Evidence map›Paper›PMID 30660185›Full record

ArticleCardiovascular diabetology2019

Developmental trajectories of body mass index from childhood into late adolescence and subsequent late adolescence-young adulthood cardiometabolic risk markers.

Kolade Oluwagbemigun, Anette E Buyken, Ute Alexy, Matthias Schmid, Christian Herder, Ute Nöthlings

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
11.1field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 74 citations in OpenAlex.

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  12. Association of Adolescents' Body Mass Index Classification With Preventive Clinical Care Receipt.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2023
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  16. Body Mass Index Trajectory and Outcome Post Fontan Procedure.Journal of the American Heart Association · 2022
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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

6 authors at 4 institutions in 1 country.

Kolade OluwagbemigunNutritional Epidemiology, DONALD Study, Department of Nutrition and Food Sciences, Rheinische Friedrich-Wilhelms-University Bonn, Bonn, Germany. koluwagb@uni-bonn.de.ORCID 0000-0002-9454-5970
Anette E BuykenInstitute of Nutrition, Consumption and Health, Faculty of Natural Sciences, University Paderborn, Paderborn, Germany.
Ute AlexyNutritional Epidemiology, DONALD Study, Department of Nutrition and Food Sciences, Rheinische Friedrich-Wilhelms-University Bonn, Bonn, Germany.
Matthias SchmidDepartment of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-University Bonn, Bonn, Germany.
Christian HerderInstitute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Ute NöthlingsNutritional Epidemiology, DONALD Study, Department of Nutrition and Food Sciences, Rheinische Friedrich-Wilhelms-University Bonn, Bonn, Germany.
University of Bonn · DEDeutsches Diabetes-Zentrum e.V. · DEPaderborn University · DEUniversity Hospital Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReports on body mass index (BMI) trajectories from childhood into late adolescence, their determinants, and subsequent cardiometabolic risk markers, particularly among European populations have been few. Moreover, sex-specific investigation is necessary considering the sex difference in BMI, and the sex-specific association between BMI and some cardiometabolic risk markers.

methodsUsing a sample from the DOrtmund Nutritional and Anthropometric Longitudinally Designed study, we explored sex-specific trajectories of the BMI standard deviation score (SDS) from 4 to 18 years of age in 354 males and 335 females by latent (class) growth models. The determinants of trajectory were assessed by logistic regression. We identified cardiometabolic risk markers that were highly associated with BMI SDS trajectory by random forest regression, and finally we used generalized linear models to investigate differences in the identified cardiometabolic risk markers between pairs of trajectories.

resultsWe observed four: 'low-normal weight', 'mid-normal weight', 'high-normal weight', and 'overweight', and three: ''low-normal weight', 'mid-normal weight', and 'high-normal weight' trajectories in males and females, respectively. Higher maternal prepregnancy BMI was associated with the 'overweight' trajectory, and with 'high-normal weight' trajectory in both sexes. In addition, employed mothers and first-born status were associated with 'high-normal weight' trajectory in females. BMI SDS trajectory was associated with high-density lipoprotein-cholesterol and interleukin-18 (IL-18) in males, and diastolic blood pressure and interleukin-6 (IL-6) in females. However, only males following the 'overweight' trajectory had significantly higher IL-18 when compared to their 'low-normal weight' counterpart.

conclusionsWe identified sex-specific distinct trajectories of BMI SDS from childhood into late adolescence, higher maternal prepregnancy BMI as a common determinant of the 'high-normal weight' and 'overweight' trajectories, and 'overweight' trajectory being associated with elevated IL-18 in late adolescence-young adulthood. This study emphasizes the role of maternal prepregnancy BMI in overweight, and highlights IL-18 as a cardiometabolic signature of overweight across life.

Indexed as

Adolescent DevelopmentBody Mass IndexChild DevelopmentAdolescentAdultAge FactorsBiomarkersBlood PressureBody WeightChildChild, PreschoolFemaleGermanyHumansInterleukin-18Interleukin-6BiomarkersIL6 protein, humanInterleukin-18Interleukin-6LipidsBody mass indexCardiometabolic risk markersDiastolic blood pressureHigh-density lipoprotein cholesterolIL-18IL-6Latent (class) growth modelsMaternal prepregnancy body mass indexTrajectory

Identifiers

PMID30660185
PMCPMC6339359
OpenAlexW2912325276

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.