[Association between depressive symptoms and metabolic control in patients with type 2 diabetes mellitus: a cross-sectional study]. 2018

María José Valenzuela, and Bárbara Münzenmayer, and Tomás Osorio, and Marcelo Arancibia, and Eva Madrid
Departamento de Medicina Interna, Escuela de Medicina, Universidad de Valparaíso, Viña del Mar, Chile.

BACKGROUND Patients with diabetes mellitus show a higher risk of developing depressive symptoms when compared to healthy people, hampering the management and prognosis of both diseases. However, national studies on the topic are scarce. OBJECTIVE To study the frequency and severity of depressive symptoms in patients with type 2 diabetes. METHODS Beck Depression Inventory-IA and Morisky Green Levine scale were administered to diabetic patients under control at a primary care center. Pharmacological compliance was evaluated using glycosylated hemoglobin levels obtained from their clinical records. RESULTS We included 323 patients aged 64 ± 12 years (49% women). The frequency of depressive symptoms was 34.7%. Compared with their counterparts without depressive symptoms, patients with depression showed higher glycosylated hemoglobin levels (7.2 ± 1.7 and 6.7 ± 1.3% respectively), a higher frequency of non-compliance with treatment (63 and 43% respectively) and a higher frequency of metabolic decompensation (38 and 23% respectively). Depressive symptomatology was more common among women. CONCLUSIONS Patients with type 2 diabetes mellitus and depressive symptoms exhibit a poorer treatment compliance and worse metabolic control as compared to their non-depressive counterparts.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011569 Psychiatric Status Rating Scales Standardized procedures utilizing rating scales or interview schedules carried out by health personnel for evaluating the degree of mental illness. Factor Construct Rating Scales (FCRS),Katz Adjustment Scales,Lorr's Inpatient Multidimensional Psychiatric Rating Scale,Wittenborn Scales,Edinburgh Postnatal Depression Scale,Mini International Neuropsychiatric Interview
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D003866 Depressive Disorder An affective disorder manifested by either a dysphoric mood or loss of interest or pleasure in usual activities. The mood disturbance is prominent and relatively persistent. Depression, Endogenous,Depression, Neurotic,Depression, Unipolar,Depressive Syndrome,Melancholia,Neurosis, Depressive,Unipolar Depression,Depressions, Endogenous,Depressions, Neurotic,Depressions, Unipolar,Depressive Disorders,Depressive Neuroses,Depressive Neurosis,Depressive Syndromes,Disorder, Depressive,Disorders, Depressive,Endogenous Depression,Endogenous Depressions,Melancholias,Neuroses, Depressive,Neurotic Depression,Neurotic Depressions,Syndrome, Depressive,Syndromes, Depressive,Unipolar Depressions
D003924 Diabetes Mellitus, Type 2 A subclass of DIABETES MELLITUS that is not INSULIN-responsive or dependent (NIDDM). It is characterized initially by INSULIN RESISTANCE and HYPERINSULINEMIA; and eventually by GLUCOSE INTOLERANCE; HYPERGLYCEMIA; and overt diabetes. Type II diabetes mellitus is no longer considered a disease exclusively found in adults. Patients seldom develop KETOSIS but often exhibit OBESITY. Diabetes Mellitus, Adult-Onset,Diabetes Mellitus, Ketosis-Resistant,Diabetes Mellitus, Maturity-Onset,Diabetes Mellitus, Non-Insulin-Dependent,Diabetes Mellitus, Slow-Onset,Diabetes Mellitus, Stable,MODY,Maturity-Onset Diabetes Mellitus,NIDDM,Diabetes Mellitus, Non Insulin Dependent,Diabetes Mellitus, Noninsulin Dependent,Diabetes Mellitus, Noninsulin-Dependent,Diabetes Mellitus, Type II,Maturity-Onset Diabetes,Noninsulin-Dependent Diabetes Mellitus,Type 2 Diabetes,Type 2 Diabetes Mellitus,Adult-Onset Diabetes Mellitus,Diabetes Mellitus, Adult Onset,Diabetes Mellitus, Ketosis Resistant,Diabetes Mellitus, Maturity Onset,Diabetes Mellitus, Slow Onset,Diabetes, Maturity-Onset,Diabetes, Type 2,Ketosis-Resistant Diabetes Mellitus,Maturity Onset Diabetes,Maturity Onset Diabetes Mellitus,Non-Insulin-Dependent Diabetes Mellitus,Noninsulin Dependent Diabetes Mellitus,Slow-Onset Diabetes Mellitus,Stable Diabetes Mellitus
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D015190 Blood Glucose Self-Monitoring Self evaluation of whole blood glucose levels outside the clinical laboratory. A digital or battery-operated reflectance meter may be used. It has wide application in controlling unstable insulin-dependent diabetes. Blood Sugar Self-Monitoring,Home Blood Glucose Monitoring,Monitoring, Home Blood Glucose,Self-Monitoring, Blood Glucose,Glucose, Blood, Self Monitoring,Glucose, Blood, Self-Monitoring,Blood Glucose Self Monitoring,Blood Glucose Self-Monitorings,Blood Sugar Self Monitoring,Blood Sugar Self-Monitorings,Glucose Self-Monitoring, Blood,Glucose Self-Monitorings, Blood,Self Monitoring, Blood Glucose,Self-Monitoring, Blood Sugar,Self-Monitorings, Blood Glucose,Self-Monitorings, Blood Sugar,Sugar Self-Monitoring, Blood,Sugar Self-Monitorings, Blood

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