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

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.

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Sanne M Hendriks ◽  
Carmilla MM Licht ◽  
Jan Spijker ◽  
Aartjan TF Beekman ◽  
Florian Hardeveld ◽  
...  

2016 ◽  
Vol 19 (6) ◽  
pp. 619-627 ◽  
Author(s):  
Lisa Mather ◽  
Victoria Blom ◽  
Gunnar Bergström ◽  
Pia Svedberg

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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