ABSTRACT
BACKGROUND: Depressive and anxiety disorders are common in primary care setting but often remain undiagnosed. Metabolic syndrome (MetS) is also prevalent in the general population and can impair recognition of common mental disorders due to significant co-morbidity and overlap with psychiatric symptoms included in self-reported depression/anxiety screening tools. We investigated if MetS has an impact on the accuracy of current major depressive disorder (MDD) and generalized anxiety disorder (GAD) screening results using the Hospital Anxiety and Depression scale (HADS). METHODS: A total of 1115 (562 men; mean age 62.0 ± 9.6 years) individuals of 45+ years of age were randomly selected from the general population and evaluated for current MetS; depressive and anxiety symptoms (HADS); and current MDD and GAD (Mini International Neuropsychiatric Interview [MINI]). RESULTS: The MetS was diagnosed in 34.4% of the study participants. Current MDD and GAD were more common in individuals with MetS relative to individuals without MetS (25.3% vs 14.2%, respectively, p < 0.001; and 30.2% vs 20.9%, respectively, p < 0.001). The ROC analyses demonstrated that optimal thresholds of the HADS-Depression subscale for current MDE were ≥9 in individuals with MetS (sensitivity = 87%, specificity = 73% and PPV = 52%) and ≥8 in individuals without MetS (sensitivity = 81%, specificity = 78% and PPV = 38%). At threshold of ≥9 the HADS-Anxiety subscale demonstrated optimal psychometric properties for current GAD screening in individuals with MetS (sensitivity = 91%, specificity = 85% and PPV = 72%) and without MetS (sensitivity = 84%, specificity = 83% and PPV = 56%). CONCLUSIONS: The HADS is a reliable screening tool for current MDE and GAD in middle aged and elderly population with and without MetS. Optimal thresholds of the HADS-Depression subscale for current MDD is ≥9 for individuals with MetS and ≥8 - without MetS. Optimal threshold of the HADS-Anxiety subscale is ≥9 for current GAD in individuals with and without MetS. The presence of MetS should be considered when interpreting depression screening results.
Subject(s)
Anxiety Disorders/diagnosis , Depressive Disorder, Major/diagnosis , Mass Screening/statistics & numerical data , Metabolic Syndrome/psychology , Psychiatric Status Rating Scales/statistics & numerical data , Aged , Anxiety Disorders/psychology , Depressive Disorder, Major/psychology , Female , Humans , Male , Mass Screening/methods , Middle Aged , Prevalence , Primary Health Care , Psychometrics , ROC Curve , Reference Values , Sensitivity and SpecificityABSTRACT
UNLABELLED: The aim of study was to evaluate the possibilities of different diagnostic criteria for metabolic syndrome in identifying subjects with insulin resistance and to assess the prevalence of metabolic syndrome according to gender in one Lithuanian district. MATERIALS AND METHODS: A randomly selected sample of 1,115 subjects aged 45-96 years (562 men and 553 women) was formed from general population of Raseiniai district. Insulin resistance was estimated using the homeostasis model assessment. Metabolic syndrome was determined according to the definitions of the World Health Organization, National Cholesterol Education Program Adults Treatment Panel III, and International Diabetes Federation. RESULTS: Using the World Health Organization criteria, metabolic syndrome was observed in 384 (34.4%) subjects (no difference between genders); according to the National Cholesterol Education Program--in 336 (30.1%) patients (in 107 men (19.0%) and 229 women (41.4%), p < 0.001); using International Diabetes Federation criteria--in 474 (42.5%) (175 men (31.1%) and 299 women (54.1%), p < 0.001). Overall, 314 (28.5%) subjects were insulin resistant (no difference between genders). The highest prevalence of insulin resistance was determined in subjects with metabolic syndrome diagnosed according to the World Health Organization criteria--70.3% (n = 267), p < 0.05. Odds ratios to identify insulin-resistant subjects with metabolic syndrome according to the World Health Organization criteria and the International Diabetes Federation criteria were 22.4 and 2.3, respectively. CONCLUSIONS: The highest prevalence of metabolic syndrome was determined according to the International Diabetes Federation criteria. According to the National Cholesterol Education Program and International Diabetes Federation criteria metabolic syndrome was observed more frequently in women. The highest prevalence of insulin resistance was determined in metabolic syndrome group based on World Health Organization criteria. Using the World Health Organization and International Diabetes Federation criteria for metabolic syndrome provides more opportunities to identify subjects with insulin resistance.
Subject(s)
Insulin Resistance , Metabolic Syndrome/diagnosis , Age Factors , Aged , Aged, 80 and over , Blood Glucose/analysis , Body Mass Index , Cholesterol, HDL/blood , Data Interpretation, Statistical , Female , Humans , Insulin/blood , Lithuania/epidemiology , Male , Metabolic Syndrome/blood , Metabolic Syndrome/epidemiology , Middle Aged , Odds Ratio , Sex Factors , Surveys and Questionnaires , Triglycerides/blood , World Health OrganizationABSTRACT
BACKGROUND: Metabolic syndrome (MetS) becomes a serious society health problem. The main risk factors of MetS are related to the increased risk of cardiovascular diseases, appearance of stroke, type 2 diabetes mellitus and the growing risk of mortality. MetS stimulates the appearance of early atherosclerosis, its progress and accelerates the frequency of cardiovascular complications related to atherosclerosis and diabetes mellitus. OBJECTIVE: To evaluate the risk of cardiovascular events (myocardial infarction, stroke) among the individuals with MetS in a 10 year prospective study; to identify MetS components that determine risk and character of cardiovascular events. METHODS: The study design was prospective. It was started in 2003 to assess the risk factors, clinical components, diagnostic criteria of MetS. At the second stage in 2013 the individuals were repeatedly invited to evaluate cardiovascular pathology that was confirmed by cardiologist and neurologist. The 45 years old and older citizens of Lithuanian district participated in the study. 1115 individuals (562 men and 553 women) were randomly selected in 2003. 538 respondents: 278 (51.70 %) men and 260 (48.30 %) women participated in the repeated study in 2013. RESULTS: During the study myocardial infarction (MI) was confirmed to 7.43 % individuals taken part in the study, stroke-to 4.28 % individuals. The odds' ratio (OR) of MI between individuals with MetS and without MetS was 1.80 (95 % CI 1.67-1.97), p < 0.05. The OR of stroke for individuals with MetS and without MetS was 2.05 (95 % CI 1.21-2.54), p < 0.05. The OR of MI between men with abdominal obesity and identified MetS was 3.12 (95 % CI 2.77-3.53), p < 0.05. The OR of stroke between men with low level of high density lipoprotein cholesterol and identified MetS was 4.98 (95 % CI 4.40-5.65), p < 0.05. The OR of stroke between men with hypertriglyceridemia and identified MetS was 8.43 (95 % CI 7.45-9.54), p < 0.05. CONCLUSIONS: Individuals with identified MetS have 1.80 and 2.05 times higher statistically significant probability, respectively, for MI and stroke events, than individuals without MetS. Separate components or MetS increase risk of cardiovascular events in men: abdominal obesity increases risk of MI, and low level of high density lipoprotein cholesterol and hypertriglyceridemia increase risk of stroke.
ABSTRACT
BACKGROUND: Studies investigating specifically whether metabolic syndrome (MetS) and common psychiatric disorders are independently associated with mortality are lacking. In a middle-aged general population, we investigated the association of the MetS, current major depressive episode (MDE), lifetime MDE, and generalized anxiety disorder (GAD) with ten-year all-cause and cardiovascular disease mortality. METHODS: From February 2003 until January 2004, 1115 individuals aged 45 years and older were randomly selected from a primary care practice and prospectively evaluated for: (1) MetS (The World Health Organization [WHO], National Cholesterol Education Program/Adult Treatment Panel III and International Diabetes Federation [IDF] definitions); (2) current MDE and GAD, and lifetime MDE (Mini International Neuropsychiatric Interview); and (3) conventional cardiovascular risk factors. Follow-up continued through January, 2013. RESULTS: During the 9.32 ± 0.47 years of follow-up, there were 248 deaths, of which 148 deaths were attributed to cardiovascular causes. In women, WHO-MetS and IDF-MetS were associated with greater all-cause (HR-values range from 1.77 to 1.91; p-values ≤ 0.012) and cardiovascular (HR-values range from 1.83 to 2.77; p-values ≤ 0.013) mortality independent of cardiovascular risk factors and MDE/GAD. Current GAD predicted greater cardiovascular mortality (HR-values range from 1.86 to 1.99; p-values ≤ 0.025) independently from MetS and cardiovascular risk factors. In men, the MetS and MDE/GAD were not associated with mortality. CONCLUSIONS: In middle aged women, the MetS and GAD predicted greater 10-year cardiovascular mortality independently from each other; 10-year all-cause mortality was independently predicted by the MetS. MetS and GAD should be considered important and independent mortality risk factors in women.
Subject(s)
Anxiety Disorders/mortality , Cardiovascular Diseases/mortality , Depressive Disorder, Major/mortality , Metabolic Syndrome/mortality , Age Factors , Aged , Anxiety Disorders/diagnosis , Anxiety Disorders/psychology , Cardiovascular Diseases/diagnosis , Cardiovascular Diseases/psychology , Depressive Disorder, Major/diagnosis , Depressive Disorder, Major/psychology , Female , Follow-Up Studies , Humans , Male , Metabolic Syndrome/diagnosis , Metabolic Syndrome/psychology , Middle Aged , Mortality/trends , Prospective Studies , Risk Factors , Time FactorsABSTRACT
INTRODUCTION: Metabolic syndrome (MetS) and depression are considered important risk factors for diabetes and cardiovascular disease. Recent evidence suggests that depression can be an important predictor of MetS. Data on the association between anxiety and MetS remain mixed. In a large primary care based community sample we investigated an association of depressive and anxiety disorders and symptoms with MetS. METHODS: A total of 1115 (51% men, mean age 62.0 ± 9.6 years) randomly selected individuals of 45 years and older were evaluated for: (i) MetS using the World Health Organization (WHO), National Cholesterol Education Program Adult Treatment Panel III (NCEP/ATP III) and International Diabetes Federation (IDF) criteria; (ii) current major depressive episode (MDE) and current generalized anxiety disorder (GAD), the Mini International Neuropsychiatric interview; (iii) lifetime MDE; and (iv) symptoms of depression and anxiety, the Hospital Anxiety and Depression scale (HADS). Socio-demographic characteristics (education, residence, marital status and social status) and medical histories (physical activity, smoking status, alcohol consumption and histories of myocardial infarction and stroke) were also evaluated. RESULTS: After adjusting for socio-demographic status, medical histories and current GAD, current MDE and lifetime MDE were associated with greater prevalence of MetS according to the WHO criteria (OR=1.7, 95%CI [1.1-2.7] and OR=3.7, 95%CI [2.4-5.7], respectively, p ≤ 0.001). Lifetime MDE was also associated with MetS according to the IDF and NCEP/ATP III criteria. On the other hand, current GAD was not associated with MetS in multivariate regression models when adjusted for current MDE. Similar results were obtained when evaluating an association between depression/anxiety symptoms and MetS, since elevated depressive, but not anxiety, symptoms were independently associated with MetS. CONCLUSIONS: Depressive, but not anxiety, disorders and symptoms are associated with greater prevalence rate of MetS. Assessment and management of MetS risk factors should be considered in depressed individuals.