Evidence map›Paper›PMID 41423941›Full record

ArticleObesity (Silver Spring, Md.)2026

Examining Biomarkers for Dyslipidemia, Diabetes, and NAFLD by CDC's 2022 Extended BMI Percentiles in US Youth Aged 6-17 Years.

Samantha L Pierce, Renee M Porter, Lyudmyla Kompaniyets, Siran He, Alyson B Goodman

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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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

5 authors.

Samantha L PierceDivision of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0002-8193-1848
Renee M PorterDivision of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Lyudmyla KompaniyetsDivision of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0003-0634-689X
Siran HeDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Alyson B GoodmanDivision of Nutrition, Physical Activity, and Obesity, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study examined associations between CDC's 2022 extended BMI percentiles (BMIp) and cardiometabolic biomarkers.

methodsUsing electronic medical record data, we included patients aged 6-17 years with BMI ≥ 85th percentile who had at least one of the following: total cholesterol, low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol (HDL), triglycerides, alanine aminotransferase (ALT), and hemoglobin A1c (HbA1c). We calculated adjusted prevalence ratios (aPR) for (1) borderline or abnormal and (2) abnormal lab values by extended BMIp (85th-< 95th, 95th-< 98th, 98th-< 99th, 99th-< 99.9th, ≥ 99.9th).

resultsCompared to those with overweight (BMIp 85th-< 95th), patients in higher extended BMIp categories had a higher prevalence of borderline or abnormal HbA1c (aPR range: 1.46-2.79), ALT (aPR range: 1.58-2.59), triglycerides (aPR range: 1.24-1.46), total cholesterol (aPR range: 1.11-1.23), HDL (aPR range: 1.40-1.94), and LDL (aPR range: 1.23-1.55). Dose-response relationships were observed for multiple cardiometabolic biomarkers. Similar patterns were found for abnormal lab values.

conclusionsMany US youth aged 6-17 with overweight and obesity had borderline or abnormal cardiometabolic biomarkers. Risks varied within obesity: higher extended BMIp were linked to a greater likelihood of borderline or abnormal lab values. Identifying extended BMIp thresholds tied to these risks could facilitate clinical practice, including identifying high-risk patients and informing escalation of care.

Indexed as

Body Mass IndexDiabetes MellitusDyslipidemiasNon-alcoholic Fatty Liver DiseasePediatric ObesityAdolescentAlanine TransaminaseBiomarkersCenters for Disease Control and Prevention, U.S.ChildCholesterol, HDLFemaleGlycated HemoglobinHumansMaleOverweightAlanine TransaminaseBiomarkersCholesterol, HDLGlycated Hemoglobinhemoglobin A1c protein, humanTriglycerideschildhood obesitychronic disease riskelectronic health recordsextended BMI percentile

Identifiers

PMID41423941
PMCPMC12850602

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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.