Pregnancy Physical Activity and Gut Microbiota Data from a Preliminary Cohort Study

A dataset from a preliminary investigation of 68 pregnant women, linking objectively measured physical activity from Fitbit monitors to gut microbiota composition via 16S rRNA sequencing of third-trimester stool samples. The data includes alpha and beta diversity metrics, differential abundance testing results, and was published by Sara Santarossa on figshare in 2026. The study found associations between sedentary time and specific microbial abundances.

Use Cases

• Train models to predict gut microbiota composition based on physical activity metrics like step count and sedentary time.
• Conduct differential abundance analysis to identify microbial taxa associated with specific activity levels during pregnancy.
• Validate findings on the relationship between sedentary behavior and specific bacteria like Prevotella and Acidaminococcus.
• Perform meta-analysis by integrating these results with other pregnancy microbiome datasets.

Strengths

• Data is derived from an objective measurement source (Fitbit Charge wearable monitors).
• Includes results from multiple statistical tests (PERMANOVA, linear regression, ANCOM-BC2) with FDR correction.
• Provides specific R-squared values (e.g., R²=0.038) for significant associations found.
• Dataset is openly available under a CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (440.7 KB), representing a preliminary investigation with a limited sample of 68 participants.

Provenance

Source

figshare, authored by Sara Santarossa.

Collection Method

Data collected from an ongoing birth cohort study using wearable activity monitors and 16S rRNA sequencing.

Time Range

Covers the second and third trimesters of pregnancy for the participants.

Freshness

Last updated 2026-04-23 05:35:27; freshness should be verified.