摘要
目的了解儿童多动症发生的相关影响因素,为其干预提供参考依据。方法选择2019年7月—2019年12月在该院治疗的37例多动症儿童作为病例组,再选择与病例组年龄等相近的106例非多动症儿童作为对照组,对所有研究对象的家长进行问卷调查,数据输入用Epidata,数据分析用SPSS 20.0统计软件进行。结果早产、分娩方式、窒息史、喂养方式、父亲教养方式、接触电子产品时间及家庭收入情况,在多动症与非多动症儿童中存在有差异,且差异有统计学意义(P<0.05),再进行Logistic回归分析,结果显示:窒息史(OR=3.410,95%CI:1.090~10.665)、看电子产品时间长于3 h(OR=6.467,95%CI:31.362~30.708)为儿童多动症发生的危险因素(P<0.05)。结论窒息史、接触电子产品时间过长是儿童多动症发生的危险因素,可以从这些方面采取有针对地干预措施,以降低儿童多动症的发生。
Objective To investigate the influence factors for children with attention deficit hyperactivity disorder(ADHD),and provide interventions for the clinical diagnosis and treatment of ADHD.Methods A total of 32 children with ADHD who received treatment from Guangdong Women and Children Hospital from July 2019 to December 2019 were included in the study group, 106 age matched children without a history of ADHD were included in the control group at the same time. All the parents were surveyed with questionnaire. All the stateswere input by Epidate, and the statistical analyses were conducted by SPSS20.0.Results showed thatobservation with preterm birth, delivery way, History of birth asphyxia, feeding way, the father’s educational parenting style, exposure to electronic products, and thefamily income were difference, and the difference between thetwo groups was statistically significant(P<0.05). And then the logisticanalysisshowed that: History of birth asphyxia(OR=3.140,95% CI:1.090~10.665),exposuring to electronic products over 3 hours(OR=6.467,95% CI: 31.362-30.708) areclosely related risk factors for ADHD.Conclusion History of birth asphyxia, spent too much time on electronic productsareclosely related risk factors for ADHD,Targeted measures can be taken from these aspects to reduce the risk of ADHD.
作者
林惠芳
李兵
黄双苗
谭光明
LIN Hui-Fang;LI Bing;HUANG Shuang-Miao(Department of Guangdong Women and Children Hospital,Guangzhou,Guangdong 511442,China)
出处
《中国妇幼保健》
CAS
2021年第23期5484-5486,共3页
Maternal and Child Health Care of China
基金
中国疾病预防控制中心妇幼保健中心合生元母婴营养与健康研究项目(2018FYJ001)。
关键词
多动症
影响因素
电子产品
Children with attention deficit hyperactivity disorder
Influence factor
Electronic products