Loading…

Determinants of multidrug-resistant tuberculosis in Henan province in China: a case control study

Multi-drug resistance (MDR) has been a cause of concern for tuberculosis (TB) control in both developed and developing countries. This study described the characteristics and risk factors associated with MDR-TB among 287 cases and 291 controls in Henan province, China. A hospital-based case-control...

Full description

Saved in:
Bibliographic Details
Published in:BMC public health 2016-01, Vol.16 (45), p.42-42, Article 42
Main Authors: Zhang, Chunxiao, Wang, Yongliang, Shi, Guangcan, Han, Wei, Zhao, Huayang, Zhang, Huiqiang, Xi, Xiue
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c522t-1a5a1491fe24d9c78d43f6c935ccf2763acc67a00d07a0db5cbc7aac7fb459683
cites cdi_FETCH-LOGICAL-c522t-1a5a1491fe24d9c78d43f6c935ccf2763acc67a00d07a0db5cbc7aac7fb459683
container_end_page 42
container_issue 45
container_start_page 42
container_title BMC public health
container_volume 16
creator Zhang, Chunxiao
Wang, Yongliang
Shi, Guangcan
Han, Wei
Zhao, Huayang
Zhang, Huiqiang
Xi, Xiue
description Multi-drug resistance (MDR) has been a cause of concern for tuberculosis (TB) control in both developed and developing countries. This study described the characteristics and risk factors associated with MDR-TB among 287 cases and 291 controls in Henan province, China. A hospital-based case-control study was conducted between June 2012 and December 2013. The study subjects were selected using multistage probability sampling. Multivariate conditional logistic regression models were used to determine the risk factors associated with MDR-TB. The following risk factors for MDR-TB were identified: previous TB treatment (AOR = 4.51, 95% CI: 3.55-5.56), male sex (AOR = 1.09, 95% CI: 0.24-1.88), high school or lower education degree (AOR = 1.87, 95% CI: 1.27-2.69), unemployment (AOR = 1.30, 95% CI: 0.78-2.52), long distance of residence from the health facility (AOR = 6.66,95% CI: 5.92-7.72), smoking (AOR = 2.07, 95% CI: 1.66-3.19), poor knowledge regarding MDR-TB (AOR = 2.06, 95% CI: 1.66-2.92), traveling by foot to reach the health facility (AOR = 1.85, 95% CI: 1.12-3.09), estimated amount of time to reach the health facility was greater than 3 h (AOR = 1.42, 95% CI: 0.51-2.35), social stigma (AOR = 1.17, 95% CI: 0.27-2.03), having an opportunistic infection (AOR = 1.45, 95% CI: 0.58-2.4), more than 3 TB foci in the lungs (AOR = 1.98, 95% CI: 1.49-3.25), total time of first treatment was more than 8 months (AOR = 1.39, 95% CI: 0.65-2.54), adverse effects of anti-TB medication (AOR = 2.39, 95% CI: 1.40-3.26), and more than 3 prior episodes of anti-TB treatment (AOR = 1.83, 95% CI: 1.26-2.80). The identified risk factors should be given priority in TB control programs. Additionally, there is a compelling need for better management and control of MDR-TB, particularly through increasing laboratory capacity, regular screening, enhancing drug sensitivity testing, novel MDR-TB drug regimens, and adherence to medication.
doi_str_mv 10.1186/s12889-016-2711-z
format article
fullrecord <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4715352</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A440786002</galeid><sourcerecordid>A440786002</sourcerecordid><originalsourceid>FETCH-LOGICAL-c522t-1a5a1491fe24d9c78d43f6c935ccf2763acc67a00d07a0db5cbc7aac7fb459683</originalsourceid><addsrcrecordid>eNp9UktrFTEYHUSxD_0BbiTgxs3UvJNxIZSrtULBja5DJpPcpswk1zwK7a83w63lVkQCSTg558vJl9N1bxA8Q0jyDxlhKYceIt5jgVB__6w7RlSgHlMmnx_sj7qTnG8gREIy_LI7wlwIhjk57vRnW2xafNChZBAdWOpc_JTqtk82-1waDkodbTJ1jg0APoBL2-hgl-KtD8auyOa6VfgINDA6W2BiKCnOIJc63b3qXjg9Z_v6YT3tfl58-bG57K--f_22Ob_qDcO49EgzjeiAnMV0GoyQEyWOm4EwYxwWnGhjuNAQTrDN08jMaITWRriRsoFLctp92tfd1XGxk7HNg57VLvlFpzsVtVdPT4K_Vtt4q1qTGGG4FXj_UCDFX9XmohafjZ1nHWysWSHBoRSyOWrUd39Rb2JNoT1PYUIlGQaGh_-xkBC0fQeRB6ytnq3ywcXmzqxXq3NKoZAcwtXc2T9YbUx28a3f1vmGPxGgvcCkmHOy7rETCKo1PWqfHtXSo9b0qPumeXvYwkfFn7iQ31HNwEM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1774001389</pqid></control><display><type>article</type><title>Determinants of multidrug-resistant tuberculosis in Henan province in China: a case control study</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Zhang, Chunxiao ; Wang, Yongliang ; Shi, Guangcan ; Han, Wei ; Zhao, Huayang ; Zhang, Huiqiang ; Xi, Xiue</creator><creatorcontrib>Zhang, Chunxiao ; Wang, Yongliang ; Shi, Guangcan ; Han, Wei ; Zhao, Huayang ; Zhang, Huiqiang ; Xi, Xiue</creatorcontrib><description>Multi-drug resistance (MDR) has been a cause of concern for tuberculosis (TB) control in both developed and developing countries. This study described the characteristics and risk factors associated with MDR-TB among 287 cases and 291 controls in Henan province, China. A hospital-based case-control study was conducted between June 2012 and December 2013. The study subjects were selected using multistage probability sampling. Multivariate conditional logistic regression models were used to determine the risk factors associated with MDR-TB. The following risk factors for MDR-TB were identified: previous TB treatment (AOR = 4.51, 95% CI: 3.55-5.56), male sex (AOR = 1.09, 95% CI: 0.24-1.88), high school or lower education degree (AOR = 1.87, 95% CI: 1.27-2.69), unemployment (AOR = 1.30, 95% CI: 0.78-2.52), long distance of residence from the health facility (AOR = 6.66,95% CI: 5.92-7.72), smoking (AOR = 2.07, 95% CI: 1.66-3.19), poor knowledge regarding MDR-TB (AOR = 2.06, 95% CI: 1.66-2.92), traveling by foot to reach the health facility (AOR = 1.85, 95% CI: 1.12-3.09), estimated amount of time to reach the health facility was greater than 3 h (AOR = 1.42, 95% CI: 0.51-2.35), social stigma (AOR = 1.17, 95% CI: 0.27-2.03), having an opportunistic infection (AOR = 1.45, 95% CI: 0.58-2.4), more than 3 TB foci in the lungs (AOR = 1.98, 95% CI: 1.49-3.25), total time of first treatment was more than 8 months (AOR = 1.39, 95% CI: 0.65-2.54), adverse effects of anti-TB medication (AOR = 2.39, 95% CI: 1.40-3.26), and more than 3 prior episodes of anti-TB treatment (AOR = 1.83, 95% CI: 1.26-2.80). The identified risk factors should be given priority in TB control programs. Additionally, there is a compelling need for better management and control of MDR-TB, particularly through increasing laboratory capacity, regular screening, enhancing drug sensitivity testing, novel MDR-TB drug regimens, and adherence to medication.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/s12889-016-2711-z</identifier><identifier>PMID: 26775263</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adult ; Alcoholism ; Care and treatment ; Case-Control Studies ; China - epidemiology ; Community health care ; Control methods ; Control programs ; Data collection ; Developing Countries ; Diagnosis ; Drug resistance ; Drug sensitivity testing ; Education ; Ethics ; Female ; Forecasts and trends ; Health care facilities ; Health facilities ; Health services ; Health Services Accessibility ; Hospital facilities ; Hospitals ; Humans ; LDCs ; Logistic Models ; Male ; Marital status ; Medical records ; Methods ; Middle Aged ; Mortality ; Multidrug resistance ; Multidrug resistant organisms ; Opportunist infection ; Patients ; Public health ; Public health administration ; Regression analysis ; Regression models ; Risk analysis ; Risk Factors ; Sensitivity enhancement ; Sex Factors ; Smoking - epidemiology ; Social Stigma ; Sociodemographics ; Socioeconomic Factors ; Statistical analysis ; Tuberculosis ; Tuberculosis, Multidrug-Resistant - epidemiology ; Tuberculosis, Multidrug-Resistant - psychology</subject><ispartof>BMC public health, 2016-01, Vol.16 (45), p.42-42, Article 42</ispartof><rights>COPYRIGHT 2016 BioMed Central Ltd.</rights><rights>Copyright BioMed Central 2016</rights><rights>2016. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Zhang et al. 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c522t-1a5a1491fe24d9c78d43f6c935ccf2763acc67a00d07a0db5cbc7aac7fb459683</citedby><cites>FETCH-LOGICAL-c522t-1a5a1491fe24d9c78d43f6c935ccf2763acc67a00d07a0db5cbc7aac7fb459683</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4715352/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1774001389?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26775263$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Chunxiao</creatorcontrib><creatorcontrib>Wang, Yongliang</creatorcontrib><creatorcontrib>Shi, Guangcan</creatorcontrib><creatorcontrib>Han, Wei</creatorcontrib><creatorcontrib>Zhao, Huayang</creatorcontrib><creatorcontrib>Zhang, Huiqiang</creatorcontrib><creatorcontrib>Xi, Xiue</creatorcontrib><title>Determinants of multidrug-resistant tuberculosis in Henan province in China: a case control study</title><title>BMC public health</title><addtitle>BMC Public Health</addtitle><description>Multi-drug resistance (MDR) has been a cause of concern for tuberculosis (TB) control in both developed and developing countries. This study described the characteristics and risk factors associated with MDR-TB among 287 cases and 291 controls in Henan province, China. A hospital-based case-control study was conducted between June 2012 and December 2013. The study subjects were selected using multistage probability sampling. Multivariate conditional logistic regression models were used to determine the risk factors associated with MDR-TB. The following risk factors for MDR-TB were identified: previous TB treatment (AOR = 4.51, 95% CI: 3.55-5.56), male sex (AOR = 1.09, 95% CI: 0.24-1.88), high school or lower education degree (AOR = 1.87, 95% CI: 1.27-2.69), unemployment (AOR = 1.30, 95% CI: 0.78-2.52), long distance of residence from the health facility (AOR = 6.66,95% CI: 5.92-7.72), smoking (AOR = 2.07, 95% CI: 1.66-3.19), poor knowledge regarding MDR-TB (AOR = 2.06, 95% CI: 1.66-2.92), traveling by foot to reach the health facility (AOR = 1.85, 95% CI: 1.12-3.09), estimated amount of time to reach the health facility was greater than 3 h (AOR = 1.42, 95% CI: 0.51-2.35), social stigma (AOR = 1.17, 95% CI: 0.27-2.03), having an opportunistic infection (AOR = 1.45, 95% CI: 0.58-2.4), more than 3 TB foci in the lungs (AOR = 1.98, 95% CI: 1.49-3.25), total time of first treatment was more than 8 months (AOR = 1.39, 95% CI: 0.65-2.54), adverse effects of anti-TB medication (AOR = 2.39, 95% CI: 1.40-3.26), and more than 3 prior episodes of anti-TB treatment (AOR = 1.83, 95% CI: 1.26-2.80). The identified risk factors should be given priority in TB control programs. Additionally, there is a compelling need for better management and control of MDR-TB, particularly through increasing laboratory capacity, regular screening, enhancing drug sensitivity testing, novel MDR-TB drug regimens, and adherence to medication.</description><subject>Adult</subject><subject>Alcoholism</subject><subject>Care and treatment</subject><subject>Case-Control Studies</subject><subject>China - epidemiology</subject><subject>Community health care</subject><subject>Control methods</subject><subject>Control programs</subject><subject>Data collection</subject><subject>Developing Countries</subject><subject>Diagnosis</subject><subject>Drug resistance</subject><subject>Drug sensitivity testing</subject><subject>Education</subject><subject>Ethics</subject><subject>Female</subject><subject>Forecasts and trends</subject><subject>Health care facilities</subject><subject>Health facilities</subject><subject>Health services</subject><subject>Health Services Accessibility</subject><subject>Hospital facilities</subject><subject>Hospitals</subject><subject>Humans</subject><subject>LDCs</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Marital status</subject><subject>Medical records</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Multidrug resistance</subject><subject>Multidrug resistant organisms</subject><subject>Opportunist infection</subject><subject>Patients</subject><subject>Public health</subject><subject>Public health administration</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Risk analysis</subject><subject>Risk Factors</subject><subject>Sensitivity enhancement</subject><subject>Sex Factors</subject><subject>Smoking - epidemiology</subject><subject>Social Stigma</subject><subject>Sociodemographics</subject><subject>Socioeconomic Factors</subject><subject>Statistical analysis</subject><subject>Tuberculosis</subject><subject>Tuberculosis, Multidrug-Resistant - epidemiology</subject><subject>Tuberculosis, Multidrug-Resistant - psychology</subject><issn>1471-2458</issn><issn>1471-2458</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNp9UktrFTEYHUSxD_0BbiTgxs3UvJNxIZSrtULBja5DJpPcpswk1zwK7a83w63lVkQCSTg558vJl9N1bxA8Q0jyDxlhKYceIt5jgVB__6w7RlSgHlMmnx_sj7qTnG8gREIy_LI7wlwIhjk57vRnW2xafNChZBAdWOpc_JTqtk82-1waDkodbTJ1jg0APoBL2-hgl-KtD8auyOa6VfgINDA6W2BiKCnOIJc63b3qXjg9Z_v6YT3tfl58-bG57K--f_22Ob_qDcO49EgzjeiAnMV0GoyQEyWOm4EwYxwWnGhjuNAQTrDN08jMaITWRriRsoFLctp92tfd1XGxk7HNg57VLvlFpzsVtVdPT4K_Vtt4q1qTGGG4FXj_UCDFX9XmohafjZ1nHWysWSHBoRSyOWrUd39Rb2JNoT1PYUIlGQaGh_-xkBC0fQeRB6ytnq3ywcXmzqxXq3NKoZAcwtXc2T9YbUx28a3f1vmGPxGgvcCkmHOy7rETCKo1PWqfHtXSo9b0qPumeXvYwkfFn7iQ31HNwEM</recordid><startdate>20160116</startdate><enddate>20160116</enddate><creator>Zhang, Chunxiao</creator><creator>Wang, Yongliang</creator><creator>Shi, Guangcan</creator><creator>Han, Wei</creator><creator>Zhao, Huayang</creator><creator>Zhang, Huiqiang</creator><creator>Xi, Xiue</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160116</creationdate><title>Determinants of multidrug-resistant tuberculosis in Henan province in China: a case control study</title><author>Zhang, Chunxiao ; Wang, Yongliang ; Shi, Guangcan ; Han, Wei ; Zhao, Huayang ; Zhang, Huiqiang ; Xi, Xiue</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c522t-1a5a1491fe24d9c78d43f6c935ccf2763acc67a00d07a0db5cbc7aac7fb459683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Alcoholism</topic><topic>Care and treatment</topic><topic>Case-Control Studies</topic><topic>China - epidemiology</topic><topic>Community health care</topic><topic>Control methods</topic><topic>Control programs</topic><topic>Data collection</topic><topic>Developing Countries</topic><topic>Diagnosis</topic><topic>Drug resistance</topic><topic>Drug sensitivity testing</topic><topic>Education</topic><topic>Ethics</topic><topic>Female</topic><topic>Forecasts and trends</topic><topic>Health care facilities</topic><topic>Health facilities</topic><topic>Health services</topic><topic>Health Services Accessibility</topic><topic>Hospital facilities</topic><topic>Hospitals</topic><topic>Humans</topic><topic>LDCs</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Marital status</topic><topic>Medical records</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Multidrug resistance</topic><topic>Multidrug resistant organisms</topic><topic>Opportunist infection</topic><topic>Patients</topic><topic>Public health</topic><topic>Public health administration</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Risk analysis</topic><topic>Risk Factors</topic><topic>Sensitivity enhancement</topic><topic>Sex Factors</topic><topic>Smoking - epidemiology</topic><topic>Social Stigma</topic><topic>Sociodemographics</topic><topic>Socioeconomic Factors</topic><topic>Statistical analysis</topic><topic>Tuberculosis</topic><topic>Tuberculosis, Multidrug-Resistant - epidemiology</topic><topic>Tuberculosis, Multidrug-Resistant - psychology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Chunxiao</creatorcontrib><creatorcontrib>Wang, Yongliang</creatorcontrib><creatorcontrib>Shi, Guangcan</creatorcontrib><creatorcontrib>Han, Wei</creatorcontrib><creatorcontrib>Zhao, Huayang</creatorcontrib><creatorcontrib>Zhang, Huiqiang</creatorcontrib><creatorcontrib>Xi, Xiue</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Proquest Health and Medical Complete</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>British Nursing Database</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Chunxiao</au><au>Wang, Yongliang</au><au>Shi, Guangcan</au><au>Han, Wei</au><au>Zhao, Huayang</au><au>Zhang, Huiqiang</au><au>Xi, Xiue</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determinants of multidrug-resistant tuberculosis in Henan province in China: a case control study</atitle><jtitle>BMC public health</jtitle><addtitle>BMC Public Health</addtitle><date>2016-01-16</date><risdate>2016</risdate><volume>16</volume><issue>45</issue><spage>42</spage><epage>42</epage><pages>42-42</pages><artnum>42</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>Multi-drug resistance (MDR) has been a cause of concern for tuberculosis (TB) control in both developed and developing countries. This study described the characteristics and risk factors associated with MDR-TB among 287 cases and 291 controls in Henan province, China. A hospital-based case-control study was conducted between June 2012 and December 2013. The study subjects were selected using multistage probability sampling. Multivariate conditional logistic regression models were used to determine the risk factors associated with MDR-TB. The following risk factors for MDR-TB were identified: previous TB treatment (AOR = 4.51, 95% CI: 3.55-5.56), male sex (AOR = 1.09, 95% CI: 0.24-1.88), high school or lower education degree (AOR = 1.87, 95% CI: 1.27-2.69), unemployment (AOR = 1.30, 95% CI: 0.78-2.52), long distance of residence from the health facility (AOR = 6.66,95% CI: 5.92-7.72), smoking (AOR = 2.07, 95% CI: 1.66-3.19), poor knowledge regarding MDR-TB (AOR = 2.06, 95% CI: 1.66-2.92), traveling by foot to reach the health facility (AOR = 1.85, 95% CI: 1.12-3.09), estimated amount of time to reach the health facility was greater than 3 h (AOR = 1.42, 95% CI: 0.51-2.35), social stigma (AOR = 1.17, 95% CI: 0.27-2.03), having an opportunistic infection (AOR = 1.45, 95% CI: 0.58-2.4), more than 3 TB foci in the lungs (AOR = 1.98, 95% CI: 1.49-3.25), total time of first treatment was more than 8 months (AOR = 1.39, 95% CI: 0.65-2.54), adverse effects of anti-TB medication (AOR = 2.39, 95% CI: 1.40-3.26), and more than 3 prior episodes of anti-TB treatment (AOR = 1.83, 95% CI: 1.26-2.80). The identified risk factors should be given priority in TB control programs. Additionally, there is a compelling need for better management and control of MDR-TB, particularly through increasing laboratory capacity, regular screening, enhancing drug sensitivity testing, novel MDR-TB drug regimens, and adherence to medication.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>26775263</pmid><doi>10.1186/s12889-016-2711-z</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1471-2458
ispartof BMC public health, 2016-01, Vol.16 (45), p.42-42, Article 42
issn 1471-2458
1471-2458
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4715352
source Publicly Available Content Database; PubMed Central
subjects Adult
Alcoholism
Care and treatment
Case-Control Studies
China - epidemiology
Community health care
Control methods
Control programs
Data collection
Developing Countries
Diagnosis
Drug resistance
Drug sensitivity testing
Education
Ethics
Female
Forecasts and trends
Health care facilities
Health facilities
Health services
Health Services Accessibility
Hospital facilities
Hospitals
Humans
LDCs
Logistic Models
Male
Marital status
Medical records
Methods
Middle Aged
Mortality
Multidrug resistance
Multidrug resistant organisms
Opportunist infection
Patients
Public health
Public health administration
Regression analysis
Regression models
Risk analysis
Risk Factors
Sensitivity enhancement
Sex Factors
Smoking - epidemiology
Social Stigma
Sociodemographics
Socioeconomic Factors
Statistical analysis
Tuberculosis
Tuberculosis, Multidrug-Resistant - epidemiology
Tuberculosis, Multidrug-Resistant - psychology
title Determinants of multidrug-resistant tuberculosis in Henan province in China: a case control study
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T20%3A30%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Determinants%20of%20multidrug-resistant%20tuberculosis%20in%20Henan%20province%20in%20China:%20a%20case%20control%20study&rft.jtitle=BMC%20public%20health&rft.au=Zhang,%20Chunxiao&rft.date=2016-01-16&rft.volume=16&rft.issue=45&rft.spage=42&rft.epage=42&rft.pages=42-42&rft.artnum=42&rft.issn=1471-2458&rft.eissn=1471-2458&rft_id=info:doi/10.1186/s12889-016-2711-z&rft_dat=%3Cgale_pubme%3EA440786002%3C/gale_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c522t-1a5a1491fe24d9c78d43f6c935ccf2763acc67a00d07a0db5cbc7aac7fb459683%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1774001389&rft_id=info:pmid/26775263&rft_galeid=A440786002&rfr_iscdi=true