Depression Research and Treatment最新文献

The genome (genes), epigenome, and environment work together from the earliest stages of human life to produce a phenotype of human health or disease. Epigenetic modifications, including among other things: DNA methylation, modifications of histones and chromatin structure, as well as functions of noncoding RNA, are coresponsible for specific patterns of gene expression. This refers also to mental disorders, including depressive disorders. Early childhood experiences accompanied by severe stressors (considered a risk factor for depression in adult life) are linked with changes in gene expression. They include genes involved in a response to stress (hypothalamic-pituitary-adrenal axis, HPA), associated with autonomic nervous system hyperactivity and with cortical, and subcortical processes of neuroplasticity and neurodegeneration. These are, among others: gene encoding glucocorticoid receptor, FK506 binding protein 5 gene (FKBP5), gene encoding arginine vasopressin and oestrogen receptor alpha, 5-hydroxy-tryptamine transporter gene (SLC6A4), and gene encoding brain-derived neurotrophic factor. How about personality? Can the experiences unique to every human being, the history of his or her development and gene-environment interactions, through epigenetic mechanisms, shape the features of our personality? Can we pass on these features to future generations? Hence, is the risk of depression inherent in our biological nature? Can we change our destiny?

Background: Depression affects approximately 10 to 20% of pregnant women globally, and one in ten and two in five women in developed and developing countries develop depression during pregnancy, respectively. However, evidence regarding its magnitude and predictors in Southern Ethiopia is limited. The present study is aimed at assessing the magnitude and predictors of antenatal depression among pregnant women attending antenatal care in Sodo town.

Methods: A facility-based cross-sectional study was conducted among 403 antenatal care attendants in Sodo town from November 2 to January 30, 2017. Systematic random sampling was used to select the study population, and data were collected by using a pretested and structured questionnaire. Data were entered using Epi-data 4.2 and then exported and analyzed using SPSS version 20. Bivariate and multivariable logistic regression analyses were used to assess the association between the dependent variable and independent variables. Variables with P value less than 0.05 were considered as statistically significant.

Results: A total of 400 pregnant women were interviewed. The magnitude of antenatal depression was 16.3% (95% CI (12.8%, 19.9%)). Husband's educational status, at the college and above (AOR: 0.09; 95% CI (0.03, 0.34), regular exercise (AOR: 0.16; 95% CI (0.07, 0.36)), planned pregnancy (AOR: 0.16; 95% CI (0.06, 0.44)), use of family planning (AOR: 0.31; 95% CI (0.14, 0.66)), previous history of anxiety (AOR: 2.96; 95% CI (1.30, 6.74)), previous history of obstetric complications (AOR: 19.03; 95% CI (5.89, 61.47)), and current obstetric complications (AOR: 30.38; 95% CI (3.14, 294.19)) were significant predictors of antenatal depression.

Conclusion: Nearly one in six pregnant women had antenatal depression. The husband's educational status, regular exercise, planned pregnancy, use of family planning, previous history of anxiety, previous history of obstetric complications, and current history of obstetric complications were significant predictors of antenatal depression. Screening for depression during routine antenatal care could be essential and recommended to identify early and prevent further morbidities and mortalities due to antenatal depression.

Methods: A cross-sectional school-based study was employed. Five hundred forty-six secondary school students were selected using multistage sampling technique from 5 selected secondary schools. We obtained retrospective information on adverse childhood experiences of adolescents by ACEs, self-reported 10-item questionnaire, and current depression prevalence and severity by PHQ-9. Multivariate linear regression models were used to estimate child depression severity by retrospective ACE count.

Results: Among the 546 adolescents who participated in this study, 285 (50.7%) of the participants answered yes to at least one or more questions among the total 10 questions of ACEs. Experiences of ACEs increased the risk for depressive symptoms, with unstandardized β = 1.123 (β = 1.123, 95% CI (0.872, 1.373). We found a strong, dose-response relationship between the ACE score and the probability of lifetime and recent depressive disorders (p < 0.0001).

Conclusions: The number of ACEs has a graded relationship to both the prevalence and severity of depressive symptoms. These results suggest that exposure to ACEs is associated with an increased risk of depressive symptoms up to decades after their occurrence. Early recognition of childhood abuse and appropriate intervention may thus play an important role in the prevention of depressive disorders throughout the life span.

Background: Depression is a major contributor to the global burden of disease. Its occurrence in patients living with epilepsy is not just common but also a serious comorbidity. Patients tend to suffer if the depressive disorder is undetected and thus untreated. The aim of this study is to estimate the prevalence of depressive disorder in patients with epilepsy. Also, the sociodemographic and clinical factors that are associated with the development of depression in people living with epilepsy were examined. Materials and Method. This was a descriptive cross-sectional study of participants living with epilepsy and receiving care at the Federal Neuropsychiatric Hospital, Sokoto, Nigeria. Participants were recruited consecutively as they come for follow-up care. A sociodemographic/clinical questionnaire and General Health Questionnaire version 28 (GHQ-28) were first administered to participants followed by the Composite International Diagnostic Interview (CIDI). The descriptive statistics were generated and analyzed. Logistic regression was also done to determine the predictors of depression in the study participants. All test of probability was set at p < 0.05.

Results: A total of 400 participants with epilepsy were examined with GHQ-28 and CIDI. Out of the GHQ-28 examined individuals, 71 people (17.8%) met criteria for caseness while 35 participants (8.8%) were depressed when assessed with CIDI. The predictors of depressive illness in participants living with epilepsy were GHQ caseness (p < 0.05. p < 0.05. p < 0.05.

Conclusion: Depression is common in people with epilepsy. Physicians should actively assess individuals with epilepsy for symptoms of depression. Special attention should be paid to patients with a family history of epilepsy and those from minority ethnic groups.

Background: The prevalence of mental health problems including depression is increasing in severity and number among higher institution students, and it has a lot of negative consequences like poor academic performance and committing suicide. Identifying the prevalence and associated factors of mental illness among higher institution students is important in order to administer appropriate preventions and interventions. In Ethiopia, only a few studies tried to report associated factors of depression among university students.

Objective: The objective of this study was to determine the prevalence and factors associated with depressive symptoms among Haramaya University students, Ethiopia.

Methods: Institution-based, cross-sectional study design was conducted among 1040 students. A standard, self-administered questionnaire was used to get data from a sample of randomly selected 1040 undergraduate university students using a multistage systematic random sampling technique. The questionnaire used was the Beck Depression Inventory (BDI) scale which is a self-report 21-item scale that is used to assess the presence of depressive symptoms. All 21 items are rated on a three-point scale (0 to 3). Each question is scored on a 0 to 3 scale, and total scores range from 0 to 63, with higher scores reflecting greater levels of depressive symptoms. The questionnaire has been well validated as a measure of depressive symptomatology with scores 1-13 indicating minimal depressive symptoms, 14-19 showing mild depressive symptoms, 20-28 showing moderate depressive symptoms, and 29-63 indicating severe depressive symptoms. Logistic regression analysis was used to identify variables independently associated with depressive symptoms after we dichotomized the depressive symptoms screening tool to "yes/no" depressive symptoms. This means students who did not report any depressive symptoms were given "no" depressive symptoms and who reported at least one (≥1) depressive symptoms were given "yes" (depressive symptoms).

Results: A total of 1022 (98.3%) out of 1040 students participated in this study. The mean age of participants was 20.9 years (SD ± 2.17), and the majority of them (76.0%) were male students. Prevalence of depressive symptoms among undergraduate students was 26.8% (95% CI: 24.84, 28.76). Among those who had reported depressive symptoms: 10%, 12%, 4%, and 1% of students reported minimal, mild, moderate, and severe depressive symptoms, respectively. Multivariable logistic regression analysis in the final model revealed that being a first-year student (AOR 6.99, 95% CI: 2.31, 21.15, p value < 0.001), being a second-year student (AOR 6.25, 95% CI: 2.05, 19.07, p value < 0.001), being a second-year student (AOR 6.25, 95% CI: 2.05, 19.07, p value < 0.001), being a second-year student (AOR 6.25, 95% CI: 2.05, 19.07, p value < 0.001), being a second-y

The goal of this study is to determine whether different types of activities have a differential effect on mood and enjoyment. Methods. A secondary analysis of the data of 754 participants (M _age = 35.8 years, SD _age = 12.6; M _PHQ-9 = 7.6, SD _PHQ-9 = 7.0) who were recruited via Amazon Mechanical Turk (AMT) to participate in a brief online study. Participants completed an activity log and reported retrospectively about three types of activities (Pleasant, Meaningful, and Mastery) at baseline and one week follow-up. A mixed effects ANOVA was used to analyze the effect of weekly activities on mood, and a temporal analysis model was used to test for the effect of daily activities on enjoyment. Results. Participants who reported higher number of Mastery activities for the week had higher mood ratings at follow-up (F (1, 39) = 4.89, p < .05), regardless of depression status at baseline. Pleasant and Meaningful activities did not have a significant effect on mood. Daily engagement in any of the three activity types increased enjoyment of that day (Pleasant: b = 0.312, t (1811) = 46.73, p < .001; Meaningful: b = 0.254, t (1814) = 11.65, p < .001; Mastery: b = 0.290, t (1816) = 13.07, p < .001]. Conclusions. These findings contribute to the understanding on how brief behavioral activation interventions delivered online may influence participants' mood and enjoyment, and can inform clinicians' recommendations about types of activities.

Background: Maternal depression is a major public health concern as it affects both mothers and their children. Antenatal depression, which is often underdiagnosed, has been associated with preterm labour, low birth weight, and intrauterine growth restriction. Research has demonstrated that postpartum depression is associated with mother-infant bonding impairment, child abuse, child neglect, maternal substance abuse, and self-harm. Globally, the prevalence of depression in pregnant and postpartum adolescents varies. This paper reports on the findings of the prevalence of depression and its associated risk factors among pregnant and postpartum adolescents in KwaZulu-Natal, South Africa.

Methods: Data were generated by means of a descriptive cross-sectional study that was conducted between June and November 2017 utilizing a sample of 326 adolescent females accessing maternal health services in a medium-sized rural peripheral district hospital in Ugu, Southern KwaZulu-Natal. The Edinburgh Postnatal Depression Scale questionnaire was used to screen participating pregnant and postnatal adolescents for depression. A cut-off score of ≥13 was used to identify pregnant and postnatal adolescents with symptoms of depression. The data were analysed using R software.

Results: The prevalence of depression among the pregnant participants was 15.9% (21/132), whereas it was 8.8% (17/194) among the postpartum participants. Antenatal depression was associated with physical violence (adjusted odds ratio (aOR) 6.47, 95% CI 1.36-30.53, p = 0.01) and verbal abuse (adjusted odds ratio (aOR) 4.8, 95% CI 1.5-15.16, p = 0.006). The pregnant participants who indicated they received a lot of support from their partners were 0.93% less likely to have depression. Postnatal depression was associated with physical violence (adjusted odds ratio (aOR) 7.32, 95% CI 1.66-29.44, p = 0.005), verbal abuse (adjusted odds ratio (aOR) 4.3, 95% CI 1.03-15.79, p = 0.03), and intimate partner violence (adjusted odds ratio (aOR) 9.58, 95% CI 1.58-48.82, p = 0.008).

Conclusion: The prevalence of antenatal depression was higher than postpartum depression in the study sample. In light of the findings, maternal healthcare professionals are cautioned to consider the mental health of pregnant and postpartum adolescents who seek their services at health facilities.

The current study explored the eye-tracking patterns of individuals with nonclinical levels of depressive symptomatology when processing emotional expressions. Fifty-three college undergraduates were asked to label 80 facial expressions of five emotions (anger, fear, happiness, neutral, and sadness) while an eye-tracker measured visit duration. We argue visit duration provides more detailed information for evaluating which features of the face are used more often for processing emotional faces. Our findings indicated individuals with nonclinical levels of depressive symptomatology process emotional expressions very similarly to individuals with little to no depressive symptoms, with one noteworthy exception. In general, individuals in our study visited the "T" region, lower and middle AOIs (Area of Interest), more often than upper and noncore areas, but the distinction between the lower and middle AOIs appears for happiness only when individuals are higher in depressive symptoms.