City BiTS-F: Maternal PTSD and Mental Health Survey of 541 Mothers

541 mothers who gave birth in the last 12 months provided data on mental health and sociodemographics. The dataset supports validation of the French City Birth Trauma Scale for assessing posttraumatic stress disorder following childbirth. Vania Sandoz and colleagues at the University of Lausanne created this dataset for a 2022 study published in Psychological Trauma.

Use Cases

• Validate the factor structure of PTSD following childbirth based on DSM-5 criteria described in the study.
• Analyze correlations between mental health outcomes (PTSD, depression, anxiety) and sociodemographic factors like maternal age and delivery type.
• Investigate the relationship between a history of traumatic childbirth or other traumatic events and current PTSD-FC symptoms.
• Benchmark machine learning models for predicting maternal mental health risk based on survey responses and demographic data.

Strengths

• Includes data from 541 mothers, providing a substantive sample size for analysis.
• Contains multiple mental health constructs (PTSD-FC, depression, anxiety) and detailed sociodemographic variables.
• Dataset is associated with a peer-reviewed publication, suggesting methodological rigor.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Lausanne

Collection Method

Likely collected via survey from mothers who gave birth within the last 12 months.

Time Range

Data collection period not specified, but related to a 2022 publication.

Geography

Likely France or French-speaking regions, given the focus on a French-language scale.