Showing 2 results for Hosseinkhani
Zahra Hosseinkhani, Saharnaz Nedjat, Reza Majdzadeh, Manoochehr Mahram, Ali Aflatooni,
Volume 11, Issue 3 (1-2014)
Abstract
Background and Aim: Child abuse is a social problem that affects the lives of children. The purpose of this study was to design a valid and reliable Persian questionnaire to measure the status of child abuse.
Materials and Methods: Content validity was measured with search of relevant electronic databanks, preparation of the first draft of the questionnaire and determinant of its relevancy and clarity. Reliability was measured with Cronbach’s alpha, and repeatability was measured with intra cluster correlation through test-retest with two weeks interval.
Results: The mean of clarity and relevancy of the tool were 80.36% and 92.5%, respectively, and rang of these two measure were 90.14 - 97.2, also. The average of intra cluster correlation (ICC) and Cronbach’s alpha were 0.95 and 0.92, respectively.
Conclusion: The new tool has acceptable validity and reliability and is suitable for child abuse studies in Iran.
Kourosh Holakouie Naieni, Mohammad Ali Mansournia, Farzad Khodamoradi, Zahra Hosseinkhani, Mehdi Ranjbaran, Zohreh Foroozanfar, Yousef Alimohamadi, Solmaz Farrokhzad,
Volume 16, Issue 2 (9-2018)
Abstract
Background and Aim: Diabetes mellitus is one of the most prevalent and important health problems in the world.Considering the high prevalence of metabolic syndrome in diabetic patients and the potential effects of its components on HbA1C in these patients, the present study was conducted to determine the effect of metabolic syndrome components on HbA1C in type-2 diabetic patients.
Materials and Methods: This retrospective cohort study was conducted on 157 diabetic patients regularly referring to the Diabetes Control Center in Qazvin City during 2014, where complete data about theirmetabolic syndrome components, as well as HbA1C levels were available. The data were analyzed using multiple linear regression (α=0.05 for statistical significance).
Results: Based on the regression model, the effects of age, HDL-C and fasting blood glucose on HbA1C were statistically significant; the effects of other variables were nonsignificant. The R2value for the variables entered for prediction of HbA1C was found to be 0.45 (R2 = 45%).
Conclusion: Considering the significant relationship between some components of the metabolic syndrome such as HDL-C and fasting blood glucose on HbA1C in diabetic patients, it is essential to design and implement programs to reduce the level of HbA1C in these patients.
