Stratifying cardiometabolic risk in urban Chinese children with obesity: Study protocol of the Shenzhen Children Cohort Study (SCCS)

This study follows overweight and obese children aged 5-11 years over five years to document changes in physical measurements, biochemical indicators, imaging results, and questionnaire data on household structure, parental health history, and child routines. The aim is to build a multi-domain risk profile that moves beyond body mass index and simple metabolic categories. Prior studies often grouped children by BMI percentile or defined metabolically healthy and unhealthy types based on a few biomarkers. These methods overlook transitions, internal variation, and context. By applying repeated measurements and multiple modeling approaches, this study aim to identify subgroups based on shared risk trajectories, biomarker shifts, and family conditions. Risk is not treated as a single threshold but as a process shaped by exposures and responses. Although this cohort is located in one district, its structure may guide future work on pediatric risk classification under precision medicine frameworks.

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Publication Details

Journal
PLoS ONE
Published
2026-01-22
DOI
https://doi.org/10.1371/journal.pone.0340049
Primary Topic
Obesity, Physical Activity, Diet
Type
article
Field-Weighted Citation Impact
0.00

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article

Stratifying cardiometabolic risk in urban Chinese children with obesity: Study protocol of the Shenzhen Children Cohort Study (SCCS)

Jinwen Liao, Yuehao Xu, Xiaolin Sun, Xin Guo et al.
PLoS ONE
Obesity, Physical Activity, Diet
article

Stratifying cardiometabolic risk in urban Chinese children with obesity: Study protocol of the Shenzhen Children Cohort Study (SCCS)

Jinwen Liao, Yuehao Xu, Xiaolin Sun, Xin Guo, Zhangcong Liang, Mingguo Xu
article en

Abstract

This study follows overweight and obese children aged 5-11 years over five years to document changes in physical measurements, biochemical indicators, imaging results, and questionnaire data on household structure, parental health history, and child routines. The aim is to build a multi-domain risk profile that moves beyond body mass index and simple metabolic categories. Prior studies often grouped children by BMI percentile or defined metabolically healthy and unhealthy types based on a few biomarkers. These methods overlook transitions, internal variation, and context. By applying repeated measurements and multiple modeling approaches, this study aim to identify subgroups based on shared risk trajectories, biomarker shifts, and family conditions. Risk is not treated as a single threshold but as a process shaped by exposures and responses. Although this cohort is located in one district, its structure may guide future work on pediatric risk classification under precision medicine frameworks.

PLoS ONEVol. 21(1)
Shenzhen University (CN), Shenzhen Maternity and Child Healthcare Hospital (CN), Southern Medical University Shenzhen Hospital (CN), Shenzhen Third People’s Hospital (CN)
National Natural Science Foundation of China, Guangdong Pharmaceutical University
Sustainable cities and communities
Openalex Percentile: Top 81%
Obesity, Physical Activity, Diet
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