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Background: Gestational diabetes mellitus (GDM) is one of the most common medical complications of pregnancy. Diagnosis of GDM, that could be unexpected, may cause women to feel negative emotions such as fear, guilt, sadness, and loss of control and experience difficulties adapting to pregnancy. Objective: This study aimed to explore psychosocial adaptation to pregnancy in women with GDM. Methods: This observational cross-sectional study was conducted with women with GDM and healthy pregnant women who applied to the pregnancy and perinatology outpatient clinic of a university hospital. Groups were matched according to age, education level, and gestational week. The Prenatal Self-Evaluation Questionnaire (PSEQ) was used to collect data. Simple linear regression was performed to determine factors influenced psychosocial adaptation to pregnancy using average scores from the PSEQ. Results: Regression analysis indicated, GDM status (beta = −48.8, p ≤ 0.001) and smoking status during pregnancy (beta = 11.0, p = 0.032) influenced the total score of the PSEQ. Conclusions: Nurses are encouraged to develop a multifaceted nursing care model that considers the physical and psychosocial problems and to provide care to increase the psychosocial adaptation of women with GDM to pregnancy. [ABSTRACT FROM AUTHOR]

Purpose: To determine the cardiovascular risk factors according to the Framingham, PROCAM and SCORE models, to evaluate the 10-year cardiovascular disease (CVD) risk factors, and to compare the suitability of different models in Turkish Type 2 diabetes patients. Methods: Risk factors and the 10-year CVD risk in 265 patients were evaluated using three risk models. Measurements included blood pressure, weight, height, waist and hip circumferences. Cholesterol, triglycerides, fasting and postprandial plasma glucose and HbA1c were measured. Low-, moderate- and high-risk groups were determined according to the three risk calculations. Results: Hypertension, obesity and no exercise, dyslipidemia and high HbA1c in women, and excessive cigarette/alcohol consumption, increased weight, dyslipidemia and high HbA1c in men were crucial. Men were in the moderate-risk group according to three risk models. Women were in the medium-risk group according to the Framingham and PROCAM risks and in the low-risk group according to the SCORE. Conclusion: Results estimating the 10-year CVD according to the three risk models were inconsistent. More sensitive CVD risk calculators are needed. Discussion and practice implications: Our results could guide diabetes specialists in identifying gender-specific risks and designing preventive interventions. [ABSTRACT FROM AUTHOR]