Epidemiology of Chronic Pain in Tehran; Small Area Estimation of its Prevalence in Tehran Neighborhoods by Bayesian Approach (Urban HEART-2 study)

Background & Objectives: Chronic pain is one of main public and individual health problems and its epidemiological understanding needs reliable estimates of prevalence. The aim of this study was to investigate the epidemiology of chronic pain in all 368 neighborhoods of Tehran using small area e...

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Main Authors: F Mohammadzadeh, S Faghihzadeh, AR Baghestani, M Asadi Lari, MR Vaez Mahdavi, J Arab Kheradmand, AA Noorbala, MM Golmakani, AA Haeri Mahrizi, R Kordi
Format: Article
Language:fas
Published: Tehran University of Medical Sciences 2013-05-01
Series:مجله اپیدمیولوژی ایران
Subjects:
Online Access:http://irje.tums.ac.ir/browse.php?a_code=A-10-25-5020&slc_lang=en&sid=1
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author F Mohammadzadeh
S Faghihzadeh
AR Baghestani
M Asadi Lari
MR Vaez Mahdavi
J Arab Kheradmand
AA Noorbala
MM Golmakani
AA Haeri Mahrizi
R Kordi
author_facet F Mohammadzadeh
S Faghihzadeh
AR Baghestani
M Asadi Lari
MR Vaez Mahdavi
J Arab Kheradmand
AA Noorbala
MM Golmakani
AA Haeri Mahrizi
R Kordi
author_sort F Mohammadzadeh
collection DOAJ
description Background & Objectives: Chronic pain is one of main public and individual health problems and its epidemiological understanding needs reliable estimates of prevalence. The aim of this study was to investigate the epidemiology of chronic pain in all 368 neighborhoods of Tehran using small area estimation method. Methods: The pain section from the second round of Urban HEART data from a selected individual of 23457 households in Tehran using a multistage randomized cluster sampling in 2011, were analyzed. In order to obtain reliable estimates for chronic pain prevalence at neighborhood level, a generalized linear mixed model and hierarchical Bayesian approach were used and the reliability of the estimates were evaluated. Results: The average of estimated prevalence of chronic pain in neighborhoods of Tehran was 25.5% and a large heterogeneity was observed in its prevalence in neighborhoods of Tehran. Prevalence of chronic pain was significantly higher in married housewives, retirees and pensioners and was significantly associated with age, educational status, depression and anxiety (P<0.05). The reliability of Bayesian method was confirmed by evaluation methods in this analysis. Conclusion: These results demonstrate prevailing amount of chronic pain at neighborhood-level in Tehran, which warrants careful attention to prevention, treatment, and rehabilitation by health care professionals.
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spelling doaj.art-aa00c56a651b403b9f281021a647ffb02022-12-22T04:07:43ZfasTehran University of Medical Sciencesمجله اپیدمیولوژی ایران1735-74892228-75072013-05-01911931Epidemiology of Chronic Pain in Tehran; Small Area Estimation of its Prevalence in Tehran Neighborhoods by Bayesian Approach (Urban HEART-2 study)F Mohammadzadeh0S Faghihzadeh1AR Baghestani2M Asadi Lari 3MR Vaez Mahdavi4J Arab Kheradmand 5AA Noorbala6MM Golmakani7AA Haeri Mahrizi 8R Kordi9 Background & Objectives: Chronic pain is one of main public and individual health problems and its epidemiological understanding needs reliable estimates of prevalence. The aim of this study was to investigate the epidemiology of chronic pain in all 368 neighborhoods of Tehran using small area estimation method. Methods: The pain section from the second round of Urban HEART data from a selected individual of 23457 households in Tehran using a multistage randomized cluster sampling in 2011, were analyzed. In order to obtain reliable estimates for chronic pain prevalence at neighborhood level, a generalized linear mixed model and hierarchical Bayesian approach were used and the reliability of the estimates were evaluated. Results: The average of estimated prevalence of chronic pain in neighborhoods of Tehran was 25.5% and a large heterogeneity was observed in its prevalence in neighborhoods of Tehran. Prevalence of chronic pain was significantly higher in married housewives, retirees and pensioners and was significantly associated with age, educational status, depression and anxiety (P<0.05). The reliability of Bayesian method was confirmed by evaluation methods in this analysis. Conclusion: These results demonstrate prevailing amount of chronic pain at neighborhood-level in Tehran, which warrants careful attention to prevention, treatment, and rehabilitation by health care professionals.http://irje.tums.ac.ir/browse.php?a_code=A-10-25-5020&slc_lang=en&sid=1Chronic pain Epidemiology Small area estimation Hierarchical Bayes
spellingShingle F Mohammadzadeh
S Faghihzadeh
AR Baghestani
M Asadi Lari
MR Vaez Mahdavi
J Arab Kheradmand
AA Noorbala
MM Golmakani
AA Haeri Mahrizi
R Kordi
Epidemiology of Chronic Pain in Tehran; Small Area Estimation of its Prevalence in Tehran Neighborhoods by Bayesian Approach (Urban HEART-2 study)
مجله اپیدمیولوژی ایران
Chronic pain
Epidemiology
Small area estimation
Hierarchical Bayes
title Epidemiology of Chronic Pain in Tehran; Small Area Estimation of its Prevalence in Tehran Neighborhoods by Bayesian Approach (Urban HEART-2 study)
title_full Epidemiology of Chronic Pain in Tehran; Small Area Estimation of its Prevalence in Tehran Neighborhoods by Bayesian Approach (Urban HEART-2 study)
title_fullStr Epidemiology of Chronic Pain in Tehran; Small Area Estimation of its Prevalence in Tehran Neighborhoods by Bayesian Approach (Urban HEART-2 study)
title_full_unstemmed Epidemiology of Chronic Pain in Tehran; Small Area Estimation of its Prevalence in Tehran Neighborhoods by Bayesian Approach (Urban HEART-2 study)
title_short Epidemiology of Chronic Pain in Tehran; Small Area Estimation of its Prevalence in Tehran Neighborhoods by Bayesian Approach (Urban HEART-2 study)
title_sort epidemiology of chronic pain in tehran small area estimation of its prevalence in tehran neighborhoods by bayesian approach urban heart 2 study
topic Chronic pain
Epidemiology
Small area estimation
Hierarchical Bayes
url http://irje.tums.ac.ir/browse.php?a_code=A-10-25-5020&slc_lang=en&sid=1
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