Obesity

A Comprehensive Body Shape Evaluation System With Population Reference Ranges for Improved Disease Identification: Evidence From the China National Health Survey

Diabetes Obes MetabPublished Cross-sectional study

Authors' conclusion

Age- and sex-specific reference centiles for body shape indicators can reflect trajectories of body composition and muscle health across the lifespan, which facilitates sarcopenia screening. The CBSI serves as an integrated screening tool for high-risk populations.

Study context

Population
Adults across six provinces, China National Health Survey, 2023–2025
Exposure
Composite body shape index (CBSI) > 0.5 vs CBSI < −0.5
Outcome
Odds of age-related chronic diseases
Methodological detailspopulation-based, six provinces, training and independent validation populations
  • Population-based
  • Six provinces
  • Training and independent validation populations

Main finding

As reported in the abstract

Each group vs CBSI < −0.5Estimate (95% CI)
CBSI > 0.5
OR (hypertension) 6.42(5.51–7.48)
CBSI > 0.5
OR (diabetes) 2.76(2.25–3.38)
CBSI > 0.5
OR (dyslipidemia) 3.86(3.37–4.41)
CBSI > 0.5
OR (hyperuricemia) 5.44(4.67–6.34)
CBSI > 0.5
OR (abnormal ECG) 1.63(1.24–2.13)
CBSI > 0.5
OR (coronary heart disease) 2.31(1.62–3.27)
CBSI > 0.5
OR (stroke) 3.05(1.95–4.78)
CBSI > 0.5
OR (CKD) 3.06(1.79–5.23)
CBSI > 0.5
OR (musculoskeletal disorders) 1.67(1.09–2.55)

Observational data: associations, not effects.

Further findings

Validation set and individuals aged > 60 years

Associations persisted in the validation set (n = 5745) and individuals aged > 60 years

Incremental value of CBSI over BMI

Adding CBSI to BMI-based models improved disease identification, with positive integrated discrimination improvement (IDI) and category-free net reclassification improvement (NRI)

Body shape index trajectories

Body shape index trajectories differed substantially by sex

Original publication

A Comprehensive Body Shape Evaluation System With Population Reference Ranges for Improved Disease Identification: Evidence From the China National Health Survey. Diabetes Obes Metab. Published 18 August 2026. doi:10.1111/dom.71255

Composed by AI from the published abstract and checked against it. How Briefs are made →

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