MetSScore: Calculate Metabolic Syndrome (MetS) Score

In pediatric.zcalc: Z-Score Calculator for Biomarkers: Childhood to Young Adulthood

Calculate Metabolic Syndrome (MetS) Score

Description

Computes a composite MetS score from individual z-scores of clinical biomarkers.

Usage

MetSScore(df)

Arguments

df	A data frame containing the following columns: 'waist_z.score', 'homa_z.score', 'sbp_z.score', 'dbp_z.score', 'trg_z.score', and 'hdl_z.score'. These are expected to be numeric vectors representing z-scores.

Details

The MetS score is computed as:
'waist_z + homa_z + 0.5 × (sbp_z + dbp_z + trg_z - hdl_z)'

Value

A numeric vector representing the calculated MetS score for each row in the input data.

Examples

df <- data.frame(
  waist_z.score = c(1.2, 0.5),
  homa_z.score = c(0.8, 0.6),
  sbp_z.score = c(0.7, 0.3),
  dbp_z.score = c(0.6, 0.4),
  trg_z.score = c(1.0, 0.9),
  hdl_z.score = c(-0.5, -0.2)
)
MetSScore(df)

pediatric.zcalc documentation built on Sept. 30, 2026, 5:13 p.m.