Journal of Preventive Medicine and Public Health

Kamyar Mansori

3 Articles

Spatio-temporal Distribution of Suicide Risk in Iran: A Bayesian Hierarchical Analysis of Repeated Cross-sectional Data: Seyed Saeed Hashemi Nazari, Kamyar Mansori, Hajar Nazari Kangavari, Ahmad Shojaei, Shahram Arsang-Jang; J Prev Med Public Health. 2022;55(2):164-172. Published online February 10, 2022; DOI: https://doi.org/10.3961/jpmph.21.385

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Objectives
We aimed to estimate the space-time distribution of the risk of suicide mortality in Iran from 2006 to 2016.
Methods
In this repeated cross-sectional study, the age-standardized risk of suicide mortality from 2006 to 2016 was determined. To estimate the cumulative and temporal risk, the Besag, York, and Mollié and Bernardinelli models were used.
Results
The relative risk of suicide mortality was greater than 1 in 43.0% of Iran’s provinces (posterior probability >0.8; range, 0.46 to 3.93). The spatio-temporal model indicated a high risk of suicide in 36.7% of Iran’s provinces. In addition, significant upward temporal trends in suicide risk were observed in the provinces of Tehran, Fars, Kermanshah, and Gilan. A significantly decreasing pattern of risk was observed for men (β, -0.013; 95% credible interval [CrI], -0.010 to -0.007), and a stable pattern of risk was observed for women (β, -0.001; 95% CrI, -0.010 to 0.007). A decreasing pattern of suicide risk was observed for those aged 15-29 years (β, -0.006; 95% CrI, -0.010 to -0.0001) and 30-49 years (β, -0.001; 95% CrI, -0.018 to -0.002). The risk was stable for those aged >50 years.
Conclusions
The highest risk of suicide mortality was observed in Iran’s northwestern provinces and among Kurdish women. Although a low risk of suicide mortality was observed in the provinces of Tehran, Fars, and Gilan, the risk in these provinces is increasing rapidly compared to other regions.

Summary

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Spatial, geographic, and demographic factors associated with adolescent and youth suicide: a systematic review study
Masoud Ghadipasha, Ramin Talaie, Zohreh Mahmoodi, Salah Eddin Karimi, Mehdi Forouzesh, Masoud Morsalpour, Seyed Amirhosein Mahdavi, Seyed Shahram Mousavi, Shayesteh Ashrafiesfahani, Roya Kordrostami, Nahid Dadashzadehasl
Frontiers in Psychiatry.2024;[Epub] CrossRef

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; J Prev Med Public Health. 2018;51(1):33-40. Published online January 2, 2018; DOI: https://doi.org/10.3961/jpmph.17.167

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Abstract PDF

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.

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Spatial analysis of risk factors related to colorectal cancer in Iran: An ecological study
Zahra Montaseri, Hossein Kargar, Mehdi Sharafi, Sima Afrashteh
Health Science Reports.2024;[Epub] CrossRef
Colorectal cancer spatial pattern in the northeast region of São Paulo, Brazil
Adeylson Guimarães Ribeiro, Allini Mafra da Costa, Talita Fernanda Pereira, Denise Peixoto Guimarães, José Humberto Tavares Guerreiro Fregnani
Global Epidemiology.2023; 5: 100097. CrossRef
Impacts of some clinicopathodemography and colorectal tissues key cell cycle and mucin stabilizing molecules on the metastasis trend in colorectal cancer patients
Ali Ghorbani Ranjbary, Jalil Mehrzad, Nasrollah Rahbar, Hesam Dehghani
Molecular Biology Reports.2023; 50(10): 8589. CrossRef
Mapping the prevalence of cancer risk factors at the small area level in Australia
James Hogg, Jessica Cameron, Susanna Cramb, Peter Baade, Kerrie Mengersen
International Journal of Health Geographics.2023;[Epub] CrossRef
Area-Level Determinants in Colorectal Cancer Spatial Clustering Studies: A Systematic Review
Sharifah Saffinas Syed Soffian, Azmawati Mohammed Nawi, Rozita Hod, Huan-Keat Chan, Muhammad Radzi Abu Hassan
International Journal of Environmental Research and Public Health.2021; 18(19): 10486. CrossRef
Favorable colorectal cancer mortality-to-incidence ratios in countries with high expenditures on health and development index
Chi-Chih Wang, Wen-Wei Sung, Pei-Yi Yan, Po-Yun Ko, Ming-Chang Tsai
Medicine.2021; 100(41): e27414. CrossRef
Spatial autocorrelation of breast cancer mortality in the Metropolitan Region, Chile: an ecological study
Doris Durán, María José Monsalves
Medwave.2020; 20(01): e7766. CrossRef
Premature mortality of gastrointestinal cancer in Iran: trends and projections 2001–2030
Fatemeh Khosravi Shadmani, Farshad Farzadfar, Moein Yoosefi, Kamyar Mansori, Reza Khosravi Shadman, Aliakbar Haghdoost
BMC Cancer.2020;[Epub] CrossRef

Avoidable Burden of Risk Factors for Serious Road Traffic Crashes in Iran: A Modeling Study: Fatemeh Khosravi Shadmani, Kamyar Mansori, Manoochehr Karami, Farid Zayeri, Reza Khosravi Shadman, Shiva Mansouri Hanis, Hamid Soori; J Prev Med Public Health. 2017;50(2):83-90. Published online February 6, 2017; DOI: https://doi.org/10.3961/jpmph.16.085

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Abstract PDF

Objectives
The aim of this study was to model the avoidable burden of the risk factors of road traffic crashes in Iran and to prioritize interventions to reduce that burden.
Methods
The prevalence and the effect size of the risk factors were obtained from data documented by the traffic police of Iran in 2013. The effect size was estimated using an ordinal regression model. The potential impact fraction index was applied to calculate the avoidable burden in order to prioritize interventions. This index was calculated for theoretical, plausible, and feasible minimum risk level scenarios. The joint effects of the risk factors were then estimated for all the scenarios.
Results
The highest avoidable burdens in the theoretical, plausible, and feasible minimum risk level scenarios for the non-use of child restraints on urban roads were 52.25, 28.63, and 46.67, respectively. In contrast, the value of this index for speeding was 76.24, 37.00, and 62.23, respectively, for rural roads.
Conclusions
On the basis of the different scenarios considered in this research, we suggest focusing on future interventions to decrease the prevalence of speeding, the non-use of child restraints, the use of cell phones while driving, and helmet disuse, and the laws related to these items should be considered seriously.

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Safe Traffic Behaviors in Adolescents: A Cross-sectional Study Based on the Theory of Planned Behavior
Alireza Shahab Jahanlou, Laleh Hassani, Vahid Ranaei, Ghodratollah Roshanaei, Sonja Forward, Kristin Haglund, Forouzan Rezapur-Shahkolai
Iranian Journal of Psychiatry and Behavioral Sciences.2022;[Epub] CrossRef
Risk Factors of Road Traffic Accidents in Rural and Urban Areas of Indonesia Based on the National Survey of Year 2018
Intan Zainafree, Nadia Syukria, Silfia Addina, Muhamad Zakki Saefurrohim
Nigerian Postgraduate Medical Journal.2022; 29(2): 82. CrossRef

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