Survey Data on Stress and Anxiety in Low-Income Pregnant and Postpartum Women

A 2026 study by Mei-Wei Chang collected survey data from 342 low-income overweight or obese pregnant women and 365 postpartum women. The dataset includes validated survey measurements of relationship satisfaction, general family functioning, communication, stress, and anxiety. Regression analysis found negative associations between relationship satisfaction, family functioning, and levels of stress and anxiety.

Use Cases

• Analyzing associations between relationship satisfaction and stress levels based on survey scores.
• Investigating the link between general family functioning and anxiety in pregnant and postpartum women.
• Comparing psychosocial predictors of stress between pregnant and postpartum cohorts.
• Training predictive models for maternal mental health risk based on survey-reported factors.

Strengths

• Dataset includes 707 total participants (342 pregnant, 365 postpartum), providing a substantive sample size.
• Uses validated surveys to measure key psychosocial constructs like relationship satisfaction and anxiety.
• Analysis includes specific regression coefficients (β values) and p-values for key findings, indicating statistical rigor.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• Data reflects a specific demographic (low-income, overweight/obese women); generalizability to other populations is limited.

Provenance

Source

Mei-Wei Chang via figshare

Collection Method

Survey data collected from participants, analyzed using regression.

Freshness

Last updated 2026-05-19 17:26:25; freshness should be verified.