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No-worry Baby Project

NCT ID: NCT03922087

Last Updated: 2023-11-28

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

5216 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-11-20

Study Completion Date

2023-09-30

Brief Summary

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The Huizhou mother-infant cohort was set up to investigate the effect of dietary factors and environmental exposures during pregnancy on health consequences of mothers and offsprings in Huizhou, China.

Detailed Description

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Huizhou mother-infant cohort (No-worry Baby Project) is a scientific research/public health project jointly initiated by Huizhou First Maternity and Child Healthcare Hospital and School of Public Health, Sun Yat-sen University. The project plans to recruit 10,000 participants since early pregnancy and follow up for three years after birth in the first stage. Biological samples, data from questionnaires survey and clinical information will be collected for both mothers and infants. The study is aimed to investigate the effects of dietary factors and environmental exposures during pregnancy on infants' health as well as the prognosis of diseased mothers. The study will have essentially both clinical and public health implications to find effective strategies for prevention and management of a range of chronic disorders (above mentioned) during pregnancy and exploration of the possible impacts on offspring health. The cohort will provide scientific basic for improvement of mother and infant's health.

Conditions

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Gestational Diabetes Mellitus in Pregnancy Gestational Hypertension Thyroid Disease Pregnancy Obesity Anemia in Pregnancy Complications, Pregnancy Depression Obstetric Labor Complications Asthma Allergic Disorder Immune System Diseases Neurodevelopmental Disorders Reproductive Disorder

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Control Group

The pregnancy women without any diseases.

No intervention

Intervention Type OTHER

No intervention

Disease Group

The pregnancy women with cardio-metabolic and endocrinic disorders such as gestational diabetes, obesity, hypertension, thyroid diseases, anemia and other cardio-metabolic diseases.

No intervention

Intervention Type OTHER

No intervention

Interventions

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No intervention

No intervention

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Pregnant women who have plan to delivery and participate in child care in Huizhou hospital;
* Pregnant women who have resided in Huizhou for at least 3 years;
* Pregnant women who are consent for specimens and data collection and follow-ups for both mother and infant.

Exclusion Criteria

* Pregnant women who are with gestational age more than 24 weeks ;
* Pregnant women who refuse to participate or be unwilling to sign informed consent;
* Pregnant women who are mentally incapacitated and need guardians.
Minimum Eligible Age

18 Years

Maximum Eligible Age

49 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes

Sponsors

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Huizhou No.1 Maternal and Child Care Service Cencer

UNKNOWN

Sponsor Role collaborator

Sun Yat-sen University

OTHER

Sponsor Role lead

Responsible Party

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LIU ZHAOMIN

Professor in Department of Nutrition and Food Hygiene

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Zhaomin Liu, Doctor

Role: PRINCIPAL_INVESTIGATOR

School of Public Health of Sun Yat-sen University

Locations

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School of Public Health of Sun Yat-sen University (North Campus)

Guangzhou, Guangdong, China

Site Status

Countries

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China

References

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Liu ZM, Long HH, Li D, Fang AP, Chen CG, Wang C, Li MM, Wu Y, Zhang SJ, Pan WJ. Maternal Serum Iodine Concentrations in Early Pregnancy Exhibited Well Diagnostic Ability for Thyroid Dysfunction, Inverse Associations with Gestational Weight Gain, and Birth Size: Longitudinal Analyses Based on Huizhou Mother-Infant Cohort. Biol Trace Elem Res. 2025 Jul;203(7):3618-3629. doi: 10.1007/s12011-024-04443-7. Epub 2024 Nov 29.

Reference Type DERIVED
PMID: 39609361 (View on PubMed)

Zhang D, Zhang S, Li G, Lai Y, Hao YT, Chen WQ, Wu Y, Chen C, Pan W, Liu ZM. A clinical model and nomogram for early prediction of gestational diabetes based on common maternal demographics and routine clinical parameters. J Obstet Gynaecol Res. 2022 Nov;48(11):2738-2747. doi: 10.1111/jog.15380. Epub 2022 Jul 31.

Reference Type DERIVED
PMID: 35909297 (View on PubMed)

Other Identifiers

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HZT2018

Identifier Type: -

Identifier Source: org_study_id