Obesity

Physical Fitness Cut‐Points for Early Detection of Obesity Risk in Preschool Children

Obesity (Silver Spring)Published Cross-sectional study

Authors' conclusion

This study provides fitness cut-points for detecting general and central obesity risk in preschoolers. Early integration of physical fitness assessments into health monitoring may facilitate early identification of obesity risk.

Study context

Population
Spanish preschool children aged 3–5 years (52.8% boys)
Participants
3,179 children
Exposure
Cardiorespiratory fitness vs Muscular strength vs Speed-agility
Outcome
Fitness cut-points and their ability (ROC analysis) to detect general and central obesity risk (age- and sex-specific BMI and waist circumference percentiles, WHO and International Diabetes Foundation criteria)

Main finding

As reported in the abstract

Age- and sex-specific fitness cut-points for obesity risk
GroupCut-points, boysCut-points, girlsAUC rangeCut-points (z-scores), boysCut-points (z-scores), girls
Cardiorespiratory fitness9.5 to 23.5 laps6.5 to 21.50.61-0.74
Muscular strength0.59-0.80−1.5 to 2.2−1.6 to 1.9
Speed-agility18.8 to 14.9 s19.9 to 15.3 s0.49-0.71

Cut-points, boys

Cardiorespiratory fitness9.5 to 23.5 laps
Muscular strength— not stated in the abstract
Speed-agility18.8 to 14.9 s

Cut-points, girls

Cardiorespiratory fitness6.5 to 21.5
Muscular strength— not stated in the abstract
Speed-agility19.9 to 15.3 s

AUC range

Cardiorespiratory fitness0.61-0.74
Muscular strength0.59-0.80
Speed-agility0.49-0.71

Cut-points (z-scores), boys

Cardiorespiratory fitness— not stated in the abstract
Muscular strength−1.5 to 2.2
Speed-agility— not stated in the abstract

Cut-points (z-scores), girls

Cardiorespiratory fitness— not stated in the abstract
Muscular strength−1.6 to 1.9
Speed-agility— not stated in the abstract

Observational data: associations, not effects.

Original publication

Physical Fitness Cut‐Points for Early Detection of Obesity Risk in Preschool Children. Obesity (Silver Spring). Published 7 March 2026. doi:10.1002/oby.70166

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

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