） . Nursing interventions should use a biopsychosocial framework to comprehensively improve patients’ postoperativesleepqualityConclusion：Postoperativesleepdisordersinpatientsundergngrobot-asistedlungsurgeryareinfluenced bybiological，oloal，dialctosgeedsingeesprepts’saitycei recovery outcomes.

KeywordsBiopsychosocialModel;Robot-assistedSurgery;SleepDisorders;InfluencingFactors;NursingCountermeasures

机器人辅助肺部手术因其微创性、高精度和术后恢复快等优势，已广泛应用于肺部疾病的外科治疗[1-2]。（剩余9134字）