Fujian Birth Cohort Study: Sleep Variability and Gestational Metabolic Syndrome

Haiyan Gao published a research article on figshare under CC-BY-4.0 license. The document presents findings from the Fujian Birth Cohort Study (FJBCS), analyzing associations between sleep variability, sleep irregularity, and gestational metabolic syndrome (GMS) in pregnant women. Data was collected from 2019 to 2021 across four sub-cohorts.

Use Cases

• [Predicting gestational metabolic syndrome risk] based on [sleep variability metrics] mentioned in the description
• [Analyzing subgroup vulnerability] based on [maternal age, conception method, and gravidity] mentioned in the description
• [Investigating non-linear relationships] based on [restricted cubic spline (RCS) modeling] mentioned in the description

Strengths

• The study is based on a birth cohort with data collected from 2019 to 2021, providing a recent temporal scope.
• Analysis includes specific odds ratios (e.g., aOR 1.348 for GMS) and confidence intervals, offering quantitative results.
• The research employs stratified analyses and RCS models to examine effect modification and non-linear relationships.

Limitations

• The dataset is a 155.5 KB DOCX file containing a research article, not the underlying raw data.
• Row count and column-level documentation for the actual cohort data are absent.
• The geographic scope is limited to Fujian, China, which may limit generalizability.

Provenance

Source

Fujian Birth Cohort Study (FJBCS)

Collection Method

Logistic regression and restricted cubic spline modeling on cohort data.

Time Range

2019 to 2021

Freshness

Last updated 2026-05-13 01:01:20; freshness should be verified

Geography

Fujian, China