Psychometric validation of the Chinese version of the perceived stress scale-10 among pregnant women

Q: What was the study’s main objective for CPSS-10?

To evaluate the psychometric properties of the Chinese version of the perceived stress scale-10 among pregnant women in mainland China.

Q: How were the factor structures of CPSS-10 evaluated?

Exploratory factor analysis used principal component analysis with varimax rotation, and confirmatory factor analysis assessed model fit with multiple indices such as χ2/df, IFI, TLI, CFI, and RMSEA.

Q: What did the study conclude about CPSS-10’s usefulness?

CPSS-10 showed strong psychometric properties, supporting its validity and reliability for assessing perceived stress and potentially helping identify stress-related risks during pregnancy.

Sep 30, 2026

Uploaded by Aria Callaghan

Pregnancy stress can affect maternal and fetal health, making accurate stress measurement essential for early support. The Perceived Stress Scale (PSS-10) is widely used, but the Chinese version (CPSS-10) lacked validation among pregnant women in mainland China. This study assessed CPSS-10 psychometric properties using exploratory and confirmatory factor analyses, validity testing, and internal consistency evaluation.

LanguageEnglish

CategoryHealthcare

FormatPDF

Pages9

Reading Time23 min

AccessFree to download

Abstract

Methods

Factor analyses and validity assessment

Results

Conclusion

Introduction

Pregnancy-related stress context

Measures and the PSS-10 background

Chen et al. BMC Psychology (2026) 14:22 [https://doi.org/10.1186/s40359-025-03730-9](https://doi.org/10.1186/s40359-025-03730-9) BMC Psychology RESEARCH Open Access Psychometric validation of the Chinese version of the perceived stress scale-10 among pregnant women Chunning Chen 1,2, Siti Zuhaida Hussein 1*, Zaleha Md Isa3, Zhifen Yang4, Cuige Liu4, Jingya Zhang4, Yichen Liang5, Yu Zang2 and Jiasi Yao2 Abstract Background Stress during pregnancy can significantly impact maternal and fetal health. Accurately assessing perceived stress is crucial for early intervention and improved health outcomes. The Perceived Stress Scale (PSS-10) is a widely used tool for measuring perceived stress. However, the Chinese version (CPSS-10) has not yet been validated among pregnant women in mainland China. This study aimed to evaluate the psychometric properties of the CPSS-10 in this population. Methods The study was conducted in a Chinese hospital between February and August 2024, using a convenience sample of pregnant women. The CPSS-10 was evaluated using exploratory (EFA) and confirmatory (CFA) factor analyses. EFA employed principal component analysis and varimax rotation, identifying factors with eigenvalues > 1 and factor loadings > 0.50. CFA assessed model fit using χ2/df, Incremental Fit Index (IFI), Tucker Lewis Index (TLI), Comparative Fit Index (CFI), and Root Mean Square Error of Approximation (RMSEA) . Convergent and discriminant validity were examined, and concurrent validity was assessed using the Pearson correlation coefficient. Internal consistency was evaluated using Cronbach’s alpha. The analyses were conducted using Amos 23.0 and IBM SPSS Statistics 29. Results A total of 428 pregnant Chinese women participated in the study. EFA revealed two factors, which together accounted for 59. 869% of the variance. Item loadings ranged from 0.658 to 0.833. CFA results confirmed an acceptable fit for the two-factor model, with χ2/df = 3.789 (less than 5), p < 0. 001, IFI = 0 . 892, TLI = 0 . 855, CFI = 0 . 890, and RMSEA = 0.116. Convergent validity was supported by average variance extracted (0 .434–0. 558) and composite reliability (0.754–0.883). Discriminant validity was established, and internal consistency was acceptable, with values ranging from 0.749 to 0.881. A significant negative correlation with perceived social support also supported concurrent validity. 52.4% of women reported moderate to high perceived stress levels (score ≥ 14) . Conclusion The CPSS-10 demonstrates strong psychometric properties and is a valid and reliable tool for assessing perceived stress among pregnant women in mainland China. Its use may aid in identifying stress-related risk during pregnancy and guide timely psychological support. *Correspondence: Siti Zuhaida Hussein [zuhaida_hussein@ukm.edu. my](zuhaida_hussein@ukm.edu. my) Full list of author information is available at the end of the article © The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit [http://creati](http://creati)[vecommons.org/l](ve

FAQs

What was the study’s main objective for CPSS-10?

To evaluate the psychometric properties of the Chinese version of the perceived stress scale-10 among pregnant women in mainland China.

How were the factor structures of CPSS-10 evaluated?

Exploratory factor analysis used principal component analysis with varimax rotation, and confirmatory factor analysis assessed model fit with multiple indices such as χ2/df, IFI, TLI, CFI, and RMSEA.

What did the study conclude about CPSS-10’s usefulness?

CPSS-10 showed strong psychometric properties, supporting its validity and reliability for assessing perceived stress and potentially helping identify stress-related risks during pregnancy.

Sep 30, 2026

Uploaded by Aria Callaghan

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