Generalized Anxiety Disorder and Major Depressive Disorder comorbidity in the National Survey of Mental Health and Well-Being

2004 ◽  
Vol 20 (1) ◽  
pp. 23-31 ◽  
Author(s):  
Caroline Hunt ◽  
Tim Slade ◽  
Gavin Andrews
Keyword(s):  
Mental Health ◽  
Major Depressive Disorder ◽  
Anxiety Disorder ◽  
Depressive Disorder ◽  
Generalized Anxiety Disorder ◽  
National Survey ◽  
Well Being ◽  
Generalized Anxiety ◽  
Major Depressive ◽  
Health And Well Being

DSM-IV generalized anxiety disorder in the Australian National Survey of Mental Health and Well-Being

2002 ◽  
Vol 32 (4) ◽  
pp. 649-659 ◽  
Author(s):  
C. HUNT ◽  
C. ISSAKIDIS ◽  
G. ANDREWS
Keyword(s):  
Mental Health ◽  
Anxiety Disorder ◽  
Generalized Anxiety Disorder ◽  
National Survey ◽  
Population Data ◽  
Well Being ◽  
Generalized Anxiety ◽  
Co Morbidity ◽  
Dsm Iv ◽  
Health And Well Being

Background. This paper reports population data on DSM-IV generalized anxiety disorder from the Australian National Survey of Mental Health and Well-Being.Methods. The data were obtained from a nationwide household survey of adults using a stratified multi-stage sampling process. A response rate of 78·1% resulted in 10641 persons being interviewed. Diagnoses were made using the Composite International Diagnostic Interview. The interview was computerized and conducted by trained lay interviewers.Results. Prevalence in the total sample was 2·8% for 1-month GAD and 3·6% for 12-month GAD. Persons over 55 years of age were less likely to have GAD than those in the younger age groups. Logistic regression analysis also showed that a diagnosis of GAD was significantly associated with being of younger to middle age, being separated divorced or widowed, not having tertiary qualifications or being unemployed. Co-morbidity with another affective, anxiety, substance use or personality disorders was common, affecting 68% of the sample with 1-month DSM-IV GAD. GAD was associated with significant disablement, and 57% of the sample with DSM-IV GAD had consulted a health professional for a mental health problem in the prior 12 months.Conclusions. The survey provides population data on DSM-IV GAD and its correlates. GAD is a common disorder that is accompanied by significant morbidity and high rates of co-morbidity with affective and anxiety disorders, and is associated with marital status, education, employment status, but not sex. Changes to DSM-IV diagnostic criteria did not appear to affect the prevalence rate compared to previous population surveys.

scholarly journals COVID-19 Lock-Down Affecting Mental Health in Thailand; Review and Situation

2021 ◽  
Keyword(s):  
Mental Health ◽  
Major Depressive Disorder ◽  
Anxiety Disorder ◽  
Depressive Disorder ◽  
Generalized Anxiety Disorder ◽  
Psychological Health ◽  
Health Problems ◽  
Psychological Interventions ◽  
Generalized Anxiety ◽  
Major Depressive

Major depressive disorder and generalized anxiety disorder are among the most commonly diagnosed mental illnesses in Thailand; both are associated with a high societal and economic burden. Treatment for major depressive disorder and generalized anxiety disorder consists of pharmacological and psychological interventions. Three commonly used psychological interventions are cognitive behavioral therapy, interpersonal therapy, and supportive therapy. The Unprecedented crisis produced by the COVID-19 pandemic produced a mental health situation with a severe impact on both seniors and adolescents. An analysis of the impact on COVID-19 on mental health in Thailand was conducted by an investigation of data from the Roi-et public health office in Roi Et province. The data showed that in the years 2016, 2017, 2018, 2019 and 2020 there were respectively 1.18, 1.36, 1.51, 1.96 and 1.93 of residents with depression. Among senior citizens in the province depression was more frequent with 2.99, 3.41, 3.60, 3.99 and 5.25 of seniors diagnosed as depressed in the years 2014, 2015, 2016, 2017 and 2018. In the era of the COVID-19 outbreak there was a higher prevalence of psychological health problems among seniors and adolescents. The crucial outcome from spatial analysis using GIS showed the highest number of mental health problems in Kaset Wisai district and the lowest prevalence in Thung Kao Lunang district. These findings suggest that the government needs to pay more attention to psychological health among elderly people while combating COVID-19.

scholarly journals Disorder-specific cognitive profiles in major depressive disorder and generalized anxiety disorder

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Sanne M Hendriks ◽  
Carmilla MM Licht ◽  
Jan Spijker ◽  
Aartjan TF Beekman ◽  
Florian Hardeveld ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Anxiety Disorder ◽  
Depressive Disorder ◽  
Generalized Anxiety Disorder ◽  
Generalized Anxiety ◽  
Cognitive Profiles ◽  
Major Depressive

scholarly journals An Underlying Common Factor, Influenced by Genetics and Unique Environment, Explains the Covariation Between Major Depressive Disorder, Generalized Anxiety Disorder, and Burnout: A Swedish Twin Study

2016 ◽  
Vol 19 (6) ◽  
pp. 619-627 ◽  
Author(s):  
Lisa Mather ◽  
Victoria Blom ◽  
Gunnar Bergström ◽  
Pia Svedberg
Keyword(s):  
Risk Factors ◽  
Major Depressive Disorder ◽  
Anxiety Disorder ◽  
Environmental Factors ◽  
Depressive Disorder ◽  
Generalized Anxiety Disorder ◽  
Common Factor ◽  
Generalized Anxiety ◽  
Major Depressive ◽  
Common Pathway

Depression and anxiety are highly comorbid due to shared genetic risk factors, but less is known about whether burnout shares these risk factors. We aimed to examine whether the covariation between major depressive disorder (MDD), generalized anxiety disorder (GAD), and burnout is explained by common genetic and/or environmental factors. This cross-sectional study included 25,378 Swedish twins responding to a survey in 2005–2006. Structural equation models were used to analyze whether the trait variances and covariances were due to additive genetics, non-additive genetics, shared environment, and unique environment. Univariate analyses tested sex limitation models and multivariate analysis tested Cholesky, independent pathway, and common pathway models. The phenotypic correlations were 0.71 (0.69–0.74) between MDD and GAD, 0.58 (0.56–0.60) between MDD and burnout, and 0.53 (0.50–0.56) between GAD and burnout. Heritabilities were 45% for MDD, 49% for GAD, and 38% for burnout; no statistically significant sex differences were found. A common pathway model was chosen as the final model. The common factor was influenced by genetics (58%) and unique environment (42%), and explained 77% of the variation in MDD, 69% in GAD, and 44% in burnout. GAD and burnout had additive genetic factors unique to the phenotypes (11% each), while MDD did not. Unique environment explained 23% of the variability in MDD, 20% in GAD, and 45% in burnout. In conclusion, the covariation was explained by an underlying common factor, largely influenced by genetics. Burnout was to a large degree influenced by unique environmental factors not shared with MDD and GAD.

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