Evidence map›Paper›PMID 30937540›Full record

ArticleWiener klinische Wochenschrift2019

Body mass index and height in 11- to 16-year-old Austrian students attending two different school types with divergent socioeconomic backgrounds.

Stefan Riedl, Veronika Riedl-Schlauss, Gabriele Häusler, Andreas Gleiss

Open access · hybridAbstract read
In one paragraph

Article in Wiener klinische Wochenschrift, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Stefan RiedlSt Anna Children's Hospital, Department of Pediatrics, Medical University of Vienna, Kinderspitalgasse 6, Vienna, Austria. stefan.riedl@meduniwien.ac.at.ORCID http://orcid.org/0000-0002-4757-3450
Veronika Riedl-SchlaussCentre for Psychosocial Health, Unterwegs e. V., Vienna, Austria.
Gabriele HäuslerDivision of Pulmology, Allergology and Endocrinology, Department of Pediatric and Adolescent Medicine, Medical University of Vienna, Vienna, Austria.
Andreas GleissCentre for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · ATSt Anna Children's Hospital · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn developed countries high socioeconomic status (SES) is associated with lower body mass index (BMI) and greater height compared with low SES.

aimTo investigate differences in BMI/height in adolescent students from two different school types with divergent SES backgrounds.

methodsA total of 4579 students (2313 female), aged 11-16 years, attending either low SES vocation-directed secondary schools (VSS) or high SES secondary academic schools (AHS) were compared. Potential differences were investigated using ANCOVA models including sex, school type, geographical region and degree of urbanicity.

resultsAt all ages between 11 and 16 years the BMI of students attending VSS was significantly higher than that of students attending AHS (mean +0.87kg/m

conclusionThese findings suggest that differences in BMI and height between students reflect early SES-based grouping into school types according to the academic level of the schools they attend.

Indexed as

Body Mass IndexOverweightSocial ClassStudentsAdolescentAustriaBody HeightChildCross-Sectional StudiesFemaleHumansMaleObesitySchoolsAdolescent growthChildhood obesityObesity epidemicsSocial classSocioeconomic status

Identifiers

PMID30937540
PMCPMC6647492
OpenAlexW2932024544

What OpenQuestion holds

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LicenceCC BY
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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.