Showing 3 results for Argani
Sh Hasanzadeh, H Sadeghi Bazargani , M Hashemiparast, M Asghari Jafarabadi ,
Volume 15, Issue 4 (Vol.15, No.4 2020)
Abstract
Background and Objectives: The aim of this study was to determine the predictability of the PLS-SEM model for injuries resulting in hospitalization in motorcyclists using a mediator variable in a case-control study.
Methods: In this case-control study, 300 cases and 156 controls were randomly selected from 150 clusters using random cluster sampling. The data were collected using the motorcycle riding behavior (MRB) questionnaire, adult attention deficit hyperactivity disorder (ADHD) questionnaire (subscales) and a checklist containing motorcycle related variables.
Results: The motorcycle riding behavior, adult ADHD, motorcycling related variables and some demographic variables were found to be the predictors of injury. There were significant positive relationships between injury and motorcycling related variables (B=0.20, P=0.001) and ADHD (B=0.33, P=0.001), between MRB and motorcycling related variables (B=0.51, P=0.001) and ADHD (B=0.52, P=0.001), and between ADHD and motorcycling related variables (B=0.39, P=0.001).
Conclusion: Considering the more accurate results of PLS-SEM, the intervention programs should especially address those who have hyperactive children, those who use the cellphone while riding, and those who ride in dark hours of the night.
M Javanbakht, M Argani, K Ezimand, A Saghafipour,
Volume 17, Issue 1 (Vol 17,No.1, Spring 2021 2021)
Abstract
Background and Objectives: Environmental conditions in different geographical areas provide a basis for the spread of some diseases. Cutaneous leishmaniasis is a serious threat to public health and is one of the arthropod-borne diseases. The prevalence and distribution of this disease is affected by environmental and climatic factors. The aim of this study was to model the Spatio-temporal variations in the incidence rate of this disease based on environmental and ecological criteria.
Methods: The northeast of Iran was selected as the study area. The data used in this study included vegetation, surface temperature, precipitation, evapotranspiration, soil moisture, digital elevation model and sunny hours. The artificial neural network method was used to model the spatio-temporal changes of cutaneous leishmaniasis.
Results: Spatial variations in the incidence of the disease had a north-south trend and decreased from north to south. In addition, two foci were identified in the medium altitude areas in North and South Khorasan provinces. Temporal variations in the incidence of disease in the study period showed that the incidence rate decreased in the two identified foci from 2011 to 2016.
Conclusion: The modeling results showed that the estimated regression coefficient was 0.92 for neural network based on all three types of data (training, validation, test) indicating good quality of constructed neural network. In addition, sensitivity analysis results showed that sunny hours and soil moisture were the most important factors in the model function.
Ali Jafari-Khounigh, Morteza Haghighi, Alireza Razzaghi, Shahram Habibzadeh, Seyed Taghi Heydari, Rasoul Entezarmahdi, Dr. Alireza Ansari Moghaddam, Hamid Sharifi, Mostafa Farahbakhsh, Mahdi Rezaei, Mina Golestani, Ehsan Sarbazi, Naser Nasiri, Homayoun Sadeghi-Bazargani,
Volume 19, Issue 3 (Vol.19, No.3, Autumn 2023)
Abstract
Background and Objectives: Masks play a crucial role in preventing and controlling viral epidemics transmitted predominantly through the air. This study aimed to develop and validate a tool to measure people’s attitudes and behaviors related to mask usage during highly contagious viral epidemics.
Methods: In this psychometric study, the initial questionnaire was developed and face validity and content validity were assessed by 17 experts and three lay experts. Reliability was evaluated through internal consistency using Cronbach’s alpha and test-retest reliability using the Intraclass Correlation Coefficient (ICC). Construct validity was measured using exploratory factor analysis (EFA) with the principal component extraction method and Varimax rotation.
Results: Based on a review of previous studies, an initial 27-item questionnaire was crafted. During the face validity stage, two items were excluded. Through calculating the Content Validity Ratio (CVR) and the Content Validity Index (CVI), three and one items respectively removed. The average scale level content validity index (S-CVI/Ave) was 0.95. Cronbach's alpha coefficient was found to be 0.76 for attitude and 0.66 for practice sections; the ICC was equal to 0.873. EFA revealed two factors explaining 63.98% of the total variance.
Conclusion: This questionnaire demonstrated sound reliability and validity in Persian, providing an effective means to assess attitude and behavior related to mask usage during highly contagious viral epidemics. It stands as a valuable tool for use in Iran and other countries.
