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Prevalence and determinants of metabolic syndrome: a cross-sectional survey of general medical outpatient clinics using National Cholesterol Education Program-Adult Treatment Panel III criteria in Botswana
Low- and middle-income countries, including Botswana, are facing rising prevalence of obesity and obesity-related cardiometabolic complications. Very little information is known about clustering of cardiovascular risk factors in the outpatient setting during routine visits. We aimed to assess the pr...
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Published in: | Diabetes, metabolic syndrome and obesity metabolic syndrome and obesity, 2016-01, Vol.9, p.273-279 |
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creator | Omech, Bernard Tshikuka, Jose-Gaby Mwita, Julius C Tsima, Billy Nkomazana, Oathokwa Amone-P'Olak, Kennedy |
description | Low- and middle-income countries, including Botswana, are facing rising prevalence of obesity and obesity-related cardiometabolic complications. Very little information is known about clustering of cardiovascular risk factors in the outpatient setting during routine visits. We aimed to assess the prevalence and identify the determinants of metabolic syndrome among the general outpatients' attendances in Botswana.
A cross-sectional study was conducted from August to October 2014 involving outpatients aged ≥20 years without diagnosis of diabetes mellitus. A precoded questionnaire was used to collect data on participants' sociodemographics, risk factors, and anthropometric indices. Fasting blood samples were drawn and analyzed for glucose and lipid profile. Metabolic syndrome was assessed using National Cholesterol Education Program-Adult Treatment Panel III criteria.
In total, 291 participants were analyzed, of whom 216 (74.2%) were females. The mean age of the total population was 50.1 (±11) years. The overall prevalence of metabolic syndrome was 27.1% (n=79), with no significant difference between the sexes (female =29.6%, males =20%, P=0.11). A triad of central obesity, low high-density lipoprotein-cholesterol, and elevated blood pressure constituted the largest proportion (38 [13.1%]) of cases of metabolic syndrome, followed by a combination of low high-density lipoprotein, elevated triglycerides, central obesity, and elevated blood pressure, with 17 (5.8%) cases. Independent determinants of metabolic syndrome were antihypertensive use and increased waist circumference.
Metabolic syndrome is highly prevalent in the general medical outpatients clinics. Proactive approaches are needed to screen and manage cases targeting its most important predictors. |
doi_str_mv | 10.2147/DMSO.S109007 |
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A cross-sectional study was conducted from August to October 2014 involving outpatients aged ≥20 years without diagnosis of diabetes mellitus. A precoded questionnaire was used to collect data on participants' sociodemographics, risk factors, and anthropometric indices. Fasting blood samples were drawn and analyzed for glucose and lipid profile. Metabolic syndrome was assessed using National Cholesterol Education Program-Adult Treatment Panel III criteria.
In total, 291 participants were analyzed, of whom 216 (74.2%) were females. The mean age of the total population was 50.1 (±11) years. The overall prevalence of metabolic syndrome was 27.1% (n=79), with no significant difference between the sexes (female =29.6%, males =20%, P=0.11). A triad of central obesity, low high-density lipoprotein-cholesterol, and elevated blood pressure constituted the largest proportion (38 [13.1%]) of cases of metabolic syndrome, followed by a combination of low high-density lipoprotein, elevated triglycerides, central obesity, and elevated blood pressure, with 17 (5.8%) cases. Independent determinants of metabolic syndrome were antihypertensive use and increased waist circumference.
Metabolic syndrome is highly prevalent in the general medical outpatients clinics. Proactive approaches are needed to screen and manage cases targeting its most important predictors.</description><identifier>ISSN: 1178-7007</identifier><identifier>EISSN: 1178-7007</identifier><identifier>DOI: 10.2147/DMSO.S109007</identifier><identifier>PMID: 27616893</identifier><language>eng</language><publisher>New Zealand: Dove Medical Press Limited</publisher><subject>Ambulatory care ; Antihypertensives ; Blood pressure ; Botswana ; Cholesterol ; Cross-sectional studies ; Determinants ; Forecasts and trends ; General medical outpatient clinics ; Health risk assessment ; Metabolic syndrome ; Metabolic syndrome X ; Obesity ; Original Research ; Prevalence studies (Epidemiology) ; Statistics</subject><ispartof>Diabetes, metabolic syndrome and obesity, 2016-01, Vol.9, p.273-279</ispartof><rights>COPYRIGHT 2016 Dove Medical Press Limited</rights><rights>2016. This work is licensed under https://creativecommons.org/licenses/by-nc/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 Omech et al. This work is published and licensed by Dove Medical Press Limited 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2225903080/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2225903080?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25752,27923,27924,37011,37012,44589,53790,53792,74897</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27616893$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Omech, Bernard</creatorcontrib><creatorcontrib>Tshikuka, Jose-Gaby</creatorcontrib><creatorcontrib>Mwita, Julius C</creatorcontrib><creatorcontrib>Tsima, Billy</creatorcontrib><creatorcontrib>Nkomazana, Oathokwa</creatorcontrib><creatorcontrib>Amone-P'Olak, Kennedy</creatorcontrib><title>Prevalence and determinants of metabolic syndrome: a cross-sectional survey of general medical outpatient clinics using National Cholesterol Education Program-Adult Treatment Panel III criteria in Botswana</title><title>Diabetes, metabolic syndrome and obesity</title><addtitle>Diabetes Metab Syndr Obes</addtitle><description>Low- and middle-income countries, including Botswana, are facing rising prevalence of obesity and obesity-related cardiometabolic complications. Very little information is known about clustering of cardiovascular risk factors in the outpatient setting during routine visits. We aimed to assess the prevalence and identify the determinants of metabolic syndrome among the general outpatients' attendances in Botswana.
A cross-sectional study was conducted from August to October 2014 involving outpatients aged ≥20 years without diagnosis of diabetes mellitus. A precoded questionnaire was used to collect data on participants' sociodemographics, risk factors, and anthropometric indices. Fasting blood samples were drawn and analyzed for glucose and lipid profile. Metabolic syndrome was assessed using National Cholesterol Education Program-Adult Treatment Panel III criteria.
In total, 291 participants were analyzed, of whom 216 (74.2%) were females. The mean age of the total population was 50.1 (±11) years. The overall prevalence of metabolic syndrome was 27.1% (n=79), with no significant difference between the sexes (female =29.6%, males =20%, P=0.11). A triad of central obesity, low high-density lipoprotein-cholesterol, and elevated blood pressure constituted the largest proportion (38 [13.1%]) of cases of metabolic syndrome, followed by a combination of low high-density lipoprotein, elevated triglycerides, central obesity, and elevated blood pressure, with 17 (5.8%) cases. Independent determinants of metabolic syndrome were antihypertensive use and increased waist circumference.
Metabolic syndrome is highly prevalent in the general medical outpatients clinics. Proactive approaches are needed to screen and manage cases targeting its most important predictors.</description><subject>Ambulatory care</subject><subject>Antihypertensives</subject><subject>Blood pressure</subject><subject>Botswana</subject><subject>Cholesterol</subject><subject>Cross-sectional studies</subject><subject>Determinants</subject><subject>Forecasts and trends</subject><subject>General medical outpatient clinics</subject><subject>Health risk assessment</subject><subject>Metabolic syndrome</subject><subject>Metabolic syndrome X</subject><subject>Obesity</subject><subject>Original Research</subject><subject>Prevalence studies (Epidemiology)</subject><subject>Statistics</subject><issn>1178-7007</issn><issn>1178-7007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptUsFuEzEQXSEQrUpvnJElJMQlxfau4zUHpFAKRCq0Ust5NbFnE0deu9jeon4k_4TTBkgQ9mFG4zdvxm-mqp4zesJZI998-HJ1cXLFqKJUPqoOGZPtRBb_8Y5_UB2ntKabI2nD-dPqgMspm7aqPqx-Xka8BYdeIwFviMGMcbAefE4k9GTADIvgrCbpzpsYBnxLgOgYUpok1NkGD46kMd7i3Qa_RI-xRAY0VhcbxnwD2aLPRDvrrU5kTNYvyVfY5p6ugsNUqgZHzsyo7-PkMoZlhGEyM6PL5Doi5GFDcgkeHZnP56UHW5IsEOvJ-5DTD_DwrHrSg0t4vLVH1bePZ9ennyfnF5_mp7PziWlEmydMCqV136MS05ZyQ2tkiBQaDVMlVNtQIxE0NYIKA8IwSSUiSlm3yGql6qNq_sBrAqy7m2gHiHddANvdB0JcdhCz1Q67RS8b02icNmLR1K1utRCsN4ovcAF9Wxeudw9cN-OiqKbLL4uAe6T7L96uumW47QSlbdM0heD1liCG72ORshts0uhckSqMqWMtU4zzWokCffkPdB3GWKaQOs65ULSmLf2LWpbF6KzvQ6mrN6TdTNCaqymXm75P_oMq1-BgdfDY2xLfS3i1k7BCcHmVghs38077wBe7ivyR4vfW1r8AssXyeQ</recordid><startdate>20160101</startdate><enddate>20160101</enddate><creator>Omech, Bernard</creator><creator>Tshikuka, Jose-Gaby</creator><creator>Mwita, Julius C</creator><creator>Tsima, Billy</creator><creator>Nkomazana, Oathokwa</creator><creator>Amone-P'Olak, Kennedy</creator><general>Dove Medical Press Limited</general><general>Taylor & Francis Ltd</general><general>Dove Medical Press</general><scope>NPM</scope><scope>3V.</scope><scope>7RV</scope><scope>7XB</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>KB0</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20160101</creationdate><title>Prevalence and determinants of metabolic syndrome: a cross-sectional survey of general medical outpatient clinics using National Cholesterol Education Program-Adult Treatment Panel III criteria in Botswana</title><author>Omech, Bernard ; Tshikuka, Jose-Gaby ; Mwita, Julius C ; Tsima, Billy ; Nkomazana, Oathokwa ; Amone-P'Olak, Kennedy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d458t-1759ccffe956802d03e1ee0a4ca6959840d7eac0d505da5d1707eee7738e13993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Ambulatory care</topic><topic>Antihypertensives</topic><topic>Blood pressure</topic><topic>Botswana</topic><topic>Cholesterol</topic><topic>Cross-sectional studies</topic><topic>Determinants</topic><topic>Forecasts and trends</topic><topic>General medical outpatient clinics</topic><topic>Health risk assessment</topic><topic>Metabolic syndrome</topic><topic>Metabolic syndrome X</topic><topic>Obesity</topic><topic>Original Research</topic><topic>Prevalence studies (Epidemiology)</topic><topic>Statistics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Omech, Bernard</creatorcontrib><creatorcontrib>Tshikuka, Jose-Gaby</creatorcontrib><creatorcontrib>Mwita, Julius C</creatorcontrib><creatorcontrib>Tsima, Billy</creatorcontrib><creatorcontrib>Nkomazana, Oathokwa</creatorcontrib><creatorcontrib>Amone-P'Olak, Kennedy</creatorcontrib><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</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>Research Library Prep</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content (ProQuest)</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 Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Diabetes, metabolic syndrome and obesity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Omech, Bernard</au><au>Tshikuka, Jose-Gaby</au><au>Mwita, Julius C</au><au>Tsima, Billy</au><au>Nkomazana, Oathokwa</au><au>Amone-P'Olak, Kennedy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prevalence and determinants of metabolic syndrome: a cross-sectional survey of general medical outpatient clinics using National Cholesterol Education Program-Adult Treatment Panel III criteria in Botswana</atitle><jtitle>Diabetes, metabolic syndrome and obesity</jtitle><addtitle>Diabetes Metab Syndr Obes</addtitle><date>2016-01-01</date><risdate>2016</risdate><volume>9</volume><spage>273</spage><epage>279</epage><pages>273-279</pages><issn>1178-7007</issn><eissn>1178-7007</eissn><abstract>Low- and middle-income countries, including Botswana, are facing rising prevalence of obesity and obesity-related cardiometabolic complications. Very little information is known about clustering of cardiovascular risk factors in the outpatient setting during routine visits. We aimed to assess the prevalence and identify the determinants of metabolic syndrome among the general outpatients' attendances in Botswana.
A cross-sectional study was conducted from August to October 2014 involving outpatients aged ≥20 years without diagnosis of diabetes mellitus. A precoded questionnaire was used to collect data on participants' sociodemographics, risk factors, and anthropometric indices. Fasting blood samples were drawn and analyzed for glucose and lipid profile. Metabolic syndrome was assessed using National Cholesterol Education Program-Adult Treatment Panel III criteria.
In total, 291 participants were analyzed, of whom 216 (74.2%) were females. The mean age of the total population was 50.1 (±11) years. The overall prevalence of metabolic syndrome was 27.1% (n=79), with no significant difference between the sexes (female =29.6%, males =20%, P=0.11). A triad of central obesity, low high-density lipoprotein-cholesterol, and elevated blood pressure constituted the largest proportion (38 [13.1%]) of cases of metabolic syndrome, followed by a combination of low high-density lipoprotein, elevated triglycerides, central obesity, and elevated blood pressure, with 17 (5.8%) cases. Independent determinants of metabolic syndrome were antihypertensive use and increased waist circumference.
Metabolic syndrome is highly prevalent in the general medical outpatients clinics. Proactive approaches are needed to screen and manage cases targeting its most important predictors.</abstract><cop>New Zealand</cop><pub>Dove Medical Press Limited</pub><pmid>27616893</pmid><doi>10.2147/DMSO.S109007</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Ambulatory care Antihypertensives Blood pressure Botswana Cholesterol Cross-sectional studies Determinants Forecasts and trends General medical outpatient clinics Health risk assessment Metabolic syndrome Metabolic syndrome X Obesity Original Research Prevalence studies (Epidemiology) Statistics |
title | Prevalence and determinants of metabolic syndrome: a cross-sectional survey of general medical outpatient clinics using National Cholesterol Education Program-Adult Treatment Panel III criteria in Botswana |
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