Evidence map›Paper›PMID 38129518›Full record

ArticleScientific reports2023

Exploring factors influencing the severity of pregnancy anemia in India: a study using proportional odds model.

Iffat Ara Talin, Mahmudul Hasan Abid, Md Abdus Samad, Irma Domínguez Azpíroz, Isabel de la Torre Diez, Imran Ashraf, Abdullah-Al Nahid

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
2.0field-weighted citation impact, top 11% 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, 7 citations in OpenAlex.

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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

7 authors at 4 institutions in 4 countries.

Iffat Ara TalinElectronics and Communication Engineering Discipline, Khulna University, Khulna, 9208, Bangladesh.
Mahmudul Hasan AbidElectronics and Communication Engineering Discipline, Khulna University, Khulna, 9208, Bangladesh.
Md Abdus SamadDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan-si, Gyeongsangbuk-do, 38541, South Korea. masamad@yu.ac.kr.
Irma Domínguez AzpírozUniversidad Europea del Atlántico, Isabel Torres 21, 39011, Santander, Spain.
Isabel de la Torre DiezDepartment of Signal Theory, Communications and Telematics Engineering, Unviersity of Valladolid, Paseo de Belén, 15, 47011, Valladolid, Spain.
Imran AshrafDepartment of Information and Communication Engineering, Yeungnam University, Gyeongsan-si, Gyeongsangbuk-do, 38541, South Korea. imranashraf@ynu.ac.kr.
Abdullah-Al NahidElectronics and Communication Engineering Discipline, Khulna University, Khulna, 9208, Bangladesh. nahid.ece.ku@gmail.com.
Khulna University · BDYeungnam University · KRIbero-American University Puebla · MXUniversidad de Valladolid · ES

Funding

the European University of Atlantic N/A
6 · The paper itself

Abstract

Pregnancy-associated anemia is a significant health issue that poses negative consequences for both the mother and the developing fetus. This study explores the triggering factors of anemia among pregnant females in India, utilizing data from the Demographic and Health Survey 2019-21. Chi-squared and gamma tests were conducted to find out the relationship between anemia and various socioeconomic and sociodemographic elements. Furthermore, ordinal logistic regression and multinomial logistic regression were used to gain deeper insight into the factors that affect anemia among pregnant women in India. According to these findings, anemia affects about 50% of pregnant women in India. Anemia is significantly associated with various factors such as geographical location, level of education, and wealth index. The results of our study indicate that enhancing education and socioeconomic status may serve as viable approaches for mitigating the prevalence of anemia disease developed in pregnant females in India. Employing both Ordinal and Multinominal logistic regression provides a more comprehensive understanding of the risk factors associated with anemia, enabling the development of targeted interventions to prevent and manage this health condition. This paper aims to enhance the efficacy of anemia prevention and management strategies for pregnant women in India by offering an in-depth understanding of the causative factors of anemia.

Indexed as

AnemiaIron DeficienciesObstetric Labor ComplicationsPuerperal DisordersFemaleHumansIndiaPregnancyPregnant PeopleRisk FactorsSocial ClassSocioeconomic Factors

Identifiers

PMID38129518
PMCPMC10739876
OpenAlexW4390057558

What OpenQuestion 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 OpenQuestion graph.