Evidence map›Paper›PMID 38377337›Full record

Observational studyDeutsches Arzteblatt international2024

Differences in Anthropometric Measures Based on Sex, Age, and Health Status: Findings From the German National Cohort (NAKO).

Michael J Stein, Beate Fischer, Patricia Bohmann, Wolfgang Ahrens, Klaus Berger, Hermann Brenner, Kathrin Günther, Volker Harth, Jana-Kristin Heise, André Karch and 19 more

Open access · greenAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Deutsches Arzteblatt international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. In Reply.Deutsches Arzteblatt international · 2024
    Article
  6. Sometimes Less Is More.Deutsches Arzteblatt international · 2024
    Article
  7. Article
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

29 authors at 1 institution in 1 country.

Michael J SteinDepartment of Epidemiology and Preventive Medicine, University of Regensburg; Department of Epidemiology and Preventive Medicine, Center for Translational Oncology, University Hospital Regensburg and Bavarian Cancer Research Center (BZKF), Regensburg; Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany; Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany; Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Institute for Occupational and Maritime Medicine Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany; Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany; Institute of Epidemiology, Kiel University, Kiel, Germany; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany; Institute for Medical Epidemiology, Biometrics, and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany; Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany; Institute of Epidemiology, Helmholtz Munich, German Research Center for Environmental Health, Neuherberg, Germany; Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany; German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany; Biobank Technology Platform, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany; Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Institute for Medical Informatics, Biometry and Epidemiology, Essen University Hospital, University of Duisburg-Essen, Germany; NAKO Study Center, Department of Diagnostic and Interventional Radiology and Neuroradiology, Augsburg University Hospital, Augsburg, Germany; LIFE-Leipzig Research Centre for Civilization Diseases, University of Leipzig, Leipzig, Germany.
Beate Fischer
Patricia Bohmann
Wolfgang Ahrens
Klaus Berger
Hermann Brenner
Kathrin Günther
Volker Harth
Jana-Kristin Heise
André Karch
Carolina J Klett-Tammen
Lena Koch-Gallenkamp
Lilian Krist
Wolfgang Lieb
Claudia Meinke-Franze
Karin B Michels
Rafael Mikolajczyk
Katharina Nimptsch
Nadia Obi
Annette Peters
Tobias Pischon
Sabine Schipf
Börge Schmidt
Andreas Stang
Sigrid Thierry
Stefan N Willich
Kerstin Wirkner
Michael F Leitzmann
Anja M Sedlmeier
University Medical Center Hamburg-Eppendorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is a worldwide health problem. We conducted detailed analyses of anthropometric measures in a comprehensive, population-based, current cohort in Germany.

methodsIn the German National Cohort (NAKO), we analyzed cross-sectional data on body mass index (BMI), waist and hip circumference, subcutaneous (SAT) and visceral adipose tissue (VAT) as measured by ultrasound, and body fat percentage. The data were stratified by sex, age, and self-reported physicians' diagnoses of cardiovascular diseases (CVD), metabolic diseases (MetD), cardiometabolic diseases (CMD), and cancer.

resultsData were available from 204 751 participants (age, 49.9 ± 12.8 years; 50.5% women). Body size measures generally increased with age. Men had a higher BMI, larger waist circumference, and more VAT than women, while women had a larger hip circumference, more SAT, and a higher body fat percentage than men. For example, the mean BMI of participants over age 60 was 28.3 kg/m2 in men and 27.6 kg/m2 in women. CVD, MetD, and CMD were associated with higher anthropometric values, while cancer was not. For example, the mean BMI was 25.3 kg/m2 in healthy women, 29.4 kg/m2 in women with CMD, and 25.4 kg/m2 in women with cancer.

conclusionObesity is widespread in Germany, with notable differences between the sexes in anthro - pometric values. Obesity was more common in older participants and those with chronic diseases other than cancer. Elevated values were especially common in multimorbid individuals.

Indexed as

AnthropometryAdultAgedAge DistributionBody Mass IndexCardiovascular DiseasesFemaleGermanyHealth StatusHumansMaleMiddle AgedObesitySex Distribution

Identifiers

PMID38377337
PMCPMC11539873
OpenAlexW4393176621

What OpenQuestion holds

Textmetadata
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.