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社会人口学因素、产科因素与分娩体验之间的关联。

Associations between sociodemographic and obstetric factors, and childbirth experience.

作者信息

Rozsa Daniella, Sande Ragnar Kvie, Bernitz Stine, Dalen Ingvild, Braut Geir Sverre, Øian Pål, Eggebø Torbjørn M, Dalbye Rebecka

机构信息

Department of Obstetrics and Gynecology, Stavanger University Hospital, Stavanger, Norway.

Department of Caring and Ethics, Faculty of Health Sciences, University of Stavanger, Stavanger, Norway.

出版信息

Acta Obstet Gynecol Scand. 2025 Apr;104(4):637-646. doi: 10.1111/aogs.15076. Epub 2025 Feb 19.

DOI:10.1111/aogs.15076
PMID:39968633
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11919733/
Abstract

INTRODUCTION

Sociodemographic and obstetric factors have been shown to impact childbirth experience, but results regarding the effect of certain factors have been heterogeneous. It is important to understand how individual risk factors affect childbirth experience to be able to identify women at risk for negative childbirth experience. The aim of this study was to determine individual associations between sociodemographic and obstetric factors and childbirth experience.

MATERIAL AND METHODS

The Labor Progression Study (LaPS-NCT02221427) was a multicenter randomized trial examining clinical consequences of using Zhang's guideline vs the WHO partograph on intrapartum cesarean section rate. Four weeks after delivery, 5810 women received the Childbirth Experience Questionnaire (CEQ) online. The CEQ consists of 19 questions on four subscales (own capacity, professional support, perceived safety, and participation). The total CEQ score is the mean score of each of the subscale scores, ranging from 1 to 4, a higher score indicating a better childbirth experience. Sociodemographic (age, body mass index, education, civil status, and smoking) and obstetric (gestational age, prolonged labor, mode of delivery, and obstetric complications) characteristics of the women were recorded, and associations to total and subscale CEQ scores were examined with log-linear regression.

RESULTS

In all, 3604 women answered the questionnaire, a 62.9% response rate. The mean (SD) total CEQ score was of 3.24 (0.43). The subscale score was highest for professional support, mean 3.68 (0.49), and lowest for own capacity, mean 2.61 (0.54). The total CEQ score was not associated with any of the sociodemographic characteristics examined. Smoking in the first trimester was associated with lower scores on the professional support subscale 3.61 (3.55, 3.67) than nonsmokers, 3.69 (3.68, 3.71); p = 0.001. Of obstetric factors, only delivering in week 37 was significantly associated with a higher total CEQ score, 3.34 (3.28, 3.40), vs. 3.24 (3.22, 3.26) at 40 weeks, p = 0.002. Findings remained significant in adjusted analysis.

CONCLUSIONS

In our study, individual sociodemographic factors did not impact overall the childbirth experience. Smoking was associated with a lower score on the professional support subscale. Delivery in week 37 was associated with a better overall childbirth experience. No other obstetric factor influenced the childbirth experience.

摘要

引言

社会人口统计学和产科因素已被证明会影响分娩体验,但某些因素的影响结果存在异质性。了解个体风险因素如何影响分娩体验对于识别有负面分娩体验风险的女性非常重要。本研究的目的是确定社会人口统计学和产科因素与分娩体验之间的个体关联。

材料与方法

产程进展研究(LaPS-NCT02221427)是一项多中心随机试验,研究使用张氏指南与世界卫生组织产程图对剖宫产率的临床影响。分娩四周后,5810名女性在线收到分娩体验问卷(CEQ)。CEQ由19个问题组成,分为四个子量表(自身能力、专业支持、感知安全和参与度)。CEQ总分是每个子量表得分的平均分,范围为1至4分,分数越高表明分娩体验越好。记录了女性的社会人口统计学特征(年龄、体重指数、教育程度、婚姻状况和吸烟情况)和产科特征(孕周、产程延长、分娩方式和产科并发症),并通过对数线性回归分析了与CEQ总分及子量表得分的关联。

结果

共有3604名女性回答了问卷,回复率为62.9%。CEQ总分的平均值(标准差)为3.24(0.43)。专业支持子量表得分最高,平均分为3.68(0.49),自身能力子量表得分最低,平均分为2.61(0.54)。CEQ总分与所检查的任何社会人口统计学特征均无关联。孕早期吸烟与专业支持子量表得分较低相关,吸烟者为3.61(3.55,3.67),非吸烟者为3.69(3.68,3.71);p = 0.001。在产科因素中,只有在37周分娩与较高的CEQ总分显著相关,为3.34(3.28,3.40),而40周分娩时为3.24(3.22,3.26),p = 0.002。在调整分析中,结果仍然显著。

结论

在我们的研究中,个体社会人口统计学因素并未总体上影响分娩体验。吸烟与专业支持子量表得分较低相关。在37周分娩与更好的总体分娩体验相关。没有其他产科因素影响分娩体验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4630/11919733/fa781f803120/AOGS-104-637-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4630/11919733/3d5ac1ec01fb/AOGS-104-637-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4630/11919733/60596cb06ed2/AOGS-104-637-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4630/11919733/fa781f803120/AOGS-104-637-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4630/11919733/3d5ac1ec01fb/AOGS-104-637-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4630/11919733/60596cb06ed2/AOGS-104-637-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4630/11919733/fa781f803120/AOGS-104-637-g012.jpg

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