Three-Level Coping Strategies for Anxiety and Depression Among Pregnant Women During the 2019-nCoV Pandemic Based on Stepwise Multiple Linear Regression Analysis
- DOI
- 10.2991/978-2-38476-062-6_36How to use a DOI?
- Keywords
- 2019-nCoV Pandemic; anxiety; depression; stepwise multiple linear regression analysis; mental health care; data science
- Abstract
As a global public health emergency, the 2019-nCoV pandemic has adversely affected the mental health of the public, with anxiety and depression being the most common reactions. It is socially important to help pregnant women, a special vulnerable population, protect themselves psychologically and reduce anxiety and depression. This paper obtained demographic information and results of anxiety and depression self-rating scales of 240 maternal cases at Jingwei Women’s Slimming Center in Guangrao County, Dongying City, Shandong Province, through a questionnaire survey and conducted multiple linear stepwise regression analysis to investigate which factors influence maternal SAS and SDS scores, to propose targeted strategic suggestions according to the needs of maternal groups during the 2019-nCoV pandemic period to help maternal alleviate the anxiety and depression problems during the special period.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xiaoxiao Wang AU - Jialu Li AU - Zhiqiang Luan PY - 2023 DA - 2023/07/11 TI - Three-Level Coping Strategies for Anxiety and Depression Among Pregnant Women During the 2019-nCoV Pandemic Based on Stepwise Multiple Linear Regression Analysis BT - Proceedings of the 2023 2nd International Conference on Social Sciences and Humanities and Arts (SSHA 2023) PB - Atlantis Press SP - 291 EP - 300 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-062-6_36 DO - 10.2991/978-2-38476-062-6_36 ID - Wang2023 ER -