Evidence map›Paper›PMID 35720171›Full record

ArticleJournal of nutritional science2022

Ethnic differences in adverse iron status in early pregnancy: a cross-sectional population-based study.

Hugo G Quezada-Pinedo, Florian Cassel, Martina U Muckenthaler, Max Gassmann, Luis Huicho, Irwin K Reiss, Liesbeth Duijts, Romy Gaillard, Marijn J Vermeulen

Open access · goldAbstract read
In one paragraph

Article in Journal of nutritional science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. 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

9 authors at 3 institutions in 4 countries.

Hugo G Quezada-PinedoThe Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0002-0641-7718
Florian CasselDepartment of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Martina U MuckenthalerDepartment of Pediatric Hematology, Oncology and Immunology, University Hospital Heidelberg, Heidelberg, Germany.
Max GassmannInstitute of Veterinary Physiology, Vetsuisse Faculty and Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland.
Luis HuichoSchool of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru.
Irwin K ReissThe Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands.
Liesbeth DuijtsDepartment of Pediatrics, Division of Neonatology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
Romy GaillardThe Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands.
Marijn J VermeulenThe Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands.
Erasmus MC · NLUniversidad Peruana Cayetano Heredia · PEHeidelberg University · DE

Funding

ZonMw 543003109
6 · The paper itself

Abstract

We studied ethnic differences in terms of iron status during pregnancy between Dutch women and other ethnicities and explore to what extent these differences can be explained by environmental factors. This cross-sectional population-based study (2002-2006) was embedded in the Generation R study and included a total of 4737 pregnant women from seven ethnic groups (Dutch, Turkish, Moroccan, Cape Verdean, Surinamese-Hindustani, Surinamese-Creole and Antillean). Ethnicity was defined according to the Dutch classification of ethnic background. Ferritin, iron and transferrin were measured in early pregnancy. The overall prevalence of iron deficiency was 7 %, ranging from 4 % in both Dutch and Surinamese-Creoles, to 18 % in Turkish, Moroccan and Surinamese-Hindustani women. Iron overload was most prevalent in Surinamese-Creole (11 %) and Dutch (9 %) women. Socioeconomic factors accounted for 5-36 % of the differences. Income was the strongest socioeconomic factor in the Cape Verdean and Surinamese-Hindustani groups and parity for the Turkish and Moroccan groups. Lifestyle determinants accounted for 8-14 % of the differences. In all groups, the strongest lifestyle factor was folic acid use, being associated with higher iron status. In conclusion, in our population, both iron deficiency and iron overload were common in early pregnancy. Our data suggest that ethnic differences in terms of socioeconomic and lifestyle factors only partly drive the large ethnic differences in iron status. Our data support the development of more specific prevention programmes based on further exploration of socioeconomic inequities, modifiable risk and genetic factors in specific ethnic subgroups, as well as the need for individual screening of iron status before supplementation.

Indexed as

IronIron OverloadCross-Sectional StudiesEthnicityFemaleHumansMalePregnancyPregnant PeopleIronFerritinHaemoglobinIron-deficiency anaemiaIron overload

Identifiers

PMID35720171
PMCPMC9161035
OpenAlexW4285113271

What Socratic 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 Socratic graph.