Evidence map›Paper›PMID 29693777›Full record

ArticleMaternal & child nutrition2018

Milk feeding and first complementary foods during the first year of life in the TEDDY study.

Anne Riikonen, David Hadley, Ulla Uusitalo, Nicole Miller, Sibylle Koletzko, Jimin Yang, Carin Andrén Aronsson, Sandra Hummel, Jill M Norris, Suvi M Virtanen and 1 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Maternal & child nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. S3 guideline Allergy Prevention.Allergologie select · 2022
    Article
  2. Review
  3. 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

11 authors at 8 institutions in 5 countries.

Anne RiikonenPublic Health Promotion, Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland.ORCID 0000-0003-0154-0271
David HadleyTransMed Systems, Inc., Cupertino, CA, USA.
Ulla UusitaloHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.
Nicole MillerUniversity of Massachusetts Amherst MPH in Nutrition Graduate, Massachusetts, MA, USA.
Sibylle KoletzkoDr.von Hauner Children's Hospital, Ludwig Maximilians University, Munich, Germany.
Jimin YangHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.
Carin Andrén AronssonDepartment of Clinical Sciences, Lund University, Malmö, Sweden.ORCID 0000-0003-0256-9367
Sandra HummelInstitute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany.
Jill M NorrisDepartment of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA.
Suvi M VirtanenPublic Health Promotion, Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland.
TEDDY Study Group
Tampere University · FIUniversity of South Florida · USColorado School of Public Health · USHelmholtz Zentrum München · DELudwig-Maximilians-Universität München · DELund University · SESt George's, University of London · GBUniversity of Massachusetts Amherst · US

Funding

Data Coordinating Center (DCC)for the Consortium for Identification of EnvironmenUC4DK095300 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2011 to 2011
$56.0M
Data Coordinating CenterU01DK063790 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2002 to 2006
$50.1M
Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
NIDDK Follow-up on Subjects and Immunological Assessments in The Environmental Determinants of Diabetes In The Young Study (TEDDY) (UC4)UC4DK117483 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2017 to 2020
$30.4M
Establish a Data Coordinating Center (DCC) for the Consortium for Identification UC4DK100238 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2014 to 2014
$28.9M
The Study of Epigenetics and Infections in The Environmental Determinants of Diabetes in the Young (TEDDY)UC4DK112243 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2016 to 2016
$27.0M
Data Coordinating Center (DCC) for the Consortium for Identification of Environmental Determinants of Diabetes in the Young (TEDDY) StudyUC4DK106955 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2015 to 2015
$20.0M
The Environmental Determinants of Diabetes in Young (TEDDY0U01DK063863 · NIDDK · HOSPITAL DISTRICT OF SOUTHWEST FINLAND · PI TOPPARI, JORMA · 2003 to 2022
$13.5M
The Environmental Triggers of Diabetes (TEDDY) in SwedenU01DK063861 · NIDDK · UNIVERSITY OF WASHINGTON · PI LERNMARK, AKE · 2003 to 2022
$13.4M
THE TEDDY STUDY - COLORADO CLINICAL CENTERU01DK063821 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 2003 to 2022
$12.3M
The TEDDY Study: Georgia/Florida Clinical CenterU01DK063865 · NIDDK · MEDICAL COLLEGE OF GEORGIA (MCG) · PI MCINDOE, RICHARD A. · 2003 to 2022
$12.3M
NCATS NIH HHS UL1 TR000064NCATS NIH HHS UL1 TR001082NCATS NIH HHS UL1 TR001427NIDDK NIH HHS HHSN267200700014CNIDDK NIH HHS U01 DK063790NIDDK NIH HHS U01 DK063821NIDDK NIH HHS U01 DK063829NIDDK NIH HHS U01 DK063836NIDDK NIH HHS U01 DK063861NIDDK NIH HHS U01 DK063863NIDDK NIH HHS U01 DK063865NIDDK NIH HHS UC4 DK063821NIDDK NIH HHS UC4 DK063829NIDDK NIH HHS UC4 DK063836NIDDK NIH HHS UC4 DK063861NIDDK NIH HHS UC4 DK063863NIDDK NIH HHS UC4 DK063865NIDDK NIH HHS UC4 DK095300NIDDK NIH HHS UC4 DK100238NIDDK NIH HHS UC4 DK106955NIDDK NIH HHS UC4 DK112243NIDDK NIH HHS UC4 DK117483NLM NIH HHS HHSN267200700014C
6 · The paper itself

Abstract

The aim was to describe milk feeding patterns and first weaning foods during the first year of life in a large prospective birth cohort of infants with increased genetic risk for Type 1 diabetes (T1D) recruited in 4 different countries: the United States, Finland, Germany, and Sweden. All enrolled children with dietary information (n = 8,673) were included in the analyses; 1,307 (15%) children who dropped out before the first birthday were excluded from some analyses. Supplementary milk feeding in the first 3 days of life was common in all the four countries, although the type of the supplementary milk differed by country and by maternal T1D. Donated human milk was commonly used only in Finland. In all the countries, the most common first supplementary food was cow's milk-based infant formula, especially among offspring of mothers with T1D. The use of specific types of infant formulas differed notably by country: Extensively hydrolysed formulas were most used in Finland, partially hydrolysed ones in the United States and in Germany, and soy formulas only in the United States. Infant formulas commonly included probiotics, prebiotics, and starches. During the first year of life, most of the infants received conventional cow's milk. Overall, milk feeding during the first 3 days of life and thereafter until the first birthday differed markedly by maternal T1D status and across countries. These descriptive data may be useful in understanding early infant feeding practices and in planning potential interventions, which affect infant feeding.

Indexed as

Feeding BehaviorAnimalsDiabetes Mellitus, Type 1EuropeHumansInfantInfant FormulaInfant, NewbornMilkMothersProspective StudiesUnited Statesbreastfeedinginfantinfant feedinginfant formulamilk feeding patternstype 1 diabetes

Identifiers

PMID29693777
PMCPMC6156929
OpenAlexW2803077168

What OpenQuestion holds

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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.