Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/114833
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dc.contributor.authorDéniz García, Alejandroen_US
dc.contributor.authorDíaz Artiles, Albaen_US
dc.contributor.authorSaavedra Santana, Pedroen_US
dc.contributor.authorAlvarado Martel, Dácilen_US
dc.contributor.authorWägner, Anna Maria Claudiaen_US
dc.contributor.authorBoronat Cortés, Mauroen_US
dc.date.accessioned2022-05-23T14:10:53Z-
dc.date.available2022-05-23T14:10:53Z-
dc.date.issued2022en_US
dc.identifier.issn1472-6823en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/114833-
dc.description.abstractBackground: Anxiety, depression, and disease-related distress are linked to worse overall glycaemic control, in terms of HbA1c. This study was aimed to evaluate whether traits of these emotional disorders are associated with long-term glycaemic variability in subjects with Type 1 diabetes. Methods: Longitudinal retrospective study. Six-year HbA1c data (2014–2019) from 411 subjects with Type 1 diabetes who had participated in a previous study to design a diabetes-specific quality of life questionnaire in the year 2014 were included. Scores for Spanish versions of the Hospital Anxiety and Depression Scale (HADS) and Problem Areas in Diabetes (PAID) scale were obtained at baseline, along with sociodemographic and clinical data. Long-term glycaemic variability was measured as the coefficient of variation of HbA1c (HbA1c-CV). The association between HADS and PAID scores and HbA1c-CV was analysed with Spearman correlations and multiple regression models, both linear and additive, including other covariates (age, sex, diabetes duration time, type of treatment, baseline HbA1c, use of anxiolytic or antidepressant drugs, education level and employment status). Results: Scores of depression, anxiety and distress were positively and significantly correlated to HbA1c-CV in univariate analyses. Multiple regression study demonstrated an independent association only for diabetes distress score (p < 0.001). Age, diabetes duration time, baseline HbA1c, education level and employment status were also significantly associated with HbA1c-CV. However, when subjects were analyzed separately in two age groups, distress scores were associated with HbA1c-CV only among those aged 25 years or older, while anxiety scores, but not distress, were associated with HbA1c-CV among those younger than 25 years. Conclusions: Psychological factors, particularly disease-related distress and anxiety, are associated with long-term glycaemic variability in subjects with Type 1 diabetes.en_US
dc.languageengen_US
dc.relation.ispartofBMC Endocrine Disordersen_US
dc.sourceBMC Endocrine Disorders [EISSN 1472-6823],v. 22 (1), (Mayo 2022)en_US
dc.subject32 Ciencias médicasen_US
dc.subject320502 Endocrinologíaen_US
dc.subject61 Psicologíaen_US
dc.subject.otherAnxietyen_US
dc.subject.otherDepressionen_US
dc.subject.otherDistressen_US
dc.subject.otherLong-Term Glycaemic Variabilityen_US
dc.titleImpact of anxiety, depression and disease-related distress on long-term glycaemic variability among subjects with Type 1 diabetes mellitusen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1186/s12902-022-01013-7en_US
dc.identifier.scopus85129715402-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.authorscopusid57216928357-
dc.contributor.authorscopusid57674066600-
dc.contributor.authorscopusid57673795200-
dc.contributor.authorscopusid56719694700-
dc.contributor.authorscopusid7401456520-
dc.contributor.authorscopusid7003952293-
dc.identifier.eissn1472-6823-
dc.identifier.issue1-
dc.relation.volume22en_US
dc.investigacionCiencias de la Saluden_US
dc.type2Artículoen_US
dc.description.numberofpages8en_US
dc.utils.revisionen_US
dc.date.coverdateMayo 2022en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-MEDen_US
dc.description.sjr0,733
dc.description.jcr2,7
dc.description.sjrqQ2
dc.description.jcrqQ4
dc.description.scieSCIE
dc.description.miaricds10,8
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR Estadística-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.deptGIR IUIBS: Diabetes y endocrinología aplicada-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptGIR IUIBS: Diabetes y endocrinología aplicada-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptDepartamento de Ciencias Médicas y Quirúrgicas-
crisitem.author.deptGIR IUIBS: Diabetes y endocrinología aplicada-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptDepartamento de Ciencias Médicas y Quirúrgicas-
crisitem.author.orcid0000-0003-1681-7165-
crisitem.author.orcid0000-0003-4952-4115-
crisitem.author.orcid0000-0002-7663-9308-
crisitem.author.orcid0000-0001-8535-8543-
crisitem.author.parentorgDepartamento de Matemáticas-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.fullNameSaavedra Santana, Pedro-
crisitem.author.fullNameAlvarado Martel, Dacil Idaira-
crisitem.author.fullNameWägner, Anna Maria Claudia-
crisitem.author.fullNameBoronat Cortés, Mauro-
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