Evidence map›Paper›PMID 35132129›Full record

ArticlePediatric research2022

Prevalence and predictors of metabolically healthy obesity in severely obese Asian children.

Delicia Shu Qin Ooi, Siong Gim Ong, Owen Ming Hao Lee, Yiong Huak Chan, Yvonne Yijuan Lim, Cindy Wei Li Ho, Veronica Tay, K Vijaya, Kah Yin Loke, Andrew Anjian Sng and 1 more

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Article in Pediatric research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 15 citations in OpenAlex.

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  7. Association Between Metabolic and Obesity Phenotypes and Diabetes Risk in Children and Adolescents.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Delicia Shu Qin OoiDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Siong Gim OngDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Owen Ming Hao LeeDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Yiong Huak ChanBiostatistics Unit, Yong Loo Lin School Medicine, National University of Singapore, Singapore, Singapore.
Yvonne Yijuan LimDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Cindy Wei Li HoDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Veronica TayYouth Preventive Services Division, Health Promotion Board, Singapore, Singapore.
K VijayaYouth Preventive Services Division, Health Promotion Board, Singapore, Singapore.
Kah Yin LokeDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Andrew Anjian SngDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Yung Seng LeeDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. paeleeys@nus.edu.sg.
National University of Singapore · SGNational University Health System · SGHealth Promotion Board · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObese individuals who have little or no metabolic syndrome components are proposed to be "metabolically healthy obese (MHO)". This study aim to evaluate the prevalence of MHO and examine the predictors associated with MHO in a multi-ethnic Asian cohort of severely obese children.

methodsThis study included a cross-sectional cohort of 406 Chinese, Malay and Indian children aged 5-20 years old with BMI for age ≥ 97th percentile. Metabolic syndrome (MS) and metabolic health (MH) definitions based on the presence or absence of metabolic abnormalities (High triglycerides, low HDL cholesterol, elevated blood pressure and high glucose) were used to define MHO in the cohort.

resultsThe prevalence of MHO is 63.5% by MS definition and 22.4% by MH definition. Maternal healthy metabolic status (OR: 2.47), age (OR: 0.83, 0.80), paternal obesity (OR: 0.48, 0.53), Malay (OR: 1.97) and Indian ethnicity (OR: 6.38, 3.21) (compared to Chinese ethnicity) are independent predictors for MHO phenotype based on different MHO definitions.

conclusionsAdiposity measures are not associated with MHO phenotype, but instead younger age, maternal healthy metabolic status, absence of paternal obesity, Malay and Indian ethnicity are independent predictors for MHO phenotype in a multi-ethnic Asian cohort of severely obese children. IMPACT: The prevalence of metabolically healthy obese (MHO) in our multi-ethnic Asian cohort of severely obese children is 63.5% and 22.4%, respectively, based on different MHO definitions. Adiposity measures are not associated with the MHO phenotype. There are other factors that contribute to the metabolic phenotype in obese individuals. Younger age, maternal healthy metabolic status, absence of paternal obesity, Malay and Indian ethnicity are independent predictors for MHO phenotype. Parental influence is important in predicting metabolic health in obese individuals.

Indexed as

Metabolic SyndromeObesity, Metabolically BenignPediatric ObesityStatus EpilepticusBody Mass IndexCross-Sectional StudiesHumansPhenotypePrevalenceRisk Factors

Identifiers

PMID35132129
OpenAlexW4210247537

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Registered trials

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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.