Prevalence of Gestational Diabetes in Iran: A Systematic Review and Meta-analysis

Bolghanabadi, Nasibeh; Kharaghani, Roghieh; Hosseinkhani, Azadeh; Fayazi, Sedigheh; Mossayebnezhad, Raziyeh

doi:10.52547/pcnm.13.1.35

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…Considering a prevalence of GDM of 10% in the general population (22), power 80%, α = 0.05, the lowest relative risk of 1.36 of blood cell components for GDM [relative risk of platelet quartiles in Ye et al study (8)], and the drop rate of 20%, the sample size calculated at least 560. According to other objectives of the QMNMS primary study, 821 participants recruited in to the study.…”

Section: Sample Size Calculationmentioning

confidence: 99%

Superiority of neutrophil count over other inflammatory markers in predicting gestational diabetes: A prospective cohort study

Hashemipour,

kalantarian,

Panahi

et al. 2024

Preprint

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Background: To investigate the predictive values of blood cell components and blood cells-derived inflammatory indices for predicting gestational diabetes mellitus (GDM). Methods: This study is part of the Qazvin Maternal and Neonatal Metabolic Study (QMNMS) in Iran (2018-2021. The association of blood cells and blood cell-derived inflammatory indices including neutrophil to lymphocyte ratio (NLR), systemic inflammatory response index (SIRI), systemic immune inflammation index (SII), and aggregate systemic inflammatory response index (AISI) in early pregnancy with early insulin resistance and development of GDM in following months was investigated using univariate and multivariate statistical analysis. Results: The final analysis was performed on 612 participants. GDM developed in 96 participants (15,7%). In univariate analysis, neutrophil quartiles had the highest predictive value for GDM development. Lymphocytes and monocytes quartiles were not associated with GDM development. In the fully adjusted model, neutrophil quartiles remained the strongest predictors of GDM development with relative risks of 3.7, 4.2, and 8.3 for 2nd, 3rd, and 4th neutrophil quartiles compared to the first quartile (P<0.001). Other inflammatory indices including NLR, SIRI, SII, and AISI had no additional yield to predict GDM. Despite the strong associate of neutrophil quartiles with GDM, there was no association between neutrophil counts and early pregnancy insulin resistance assessed by Homeostasis of Model Assessment -Insulin Resistance (HOMA-IR). Conclusion: Neutrophil count is the best predictor of GDM development among blood cell components and blood cell-derived inflammatory indices. The role of neutrophils in GDM development is independent of early pregnancy insulin resistance.

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Section: Sample Size Calculationmentioning

confidence: 99%

Superiority of neutrophil count over other inflammatory markers in predicting gestational diabetes: A prospective cohort study

Hashemipour,

kalantarian,

Panahi

et al. 2024

Preprint

View full text Add to dashboard Cite

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“…The highest prevalence of GDM with an average estimate of 38.25 percent was reported in Kuala Lumpur, while Ireland had the lowest prevalence of 2.075 percent [9]. The overall prevalence of GDM in Iran is 10 percent and has increased in recent years, from 4 percent before 2005 to 16 percent in 2016 to 2020 [10].…”

Section: Introductionmentioning

confidence: 99%

Relationship between sexual function and marital satisfaction with quality of life-related gestational diabetes mellitus: a cross-sectional study

Nazarpour,

Simbar,

Kiani

et al. 2024

Preprint

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Background: Sexual dysfunction is a common problem among women with Gestational Diabetes Mellitus (GDM) that may affect the women’s quality of life (QoL). This study aimed to assess the relationship between women’s sexual function and marital satisfaction with GDM-related quality of life and its dimensions. Method: This was a cross-sectional study of 168 women with GDM. The participants were recruited using a multi-stage sampling method from the maternal care centers affiliated with Shahid Beheshti University of Medical Sciences in Tehran-Iran. The data were collected using a socio-demographic questionnaire, the standard GDM-related quality of life questionnaire (GDMQoL-36), the Female Sexual Function Index (FSFI), and the Enrich's Marital Satisfaction questionnaire. The data were analyzed by using SPSS-23 software and statistical tests such as Pearson and Spearman correlation coefficient, t-test, ANOVA, and multiple linear regression. Results: The average women’s age and the gestational age were 31.79±6.64 years and 30.73±6.11 weeks, respectively. The average scores for GDMQoL, FSFI, and marital satisfaction were 55.43±8.67 (ranging 0-100), 19.95±11.43, and 34.45±9.13, respectively. Female Sexual dysfunction (FSD) was observed in 62.5 percent of the participants. The total score of GDMQoL and the “Perceived constraints” dimension had a significant positive correlation with the total score of FSFI and its all domains. There were also significant positive correlations between the total score of GDMQoL with Enrich's marital satisfaction. Furthermore, there was a significant relationship between the total score of GDMQoL with age, weight, duration of marriage, adequacy of monthly income, husband's occupation, and history of GDM. Multiple linear regression revealed that sexual function and marital satisfaction are the potential predictors of GDMQoL. Conclusion: Sexual function and marital satisfaction are related to the GDM-related quality of life of women. Therefore, improving sexual function and marital satisfaction should be considered for improving GDM-related quality of life in health care policies.

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The yield of early-pregnancy homeostasis of model assessment -insulin resistance (HOMA-IR) for predicting gestational diabetes mellitus in different body mass index and age groups

Hashemipour,

Zohal,

Modarresnia

et al. 2023

BMC Pregnancy Childbirth

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Background Early prediction of gestational diabetes mellitus(GDM) can be beneficial for lifestyle modifications to prevent GDM. The aim of this study was to investigate the predictive values of Homeostasis of Model Assessment -Insulin Resistance (HOMA-IR) in early pregnancy to predict GDM development in different body mass index (BMI) and age risk categories. Materials and methods This study is part of the Qazvin Maternal and Neonatal Metabolic Study (QMNMS) in Iran (2018–2021). In this prospective longitudinal study, pregnant women with a gestational age ≤ 14 weeks were enrolled in the study using convenience sampling method and were followed up until delivery to investigate risk factors for maternal and neonatal complications. Data collection was done using questionnaires. Serum sampling was done at a gestational age ≤ 14 weeks and sera were frozen until the end of study. GDM was diagnosed at 24–28 weeks of pregnancy using 75gr oral glucose tolerance test. Fasting blood glucose and insulin were measured in sera taken during early pregnancy in 583 participants. The Mann-Whitney U test, independent t-test, and Chi-square test were used for comparing variables between groups. The logistic regression analysis was used to examine the independent association of HOMA-IR with GDM development and receiver operating characteristic analysis was used for finding the best cut-off of HOMA-IR for predicting GDM. Results GDM was developed in 90 (15.4%) of the participants. The third HOMA-IR tertile was independently associated with 3.2 times higher GDM occurrence (95% CI:1.6–6.2, P = 0.001). Despite the high prevalence of GDM in advanced maternal age (GDM rate = 28.4%), HOMA-IR had no association with GDM occurrence in this high-risk group. In both normal BMI and overweight/obese groups, HOMA-IR was a moderate predictor of GDM development (AUC = 0.638, P = 0.005 and AUC = 0.622, P = 0.008, respectively). However, the best cut-off for predicting GDM was 2.06 (sensitivity 67.5%, specificity 61.1%) in normal BMI and 3.13 (sensitivity 64.6%, specificity61.8%) in overweight/obese BMI. Conclusion The present study revealed the necessity of considering the BMI and age risk groups when using the HOMA-IR index to predict GDM. Using lower cut-offs is more accurate for women with a normal BMI. In the advanced maternal age, there is no yield of HOMA-IR for predicting GDM.

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Prevalence of Gestational Diabetes in Iran: A Systematic Review and Meta-analysis

Cited by 3 publications

References 17 publications

Superiority of neutrophil count over other inflammatory markers in predicting gestational diabetes: A prospective cohort study

Superiority of neutrophil count over other inflammatory markers in predicting gestational diabetes: A prospective cohort study

Relationship between sexual function and marital satisfaction with quality of life-related gestational diabetes mellitus: a cross-sectional study

The yield of early-pregnancy homeostasis of model assessment -insulin resistance (HOMA-IR) for predicting gestational diabetes mellitus in different body mass index and age groups

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