Abstract:ÖZET:Uykusuzluk ve majör depresif bozukluk arasında-ki bağlantı: Bir tavuk ve yumurta durumu mudur?Majör depresif bozukluk (MDB) çok yaygın, şiddetle güç-süz düşürücü ve sıklıkla da yineleyicidir. MDB'li bireylerin önemli bir kısmı uyku düzensizliklerinden yakınırlar. MDB aynı zamanda çeşitli uyku bozukluklu kitleler arasında fazla miktarda temsil edilmektedir. Uyku düzensizlikleri MDB'nin tipik özelliklerinden olsa da, böyle belirtiler bazen bir MDB döneminden önce ortaya çıkarlar. Uyku düzensizliği, özellikl… Show more
“…Due to the bidirectional relationship between depressive symptoms and sleep disturbances, it is difficult to identify the cause and effect. However, it has been suggested that the combination of insomnia and depression influences the severity and duration of MDD as well as relapse rates, whereas pharmacological and nonpharmacological interventions for insomnia may favorably reduce and possibly prevent MDD (8). Therefore, early identification of adolescents with sleeping problems may prevent a depression in the future.…”
Section: Discussionmentioning
confidence: 99%
“…This two-way relationship between sleep disturbances and MDD makes it difficult to establish a cause-and-effect connection between them. Longitudinal studies have defined sleep disorders as a risk factor for new onset or recurrent MDD development, and this relationship has been shown in young adult, middle-aged, and elderly populations (8).…”
Background/aim: While poor sleep quality and sleep problems are signs of depression in adolescents, depressive symptoms among this age group further deteriorate sleep quality. The aim of this study was to explore the relationship between sleep quality and depressive symptoms in adolescents of 14 to 20 years of age.
Materials and methods:This study was conducted with a descriptive and cross-sectional research design. The sample group consisted of 313 adolescents in İstanbul, Turkey. The data were collected using a questionnaire form, the Beck Depression Inventory (BDI), and the Pittsburgh Sleep Quality Index (PSQI).
Results:The mean BDI score of the adolescents was 12.99 ± 8.94 (range: 0-53) and 4.8% had severe depressive symptoms. The global PSQI score of the adolescents was 4.69 ± 2.87 (range: 0-16) and 63.6% had good sleep quality, whereas the remaining 36.4% had poor sleep quality. There was a moderate positive correlation between BDI and PSQI scores. The factors affecting the quality of sleep of adolescents were mild and moderate-severe depressive symptom level, smoking, and the presence of sleep problems in a family member.
Conclusion:This study shows a relationship between sleep quality and depressive symptom levels of adolescents. The findings of the current research will contribute to the development of school wellbeing programs that will be prepared with the aim of improving sleep quality and reducing depressive symptoms.
“…Due to the bidirectional relationship between depressive symptoms and sleep disturbances, it is difficult to identify the cause and effect. However, it has been suggested that the combination of insomnia and depression influences the severity and duration of MDD as well as relapse rates, whereas pharmacological and nonpharmacological interventions for insomnia may favorably reduce and possibly prevent MDD (8). Therefore, early identification of adolescents with sleeping problems may prevent a depression in the future.…”
Section: Discussionmentioning
confidence: 99%
“…This two-way relationship between sleep disturbances and MDD makes it difficult to establish a cause-and-effect connection between them. Longitudinal studies have defined sleep disorders as a risk factor for new onset or recurrent MDD development, and this relationship has been shown in young adult, middle-aged, and elderly populations (8).…”
Background/aim: While poor sleep quality and sleep problems are signs of depression in adolescents, depressive symptoms among this age group further deteriorate sleep quality. The aim of this study was to explore the relationship between sleep quality and depressive symptoms in adolescents of 14 to 20 years of age.
Materials and methods:This study was conducted with a descriptive and cross-sectional research design. The sample group consisted of 313 adolescents in İstanbul, Turkey. The data were collected using a questionnaire form, the Beck Depression Inventory (BDI), and the Pittsburgh Sleep Quality Index (PSQI).
Results:The mean BDI score of the adolescents was 12.99 ± 8.94 (range: 0-53) and 4.8% had severe depressive symptoms. The global PSQI score of the adolescents was 4.69 ± 2.87 (range: 0-16) and 63.6% had good sleep quality, whereas the remaining 36.4% had poor sleep quality. There was a moderate positive correlation between BDI and PSQI scores. The factors affecting the quality of sleep of adolescents were mild and moderate-severe depressive symptom level, smoking, and the presence of sleep problems in a family member.
Conclusion:This study shows a relationship between sleep quality and depressive symptom levels of adolescents. The findings of the current research will contribute to the development of school wellbeing programs that will be prepared with the aim of improving sleep quality and reducing depressive symptoms.
“…Abnormal sleep, in both chronic and acute situations, has been linked to such adverse physical conditions as coronary heart disease, hypertension, obesity, and all-cause mortality (Ayas et al, 2003; Gottlieb et al, 2006; Patel et al, 2004; Taheri et al, 2004). Poor sleep has also been associated with negative psychological aspects such as pain perception, posttraumatic stress disorder (PTSD), and major depressive disorder (Gulec et al, 2012; Pieh et al, 2011; Van Liempt, 2012).…”
This study explored whether physical activity and sleep, combined with the biomarker C-reactive protein, indexed positive health in older men. Many were former prisoners of war, with most remaining psychologically resilient and free of any psychiatric diagnoses. Activity and sleep were recorded through actigraphy in 120 veterans (86 resilient and 34 nonresilient) for 7 days. Resilient men had higher physical activity, significantly lower C-reactive protein levels, and 53 percent had lower cardiac-disease risk compared to nonresilient men. Sleep was adequate and not associated with C-reactive protein. Results suggest continued study is needed in actigraphy and C-reactive protein as means to index positive health.
“…Moreover, drugs and behavioral treatments for comorbid MDD and insomnia symptoms can improve both outcomes [8,9]. Therefore, the relationship between MDD and insomnia may be bi-directional [10,11].…”
Section: Introductionmentioning
confidence: 99%
“…Although the underlying mechanism of MDD remains elusive, MDD is recognized as a complex disorder contributed by both genetic and environmental factors. The heritability of MDD is 40% to 50% suggested by twin studies [11]. However, the genetic component of insomnia is hard to estimate because it can coexist with other medical and psychiatric conditions.…”
Major depressive disorder (MDD) is one of the most prevalent and disabling mental disorders worldwide. Among the symptoms of MDD, sleep disturbance such as insomnia is prominent, and the first reason patients may seek professional help. However, the underlying pathophysiology of this comorbidity is still elusive. Recently, genome-wide association studies (GWAS) have begun to unveil the genetic background of several psychiatric disorders, including MDD and insomnia. Identifying the shared genomic risk loci between comorbid psychiatric disorders could be a valuable strategy to understanding their comorbidity. This study seeks to identify the shared genes and biological pathways between MDD and insomnia based on their shared genetic variants. First, we performed a meta-analysis based on the GWAS summary statistics of MDD and insomnia obtained from Psychiatric Genomics Consortium and UK Biobank, respectively. Next, we associated shared genetic variants to genes using two gene mapping strategies: (a) positional mapping based on genomic proximity and (b) expression quantitative trait loci (eQTL) mapping based on gene expression linkage across multiple tissues. As a result, a total of 719 shared genes were identified. Over half (51%) of them are protein-coding genes. Functional enrichment analysis shows that the most enriched biological pathways are related to epigenetic modification, sensory perception, and immunologic signatures. We also identified druggable targets using a network approach. Together, these results may provide insights into understanding the genetic predisposition and underlying biological pathways of comorbid MDD and insomnia symptoms.
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