PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 3, 2026Human Behavior and Emerging Technologies1 citationsOpen Access

Psychometric Properties of the Edinburgh Postnatal Depression Scale (EPDS) for Use in Digital Perinatal Mental Health Research: A Longitudinal Study Among Spanish Pregnant and Postpartum Women

View Full Paper
SDSara Domínguez-SalasIGIrene Gómez‐GómezMRMaría F. Rodríguez-Muñoz

Key Points

  • Examine the psychometric properties of the EPDS for digital perinatal mental health research.
  • Sample of 1222 pregnant and 1772 postpartum Spanish women recruited online.
  • Three follow-up assessments over a 6-month period were conducted.
  • Reliability assessed using Cronbach’s alpha and McDonald’s Omega coefficients.
  • Exploratory factor analysis revealed a three-correlated-factor model: anhedonia, depression, and anxiety.
  • Reliability coefficients exceeded 0.87 for total EPDS score and its three factors.
  • The EPDS showed good data fit, indicating its suitability for assessing symptoms in digital research.

Abstract

Background The Edinburgh Postnatal Depression Scale (EPDS) is the most frequently used paper‐and‐pencil instrument for assessing perinatal depression in digital perinatal mental health research. However, the psychometric properties of the EPDS to be used in this context need to be established, and more evidence is needed regarding its internal factorial structure. Objective To examine the psychometric properties of the EPDS for its use in digital perinatal mental health research. Methods The sample, recruited online, consisted of 1222 pregnant and 1772 postpartum Spanish women. Three follow‐up assessments were conducted over a 6‐month period. Evidence of validity based on internal structure and relationships with other variables was provided. Reliability of the EPDS was evaluated through Cronbach’s alpha (α) and McDonald’s Omega (ω) coefficients. In addition, EPDS item analysis was performed. Results Exploratory factor analysis (EFA) revealed a three‐correlated‐factor model ( anhedonia, depression , and anxiety ) that showed a good data fit by confirmatory factor analysis (CFA) for pregnant (CFI = 0.995; NNFI = 0.993; RMSEA 95% CI = 0.047 0.032; 0.062) and postpartum (CFI = 0.996; NNFI = 0.994; RMSEA 95% CI = 0.039 0.027; 0.051) women. The three correlated‐factor model showed measurement invariance across pregnant and postpartum women. EPDS total score and the three EPDS factors showed positive ( r > 0.500; p < 0.001) correlation with the GAD‐7 ( anxiety symptoms ) and the PTSD‐checklist ( post-traumatic stress disorder symptoms ). Reliability coefficients ( α and ω ) exceeded 0.87 for both the total EPDS score and its three factors. Conclusions The EPDS appears to be a suitable tool for assessing anhedonia, anxiety, and depression symptoms in digital perinatal mental health research. However, there is considerable variation among studies in item loadings and factors across the two‐ and three‐factor models, indicating that more in‐depth mixed‐methods analyses are needed.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Domínguez-Salas et al. (2026) studied this question.

synapsesocial.com/papers/69f6e6478071d4f1bdfc6fbchttps://doi.org/10.1155/hbe2/8792831
Ask AI
Helpful
Bookmark
Share
View Full Paper