Evidence map›Paper›PMID 40251509›Full record

ArticleBMC endocrine disorders2025

Validation of the Persian version of the summary of diabetes self-care activities scale (SDSCA) in pregnant women with gestational diabetes mellitus using a COSMIN methodology.

Mahsa Maghalian, Mohammad Asghari Jafarabadi, Fatemeh Abbasalizadeh, Sakineh Mohammad-Alizadeh-Charandabi, Solmaz Ghanbari-Homaie, Mojgan Mirghafourvand

Abstract readValidation Study
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Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Mahsa MaghalianDepartment of Midwifery, Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran.
Mohammad Asghari JafarabadiCabrini Research, Cabrini Health, Melbourne, VIC, 3144, Australia.
Fatemeh AbbasalizadehWomen's Reproductive Health Research Center, Department of Perinatology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Sakineh Mohammad-Alizadeh-CharandabiDepartment of Midwifery, Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran.
Solmaz Ghanbari-HomaieDepartment of Midwifery, Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran.
Mojgan MirghafourvandSocial determinants of Health Research Center, Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran. mirghafourvand@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGestational diabetes mellitus (GDM) is a condition with significant prenatal and postnatal implications. This study aimed to validate the Summary of Diabetes Self-Care Activities (SDSCA) measure in Iranian women with GDM, focusing on its psychometric properties.

methodsThe Persian version of the SDSCA was evaluated in 180 Iranian women with GDM. Following COSMIN guidelines, the instrument was translated into Persian, and its psychometric properties were assessed, including content validity, face validity, construct validity, internal consistency, test-retest reliability, measurement error, responsiveness, and interpretability. Floor and ceiling effects were also examined.

resultsThe validity assessments showed strong content validity, with a Content Validity Index (CVI) of 0.93 and a Content Validity Ratio (CVR) of 0.97. Face validity yielded an impact score of 4.38. Exploratory factor analysis (EFA) identified three factors-diet, exercise, and blood sugar testing-accounting for 57.4% of the variance. Confirmatory factor analysis (CFA) confirmed the model's excellent fit (CFI = 1.00, TLI = 0.99, NFI = 0.98, RFI = 0.96). The reliability analysis showed a Cronbach's alpha of 0.78 and a McDonald's omega of 0.91, with an intraclass correlation coefficient (ICC) of 0.92 (95% CI: 0.83-0.96). Ceiling effects were observed for blood sugar testing (26.7%), while floor effects were noted for exercise (6.7%) and blood sugar testing (6.1%). The Minimal Important Change (MIC) of 2.68 units exceeded the Smallest Detectable Change (SDC) of 1.11 units, indicating the tool's ability to detect clinically meaningful changes.

conclusionsThe Persian version of the SDSCA demonstrates strong psychometric properties, including both reliability and validity, making it a suitable tool for assessing self-care behaviors in Iranian women with GDM. Its use in future research can enhance understanding of self-management in this population.

Indexed as

Diabetes, GestationalPsychometricsSelf CareAdultExerciseFemaleHumansIranPregnancyReproducibility of ResultsSurveys and QuestionnairesYoung AdultCross-Sectional studiesDiabetesGestationalIranPregnancyPsychometricsSelf care

Identifiers

PMID40251509
PMCPMC12007123

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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.