Evidence map›Paper›PMID 38665449›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Prevalence and Determinants of Low Birth Weight among the Newborns in Dadra and Nagar Haveli: A Community-based Study.

Sunil Jangid, Pooja Chauhan, Vaibhav Mehta, Mitali Patel, Darshan Mahyavanshi, Vatte Katte Das

Open access · goldAbstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Sunil JangidDepartment of Community Medicine, Assistant Professor, NAMO Medical Education and Research Institute, Sayli Road, Silvassa, UT of DNH and DD, India.
Pooja ChauhanDepartment of Community Medicine, Assistant Professor, NAMO Medical Education and Research Institute, Sayli Road, Silvassa, UT of DNH and DD, India.
Vaibhav MehtaDepartment of Community Medicine, Assistant Professor, NAMO Medical Education and Research Institute, Sayli Road, Silvassa, UT of DNH and DD, India.
Mitali PatelDepartment of Community Medicine, Associate Professor, NAMO Medical Education and Research Institute, Sayli Road, Silvassa, UT of DNH and DD, India.
Darshan MahyavanshiDepartment of Community Medicine, Professor and Head, NAMO Medical Education and Research Institute, Sayli Road, Silvassa, UT of DNH and DD, India.
Vatte Katte DasDirectorate of Medical and Health Services, Office of the DMHS, Shri Vinoba Bhave Civil Hospital, Silvassa, UT of DNH and DD, India.
Education and Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The world is not on track to meet the World Health Assembly (WHA) global target on Low Birth Weight (LBW). To estimate the prevalence and to identify the associated determinants of LBW among the newborns. Material and Methods: We conducted a cross-sectional study among the 364 mothers registered under the all government health facilities of Dadra & Nagar Haveli (DNH) during November 2021 to January 2022. Results: The prevalence of LBW was found to be 39%. On uni-variable logistic regression, live in relationship, caste, weight of mother, Body Mass Index (BMI), weight gain <5 kg in 2nd and 3rd trimester, high-risk pregnancy, complication present in previous pregnancy and preterm delivery, while on multi-variable logistic regression, weight gain <5 kg in 2nd and 3rd trimester (AOR 2, 95% CI 1.007-4.2) and having high-risk pregnancy (AOR 2, 95% CI 1.1-3.0) were found to be the significant predictors of LBW among the newborns. Conclusions: We conclude from the study that the prevalence of low birth weight among the newborn was high. There is a need to address maternal and child health issues like low birth weight, malnutrition and high-risk pregnancy under the RMNCAH+N program through various effective interventions. Future research should evaluate the feasibility of collaborative activities between RMNCAH+N program and the UNICEF in India.

Indexed as

Indialogistic modelslow birth weightmothernewbornsurveys and questionnaires

Identifiers

PMID38665449
PMCPMC11042122
OpenAlexW4392606174

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.