Evidence map›Paper›PMID 22607723›Full record

ArticlePublic health nutrition2013

Sociodemographic determinants of early weaning: a Finnish birth cohort study in infants with human leucocyte antigen-conferred susceptibility to type 1 diabetes.

Maijaliisa Erkkola, Maija Salmenhaara, Bright I Nwaru, Liisa Uusitalo, Carina Kronberg-Kippilä, Suvi Ahonen, Riitta Veijola, Mikael Knip, Suvi M Virtanen

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Article in Public health nutrition, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

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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

10 citing papers in PubMed.

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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

9 authors.

Maijaliisa ErkkolaDivision of Nutrition, Department of Food and Environmental Sciences, PO Box 66, FI-00014 University of Helsinki, Helsinki, Finland. maijaliisa.erkkola@helsinki.fi
Maija Salmenhaara
Bright I Nwaru
Liisa Uusitalo
Carina Kronberg-Kippilä
Suvi Ahonen
Riitta Veijola
Mikael Knip
Suvi M Virtanen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the most important sociodemographic determinants of age at introduction of complementary foods in infancy.

designA prospective birth cohort with increased risk of type 1 diabetes, recruited between 1996 and 2004. The families completed at home a follow-up form on the age at introduction of new foods and, for each clinic visit, a structured dietary questionnaire with 3 d food records.

settingData from the Type 1 Diabetes Prediction and Prevention (DIPP) Project, Finland. SUBJECTS: A cohort of 5991 infants (77 % of those invited) belonging to the DIPP Nutrition Study.

resultsSixty-three per cent of the infants were introduced to complementary foods, including infant formula, before the age of 4 months. The median age at introduction of infant formula was 1·5 months (range 0-18 months) and that of the first other complementary food 3·5 months (range 0·7-8 months). All sociodemographic and lifestyle factors studied were associated with the age at introduction of infant formula and/or first other complementary food. Female sex of the infant, being born in the southern region of Finland, living in a rural municipality, the presence of siblings, the mother or the father being a high-school graduate, high maternal professional education and maternal non-smoking during pregnancy predicted later introduction of complementary foods.

conclusionsCompliance was relatively poor with the current recommendations for the age of introducing complementary foods. Small-sized young families with less well-educated parents were most prone to introduce complementary foods early.

Indexed as

Age FactorsDietInfant FoodInfant Nutritional Physiological PhenomenaPatient ComplianceWeaningAdultDiabetes Mellitus, Type 1Family CharacteristicsFemaleFinlandHLA AntigensHumansInfantInfant FormulaMaleHLA Antigens

Identifiers

PMID22607723
PMCPMC10271657

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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.