A cross‐sectional study of low birth satisfaction during the COVID‐19 epidemics' fifth wave

Author:

Mortazavi Forough1ORCID,Mehrabadi Maryam2

Affiliation:

1. Non‐Communicable Diseases Research Center Sabzevar University of Medical Sciences Sabzevar Iran

2. MSc of Midwifery, Health Chancellery Sabzevar University of Medical Sciences Sabzevar Iran

Abstract

AbstractAimTo investigate predictors of low birth satisfaction in a sample of Iranian postpartum women during the COVID‐19 epidemics' fifth wave.DesignA cross‐sectional study.MethodsThis study was conducted on 676 postpartum women admitted to postpartum wards of Mobini maternity hospital using a convenience sampling method between 2 Aug and 18 September 2021 in Iran. We used the general linear model and multiple linear regression analyses to determine predictors of birth satisfaction.ResultsThe mean and standard deviation values of age and education were 28.7 ± 6.6 and 11.1 ± 4.1 (years), respectively. The mean scores of the three scales were as follows: FVC‐19S (14.7 ± 7.5), WHO‐5 (67.5 ± 13.0) and BSS‐R (28.6 ± 7.3). Sixty‐five point nine percent (65.9%) of the participants were multiparous. Overall predictors of low birth satisfaction were emergency caesarean, instrumental birth, episiotomy, Entonox analgesia, low level of well‐being score < 50, fear of COVID‐19, low satisfaction with pregnancy and low satisfaction with spouse's support. The overall proportion of the variance in birth satisfaction explained by all variables is 17.4%. Labor and birth variables explained 12.2% of the variance in birth satisfaction.Patient or Public ContributionNone.

Publisher

Wiley

Reference36 articles.

1. About the WHO‐5. (2020).WHO. Retrieved Dec 15 fromhttps://www.psykiatri‐regionh.dk/who‐5/about‐the‐who‐5/Pages/default.aspx. Accessed 15 Dec2020.

2. The birth experience and maternal caregiving attitudes and behavior: A systematic review

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3