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四肢骨折患儿焦虑抑郁情绪及影响因素分析 被引量:21

Anxiety and depression of the child patients with limb fracture and analysis of influential factors
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摘要 目的调查四肢骨折患儿焦虑、抑郁水平及其影响因素,为儿童创伤后心理护理模式提供临床依据。方法采用儿童抑郁障碍自评量表及儿童焦虑情绪障碍筛查量表及自制的家长骨折知识问卷,对37例四肢骨折患儿情绪及应对方式进行调查,经过统计分析,找出可能影响骨折患儿情绪的因素。结果儿童创伤后焦虑情绪在<10岁与≥10岁的儿童间差异有统计学意义(P<0.05);家长能够答对≥4道骨折知识题目的患儿抑郁和焦虑情绪得分较低,与家长答对<4题的患儿比较差异有统计学意义(P<0.01)。结论患儿年龄、家长对骨折知识的掌握程度能够影响骨折患儿焦虑、抑郁水平,在临床工作中应重视关注10岁以下儿童的情绪波动以及患儿父母的健康宣教。 To provide clinical evidence for the mental nursing mode of child patients with limb fracture through investigation of the anxiety and depression status and analysis of influential factors in traumatic child patients.An investigation was made on the mode and coping style of 37 child patients with limb fracture,by using the self-rating depression scale(SDS),the self-rating anxiety scale(SAS)for children,and the self-made fracture knowledge questionnaire.Possible influential factors affecting the mode of child patients were found out,through statistical analysis.There was statistical significance in anxiety in child patients between the ages of less than10 years old and more than 10 years old following trauma(P<0.05);The SDS and SAS survey revealed that the children whose parents could correctly answer more than 4 questions(7 questions in total)about the knowledge of fracture got lower scores than other parents,and statistical significance could be noted when comparisons were made between them(P<0.01).The age of child patients and fracture knowledge of parents had obvious impact on depression and anxiety.Attention should be paid to mode change in child patients of less than 10 years old,and efforts should be made to intensify propaganda among parents of child patients
作者 赵艳君 俞群 汪斐 朱婷 陈燕 缪春叶 鲁斐 Zhao Yanjun;Yu Qun;Wang Fei;Zhu Ting;Chen Yan;Liao Chunye;Lu Fei(Xinhua Hospital Affiliated to Medical College,Shanghai Jiaotong University,Shanghai 200092,China)
出处 《海军医学杂志》 2018年第1期75-78,84,共5页 Journal of Navy Medicine
基金 上海市护理学会科研课题资助项目(2015MSB14)
关键词 儿童骨折 焦虑 抑郁 影响因素 Fracture in children Anxiety Depression Influential factor
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