Evidence map›Paper›PMID 40611222›Full record

ArticleBMC women's health2025

Association of intermediate health determinants with gestational diabetes self-care: a structural equation modeling approach.

Fatemeh Vakili, Zohreh Mahmoodi, Malihe Nasiri, Saiedeh Hanieh Alamolhoda, Zeinab Hamzehgardeshi, Vajiheh Arabshahi Hoseinabadi

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Article in BMC women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Fatemeh VakiliSchool of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Zohreh MahmoodiSocial Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran.
Malihe NasiriDepartment of Basic sciences, Faculty of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Saiedeh Hanieh AlamolhodaMidwifery and Reproductive Health Research Center, Department of Midwifery and Reproductive Health, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran. alamolhoda.h@yahoo.com.
Zeinab HamzehgardeshiDepartment of Reproductive Health and Midwifery, Sexual and Reproductive Health Research Center, School of Nursing and Midwifery, Mazandaran University of Medical Sciences, Sari, Iran. hamzehgardeshi@yahoo.com.
Vajiheh Arabshahi HoseinabadiFood Security Research Centre, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

Shahid Beheshti University of Medical Sciences 1402.06
6 · The paper itself

Abstract

introductionGestational diabetes is a common problem among pregnant women that can lead to many complications for the mothers and their fetuses. Gestational diabetes self-care can reduce the consequences and outcomes of this disease. Some of the factors related to self-care of gestational diabetes are quality of life, social support, and domestic violence. This study aims to investigate the relationship between quality of life, perceived social support, and domestic violence with gestational diabetes self-care using structural equation modeling.

methodThis cross-sectional study was conducted on 400 pregnant women with gestational diabetes from April 22, 2023, to July 6, 2023, in Tehran using convenience sampling. Data were collected using demographics, domestic violence, perceived social support, quality of life, and gestational diabetes self-care questionnaires. After data collection, data analysis was performed using SPSS-21 and Lisrel-8 software.

resultsAccording to the results obtained from structural equation modeling, among the variables that were related to gestational diabetes self-care, quality of life (B = 0.86) in the direct path and perceived social support (B = 0.48) in the indirect path had the highest positive relationship with gestational diabetes self-care. Domestic violence was the only variable that had no relationship with gestational diabetes self-care in any of the paths.

conclusionAccording to the path analysis, gestational diabetes self-care is directly influenced by perceived quality of life but perceived social support is indirectly positively related to the impact on quality of life with gestational diabetes self-care. Therefore, it is recommended that actions and strategies be adopted to improve the quality of life and increase perceived social support in this vulnerable group.

Indexed as

Diabetes, GestationalDomestic ViolenceQuality of LifeSelf CareSocial SupportAdultCross-Sectional StudiesFemaleHumansIranLatent Class AnalysisPregnancySurveys and QuestionnairesYoung AdultDomestic violenceGestational diabetesQuality of lifeSocial support

Identifiers

PMID40611222
PMCPMC12225482

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.