Evidence map›Paper›PMID 37033277›Full record

ArticleInternational journal of preventive medicine2023

The Impact of Iron Supplementation During Pregnancy and Change of Consumption among Stunting Children Aged 6-24 Months During the COVID-19 Pandemic in Indonesia.

Kencana Sari, Ratu Ayu Dewi Sartika

Open access · goldAbstract read
In one paragraph

Article in International journal of preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Kencana SariDoctorate Candidate of Faculty of Public Health, University of Indonesia, Departemen Gizi. Gedung G, Fakultas Kesehatan Masyarakat, UI, Depok.
Ratu Ayu Dewi SartikaDepartment of Nutrition, Faculty of Public Health, University of Indonesia, Departemen Gizi. Gedung G, Fakultas Kesehatan Masyarakat, UI, Depok, Jawa Barat, Indonesia.
University of Indonesia · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: During the COVID-19 pandemic, stunting is estimated to increase 2.4 times higher (It seems that some information is missing here because the usage of the word 'higher' hints at a comparison with some other statistic. Or please consider making the following changes in the statement: "…stunting is estimated to be 2.4 times higher than the normal trend." which can increase mortality, morbidity, and cause economic losses in the future. This study aims to identify the risk factors for stunting during the COVID-19 pandemic. Methods: An unmatched case-control study was conducted to compare the exposure of stunted (cases) and non-stunted (controls) children. There were 127 children aged 6-24 months, 43 cases, and 84 controls. Results: The probability of stunting was two times greater in children who experienced good changes in the consumption of tofu/tempeh (p: 0.047; AdjustedOR (aOR): 2.296; 95% CI 1.013-5.205) and fourtimes greater in children who have a mother that did not receive iron supplementation during pregnancy (p: 0.030; aOR: 4.344; 95% CI: 1.154-16.355). Conclusions: Based on the above results, increasing access to nutritious food, and the delivery of services and information related to maternal and child health services during the pandemic needs to be intensified by using innovative low-risk platforms.

Indexed as

ConsumptionCOVID-19iron supplementationstunting

Identifiers

PMID37033277
PMCPMC10080565
OpenAlexW4363645326

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.