Evidence map›Paper›PMID 38188884›Full record

ArticleThe Pan African medical journal2023

Relationship between maternal and infant serum vitamin D levels in Jos, Plateau State, Nigeria: a cross-sectional study.

Ishaya Ibrahim Abok, Lucius Chidiebere Imoh, Fidelia Bode-Thomas, Stephen Oguche, Ayuba Zoakah, Atiene Sagay

Open access · goldAbstract read
In one paragraph

Article in The Pan African medical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 82% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Ishaya Ibrahim AbokDepartment of Paediatrics, College of Health Sciences, University of Jos, Jos, Nigeria.
Lucius Chidiebere ImohChemical Pathology, College of Health Sciences, University of Jos, Jos, Nigeria.
Fidelia Bode-ThomasDepartment of Paediatrics, College of Health Sciences, University of Jos, Jos, Nigeria.
Stephen OgucheDepartment of Paediatrics, College of Health Sciences, University of Jos, Jos, Nigeria.
Ayuba ZoakahDepartment of Community Medicine, College of Health Sciences, University of Jos, Jos, Nigeria.
Atiene SagayDepartment of Obstetrics and Gynaecology, College of Health Sciences, University of Jos, Jos, Nigeria.
University of Jos · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: there is growing interest in the link between maternal and infant vitamin D (VD) levels. Breast milk transmission and the fact that the mother and her child may share risk factors for VD, such as exposure to sunlight, diet, and sociocultural influences may impact VD status, the magnitude of which is largely unknown in our topical low-middle income setting. We assessed the connection between maternal and infant VD status including their correlates. Methods: this cross-sectional study investigated 95 maternal-infant pairs in Jos. Mothers were interviewed using a questionnaire. Blood sampling and analysis of serum total 25 hydroxy VD were performed using the chemiluminescent immunoassay method. Maternal and infant VD levels were classified as VD deficient (VDD), VD insufficient (VDI), and VD sufficient (VDS). The mean maternal and infant VD were compared, and the Spearman correlation between them was assessed, a stepwise linear regression was also performed with infant vitamin D as a dependent variable. For all statistical analysis, p<0.05 was considered significant. Results: the median maternal and infant VD was 29.68 ng/ml and 29.41 ng/ml, respectively. The mean infant VD (32.19 ± 10.61 ng/ml) was comparable to maternal VD (31.12 ± 12.94 ng/ml) (p=0.483), with a Spearman correlation coefficient of 0.3 (p=0.037). Maternal vitamin D (beta=0.539, duration of exclusive breastfeeding (beta=-3.490), and infant age (beta=1.655) were found to be significant independent predictors of infant vitamin. Conclusion: beyond neonatal age, a significant positive relationship between maternal and infants´ VD levels exists and suggests that family-focused vitamin D intervention might be an effective public health approach in the tropical city of Jos.

Indexed as

Vitamin DVitaminsChildCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMilk, HumanMothersNigeriaVitamin DVitamins25 hydroxyl vitamin D3infantMotherNigeriavitamin D

Identifiers

PMID38188884
PMCPMC10768551
OpenAlexW4387270951

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LicenceCC BY
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Registered trials

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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.