Evidence map›Paper›PMID 40740566›Full record

ArticleMedical journal of the Islamic Republic of Iran2025

Factors related to weight gain in pregnancy in Deli Serdang District, North Sumatera, Indonesia.

Nur Mala Sari, Nur Indrawaty Lipoeto, Adang Bachtiar, Ari Adi, Rizanda Machmud, Def Rin, Mud Jiran, Delmi Sulastri

Abstract read
In one paragraph

Article in Medical journal of the Islamic Republic of Iran, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Nur Mala SariFaculty of Medicine, Universitas Andalas, Limau Manis, Padang, Indonesia.
Nur Indrawaty LipoetoFaculty of Medicine, Universitas Andalas, Limau Manis, Padang, Indonesia.ORCID https://orcid.org/0000-0003-4119-3593
Adang BachtiarFaculty of Public Health, Universitas Indonesia, Depok, Indonesia.
Ari AdiFaculty of Medicine, Universitas Andalas, Limau Manis, Padang, Indonesia.
Rizanda MachmudFaculty of Medicine, Universitas Andalas, Limau Manis, Padang, Indonesia.
Def RinFaculty of Medicine, Universitas Andalas, Limau Manis, Padang, Indonesia.
Mud JiranEducational Sciences (Counseling Guidance), Universitas Negeri Padang, Padang, Indonesia.
Delmi SulastriFaculty of Medicine, Universitas Andalas, Limau Manis, Padang, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Appropriate weight gain during pregnancy is crucial for maternal and fetal health. This study aimed to identify factors associated with achieving recommended weight gain among pregnant women in Deli Serdang Regency, North Sumatra, Indonesia. Methods: A cross-sectional study was conducted in 2023 involving 248 pregnant women in the third trimester at five health centers in Deli Serdang Regency, North Sumatra. Data were collected through structured interviews and questionnaires covering demographic factors, knowledge, behavior, and nutritional intake. Weight gain during pregnancy was recommended based on IOM recommendations. Analysis was performed using the Chi-square test and multinomial logistic regression with 95% confidence intervals using SPSS version 26. Results: The study looked at how gestational weight gain was affected by various factors. Significant factors linked to recommended weight gain included energy, protein, fat, and carbohydrate intake, physical activity, knowledge, perception, and family support (all with p-values less than 0.05). However, maternal age, education, job, income, number of previous births, and smoking habits did not significantly affect weight gain. Pregnant women who consumed enough energy (AOR = 0.188, Conclusion: Physical activity is the most influential factor in achieving recommended weight gain; the more active the pregnant woman is, the greater the chance of achieving the appropriate weight.

Indexed as

Family supportKnowledgeNutrition IntakePhysical activityPregnancy weight gain

Identifiers

PMID40740566
PMCPMC12309324

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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.