The Relationship between Social Support and Mental Health Problems of Peri- and Postmenopausal Women during the SARS-CoV-2 Pandemic

Author:

Cybulska Anna Maria1ORCID,Głębicka Katarzyna2,Stanisławska Marzanna1,Cymbaluk-Płoska Aneta3,Grochans Elżbieta1,Rachubińska Kamila1

Affiliation:

1. Department of Nursing, Faculty of Health Sciences, Pomeranian Medical University in Szczecin, 48 Żołnierska St., 71-210 Szczecin, Poland

2. Department of Psychiatry, Pomeranian Medical University, 71-210 Szczecin, Poland

3. Department of Gynecological Surgery and Gynecological Oncology of Adults and Adolescents, Pomeranian Medical University in Szczecin, 70-111 Szczecin, Poland

Abstract

The COVID-19 pandemic affects women’s mental health, because they are more predisposed to vulnerabilities and adverse impacts. Therefore, is important to find strategies for preventing and treating these mental health consequences in the female population. The main purposes of our study were to determine the level of social support received by peri- and postmenopausal women during the SARS-CoV-2 pandemic, as well as factors related to this level with reference to health status and sociodemographic variables. A total of 218 women in peri- and postmenopausal status participated in the study. The study assessed depression (Beck Depression Inventory), anxiety (the Spielberg State-Trait Anxiety Scale), climacteric symptoms (the Blatt–Kupperman Index), social support (the Inventory of Social Supportive Behaviors). The majority of the respondents had a moderate level of anxiety as a state (40.8%), a low level of anxiety as a trait (51.4%), no depressive symptoms (75.2%) and no climacteric symptoms (52.3%). Age was found to significantly correlate with anxiety as a state (p = 0.036). The anxiety as state was significantly stronger in people with higher education than in people with secondary education (p = 0.019). Professionally inactive women had more emotional (p = 0.05) and appraisal (p = 0.014) support than women who work. The analysis demonstrated no statistically significant correlation between social support and depression, anxiety or climacteric symptoms (p > 0.05). The majority of peri- and postmenopausal women had no depressive symptoms and/or anxiety symptoms. Professionally inactive women had more emotional and appraisal support than women who work. The analysis demonstrated no statistically significant correlation between social support and depression, anxiety or climacteric symptoms.

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference70 articles.

1. WHO (2021, October 16). Mental Health and Psychosocial Considerations during the COVID-19 Outbreak. Available online: https://www.who.int/docs/default-source/coronaviruse/mental-health-considerations.pdf.

2. WHO (2021, October 16). Mental Health and COVID-19. Available online: http://www.euro.who.int/en/health-topics/health-emergencies/coronavirus-covid-19/novel-coronavirus-2019-ncov-technical-guidance/coronavirus-disease-covid-19-outbreak-technical-guidance-europe/mental-health-and-covid-19.

3. Risk of Developing Post-traumatic Stress Disorder in Severe COVID-19 Survivors; Their Families and Frontline Healthcare Workers: What Should Mental Health Specialists Prepare For?;Sekowski;Front. Psychiatry,2021

4. Cybulska, A.M., Rachubińska, K., Starczewska, M., Zair, L., and Panczyk, M. (2022). Incidence and Sociodemographic Correlates of Psychological Health Problems among Residents of the West Pomeranian Voivodeship during the COVID-19 Outbreak. Medicina, 58.

5. The World Health Report (2001). Mental Health: New Understanding, New Hope, World Health Organization. Available online: www.who.int.

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