Evidence map›Paper›PMID 41194051›Full record

ArticleBMC pediatrics2025

The stronger predictive role of early life exposures versus current lifestyle behaviors on the development of childhood severe obesity and metabolic dysfunction.

MengYan Tang, Yuan Li, XiaoMei Liu, Ping Li

Abstract read
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Article in BMC pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

MengYan TangDepartment of Child Health Care Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Yuan LiDepartment of Neonatology Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
XiaoMei LiuDepartment of Child Health Care Nursing, West China Second University Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China.
Ping LiDepartment of pediatric, West China Second University Hospital, Sichuan University, Chenglong avenue no. 1416, Chengdu, Sichuan, China. liping_371986@163.com.

Funding

Science and Technology Bureau of Sichuan Province 2023YFS0034the Clinical Discipline. Development Fund of West China Second Hospital, Sichuan University No. KL119 to Ping Li
6 · The paper itself

Abstract

backgroundCurrent studies tend to stress on the overall prevention of pediatric obesity, whereas few of them focus on effective measures of preventing diagnosed obesity from deteriorating into severe obesity and from developing cardio-metabolic comorbidities.

objectiveThis study was conducted to thoroughly analyze: (i) the cardio-metabolic characteristics, and (ii) the importance ranking and warning model of risk factors of metabolic disorder in children and adolescents with severe obesity.

methodsThis is designed as a nested cohort study with data sourced from an ongoing Southwest China Pediatric Obesity Prevention and Control Study (SCPOPCS). Children and adolescents with obesity aged 3-18 years were enrolled. Anthropometric indices, vital signs, metabolic laboratory tests, and self-administrated questionnaire were collected at first outpatient visit.

results236 cases of children and adolescents with obesity were enrolled (176 mild; 60 severe). Results showed that systolic blood pressure, diastolic blood pressure and heart rate, as well as weight, height, BMI, body circumferences, triceps and abdominal skinfold were significantly higher in children with severe obesity. Besides, a remarkably higher prevalence of metabolically unhealthy obesity was shown in children with severe obesity. Moreover, five independent contributing risk factors of severe obesity were derived from multivariate analyses, namely: Allergy diagnosed before 3 years old (aOR 2.696; 95% CI 1.350-5.436; p = 0.005), Pregnancy complicated with obesity (aOR 3.881; 95% CI 1.213-12.471; p = 0.021), Pregnancy complicated with cholestasis (aOR 4.641; 95% CI 1.141-19.582; p = 0.031 ), Frequency of siesta per week (aOR 1.773; 95% CI 1.177-2.693; p = 0.006 ) and Frequency of dining out per week (aOR 1.804; 95% CI 1.040-3.144; p = 0.036), as well as one independent protective factor, which was Bedtime on weekday nights (aOR 0.571; 95% CI 0.339-0.938; p = 0.030).

conclusionsThis study attempted to understand the physiological changes induced by severe obesity, and we found that severe obesity had higher risk of metabolic syndromes, including especially hypertension, abnormal glucose metabolism, fatty liver and abnormal uric acid metabolism. A predictive model with good fitting degree was built, from which we derived five independent risk factors and one protective factor of severe obesity.

Indexed as

Life StyleMetabolic DiseasesMetabolic SyndromeObesity, MorbidPediatric ObesityAdolescentChildChild, PreschoolChinaCohort StudiesFemaleHumansMaleRisk FactorsCardio-metabolic characteristicsChildrenNomogramRandom forest modelSevere obesity

Identifiers

PMID41194051
PMCPMC12590640

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.