Spiritual Well-Being and Psychosocial Health among Pregnant Women during the COVID-19 Pandemic: A Cross-Sectional Study

Background: The aim of this study was to examine the association between spiritual well-being and psychosocial health among pregnant women during the COVID-19 pandemic Method: This cross-sectional online survey was conducted with 221 pregnant women in Turkey between November and December 2020. Data were collected using the Pregnancy Psychosocial Health Assessment Scale and the Spirituality Scale. Pearson correlation analysis and multiple linear regression analysis (enter method) were performed. Result: The mean scores of the participants were 3.24 for psychosocial health and 105.92 for spiritual well-being. A weak but statistically significant negative correlation was found between psychosocial health and spiritual well-being (r = −0.234, p = 0.001). In the multivariate regression analysis, education level, employment status, and income level were identified as significant positive predictors of spiritual well-being, whereas knowledge about the effects of COVID-19 on pregnancy was identified as a significant negative predictor. Conclusion: The findings indicate that spiritual well-being among pregnant women during the COVID-19 pandemic is associated with sociodemographic factors and COVID-19–related knowledge, highlighting the importance of considering multiple contextual factors when evaluating spiritual well-being in pregnancy.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-31
DOI
https://doi.org/10.5281/zenodo.18178755
Primary Topic
Religion, Spirituality, and Psychology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spiritual Well-Being and Psychosocial Health among Pregnant Women during the COVID-19 Pandemic: A Cross-Sectional Study

Tuğba Tahta, Sinem CEYLAN, Figen ALP YILMAZ
Zenodo (CERN European Organization for Nuclear Research)
Religion, Spirituality, and Psychology
article

Spiritual Well-Being and Psychosocial Health among Pregnant Women during the COVID-19 Pandemic: A Cross-Sectional Study

Tuğba Tahta, Sinem CEYLAN, Figen ALP YILMAZ
article en

Abstract

Background: The aim of this study was to examine the association between spiritual well-being and psychosocial health among pregnant women during the COVID-19 pandemic Method: This cross-sectional online survey was conducted with 221 pregnant women in Turkey between November and December 2020. Data were collected using the Pregnancy Psychosocial Health Assessment Scale and the Spirituality Scale. Pearson correlation analysis and multiple linear regression analysis (enter method) were performed. Result: The mean scores of the participants were 3.24 for psychosocial health and 105.92 for spiritual well-being. A weak but statistically significant negative correlation was found between psychosocial health and spiritual well-being (r = −0.234, p = 0.001). In the multivariate regression analysis, education level, employment status, and income level were identified as significant positive predictors of spiritual well-being, whereas knowledge about the effects of COVID-19 on pregnancy was identified as a significant negative predictor. Conclusion: The findings indicate that spiritual well-being among pregnant women during the COVID-19 pandemic is associated with sociodemographic factors and COVID-19–related knowledge, highlighting the importance of considering multiple contextual factors when evaluating spiritual well-being in pregnancy.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 25%
Religion, Spirituality, and Psychology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.