Identifying symptom clusters among pregnant women during early and late pregnancy

Author:

Zhang Yunxue1,Xu Xiaofang12,Xie Zihui1,Li Yuanyuan1,Zhao Di1,Lv Gaorong1,Li Ping1ORCID

Affiliation:

1. School of Nursing and Rehabilitation Shandong University Jinan China

2. Department of Psychiatry, The First Affiliated Hospital Zhejiang University School of Medicine Hangzhou China

Abstract

AbstractObjectivesTo investigate the status of multiple psychosomatic symptoms among women and identify symptom clusters at different gestational stages.MethodsThis was a cross‐sectional study and a consecutive sample of 557 pregnant women were recruited. They were asked to complete the Memorial Symptom Assessment Scale, and to supply sociodemographic and clinical information. Spearman correlation analysis, partial correlation networks, and hierarchical cluster analysis were carried out to identify the optimal number of symptom clusters.ResultsThe top five scores for symptoms in early pregnancy were nausea, lack of appetite, feeling drowsy, lack of energy, and vomiting. Weight gain, difficulty sleeping, sweating, lack of energy, and dry mouth scored high in late pregnancy. Four clusters were identified in early pregnancy, and three clusters were determined in late pregnancy.ConclusionsWomen experience multiple psychosomatic symptoms during pregnancy, and the manifestation of symptoms varies at different stages. The present study has provided new insights into symptom clusters in pregnant women.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Obstetrics and Gynecology,General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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