Evidence map›Paper›PMID 36078596›Full record

ArticleInternational journal of environmental research and public health2022

Birth Order, Caesarean Section, or Daycare Attendance in Relation to Child- and Adult-Onset Type 1 Diabetes: Results from the German National Cohort.

Justine Tanoey, Christina Baechle, Hermann Brenner, Andreas Deckert, Julia Fricke, Kathrin Günther, André Karch, Thomas Keil, Alexander Kluttig, Michael Leitzmann and 20 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Observational
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

30 authors at 16 institutions in 1 country.

Justine TanoeyInstitute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Christina BaechleInstitute for Biometrics and Epidemiology, German Diabetes Center (DDZ), Leibniz Institute for Diabetes Research, Heinrich Heine University, 40225 Düsseldorf, Germany.ORCID 0000-0003-1262-7591
Hermann BrennerClinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.ORCID 0000-0002-6129-1572
Andreas DeckertHeidelberg Institute of Global Health, Heidelberg University Hospital, 69120 Heidelberg, Germany.ORCID 0000-0003-0526-6249
Julia FrickeInstitute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany.ORCID 0000-0002-7625-474X
Kathrin GüntherLeibniz Institute for Prevention Research and Epidemiology-BIPS, 28359 Bremen, Germany.
André KarchInstitute for Epidemiology and Social Medicine, Albert-Schweitzer-Campus 1, Building D3, 48149 Münster, Germany.
Thomas KeilInstitute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany.ORCID 0000-0002-9108-3360
Alexander KluttigInstitute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Martin Luther University Halle-Wittenberg, 06112 Halle (Saale), Germany.
Michael LeitzmannDepartment for Epidemiology and Preventive Medicine, Regensburg University Medical Center, 93053 Regensburg, Germany.
Rafael MikolajczykInstitute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Martin Luther University Halle-Wittenberg, 06112 Halle (Saale), Germany.ORCID 0000-0003-1271-7204
Nadia ObiInstitute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.ORCID 0000-0002-0903-9142
Tobias PischonMax-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Molecular Epidemiology Research Group, 13125 Berlin, Germany.ORCID 0000-0003-1568-767X
Tamara SchikowskiLeibniz Research Institute for Environmental Medicine-IUF, 40225 Düsseldorf, Germany.
Sabine M SchipfInstitute for Community Medicine, University Medicine Greifswald, 17489 Greifswald, Germany.
Matthias B SchulzeGerman Institute of Human Nutrition Potsdam-Rehbruecke, 14558 Nuthetal, Germany.ORCID 0000-0002-0830-5277
Anja SedlmeierDepartment for Epidemiology and Preventive Medicine, Regensburg University Medical Center, 93053 Regensburg, Germany.ORCID 0000-0002-7564-3065
Ilais Moreno VelásquezMax-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Molecular Epidemiology Research Group, 13125 Berlin, Germany.
Katharina S WeberInstitute of Epidemiology, Kiel University, 24105 Kiel, Germany.ORCID 0000-0002-5555-2641
Henry VölzkeInstitute for Community Medicine, University Medicine Greifswald, 17489 Greifswald, Germany.
Wolfgang AhrensLeibniz Institute for Prevention Research and Epidemiology-BIPS, 28359 Bremen, Germany.ORCID 0000-0003-3777-570X
Sylvia GastellGerman Institute of Human Nutrition Potsdam-Rehbruecke, 14558 Nuthetal, Germany.
Bernd HolleczekClinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.ORCID 0000-0001-8759-4371
Karl-Heinz JöckelInstitute of Medical Informatics, Biometry und Epidemiology, Essen University Hospital, 45147 Essen, Germany.
Verena KatzkeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Wolfgang LiebInstitute of Epidemiology, Kiel University, 24105 Kiel, Germany.ORCID 0000-0003-2544-4460
Karin B MichelsInstitute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, 79110 Freiburg, Germany.
Börge SchmidtInstitute of Medical Informatics, Biometry und Epidemiology, Essen University Hospital, 45147 Essen, Germany.
Henning TeismannInstitute for Epidemiology and Social Medicine, Albert-Schweitzer-Campus 1, Building D3, 48149 Münster, Germany.ORCID 0000-0001-5807-5572
Heiko BecherInstitute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.ORCID 0000-0002-8808-6667
German Cancer Research Center · DEUniversität Hamburg · DEChristian-Albrechts-Universität zu Kiel · DEEssen University Hospital · DELeibniz Institute for Prevention Research and Epidemiology - BIPS · DEMartin Luther University Halle-Wittenberg · DEMax Delbrück Center · DEUniversitätsmedizin Greifswald · DECharité - Universitätsmedizin Berlin · DEDeutsches Diabetes-Zentrum e.V. · DEGerman Institute of Human Nutrition · DEHeidelberg University · DELeibniz Institute of Environmental Medicine · DEUniversity of Freiburg · DEUniversity of Potsdam · DEUniversity of Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Global incidence of type 1 diabetes (T1D) is rising and nearly half occurred in adults. However, it is unclear if certain early-life childhood T1D risk factors were also associated with adult-onset T1D. This study aimed to assess associations between birth order, delivery mode or daycare attendance and type 1 diabetes (T1D) risk in a population-based cohort and whether these were similar for childhood- and adult-onset T1D (cut-off age 15); (2) Methods: Data were obtained from the German National Cohort (NAKO Gesundheitsstudie) baseline assessment. Self-reported diabetes was classified as T1D if: diagnosis age ≤ 40 years and has been receiving insulin treatment since less than one year after diagnosis. Cox regression was applied for T1D risk analysis; (3) Results: Analyses included 101,411 participants (100 childhood- and 271 adult-onset T1D cases). Compared to "only-children", HRs for second- or later-born individuals were 0.70 (95% CI = 0.50-0.96) and 0.65 (95% CI = 0.45-0.94), respectively, regardless of parental diabetes, migration background, birth year and perinatal factors. In further analyses, higher birth order reduced T1D risk in children and adults born in recent decades. Caesarean section and daycare attendance showed no clear associations with T1D risk; (4) Conclusions: Birth order should be considered in both children and adults' T1D risk assessment for early detection.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2AdolescentAdultBirth OrderCesarean SectionChildCohort StudiesFemaleHumansPregnancyadult-onsetautoimmunedelivery modelate-onsetNAKOoffspringperinatalsex

Identifiers

PMID36078596
PMCPMC9517906
OpenAlexW4294326337

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.