Single factor analysis showed that motion sickness history and seasickness self-efficacy were statistically significant(P<0.001).
经单因素分析结果显示晕动病历史问卷、晕船自我效能感有显著统计学意义（P<0.001）；
Digital motion sickness can happen to anyone, though studies reveal the affliction effects more women than men. Those who have a history of migraines are also more susceptible.
数字晕车这种病在任何人的身上都有可能发生，研究表明，就这种病的发病率而言，女性比男性更高。那些有偏头痛病史的人也同样容易的患这种病。
Results the obvious factors associated with PONV included gender, type of anesthesia, duration of surgery, to use opioids postoperatively and history of motion sickness.
结果显著影响PONV发生率的因素有性别、麻醉方式、手术时间、术后阿片类药物镇痛及既往PONV或晕动病史。
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