Prevalence Of Major Depressive Disorder Research Articles

Bacillus coagulans and Clostridium butyricum synergistically alleviate depression in a chronic unpredictable mild stress mouse model through altering gut microbiota and prefrontal cortex gene expression

Introduction: The prevalence of major depressive disorder (MDD) has gradually increased and has attracted widespread attention. The aim of this study was to investigate the effect of a probiotic compound consisting of Bacillus coagulans and Clostridium butyricum, on a mouse depression model.Methods: Mice were subjected to chronic unpredictable mild stress (CUMS) and then treated with the probiotics at different concentrations. And mice received behavior test such as forced swimming test and tail suspension test. After that, all mice were sacrificed and the samples were collected for analysis. Moreover, prefrontal cortex (PFC) gene expression and the gut microbiota among different groups were also analyzed.Results: Probiotics improved depressive-like behavior in CUMS mice, as indicated by decreased immobility time (p < 0.05) in the forced swimming test and tail suspension test. probiotics intervention also increased the level of 5-hydroxytryptamine (5-HT) in the prefrontal cortex and decreased the adrenocorticotropic hormone (ACTH) level in serum. In addition, by comparing the PFC gene expression among different groups, we found that the genes upregulated by probiotics were enriched in the PI3K-Akt signaling pathway in the prefrontal cortex. Moreover, we found that downregulated genes in prefrontal cortex of CUMS group such as Sfrp5 and Angpt2, which were correlated with depression, were reversed by the probiotics. Furthermore, the probiotics altered the structure of the gut microbiota, and reversed the reduction of cob(II)yrinate a,c-diamide biosynthesis I pathway in CUMS group. Several species like Bacteroides caecimuris and Parabacteroides distasoni, whose abundance was significantly decreased in the CUMS group but reversed after the probiotics intervention, showed significantly positive correlation with depression associated genes such as Tbxas1 and Cldn2.Discussion: These findings suggested that CUMS-induced depression-like behavior can be alleviated by the probiotics, possibly through alterations in the PFC gene expression and gut microbiota.

Delayed care during pregnancy and postpartum linked to poor maternal mental health: evidence in the United States

ABSTRACT Background Mental health disorders are important prenatal and postpartum health complications. In the rapidly changing healthcare landscape, concerns have been raised about maternal mental well-being in the United States. This study aimed to investigate the relationship between delayed perinatal care and women’s mental health during pregnancy and postpartum. Methods We conducted a cross-sectional survey from March through April, 2022, of women currently pregnant (n = 590) or one-year postpartum (n = 525). A generalised linear model examined the association of delayed care during pregnancy and postpartum with mental health outcomes, specifically Major Depressive Disorder (MDD) and Generalised Anxiety Disorder (GAD). Results Individuals who experienced delayed care tended to exhibit higher rates of mental health symptoms compared to those without delays, especially during postpartum (69.4% vs. 30.7% for MDD; 46.6% vs. 24.8% for GAD). The results from multivariable regression analysis were consistent, showing a greater prevalence of MDD (aPR [adjusted Prevalence Ratio] 2.25, 95%CI 1.82–2.79; p < .001) and GAD (aPR 2.00, 95%CI 1.53–2.61; p < .001), respectively, when delays in postpartum care occurred. Reasons for delayed care, such as financial and time issues, lack of transportation, nervousness about seeing a doctor, and rural residency, were associated with increased mental health symptoms. Conclusion The current analysis highlights the significant adverse health impact of delayed care among pregnant and postpartum women. Continued, targeted efforts to reduce practical barriers to accessing prenatal and postpartum care are required to ensure maternal mental health.

The prevalence of major depressive disorder in people with HIV: Results from the All of Us Research Program.

The All of Us (AoU) Research Program is a national-scale effort to build a dataset to help transform the future of health research by equipping researchers with comprehensive health data from diverse populations, especially those underrepresented in biomedical research. Our objectives were to evaluate the burden of HIV and major depressive disorder (MDD) in underrepresented groups and the frequency of the HIV/MDD comorbidity. We conducted a cross-sectional analysis combining collected survey and electronic health record (EHR) data. We ascertained HIV and MDD cases using Observational Medical Outcomes Partnership codes. We used multivariable logistic regression to obtain the odds ratio of HIV in AoU participants and MDD in AoU participants with HIV. The latest AoU data release includes 412 211 participants: 254 700 have at least one medical condition concept in their EHR, of whom 5193 (1.3%) had HIV, and 2238 (43%) of those with HIV had a diagnosis of MDD. Black AoU participants had approximately 4.58 times the odds of having an HIV diagnosis compared with the combined odds of all other racial groups. AoU participants with HIV were more likely to have MDD (p = 0.001) than were participants without HIV. Among AoU participants, Black individuals have a disproportionately high burden of HIV, pointing to underlying factors such as social determinants of health, limited access to healthcare or prevention resources, and potential systemic biases that contribute to these differences. In addition, HIV is a risk factor for mental health issues like MDD. Further data collection from people with HIV will elucidate contributing factors and the need for interventions.

Social Determinants of Mental Health in Depression: Comparison of Relative Impact on Prevalence of Major Depressive Disorder

Social Determinants of Mental Health in Depression: Comparison of Relative Impact on Prevalence of Major Depressive Disorder

Suicide risk in patients with a current depressive episode during the COVID-19 pandemic.

The prevalence of major depressive disorder (MDD) increased during the COVID-19 pandemic. Data on suicidality in these patients during the pandemic period remain scarce. The aim of the study was to determine the prevalence and variables associated with serious suicide risk in Russian inpatients with MDD during the COVID-19 pandemic. A cross-sectional cohort study with consecutive sampling was conducted from January 1, 2021 to December 31, 2021. All patients completed the Mini International Neuropsychiatric Interview (M.I.N.I.) (including the suicidality module), the Beck Depression Inventory, and the State-Trait Anxiety Inventory, and underwent a semi-structured interview to collect relevant demographic and clinical data. Effect sizes for all independent variables and covariates were calculated using partial eta-squared (ηp2). Of the 6757 patients with non-psychotic mental disorders assessed, 1605 (23.7%) had MDD confirmed by the M.I.N.I., of whom 17.8% were at serious risk for suicide according to the M.I.N.I. suicidality module. Factors independently associated with serious suicide risk in Russian inpatients with MDD during the pandemic were younger age (ηp2 = 0.021), greater severity of depression (0.038), higher state anxiety (0.003), and nonsuicidal self-injury (NSSI) (0.066). The same variables, except for state anxiety, were independently associated with suicide risk in the subgroup of MDD patients previously infected with SARS-CoV2. In the COVID-19 pandemic, the proportion of patients with MDD at serious risk of suicide was similar to pre-pandemic data. No associations were found between suicidality in patients with MDD and COVID-related factors. Younger age, greater severity of depression, and especially NSSI were the most significant risk factors for suicide in patients with MDD during the COVID-19 pandemic.

Prevalence of major depressive disorder and its associated factors among adult patients with neurolathyrism in Dawunt District, Ethiopia; 2022: community-based cross-sectional study.

Major Depressive Disorder (MDD) is one of the commonest mental disorders affecting more than 250million people globally. Patients with chronic illnesses had higher risks for developing MDD than the general population. Neurolathyrism is a chronic illness characterized by lifelong incurable spastic paralysis of lower extremities; causing permanent disability. It is highly prevalent in Dawunt district, Ethiopia; with a point prevalence of 2.4%. Despite this, there were no previous studies assessing the prevalence of MDD among patients with neurolathyrism in Ethiopia. To assess the prevalence of MDD and to identify its associated factors among patients with neurolathyrism in Dawunt district, Ethiopia. A community based cross-sectional study was conducted on 260 samples in Dawunt district from February 01 to March 30/ 2021. Multistage sampling technique was used to select study participants. The patient Health Questionnaire-9 (PHQ-9) depression screening tool was used to diagnose MDD. PHQ-9 is a standardized depression screening tool and a PHQ-9 score of ≥ 10 has a sensitivity and specificity of 88.0% [95% CI (83.0-92.0%)] and 85.0% [95% CI (82.0-88.0%)] for screening MDD. Data were collected by interview; entered to EpiData version 4.2.0; exported to SPSS version 25.0 for analysis; descriptive statistics and binary logistic regression model were used; AOR with 95% CI was used to interpret the associations; and finally results were presented by texts, charts, graphs, and tables. A total of 256 adult patients with neurolathyrism were participated; and the prevalence of MDD was found to be 38.7%. Being female [AOR = 3.00; 95% CI (1.15, 7.84)], living alone [AOR = 2.77; 95% CI (1.02-7.53)], being on neurolathyrism stage-3 [AOR = 3.22; 95% CI (1.09, 9.54)] or stage-4 [AOR = 4.00; 95% CI (1.28, 12.48)], stigma [AOR = 2.69; 95% CI (1.34, 5.39)], and lack of social/ family support [AOR = 3.61; 95% CI (1.80, 7.24)] were found to have statistically significant association with an increased odds of MDD; while regular exercise and ever formal counselling were found to have statistically significant association with a decreased odds of MDD. The prevalence of MDD among neurolathyrism patients in Dawunt district was high. Lack of social support, stigma, not getting formal counselling, and not involving in regular exercise were modifiable risk factors. Therefore, social support, reducing stigma, formal counselling, and encouraging regular exercise might help to reduce the burden of MDD among neurolathyrism patients.

Prevalence of major depressive disorder and post-traumatic stress disorder among first-time sleep center attendees

BackgroundSleep disorders and psychiatric disorders stand in a bidirectional relationship. Sleep complaints are prominent in populations with psychiatric disorders, especially amongst people with major depressive disorder (MDD) and post-traumatic stress disorder (PTSD). Consultations at sleep clinics offer opportunities to screen psychiatric disorders and to propose primary psychiatric care. MethodsThis descriptive study was conducted on 755 patients making their first visit to sleep clinic, with 574 seeking consultation for suspected obstructive sleep apnoea-hypopnoea syndrome (OSAHS), 139 for complaints of insomnia, and 42 for complaints of hypersomnia. The results of 387 screening scales for MDD (BDI-II) and 403 for TSPT (PCL-5) were compared according to the reason given for the consultation. ResultsIn the whole group, 12.1 % of patients presented a positive MDD screening and 4.9 % for PTSD. Among patients presenting with insomnia, 19.8 % had a positive screening for MDD, as compared to 9.3 % in patients presenting with suspected OSAHS (p = 0.02). Regarding PTSD, 9.7 % of patients seeking consultation because of insomnia had a positive screening, compared to 2.9 % among patients with suspected OSAHS (p = 0.03). Among patients with a positive screening for MDD, 40.5 % were not receiving antidepressant or mood stabilizer treatment. ConclusionPositive screening for MDD and PTSD are frequent in patients who attend sleep centers, especially amongst those presenting with insomnia. Nearly half of the patients with positive screening for MDD or PTSD were not receiving a dedicated pharmacological treatment. These figures emphasize systematic screening for psychiatric disorders in sleep clinics.

Educational inequalities in major depressive disorder prevalence, timing and duration among adults over the life course: a microsimulation analysis based on the Lifelines Cohort Study.

Educational inequalities in major depressive disorder (MDD) pose a major challenge. Tackling this issue requires evidence on the long-term impact of intervening on modifiable factors, for example lifestyle and psychosocial factors. For this reason, we aimed to simulate the development of educational inequalities in MDD across the life course, and to estimate the potential impact of intervening on modifiable factors. We used data from the prospective Dutch Lifelines Cohort Study to estimate the required input for a continuous-time microsimulation. The microsimulation allowed us to project the development of educational inequalities in MDD between ages 18 and 65, and to assess the potential benefit of intervening on quality of social contacts, health literacy and smoking. On average, an additional 19.1% of individuals with low education will ever experience MDD between ages 18 and 65 compared with those with high education. Additionally, individuals with low education generally will develop MDD 0.9 years earlier and spend 1.2 years more with MDD, than individuals with high education. Improving the quality of social contacts in individuals with low education produced the largest effect; it would reduce the inequalities in the prevalence, onset and duration of MDD by an average of 18.4%, 18.3% and 28.6%, respectively. Intervening on modifiable factors, particularly quality of social contacts, in individuals with low education could help reduce the estimated educational inequalities in MDD over the life course.

Factors predicting the Major depressive disorder of engineering students in Bangladesh: a structural equation modeling approach

ABSTRACT The global prevalence of Major Depressive Disorder (MDD) among university students is a major public health concern. However, previous studies rarely emphasized on the contributing factors to MDD among engineering students, particularly in the context of developing countries. Bangladesh is one of them where this issue has yet to be adequately studied. Therefore, the present study sought to bridge this gap by utilizing a quantitative cross-sectional research design to explore the factors affecting MDD among Bangladeshi engineering students. Data were collected from both public and private universities and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings revealed that past negative experiences (β = 0.325, t = 4.654, p < 0.001) and an unhealthy lifestyle (β = 0.366, t = 11.015, p < 0.001) are the most prominent predictors of MDD, while educational issues (β = 0.186, t = 6.582, p < 0.001), social media addiction (β = 0.143, t = 4.634, p < .001), and personal relationship issues (β = 0.071, t = 2.443, p < 0.001) are comparatively less predictive in explaining engineering students’ MDD. In contrast, family support and bonding (β = –0.247, t = 8.905, p < .001) were negatively correlated with students’ MDD. The overall findings of this study sheds light on the factors that contribute to MDD among Bangladeshi engineering students and highlights the need for development of coordinated policies aimed at improving the mental health of university students in Bangladesh.

Abstract P303: Investigating the Relationship Between Cardiovascular Diseases and Major Depressive Disorder Among Asians and Pacific Islanders

Background: Poorer mental health is associated with greater cardiovascular disease (CVD) morbidity, recovery, and mortality. Experiencing CVD is also associated with poorer mental health after a CVD event. What has been less examined, is how these associations differ among disaggregated Asian and Pacific Islander (API) groups who have a lower burden of both CVD and poor mental health relative to other racial groups. Objective: To examine the association between CVD diagnosis and experiencing major depressive disorder (MDD) among API people and how it differs between racial groups. Methods: We used survey data (n=5,229) from a study of API patients in Hawai’i and California with a linked electronic health record (EHR) data. Race, sex, body mass index (BMI) and CHD, Stroke, and PVD diagnosis were obtained from EHR while MI and CAD diagnoses were from the survey. Data on health behaviors and social determinants were obtained from the survey. Multivariate logistic regression models were used to determine the association between CVD and MDD. Results: Overall prevalence of MDD was 9.2%. Non-Hispanic White people (6.1%) had the lowest prevalence while “Pacific Islander and White” people had the highest prevalence (12.8%). In the fully adjusted models (Table), people who had a stroke (OR = 1.34, p &lt; .001), CHD (OR = 1.32, p = .01), CAD (OR = 1.35, p = .016) or PVD (OR = 1.49, p &lt; .001) had increased odds of MDD. There was a significant interaction between CAD and increased MDD that differed for Filipino, Asian Indian, “Pacific Islander and Asian”, “Asian and White”, and “Pacific Islander and White” groups compared to Non-Hispanic White people. Conclusion: Diagnosis of certain CVDs could increase the risk of experiencing MDD with potential race group differences for CAD. Further efforts should be made to protect the mental health of patients that have experienced a diagnosis of CVD as MDD can further harm their health outcomes. Moreover, research and treatment should consider potential racial differences in the experience of depression and CVD.

Explanatory and modifying factors of the association between sex and depression onset during adolescence: An exploratory study

BackgroundThe prevalence of Major Depressive Disorder (MDD) is twice as high in women as in men and this difference already emerges during adolescence. Because the mechanisms underlying this sex-difference remain poorly understood, we took a bottom-up approach to identify factors explaining the sex-MDD relationship. MethodsData came from the TRacking Adolescents' Individual Lives Survey (TRAILS), a population study investigating youths' development from age 11 into adulthood. We assessed multiple baseline covariates (e.g., demographic, social and psychological) at ages 11–13 years and MDD onset at ages 19 and 25 years. In regression analyses, each covariate's role in the sex-MDD association as an effect modifier or confounder/explanatory variable was investigated. Replicability was evaluated in an independent sample. ResultsThe analyses identified no effect-modifiers. Baseline internalizing problems, behavioral inhibition, dizziness, comfort in classroom, physical complaints, attention problems, cooperation, self/effortful control, interpersonal life events and computer use partially explained the association between sex and MDD at age 19. The association between sex and MDD at age 25 was explained by largely the same variables, but also by shyness, acne, antisocial behavior, aggression, affection from peers and time spent shopping. The explanatory roles of internalizing problems, behavioral inhibition, negative events involving gossip/rumors and leisure-time spending (computer-use/shopping) were replicated. LimitationsPotentially important baseline variables were not included or had low response rates. Gender roles or identification were not considered. Baseline MDD was not adjusted for. ConclusionThe sex-MDD association is partially explained by sex differences in symptoms and vulnerability factors already present in early adolescence.

Social determinants of mental health in major depressive disorder: Umbrella review of 26 meta-analyses and systematic reviews

There is a growing recognition of the impact of social determinants of mental health (SDoMHs) on people with, or at risk of, developing serious mental illnesses. Yet it is not known how associations of individual SDoMHs with risk for major depressive disorder (MDD) vary and roughly compare with one another. Following PRISMA guidelines, this umbrella review included 26 meta-analyses and systematic reviews that reported odds ratios, effect sizes, and/or pooled prevalence rates of MDD in samples with versus without specified SDoMHs. Childhood emotional, physical, or sexual abuse and neglect; intimate partner violence in females; and food insecurity were significantly associated with increased risk of MDD, with medium effect sizes. Natural disasters, terrorist acts, and military combat during deployment had small-size adverse effects, and homelessness, incarceration, and migration were associated with significantly elevated prevalence of MDD. Conversely, higher levels of parental care were significantly associated with reduced risk of MDD with medium effect sizes. Evidence supports the use of certain interventions at the individual and community level that can reduce the impact of these factors and promote health, although much more research is warranted in this area along with meaningful healthcare and societal policies to accomplish this goal.

Global prevalence of major depressive disorder, generalized anxiety, stress, and depression among infertile women: a systematic review and meta-analysis.

In recent years, the global prevalence of infertility has increased among women (Talmor and Dunphy, Best Pract Res Clin Obstet Gynaecol 29(4):498-506, 2015) and is considered as a public health concern. One of the impacts of infertility is mental health problems in the patients, which can lead to complications such as stress, anxiety, and depression. The aim of this study is to investigate the global prevalence of major depressive disorder, general anxiety, stress, and depression in infertile women through a systematic review and meta-analysis. To identify studies that have reported the prevalence of major depressive disorder, generalized anxiety, stress, and depression in infertile women, the PubMed, Scopus, Web of Science, Embase, ScienceDirect, and Google Scholar repositories were systematically searched. Articles published up until February 2023 were included, while no lower time limit was imposed in the search strategy. Heterogeneity of studies was examined using the I2 test and, thus, random-effects model was used to perform the analysis. Data analysis was conducted within the Comprehensive Meta-Analysis (v.2) software. In the review of 44 studies with a sample size of 53,300 infertile female patients, the overall prevalence of major depressive disorder (clinical depression), generalized anxiety, stress, and depression was found to be 22.9%, 13.3%, 78.8%, and 31.6% respectively. It was also found that mental health complications are more prevalent among infertile women in Asia (continent). Considering the prevalence of mental disorders among infertile women, health policymakers can use the results of the present meta-analysis to pay more attention to the mental health of infertile women and devise suitable interventions and programs to reduce and prevent the spread of psychological disorders among infertile women.

Devastating Wildfires and Mental Health: Major Depressive Disorder Prevalence and Associated Factors among Residents in Alberta and Nova Scotia, Canada.

Background: Since March 2023, hundreds of fires have burned from coast to coast throughout the country, placing Canada on track to have the worst wildfire season ever recorded. From East to West, provinces such as Quebec, Ontario, Nova Scotia, Alberta, and British Columbia have been particularly affected by large and uncontrollable wildfires. Objectives: The objective of this study was to determine the prevalence of depression symptoms and predictors among residents living in extreme climate conditions during the Canadian wildfires of 2023 in Alberta and Nova Scotia and to update the literature with data related to those wildfires. Methods: A cross-sectional quantitative survey was conducted in this study. REDCap was used to administer an online survey between 14 May and 23 June 2023. Through the Text4Hope program, participants subscribe to receive supportive SMS messages daily. As part of the initial welcome message, participants were invited to complete an online questionnaire, containing demographic information, wildfire-related information, and responses to the Patient Health Questionnaire-9 (PHQ-9) for depression assessment. SPSS version 25 was used to analyze the data. Descriptive, univariate, and multivariate regression analyses were employed. Results: A total of 298 respondents completed the survey out of 1802 who self-subscribed to the Text4Hope program in Alberta and Nova Scotia and received a link to the online survey, producing a response rate of 16.54%. Most of the respondents were females (85.2%, 253), below 40 years of age (28.3%, 84), employed (63.6%, 189), and in a relationship (56.4%, 167). A historical depression diagnosis (OR = 3.15; 95% CI: 1.39-7.14) was a significant predictor of moderate to severe MDD in our study. The unemployed individuals were two times more likely to report moderate to severe symptoms of MDD than employed individuals (OR = 2.46; 95% CI: 1.06-5.67). Among the total sample population, the moderate to severe MDD prevalence was 50.4%, whereas it was 56.1% among those living in areas affected by wildfires. Conclusion: Based on our study findings, unemployment and a history of depression diagnosis were independently significant risk factors associated with the developing moderate to severe MDD symptoms during wildfire disasters. Further research is required to identify robust predictors of mental health disorders in disaster survivors and provide appropriate interventions to the most vulnerable communities and individuals.

The Association of Sexual Minority Status with the Prevalence, Diagnosis, and Treatment of Depression among NYC Adults.

Major depressive disorder (MDD) is a common mental health disorder with a lifetime prevalence of 20.6% among United States (US) adults. Multiple US surveys have shown a consistently higher burden of mental health struggles among lesbian, gay, bisexual, trans, and questioning (LGBTQ+) adults compared to non-LGBTQ+ adults. However, it is not known whether diagnosis and treatment for those adults who do report symptoms of MDD differ based on sexual orientation.We test for differences in prevalence, diagnosis, and treatment of MDD in sexual minorities using appropriate multivariable logistic regression using the New York City Health and Nutrition Examination Survey (NYC HANES).About 10% of NYC adults (≥ 20 years old) self-identify as a sexual minority and 8.5% of adults in NYC have MDD based on the Patient Health Questionnaire (PHQ-9) score. Significantly higher proportion of sexual minorities in NYC have depression compared to non-sexual minorities (17.7% vs. 7.6%, p = 0.01). In the multivariable model, sexual minorities were 2.33 (CI = [1.24-4.39], p = 0.009) times more likely to have depression compared to non-sexual minorities. Additionally, people with multimorbidity were more likely to be diagnosed for depression (OR = 3.78, CI = [1.33, 10.75], p = 0.013).Disparities exist in the prevalence, diagnosis, and treatment of MDD in NYC adults. Targeted outreach toward the LGBTQ + community should be considered by public health officials when designing primary and secondary prevention programs for depression.

The PERSIAN Cohort: Prevalence of Psychiatric Disorders Among Employees.

Considering the impact of psychiatric disorders on the productivity of individuals and society's economy, we aimed to determine the prevalence of psychiatric disorders among the employees of Tabriz University of Medical Sciences. This cross-sectional study was conducted on 1282 employees of Tabriz University of Medical Sciences in 2019. The required data were collected by trained psychologists using Composite International Diagnostic Interview (CIDI). In this process, psychiatric disorders were considered dependent variables, and demographic variables as independent variables. The relationship between independent and dependent variables was assessed using the chi-square test and Binary logistic regression in Stata version 17. The prevalence of generalized anxiety disorder (GAD), major depressive disorder (MDD), and obsessive-compulsive disorder (OCD) among employees was 14.12%, 12.48%, and 3.9%, respectively. The prevalence of GAD in women was significantly higher than men (17.06% vs. 10.02%, P<0.001). The prevalence of GAD was 42.86%, 15.97%, 13.49%, and 16.67 in widowed, single, married, and divorced employees, respectively (P=0.016). The prevalence of MDD in women was significantly higher than men (16.59% vs. 7.64%, P<0.001). The prevalence of MDD was 16.3%, 11.2%, 9.6%, and 8.56% in employees with Bachelor's, Associate, Master's degree, and High school diploma, respectively (P=0.009). Considering the relatively high prevalence of GAD and MDD among the employees of Tabriz University of Medical Sciences, strengthening counseling centers in the university and encouraging employees to participate in these centers, and examining them in terms of mental health help identify people at risk of mental disorders in time and provide counseling services to these people.

Depression and anxiety among patients with epilepsy: A cross-sectional study from Riyadh, Saudi Arabia.

It is well established that epileptic disorders are associated with a wide range of psychosocial issues that overburden the affected individuals and limit their lifestyle. This study aimed to determine the commonalities between depression and anxiety symptoms among patients with epilepsy (PWE). In addition, we assessed whether depression and anxiety rates varied depending on factors related to the disease. A cross-sectional study was conducted between October 2021 and March 2022 among all PWE at Prince Mohammed bin Abdulaziz Hospital, and 147 patients who responded to the questionnaires were included for analysis (65.6% response rate). Depression was measured using the Patient Health Questionnaire depression scale (PHQ-9), while anxiety levels were measured using the Generalized Anxiety Disorder scale (GAD-7). Demographic variables such as sex, age, marital status, and factors related to epilepsy were also recorded. The results showed that 39.5% and 27.9% of participants had major depressive disorder (MDD) and generalized anxiety disorder (GAD), respectively. The presence of factors that increased susceptibility to seizures was associated with a greater expression of depression (P = 0.035) and anxiety (P = 0.002) symptoms. The presence of symptoms/signs that precede seizures was associated with a higher risk of moderate and severe depression (P = 0.001) and moderate and severe anxiety (P < 0.001). Irregular use of medications was associated with a higher risk of moderate and severe depression (P = 0.037); however, lamotrigine was associated with lower rates of depression among the participants (P = 0.023). This study found that PWE had a higher prevalence of MDD and GAD than the general population. However, this accepted paradigm has yet to reflect a meaningful change in constructing condition-specific recommendations for PWE. Our study revealed that the presence of subjectively recognized signs of an impending ictal episode was significantly associated with a higher risk of moderate and severe depression and anxiety. Furthermore, factors that increase the susceptibility to seizures were associated with a higher risk of depression and anxiety. Irregular medication use was associated with a higher risk of moderate and severe depression. However, lamotrigine was associated with lower rates of depression among participants.

Cardiac autonomic function is preserved in young adults with major depressive disorder.

The prevalence of major depressive disorder (MDD) is highest in young adults and contributes to an increased risk of developing future cardiovascular disease (CVD). However, the underlying mechanisms remain unclear. The studies examining cardiac autonomic function that have included young unmedicated adults with MDD report equivocal findings, and few have considered the potential influence of disease severity or duration. We hypothesized that heart rate variability (HRV) and cardiac baroreflex sensitivity (BRS) would be reduced in young unmedicated adults with MDD (18-30 yr old) compared with healthy nondepressed young adults (HA). We further hypothesized that greater symptom severity would be related to poorer cardiac autonomic function in young adults with MDD. Heart rate and beat-to-beat blood pressure were continuously recorded during 10 min of supine rest to assess HRV and cardiac BRS in 28 HA (17 female, 22 ± 3 yr old) and 37 adults with MDD experiencing current symptoms of mild-to-moderate severity (unmedicated; 28 female, 20 ± 3 yr old). Neither HRV [root mean square of successive differences between normal heartbeats (RMSSD): 63 ± 34 HA vs. 79 ± 36 ms MDD; P = 0.14] nor cardiac BRS (overall gain, 21 ± 10 HA vs. 23 ± 7 ms/mmHg MDD; P = 0.59) were different between groups. In young adults with MDD, there was no association between current depressive symptom severity and either HRV (RMSSD, R2 = 0.004, P = 0.73) or cardiac BRS (overall gain, R2 = 0.02, P = 0.85). Taken together, these data suggest that cardiac autonomic dysfunction may not contribute to elevated cardiovascular risk factor profiles in young unmedicated adults with MDD of mild-to-moderate severity.NEW & NOTEWORTHY This study investigated cardiac autonomic function in young unmedicated adults with major depressive disorder (MDD). The results demonstrated that both heart rate variability and cardiac baroreflex sensitivity were preserved in young unmedicated adults with MDD compared with healthy nondepressed young adults. Furthermore, in young adults with MDD, current depressive symptom severity was not associated with any indices of cardiac autonomic function.

Mitochondrial and Cellular Function in Fibroblasts, Induced Neurons, and Astrocytes Derived from Case Study Patients: Insights into Major Depression as a Mitochondria-Associated Disease.

The link between mitochondria and major depressive disorder (MDD) is increasingly evident, underscored both by mitochondria's involvement in many mechanisms identified in depression and the high prevalence of MDD in individuals with mitochondrial disorders. Mitochondrial functions and energy metabolism are increasingly considered to be involved in MDD's pathogenesis. This study focused on cellular and mitochondrial (dys)function in two atypical cases: an antidepressant non-responding MDD patient ("Non-R") and another with an unexplained mitochondrial disorder ("Mito"). Skin biopsies from these patients and controls were used to generate various cell types, including astrocytes and neurons, and cellular and mitochondrial functions were analyzed. Similarities were observed between the Mito patient and a broader MDD cohort, including decreased respiration and mitochondrial function. Conversely, the Non-R patient exhibited increased respiratory rates, mitochondrial calcium, and resting membrane potential. In conclusion, the Non-R patient's data offered a new perspective on MDD, suggesting a detrimental imbalance in mitochondrial and cellular processes, rather than simply reduced functions. Meanwhile, the Mito patient's data revealed the extensive effects of mitochondrial dysfunctions on cellular functions, potentially highlighting new MDD-associated impairments. Together, these case studies enhance our comprehension of MDD.

Depression as comorbidity in Sundanese epilepsy patients

Background: Depressive disorder is a common psychiatric comorbidity in patients with epilepsy (PWE). This health condition is prevalent among the Sundanese who have a calm and polite character, with a tendency to hide their feelings, which is associated with an increased risk of depression. Methods: This cross-sectional study aimed to determine the prevalence of major depressive disorder (MDD) and the associated factors among Sundanese PWE. The study was carried out in the neurology outpatient clinic at Hasan Sadikin General Hospital Bandung, consisting of the Sunda ethnic group as the majority of patients. Self-stigma degree was measured using the Indonesian version of Internalized Stigma of Epilepsy (ISEP) questionnaire, while depression symptom was screened through the Indonesian version of Neurological Disorders Depression Inventory for Epilepsy (NDDI-E). Subsequently, patients who had depression symptoms were referred to a psychiatrist to confirm whether their conditions matched the criteria of MDD according to the Diagnostic and Statistical Manual of Mental Disorder-5. Results: The prevalence of depressive symptoms in Sundanese epilepsy patients was found to be 18.4%, and MDD was 6.8% among 103 patients included in this study. Many PWE with MDD were not married, had uncontrolled seizures, used polytherapy anti-seizure medication, and exhibited a higher degree of self-stigma. Conclusion: In this study, the prevalence of MDD was found to be 6.8% among a cohort of Sundanese PWE. A significant relationship was also observed between MDD and several factors, including single status, uncontrolled seizure, polytherapy, and a higher degree of self-stigma.