Kerman University of Medical Sciences
1. Estimating the Visibility Rate of Alcohol Consumption: A Case Study in Shiraz, Iran

Mohammad Reza Baneshi; Farzaneh Zolala; Maryam Zamanian; Nooshin Zarei; Mohammad Reza Heydari

Volume 12, Issue 1 , Winter 2020, , Pages 18-24

Abstract
  Background: Network Scale Up (NSU) is applied in many settings to estimate the size of hidden populations.The visibility of alcohol consumption - as a hidden behavior - in Iran has not been yet set. Our aim is to estimatethe visibility factor (VF) of alcohol consumption in Iran which is an Islamic country ...  Read More

2. Correlates of Alcohol Consumption and Drug Injection among Homeless Youth: A Case Study in the Southeast of Iran

Abolfazl Hosseinnataj; Abbas Bahrampour; Mohammad Reza Baneshi; Samira Poormorovat; Glayol Ardalan; Farzaneh Zolala; Naser Nasiri; Jasem Zarei; Ghazal Mousavian; Abedin Iranpour; Hamid Sharifi

Volume 11, Issue 4 , Autumn 2019, , Pages 207-215

Abstract
  Background: Alcohol use and drug injection are prevalent among homeless youths. The aim of this study wasto identify the associated factors of alcohol consumption and drug injection among homeless youths aged18-29 years.Methods: Data on 202 homeless youths (111 males and 91 females) were collected using ...  Read More

3. Twelve-hour before Driving Prevalence of Alcohol and Drug Use among Heavy Vehicle Drivers in South East of Iran Using Network Scale Up

Milad Ahmadi-Gohari; Farzaneh Zolala; Abedin Iranpour; Mohammad Reza Baneshi

Volume 11, Issue 4 , Autumn 2019, , Pages 256-261

Abstract
  Background: Heavy vehicle drivers spend a great deal of time away from their families. This issue and other difficulties around their job may increase risky behaviors among them. The current study aims to investigate the prevalence of opium drugs, stimulants, cannabis, and alcohol use 12 hours before ...  Read More

4. Pattern of Alcohol Consumption among Men Consumers in Kerman, Iran, in 2014

Saeed Samadi; Mohammad Reza Baneshi; Ali Akbar Haghdoost

Volume 9, Issue 3 , Autumn 2017, , Pages 139-145

Abstract
  Background: Alcohol consumption is a potential risk factor with acute and chronic health consequences and social impacts, which is more prominent among men. There is no precise statistics on the scope of alcohol consumption in Iran; however, there is some evidences showing an increasing trend, particularly ...  Read More

5. Estimating the Size and Age-gender Distribution of Women’s Active Social Networks

Maryam Zamanian; Mohammad Reza Baneshi; Ali Akbar Haghdoost; Tayebeh Mokhtari-Sorkhani; Fatemeh Amiri; Farzaneh Zolala

Volume 8, Issue 3 , Autumn 2016, , Pages 170-178

Abstract
  Background: Network Scale-up (NSU) method is an indirect method for the estimation of hidden behaviors. In NSU, respondents are asked about the number of members they know from a subpopulation of interest (e.g., injecting drug user) and assume that the prevalence of risky behavior in the networks of ...  Read More

6. Analysis of Gap in Service Quality in Drug Addiction Treatment Centers of ‎Kerman, Iran, Using SERVQUAL Model

Mohammad Reza Naqavi; Raheleh Refaiee; Mohammad Reza Baneshi; Nouzar Nakhaee

Volume 6, 3-4 , Summer 2014, , Pages 85-92

Abstract
  Background: Treatment of drug addicts is one of the main strategies of drug control in Iran. Client satisfaction strongly influences the success of any treatment program. This study aimed to explore the difference between customer expectations and perceptions in drug addiction treatment centers of Kerman, ...  Read More

7. Drug Use among Residents of Juvenile Correctional Center in Kerman, Iran, and its Relationship with Personality Dimensions and Self-concept

Amin Gousheh; Hassan Ziaaddini; Mohammad Reza Baneshi; Nouzar Nakhaee

Volume 6, 1-2 , Winter 2014, , Pages 22-29

Abstract
  Background: Identifying the status of substance misuse and its psychosocial correlates among residents of juvenile correctional centers, as a high risk group, could potentially illuminate the roadmap to prevention of drug use in this group. Methods: In this cross-sectional study, 93 individuals aged ...  Read More

8. Selection of Variables that Influence Drug Injection in Prison: Comparison of Methods with Multiple Imputed Data Sets

Saiedeh Haji-Maghsoudi; Ali Akbar Haghdoost; Mohammad Reza Baneshi

Volume 6, 1-2 , Winter 2014, , Pages 36-44

Abstract
  Background: Prisoners, compared to the general population, are at greater risk of infection. Drug injection is the main route of HIV transmission, in particular in Iran. What would be of interest is to determine variables that govern drug injection among prisoners. However, one of the issues that challenge ...  Read More

9. Factors Influencing Drug Injection History among Prisoners: A Comparison between Classification and Regression Trees and Logistic Regression Analysis

Azam Rastegari; Ali Akbar Haghdoost; Mohammad Reza Baneshi

Volume 5, 1-2 , Winter 2013, , Pages 7-15

Abstract
  Background: Due to the importance of medical studies, researchers of this field should be familiar with various types of statistical analyses to select the most appropriate method based on the characteristics of their data sets. Classification and regression trees (CARTs) can be as complementary to regression ...  Read More

10. A Comparison between APGAR Scores and Birth Weight in Infants of Addicted and Non-Addicted Mothers

Esmat Rahi; Mohammad Reza Baneshi; Ehsan Mirkamandar; Saiedeh Haji Maghsoudi; Azam Rastegari

Volume 3, 1-2 , Winter 2011

Abstract
  Background: Addiction in pregnant women causes complications such as abortion, asphyxia and cerebral and physical problems. APGAR score assesses vital signs and birth weight and represents the physical and brain growth of newborns. In this study, the effects of opium addiction in mothers on birth weight ...  Read More

11. Estimation of the Active Network Size of Kermanian Males

Mostafa Shokoohi; Mohammad Reza Baneshi; Ali Akbar Haghdoost

Volume 2, 3-4 , Spring 2010

Abstract
  Background: Estimation of the size of hidden and hard-to-reach sub-populations, such as drug-abusers, is a very important but difficult task. Network scale up (NSU) is one of the indirect size estimation techniques, which relies on the frequency of people belonging to a sub-population of interest among ...  Read More