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Anxiety, although as common and arguably as debilitating as depression, has garnered less attention, and is often undetected and undertreated in the general population. Similarly, anxiety among medical students warrants greater attention due to its significant implications. We aimed to study the global prevalence of anxiety among medical students and the associated factors predisposing medical students to anxiety. In February 2019, we carried out a systematic search for cross-sectional studies that examined the prevalence of anxiety among medical students. We computed the aggregate prevalence and pooled odds ratio (OR) using the random-effects model and used meta-regression analyses to explore the sources of heterogeneity. We pooled and analyzed data from sixty-nine studies comprising 40,348 medical students. The global prevalence rate of anxiety among medical students was 33.8% (95% Confidence Interval: 29.2–38.7%). Anxiety was most prevalent among medical students from the Middle East and Asia. Subgroup analyses by gender and year of study found no statistically significant differences in the prevalence of anxiety. About one in three medical students globally have anxiety—a prevalence rate which is substantially higher than the general population. Administrators and leaders of medical schools should take the lead in destigmatizing mental illnesses and promoting help-seeking behaviors when students are stressed and anxious. Further research is needed to identify risk factors of anxiety unique to medical students.

Autistic children have an increased likelihood of experiencing anxiety, even in the preschool years. Studies evaluating anxiety interventions in autistic children have tended to focus upon home or community settings. This study expands upon previous work to evaluate whether a parent-mediated intervention for autistic preschool children's anxiety impacts later school anxiety and school attendance. Data for this study comes from a randomised controlled trial of an autism-specific program designed to reduce and/or prevent anxiety in autistic preschoolers; CLK-CUES. In addition to pre- and post-group anxiety measures, the trial included data from parents and teachers one year later, once the children started school. Teacher-reported school anxiety and parent-reported school attendance data were available for the CLK-CUES (n = 15) and control group (n = 13). Children whose parents received CLK-CUES had lower levels of separation anxiety in school and significantly lower non-attendance rates than the control group. This was predominantly due to a significant between-group difference in the number of days missed due to school refusal/distress. Findings indicate promise for this autism-specific anxiety program to reduce school anxiety and support school attendance in young autistic children. Further research with larger samples and an extended follow-up is warranted.

BackgroundDiagnostic criteria are not always useful to discriminate major depression with anxious distress (ADS-D; Diagnostic and Statistical Manual for Mental Disorders, version-5 [DSM-5] criteria) from mixed depression (Koukopoulos’ criteria; KMX-D). So, clinicians need alternative tools to improve their diagnostic ability and to choose the most appropriate treatment. The aim of the present study is to identify socio-demographic and clinical features that discriminate patients with ADS-D from those with KMX-D.MethodsTwo hundred and forty-one consecutive outpatients with unipolar (51%) and bipolar (49%) disorder, fulfilling DSM-5 criteria for a current major depressive episode (MDE) and with a 21-item Hamilton Depression Rating Scale score ≥ 14, were recruited and treated in a prospective observational study.ResultsTen percent of patients met criteria for KMX-D, 22% ADS-D, and 37% for both. Irritable premorbid temperament, mixed depression polarity at onset, mixed depression recurrence, and a high number of mania symptoms at intake were typical features of patients with KMX-D. Depressive polarity at onset, a low number of mania symptoms at intake, and generalized anxiety disorder comorbidity were typical features of patients with ADS-D. Multinomial logistic regression confirmed that higher rate of irritable temperament and higher Young Mania Rating Scale total score differentiated patients with KMX-D from patients with pure MDE.ConclusionOur findings suggest some clinical features that could help differentiate between ADS-D and KMX-D in patients meeting both conditions and to select the appropriate treatment. However, the small sample size may have limited the power to detect differences between the groups. Further research is needed to confirm the results of present study.

Fear, dysphoria, and distress are prominent components in the conceptualization of posttraumatic stress disorder (PTSD). However, because our diagnostic categories are open concepts, relying on observed patterns of symptoms for classification, it is unclear whether these components represent core or auxiliary features of the disorder. Convergence across multiple indices is critical for this understanding. In this paper, we examine these components of PTSD across observed symptom patterns, broader theoretical conceptualizations, underlying information processing mechanisms of attention and memory, and underlying learning and neurobiological mechanisms. For each, evidence for similarity or distinctiveness of PTSD with other anxiety disorders and depression is examined. Throughout the review, key points of similarity to the anxiety disorders and divergence with depression argue for a distinction between core fear symptoms and auxiliary dysphoria and distress symptoms. Implications are discussed, noting that, as heterogeneity increases, core characteristics will become more diffused and ancillary constructs will gain an inflated degree of importance.

Web-based communication via social networking sites (SNSs) is growing fast among adolescents and adults and some research suggests that excessive SNS use can become an addiction among a small minority of individuals. There is a growing body of research that has examined the impact of attachment styles and its influence on internet addiction (more generally) and social media addiction (more specifically). Consequently, the present study systematically reviewed the evidence concerning internet/social media addiction and attachment style. A total of 32 papers published between 2000 and 2018 met the inclusion criteria following searches in the following databases: Scopus , Web of Science , PubMed , ProQuest , and Google Scholar. Findings demonstrated a significant positive association between insecure attachment (anxious and avoidant) and a more intensive and dysfunctional use of the internet and social media. Findings demonstrate that those with insecure attachment appear to use the social media sites as a way of replacing and compensating affection that is missing from those around the individual (e.g., family and peers). The findings suggest that the gratification model provides a useful framework to understand the effects of parental attachment on social media addiction. Limitations and future research are also discussed.

To examine cross-national patterns and correlates of lifetime and 12-month comorbid DSM-IV anxiety disorders among people with lifetime and 12-month DSM-IV major depressive disorder (MDD). Nationally or regionally representative epidemiological interviews were administered to 74 045 adults in 27 surveys across 24 countries in the WHO World Mental Health (WMH) Surveys. DSM-IV MDD, a wide range of comorbid DSM-IV anxiety disorders, and a number of correlates were assessed with the WHO Composite International Diagnostic Interview (CIDI). 45.7% of respondents with lifetime MDD (32.0-46.5% inter-quartile range (IQR) across surveys) had one of more lifetime anxiety disorders. A slightly higher proportion of respondents with 12-month MDD had lifetime anxiety disorders (51.7%, 37.8-54.0% IQR) and only slightly lower proportions of respondents with 12-month MDD had 12-month anxiety disorders (41.6%, 29.9-47.2% IQR). Two-thirds (68%) of respondents with lifetime comorbid anxiety disorders and MDD reported an earlier age-of-onset (AOO) of their first anxiety disorder than their MDD, while 13.5% reported an earlier AOO of MDD and the remaining 18.5% reported the same AOO of both disorders. Women and previously married people had consistently elevated rates of lifetime and 12-month MDD as well as comorbid anxiety disorders. Consistently higher proportions of respondents with 12-month anxious than non-anxious MDD reported severe role impairment (64.4 v. 46.0%; χ 2 1 = 187.0, p < 0.001) and suicide ideation (19.5 v. 8.9%; χ 2 1 = 71.6, p < 0.001). Significantly more respondents with 12-month anxious than non-anxious MDD received treatment for their depression in the 12 months before interview, but this difference was more pronounced in high-income countries (68.8 v. 45.4%; χ 2 1 = 108.8, p < 0.001) than low/middle-income countries (30.3 v. 20.6%; χ 2 1 = 11.7, p < 0.001). Patterns and correlates of comorbid DSM-IV anxiety disorders among people with DSM-IV MDD are similar across WMH countries. The narrow IQR of the proportion of respondents with temporally prior AOO of anxiety disorders than comorbid MDD (69.6-74.7%) is especially noteworthy. However, the fact that these proportions are not higher among respondents with 12-month than lifetime comorbidity means that temporal priority between lifetime anxiety disorders and MDD is not related to MDD persistence among people with anxious MDD. This, in turn, raises complex questions about the relative importance of temporally primary anxiety disorders as risk markers v. causal risk factors for subsequent MDD onset and persistence, including the possibility that anxiety disorders might primarily be risk markers for MDD onset and causal risk factors for MDD persistence.

•AD patients exhibit brain dysregulation in emotion, cognition and decision regions.•Alterations in regions like left ITG, STG, ORBsup, etc., may indicate anxious depression.•Predictive model differentiated anxious from non-anxious MDD with an AUC of 0.802. Anxious depression is a common subtype of major depressive disorder (MDD) associated with adverse outcomes and severely impaired social function. It is important to clarify the underlying neurobiology of anxious depression to refine the diagnosis and stratify patients for therapy. Here we explored associations between anxiety and brain structure/function in MDD patients. A total of 260 MDD patients and 127 healthy controls underwent three-dimensional T1-weighted structural scanning and resting-state functional magnetic resonance imaging. Demographic data were collected from all participants. Differences in gray matter volume (GMV), (fractional) amplitude of low-frequency fluctuation ((f)ALFF), regional homogeneity (ReHo), and seed point-based functional connectivity were compared between anxious MDD patients, non-anxious MDD patients, and healthy controls. A random forest model was used to predict anxiety in MDD patients using neuroimaging features. Anxious MDD patients showed significant differences in GMV in the left middle temporal gyrus and ReHo in the right superior parietal gyrus and the left precuneus than HCs. Compared with non-anxious MDD patients, patients with anxious MDD showed significantly different GMV in the left inferior temporal gyrus, left superior temporal gyrus, left superior frontal gyrus (orbital part), and left dorsolateral superior frontal gyrus; fALFF in the left middle temporal gyrus; ReHo in the inferior temporal gyrus and the superior frontal gyrus (orbital part); and functional connectivity between the left superior temporal gyrus(temporal pole) and left medial superior frontal gyrus. A diagnostic predictive random forest model built using imaging features and validated by 10-fold cross-validation distinguished anxious from non-anxious MDD with an AUC of 0.802. Patients with anxious depression exhibit dysregulation of brain regions associated with emotion regulation, cognition, and decision-making, and our diagnostic model paves the way for more accurate, objective clinical diagnosis of anxious depression.

Background Anxious-depressive attack (ADA) is a symptom complex that comprises sudden intense feelings of anxiety or depression, intrusive rumination of regretful memories or future worries, emotional distress due to painful thoughts, and coping behaviors to manage emotional distress. ADA has been observed trans-diagnostically across various psychiatric disorders. Although the importance of ADA treatment has been indicated, a scale to measure the severity of ADA has not been developed. This study aimed to develop an Anxious-Depressive Attack Severity Scale (ADAS) to measure the severity of ADA symptoms and examine its reliability and validity. Methods A total of 242 outpatients responded to a questionnaire and participated in an interview, which were designed to measure the severity of ADA, depressive, anxiety, anxious depression, and social anxiety symptoms. Based on the diagnostic criteria for ADA, 54 patients were confirmed to have ADA and were included in the main study analyses. Results The exploratory factor analysis of the ADAS identified a two factor structure: severity of ADA symptoms and ADA frequency and coping behaviors. McDonald’s ωt coefficients were high for the overall scale and the first factor (ωt = .78 and ωt = .83, respectively) but low for the second factor (ωt = .49). The ADAS score was significantly positively correlated with clinical symptoms related to anxiety and depression. Conclusion The present study demonstrated that the ADAS has sufficient reliability and validity; however, internal consistency was insufficient for the second factor. Overall, the ADAS has potential to be a valuable tool for use in clinical trials of ADA.

Anxious depression (AD) is a common, distinct depression subtype. This exploratory subgroup analysis aimed to explore the effects of acupuncture as an add-on therapy of selective serotonin reuptake inhibitors (SSRIs) for patients with AD or non-anxious depression (NAD). Four hundred and sixty-five patients with moderate-to-severe depression from the AcuSDep pragmatic trial were included in analysis. Patients were randomly assigned to receive MA+SSRIs, EA+SSRIs, or SSRIs alone (1:1:1) for six weeks. AD was defined by using dimensional criteria. The measurement instruments included 17-items Hamilton Depression Scale (HAMD-17), Self-Rating Depression Scale (SDS), Clinical Global Impression (CGI), Rating Scale for Side Effects (SERS), and WHO Quality of Life-BREF (WHOQOL-BREF). Comparison between AD and NAD subgroups and comparisons between groups within either AD or NAD subgroups were conducted. Eighty percent of the patients met the criteria for AD. The AD subgroup had poorer clinical manifestations and treatment outcomes compared to those of the NAD subgroup. For AD patients, the HAMD response rate, remission rate, early onset rate, and the score changes on each scale at most measurement points on the two acupuncture groups were significantly better than the SSRIs group. For NAD patients, the HAMD early onset rates of the two acupuncture groups were significantly better than the SSRIs group. For AD subtype patients, either MA or EA add-on SSRIs showed comprehensive improvements, with small-to-medium effect sizes. For NAD subtype patients, both the add-on acupuncture could accelerate the response to SSRIs treatment. The study contributed to the existing literature by providing insights into the potential benefits of acupuncture in combination with SSRIs, especially for patients with AD subtypes. Due to its limited nature as a post hoc subgroup analysis, prospectively designed, high-quality trials are warranted. ChiCTR-TRC-08000297.