Comparison of low and normal birth weight infant’s maternal depression residing in rural areas of Aurangabad.

Registration ID: IJNRD_210923

Published ID: IJNRD2312265

DOI: Click Here to Get

Ashwini Sayanna Ibitwar , Dr. Ayushi Jain

Birth Weight, Low birth weight [LBW], Normal Birth Weight [NBW], Maternal Depression, Primigravidae.

Abstract: Introduction: Maternal depression during pregnancy is a significant concern with potential consequences for both maternal and child health. This study aimed to investigate the relationship between birth weight and maternal depression in primigravidae and to assess the statistical significance of any potential association. Methods: In our research, we compared the maternal depression among a group of Primigravidae. Our main goal was to understand how the weight of the babies they delivered could be linked to the mothers' depression. To do this, we collected and thoroughly examined data from a significant number of participants, and we used advanced statistical methods to analyze it. This study contributes valuable insights to the field of maternal health research. Results: Our statistical analysis revealed an exceptionally low p-value of 1.05076 x 10-14, indicating an extremely high level of statistical significance. The exceptionally small p-value firmly dismisses the null hypothesis (Ho), which originally claimed that birth weight has no significant impact on maternal depression. Instead, our results strongly back the alternative hypothesis (Ha), indicating that birth weight, whether it's low or within the normal range, indeed plays a substantial role in maternal depression among first-time pregnant women (Primigravidae) in this research. Conclusion: This study establishes a compelling association between birth weight and maternal depression within the Primigravidae population. Our results highlights the importance of considering birth weight as a crucial factor in understanding and addressing maternal depression in Primigravidae. These findings have significant implications for healthcare professionals and policymakers, emphasizing the need for tailored interventions and support for women at risk of maternal depression based on birth weight considerations.

Published Paper   E-Certificate

Ashwini Sayanna Ibitwar & Dr. Ayushi Jain (December-2023). Comparison of low and normal birth weight infant’s maternal depression residing in rural areas of Aurangabad.. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(12), c601-c605. https://ijnrd.org/papers/IJNRD2312265.pdf

Volume 8 Issue 12, December-2023

Pages : c601-c605

Paper Reg. ID: IJNRD_210923

Published Paper Id: IJNRD2312265

Downloads: 000121978

Research Area: Health Science 

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2312265.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2312265

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details