The association of sociodemographic factors and history of chronic diseases on menopausal symptoms: A cross‐sectional study

Author:

Sharami Seyedeh Hajar1ORCID,Rafiei Sorouri Zahra2ORCID,Farzadi Sara1ORCID,Hosseinzadeh Fatemeh1ORCID,Etezadi Atoosa1ORCID,Bab Eghbal Sedighe1ORCID,Eslami‐Kenarsari Habib3ORCID

Affiliation:

1. Department of Obstetrics and Gynecology, Reproductive Health Research Center, Al‐Zahra Hospital, School of Medicine Guilan University of Medical Sciences Rasht Iran

2. Department of Obstetrics & Gynecology, Reproductive Health Research Center, Al‐Zahra Hospital, School of Medicine Guilan University of Medical Sciences Rasht Iran

3. Vice‐Chancellorship of Research and Technology Guilan University of Medical Science Rasht Iran

Abstract

AbstractBackgroundMenopausal symptoms are very diverse in terms of prevalence and severity, and this difference is due to various factors such as psychological factors, sociocultural status, lifestyle, geographical location, and other factors. This study aimed to assess the prevalence of menopausal symptoms and evaluate the predictive factors related to the prevalence and severity of menopausal symptoms.Materials and MethodsThis was a cross‐sectional analytical study that was performed on 214 women aged 35–65 years old who were referred to Alzahra Educational, Research and Treatment Center in Rasht, Iran. The data collection tool was a valid and reliable questionnaire, using the list of menopausal symptoms and a checklist of subjects’ general characteristics.Results16.8% of postmenopausal women in our study had at least one menopausal symptom. Using multiple linear regression, race (p = 0.02), history of chronic diseases (p = 0.04), place of residence (p = 0.02), and marital satisfaction (p = 0.02) were associated with menopausal symptoms. Nineteen percent of the covariates related to the logistics function were explained by the predictor variables in the model.ConclusionEvaluation of menopausal symptoms showed that the severity of menopausal symptoms was related to factors such as body mass index (BMI), ethnicity, place of residence, marital satisfaction, and history of chronic diseases, and need to address BMI, psychological issues, and chronic illness.

Publisher

Wiley

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