Dual Trajectories of Allostatic Load and Depression Among Perimenopausal Women

Longitudinal data from 1,185 perimenopausal women aged 42–52 years across seven U.S. sites, sourced from the Study of Women’s Health Across the Nation (SWAN). The dataset was created by Zhuoran Sun and last updated on 2026-05-11. It models the interactive association between allostatic load and depression trajectories over time.

Use Cases

• Modeling joint trajectories of physiological dysregulation and mental health based on group-based trajectory modeling.
• Identifying common risk factors for allostatic load and depression based on demographic characteristics like age, race, and income.
• Developing targeted interventions for high-vulnerability subgroups based on trajectory group classifications.
• Investigating the association between specific symptoms like hot flashes and night sweats with depression and allostatic load.

Strengths

• Includes data from 1,185 perimenopausal women.
• Derived from the established multi-site Study of Women’s Health Across the Nation (SWAN).
• Analyzes dual trajectories, revealing a specific interactive association where high depression trajectories increased the likelihood of high allostatic load trajectories by 41.2%.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 25.8 KB, indicating limited scope.

Provenance

Source

Study of Women’s Health Across the Nation (SWAN)

Collection Method

Data from seven follow-up sites of SWAN, analyzed using group-based trajectory models and multivariate logistic regression.

Freshness

Last updated 2026-05-11 13:26:50; freshness should be verified.

Geography

Seven sites across the United States.