1.Exploring neighborhood inequality in female breast cancer incidence in Tehran using Bayesian spatial models and a spatial scan statistic.
Erfan AYUBI ; Mohammad Ali MANSOURNIA ; Ali Ghanbari MOTLAGH ; Alireza MOSAVI-JARRAHI ; Ali HOSSEINI ; Kamran YAZDANI
Epidemiology and Health 2017;39(1):e2017021-
OBJECTIVES: The aim of this study was to explore the spatial pattern of female breast cancer (BC) incidence at the neighborhood level in Tehran, Iran. METHODS: The present study included all registered incident cases of female BC from March 2008 to March 2011. The raw standardized incidence ratio (SIR) of BC for each neighborhood was estimated by comparing observed cases relative to expected cases. The estimated raw SIRs were smoothed by a Besag, York, and Mollie spatial model and the spatial empirical Bayesian method. The purely spatial scan statistic was used to identify spatial clusters. RESULTS: There were 4,175 incident BC cases in the study area from 2008 to 2011, of which 3,080 were successfully geocoded to the neighborhood level. Higher than expected rates of BC were found in neighborhoods located in northern and central Tehran, whereas lower rates appeared in southern areas. The most likely cluster of higher than expected BC incidence involved neighborhoods in districts 3 and 6, with an observed-to-expected ratio of 3.92 (p < 0.001), whereas the most likely cluster of lower than expected rates involved neighborhoods in districts 17, 18, and 19, with an observed-to-expected ratio of 0.05 (p < 0.001). CONCLUSIONS: Neighborhood-level inequality in the incidence of BC exists in Tehran. These findings can serve as a basis for resource allocation and preventive strategies in at-risk areas.
Bayes Theorem
;
Breast Neoplasms*
;
Breast*
;
Female*
;
Health Status Disparities
;
Humans
;
Incidence*
;
Iran
;
Residence Characteristics*
;
Resource Allocation
;
Socioeconomic Factors*
;
Spatial Analysis
2.Exploring neighborhood inequality in female breast cancer incidence in Tehran using Bayesian spatial models and a spatial scan statistic
Erfan AYUBI ; Mohammad Ali MANSOURNIA ; Ali Ghanbari MOTLAGH ; Alireza MOSAVI-JARRAHI ; Ali HOSSEINI ; Kamran YAZDANI
Epidemiology and Health 2017;39(1):2017021-
OBJECTIVES: The aim of this study was to explore the spatial pattern of female breast cancer (BC) incidence at the neighborhood level in Tehran, Iran.METHODS: The present study included all registered incident cases of female BC from March 2008 to March 2011. The raw standardized incidence ratio (SIR) of BC for each neighborhood was estimated by comparing observed cases relative to expected cases. The estimated raw SIRs were smoothed by a Besag, York, and Mollie spatial model and the spatial empirical Bayesian method. The purely spatial scan statistic was used to identify spatial clusters.RESULTS: There were 4,175 incident BC cases in the study area from 2008 to 2011, of which 3,080 were successfully geocoded to the neighborhood level. Higher than expected rates of BC were found in neighborhoods located in northern and central Tehran, whereas lower rates appeared in southern areas. The most likely cluster of higher than expected BC incidence involved neighborhoods in districts 3 and 6, with an observed-to-expected ratio of 3.92 (p < 0.001), whereas the most likely cluster of lower than expected rates involved neighborhoods in districts 17, 18, and 19, with an observed-to-expected ratio of 0.05 (p < 0.001).CONCLUSIONS: Neighborhood-level inequality in the incidence of BC exists in Tehran. These findings can serve as a basis for resource allocation and preventive strategies in at-risk areas.
Bayes Theorem
;
Breast Neoplasms
;
Breast
;
Female
;
Health Status Disparities
;
Humans
;
Incidence
;
Iran
;
Residence Characteristics
;
Resource Allocation
;
Socioeconomic Factors
;
Spatial Analysis
3.Effects of Atorvastatin in Patients with Acute Spinal Cord Injury.
Javad AGHAZADEH ; Parviz SAMADI MOTLAGH ; Firooz SALEHPOUR ; Ali MESHKINI ; Majid FATEHI ; Farhad MIRZAEI ; Seyed Ahmad NASERI ALAVI
Asian Spine Journal 2017;11(6):903-907
STUDY DESIGN: Clinical trial study. PURPOSE: The aim of this study was to evaluate the effect of atorvastatin on sensory and motor function in patients with acute spinal cord injury. OVERVIEW OF LITERATURE: The prevalence and incidence of traumatic spinal cord injury are increasing. Statins are well established for use in hypercholesterolemia as well as during anti-inflammatory events. METHODS: This clinical trial study included 60 patients with acute spinal cord injury. These were randomly divided into two groups: the case group which received atorvastatin and also underwent surgical therapy and the control group which only underwent surgical therapy. RESULTS: The severity of spinal cord lesions was evaluated based on the Frankel grade at three periods; this showed no significant difference between the two groups. Comparisons of the levels of pain between the groups based on a Visual Analog Scale system showed no significant difference at the three periods. CONCLUSIONS: We observed no improvement at the 3- and 6-month follow-up in patients who were administered atorvastatin. However, a comparison of the two groups based on pain severity demonstrated a significant difference, suggesting that atorvastatin had a positive effect on patients with spinal cord injury.
Atorvastatin Calcium*
;
Follow-Up Studies
;
Humans
;
Hydroxymethylglutaryl-CoA Reductase Inhibitors
;
Hypercholesterolemia
;
Incidence
;
Prevalence
;
Spinal Cord Injuries*
;
Spinal Cord*
;
Visual Analog Scale
4.Spatial Inequalities in the Incidence of Colorectal Cancer and Associated Factors in the Neighborhoods of Tehran, Iran: Bayesian Spatial Models
Kamyar MANSORI ; Masoud SOLAYMANI-DODARAN ; Alireza MOSAVI-JARRAHI ; Ali Ganbary MOTLAGH ; Masoud SALEHI ; Alireza DELAVARI ; Mohsen ASADI-LARI
Journal of Preventive Medicine and Public Health 2018;51(1):33-40
OBJECTIVES:
The aim of this study was to determine the factors associated with the spatial distribution of the incidence of colorectal cancer (CRC) in the neighborhoods of Tehran, Iran using Bayesian spatial models.
METHODS:
This ecological study was implemented in Tehran on the neighborhood level. Socioeconomic variables, risk factors, and health costs were extracted from the Equity Assessment Study conducted in Tehran. The data on CRC incidence were extracted from the Iranian population-based cancer registry. The Besag-York-Mollié (BYM) model was used to identify factors associated with the spatial distribution of CRC incidence. The software programs OpenBUGS version 3.2.3, ArcGIS 10.3, and GeoDa were used for the analysis.
RESULTS:
The Moran index was statistically significant for all the variables studied (p < 0.05). The BYM model showed that having a women head of household (median standardized incidence ratio [SIR], 1.63; 95% confidence interval [CI], 1.06 to 2.53), living in a rental house (median SIR, 0.82; 95% CI, 0.71 to 0.96), not consuming milk daily (median SIR, 0.71; 95% CI, 0.55 to 0.94) and having greater household health expenditures (median SIR, 1.34; 95% CI, 1.06 to 1.68) were associated with a statistically significant elevation in the SIR of CRC. The median (interquartile range) and mean (standard deviation) values of the SIR of CRC, with the inclusion of all the variables studied in the model, were 0.57 (1.01) and 1.05 (1.31), respectively.
CONCLUSIONS
Inequality was found in the spatial distribution of CRC incidence in Tehran on the neighborhood level. Paying attention to this inequality and the factors associated with it may be useful for resource allocation and developing preventive strategies in atrisk areas.
5.Spatial Inequalities in the Incidence of Colorectal Cancer and Associated Factors in the Neighborhoods of Tehran, Iran: Bayesian Spatial Models
Kamyar MANSORI ; Masoud SOLAYMANI-DODARAN ; Alireza MOSAVI-JARRAHI ; Ali Ganbary MOTLAGH ; Masoud SALEHI ; Alireza DELAVARI ; Mohsen ASADI-LARI
Korean Journal of Preventive Medicine 2018;51(1):33-40
OBJECTIVES: The aim of this study was to determine the factors associated with the spatial distribution of the incidence of colorectal cancer (CRC) in the neighborhoods of Tehran, Iran using Bayesian spatial models. METHODS: This ecological study was implemented in Tehran on the neighborhood level. Socioeconomic variables, risk factors, and health costs were extracted from the Equity Assessment Study conducted in Tehran. The data on CRC incidence were extracted from the Iranian population-based cancer registry. The Besag-York-Mollié (BYM) model was used to identify factors associated with the spatial distribution of CRC incidence. The software programs OpenBUGS version 3.2.3, ArcGIS 10.3, and GeoDa were used for the analysis. RESULTS: The Moran index was statistically significant for all the variables studied (p < 0.05). The BYM model showed that having a women head of household (median standardized incidence ratio [SIR], 1.63; 95% confidence interval [CI], 1.06 to 2.53), living in a rental house (median SIR, 0.82; 95% CI, 0.71 to 0.96), not consuming milk daily (median SIR, 0.71; 95% CI, 0.55 to 0.94) and having greater household health expenditures (median SIR, 1.34; 95% CI, 1.06 to 1.68) were associated with a statistically significant elevation in the SIR of CRC. The median (interquartile range) and mean (standard deviation) values of the SIR of CRC, with the inclusion of all the variables studied in the model, were 0.57 (1.01) and 1.05 (1.31), respectively. CONCLUSIONS: Inequality was found in the spatial distribution of CRC incidence in Tehran on the neighborhood level. Paying attention to this inequality and the factors associated with it may be useful for resource allocation and developing preventive strategies in atrisk areas.
Colorectal Neoplasms
;
Family Characteristics
;
Female
;
Health Care Costs
;
Health Expenditures
;
Humans
;
Incidence
;
Iran
;
Milk
;
Residence Characteristics
;
Resource Allocation
;
Risk Factors
;
Socioeconomic Factors
6.Trends in gastrointestinal cancer incidence in Iran, 2001-2010: a joinpoint analysis.
Mehdi DARABI ; Mohsen ASADI LARI ; Seyed Abbas MOTEVALIAN ; Ali MOTLAGH ; Shahram ARSANG-JANG ; Maryam KARIMI JABERI
Epidemiology and Health 2016;38(1):e2016056-
OBJECTIVES: The main purpose of this study was to evaluate changes in the time trends of stomach, colorectal, and esophageal cancer during the past decade in Iran. METHODS: Cancer incidence data for the years 2001 to 2010 were obtained from the cancer registration of the Ministry of Health. All incidence rates were directly age-standardized to the world standard population. In order to identified significant changes in time trends, we performed a joinpoint analysis. The annual percent change (APC) for each segment of the trends was then calculated. RESULTS: The incidence of stomach cancer increased from 4.18 and 2.41 per 100,000 population in men and women, respectively, in 2001 to 17.06 (APC, 16.7%) and 8.85 (APC, 16.2%) per 100,000 population in 2010 for men and women, respectively. The corresponding values for colorectal cancer were 2.12 and 2.00 per 100,000 population for men and women, respectively, in 2001 and 11.28 (APC, 20.0%) and 10.33 (APC, 20.0%) per 100,000 in 2010. For esophageal cancer, the corresponding increase was from 3.25 and 2.10 per 100,000 population in 2001 to 5.57 (APC, 12.0%) and 5.62 (APC, 11.2%) per 100,000 population among men and women, respectively. The incidence increased most rapidly for stomach cancer in men and women aged 80 years and older (APC, 23.7% for men; APC, 18.6% for women), for colorectal cancer in men aged 60 to 69 years (APC, 24.2%) and in women aged 50 to 59 years (APC, 25.1%), and for esophageal cancer in men and women aged 80 years and older (APC, 17.5% for men; APC,15.3% for women) over the period of the study. CONCLUSIONS: The incidence of gastrointestinal cancer significantly increased during the past decade. Therefore, monitoring the trends of cancer incidence can assist efforts for cancer prevention and control.
Colorectal Neoplasms
;
Esophageal Neoplasms
;
Female
;
Gastrointestinal Neoplasms*
;
Humans
;
Incidence*
;
Iran*
;
Male
;
Stomach
;
Stomach Neoplasms