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Racial/Ethnic- and Education-Related Disparities in the Control of Risk Factors for Cardiovascular Disease Among Individuals With Diabetes. PDF

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Epidemiology/Health Services Research O R I G I N A L A R T I C L E Racial/Ethnic- and Education-Related Disparities in the Control of Risk Factors for Cardiovascular Disease Among Individuals With Diabetes PINKA CHATTERJI, PHD toexperienceaCVDevent(4),andindivid- HEESOO JOO, BBA, BS ualswithdiabeteshaveheartdiseasemor- KAJAL LAHIRI, PHD talityratesthataretwotofourtimesgreater thanthosewithoutdiabetes(6). TopreventCVDandothercomplica- OBJECTIVEdThereislimitedinformationonwhetherrecentimprovementsinthecontrolof tions of diabetes, the American Diabetes cardiovasculardisease(CVD)riskfactorsamongindividualswithdiabeteshavebeenconcen- Association (ADA) in 2009 published tratedinparticularsociodemographicgroups.Thisarticleestimatesracial/ethnic-andeducation- updatedstandardsfordiabetesscreening, related disparities and examines trends in uncontrolled CVD risk factors among adults with diagnosis,andtherapeuticcare(7).These diabetes. The main racial/ethnic comparisons made are with African Americans versus non- guidelines, which reflect new evidence LatinowhitesandMexicanAmericansversusnon-Latinowhites. from epidemiological studies and random- RESEARCHDESIGNANDMETHODSdTheanalysissamplesincludeadultsaged$20 izedcontrolledtrials,includedtargetsforgly- yearsfromtheNationalHealthandNutritionExaminationSurvey(NHANES)1988–1994and cemiccontrol,bloodpressurecontrol,lipid theNHANES1999–2008whoself-reportedhavingdiabetes(n=1,065,NHANES1988–1994; control,andsmoking(7).TheADArecom- n=1,872,NHANES1999–2008).Byuseoflogisticregressionmodels,weexaminedthecorre- mendsthatmostadultswithdiabetesmain- lates of binary indicators measuring 1) high blood glucose, 2) high blood pressure, 3) high tainanHbA (ameasureofbloodglucose) cholesterol,and4)smoking. 1c levelbeloworaround7.0%,bloodpressure RESULTSdControlofbloodglucose,bloodpressure,andcholesterolimprovedamongindi- under130/80mmHg,andLDLcholesterol vidualswithdiabetesbetweentheNHANES1988–1994andtheNHANES1999–2008,butthere under100mg/dL(2.6mmol/L)(7).Allpa- wasnochangeinsmokingprevalence.IntheNHANES1999–2008,racial/ethnicminoritiesand tientswithdiabetesareadvisednottosmoke. individualswithoutsomecollegeeducationweremorelikelytohavepoorlycontrolledblood Inaddition,theNationalCholesterolEduca- glucosecomparedwithnon-Latinowhitesandthosewithsomecollegeeducation.Inaddition, tionProgramAdultTreatmentPanelIIIrec- individualswithdiabeteswhohadatleastsomecollegeeducationwerelesslikelytosmokeand ommends that individuals with diabetes hadbetterbloodpressurecontrolcomparedwithindividualswithdiabeteswithoutatleastsome keeptheirLDLunder100mg/dLandtotal collegeeducation. cholesterolunder200mg/dL(8). CONCLUSIONSdTrends in CVD risk factors among individuals with diabetes improved Giventhatsuccessfulmanagementof over the past 2 decades, but racial/ethnic- and education-related disparities have emerged in diabetes requires a coordinated team of someareas. health care providers (7) and access to health insurance (9), continuity of care DiabetesCare35:305–312,2012 (10), and patient knowledge and self- D managementskills(11),theremaybedif- iabetesisaleadingcauseofmorbidity ~33%($58billion)ofthetotalcostbeing ferences in control of CVD risk factors and mortality in the U.S., and the attributed to treatment of medical com- across sociodemographic groups within prevalence of this disease is rising plications (3). Cardiovascular disease the population of people with diabetes. (1).TheCentersforDiseaseControland (CVD) is a widely documented potential On the basis of data from the National Prevention,basedondatafromtheNational complication of diabetes and a leading HealthandNutritionExaminationSurvey HealthInterviewSurvey,estimatedthatthe cause of mortality among individuals (NHANES)1999–2000,previousresearch- age-adjustedprevalenceofdiagnoseddiabe- with diabetes (4–6). Although rates of ers reported that only 7.3% of those with tesincreasedfrom3.7%in1980to7.7%in CVD events have declined in recent de- diagnosed diabetes achieve all three of the 2008(2).Thetotaldirectandindirectcosts cades among both individuals with and ADA(2009)targetsforcontrolofbloodglu- associatedwithdiabetesintheU.S.were withoutdiabetes,peoplewithdiabetesstill cose, blood pressure, and total cholesterol estimatedtobe$174billionin2007,with aretwiceaslikelyasthosewithoutdiabetes (12). Between the NHANES 1988–1994 and the NHANES 1999–2000, trends in c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c c thecontrolofbloodcholesterolamongin- FromtheDepartmentofEconomics,UniversityatAlbany,StateUniversityofNewYork,Albany,NewYork. dividuals with diagnosed diabetes im- Correspondingauthor:PinkaChatterji,[email protected]. Received26July2011andaccepted31October2011. proved, but there was no change in the DOI:10.2337/dc11-1405 controlofbloodglucoseandbloodpressure Theopinionsexpressedinthisarticlearethoseoftheauthorsanddonotnecessarilyreflecttheviewsofthe levels(12).Poorglycemiccontrolgenerally NationalInstituteonMinorityHealthandHealthDisparitiesortheNationalInstitutesofHealth. ismoreprevalentamongAfricanAmericans ©2012bytheAmericanDiabetesAssociation.Readersmayusethisarticleaslongastheworkisproperly cited,theuseiseducationalandnotforprofit,andtheworkisnotaltered.Seehttp://creativecommons.org/ andMexicanAmericanswithdiabetescom- licenses/by-nc-nd/3.0/fordetails. paredwithnon-Latinowhiteswithdiabetes care.diabetesjournals.org DIABETESCARE,VOLUME35,FEBRUARY2012 305 DisparitiesinCVDriskfactorsindiabeticindividuals (13–15), but these differences have been information are available only for those diagnosed diabetes. When we estimated small in some studies (13) and limited to NHANES respondents who participated the prevalence rates of diagnosed diabetes, certain sex/race-ethnicity subgroups in inthemedicalexaminationportionofthe weusedallrespondentsfromtheNHANES other studies (14). Recent research based survey, which included a blood draw. 1988–1994 and the NHANES 1999–2008 onindividualswithdiabetesinterviewedin Smoking information was obtained from samples who provided a response to this theNHANES1999–2008showsanoverall theinterview. question. trend of improvement in CVD risk factors Thesesamplerestrictionsyielded1,149 Todefinepoorcontrolofbloodglucose and, notably, reductions in the predicted respondents in the NHANES 1988–1994 andbloodpressure,wefollowedtheADA 10-yearriskofcoronaryheartdisease(16), sample and 2,056 respondents in the 2009guidelines.Wedefinedpoorglycemic butsomefindingsshowthatsocioeconomic NHANES 1999–2008 sample. After ex- controlusingabinaryindicatorofhavingan status and racial/ethnic disparities persist cludingrespondentswithmissingsociode- HbA $7%. To define poor blood pres- 1c (14–18). mographic characteristics used in the surecontrol,weusedabinaryindicatorof UsingdatafromtheNHANES1988– analysis,ourfinalanalysissamplesincluded having a systolic blood pressure $130 1994 and the NHANES 1999–2008, we 1,065 respondents from the NHANES mmHg or diastolic blood pressure $80 builtontheseimportantnewresultsby1) 1988–1994 and 1,872 respondents from mmHg.TheNHANES1988–1994medical examiningtrendsintheprevalenceofdi- the NHANES 1999–2008. The main examinationincludedthreereadingsofsys- agnosed diabetes and the sociodemo- racial/ethnic comparisons made were tolicanddiastolicbloodpressure.Forthis graphic characteristics of the diagnosed between African Americans versus non- sample,weusedtheaverageofthesecond diabetic population and 2) testing for Latino whites and Mexican-Americans andthirdreadings.IntheNHANES1999– racial/ethnic- and education-related dis- versus non-Latino whites. Latinos from 2008,threeorfourbloodpressurereadings parities in poorly controlled risk factors countriesoforiginotherthanMexicoare were available for each respondent. Thus, for CVD among individuals with diag- included in the “other” race/ethnicity forthissample,weusedtheaverageofthe noseddiabetes.Giventhemountingbody category. secondandthirdreadingswhentheywere of evidence showing the importance of Theage-andsex-adjustedproportion bothavailable,andweusedtheaverageof controlling CVD risk factors (7) and the ofrespondentswithnonmissinginforma- thethirdandfourthmeasureortheaverage increasing focus on prevention in the tion on control of CVD risk factors de- ofthesecondandfourthmeasureofblood 2010 health care reform law (19), it is creased from 93.7% in the NHANES pressurein193casesubjectsforwhomthe critical to document current trends in 1988–1994 to 81.1% in the NHANES secondorthirdmeasureofbloodpressure the control of CVD risk factors among 1999–2008. We tested for differences in wasmissingandafourthmeasurewasavail- individualswithdiabetesandtoexamine observedcharacteristicsbetweenthosein- able.Wedefinedadichotomousindicator whether any improvements have been cluded in the sample and those excluded of current smoking, which equaled 1 if a concentrated in particular sociodemo- fromthesamplebecauseofmissingdata.In respondentreported“yes”tothequestion, graphicgroups. both the NHANES 1988–1994 and the “Haveyousmokedatleast100cigarettesin NHANES 1999–2008, minority individu- yourentirelife?”anddidnotanswer“notat RESEARCH DESIGN AND als were overrepresented among missing all” to the question, “Do you now smoke METHODS cases.Inaddition,intheNHANES1999– cigarettes...”intheNHANES1999–2008. 2008, those with less than a high-school IntheNHANES1988–1994,wedefineda Study population and analysis education were overrepresented among current smoker as someone who reported samples missingcases.Whenweranaprobitregres- “yes”toboth“Haveyousmokedatleast100 We used two samples, a sample from the sionmodelwith“missingfromsample”as cigarettesduringyourentirelife?”and“Do NHANES 1988–1994 and a sample from the dependent variable, we found that in yousmokecigarettesnow?” the NHANES 1999–2008. The NHANES boththeNHANES1988–1994andinthe To measure lipid control, we used the used a stratified, multistage probability- NHANES1999–2008,theonlystatistically total cholesterol level, which follows the samplingframeandrepresentedthecivilian, significantpredictorofbeingmissingfrom AdultTreatmentPanelIIIguidelines,instead noninstitutionalized U.S. population. The thesamplewasAfricanAmericanrace.We ofLDLcholesterol,assuggestedbytheADA NHANES 1988–1994 interviewed 18,825 emphasize, however, that there is nosta- in 2009, because of the small sample sizes individuals aged $20 years. We limited tistically significant difference in the esti- with available LDL cholesterol information ourNHANES1988–1994sampleto1,503 matedcoefficientonAfricanAmericanrace intheNHANES(n=335intheNHANES of these respondents who reported having in the NHANES 1988–1994 versus the 1988–1994,n=785intheNHANES1999– been diagnosed with diabetes. In the NHANES1999–2008,suggestingthatthe 2008).Thesmallsamplesizesresultedfrom NHANES 1999–2008, 26,246 individuals possiblebiasresultingfromexcludingob- theLDLcholesterolmeasurementonlybe- aged $20 years were interviewed, and we servations with incomplete information is ingavailableforthosewhowereassigneda limitedourNHANES1999–2008sampleto likelytobeminimal. NHANES medical examination scheduled 2,802 of these respondents who reported inthemorning.Weusedabinaryindicator having been diagnosed with diabetes. Definitions and measures for total cholesterol of $200 mg/dL as an Amongthosewhoreportedhavingdiabetes, We considered an individual to have di- indicatorforpoorlipidcontrol. we further limited NHANES 1988–1994 agnoseddiabetesifheorsheanswered“yes” andNHANES1999–2008samplestothose to the interview question, “Have you ever Analyses who had information regarding all four beentoldbyadoctororhealthprofessional Initially,weexaminedtrendsintheprev- CVD risk factors (blood glucose, blood that you have diabetes or sugar diabetes?” alence of diagnosed diabetes and the pressure, lipids, and current smoking). We did not consider respondents who re- sociodemographiccharacteristicsofthedi- Blood glucose, blood pressure, and lipid ported having gestational diabetes to have agnosed diabetic populations in the 306 DIABETESCARE,VOLUME35,FEBRUARY2012 care.diabetesjournals.org Chatterji,Joo,andLahiri NHANES 1988–1994 and the NHANES between the NHANES 1988–1994 and usingStatasoftware,version11.1(StataCorp, 1999–2008 samples. We reported age- theNHANES1999–2008(Table3)(20). CollegeStation,TX). andsex-adjustedaswellasunadjustedprev- Weusedlogisticmodelsestimatedwith alenceratesofdiagnoseddiabetes(Table1). surveyweightstotestforracial/ethnic-and RESULTS Standardizationwasbasedonthe2000U.S. education-relateddisparitiesinpoorlycon- Census population, using sex and age trolledriskfactorsforCVDamongindivid- Trends in diagnosed diabetes and (5-year agecategoriesforthoseaged20– ualswithdiagnoseddiabetes(Table4).The characteristics of the population 79 years and a category for those aged modelsincludedcontrolsforrace/ethnicity with diagnosed diabetes $80 years). We then examined sample (African American, Mexican American, Asothershavereported(2,21),theprev- characteristics of the population with other race/ethnicity versus non-Latino alence of diagnosed diabetes has in- diagnosed diabetes in the NHANES whites), age categories (5-year age catego- creased appreciably over time (Table 1). 1988–1994andtheNHANES1999–2008 riesforthoseaged20–79yearsandacate- The age- and sex-standardized preva- (Table 2) and, in Table 3, estimated the goryforthoseaged$80years),sex(female lence rate of diagnosed diabetes in the rates of poor control of CVD risk factors vs. male), marital status (married vs. not NHANES1999–2008was7.4%,whereas in the NHANES 1988–1994 and the married), years since diagnosis of diabetes it was 5.3% in the NHANES 1988–1994 NHANES 1999–2008 samples and by (2–5,6–10,11–15,and$16yearsvs.0–1 (P , 0.001). The unadjusted prevalence racial/ethnic and education groups. In years), obesity (BMI 25–29 kg/m2 [over- ofdiagnoseddiabetesshowsthesamepat- Tables 2–3, the NHANES 1988–1994 weight], BMI $30 kg/m2 [obese] vs. BMI tern, increasing from 5.1% in the percentageswerestandardizedaccording ,25 kg/m2 [normal]), access to routine NHANES 1988–1994 to 7.5% in the to the NHANES 1999–2008 population care (has routine access vs. does not have NHANES1999–2008(P,0.001),which of individuals with diagnosed diabetes, routineaccess),healthinsurancetype(pub- isconsistentwithpreviousresearch(22). using age-sex groups and their corre- lic,publicandprivate,oruninsuredvs.pri- Between the NHANES 1988–1994 and spondingweights(12).Wecomparedthe vate only), and indicators for survey year. the NHANES 1999–2008, the incidence rates of poor control of CVD risk factors All analyses in this article were performed of diabetes (diagnosed and undiagnosed) increased from 7.9 to 10.1% (results not shown).Wefoundthatamongthosewith Table1dPrevalenceratesof diagnoseddiabetesamongadultsaged ‡20years diabetes (diagnosed and undiagnosed), therateofundiagnoseddiabetesdecreased NHANES NHANES P(NHANES1988–1994vs.NHANES from 38.2 to 28.4% (results not shown), 1988–1994 1999–2008 1999–2008) suggesting that diagnosis has improved overtime. n 16,552 24,674 d Oneofthemostsignificantchangesin Unadjusteddiagnosed thecharacteristicsofthepopulationwith diabetes 5.1(0.26) 7.5(0.26) ,0.001 diagnoseddiabetesbetweentheNHANES Race 1988–1994 and the NHANES 1999– Non-Latinowhite 4.9(0.35) 6.7(0.32) ,0.001 2008 is the race/ethnicity distribution. AfricanAmerican 6.9(0.43)* 11.5(0.49)* ,0.001 Table2shows theincreases overtime in MexicanAmerican 5.5(0.32) 7.3(0.37) ,0.001 the proportions of Mexican Americans Education (from5.9to8.0%,P=0.10)andindivid- Lessthanhigh ualsfromthe“other”race/ethnicitygroup Ć school 8.5(0.49) 12.1(0.44) ,0.001 (from 6.0 to 12.2%, P = 0.002) in the High-school population with diagnosed diabetes, Ć graduate 4.8(0.43)* 7.6(0.44)* ,0.001 whereas the proportion of non-Latino Morethanhigh whites declined (from 73.6 to 65.3%, Ć school 3.2(0.35)* 5.8(0.31)* ,0.001 P=0.009).ForAfricanAmericans,there Standardizeddiagnosed is no statistically significant change be- diabetes 5.3(0.23) 7.4(0.25) ,0.001 tween the NHANES 1988–1994 and the Race NHANES1999–2008(Table2). Non-Latinowhite 4.9(0.30) 6.1(0.29) 0.004 Theagedistributionofthepopulation AfricanAmerican 8.4(0.44)* 12.6(0.44)* ,0.001 with diagnosed diabetes also changed be- MexicanAmerican 9.8(0.51)* 11.6(0.45)* 0.008 tween the NHANES 1988–1994 and the Education NHANES 1999–2008 (Table 2). The pro- Lessthanhigh portion of middle-aged individuals in- Ć school 7.4(0.45) 10.7(0.38) ,0.001 creasedovertime(aged40–59years,from High-school 34.5to41.6%,P=0.01),whereasthepro- Ć graduate 5.4(0.42)* 7.2(0.41)* 0.002 portion of elderly individuals declined Morethanhigh (aged$60years,from55.6to49.5%,P= Ć school 3.9(0.32)* 6.0(0.32)* ,0.001 0.03).Thistrendmayhaveresultedfroman Dataare%(SE).Theage-andsex-adjustedratesfordiagnoseddiabetesareadjustedusingdatafromthe2000 earlierdiagnosisofdiabetesand/oranearlier U.S.Census.ThePvaluesarederivedfromtteststhatdeterminewhethertheratesdifferbetweenNHANES onset of diabetes in recent years. In fact, 1988–1994andNHANES1999–2008.The“other”race/ethniccategoryisnotshown.*Thedifferencebe- wefound that mean ageatthe time of di- tweenthereferencegroup(non-Latinowhiteforraceandlessthanhighschoolforeducation)andeachraceor educationgroupwithinthesameperiodisstatisticallysignificantwithP,0.05. abetesdiagnosisishigherintheNHANES care.diabetesjournals.org DIABETESCARE,VOLUME35,FEBRUARY2012 307 DisparitiesinCVDriskfactorsindiabeticindividuals Table2dSamplecharacteristics ofadultswithdiagnoseddiabetes Trends in poor control of CVD risk factors NHANES NHANES P(NHANES1988–1994vs. OurfindingssuggestthatcontrolofCVD 1988–1994 1999–2008 NHANES1999–2008) risk factors among individuals with di- agnoseddiabeteshasimprovedmarkedly N 1,065 1,872 overthepasttwodecades(Table3).The Race percentage of those with diagnosed dia- Non-Latinowhite 73.6(2.08) 65.3(2.35) 0.009 betes not achieving glycemic control AfricanAmerican 14.6(1.46) 14.6(1.38) 0.99 (HbA .7%)was50.0%intheNHANES 1c MexicanAmerican 5.9(0.73) 8.0(1.04) 0.10 1999–2008, an improvement from the Otherrace/ethnicity 6.0(1.23) 12.2(1.56) 0.002 NHANES 1988–1994, when 57.7% of Sex(female) 54.1(2.48) 50.7(1.58) 0.25 people with diagnosed diabetes did not Age(years) meetthistarget(P=0.008).Thepercent- 20–39 9.9(2.08) 8.9(0.92) 0.65 age of individuals with diagnosed diabe- 40–59 34.5(2.21) 41.6(1.43) 0.01 tes who do not achieve blood pressure $60 55.6(2.42) 49.5(1.47) 0.03 control ($130/80 mmHg) decreased Married 65.5(1.90) 60.8(1.44) 0.05 from60.8%intheNHANES1988–1994 Education to 53.5% in the NHANES 1999–2008 Lessthanhighschool 41.9(2.94) 29.9(1.22) ,0.001 (P = 0.01). The percentage of people High-schoolgraduate 30.9(2.08) 25.8(1.37) 0.04 with diagnosed diabetes who did not Morethanhighschool 27.1(2.80) 44.4(1.56) ,0.001 have total cholesterol ,200 mg/dL also Yearssincediabeteswas significantly fell from 67.1% in the diagnosed NHANES 1988–1994 to 41.3% in the 0–1 17.6(1.58) 14.3(1.17) 0.10 NHANES 1999–2008. Rates of current 2–5 29.6(1.90) 26.6(1.38) 0.20 smoking among individuals with diag- 6–10 18.5(1.23) 21.7(1.23) 0.07 noseddiabetes,however,didnotchange 11–15 15.3(1.82) 14.5(1.06) 0.70 between the NHANES 1988–1994 $16 19.0(1.86) 22.9(1.19) 0.08 (17.5%) and the NHANES 1999–2008 BMI(kg/m2) (18.1%,P=0.81). 25–29(overweight) 38.1(2.40) 29.4(1.44) 0.002 Ofnote,ouranalysesshowatrendof $30(obese) 43.2(2.60) 54.8(1.66) ,0.001 improvement not only in the control of Routineplaceformedical eachriskfactorindividuallybutalsointhe care 96.4(0.81) 97.8(0.35) 0.11 number of controlled risk factors. In the Privateinsuranceonly 41.2(2.13) 40.3(1.41) 0.70 NHANES1988–1994,only5.2%ofthose Publicinsuranceonly 19.7(1.87) 27.1(1.26) 0.001 withdiagnoseddiabeteshadcontrolofall Privateandpublic ofthefourriskfactorsweexamined.Inthe insurance 31.3(1.52) 20.9(1.06) ,0.001 NHANES1999–2008,however,13.6%of Noinsurance 7.8(1.11) 11.7(0.96) 0.009 individuals with diagnosed diabetes had Dataare%(SE).SamplestatisticsintheNHANES1988–1994arestandardizedbyage-sexadjustingtothe controlofallfourriskfactors(P,0.001) NHANES 1999–2008 diagnosed diabetes sample. The P values are derived from t tests that determine (results not shown). In addition, the per- whethertheratesdifferbetweentheNHANES1988–1994andtheNHANES1999–2008.Thistablepresents centageofpeoplewithdiagnoseddiabetes broadagecategories,butintheregressionanalysesandintheage/sexstandardizationoffiguresweused whohadcontrolofthreeoffourriskfactors 5-yearageintervalsuptoage79years. increasedfrom24.1to31.0%(P=0.003) betweentheNHANES1988–1994andthe 1988–1994 than in the NHANES 1999– increasinglevelofeducationinthepop- NHANES1999–2008.Nevertheless,inthe 2008 (aged 49.3 vs. 46.8 years, P , ulationasawhole.BetweentheNHANES NHANES1999–2008,morethanone-half 0.001), and the number of years since 1988–1994andtheNHANES1999–2008, ofthepopulationwithdiagnoseddiabetes diabeteswasdiagnosedwas9.1yearsin the age- and sex-standardized percentage (54.4%) still had more than two uncon- the NHANES 1988–1994 versus 11.4 ofNHANES respondents aged$20 years trolledriskfactors(resultsnotshown). years in the NHANES 1999–2008 (P , withatleastsomepostsecondaryeducation 0.001). rose from 27.1% in the NHANES 1988– Racial/ethnic- and education-related In addition, the education profile of 1994 to 44.4% in the NHANES 1999– disparities in poor control individuals with diagnosed diabetes 2008(P,0.001).Finally,thepopulation of CVD risk factors changedremarkablybetweentheNHANES with diagnosed diabetes has become In the NHANES 1988–1994, there were 1988–1994andtheNHANES1999–2008 moreobeseovertime,withobesitylevels nostatisticallysignificantracial/ethnicor (Table 2). The proportion of high-school increasing from 43.2% in the NHANES education-related disparities in glycemic dropoutsamongindividualswithdiagnosed 1988–1994 to 54.8% in the NHANES control among individuals with diag- diabetes decreased from 41.9 to 29.9% 1999–2008 (P , 0.001). The percentage nosed diabetes, although some of the (P=0.001),whereasthepercentagewith of people who were either obese or over- CIswerewide(Table4,Bloodglucosecol- some postsecondary education increased weightalsoincreasedbetweentheNHANES umn).IntheNHANES1999–2008,how- from27.1to44.4%(P,0.001).Tosome 1988–1994 (81.3%) and the NHANES ever, we found that African Americans extent, this change resulted from an 1999–2008(84.2%). and Mexican Americans with diagnosed 308 DIABETESCARE,VOLUME35,FEBRUARY2012 care.diabetesjournals.org Chatterji,Joo,andLahiri Table3dPoorcontrolofrisk factorsamongadultswithdiagnoseddiabetes quality-of-care mechanisms of disparities, specifically whether the respondent had NHANES NHANES P(NHANES1988–1994vs. seen a diabetes specialist in the past year, 1988–1994 1999–2008 NHANES1999–2008) whethertherespondentusuallysawapar- ticulardoctorfordiabetes,andwhetherthe Poorglycemiccontrol(HbA respondentcheckedhisorherownblood 1c $7%) 57.7(2.27) 50.0(1.76) 0.008 glucoselevel.Theseadditionalvariablesare Race available in the latest two waves of the Non-Latinowhite 56.0(3.04) 46.7(2.42) 0.02 NHANES only. After these covariates AfricanAmerican 62.3(3.05) 55.5(2.30)* 0.08 were included, both racial/ethnic-related MexicanAmerican 63.3(2.46) 55.7(1.82)* 0.02 disparities and education-related dispari- Education tieswerenotchangedappreciably,suggest- Lessthanhighschool 55.1(2.67) 56.1(2.62) 0.79 ingthatthesemechanisms(iftheyindeed High-schoolgraduate 62.5(3.62) 48.9(3.52) 0.008 werecapturingqualityofcare)didnotex- Morethanhighschool 56.6(4.20) 45.4(2.42)* 0.02 plainthedisparitiesweobservedinrecent Poorbloodpressurecontrol years.However,weinterpretedthesefind- ($130/80mmHg) 60.8(2.16) 53.5(1.79) 0.01 ings with caution because the additional Race covariates included may have captured Non-Latinowhite 60.3(2.94) 51.2(2.60) 0.02 theseverityofdiseaseinsteadoforinaddi- AfricanAmerican 70.1(2.56)* 59.1(2.31)* 0.002 tion to quality of care. In that case, there MexicanAmerican 59.6(2.42) 50.7(2.54) 0.01 mayhavebeenareverse-causalityproblem, Education withpoorcontrolofdiabetesdrivingsever- Lessthanhighschool 66.8(2.71) 58.0(2.43) 0.02 ityinsteadoftheotherwayaround. High-schoolgraduate 60.1(3.24) 56.9(3.09) 0.48 We did not find racial/ethnic differ- Morethanhighschool 56.5(3.51)* 47.2(2.78)* 0.04 ences in blood pressure control among Poortotalcholesterolcontrol individuals with diagnosed diabetes in ($200mg/dL) 67.1(1.89) 41.3(1.54) ,0.001 either the NHANES 1988–1994 or the Race NHANES 1999–2008 (Table 4, Blood Non-Latinowhite 70.4(2.35) 40.9(2.23) ,0.001 pressure column). Individuals with diag- AfricanAmerican 66.5(3.44) 40.6(2.17) ,0.001 nosed diabetes who had some postsec- MexicanAmerican 60.9(3.54)* 44.8(2.23) ,0.001 ondary education were less likely than Education those without postsecondary education Lessthanhighschool 68.6(2.25) 44.4(2.61) ,0.001 to be in poor control of blood pressure, High-schoolgraduate 62.3(2.92) 40.6(2.79) ,0.001 butthisassociationwasstatisticallysignif- Morethanhighschool 76.3(2.50)* 40.3(2.40) ,0.001 icant only in the NHANES 1999–2008 Currentsmoking 17.5(2.20) 18.1(1.00) 0.81 data. There were no racial/ethnic dispar- Race ities in total cholesterol control among Non-Latinowhite 16.6(2.94) 18.1(1.58) 0.65 individuals with diagnosed diabetes in AfricanAmerican 22.4(2.31) 21.8(2.30) 0.86 either the NHANES 1988–1994 or the MexicanAmerican 19.4(2.38) 17.4(1.41) 0.47 NHANES1999–2008(Table4,Totalcho- Education lesterolcolumn).Theassociationbetween Lessthanhighschool 16.1(2.97) 22.2(2.07) 0.09 postsecondary education and control of High-schoolgraduate 23.1(3.00) 21.8(2.14) 0.73 cholesterol approached statistical signifi- Morethanhighschool 11.3(2.29) 14.2(1.40)* 0.29 canceintheNHANES1988–1994butes- sentially disappeared by the NHANES Dataare%(SE).SeenotestoTables1and2.FiguresstandardizedusingmethoddescribedinTable2.The “other”racial/ethniccategoryisnotshown.*Thedifferencebetweenthereferencegroup(non-Latinowhite 1999–2008.Inthecaseofsmoking,post- forraceandlessthanhighschoolforeducation)andeachraceoreducationgroupwithinthesameperiodis secondaryeducationandMexicanAmerican statisticallysignificantwithP,0.05. ethnicitywereassociatedwithalowerrisk of smoking in the NHANES 1999–2008 diabeteswere~50%morelikelythannon- population of individuals with diagnosed (Table 4, Current smoking column; Mexi- Latinowhiteswithdiagnoseddiabetestobe diabetesatlarge,theseimprovementsmay canAmericanvs.non-Latinowhites:odds inpoorglycemiccontrol(AfricanAmerican havebeen,tosomeextent,concentrated ratio0.66[95%CI=0.44–0.97];postsec- vs.non-Mexicanwhite:oddsratio1.52 amongnon-Latinowhiteandmore-educated ondary education vs. no postsecondary [95% CI 1.14–2.03]; Mexican vs. non- individuals,suchthatnewhealthdispar- education: 0.63 [0.42–0.95]). We did Mexicanwhite:1.53[1.15–2.04]).Also,in itieshaveemerged. notfindtheseoddsratiosintheNHANES the NHANES 1999–2008, we found that These racial/ethnic- and education- 1988–1994;surprisingly,having12years individuals with postsecondary education relateddisparitiesinglycemiccontrolper- ofeducation (comparedwith ,12 years) werelesslikelytobeinpoorglycemiccon- sisted when we limited the sample to the isassociatedwithahigherriskofsmoking trolcomparedwiththosewithoutpostsec- most recent two waves of the NHANES intheNHANES1988–1994,althoughthe ondary education (0.65 [0.48–0.89]). In (2005–2006and2007–2008)(resultsnot CIisverywideforthisestimate(Table4, summary,ourresultsindicatethatalthough shown).Inthesemodels,wetriedinclud- Current smoking column; 2.34 [1.12– glycemic control has improved in the ing covariates that may have captured 4.87]). care.diabetesjournals.org DIABETESCARE,VOLUME35,FEBRUARY2012 309 DisparitiesinCVDriskfactorsindiabeticindividuals Currentsmoking NHANESNHANES––988199419992008 1.001.00––(0.803.04)1.08(0.731.60)––(0.612.29)0.66(0.440.97)* 1.001.00––(1.124.87)*1.03(0.661.61)––(0.412.15)0.63(0.420.95)* hnicityandeducationareshown.Theear.Otherracial/ethnicminoritiesand–orNHANES19992008).Samplesizehschoolforeducation)andeachrace/ ciwtaAdNsrnheiobitfoHdsseirneuvpriitAtkvclTilearittiaNksroyhssdniheltueEiocilonaeioSAhmnhwlsfse1mtoosichdCw9ondkeeei8dVisd,retu8pihDNluwcnos–acdafHdr1eiarniinih9titaAaiseig9aoegTvkxNnv4snnsaaioE.-fobnm(wars2Sslgenceeiee3lndtoar1duo)4eetn.d9nreddT-sfid9daaoLihf9awbiodcafaub–eeuntihgscesti2slnenep,tty0seetoaoaoh.d0ssrsanRei2emiwatrniedipfecshoaoosetewdninhuonnitidngeeerr--t d––Table4PoorlycontrolledCVDriskfactorsamongadultswithdiagnoseddiabetesinNHANES19881994andNHANES19992008 BloodpressureTotalcholesterolBloodglucose$$$7%)(130/80mmHg)(200mg/dL)(HbA1c NHANESNHANESNHANESNHANESNHANESNHANES––––––1988199419992008198819941999200819881994199920081 RaceNon-Latinowhite(reference)1.001.001.001.001.001.00––––––AfricanAmerican1.25(0.831.87)1.52(1.142.03)*1.37(0.832.24)1.33(0.991.79)0.83(0.561.23)0.90(0.701.16)1.56––––––MexicanAmerican1.38(0.932.06)1.53(1.152.04)*0.76(0.481.18)0.80(0.551.15)0.72(0.461.12)0.92(0.681.26)1.18EducationLessthanhighschool(reference)1.001.001.001.001.001.00––––––High-schoolgraduate1.44(0.882.37)0.75(0.521.09)0.79(0.521.22)0.97(0.661.43)0.81(0.491.33)1.00(0.701.42)2.34––––––Morethanhighschool1.01(0.641.60)0.65(0.480.89)*0.71(0.391.30)0.65(0.480.87)*1.59(1.022.49)*1.04(0.761.42)0.94 Dataareoddsratio(95%CI)fromlogisticmodelsinwhichadichotomousindicatorofpoorcontrolofariskfactoristhedependentvariable.Onlyoddsratiosrelatedtorace/etmodelsalsoincludecontrolsforage,sex,maritalstatus,yearssincediagnosisofdiabetes,obesity,iftherespondenthadaroutineplaceformedicalcare,insurancetype,andsurveyy–LatinoswhoarenotofMexicanoriginwereincludedinthenon-Latinowhitereferencegroupbecauseofsmallnumberofobservations(=33forNHANES19881994and=184fnn––is=1,065forNHANES19881994and=1,872forNHANES19992008.*Thedifferencebetweenthereferencegroup(non-Latinowhiteforrace/ethnicityandlessthanhignnfi,ethnicityoreducationgroupwithinsameperiodisstatisticallysignicantwith0.05.P ltga(ipaaPraN1(CwmbaurwaCcmiTtnncnwrcNtIagm1IepN1ednoirne2neaemmloodrrotmlr9e9yiorvo9oaheaeOVhyieHHhfiHsecegdeiameo4ennontdel8nt9scsons9eu1cnaiaooatnhfpsctvhnuD)eusepestia,AAtei8Aa-9aehrNactsO9sl.3annncretgrtxiolLiddpltldllcmeb–,i–widisoNNenceod/TetnN,–sledleggancsnoaerestusaC1,l2-l1etlnieramt,ho2otisiiHoixtiEEntirieaEcsri2rv9piatscn0niotmh2nlhhegLcmefnenn0ocdpgnwehla,hSSak,ciieS09C0eorrhd,eaxsondenddcdUnolts0rroipelaaoorer24atttelc8prap1aeiwieueeVis1uediofllhe,f8p1vnrocpdonv0wlstdta,stapSu9eostdr9adaDosp/ihhtfierr.eai9hdrllineogrucfreautdohrnde9nbld.ehdae8uIvnesaabyeeohsiloINee8ttftgdoalujec3suce9ddc,mOiaivut8enhnrctolstbeewwtswcn8ctnafieoeao8w–nHmPiaocsseia–cmtenpracohjtodaondt–nomunclNhpeai%lilr2chetrdsla1igiaasstfdAitnsdikiegaecn/dos1sodcor)hnorh0hauemvisrn9bepidbn.stde,etuunoiSNwndpb9niisldgoe0sarintboo9eesNr,tndletiultppvodrgoheseel-ni9ioehaledi8mTEitseglfss4ecissaeeerndttaokgltowiHlbsnnerd4atm.tsihaaStaetifidenssrpderieogeaeoorodtehr2iigtbbIfasiltenAtndiiAretflencs1tvaneiotiiakdfnednoniaen0eiileoionagendtoNdttcnsewitece9rrfiittbnitrg2,delsdonerlptfinthohadancusTiecaib8atiE4ibiesninttpd0asettgcsrchgsalcvlnetstecmlah.hlt8tthu.htllSeeoghnae,oihnraoaosmeaaelhbeohdddii(e–assTeldBvsaeesninfltnoncontoest17ole.sseyiategi1pievrohiehsee,tnwsstidudcmro,9,cnddd.reainlWneo9Ate2uopNeereiaogNNgso4ornh9Twglsiuaodemddei9io5en,lenamdmpnwpknw,oit9sbnHoeheHlHHwfiuimger4or,uhtiittrnrcinfvot–2dewfipiesaeiepesfnrrocefeArrnenoeloAArtsidgaolir2p.bn6oorisrncyeoaardsipyscemtroarsetdcnbgilNeieorNN0a)hloerussrceateOlcyelluvrvmti.juotssniuiuttttt0mieilsfivaoaeeefapecrirEnooEEeeahilihahheuvtddIcxinovsrsvrggaeoe8tceertslsrinndlnolSSSyyeeeeeeeeeessrr--------------f//.,.ll. 310 DIABETESCARE,VOLUME35,FEBRUARY2012 care.diabetesjournals.org Chatterji,Joo,andLahiri However, in the case of glycemic con- diabetestreatmentcomparedwithindivid- 3. AmericanDiabetesAssociation.Economic trol,improvementsovertimemayhavebeen ualswithdiabeteswhoarelesseducated.In costsofdiabetesintheU.S.In2007.Di- drivenbyimprovementsamongmoreedu- our sample limited to the 2005–2008 abetesCare2008;31:596–615 catedindividualswithdiabetesand,tosome NHANES, 44% of individuals with diag- 4. FoxCS,CoadyS,SorliePD,etal.Trendsin cardiovascular complications of diabetes. extent,byimprovementsamongnon-Latino nosed diabetes with more than a high- JAMA2004;292:2495–2499 whites.Ratesofpoorglycemiccontrolfellby schooleducationreportedthattheirdoctor 5. Buse JB, Ginsberg HN, Bakris GL, et al.; 20%amongthosewith.12yearsofeduca- recommendedthattheymaintainanHbA 1c American Heart Association; American tionbetweentheNHANES1988–1994and ,7% (the recommended level), whereas DiabetesAssociation.Primaryprevention theNHANES1999–2008,butratesofgly- only12% ofrespondents withless thana ofcardiovasculardiseasesinpeoplewith cemic control remained stable during this high-school education reported that their diabetes mellitus: a scientific statement time period among those with less than a doctors recommended this level. There fromtheAmericanHeartAssociationand high-schooleducation.Resultsfromourre- alsoisevidencethatpeoplewhoaremore the American Diabetes Association. Cir- gression analysis, which includes controls educatedadoptmedicaltechnologiesmore culation2007;115:114–126 foranumberofconfoundingfactors,suggest rapidlythanpeoplewhoarelesseducated 6. Centers for Disease Control and Pre- vention.NationalDiabetesFactSheet:Na- thatAfricanAmericansandMexicanAmer- (28). Third, culture and language may tionalEstimatesandGeneralInformationon icans with diagnosed diabetes in the playaroleindiabetesmanagementpracti- NHANES1999–2008were50%morelikely ces, andthese factors may underlie racial/ Diabetes and Prediabetes in the United States, 2011. Atlanta, GA, U.S. Depart- tohavepoorglycemiccontrolthannon- ethnicdisparitiesinoutcomes(11). ment of Health and Human Services, Latinowhiteswithdiagnoseddiabetes. Although the mechanisms through Centers for Disease Control and Pre- Moreover,intheNHANES1999–2008, whichsociodemographiccharacteristicsaf- vention,2011 individuals with diabetes who had at least fect control of CVD risk factors are un- 7. AmericanDiabetesAssociation.Standards some college education were less likely to clear,ourfindingsunderscoretheneedto ofmedicalcareindiabetes:2009.Diabetes haveuncontrolledbloodpressurethanthose remediate these emerging racial/ethnic- Care2009;32(Suppl.1):S13–S61 without any college education, controlling andeducation-relateddisparitiesinthisarea 8. NationalCholesterolEducationProgram. forotherfactors.Thisassociationexistedin ofhealthcare.Moreover,althoughourfind- Third Report of the National Cholesterol theNHANES1988–1994aswell,butitwas ings show marked improvements in the EducationProgram(NCEP)ExpertPanelon notstatisticallysignificant.Italsoisnotable controlofCVDriskfactorsamongindivid- Detection,Evaluation,andTreatmentofHigh BloodCholesterolinAdults(AdultTreatment that smoking rates amongindividuals with ualswithdiabetes,italsoistruethatonlya Panel III) Final Report. Washington, DC, diagnoseddiabeteshavenotimprovedover small group (13.6%) of individuals with U.S. Govt. Printing Office, 2002 (NIH timeandremainhighinsomesubgroups;in diagnoseddiabetesintheNHANES1999– publ.no.02-5215) theNHANES1999–2008,22%ofindividu- 2008hadcontrolofallfourCVDriskfactors 9. Zhang JX, Huang ES, Drum ML, et al. alswithdiagnoseddiabeteswithoutahigh- we examined. Continued public health ef- Insurance status and quality of diabetes schooleducationwerecurrentsmokers.This forts need to be made to address the large care in community health centers. Am J high rate of smoking among the least edu- majorityofindividualswithdiagnoseddia- PublicHealth2009;99:742–747 catedindividualswithdiabetesisconsistent beteswithuncontrolledriskfactorsforCVD. 10. Mainous AG 3rdKoopman RJ, Gill JM, Baker R, Pearson WS. Relationship be- withotherdata(27). In summary, our findings show that AcknowledgmentsdThis research was sup- tcwoneetrnol:ceovnitdinenuciteyfroofmctahreeTahnirddNdiaatbioenteasl important progress has been made in re- ported by the National Institute on Minority Health and Nutrition Examination Sur- ducingCVDriskfactorsamongindividuals HealthandHealthDisparities,NationalInstitutes vey.AmJPublicHealth2004;94:66–70 with diagnosed diabetes overthe past de- ofHealth(grantno.1-P20-MD-003373). 11. TwoFeathersJ,KiefferEC,PalmisanoG, cade,butthisprogress,insomecases,has Nopotentialconflictsofinterestrelevantto et al. Racial and Ethnic Approaches to been uneven across sociodemographic thisarticlewerereported. Community Health (REACH) Detroit groups. There are several potential reasons P.C.,H.J.,andK.L.contributedtothedata partnership: improving diabetes-related whyimprovementsinglycemiccontrolmay analysis, interpretation of findings, and writ- outcomes among African American and have been concentrated among non-Latino ingofthemanuscriptandaretheguarantorsof Latino adults. Am J Public Health 2005; thearticle. 95:1552–1560 whiteandmoreeducatedpopulations.First, Parts of this study were presented at the 12. Saydah SH, Fradkin J, Cowie CC. Poor some groups may have better access than AcademyHealth Annual Research Meeting, controlofriskfactorsforvasculardisease other groups to the type of integrated, Seattle, Washington, 11–14 June 2001, and among adults with previously diagnosed comprehensivemedicalcarethatindivid- atthe139th AnnualMeetingand Exposition diabetes.JAMA2004;291:335–342 uals with diabetes need in order to suc- of the American Public Health Association, 13. HarrisMI.Racialandethnicdifferencesin cessfullymanagetheirillness.Althoughwe Washington, DC, 29 October–2 November healthcareaccessandhealthoutcomesfor adjustedforinsurancestatusandaccess to 2011. adultswithtype2diabetes.DiabetesCare routinecareinourmainregressionmodels, 2001;24:454–459 aswellasexperimentedwithmodelsbased 14. HarrisMI,EastmanRC,CowieCC,Flegal onthelatesttwowavesoftheNHANESthat References KM, Eberhardt MS. Racial and ethnic 1. EngelgauMM,GeissLS,SaaddineJB,etal. differences in glycemic control of adults included more extensive covariates, there TheevolvingdiabetesburdenintheUnited withtype2diabetes.DiabetesCare1999; stillmayexistunmeasuredaspectsofquality States.AnnInternMed2004;140:945–950 22:403–408 and access that are correlated with race/ 2. Centers for Disease Control and Pre- 15. Saydah S, Cowie C, Eberhardt MS, De ethnicityandeducation.Second,individ- vention.Dataandtrends[articleonline], RekeneireN,NarayanKM.Raceandethnic ualswithdiabeteswhoaremoreeducated 2011. Available from http://www.cdc. differences in glycemic control among may have been better able to obtain and gov/diabetes/statistics/prev/national/ adults with diagnosed diabetes in the understand new information related to figageadult.htm.Accessed23March2011 UnitedStates.EthnDis2007;17:529–535 care.diabetesjournals.org DIABETESCARE,VOLUME35,FEBRUARY2012 311 DisparitiesinCVDriskfactorsindiabeticindividuals 16. FordES.Trends intheriskforcoronary 20. HeeringaSG,WestBT,BerglundPA.Com- 25. Stamler J, Vaccaro O, Neaton JD, heart disease among adults with diag- paring means over time. 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