Research for IoT-based weight management in Interpregnancy care

Development of IoT-based weight management in women's healthcare promotion - Weight management in women's healthcare promotion

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000052497

Enrollment

200

Registered

2024-04-01

Start date

2024-04-01

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Postpartum women

Interventions

In inter-pregnancy care, we will use the prediction model we have developed to set more practical weight management goals, and for follow-up, we will use IoT devices and combine it with a lifestyle im

Establishing a foundation for women&#39

s health promotion using IoT (2023-0328)&quot

, women using Smart Daily will be excluded, and a matching cohort matched for age and pre-pregnancy BMI will be used as the control group.

Eligibility

Sex/Gender

Female

Inclusion criteria

Inclusion criteria: Women with a pre-pregnancy BMI of 25.0 kg/m2 or higher who delivered at a collaborating institution

Exclusion criteria

Exclusion criteria: Women with a history of spontaneous preterm birth

Design outcomes

Primary

Measure	Time frame
Monthly weight loss from 1 to 24 months after birth will be analyzed using t-tests.	—

Countries

Japan

Contacts

Public ContactSho Tano

Nagoya University Department of Obstetrics and Gynecology

tano.sho@med.nagoya-u.ac.jp0527442262

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026