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[journal article]

dc.contributor.authorMerkel, Lenade
dc.contributor.authorTeufel, Felixde
dc.contributor.authorMalta, Deborah Carvalhode
dc.contributor.authorTheilmann, Michaelade
dc.contributor.authorMarcus, Maja-Emiliade
dc.contributor.authorFlood, Davidde
dc.contributor.authorGeldsetzer, Pascalde
dc.contributor.authorManne-Goehler, Jenniferde
dc.contributor.authorPetrak, Frankde
dc.contributor.authorVollmer, Sebastiande
dc.contributor.authorDavies, Justinede
dc.date.accessioned2024-11-20T10:52:46Z
dc.date.available2024-11-20T10:52:46Z
dc.date.issued2024de
dc.identifier.issn1935-5548de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/97982
dc.description.abstractThe relationship between depression, diabetes, and access to diabetes care is es- tablished in high-income countries (HICs) but not in middle-income countries (MICs), where contexts and health systems differ and may impact this relation- ship. In this study, we investigate access to diabetes care for individuals with and without depressive symptoms in MICs. We analyzed pooled data from nationally representative household surveys across Brazil, Chile, China, Indonesia, and Mexico. Validated survey tools Center for Epidemio- logic Studies Depression Scale Revised, Composite International Diagnostic Interview, Short Form, and Patient Health Questionnaire identified participants with depressive symptoms. Diabetes, defined per World Health Organization Package of Essential Non- communicable Disease Interventions guidelines, included self-reported medication use and biochemical data. The primary focus was on tracking diabetes care progression through the stages of diagnosis, treatment, and glycemic control. Descriptive and mul- tivariable logistic regression analyses, accounting for gender, age, education, and BMI, examined diabetes prevalence and care continuum progression. The pooled sample included 18,301 individuals aged 50 years and above; 3,309 (18.1%) had diabetes, and 3,934 (21.5%) exhibited depressive symptoms. Diabe- tes prevalence was insignificantly higher among those with depressive symptoms (28.9%) compared with those without (23.8%, P = 0.071). Co-occurrence of diabe- tes and depression was associated with increased odds of diabetes detection (odds ratio [OR] 1.398, P < 0.001) and treatment (OR 1.344, P < 0.001), but not with higher odds of glycemic control (OR 0.913, P = 0.377). In MICs, individuals aged 50 years and older with diabetes and depression showed height- ened diabetes identification and treatment probabilities, unlike patterns seen in HICs. This underscores the unique interplay of these conditions in different income settings.de
dc.languageende
dc.subject.ddcMedizin und Gesundheitde
dc.subject.ddcMedicine and healthen
dc.subject.otherMiddle-Income Countries; Diabetes; Ernährungserziehung; Zugang zu Medikamentende
dc.titleThe Association Between Depressive Symptoms, Access to Diabetes Care, and Glycemic Control in Five Middle-Income Countriesde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalDiabetes Care
dc.source.volume47de
dc.publisher.countryUSAde
dc.source.issue8de
dc.subject.classozMedizin, Sozialmedizinde
dc.subject.classozMedicine, Social Medicineen
dc.subject.thesozBrasiliende
dc.subject.thesozBrazilen
dc.subject.thesozChilede
dc.subject.thesozChileen
dc.subject.thesozChinade
dc.subject.thesozChinaen
dc.subject.thesozIndonesiende
dc.subject.thesozIndonesiaen
dc.subject.thesozMexikode
dc.subject.thesozMexicoen
dc.subject.thesozEinkommende
dc.subject.thesozincomeen
dc.subject.thesozKrankheitde
dc.subject.thesozillnessen
dc.subject.thesozpsychische Krankheitde
dc.subject.thesozmental illnessen
dc.subject.thesozDepressionde
dc.subject.thesozdepressionen
dc.subject.thesozGesundheitswesende
dc.subject.thesozhealth care delivery systemen
dc.subject.thesozernährungsbedingte Krankheitde
dc.subject.thesoznutrition-related illnessen
dc.subject.thesozErnährungde
dc.subject.thesoznutritionen
dc.subject.thesozArzneimittelde
dc.subject.thesozpharmaceuticalen
dc.subject.thesozGesundheitspolitikde
dc.subject.thesozhealth policyen
dc.subject.thesozGesundheitsvorsorgede
dc.subject.thesozhealth careen
dc.subject.thesozGesundheitsschadende
dc.subject.thesozdamage to one's healthen
dc.identifier.urnurn:nbn:de:0168-ssoar-97982-4
dc.rights.licenceCreative Commons - Namensnennung, Nicht-kommerz. 1.0de
dc.rights.licenceCreative Commons - Attribution-NonCommercial 1.0en
ssoar.contributor.institutionGIGAde
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dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1449-1456de
internal.identifier.classoz50100
internal.identifier.journal3198
internal.identifier.document32
internal.identifier.ddc610
dc.identifier.doihttps://doi.org/10.2337/dc23-1507de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
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