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Active Health Management for Children

Explore a New Paradigm of Active Health Management for Children Based on Health Index

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06532669
Enrollment
1435
Registered
2024-08-01
Start date
2024-07-31
Completion date
2030-07-31
Last updated
2024-08-01

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

Conditions

Child Development

Brief summary

The purpose of this study was to develop a children's active health index based on the three main factors-the environment, lifestyle, and the physiological and behavioral traits of children of various ages. To acquire dynamic data, a prospective cohort research was carried out. Construct a dynamic digital health portrait to detect and warn children's health problems early, intervene in a timely manner, and explore a new paradigm of children's active health management.

Detailed description

Under the guidance of the World Health Organization's (WHO) Global Strategy for Women's, Children's, and Adolescents' Health (2016-2030) and China's Child Development Programme (2021-2030), as well as the comprehension that the primary focus of medical care in the future will gradually shift from disease diagnosis and treatment to disease prevention and health management, this study will develop a children's active health index based on the three main factors-the environment, lifestyle, and the physiological and behavioral traits of children of various ages-and conduct a prospective child cohort study. Gather multi-dimensional children cohort data from many sources (medical facilities, schools, families, and communities) that covers physiological indicators, behavioral habits, dietary record, and so on. The meta-model of children's active health is built using ordinary differential equations in conjunction with digital intelligence technology, which enables real-time and all-around data collection, establishes dynamic digital health portraits for children, and dynamically monitors the health status of children as it varies over time and in response to environmental changes. The ultimate goal of this approach is to identify and warn children's health problems early on, implement timely intervention, and ultimately investigate a new paradigm of children's active health management.

Interventions

None listed

Sponsors

Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
No minimum to 18 Years

Inclusion criteria

* Age≤ 18 years old, regardless of gender. * Subject and/or guardian agrees to participate in this trial and signs the informed consent form.

Exclusion criteria

* The investigator judged that the subject had poor compliance and was unable to complete the study as required. * Inability to understand the investigator's presentation or description of this trial. * Other conditions judged by the investigator to be unsuitable for participating in the trial, such as: acute trauma, critical condition, restlessness of the subject, etc.

Design outcomes

Primary

MeasureTime frameDescription
Child Health Index0-6 yearsChild Health Index serves as a comprehensive metric to evaluate and measure how children actively maintain, promote, and enhance their own health status through positive lifestyles and healthy behaviors, with the goal of preventing the onset of diseases and delaying their progression. This index encompasses multiple aspects, such as children's dietary habits, exercise routines, sleep quality, and mental health status.

Secondary

MeasureTime frameDescription
Subitem Child Health Index0-6 yearsChild Health Index is a comprehensive index comprised of multiple subitem child health index, designed to thoroughly capture children's performance across diverse health dimensions.

Contacts

Primary ContactXin Sun, MD
sunxin@xinhuamed.com.cn0086-021-25077480

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026