<p><em>Knowledge of reproductive health is not only important for a midwife or general practitioners to have, but it is also very important for every woman as a young woman or a wife or as a mother or prospective mother of her children for the sake of health in order to achieve women's welfare. Reproductive health is a healthy condition in all organ systems, functions and reproductive processes. The aim of this service to educate on women's reproductive health is to provide knowledge in order to behave correctly and accurately regarding the reproductive health of each woman. The method of implementing this activity is through educational outreach by a team of D3 Midwifery lecturers, as paramedics and doctors as a medical team, as well and midwifery students, with written materials and applicative videos. The results of the activity were followed by 105 women who are part of the routine recitation activities of mothers, 50 women of productive age divided into 40 reproductive ages, 4 early adolescents, 6 late adolescents, and also 55 elderly women. Questionnaires were given after the activity, 60 women had good knowledge, 25 women had moderate knowledge and 15 women had poor knowledge about women's reproductive health, the rest did not fill out the questionnaire because of the 5 women over 70 years old. In conclusion, there are still some women who do not understand about maintaining their reproductive health, so this educational activity needs to be carried out periodically.</em></p>
BACKGROUND: Stroke is second leading cause of death worldwide. Chronic hyperglycemia can promote neuronal toxicity. The previous study shows that acute hyperglycemia is correlated with infarct volume of ischemic stroke. AIM: This study aims to investigate the correlation between hemoglobin A1C (HbA1C) and infarct volume on acute ischemic stroke. METHODS: This is a cross-sectional study in acute ischemic stroke patient in Dr. Moewardi General Hospital, Surakarta, Indonesia. Data of infarct volume were collected from head computed tomography (CT)-scan and calculated with A × B × C/2 formula. We also collected lipid and patients’ glycemic profile from patients’ blood laboratory result. Head CT-scan and laboratory data of participants analyzed with Pearson and Spearman’s rho test for parametric and non-parametric data, respectively. We also performed multivariate analysis to evaluate confounding covariates. p < 0.05 was considered as statistically significant. RESULTS: A total of 38 participants were included in this study, with mean infarct volume was 0.46 ± 0.64cc and mean HbA1C was 6.96 ± 2.69%. Bivariate analysis shows strong positive correlation between infarct volume and HbA1C with r = 0.898 (p < 0.001). Other variable that showed a significant correlation with infarct volume were diabetes mellitus history (r = 0.671; p < 0.001), random blood su gar (r = 0.466; p = 0.003), fasting blood sugar (r = 0.636; p < 0.001), 2-h postprandial glucose level (r = 0.646; p ≤ 0.001), high density lipoprotein (r = −0.354; p = 0.029), and triglyceride (r = 0.429; p = 0.007). Based on multivariate analysis, HbA1C regression coefficient on infarct volume was B = 0.222 (p < 0.001), indicating that HbA1C as one of the variables contributing to volume of infarct. CONCLUSIONS: There is a strong positive correlation between infarct volume and HbA1C, and HbA1C is variable contribute to the volume of infarct.
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