The long-term spatio-temporal trends in burden and attributable risk factors of major depressive disorder at global, regional and national levels during 1990-2019: a systematic analysis for GBD 2019.

AIMS: Caused by multiple risk factors, heavy burden of major depressive disorder (MDD) poses serious challenges to public health worldwide over the past 30 years. Yet the burden and attributable risk factors of MDD were not systematically known. We aimed to reveal the long-term spatio-temporal trends in the burden and attributable risk factors of MDD at global, regional and national levels during 1990-2019. METHODS: We obtained MDD and attributable risk factors data from Global Burden of Disease Study 2019. We used joinpoint regression model to assess the temporal trend in MDD burden, and age-period-cohort model to measure the effects of age, period and birth cohort on MDD incidence rate. We utilized population attributable fractions (PAFs) to estimate the specific proportions of MDD burden attributed to given risk factors. RESULTS: During 1990-2019, the global number of MDD incident cases, prevalent cases and disability-adjusted life years (DALYs) increased by 59.10%, 59.57% and 58.57%, respectively. Whereas the global age-standardized incidence rate (ASIR), age-standardized prevalence rate (ASPR) and age-standardized DALYs rate (ASDR) of MDD decreased during 1990-2019. The ASIR, ASPR and ASDR in women were 1.62, 1.62 and 1.60 times as that in men in 2019, respectively. The highest age-specific incidence, prevalence and DALYs rate occurred at the age of 60-64 in women, and at the age of 75-84 in men, but the maximum increasing trends in these age-specific rates occurred at the age of 5-9. Population living during 2000-2004 had higher risk of MDD. MDD burden varied by socio-demographic index (SDI), regions and nations. In 2019, low-SDI region, Central sub-Saharan Africa and Uganda had the highest ASIR, ASPR and ASDR. The global PAFs of intimate partner violence (IPV), childhood sexual abuse (CSA) and bullying victimization (BV) were 8.43%, 5.46% and 4.86% in 2019, respectively. CONCLUSIONS: Over the past 30 years, the global ASIR, ASPR and ASDR of MDD had decreased trends, while the burden of MDD was still serious, and multiple disparities in MDD burden remarkably existed. Women, elderly and populations living during 2000-2004 and in low-SDI regions, had more severe burden of MDD. Children were more susceptible to MDD. Up to 18.75% of global MDD burden would be eliminated through early preventing against IPV, CSA and BV. Tailored strategies-and-measures in different regions and demographic groups based on findings in this studywould be urgently needed to eliminate the impacts of modifiable risk factors on MDD, and then mitigate the burden of MDD.

Towards precision in the diagnostic profiling of patients: leveraging symptom dynamics as a clinical characterisation dimension in the assessment of major depressive disorder.

BACKGROUND: International guidelines present overall symptom severity as the key dimension for clinical characterisation of major depressive disorder (MDD). However, differences may reside within severity levels related to how symptoms interact in an individual patient, called symptom dynamics. AIMS: To investigate these individual differences by estimating the proportion of patients that display differences in their symptom dynamics while sharing the same overall symptom severity. METHOD: Participants with MDD (n = 73; mean age 34.6 years, s.d. = 13.1; 56.2% female) rated their baseline symptom severity using the Inventory for Depressive Symptomatology Self-Report (IDS-SR). Momentary indicators for depressive symptoms were then collected through ecological momentary assessments five times per day for 28 days; 8395 observations were conducted (average per person: 115; s.d. = 16.8). Each participant's symptom dynamics were estimated using person-specific dynamic network models. Individual differences in these symptom relationship patterns in groups of participants sharing the same symptom severity levels were estimated using individual network invariance tests. Subsequently, the overall proportion of participants that displayed differential symptom dynamics while sharing the same symptom severity was calculated. A supplementary simulation study was conducted to investigate the accuracy of our methodology against false-positive results. RESULTS: Differential symptom dynamics were identified across 63.0% (95% bootstrapped CI 41.0-82.1) of participants within the same severity group. The average false detection of individual differences was 2.2%. CONCLUSIONS: The majority of participants within the same depressive symptom severity group displayed differential symptom dynamics. Examining symptom dynamics provides information about person-specific psychopathological expression beyond severity levels by revealing how symptoms aggravate each other over time. These results suggest that symptom dynamics may be a promising new dimension for clinical characterisation, warranting replication in independent samples. To inform personalised treatment planning, a next step concerns linking different symptom relationship patterns to treatment response and clinical course, including patterns related to spontaneous recovery and forms of disorder progression.

Real-world evidence from a retrospective study on suicide during depression: clinical characteristics, treatment patterns and disease burden.

BACKGROUND: Suicide stands as both a primary symptom and the direst outcome of major depressive disorder (MDD). The scarcity of effective treatment strategies makes managing MDD patients with suicide especially challenging. Hence, it is crucial to investigate disease characteristics and efficacious therapeutic strategies for these patients, drawing insights from disease databases and real-world data. METHODS: In this retrospective study, MDD patients hospitalized between January 2013 and December 2020 were investigated using Electronic Health Records (EHR) data from Beijing Anding Hospital. The study enrolled 4138 MDD patients with suicidal ideation or behavior (MDS) and 3848 without (MDNS). Demographic data, clinical attributes, treatment approaches, disease burden, and re-hospitalization within one year of discharge were extracted and compared. RESULTS: Patients in the MDS group were predominantly younger and female, exhibiting a higher prevalence of alcohol consumption, experiencing frequent life stress events, and having an earlier onset age. Re-hospitalizations within six months post-discharge in the MDS group were significantly higher than in the MDNS group (11.36% vs. 8.91%, p < 0.001). Moreover, a more considerable fraction of MDS patients underwent combined electroconvulsive therapy treatment (56.72% vs. 43.71%, p < 0.001). Approximately 38% of patients in both groups were prescribed two or more therapeutic regimes, and over 90% used antidepressants, either alone or combined. Selective serotonin reuptake inhibitors (SSRIs) were the predominant choice in both groups. Furthermore, antidepressants were often prescribed with antipsychotics or mood stabilizers. When medication alterations were necessary, the favoured options involved combination with antipsychotics or transitioning to alternative antidepressants. Yet, in the MDS group, following these initial modifications, the addition of mood stabilizers tended to be the more prioritized alternative. CONCLUSIONS: MDD patients with suicidal ideation or behaviour displayed distinctive demographic and clinical features. They exhibited intricate treatment patterns, a pronounced burden of illness, and an increased likelihood of relapse.

Lower odds of successful community discharge after medical hospitalization for Veterans with schizophrenia: A retrospective cohort study of national data.

Medical comorbidity, particularly cardiovascular diseases, contributes to high rates of hospital admission and early mortality in people with schizophrenia. The 30 days following hospital discharge represents a critical period for mitigating adverse outcomes. This study examined the odds of successful community discharge among Veterans with schizophrenia compared to those with major affective disorders and those without serious mental illness (SMI) after a heart failure hospital admission. Data for Veterans hospitalized for heart failure were obtained from the Veterans Health Administration (VHA) and Centers for Medicare & Medicaid Services between 2011 and 2019. Psychiatric diagnoses and medical comorbidities were assessed in the year prior to hospitalization. Successful community discharge was defined as remaining in the community without hospital readmission, death, or hospice for 30 days after hospital discharge. Logistic regression analyses adjusting for relevant factors were used to examine whether individuals with a schizophrenia diagnosis showed lower odds of successful community discharge versus both comparison groups. Out of 309,750 total Veterans in the sample, 7377 (2.4%) had schizophrenia or schizoaffective disorder and 32,472 (10.5%) had major affective disorders (bipolar disorder or recurrent major depressive disorder). Results from adjusted logistic regression analyses demonstrated significantly lower odds of successful community discharge for Veterans with schizophrenia compared to the non-SMI (Odds Ratio [OR]: 0.63; 95% Confidence Interval [CI]: 0.60, 0.66) and major affective disorders (OR: 0.65, 95%; CI: 0.62, 0.69) groups. Intervention efforts should target the transition from hospital to home in the subgroup of Veterans with schizophrenia.

Multimodal digital assessment of depression with actigraphy and app in Hong Kong Chinese.

There is an emerging potential for digital assessment of depression. In this study, Chinese patients with major depressive disorder (MDD) and controls underwent a week of multimodal measurement including actigraphy and app-based measures (D-MOMO) to record rest-activity, facial expression, voice, and mood states. Seven machine-learning models (Random Forest [RF], Logistic regression [LR], Support vector machine [SVM], K-Nearest Neighbors [KNN], Decision tree [DT], Naive Bayes [NB], and Artificial Neural Networks [ANN]) with leave-one-out cross-validation were applied to detect lifetime diagnosis of MDD and non-remission status. Eighty MDD subjects and 76 age- and sex-matched controls completed the actigraphy, while 61 MDD subjects and 47 controls completed the app-based assessment. MDD subjects had lower mobile time (P = 0.006), later sleep midpoint (P = 0.047) and Acrophase (P = 0.024) than controls. For app measurement, MDD subjects had more frequent brow lowering (P = 0.023), less lip corner pulling (P = 0.007), higher pause variability (P = 0.046), more frequent self-reference (P = 0.024) and negative emotion words (P = 0.002), lower articulation rate (P < 0.001) and happiness level (P < 0.001) than controls. With the fusion of all digital modalities, the predictive performance (F1-score) of ANN for a lifetime diagnosis of MDD was 0.81 and 0.70 for non-remission status when combined with the HADS-D item score, respectively. Multimodal digital measurement is a feasible diagnostic tool for depression in Chinese. A combination of multimodal measurement and machine-learning approach has enhanced the performance of digital markers in phenotyping and diagnosis of MDD.

Burden of depressive disorders in Vietnam from 1990 to 2019: A secondary analysis of the Global Burden of Disease Study 2019.

Depressive disorders are among the leading causes of disability globally. However, information on the burden of depressive disorders in Vietnam is limited. We aimed to analyse the burden of depressive disorders in Vietnam from 1990 to 2019. Using data from the Global Burden of Disease Study 2019, prevalence and disability-adjusted life-years (DALYs) were used as indicators to analyse the burden of depressive disorders by age and sex. In 2019 in Vietnam, depressive disorders comprised 2629.1 thousand (95% uncertainty interval (UI): 2233.3-3155.9) estimated cases and 380.6 thousand (95% UI: 258.9-533.8) estimated DALYs. The crude prevalence rate of depressive disorders was higher among females than among males. The DALYs of depressive disorder accounted for a higher percentage of the total all-cause DALYs in the 10-64-year age group than in other age groups. Major depressive disorder was the largest contributor to the burden of depressive disorders. From 1990 to 2019, the crude prevalence and DALY rates per 100 000 population due to depressive disorders increased significantly, whereas age-standardised rates of prevalence and DALYs decreased significantly; the respective average annual percent changes were 0.88% (95% confidence interval: 0.87 to 0.89), 0.68% (0.66 to 0.70), -0.20% (-0.21 to -0.19), and -0.27% (-0.28 to -0.25). Although the age-standardised prevalence rate was lower than that seen globally, depressive disorders were considerable mental health issues in Vietnam. This study will help governments and policymakers to establish appropriate strategies to reduce the burden of these disorders by identifying the priority areas and individuals.

Complexity of patients with mental healthcare needs cared for by mental health clinical pharmacist practitioners in Veterans Affairs.

PURPOSE: The complexity of patients with mental healthcare needs cared for by clinical pharmacists is not well delineated. We evaluated the complexity of patients with schizophrenia, bipolar disorder, and major depressive disorder (MDD) in Veterans Affairs (VA) cared for by mental health clinical pharmacist practitioners (MH CPPs). METHODS: Patients at 42 VA sites with schizophrenia, bipolar disorder, or MDD in 2016 through 2019 were classified by MH CPP visits into those with 2 or more visits ("ongoing MH CPP care"), those with 1 visit ("consultative MH CPP care"), and those with no visits ("no MH CPP care"). Patient complexity for each condition was defined by medication regimen and service utilization. RESULTS: For schizophrenia, more patients in ongoing MH CPP care were complex than those with no MH CPP care, based on all measures examined: the number of primary medications (15.3% vs 8.1%), inpatient (13.7% vs 9.1%) and outpatient (42.6% vs 29.7%) utilization, and receipt of long-acting injectable antipsychotics (36.7% vs 25.8%) and clozapine (20.5% vs 9.5%). For bipolar disorder, more patients receiving ongoing or consultative MH CPP care were complex than those with no MH CPP care based on the number of primary medications (27.9% vs 30.5% vs 17.7%) and overlapping mood stabilizers (10.1% vs 11.6% vs 6.2%). For MDD, more patients receiving ongoing or consultative MH CPP care were complex based on the number of primary medications (36.8% vs 35.5% vs 29.2%) and augmentation of antidepressants (56.1% vs 54.4% vs 47.0%) than patients without MH CPP care. All comparisons were significant (P < 0.01). CONCLUSION: MH CPPs provide care for complex patients with schizophrenia, bipolar disorder, and MDD in VA.

The Humanistic and Economic Burden Associated with Major Depressive Disorder: A Retrospective Cross-Sectional Analysis.

INTRODUCTION: Major depressive disorder (MDD) is a debilitating and costly condition. This analysis characterized the health-related quality of life (HRQoL), health care resource utilization (HCRU), and costs between patients with versus without MDD, and across MDD severity levels. METHODS: The 2019 National Health and Wellness Survey was used to identify adults with MDD, who were stratified by disease severity (minimal/mild, moderate, moderately severe, severe), and those without MDD. Outcomes included HRQoL (Short Form-36v2 Health Survey, EuroQol Five-Dimension Visual Analogue Scale, utility scores), HCRU (hospitalizations, emergency department [ED] visits, health care provider [HCP] visits), and annualized average direct medical and indirect (workplace) costs. A subgroup analysis was conducted in participants with MDD and prior medication treatment failure. Participant characteristics and study outcomes were evaluated using bivariate analyses and multivariable regression models, respectively. RESULTS: Cohorts comprised 10,710 participants with MDD (minimal/mild = 5905; moderate = 2206; moderately severe = 1565; severe = 1034) and 52,687 participants without MDD. Participants with MDD had significantly lower HRQoL scores than those without (each comparison, P < 0.001). Increasing MDD severity was associated with decreasing HRQoL. Relative to participants without MDD, participants with MDD reported more HCP visits (2.72 vs 5.64; P < 0.001) and ED visits (0.18 vs 0.22; P < 0.001) but a similar number of hospitalizations. HCRU increased with increasing MDD severity. Although most patients with MDD had minimal/mild to moderate severity, total direct medical and indirect costs were significantly higher for participants with versus without MDD ($8814 vs $6072 and $5425 vs $3085, respectively, both P < 0.001). Direct and indirect costs were significantly higher across all severity levels versus minimal/mild MDD (each comparison, P < 0.05). Among patients with prior MDD medication treatment failure (n = 1077), increasing severity was associated with significantly lower HRQoL and higher total indirect costs than minimal/mild MDD. CONCLUSION: These results quantify the significant and diverse burdens associated with MDD and prior MDD medication treatment failure.

This study described the burdens associated with major depressive disorder. To accomplish this, we compared outcomes from a national health survey between patients who had a diagnosis of major depressive disorder and those who did not. Participants with major depressive disorder were further characterized by the severity of their symptoms. The first outcome was health-related quality of life and the second outcome was the amount of health visits, such as the number of hospitalizations, emergency department visits, and visits with health care providers. Finally, health care-related costs and workplace-related costs were evaluated. Survey participants with major depressive disorder had lower health-related quality of life scores compared with those without major depressive disorder. Increasing severity of major depressive disorder was linked with decreasing health-related quality of life. Participants with major depressive disorder also reported more health care provider and emergency department visits relative to participants without the disorder, although they both reported a similar number of hospitalizations. Both health care-related and workplace-related costs were higher in participants with major depressive disorder than in those without major depressive disorder, and costs were higher among participants with more severe symptoms compared with minimal/mild symptoms. Among participants who had major depressive disorder and reported that their current medication had replaced an old medication because of a lack of response, increasing major depressive disorder severity was associated with significantly lower health-related quality of life scores and higher total workplace-related costs versus minimal/mild major depressive disorder.

Genetic and phenotypic similarity across major psychiatric disorders: a systematic review and quantitative assessment.

There is widespread overlap across major psychiatric disorders, and this is the case at different levels of observations, from genetic variants to brain structures and function and to symptoms. However, it remains unknown to what extent these commonalities at different levels of observation map onto each other. Here, we systematically review and compare the degree of similarity between psychiatric disorders at all available levels of observation. We searched PubMed and EMBASE between January 1, 2009 and September 8, 2022. We included original studies comparing at least four of the following five diagnostic groups: Schizophrenia, Bipolar Disorder, Major Depressive Disorder, Autism Spectrum Disorder, and Attention Deficit Hyperactivity Disorder, with measures of similarities between all disorder pairs. Data extraction and synthesis were performed by two independent researchers, following the PRISMA guidelines. As main outcome measure, we assessed the Pearson correlation measuring the degree of similarity across disorders pairs between studies and biological levels of observation. We identified 2975 studies, of which 28 were eligible for analysis, featuring similarity measures based on single-nucleotide polymorphisms, gene-based analyses, gene expression, structural and functional connectivity neuroimaging measures. The majority of correlations (88.6%) across disorders between studies, within and between levels of observation, were positive. To identify a consensus ranking of similarities between disorders, we performed a principal component analysis. Its first dimension explained 51.4% (95% CI: 43.2, 65.4) of the variance in disorder similarities across studies and levels of observation. Based on levels of genetic correlation, we estimated the probability of another psychiatric diagnosis in first-degree relatives and showed that they were systematically lower than those observed in population studies. Our findings highlight that genetic and brain factors may underlie a large proportion, but not all of the diagnostic overlaps observed in the clinic.

Availability of Mental Telehealth Services in the US.

Importance: Telehealth utilization for mental health care remains much higher than it was before the COVID-19 pandemic; however, availability may vary across facilities, geographic areas, and by patients' demographic characteristics and mental health conditions. Objective: To quantify availability, wait times, and service features of telehealth for major depressive disorder, general anxiety disorder, and schizophrenia throughout the US, as well as facility-, client-, and county-level characteristics associated with telehealth availability. Design, Settings, and Participants: Cross-sectional analysis of a secret shopper survey of mental health treatment facilities (MHTFs) throughout all US states except Hawaii from December 2022 and March 2023. A nationally representative sample of 1938 facilities were contacted; 1404 (72%) responded and were included. Data analysis was performed from March to July 2023. Exposure: Health facility, client, and county characteristics. Main Outcome and Measures: Clinic-reported availability of telehealth services, availability of telehealth services (behavioral treatment, medication management, and diagnostic services), and number of days until first telehealth appointment. Multivariable logistic and linear regression analyses were conducted to assess whether facility-, client-, and county-level characteristics were associated with each outcome. Results: Of the 1221 facilities (87%) accepting new patients, 980 (80%) reported offering telehealth. Of these, 97% (937 facilities) reported availability of counseling services; 77% (726 facilities), medication management; and 69% (626 facilities) diagnostic services. Telehealth availability did not differ by clinical condition. Private for-profit (adjusted odds ratio [aOR], 1.75; 95% CI, 1.05-2.92) and private not-for-profit (aOR, 2.20; 95% CI, 1.42-3.39) facilities were more likely to offer telehealth than public facilities. Facilities located in metropolitan counties (compared with nonmetropolitan counties) were more likely to offer medication management services (aOR, 1.83; 95% CI, 1.11-3.00) but were less likely to offer diagnostic services (aOR, 0.67; 95% CI, 0.47-0.95). Median (range) wait time for first telehealth appointment was 14 (4-75) days. No differences were observed in availability of an appointment based on the perceived race, ethnicity, or sex of the prospective patient. Conclusions and Relevance: The findings of this cross-sectional study indicate that there were no differences in the availability of mental telehealth services based on the prospective patient's clinical condition, perceived race or ethnicity, or sex; however, differences were found at the facility-, county-, and state-level. These findings suggest widespread disparities in who has access to which telehealth services throughout the US.

Assessment of biomarker stability and assay performance parameters for medical diagnosis: a case study of diagnosis of major depressive disorder.

Aim: Assessing the stability profiles and assay performance of 24 biomarker assays in 32 biomarker/body fluid combinations identified as relevant for prediction of major depressive disorder. Materials & methods: Combinations were tested for stability and assay performance with ELISA at different storage and freeze-thaw conditions in pooled samples of 40 patients. Results: Stability and assay performance issues were found in almost all cases except three biomarkers in urine and three in serum. Conclusion: This study shows that, to produce reliable measurement data, assessments of stability and assay performance are essential. In development, other quality assurance parameters might be implemented to increase the level of measurement reliability by increasing assay performance control.

Prevalence of suicidal ideation in German psychotherapy outpatients: A large multicenter assessment.

BACKGROUND: Suicidal ideation is a major concern in clinical practice. Yet, little is known about prevalence rates of suicidal ideation in patients undergoing outpatient psychotherapeutic treatment. Therefore, the aim of the current study is to assess the prevalence of suicidal ideation in a large sample of psychotherapy outpatients in Germany. The data analyzed in this study is taken from the KODAP-project on the coordination of data collection and analysis at German university-based research and training outpatient clinics for psychotherapy. METHODS: A total of N = 10,357 adult outpatients (64.4 % female; age: M(SD) = 35.94 (13.54), range: 18-92 years of age) starting cognitive-behavioral therapy at one of 27 outpatient clinics in Germany were included in the current study. Prevalence of suicidal ideation was assessed with the Suicide Item (Item 9) of the Beck-Depression Inventory II. RESULTS: Suicidal ideation was reported by 36.7 % (n = 3795) of the participants. Borderline Personality Disorder, Posttraumatic Stress Disorder, and recurrent Major Depression were the diagnoses most strongly associated with the presence and severity of suicidal ideation. LIMITATION: Suicide ideation was assessed only with the respective item of the Beck Depression Inventory II. CONCLUSION: Suicidal ideation is very common among adult patients who start psychotherapy in Germany. A well-founded knowledge of risk assessment in suicidal patients and suicide-specific treatment options is therefore highly relevant.

Cost-effectiveness of a mindful yoga intervention added to treatment as usual for young women with major depressive disorder versus treatment as usual only: Cost-effectiveness of yoga for young women with depression.

In a randomized controlled trial in the Netherlands, we studied the (cost)effectiveness of adding a mindful yoga intervention (MYI+TAU) to treatment as usual (TAU) for young women with major depressive disorder (MDD). In this paper, we present the results of the economic analyses. Societal costs and health outcomes were prospectively assessed during 15 months for all randomized participants (n = 171). Symptoms of depression (Depression Anxiety and Stress Scales; DASS) and quality adjusted life years (QALYs) were used as health outcomes in the economic analyses. Mean total societal costs during the 15 months of the study were €11.966 for the MYI+TAU group and €13.818 for the TAU group, differences in mean total societal costs were not statistically significant. Health outcomes (DASS and QALY) were slightly in favour of MYI+TAU, but differences between groups were not statistically significant. Combining costs and health outcomes in cost-effectiveness analyses indicated that MYI+TAU is likely to be cost-effective compared to TAU which was confirmed by sensitivity analyses. Although there were limitations in the cost-effectiveness analysis, findings from this study suggest that MYI+TAU warrants future attention for the potential to be cost-effective compared to TAU for young women with MDD.

Burden and Epidemiology of Mental Disorders in the Middle East and North Africa from 1990 to 2019: Findings from the Global Burden of Disease Study

Background: Previous studies have mainly focused on individual mental disorders, and there is no study addressing the total burden of mental disorders in the Middle East and North Africa (MENA). Aims: To evaluate the burden of mental disorders in the MENA region from 1990 to 2019. Study Design: A cross-sectional study. Methods: We utilized global burden of disease data to examine the burden of 12 mental disorders from 1990 to 2019 across age groups, genders, and the 21 MENA countries. We collected data on prevalence, incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years (DALY), including both crude and age-standardized rates per 100,000 people. Results: The DALY rate of mental disorders in MENA countries increased by 13.88% from 1,747.92 per 100,000 people in 1990 to 1990.5 per 100,000 people in 2019. The highest percentage increases in the DALY rates of mental disorders were observed for bulimia nervosa (35.69%), other mental health disorders (34.58%), and schizophrenia (33.02%) from 1990 to 2019. However, the DALY rates for idiopathic developmental intellectual disability (-26.48%), conduct disorder (-23.91%), attentiondeficit/ hyperactivity disorder (-16.46%), and autism spectrum disorders (-4.12%) decreased in the MENA region from 1990 to 2019. In 2019, the highest DALY rates for idiopathic developmental intellectual disability, anxiety disorders, and major depressive disorder were observed in age groups ≤ 4 years, 5-19 years, and ≥ 20 years, respectively. The age-standardized DALY rate of mental disorders was the highest in Palestine (2,396.9 per 100,000), Iran (2,295.8 per 100,000), and Lebanon (2,126.0 per 100,000) compared with other MENA countries in 2019. Conclusion: There has been a slight increase in the burden of mental disorders in the MENA region between 1990 and 2019. National policies should prioritize evidence-based preventive measures and ensure accessible treatment options for mental health disorders in the population, especially in the MENA region.

Diagnosis of peripartum depression disorder: A state-of-the-art approach from the COST Action Riseup-PPD.

BACKGROUND: Peripartum depression (PPD) is a major depression disorder (MDD) episode with onset during pregnancy or within four weeks after childbirth, as defined in DSM-5. However, research suggests that PPD may be a distinct diagnosis. The goal of this study was to summarize the similarities and differences between PPD and MDD by synthesizing the current research on PPD diagnosis concerning different clinical features and give directions for improving diagnosis of PPD in clinical practice. METHODS: To lay the groundwork for this narrative review, several databases were searched using general search phrases on PPD and its components of clinical diagnosis. RESULTS: When compared to MDD, peripartum depression exhibits several distinct characteristics. PPD manifests with a variety of symptoms, i.e., more anxiety, psychomotor symptoms, obsessive thoughts, impaired concentration, fatigue and loss of energy, but less sad mood and suicidal ideation, compared to MDD. Although PPD and MDD prevalence rates are comparable, there are greater cross-cultural variances for PPD. Additionally, PPD has some distinct risk factors and mechanisms such as distinct ovarian tissue expression, premenstrual syndrome, unintended pregnancy, and obstetric complications. CONCLUSION: There is a need for more in-depth research comparing MDD with depression during pregnancy and the entire postpartum year. The diagnostic criteria should be modified, particularly with (i) addition of specific symptoms (i.e., anxiety), (ii) onset specifier extending to the first year following childbirth, (iii) and change the peripartum onset specifier to either "pregnancy onset" or "postpartum onset". Diagnostic criteria for PPD are further discussed.

Early maladaptive schemas in female patients with migraine and tension-type headache.

Chronic headache is a serious clinical problem in women which psychological factors play major role and requires an approach with bio-psycho-social integrity. Psychiatric comorbidities such as anxiety disorder and major depression are frequent. Young described Early Maladaptive Schemas (EMS) as maladaptive and dysfunctional patterns that appear due to unpleasant situations occurred between patient and people who were important to him. EMS affect perception, emotions, thoughts and behaviors that makes a basis for many disorders. EMS are found to be related with depression, anxiety and somatization within recent literature. In literature, chronic pain and migraine's relationship with EMS were studied before in a few separate articles. However, there is a lack of data that compares the relationship between EMS and clearly distinguished headache types: migraine (MH) and tension-type headache (TTH) especially in female patients who are more prone to somatic complaints/findings. Our study directly compared three groups, migraine and tension type headache and healthy controls. 150 female patients with chronic headache were enrolled for study in consecutive fashion. Exclusion criteria were as follows: age < 18 or > 60 years, male gender, existence of comorbidity affecting central nervous system, headache due to drug/substance abuse, previous diagnosis of migraine with aura, previous diagnosis of psychotic disease, mental retardation, cognitive disorders, being in delirium state. Patients were grouped into two categories according to type of headache and a third control group. All patients were evaluated with Young Schema Questionnaire (YSQ) and their scores were noted and categorized in related schema domains. Sociodemographic data were comparable among groups. However, there were significant differences in terms of previous psychiatric diagnosis and psychiatric drug usage. When we compared YSQ scores, groups differed in many schema categories. MH group showed significantly higher scores in dependency/incompetency, unrelenting standards and punitiveness schemas when compared to remaining two groups. TTH group had significantly more points in emotional deprivation, vulnerability to harm or illness schemas among all groups. On the other hand, control group had significantly higher scores in insufficient self-discipline and entitlement/grandiosity schemas when compared to both MH and TTH groups. Presence of EMS in female patients with headache significantly differed from control group. Types of EMS were also significantly different between patients with MH and TTH among this whole headache group. We suggest that a comprehensive psychotherapeutic approach that targets to improve coping methods for distinct EMS in distinct headache types would provide critical aid to general treatment of headaches especially in resistant cases.

Post-traumatic stress disorder as a risk factor for major adverse cardiovascular events: a cohort study of a South African medical insurance scheme.

AIMS: Prior research, largely focused on US male veterans, indicates an increased risk of cardiovascular disease among individuals with post-traumatic stress disorder (PTSD). Data from other settings and populations are scarce. The objective of this study is to examine PTSD as a risk factor for incident major adverse cardiovascular events (MACEs) in South Africa. METHODS: We analysed reimbursement claims (2011-2020) of a cohort of South African medical insurance scheme beneficiaries aged 18 years or older. We calculated adjusted hazard ratios (aHRs) for associations between PTSD and MACEs using Cox proportional hazard models and calculated the effect of PTSD on MACEs using longitudinal targeted maximum likelihood estimation. RESULTS: We followed 1,009,113 beneficiaries over a median of 3.0 years (IQR 1.1-6.0). During follow-up, 12,662 (1.3%) persons were diagnosed with PTSD and 39,255 (3.9%) had a MACE. After adjustment for sex, HIV status, age, population group, substance use disorders, psychotic disorders, major depressive disorder, sleep disorders and the use of antipsychotic medication, PTSD was associated with a 16% increase in the risk of MACEs (aHR 1.16, 95% confidence interval (CI) 1.05-1.28). The risk ratio for the effect of PTSD on MACEs decreased from 1.59 (95% CI 1.49-1.68) after 1 year of follow-up to 1.14 (95% CI 1.11-1.16) after 8 years of follow-up. CONCLUSION: Our study provides empirical support for an increased risk of MACEs in males and females with PTSD from a general population sample in South Africa. These findings highlight the importance of monitoring cardiovascular risk among individuals diagnosed with PTSD.

Knowledge and Behavior of Primary Care Physicians Regarding Utilization of Standardized Tools in Screening and Assessment of Anxiety, Depression, and Mood Disorders at a Large Integrated Health System.

INTRODUCTION: Standardized screening, objective evaluation, and management of behavioral health conditions are major challenges in primary care. The Generalized Anxiety Disorder Scale (GAD-7), Patient Health Questionnaire (PHQ-9), and Mood Disorder Questionnaire (MDQ) provide standardized screening and symptom management tools for generalized anxiety disorder (GAD), major depressive disorder (MDD), and Mood Disorders (MD), respectively. This study explores family physicians' knowledge, attitudes, and practices regarding the utilization of GAD-7, PHQ-9, and MDQ in outpatient primary care offices. METHODS: The study method was a cross-sectional electronic and paper survey utilizing a self-administered questionnaire that assessed primary care physicians' demographics, knowledge, attitudes, and practices in rural and urban outpatient clinical settings regarding GAD-7, PHQ-9, and MDQ. Statistical software SAS 9.4 was used for descriptive and Chi-Square statistics. RESULTS: Out of 320 total participants,145 responded (45.3%). Responding family physicians demonstrated a high level of familiarity with the GAD-7 (97.9%), PHQ-9 (97.9%), and MDQ (81.3%) assessment tools. However, the reported utilization rates were relatively lower than knowledge, with 62.7%, 73.1%, and 31.9% extremely likely or likely to utilize the GAD-7, PHQ-9, and MDQ as screening and monitoring tools, respectively. Less than a quarter of the total respondents use the objective score for the future management of GAD, with significantly more residents utilizing the score for GAD-7 compared to attendings (P < .05). There was no statistical significance difference between residents and attendings for the objective evaluation of Major Depressive Disorder (P = .26) and Mood Disorders (P = .05). CONCLUSIONS: Despite being knowledgeable of the utility of GAD-7, PHQ-9, and MDQ, the primary care physicians in a large integrated health system in Central Pennsylvania and Northern Maryland report inconsistent utilization in their practice. Further studies are needed to determine the underlying factors contributing to the suboptimal usage of these screening tools and ways to increase it.

Affect dimensions and variability during major depressive episodes: Ecological momentary assessment of unipolar, bipolar, and borderline patients and healthy controls.

Differentiating major depressive episodes (MDEs) of major depressive disorder (MDD), bipolar disorder (MDE/BD) and the MDEs comorbid with borderline personality disorder (MDE/BPD) is crucial for appropriate treatment, and knowledge of phenomenological differences may aid this. However, studies comparing affect experiences of these three patient groups and healthy subjects are scarce. In our study, participants (N = 114), including patients with MDD (n = 34), MDE/BD (n = 27), and MDE/BPD (n = 24), and healthy controls (HC, n = 29) responded to ecological momentary assessment (EMA) with ten circumplex model affect items ten times daily for seven days (7709 recordings). Explorative factor analysis resulted in two affect dimensions. The positive dimension included active, excited, cheerful (high arousal), and content (low arousal) affects, and the negative dimension irritated, angry, and nervous (high arousal) affects. Relative to HC, patients reported 3.5-fold negative affects (mean MDD 1.36 (SD 0.92), MDE/BD 1.43 (0.76), MDE/BPD 1.81 (0.95) vs. HC 0.44 (0.49) (p < 0.01)) but 0.5-fold positive affects (2.01 (0.90), 1.95 (0.89), 2.24 (1.03), vs. 3.2 (0.95), respectively (p < 0.01)). We used multilevel modelling. Negative-affect within-individual stability was lowest in MDE/BPD and highest in MDD. Negative affect predicted concurrent positive affect more in MDE/BPD than in MDD. Moderate size of subcohorts and no inpatients were limitations. Despite apparently similar MDEs, affective experiences may differ between BPD, BD, and MDD patients. Clinical subgroups of patients with depression may vary in affective instability and concurrent presence of negative and positive affects during depression.