Lanzhou Cohort Data on Iodine Status and Handgrip Strength for Sarcopenia Prediction

A cross-sectional study of 810 community-dwelling adults in Lanzhou, China, randomly split into training (n=568) and validation (n=242) cohorts. The data was used to construct a predictive nomogram model for low handgrip strength, integrating urinary iodine concentration, systolic blood pressure, and other clinical variables. The dataset was published by Xiao Liu on figshare under a CC-BY-4.0 license and last updated in April 2026.

Use Cases

• Training a binary classification model to predict low handgrip strength based on clinical and nutritional variables.
• Analyzing the dose-response relationship between urinary iodine concentration and muscle strength outcomes using restricted cubic spline methods.
• Validating a clinical nomogram model for early identification of individuals at high risk for sarcopenia in community settings.
• Conducting subgroup analyses to investigate how associations between iodine status and grip strength vary by thyroid function.

Strengths

• Includes a validation cohort (n=242) for model assessment.
• Model performance metrics are reported, including AUC (0.723 training, 0.662 validation) and Brier scores.
• Prevalence of low handgrip strength (18.8%) is provided for the training cohort.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data is unknown, which may limit suitability assessment.
• The cross-sectional design limits causal inference, as noted by the authors.

Provenance

Source

figshare

Collection Method

Cross-sectional study analyzing community-dwelling adults.

Freshness

Last updated 2026-04-14 04:19:50; freshness should be verified.

Geography

Lanzhou, Gansu Province, Northwestern China