Development and validation of the 'Knowledge of Gestational Diabetes (GDM)' questionnaire among a sample of women with GDM in Australia

Development and validation of gestational diabetes mellitus health literacy scale

OBJECTIVE

While there are various health literacy scales that exist, none of health literacy scale suitable for pregnant women with gestational diabetes mellitus (GDM). To address this gap, this study aimed to develop GDM health literacy scale and evaluate its psychometric properties.

METHODS

Based on the Delphi expert consultation, we developed the initial GDM health literacy scale. Item analysis was taken using a sample (n = 299) recruited in China to form formal scale. Additional participants (n = 395) completed survey to assess the internal consistency reliability, test-retest reliability, content validity, construct validity and criterion correlation validity of scale.

RESULTS

The scale performed well in terms of internal consistency reliability, content validity, construct validity and criterion correlation validity. Test-retest reliability indicated that the instrument was effective at measuring health literacy of GDM over time.

CONCLUSION

The scale is a reliable and valid measure of six domains of health literacy for GDM.

PRACTICE IMPLICATIONS

The scale can be used to effectively evaluate the level of health literacy of pregnant women with GDM. The information can provide targeted health support for pregnant women with GDM to improve their health literacy and self-management ability.

Knowledge, Attitude and Practice of Patients with Gestational Diabetes Mellitus Regarding Gestational Diabetes Mellitus: A Cross-Sectional Study

Introduction

Self-monitoring of blood glucose levels and changes in diet and lifestyle play important roles in the management of gestational diabetes mellitus (GDM).

Methods

This cross-sectional study enrolled patients with GDM at Hangzhou Women's Hospital, China, between September 1, 2022, and October 26, 2022. A questionnaire was designed that included the following dimensions: demographic/clinical information, knowledge, attitude and practice. Correlations between knowledge, attitude and practice scores were evaluated using Spearman correlation analysis. Factors associated with practice score ≥14/16 were identified using multivariate logistic regression.

Results

The analysis included 499 women with GDM and a mean age of 31.22±3.89 years. The average knowledge, attitude and practice score were 11.55±3.04, 34.23±4.06 and 10.7±2.87 points, respectively. Knowledge score was positively correlated with attitude score (r=0.318, P<0.001) and practice score (r=0.351, P<0.001); attitude and practice scores were also positively correlated (r=0.209, P<0.001). Multivariate analysis identified higher knowledge score (odds ratio [OR], 1.138; 95% confidence interval [95% CI], 1.042-1.244; P=0.004) and higher attitude score (OR, 1.137; 95% CI, 1.060-1.219; P<0.001) as independently associated with good practice (ie, practice score ≥14 points).

Conclusion

The results provide important insights into the knowledge, attitudes and practices of women with GDM in China regarding GDM and its management. These findings may facilitate the development and implementation of education and training programs to improve the self-management of GDM by women in China.

Differential gene expression and network-based analyses of the placental transcriptome reveal distinct potential biomarkers for gestationaldiabetes mellitus

AIMS

Gestational diabetes mellitus (GDM) is a common complication during pregnancy affecting the mother and fetus. With the problems encountered with the oral glucose tolerance test (OGTT), we aim to identify potential early biomarkers of GDM.

METHODS

A cross-sectional study was conducted among 80 pregnant women. Blood samples were collected every trimester, and total RNA was isolated. After quality control and library preparation, next-generation sequencing was performed. Differential expression analysis was done. Enriched Gene Ontology: Biological Processes (GO: BP) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were identified. Gene co-expression networks were constructed. Protein-protein Interaction (PPI) networks were then built from modules significantly correlated with Hemoglobin A1c. Genes with the highest degree of interaction were identified as hub genes.

RESULTS

IGKV2D-28 and PTPRG were consistently differentially expressed among the three comparisons. Top enriched GO: BP terms and KEGG pathways are linked to immune responses. Orange (r = 0.59, p = 0.02) and purple modules (r = 0.41, p = 0.02) of the GDM cohorts in the first and second trimesters, respectively, significantly correlated with Hemoglobin A1c. HDAC8 of the orange module and MPO and CRISP3 of the purple module were identified as hub genes.

CONCLUSIONS

In this study, potential biomarkers of GDM were identified, namely, IGKV2D-28, PTPRG, HDAC8, MPO, and CRISP3.