摘要
目的 探讨高龄产妇产褥期疲乏现状并分析影响因素,为采取针对性干预措施提供参考。方法 便利选取唐山市3所医院产后6周复查的353名高龄产妇,采用产后疲乏量表、积极心理资本问卷、家庭关怀度指数、匹兹堡睡眠质量指数进行调查。基于随机森林模型与LASSO回归探讨产褥期疲乏的影响因素。结果 高龄产妇产褥期疲乏总分为(15.29±2.81)分,疲乏发生率为90.9%。积极心理资本、产后出血量、BMI、妊娠并发症、睡眠质量是高龄产妇产褥期疲乏的影响因素(均P<0.05),共解释44.7%的变异量。结论 高龄产妇产褥期疲乏水平较高,需重点关注BMI较高及有妊娠并发症的产妇,可通过提高心理资本水平,减少产后出血量,改善睡眠质量,减轻高龄产妇产褥期疲乏。
Objective To explore the status and factors associated with fatigue in the puerperium in women of advanced maternal age,and to provide reference for targeted intervention.Methods A convenience sample of 353 women aged 35 years or older were selec-ted from 3 hospitals in Tangshan when they visited the hospital for a regular 6-week postpartum check-up.They were invited to fill out the Postpartum Fatigue Scale,the Psychological Capital Questionnaire,the Family APGAR Index and the Pittsburgh Sleep Quality Index.Factors influencing postpartum fatigue were determined by using random forest algorithm and LASSO regression.Results The total score of fatigue was(15.29±2.81)and the incidence of fatigue was 90.9%.Psychological capital,the volume of postpartum blood loss,BMI,pregnancy complications and sleep quality were the influencing factors of postpartum fatigue in women of advanced maternal age(all P<0.05),which could explain 44.7%of the total variance.Conclusion The level of postpartum fatigue in women of advanced maternal age is high,and those with higher BMI and pregnancy complications should be paid more attention.In order to reduce postpartum fatigue,medical staff should enhance psychological capital of the puerpera,decrease postpartum hemorrhage,and improve their sleep quality.
作者
张颖
郝晶
温静
唐艳
任雅鑫
郑颖
Zhang Ying;Hao Jing;Wen Jing;Tang Yan;Ren Yaxin;Zheng Ying(School of Nursing and Rehabilitation,North China University of Science and Technology,Tangshan 063210,China)
出处
《护理学杂志》
CSCD
北大核心
2024年第9期44-48,共5页
Journal of Nursing Science
基金
河北省社会科学基金项目(HB19SH005)。
关键词
高龄产妇
产褥期
疲乏
心理资本
家庭关怀
睡眠质量
产后出血
随机森林模型
woman of advanced maternal age
postpartum period
fatigue
psychological capital
family caring
sleep qua-lity
postpartum hemorrhage
random forest model