Evidence map›Paper›PMID 42177256›Full record

ArticleScientific reports2026

Lipid and glucose profiles in children and adolescents: associations with body composition and metabolic risk factors-a cross-sectional study.

Piotr Matłosz, Justyna Wyszyńska, Anna Bartosiewicz, Jarosław Herbert

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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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

4 authors.

Piotr MatłoszFaculty of Physical Culture Sciences, Medical College, University of Rzeszów, Cicha 2a street, Rzeszow, 35-312, Poland. pmatlosz@ur.edu.pl.
Justyna WyszyńskaFaculty of Health Sciences and Psychology, Medical College, University of Rzeszów, Warzywna 1a street, Rzeszow, 35-310, Poland.
Anna BartosiewiczFaculty of Health Sciences and Psychology, Medical College, University of Rzeszów, Warzywna 1a street, Rzeszow, 35-310, Poland.
Jarosław HerbertFaculty of Physical Culture Sciences, Medical College, University of Rzeszów, Cicha 2a street, Rzeszow, 35-312, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing prevalence of obesity and metabolic disturbances among children and adolescents underscores the need to evaluate early risk factors. This study aimed to assess the associations between anthropometric indices, physical activity, sleep duration, and lipid and glucose profiles in a sample of Polish youth. A cross-sectional study was conducted among 308 school-aged children and adolescents (7-17 years) in southeastern Poland. Anthropometric parameters and body composition were measured using standardized protocols and bioelectrical impedance analysis. Physical activity and sleep were objectively monitored using ActiGraph accelerometers. Lipid and glucose profiles were obtained via fasting capillary blood samples. A substantial proportion of participants exhibited abnormal lipid levels: 20.8% had borderline or high total cholesterol, 25.6% had elevated triglycerides, and 34.7% had suboptimal high-density lipoprotein cholesterol. Over one-third were classified as overfat or with obesity. Stepwise logistic regression identified low muscle mass as a significant predictor of high triglycerides (OR = 0.20; p < 0.001), and higher waist or hip circumference centiles were associated with low high-density lipoprotein levels. Only 25.5% of participants met physical activity recommendations, which was associated with lower triglyceride levels. Sleep duration did not significantly correlate with lipid or glucose outcomes. Dyslipidemia and excess adiposity are prevalent among Polish youth and are strongly associated with unfavorable body composition and low physical activity levels. Waist and hip circumferences emerged as important indicators of lipid risk. These findings highlight the importance of early prevention strategies targeting body composition and physical activity to mitigate long-term cardiometabolic risks.

Indexed as

Blood GlucoseBody CompositionLipidsPediatric ObesityAdolescentBody Mass IndexChildCross-Sectional StudiesExerciseFemaleHumansMalePolandSleep DurationWaist-Hip RatioBlood GlucoseLipidsBody compositionChildrenGlucose profileLpid profileMetabolic risk factors

Identifiers

PMID42177256
PMCPMC13421476

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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.