Visual Exploration of Anthropometric Patterns in NHANES 2021–2023

Understanding population-level variation in body mass and obesity is a persistent challenge in public health, particularly when demographic and socioeconomic factors interact in non-linear and overlapping ways. Although large-scale health surveys provide rich information, conventional tabular summaries often limit the ability to investigate distributional structure and subgroup heterogeneity.This study investigates anthropometric patterns using data from the National Health and Nutrition Examination Survey (NHANES) 2021–2023, a nationally representative survey conducted by the U.S. Centers for Disease Control and Prevention. Focuses on Body Mass Index (BMI) and obesity-related measures across age, sex, and socioeconomic dimensions.A visualization-centered analytical framework supports systematic exploration of these patterns. The study integrates static visual representations with an interactive dashboard, enabling flexible examination of distributions, relationships, and stratified prevalence across demographic subgroups. Emphasizes transparency, interpretability, and exploration rather than inferential modeling.By incorporating interactive visualization alongside conventional static figures, this work positions visualization as an investigative instrument for population health research. The approach illustrates how interactive dashboards can complement established reporting practices by supporting deeper engagement with complex survey data and facilitating evidence-informed understanding in public health contexts.