Prevalence of non-communicable disease risk factors among poor shantytown residents in Dhaka, Bangladesh: a community-based cross-sectional survey
ObjectivesThis study aims to describe the prevalence of non-communicable disease (NCD) risk factors among the urban poor in Bangladesh.DesignWe conducted a community-based cross-sectional epidemiological study.SettingThe study was conducted in a shantytown in the city of Dhaka. There were 8604 house...
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| creator | Khalequzzaman, Md Chiang, Chifa Choudhury, Sohel Reza Yatsuya, Hiroshi Al-Mamun, Mohammad Abdullah Al-Shoaibi, Abubakr Ahmed Abdullah Hirakawa, Yoshihisa Hoque, Bilqis Amin Islam, Syed Shariful Matsuyama, Akiko Iso, Hiroyasu Aoyama, Atsuko |
| description | ObjectivesThis study aims to describe the prevalence of non-communicable disease (NCD) risk factors among the urban poor in Bangladesh.DesignWe conducted a community-based cross-sectional epidemiological study.SettingThe study was conducted in a shantytown in the city of Dhaka. There were 8604 households with 34 170 residents in the community. Those households were categorised into two wealth strata based on the housing structure.ParticipantsThe study targeted residents aged 18–64 years. A total of 2986 eligible households with one eligible individual were selected by simple random sampling stratified by household wealth status. A total of 2551 residents completed the questionnaire survey, and 2009 participated in the subsequent physical and biochemical measurements.Outcome measuresA modified WHO survey instrument was used for assessing behavioural risk factors and physical and biochemical measurements, including glycated haemoglobin (HbA1c). The prevalence of NCD risk factors, such as tobacco use, fruit and vegetable intake, overweight/obesity, hypertension, diabetes (HbA1c ≥6.5%) and dyslipidaemia, was described according to household wealth status and gender differences.ResultsThe prevalence of current tobacco use was 60.4% in men and 23.5% in women. Most of them (90.8%) consumed more than 1 serving of fruits and vegetables per day; however, only 2.1% consumed more than 5 servings. Overweight/obesity was more common in women (39.2%) than in men (18.9%), while underweight was more common in men (21.0%) than in women (7.1%). The prevalence of hypertension was 18.6% in men and 20.7% in women. The prevalence of diabetes was 15.6% in men and 22.5% in women, which was much higher than the estimated national prevalence (7%). The prevalence of raised total cholesterol (≥190 mg/dL) was 25.7% in men and 34.0% in women.ConclusionThe study identified that tobacco use, both overweight and underweight, diabetes, hypertension and dyslipidaemia were prevalent among the urban poor in Bangladesh. |
| doi_str_mv | 10.1136/bmjopen-2016-014710 |
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| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5695399</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2099417388</sourcerecordid><originalsourceid>FETCH-LOGICAL-b538t-5f23c7506a82d664ee41fa43e3dfb1a8e3e0d743d45f769e286267feb92a24613</originalsourceid><addsrcrecordid>eNqNkU1v1DAQhi0EolXpL0BClrhwIMXfiTkgQfmUKsEBztYkmex6m9iLnSzav8EvxmWXqnDCF1uaZx7N-CXkMWcXnEvzop02cYuhEoybinFVc3aPnAqmVGWY1vfvvE_Iec4bVo7SVmvxkJwIy2XDLTslP78k3MGIoUMaBxpiqLo4TUvwHbQj0t5nhIw0-XxNB-jmmDKFKYYV3caYaF5DmPdz_BFowux7DHOmPtC3a7iG5_QNhNUIPeb1Swr0aJ73VVucPe1SzLnK2M0-BhhpXtIO94_IgwHGjOfH-4x8e__u6-XH6urzh0-Xr6-qVstmrvQgZFdrZqARvTEKUfEBlETZDy2HBiWyvlayV3qojUXRGGHqAVsrQCjD5Rl5dfBul3bCviujJxjdNvkJ0t5F8O7vSvBrt4o7p43V0toieHYUpPh9wTy7yecOxxECxiU7bo2qGbeNKujTf9BNXFLZOTvBrFW8lk1TKHmgfn9MwuF2GM7cTezuGLu7id0dYi9dT-7ucdvzJ-QCXByA0v1fxl_MK7y3</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2099417388</pqid></control><display><type>article</type><title>Prevalence of non-communicable disease risk factors among poor shantytown residents in Dhaka, Bangladesh: a community-based cross-sectional survey</title><source>BMJ Open Access Journals</source><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central Open Access</source><source>PubMed Central</source><creator>Khalequzzaman, Md ; Chiang, Chifa ; Choudhury, Sohel Reza ; Yatsuya, Hiroshi ; Al-Mamun, Mohammad Abdullah ; Al-Shoaibi, Abubakr Ahmed Abdullah ; Hirakawa, Yoshihisa ; Hoque, Bilqis Amin ; Islam, Syed Shariful ; Matsuyama, Akiko ; Iso, Hiroyasu ; Aoyama, Atsuko</creator><creatorcontrib>Khalequzzaman, Md ; Chiang, Chifa ; Choudhury, Sohel Reza ; Yatsuya, Hiroshi ; Al-Mamun, Mohammad Abdullah ; Al-Shoaibi, Abubakr Ahmed Abdullah ; Hirakawa, Yoshihisa ; Hoque, Bilqis Amin ; Islam, Syed Shariful ; Matsuyama, Akiko ; Iso, Hiroyasu ; Aoyama, Atsuko</creatorcontrib><description>ObjectivesThis study aims to describe the prevalence of non-communicable disease (NCD) risk factors among the urban poor in Bangladesh.DesignWe conducted a community-based cross-sectional epidemiological study.SettingThe study was conducted in a shantytown in the city of Dhaka. There were 8604 households with 34 170 residents in the community. Those households were categorised into two wealth strata based on the housing structure.ParticipantsThe study targeted residents aged 18–64 years. A total of 2986 eligible households with one eligible individual were selected by simple random sampling stratified by household wealth status. A total of 2551 residents completed the questionnaire survey, and 2009 participated in the subsequent physical and biochemical measurements.Outcome measuresA modified WHO survey instrument was used for assessing behavioural risk factors and physical and biochemical measurements, including glycated haemoglobin (HbA1c). The prevalence of NCD risk factors, such as tobacco use, fruit and vegetable intake, overweight/obesity, hypertension, diabetes (HbA1c ≥6.5%) and dyslipidaemia, was described according to household wealth status and gender differences.ResultsThe prevalence of current tobacco use was 60.4% in men and 23.5% in women. Most of them (90.8%) consumed more than 1 serving of fruits and vegetables per day; however, only 2.1% consumed more than 5 servings. Overweight/obesity was more common in women (39.2%) than in men (18.9%), while underweight was more common in men (21.0%) than in women (7.1%). The prevalence of hypertension was 18.6% in men and 20.7% in women. The prevalence of diabetes was 15.6% in men and 22.5% in women, which was much higher than the estimated national prevalence (7%). The prevalence of raised total cholesterol (≥190 mg/dL) was 25.7% in men and 34.0% in women.ConclusionThe study identified that tobacco use, both overweight and underweight, diabetes, hypertension and dyslipidaemia were prevalent among the urban poor in Bangladesh.</description><identifier>ISSN: 2044-6055</identifier><identifier>EISSN: 2044-6055</identifier><identifier>DOI: 10.1136/bmjopen-2016-014710</identifier><identifier>PMID: 29138190</identifier><language>eng</language><publisher>England: BMJ Publishing Group LTD</publisher><subject>Adolescent ; Adult ; Anemia ; Bangladesh - epidemiology ; Cholesterol ; Cholesterol, HDL - blood ; Cholesterol, LDL - blood ; Cities - epidemiology ; Cross-Sectional Studies ; Diabetes ; Diabetes Mellitus - blood ; Diabetes Mellitus - epidemiology ; Diet - statistics & numerical data ; Dyslipidemias - epidemiology ; Fasting ; Female ; Fruit ; Glycated Hemoglobin A - metabolism ; Households ; Housing ; Humans ; Hypertension ; Hypertension - epidemiology ; Lifestyles ; Lipoproteins ; Male ; Metabolic disorders ; Middle Aged ; Nutrition ; Obesity ; Obesity - epidemiology ; Overweight ; Population growth ; Poverty Areas ; Prevalence ; Public Health ; Risk Factors ; Rural areas ; Sex Factors ; Surveillance ; Systematic review ; Thinness - epidemiology ; Tobacco ; Tobacco Use - epidemiology ; Triglycerides ; Urban Population - statistics & numerical data ; Vegetables ; Young Adult</subject><ispartof>BMJ open, 2017-11, Vol.7 (11), p.e014710-e014710</ispartof><rights>Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.</rights><rights>2017 Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b538t-5f23c7506a82d664ee41fa43e3dfb1a8e3e0d743d45f769e286267feb92a24613</citedby><cites>FETCH-LOGICAL-b538t-5f23c7506a82d664ee41fa43e3dfb1a8e3e0d743d45f769e286267feb92a24613</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://bmjopen.bmj.com/content/7/11/e014710.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttp://bmjopen.bmj.com/content/7/11/e014710.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27528,27529,27903,27904,53769,53771,77347,77378</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29138190$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Khalequzzaman, Md</creatorcontrib><creatorcontrib>Chiang, Chifa</creatorcontrib><creatorcontrib>Choudhury, Sohel Reza</creatorcontrib><creatorcontrib>Yatsuya, Hiroshi</creatorcontrib><creatorcontrib>Al-Mamun, Mohammad Abdullah</creatorcontrib><creatorcontrib>Al-Shoaibi, Abubakr Ahmed Abdullah</creatorcontrib><creatorcontrib>Hirakawa, Yoshihisa</creatorcontrib><creatorcontrib>Hoque, Bilqis Amin</creatorcontrib><creatorcontrib>Islam, Syed Shariful</creatorcontrib><creatorcontrib>Matsuyama, Akiko</creatorcontrib><creatorcontrib>Iso, Hiroyasu</creatorcontrib><creatorcontrib>Aoyama, Atsuko</creatorcontrib><title>Prevalence of non-communicable disease risk factors among poor shantytown residents in Dhaka, Bangladesh: a community-based cross-sectional survey</title><title>BMJ open</title><addtitle>BMJ Open</addtitle><description>ObjectivesThis study aims to describe the prevalence of non-communicable disease (NCD) risk factors among the urban poor in Bangladesh.DesignWe conducted a community-based cross-sectional epidemiological study.SettingThe study was conducted in a shantytown in the city of Dhaka. There were 8604 households with 34 170 residents in the community. Those households were categorised into two wealth strata based on the housing structure.ParticipantsThe study targeted residents aged 18–64 years. A total of 2986 eligible households with one eligible individual were selected by simple random sampling stratified by household wealth status. A total of 2551 residents completed the questionnaire survey, and 2009 participated in the subsequent physical and biochemical measurements.Outcome measuresA modified WHO survey instrument was used for assessing behavioural risk factors and physical and biochemical measurements, including glycated haemoglobin (HbA1c). The prevalence of NCD risk factors, such as tobacco use, fruit and vegetable intake, overweight/obesity, hypertension, diabetes (HbA1c ≥6.5%) and dyslipidaemia, was described according to household wealth status and gender differences.ResultsThe prevalence of current tobacco use was 60.4% in men and 23.5% in women. Most of them (90.8%) consumed more than 1 serving of fruits and vegetables per day; however, only 2.1% consumed more than 5 servings. Overweight/obesity was more common in women (39.2%) than in men (18.9%), while underweight was more common in men (21.0%) than in women (7.1%). The prevalence of hypertension was 18.6% in men and 20.7% in women. The prevalence of diabetes was 15.6% in men and 22.5% in women, which was much higher than the estimated national prevalence (7%). The prevalence of raised total cholesterol (≥190 mg/dL) was 25.7% in men and 34.0% in women.ConclusionThe study identified that tobacco use, both overweight and underweight, diabetes, hypertension and dyslipidaemia were prevalent among the urban poor in Bangladesh.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Anemia</subject><subject>Bangladesh - epidemiology</subject><subject>Cholesterol</subject><subject>Cholesterol, HDL - blood</subject><subject>Cholesterol, LDL - blood</subject><subject>Cities - epidemiology</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes</subject><subject>Diabetes Mellitus - blood</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Diet - statistics & numerical data</subject><subject>Dyslipidemias - epidemiology</subject><subject>Fasting</subject><subject>Female</subject><subject>Fruit</subject><subject>Glycated Hemoglobin A - metabolism</subject><subject>Households</subject><subject>Housing</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - epidemiology</subject><subject>Lifestyles</subject><subject>Lipoproteins</subject><subject>Male</subject><subject>Metabolic disorders</subject><subject>Middle Aged</subject><subject>Nutrition</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Overweight</subject><subject>Population growth</subject><subject>Poverty Areas</subject><subject>Prevalence</subject><subject>Public Health</subject><subject>Risk Factors</subject><subject>Rural areas</subject><subject>Sex Factors</subject><subject>Surveillance</subject><subject>Systematic review</subject><subject>Thinness - epidemiology</subject><subject>Tobacco</subject><subject>Tobacco Use - epidemiology</subject><subject>Triglycerides</subject><subject>Urban Population - statistics & numerical data</subject><subject>Vegetables</subject><subject>Young Adult</subject><issn>2044-6055</issn><issn>2044-6055</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkU1v1DAQhi0EolXpL0BClrhwIMXfiTkgQfmUKsEBztYkmex6m9iLnSzav8EvxmWXqnDCF1uaZx7N-CXkMWcXnEvzop02cYuhEoybinFVc3aPnAqmVGWY1vfvvE_Iec4bVo7SVmvxkJwIy2XDLTslP78k3MGIoUMaBxpiqLo4TUvwHbQj0t5nhIw0-XxNB-jmmDKFKYYV3caYaF5DmPdz_BFowux7DHOmPtC3a7iG5_QNhNUIPeb1Swr0aJ73VVucPe1SzLnK2M0-BhhpXtIO94_IgwHGjOfH-4x8e__u6-XH6urzh0-Xr6-qVstmrvQgZFdrZqARvTEKUfEBlETZDy2HBiWyvlayV3qojUXRGGHqAVsrQCjD5Rl5dfBul3bCviujJxjdNvkJ0t5F8O7vSvBrt4o7p43V0toieHYUpPh9wTy7yecOxxECxiU7bo2qGbeNKujTf9BNXFLZOTvBrFW8lk1TKHmgfn9MwuF2GM7cTezuGLu7id0dYi9dT-7ucdvzJ-QCXByA0v1fxl_MK7y3</recordid><startdate>20171101</startdate><enddate>20171101</enddate><creator>Khalequzzaman, Md</creator><creator>Chiang, Chifa</creator><creator>Choudhury, Sohel Reza</creator><creator>Yatsuya, Hiroshi</creator><creator>Al-Mamun, Mohammad Abdullah</creator><creator>Al-Shoaibi, Abubakr Ahmed Abdullah</creator><creator>Hirakawa, Yoshihisa</creator><creator>Hoque, Bilqis Amin</creator><creator>Islam, Syed Shariful</creator><creator>Matsuyama, Akiko</creator><creator>Iso, Hiroyasu</creator><creator>Aoyama, Atsuko</creator><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><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>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20171101</creationdate><title>Prevalence of non-communicable disease risk factors among poor shantytown residents in Dhaka, Bangladesh: a community-based cross-sectional survey</title><author>Khalequzzaman, Md ; Chiang, Chifa ; Choudhury, Sohel Reza ; Yatsuya, Hiroshi ; Al-Mamun, Mohammad Abdullah ; Al-Shoaibi, Abubakr Ahmed Abdullah ; Hirakawa, Yoshihisa ; Hoque, Bilqis Amin ; Islam, Syed Shariful ; Matsuyama, Akiko ; Iso, Hiroyasu ; Aoyama, Atsuko</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b538t-5f23c7506a82d664ee41fa43e3dfb1a8e3e0d743d45f769e286267feb92a24613</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Anemia</topic><topic>Bangladesh - epidemiology</topic><topic>Cholesterol</topic><topic>Cholesterol, HDL - blood</topic><topic>Cholesterol, LDL - blood</topic><topic>Cities - epidemiology</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes</topic><topic>Diabetes Mellitus - blood</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Diet - statistics & numerical data</topic><topic>Dyslipidemias - epidemiology</topic><topic>Fasting</topic><topic>Female</topic><topic>Fruit</topic><topic>Glycated Hemoglobin A - metabolism</topic><topic>Households</topic><topic>Housing</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension - epidemiology</topic><topic>Lifestyles</topic><topic>Lipoproteins</topic><topic>Male</topic><topic>Metabolic disorders</topic><topic>Middle Aged</topic><topic>Nutrition</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Overweight</topic><topic>Population growth</topic><topic>Poverty Areas</topic><topic>Prevalence</topic><topic>Public Health</topic><topic>Risk Factors</topic><topic>Rural areas</topic><topic>Sex Factors</topic><topic>Surveillance</topic><topic>Systematic review</topic><topic>Thinness - epidemiology</topic><topic>Tobacco</topic><topic>Tobacco Use - epidemiology</topic><topic>Triglycerides</topic><topic>Urban Population - statistics & numerical data</topic><topic>Vegetables</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khalequzzaman, Md</creatorcontrib><creatorcontrib>Chiang, Chifa</creatorcontrib><creatorcontrib>Choudhury, Sohel Reza</creatorcontrib><creatorcontrib>Yatsuya, Hiroshi</creatorcontrib><creatorcontrib>Al-Mamun, Mohammad Abdullah</creatorcontrib><creatorcontrib>Al-Shoaibi, Abubakr Ahmed Abdullah</creatorcontrib><creatorcontrib>Hirakawa, Yoshihisa</creatorcontrib><creatorcontrib>Hoque, Bilqis Amin</creatorcontrib><creatorcontrib>Islam, Syed Shariful</creatorcontrib><creatorcontrib>Matsuyama, Akiko</creatorcontrib><creatorcontrib>Iso, Hiroyasu</creatorcontrib><creatorcontrib>Aoyama, Atsuko</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><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>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>BMJ Journals</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>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Nursing & Allied Health Premium</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>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMJ open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khalequzzaman, Md</au><au>Chiang, Chifa</au><au>Choudhury, Sohel Reza</au><au>Yatsuya, Hiroshi</au><au>Al-Mamun, Mohammad Abdullah</au><au>Al-Shoaibi, Abubakr Ahmed Abdullah</au><au>Hirakawa, Yoshihisa</au><au>Hoque, Bilqis Amin</au><au>Islam, Syed Shariful</au><au>Matsuyama, Akiko</au><au>Iso, Hiroyasu</au><au>Aoyama, Atsuko</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence of non-communicable disease risk factors among poor shantytown residents in Dhaka, Bangladesh: a community-based cross-sectional survey</atitle><jtitle>BMJ open</jtitle><addtitle>BMJ Open</addtitle><date>2017-11-01</date><risdate>2017</risdate><volume>7</volume><issue>11</issue><spage>e014710</spage><epage>e014710</epage><pages>e014710-e014710</pages><issn>2044-6055</issn><eissn>2044-6055</eissn><abstract>ObjectivesThis study aims to describe the prevalence of non-communicable disease (NCD) risk factors among the urban poor in Bangladesh.DesignWe conducted a community-based cross-sectional epidemiological study.SettingThe study was conducted in a shantytown in the city of Dhaka. There were 8604 households with 34 170 residents in the community. Those households were categorised into two wealth strata based on the housing structure.ParticipantsThe study targeted residents aged 18–64 years. A total of 2986 eligible households with one eligible individual were selected by simple random sampling stratified by household wealth status. A total of 2551 residents completed the questionnaire survey, and 2009 participated in the subsequent physical and biochemical measurements.Outcome measuresA modified WHO survey instrument was used for assessing behavioural risk factors and physical and biochemical measurements, including glycated haemoglobin (HbA1c). The prevalence of NCD risk factors, such as tobacco use, fruit and vegetable intake, overweight/obesity, hypertension, diabetes (HbA1c ≥6.5%) and dyslipidaemia, was described according to household wealth status and gender differences.ResultsThe prevalence of current tobacco use was 60.4% in men and 23.5% in women. Most of them (90.8%) consumed more than 1 serving of fruits and vegetables per day; however, only 2.1% consumed more than 5 servings. Overweight/obesity was more common in women (39.2%) than in men (18.9%), while underweight was more common in men (21.0%) than in women (7.1%). The prevalence of hypertension was 18.6% in men and 20.7% in women. The prevalence of diabetes was 15.6% in men and 22.5% in women, which was much higher than the estimated national prevalence (7%). The prevalence of raised total cholesterol (≥190 mg/dL) was 25.7% in men and 34.0% in women.ConclusionThe study identified that tobacco use, both overweight and underweight, diabetes, hypertension and dyslipidaemia were prevalent among the urban poor in Bangladesh.</abstract><cop>England</cop><pub>BMJ Publishing Group LTD</pub><pmid>29138190</pmid><doi>10.1136/bmjopen-2016-014710</doi><oa>free_for_read</oa></addata></record> |
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| source | BMJ Open Access Journals; MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; PubMed Central |
| subjects | Adolescent Adult Anemia Bangladesh - epidemiology Cholesterol Cholesterol, HDL - blood Cholesterol, LDL - blood Cities - epidemiology Cross-Sectional Studies Diabetes Diabetes Mellitus - blood Diabetes Mellitus - epidemiology Diet - statistics & numerical data Dyslipidemias - epidemiology Fasting Female Fruit Glycated Hemoglobin A - metabolism Households Housing Humans Hypertension Hypertension - epidemiology Lifestyles Lipoproteins Male Metabolic disorders Middle Aged Nutrition Obesity Obesity - epidemiology Overweight Population growth Poverty Areas Prevalence Public Health Risk Factors Rural areas Sex Factors Surveillance Systematic review Thinness - epidemiology Tobacco Tobacco Use - epidemiology Triglycerides Urban Population - statistics & numerical data Vegetables Young Adult |
| title | Prevalence of non-communicable disease risk factors among poor shantytown residents in Dhaka, Bangladesh: a community-based cross-sectional survey |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T13%3A45%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prevalence%20of%20non-communicable%20disease%20risk%20factors%20among%20poor%20shantytown%20residents%20in%20Dhaka,%20Bangladesh:%20a%20community-based%20cross-sectional%20survey&rft.jtitle=BMJ%20open&rft.au=Khalequzzaman,%20Md&rft.date=2017-11-01&rft.volume=7&rft.issue=11&rft.spage=e014710&rft.epage=e014710&rft.pages=e014710-e014710&rft.issn=2044-6055&rft.eissn=2044-6055&rft_id=info:doi/10.1136/bmjopen-2016-014710&rft_dat=%3Cproquest_pubme%3E2099417388%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2099417388&rft_id=info:pmid/29138190&rfr_iscdi=true |