Analysis of Influencing Factors of Perioperative Sleep Disorder in Patients with Lung Cancer
Objective To explore the influencing factors of perioperative sleep disorder of lung cancer patients.Methods 114 patients with lung cancer who underwent surgical treatment were selected,the perioperative sleep disorder of lung cancer pa-tients was investigated,and Logistic regression was applied to analyze the influencing factors of perioperative sleep disorder of lung cancer patients.Results The perioperative sleep disorder of lung cancer patients showed a dynamic trend of first increasing and then decreasing.Sleep disorder occurred on 41.23％of patients on the day of admission,50.88％on last day before operation,90.35％on the day of operation,85.09％on the first day after operation,and 60.53％on the day of discharge.Logistic regres-sion analysis showed that age＞60 years old(OR=1.525,P=0.002),female(OR=2.369,P=0.005),and economic status＜5000 yuan(OR=4.962,P=0.024)were independent risk factors for sleep disorder of lung cancer patients on the day of admis-sion;tumor stage Ⅱ and above(OR=6.002,P=0.001),anxiety(OR=3.792,P=0.034),depression(OR=3.818,P=0.001)were independent risk factors for sleep disorder of lung cancer patients on the last day before surgery;pain degree of"moderate pain"(OR=4.137,P=0.030),and pain degree of"severe pain"(OR=4.428,P=0.005)were independent risk factors for sleep disorder of lung cancer patients on the day of operation;"2 thoracic drainage tubes"(OR=3.963,P=0.004),"moderate pain"(OR=3.137,P=0.001)and"severe pain"(OR=4.428,P=0.002)were independent risk factors affecting sleep disorder of lung cancer patients on the first day after surgery;education level of"primary school and below"(OR=4.212,P=0.006)and preoperative lymph node metastasis(OR=2.451,P=0.008)were independent risk factors affecting sleep disor-der of lung cancer patients on the day of discharge.Conclusion Lung cancer patients are prone to perioperative sleep disorder,and its occurrence is related to multiple factors.Implementing targeted sleep management measures based on independent risk fac-tors will help improve the perioperative sleep quality of lung cancer patients.
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