Showing 3 results for Namdari
H Hatami, H Namdaritabar, M Lotfaliany, S Akbarpour, N Zafari,
Volume 14, Issue 3 (Vol.14, No.3, 2018)
Abstract
Background and Objectives: Hepatitis B virus (HBV) and hepatitis C virus (HCV) co-infections could affect the prognosis of disease in patients with human immunodeficiency virus (HIV)/AIDS. We aimed to determine HBV/HCV co-infection in HIV-positive individuals; and to compare the characteristics of different subgroups of HIV/HBV/HCV.
Methods: In this cross-sectional study, 908 of 2134 newly-registered HIV-positive individuals in the Iranian Ministry of Health in 2016 were recruited. Participants were divided into four subgroups (HBV-/HCV-, HBV+/HCV-, HBV-/HCV+, and HBV+/HCV+). Demographic data and HIV transmission routes were compared between subgroups.
Results: Among908 participants, 505 (60.6%) were HBV-/HCV-, 20 (2.2%) were HBV+/HCV-, 318 (35%) were HBV-/HCV+, and 20 (2.2%) were HBV+/HCV+. Mean age of participants was 36.9 years; 67% were male and 47% were married. The commonest high-risk behaviors were unsafe sex (43.5%) and IV drug-abuse (34.4%). There was no statistically significant difference between the mean ages of subgroups. All HBV+/HCV+ ,92% of HBV-/HCV+, 50% of HBV+/HCV- and 52% of HBV-/HCV- were men and the difference between groups was statistically significant (p-value: <0.001). Seventy four percent of HBV-/HCV+ and 80% of HBV+/HCV+ reported IV drug-abuse. Thirty percent of HBV-/HCV- and 40% of HBV+/HCV- were spouse of HIV-positive or high-risk individuals.
Conclusion: More than 30% of newly registered HIV-positive individuals in the Iranian Ministry of Health in 2016 were co-infected with either HBV or HCV. Frequency of men, marital status and high-risk behaviors were different in various subgroups.
S Dehghani, A Abadi, M Namdari, Z Ghorbani,
Volume 14, Issue 4 (Vol.14, No.4, 2019)
Abstract
Background and Objectives: Periodontal disease is one of the most common oral health problems. Clinical attachment loss occurs in sever periodontal cases (CAL>3). In this study, we applied a classic regression model and the models that consider the hierarchical structure of the data to estimate and compare the effect of different factors on CAL.
Methods: This cross-sectional study was performed in 375 pregnant women and 192 mothers of three-year-old children. The data were gathered from 16 health networks of Shahid Beheshti University of Medical Sciences, Tehran, Iran. CAL was determined for 6 teeth per person by a dentist according to WHO standard oral health examination form. Three-level and ordinary logistic regression analyses were applied for data analysis using the STATA software 14.
Results: Of 3,402 examined teeth, 6.3% had CAL> 3mm. Based on the obtained results, the odds of CAL>3mm were 2.4 in the third semester compared to non-pregnant women. The odds of CAL>3mm were 2.86 in women without daily floss use compared to women with routine daily floss use. Posterior teeth were more likely to have CAL>3m than anterior teeth (OR = 1.65) (P-value < 0.05).
Conclusion: According to the AIC index, multi-level logistic regression model has a better fit than ordinary logistic regression model and can estimate the coefficients of factors related to CAL>3mm more precisely. The use of the ordinary logistic regression model in hierarchical data can result in underestimated standard errors of the estimated parameters.
F Amini, A Abadi, M Namdari, Z Ghorbani, S Azimi,
Volume 16, Issue 2 (Vol 16, No.2 2020)
Abstract
Background and Objectives: Cancer is a complex disease with a lengthy and expensive course of treatment that causes many problems for the community. Knowledge of oral cancer plays an important role in early diagnosis. The aim of this study was to determine the level of knowledge about the symptoms and risk factors of oral cancer and assess the related factors.
Methods: In this study, 671 parents of primary school children were randomly selected from primary schools in four districts of Tehran. The participants were asked to answer questions related to demographic characteristics and knowledge of the risk factors and symptoms of oral cancer. Data analysis was done using Poisson regression model and multi-level Poisson regression model using SPSS and STATA software. The AICI Akaike Information Criterion (AIC) was applied to evaluate the models.
Results: The mean score of knowledge was 3.7 with a standard deviation of 6.7. Among the studied variables, female gender, advanced age, a higher SES score, and a higher welfare index had positive effects on oral cancer knowledge (P <0.05).
Conclusion: The results of this study showed that demographic, social and economic factors of parents were effective on oral cancer. It can be statistically concluded that a multilevel Poisson regression model is more suitable for analyzing this data.
