Evidence map›Paper›PMID 25880559›Full record

ArticleBMC public health2015

Anthropometric measurements in childhood and prediction of cardiovascular risk factors in adulthood: Kaunas cardiovascular risk cohort study.

Janina Petkeviciene, Jurate Klumbiene, Vilma Kriaucioniene, Asta Raskiliene, Edita Sakyte, Indre Ceponiene

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
7.9field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 64 citations in OpenAlex.

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  10. Associations ofGenes · 2021
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  18. Cardiometabolic risk in obese children.Annals of the New York Academy of Sciences · 2018
    Review
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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 1 institution in 1 country.

Janina PetkevicieneFaculty of Public Health, Medical Academy, Lithuanian University of Health Sciences, Siaures av. 57, Kaunas, Lithuania. janina.petkeviciene@lsmuni.lt.
Jurate KlumbieneFaculty of Public Health, Medical Academy, Lithuanian University of Health Sciences, Siaures av. 57, Kaunas, Lithuania. jurate.klumbiene@lsmuni.lt.
Vilma KriaucionieneFaculty of Public Health, Medical Academy, Lithuanian University of Health Sciences, Siaures av. 57, Kaunas, Lithuania. vilmabor@yahoo.co.uk.
Asta RaskilieneFaculty of Public Health, Medical Academy, Lithuanian University of Health Sciences, Siaures av. 57, Kaunas, Lithuania. asta.petrauskaite@gmail.com.
Edita SakyteFaculty of Public Health, Medical Academy, Lithuanian University of Health Sciences, Siaures av. 57, Kaunas, Lithuania. edita.sakyte@gmail.com.
Indre CeponieneDepartment of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Eiveniu 2, Kaunas, Lithuania. indreva@gmail.com.
Lithuanian University of Health Sciences · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to examine the associations between anthropometric measurements in childhood and adulthood as well as the effect of childhood body mass index (BMI) and skinfold thickness in the prediction of adult cardiovascular risk factors.

methodsThe Study subjects were participants of the Kaunas Cardiovascular Risk Cohort study. They were 12-13 years old at the time of the baseline survey (1977) and 48-49 years old in the 35-year follow-up survey (2012, n = 506). In childhood, height, weight, subscapular and triceps skinfold thickness measurements were taken. In 2012, health examination involved measurements of blood pressure (BP), BMI, waist circumference, glucose, lipids, and high-sensitivity C-reactive protein (CRP) levels. Logistic regression models were fitted to assess the associations of childhood BMI and skinfold thicknesses as well as BMI gain with cardiovascular risk factors in middle age. All logistic regression models were adjusted for sex, physical activity level, alcohol consumption, smoking and family history of obesity.

resultsOver 35 years of follow-up, BMI gain was greater in men than in women. Anthropometric measurements in childhood significantly correlated with values measured in adulthood. The highest correlation coefficients were defined for weight and BMI measurements (in girls r = 0.56 and r = 0.51 respectively; in boys r = 0.45 and r = 0.41 respectively, P < 0.001). Mean values of change in BMI were similar in all quintiles of childhood BMI; however, prevalence of adult obesity increased considerably with increasing quintiles. The risk of adult obesity, metabolic syndrome, hyperglycaemia or type 2 diabetes, and elevated level of high-sensitivity CRP increased with a rise in childhood BMI and skinfold thicknesses, irrespectively of BMI gain from childhood to adulthood. No relationship was found between childhood anthropometric measurements and arterial hypertension, raised level of triglycerides or reduced level of HDL cholesterol. Gain in BMI from childhood to adulthood was associated with increased odds of all above-mentioned risk factors independently of childhood BMI.

conclusionsRisk of metabolic syndrome, hyperglycaemia and diabetes, and elevated high-sensitivity CRP may be affected by childhood BMI and skinfold thickness, while risk of hypertension, raised triglycerides and reduced HDL cholesterol is associated more strongly with BMI gain from childhood to adulthood.

Indexed as

AnthropometryPredictive Value of TestsBlood PressureBody Mass IndexCardiovascular DiseasesCardiovascular SystemCohort StudiesC-Reactive ProteinDiabetes Mellitus, Type 2FemaleHumansHyperglycemiaHypertensionLipidsMaleMetabolic SyndromeC-Reactive ProteinLipidsTriglycerides

Identifiers

PMID25880559
PMCPMC4359556
OpenAlexW2091528733

What Socratic 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 Socratic graph.