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Construction of risk prediction model for postpartum rectus abdominis separation based on machine learning algorithm

Construction of risk prediction model for postpartum rectus abdominis separation based on machine learning algorithm

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400080290
Enrollment
Unknown
Registered
2024-01-25
Start date
2024-01-31
Completion date
Unknown
Last updated
2024-01-28

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

Conditions

Postpartum rectus abdominis separation

Interventions

Diastasis recti abdominis group:None

Sponsors

Hangzhou Hospital of Traditional Chinese Medicine
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
20 Years to 55 Years

Inclusion criteria

Inclusion criteria: A. Female: 20-55 years old; B. 42 days postpartum - 1 year; C. No cognitive impairment, able to cooperate with the completion of questionnaires. Note: Patients who meet the above three criteria at the same time can be included in this study.

Exclusion criteria

Exclusion criteria: A. Suspected or confirmed severe spinal lesions (spinal fractures, metastases, inflammatory or infectious diseases, cauda equina syndrome/extensive neurological disease) and neurological damage; B. Exercise contraindications or serious infectious diseases such as fractures, severe heart disease, hypertension, cancer, etc. Note: Anything that meets any of the above should be excluded.

Design outcomes

Primary

MeasureTime frame
Rectus abdominis distance ;Maternity-related conditions;Exercise habits;Weight-bearing activities;—

Secondary

MeasureTime frame
BMI ;WHR in standing position ;Skinfold thickness;Waist pain;—

Countries

China

Contacts

Public ContactJiang Liyuan

Hangzhou Hospital of Traditional Chinese Medicine

jiangliyuan520j@163.com+86 130 1897 6755

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026