FindTrial
Sign In

Machine learning-based obesity risk in children and adolescents aged 7-17 years Prediction Model Construction and Visual Application

Machine learning-based obesity risk in children and adolescents aged 7-17 years Prediction Model Construction and Visual Application

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600127490
Enrollment
Unknown
Registered
2026-07-01
Start date
2026-07-01
Completion date
Unknown
Last updated
2026-07-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Obesity/Overweight in Children and Adolescents

Interventions

Observation group:None

Sponsors

The People's Hospital of Liuyang
Lead Sponsor

Eligibility

Sex/Gender
All
Age
7 Years to 17 Years

Inclusion criteria

Inclusion criteria: 1.Children and adolescents aged between 7 and 17 years; 2.Continuous residence in the project area for >=6 months, with local school enrollment; 3.Informed consent signed by guardian and child (>=8 years old);

Exclusion criteria

Exclusion criteria: 1.Pathological or secondary obesity (e.g., Prader-Willi syndrome, etc.); 2.Severe heart, liver, or kidney dysfunction, malignant tumors, or congenital metabolic disorders; 3.Severe mental illness that prevents completion of the questionnaire;

Design outcomes

Primary

MeasureTime frame
Overweight/Obesity;—

Countries

China

Contacts

Public ContactLi Hong

The People's Hospital of Liuyang

1142616771@qq.com+86 731 8361 2935

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jul 23, 2026