Pandemic anxiety stress scale for pregnant women(PASSP): Development and validation

Cite this:
[1]
M. L. . A. B. S. R. J. Shilpa Prakash, Benny P V and Resmi S, “Pandemic anxiety stress scale for pregnant women(PASSP): Development and validation”, ijmhs, vol. 10, no. 12, pp. 1481–1486, Dec. 2020.
© 2022 Interactive Protocols
RIGHTS & PERMISSIONS
Article Views
359
Altmetric
1
Citations
-
LEARN ABOUT THESE METRICS
   PDF  

Abstract

Introduction

Coronavirus disease (COVID-19) is a new pandemic caused by a newly discovered coronavirus.  This pandemic has caused increase in anxiety among people globally and more the pregnant women. Elevated levels of anxiety and stress may adversely affect the outcome.

Aim & Objective: This study aimed at developing and validating a tool to assess the stress and anxiety due to pandemic which helps the health care professionals to identify the probable cases of anxiety associated with the coronavirus and can take adequate measures to improve the emotional well-being of the antenatal women.

Methods & Material: A cross-sectional survey was carried out among the pregnant women in Kerala using a 29-itemtool through google forms during the month of June.

Statistical Analysis:   Item analysis, Exploratory factor analysis and confirmatory factor analysis were done to evaluate scale dimensionality, factor loadings, and factor structure using the R Software version 4.0.2.

Results: Factor analysis resulted in a 15-item short tool, Pandemic anxiety stress scale for pregnant women (PASSP) with the reliably index of Cronbach’s alpha of 0.93. Exploratory factor analysis extracted two factors. Confirmatory factor analysis confirmed the factor structure of the PASSP with Goodness of fit indices. Two factor model structure has good fit indices with GFI>0.90, DFI and TLI>0.95 and SRMR =0.04.

Discussion: This study developed a new validated instrument PASSP for assessing the anxiety and stress due to a pandemic among pregnant women in Kerala.

Keywords: COVID19, anxiety, pandemic, pregnancy, tool validation, factor analysis.

KEYWORDS:

 Special Issue

Article Metrics Graph

Chart Graph | Range Graph

Content

Section

Source

License

All paper submissions must carry the following duly signed by all the authors:
“I certify that I have participated sufficiently in the conception and design of this work and the analysis of the data (wherever applicable), as well as the writing of the manuscript, to take public responsibility for it. I believe the manuscript represents valid work. I have reviewed the final version of the manuscript and approve it for publication. Neither has the manuscript nor one with substantially similar content under my authorship been published nor is being considered for publication elsewhere, except as described in an attachment. Furthermore I attest that I shall produce the data upon which the manuscript is based for examination by the editors or their assignees, if requested.”