摘要
目的:调查产妇睡眠质量,发现产后睡眠质量的影响因素,为临床干预提供试验和依据证据支持。方法:调查2020年4月至2022年5月门诊就诊及住院分娩的产妇,在孕期产检时收集基线信息,产后3个月再次收集信息,以PSQI评估睡眠情况、EPDS评估产后抑郁状况及BSES-SF评估母乳喂养效能。采用Logistic回归和多元线性回归分析产后睡眠质量的影响因素。结果:共纳入102名研究对象,睡眠障碍检出率为25%,Logistic回归提示妊娠意愿、新生儿出生后转科情况、是否工作、产妇是否为婴儿的唯一照顾者以及首次生育时产后睡眠质量的影响因素,多元线性回归分析提示产后抑郁及母乳喂养信心是产后睡眠质量的重要影响因素。结论:产妇睡眠质量关系到产妇、婴儿的身心健康,应在早期针对危险因素及影响因素进行健康教育或干预。
Objective:To investigate the sleep quality of puerperae,find out the influencing factors of postpartum sleep quality,and provide experimental and evidence support for clinical intervention.Methods:The puerperae who visited outpatient clinics and delivered in hospital from April 2020 to May 2022 were investigated.Baseline information was collected during the obstetric examination during pregnancy and information was collected again 3 months after delivery.PSQI was used to assess sleep status,EPDS was used to assess postpartum depression and BSES-SF was used to assess breastfeeding efficacy.Logistic regression and multiple linear regression were used to analyze the influencing factors of postpartum sleep quality.Results:A total of 102 subjects were included in the study.The detection rate of sleep disorders was 25%.Logistic regression indicated that pregnancy willingness,neonatal transfer status,whether to work,whether the mother was the sole caregiver of the baby,and the quality of postpartum sleep at the first birth Influencing factors,multiple linear regression analysis suggested that postpartum depression and breastfeeding confidence were important influencing factors of postpartum sleep quality.Conclusion:Maternal sleep quality is related to the physical and mental health of mothers and infants.Health education or intervention should be carried out for risk factors and influencing factors in the early stage.
作者
王莹琼
WANG Yingqiong(Obstetrics and Gynecology Department,Dongguan Dongkeng People′s Hospital,Dongguan 523451,China)
出处
《世界睡眠医学杂志》
2023年第10期2317-2320,共4页
World Journal of Sleep Medicine
关键词
产后睡眠障碍
横断面研究
影响因素分析
Postpartum sleep disorder
Cross-sectional study
Analysis of influencing factors