Clinical Interview Research Articles

Eliciting Clinician Perspectives on Asymptomatic Bacteriuria to Identify Targets for Antimicrobial Stewardship Education and Decision Support.

The aim of this study was to elicit clinicians' perspectives to help reduce antibiotic prescribing for asymptomatic bacteriuria and improve a patient-centered educational brochure for older adults with urinary tract infections or asymptomatic bacteriuria. Between October 2023 and April 2024, we conducted semi-structured qualitative interviews of clinicians who treat patients aged ≥65 years for urinary tract infections or bacteria in the urine, at infectious disease clinics, community senior living facilities, memory care clinics, and general practice. We developed an interview guide based on a behavior change framework and thematically analyzed written transcripts of audio-recorded interviews using inductive and deductive coding techniques. We identified several common themes surrounding management of asymptomatic bacteriuria from clinicians. These included an emphasis on ordering and interpreting urine tests, tension between guidelines and individual patient care for older adults, use of epidemiologic data to influence prescribing practices, pre-prepared communication talking points, and interest in educational materials for patients and clinical teams. Education about the need for symptoms to supplement urine testing, data about the impact of overuse of antibiotics, and oral and written communication strategies should be addressed to reduce antibiotic prescribing for asymptomatic bacteriuria.

CALLM: Enhancing Clinical Interview Analysis through Data Augmentation with Large Language Models.

The global prevalence of mental health disorders is increasing, leading to a significant economic burden estimated in trillions of dollars. In automated mental health diagnosis, the scarcity and imbalance of clinical data pose considerable challenges for researchers, limiting the effectiveness of machine learning algorithms. To cope with this issue, this paper aims to introduce a novel clinical transcript data augmentation framework by leveraging large language models (CALLM). The framework follows a "patient-doctor role-playing" intuition to generate realistic synthetic data. In addition, our study introduces a unique "Textbook-Assignment-Application" (T-A-A) partitioning approach to offer a systematic means of crafting synthetic clinical interview datasets. Concurrently, we have also developed a "Response-Reason" prompt engineering paradigm to generate highly authentic and diagnostically valuable transcripts. By leveraging a fine-tuned DistilBERT model on the E-DAIC PTSD dataset, we achieved a balanced accuracy of 0.77, an F1-score of 0.70, and an AUC of 0.78 during test set evaluations, which showcase robust adaptability in both Zero-Shot Learning (ZSL) and Few-Shot Learning (FSL) scenarios. We further compare the CALLM framework with other data augmentation methods and PTSD diagnostic works and demonstrates consistent improvements. Compared to conventional data collection methods, our synthetic dataset not only demonstrates superior performance but also incurs less than 1% of the associated costs.

Differences in self-reported disruptions in mental health treatment during COVID-19 in a national household sample: impact of severity of functional impairment.

This report uses data from Mental Disorders Prevalence Study (MDPS), a large epidemiologic study that provided national prevalence estimates of seven mental disorders based on the Structured Clinical Interview for DSM-5 (SCID), to assess the odds of treatment disruption during COVID for SMI and non-SMI groups. This cross-sectional study conducted from 2020 to 2022 included 2,810 household participants with any lifetime mental health treatment. Weighted logistic regressions estimated the odds of reporting disruptions in access to mental health care or psychotropic prescriptions due to COVID. SMI was broadly defined as having an MDP diagnosis and serious functional impairment (GAF ≤50, a validated and widely used cutoff). Non-SMI groups were a mental diagnosis without serious impairment (MDPS diagnosis, GAF >50) and any lifetime treatment and no serious impairment (no MDPS diagnosis, GAF >50). The SMI and mental disorder without serious impairment groups had approximately 6.4- and 2.4-greater odds, respectively, of reporting inability to access mental health care and 4- and 3- greater odds, respectively, of having prescriptions delayed, relative to the group with any lifetime treatment. Among those with serious mental illness, having Medicare insurance increased the odds of reporting inability to access mental health care. Individuals with SMI were much more likely to experience treatment disruptions throughout the pandemic than non-SMI groups.

Depression prevalence of the Geriatric Depression Scale-15 was compared to Structured Clinical Interview for DSM using individual participant data meta-analysis

Depression questionnaire cutoffs are calibrated for screening accuracy and not to assess prevalence, but the Geriatric Depression Scale (GDS-15) is often used to estimate diagnostic prevalence among older adults, most commonly with scores of ≥ 5. We conducted an individual participant data meta-analysis to compare depression prevalence based on GDS-15 ≥ 5 to Structured Clinical Interview for Diagnostic and Statistical Manual (SCID) diagnoses and assessed whether an alternative cutoff could be more accurate. We used generalized linear mixed models to estimate prevalence. Data from 14 studies (3602 participants, 434 SCID major depression) were included. Pooled GDS-15 ≥ 5 prevalence was 34.2% (95% confidence interval [CI] 27.5–41.6%), and pooled SCID prevalence was 14.8% (95% CI 10.0–21.5%; difference of 17.6%, 95% CI 11.6–23.6%). GDS-15 ≥ 8 provided the closest estimate to SCID with mean difference of − 0.3% (95% prediction interval − 17.0–16.5%). Prevalence estimate differences were not associated with study or participant characteristics. In sum, GDS-15 ≥ 5 substantially overestimated depression prevalence. A cutoff of ≥ 8 was accurate overall, but heterogeneity was too high for implementation in practice. Validated diagnostic interviews should be used to estimate major depression prevalence among older adults.

Diagnostic and Statistical Manual of Mental Disorders, fifth edition, personality disorders and the alternative model: Prediction of naturalistically observed behavior, interpersonal functioning, and psychiatric symptoms, 1 year later.

Traditional personality disorders (PDs; e.g., Diagnostic and Statistical Manual of Mental Disorders, fifth edition [DSM-5] Section II PDs), as well as dimensional traits (e.g., alternative model for PD [AMPD]), offer unique advantages in personality pathology assessment. However, very little is known about how these systems compare in predicting observable behavior. This study compares self-report ratings of PD symptoms (i.e., Structured Clinical Interview for DSM-IV PD) with self-reports of AMPD traits (i.e., Personality Inventory for DSM-5) in predicting clinical outcomes, 1 year later, via three different methods: (a) naturalistically observed psychosocial functioning (i.e., electronically activated recorder [EAR]), (b) informant-reported interpersonal functioning (i.e., Inventory of Interpersonal Problems-32), and (c) self-reported suicidality (SI), depression, anxiety, and substance use symptoms (i.e., Psychiatric Diagnostic Screening Questionnaire). Data were analyzed from 72 individuals in current or recent psychiatric treatment meeting diagnosis for at least one PD. Results showed that DSM Section II PD and AMPD ratings yielded meaningful and comparable predictions of naturalistically observed EAR variables and informant-rated interpersonal functioning. The AMPD appeared to offer slight advantages in the prediction of EAR-observed negative affect, hostile words, and informant-rated interpersonal functioning, with clearer advantages at the facet level. Overall, these results provide tentative evidence that both DSM Section II PD and AMPD systems show meaningful links with clinical outcomes measured via multiple methods 1 year later, but with clearer advantages for the AMPD at the facet level. Moreover, results show that the EAR is a viable method for capturing naturalistically observed clinically meaningful, in vivo behavior of individuals exhibiting maladaptive personality patterns. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

"Being My Own Pillar of Support": How Palestinian-Arab Women Citizens of Israel Cope With IPV.

Studies on the ways in which women implement coping strategies to recover from intimate partner violence have primarily focused on Western, non-collectivistic societies. To contribute to the scant literature on coping strategies among women in traditional-collectivistic societies, the current study applied the principles of Clinical Ethnographic Narrative Interview to analyze the experiences of 15 Palestinian-Arab citizens of Israel as these women confronted violence within marriage. This exploration is situated within the backdrop of entrenched collectivistic traditional norms and the broader context of the enduring Israeli-Arab conflict. An Interpretative Phenomenological Analysis revealed three themes that translated into a transformative three-phase coping model. The first theme covers navigating violent relationships through avoidance, emotional encapsulation, and cognitive reframing. The second theme describes strategies to mitigate violence and its consequences, including escapist and immediate departure, sustained fulfillment of duties, and maintaining hope amid adversity. The third theme characterizes strategies aimed at achieving self-care and self-empowerment. The findings highlight the importance of acknowledging women's definition of coping and recovery within their cultural constraints as they chart their coping trajectories.

Social Vulnerability and Prevalence and Treatment for Mental Health and Substance Use Disorders

Community-level social vulnerability (SV) is associated with physical illness and premature mortality. Its association with mental health (MH) and substance use disorders (SUDs) needs further study. To study associations of SV with clinical diagnoses of MH disorders, SUDs, and related treatments in the US noninstitutionalized population of adults aged 18 years and older. A survey of adults in a national sample of US households between October 2020 and October 2022. Participants drawn from a multistage, clustered, and stratified area probability sample of US households were included, excluding adults older than 65 years because of the difficulty of differentiating mental disorders from symptoms of dementia. The sample also included adults living in prisons, state psychiatric hospitals, and homeless shelters who were excluded from the sample of US households used in these analyses. Each sample household was sent a letter explaining the study and offering the option to complete the household roster online, by phone, or by email. Of the 12 906 adults selected for clinical interviewing in the household sample, 4674 completed clinical interviews. Main outcomes were Structured Clinical Interview for DSM-5 past-year diagnoses of MH disorders and SUDs and responses to survey questions regarding treatment received. The Social Vulnerability Metric (SVM) and the Area Deprivation Index (ADI) were used to determine SV at the residential zip code level. The analysis involved 4674 participants (2904 [62.13%] female and 1770 [37.87%] male; mean [SD] age, 41.51 [13.41] years). Controlling for measured confounders, the SVM was significantly associated with diagnoses of schizophrenia spectrum disorder (SSD; adjusted odds ratio [aOR], 17.22; 95% CI, 3.05-97.29), opioid use disorder (OUD; aOR, 9.47; 95% CI, 2.30-39.02), stimulant use disorder (aOR, 6.60; 95% CI, 2.01-21.67), bipolar I disorder (aOR, 2.39; 95% CI, 1.19-4.80), posttraumatic stress disorder (aOR, 1.63; 95% CI, 1.06-2.50), and any MH disorder (aOR, 1.44; 95% CI, 1.14-1.83), but not major depressive disorder (MDD), generalized anxiety disorder (GAD), or any SUD. Results were similar for the ADI but generally of lower magnitude (SSD aOR, 11.38; 95% CI, 1.61-80.58; OUD aOR, 2.05; 95% CI, 0.30-14.10; stimulant use disorder aOR, 2.18; 95% CI, 0.52-9.18). Among participants with SSDs, SV was associated with reduced MH treatment (aOR, 0.001; 95% CI, 0.00-0.18) and reduced SUD treatment in participants with OUD or stimulant use disorder (aOR, 0.24; 95% CI, 0.02-2.80). In contrast to previous studies using nonclinical symptom-based survey data, we found no association between SV and GAD or MDD. By contrast, there were associations of SV with prevalence of SSD, stimulant use disorder, and OUD with corresponding decreases in treatment. These results suggest that the SVM might assist in developing more comprehensive care models that integrate medical and social care for MH disorders and SUDs.

Smartphone-based markers of social connectivity in schizophrenia and bipolar disorder

Social isolation and social impairment are hallmarks of progression as well as predictors of relapse in psychiatric disorders. We conducted a pilot study to assess the feasibility of sensing the social activity phenotype and loneliness using active and passive markers collected using a smartphone application. The study included 9 schizophrenia and bipolar disorder patients followed in the Bipolar Longitudinal study for at least 1 month and for whom mobile communication data was collected using the Beiwe smartphone application. Subjects completed daily surveys on digital and in-person social activity, and feelings of being outgoing or lonely. We described the level and variability of social activity features. We employed k-means clustering to identify “important contacts”. Further, we investigated whether social network-derived features of mobile communication are independent predictors of weekly counts of outgoing calls and text, weekly average self-reported digital social activity, and loneliness using mixed effect models and clustering with dynamic time warping distance. Subjects were followed between 5 and 208 weeks (number of days of observation = 2538). The k-means cluster analysis approach identified the number of “important contacts” among close friends and family members as reported in clinical interviews. The cluster analysis and longitudinal regression analysis indicate that the number of individuals a person communicates with on their phone is an independent predictor of perceived loneliness, with stronger evidence when “important contacts” only are included. This study provides preliminary evidence that the number of “important contacts” a person communicates with on their phone is a promising marker to capture subjects’ engagement in mobile communication activity and perceived loneliness.

Luteal phase sertraline treatment of premenstrual dysphoric disorder (PMDD): Effects on markers of hypothalamic pituitary adrenal (HPA) axis activation and inflammation

RationalePremenstrual dysphoric disorder (PMDD) is characterized by severe affective symptoms during the luteal phase of the menstrual cycle. There is some evidence of altered interactions between the hypothalamic pituitary gonadal (HPG) and hypothalamic pituitary adrenal (HPA) axes in PMDD. There is also evidence that similar affective disorders such as major depression and perinatal depression are associated with dysregulation in immune factors, but this has not been characterized in PMDD. AimsThe goals of this exploratory study were to identify 1) whether HPA-HPG axis interactions and immune markers differ between PMDD patients and controls across the menstrual cycle; 2) how luteal phase sertraline treatment impacts stress and inflammatory markers. MethodsParticipants were females age 18–50 with regular menstrual cycles, not using psychotropic or hormonal medications, and were assigned to a control group or PMDD group based on prospective daily symptom ratings and clinical interview. Blood was drawn in the follicular and luteal phases, during laboratory sessions involving a mildly stressful task. In a second luteal phase, PMDD participants received open-label sertraline (50 mg/d) from ovulation to menses. Serum cortisol and ACTH were measured via ELISA and operationalized as area under the curve with respect to ground (AUCg), and peak level following laboratory task. Serum TNF-α, IL-6, CXCL-8, and IL-1β were measured using multiplex kits. Serum allopregnanolone (ALLO) was measured by gas chromatography/mass spectroscopy. To characterize HPA-HPG axis interactions across the menstrual cycle in PMDD participants and controls, multilevel linear models predicted cortisol and ACTH from the interaction of cycle phase (controlling for sertraline treatment), ALLO, and group. To determine the effects of sertraline treatment on inflammatory markers and how groups might differ in cyclical change on each marker, multilevel linear models predicted inflammatory markers from cycle phase (controlling for sertraline treatment) and group. A final set of exploratory models tested whether inflammatory markers predict premenstrual symptom score severity. ResultsThe sample included n=77 participants (41 controls, 36 PMDD); 28 participants with PMDD completed sertraline treatment. Group x phase x ALLO interactions showed that higher ALLO levels predicted lower cortisol peak in the treated luteal phase (interaction between phase and ALLO, p=0.042), and there was a higher cortisol peak in the treated luteal phase than the untreated luteal phase (p=0.038). CXCL-8 was significantly associated with premenstrual symptom severity after controlling for group and cycle phase (p=0.011). There were no main effects of group, phase, or ALLO on cortisol AUCg, ACTH AUCg, IL-6, CXCL-8, IL-1β, nor TNF-α (p’s>0.05). ConclusionSerum markers of HPA axis and immune function did not vary by menstrual cycle phase nor PMDD status. However, sertraline treatment in the luteal phase was associated with higher ALLO levels predicting lower cortisol peak in response to mild laboratory stress, suggesting that sertraline treatment may normalize HPG-HPA axis interactions among individuals with PMDD. Greater premenstrual symptomatology was associated with higher levels of the inflammatory marker CXCL-8, but further research is needed into the potential role of inflammation in PMDD.

Individuals with genetic high-risk for psychosis experience impaired coping styles compared with healthy controls.

Individuals with schizophrenia tend to have negative coping styles and low levels of self-esteem, but it is unclear whether coping styles and self-esteem levels are altered in people in the prodromal phase of psychosis. The study was designed to assess the role of coping style and self-esteem in the context of different phases of schizophrenia. Recurrent Schizophrenia (ReSch), first-episode schizophrenia patients (FEP), genetic-high risk for psychosis (GHR) patients, and healthy controls (HC) (40 per group) were subjected to in-person clinical interviews. The results of these interviews were then used to gauge coping style and self-esteem using the Coping Styles Questionnaire (CSQ) and the Rosenberg's Self-Esteem Scale (RSES). Data were analyzed through ANCOVAs and logistic regression analyses. The results found that positive coping style (CSQ problem-solving and CSQ seeking for help) generally decline with progression through the HC, GHR, and FEP groups, while negative coping style (CSQ fantasy, CSQ repression and CSQ self-blame) generally increase with progression through the HC, GHR, and FEP groups (except that GHR group was slightly lower than HC group in CSQ self-blame). Results for members of ReSch group were in line with those of members of the FEP group in coping style. At the level of self-esteem, the GHR group was similar to the HC group and significantly higher than the FEP group and the ReSch group. Logistic regression analyses indicated that GHR group patients exhibited increased negative coping styles (CSQ fantasy) relative to members of the HC group, but had greater Positive coping style (CSQ problem-solving) than did members of the FEP group. These findings suggest that both GHR individuals experience impaired negative coping styles which expands the understanding of the psychological characteristics of the prodromal group. Further explorations are warranted to develop optimal psychosocial interventions.

Cognitive-behavioral treatment for insomnia and mindfulness-based stress reduction in nurses with insomnia: a non-inferiority internet delivered randomized controlled trial.

Insomnia is a highly prevalent sleep disorder frequently comorbid with mental health conditions in nurses. Despite the effectiveness of evidence-based cognitive behavioral therapy for insomnia (CBT-I), there is a critical need for alternative approaches. This study investigated whether internet-delivered mindfulness-based stress reduction (IMBSR) for insomnia could be an alternative to internet-delivered CBT-I (ICBT-I). The hypothesis was that the IMBSR would be noninferior to the ICBT-I in reducing the severity of insomnia among nurses with insomnia. Additionally, it was expected that ICBT-I would produce a greater reduction in the severity of insomnia and depression than IMBSR. Among 240 screened nurses, 134 with insomnia were randomly allocated (IMBSR, n =67; ICBT-I, n = 67). The assessment protocol comprised clinical interviews and self-reported outcome measures, including the Insomnia Severity Index (ISI), Patient Health Questionnaire-9 (PHQ-9), the 15-item Five Facet Mindfulness Questionnaire (FFMQ), and the Client Satisfaction Questionnaire (CSQ-I). The retention rate was 55% with 77.6% (n=104) of participants completing the study. At post-intervention, the noninferiority analysis of the ISI score showed that the upper limit of the 95% confidence interval was 4.88 (P=0.46), surpassing the pre-specified noninferiority margin of 4 points. Analysis of covariance revealed that the ICBT-I group had significantly lower ISI (Cohen's d = 1.37) and PHQ-9 (Cohen's d = 0.71) scores than did the IMBSR group. In contrast, the IMBSR group showed a statistically significant increase in the FFMQ-15 score (Cohen's d = 0.67). Within-group differences showed that both the IMBSR and ICBT-I were effective at reducing insomnia severity and depression severity and improving mindfulness. Overall, nurses demonstrated high levels of satisfaction and adherence to both interventions. The IMBSR significantly reduced insomnia severity and depression, but the findings of this study do not provide strong evidence that the IMBSR is at least as effective as the ICBT-I in reducing insomnia symptoms among nurses with insomnia. The ICBT-I was found to be significantly superior to the IMBSR in reducing insomnia severity, making it a recommended treatment option for nurses with insomnia.

Selective Serotonin Reuptake Inhibitor and Serotonin-Noradrenaline Reuptake Inhibitor Withdrawal Changes DSM Presentation of Mental Disorders: Results from the Diagnostic Clinical Interview for Drug Withdrawal

Introduction: Selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs) may cause withdrawal at dose decrease, discontinuation, or switch. Current diagnostic methods (e.g., DSM) do not take such phenomenon into account. Using a new nosographic classification of withdrawal syndromes due to SSRI/SNRI decrease or discontinuation [by Psychother Psychosom. 2015;84(2):63–71], we explored whether DSM is adequate to identify DSM disorders when withdrawal occurs. Methods: Seventy-five self-referred patients with a diagnosis of withdrawal syndrome due to discontinuation of SSRI/SNRI, diagnosed via the Diagnostic Clinical Interview for Drug Withdrawal 1 – New Symptoms of Selective Serotonin Reuptake Inhibitors or Serotonin-Norepinephrine Reuptake Inhibitors (DID-W1), and at least one DSM-5 diagnosis were analyzed. Results: In 58 cases (77.3%), the DSM-5 diagnosis of current mental disorder was not confirmed when the DID-W1 diagnosis of current withdrawal syndrome was established. In 13 cases (17.3%), the DSM-5 diagnosis of past mental disorder was not confirmed when criteria for DID-W1 diagnosis of lifetime withdrawal syndrome were met. In 3 patients (4%), the DSM-5 diagnoses of current and past mental disorders were not confirmed when the DID-W1 diagnoses of current and lifetime withdrawal syndromes were taken into account. The DSM-5 diagnoses most frequently mis-formulated were current panic disorder (50.7%, n = 38) and past major depressive episode (18.7%, n = 14). Conclusion: DSM needs to be complemented by clinimetric tools, such as the DID-W1, to detect withdrawal syndromes induced by SSRI/SNRI discontinuation, decrease, or switch, following long-term use.

Применение машинного обучения к данным нейроанатомии и физиологии в области диагностики СДВГ

<p style="text-align: justify;">Attention Deficit\Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity. While traditional diagnostic methods rely on clinical interviews, tests and behavioral observations, machine learning methods provide an opportunity to simplify the ADHD diagnostic process and make it more accurate. This review tries to explore the application of machine learning (ML) algorithms to physiological and neuroanatomical data: magnetic resonance imaging (MRI), functional MRI (fMRI), near-infrared spectroscopy (fNIRS), electroencephalography (EEG), magnetoencephalography (MEG), electrocardiogram (ECG), pupil parameters, eye tracking and activity in the field of exploring biomarkers for ADHD diagnosis. Deep learning models and support vector machines (SVM) are considered the most promising approaches for identifying ADHD in both children and adults. However, despite the fact that with the help of machine learning methods researchers are able to achieve high levels of specificity and sensitivity when solving problems of ADHD assessment, their use in clinical practice requires preliminary work to verify the results on large samples, as well as addressing data security and ethical issues.</p>

‘But this is a wizardry something that has to be removed first’

In Nigeria, diagnoses of schizophrenia and descriptions of its symptoms and experiences are shaped by numerous biomedical and sociocultural perspectives. However, although many studies have focused on the social realities and public attitudes towards the disorder, the interactional means of how its diagnoses and experiences are constituted in psychiatric interviews have not hitherto received close attention from linguists in Nigeria. This paper thus examines a corpus of 56 audio recorded interviews in mental health clinics in southwestern Nigeria, using insights from Arundale’s concept of communicating and relating and Stalnaker’s notion of common ground. It observes that diagnoses of the disorder do not subscribe to any rigid diagnostic pathways, but evolve from the relational, provisional and operative interpretation of the design of its experiences and other shared contextual situations that collectively instantiate the knowledge of mental illness in Nigeria.

Examining the clinical validity of the global psychotrauma screen in refugees.

The Global Psychotrauma Screen (GPS) is a brief transdiagnostic screener that covers a broad range of trauma-related disorders as well as risk factors known to influence the course of symptoms. We analyzed data from African war refugees in Australia (n = 70), including the GPS, the Structured Clinical Interview for DSM-5 Disorders (SCID-5), the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5), and the Brief Resilience Scale (BRS). Using the Youden's J Index to examine the clinical validity of the GPS subscales measuring PTSD, dissociation, depression, and generalized anxiety disorder (GAD), we found that a PTSD subscale score of 3 or higher, and a depression and dissociation subscale score of 1 or higher, was optimally efficient for detecting a probable diagnosis (Youden's J = 0.76, J = 0.72, and J = 0.90, respectively) with high sensitivity and specificity. We were unable to test the GPS clinical validity for GAD due to the low GAD occurrence. The GPS resilience item was not related to the total score (r = 0.02), indicating low convergent validity for resilience. Risk factors, including current stressors and childhood trauma history, were related to more severe GPS symptom scores, while lack of resilience, social support, and history of mental illness were not. We conclude that the GPS may be a useful screening tool for PTSD, depression, and the dissociative subtype in refugees.

Sex Differences in the Expression of Central Sensitization Symptoms in Migraine: An Observational Study.

Background: Migraine is the fourth most common cause of disability in women and the eighth most common cause in men. Central sensitization phenomena predispose to chronic migraine and are generally more pronounced in women. Objective: The aim of this retrospective observational study was to look for sex differences in a population of migraine subjects attending a tertiary headache center, focusing on symptoms of central sensitization such as allodynia and pericranial tenderness. Methods: This study is based on data collected at a tertiary headache center between January 1, 2018, and December 31, 2022. The clinical interview included the main features of migraine, allodynia, a disability questionnaire, the pericranial tenderness score, and anxiety and depression scales. Results: We selected a total of 1,087 migraine subjects (233 men). Osmophobia predominated in women, as did nausea. Disability scores, headache intensity, allodynia, anxiety, and depression predominated in women, without menopausal age playing a role. The frequency of symptomatic medication use was similar in both sexes. Allodynia score was the largest discriminating factor between women and men. Conclusions: Women with migraine are more likely than men to report acute allodynia, nausea, and osmophobia and are also more likely to be anxious, depressed, and disabled. These features appear to be independent of fertile age and are probably related to sex-specific genetic characteristics. These symptoms represent a tendency toward sensory hypersensitivity and central sensitization that should be carefully assessed in both women and men with migraine with a view to possibly predicting chronic development.

Improving Parkinson's Disease Care through Systematic Screening for Depression.

Depression is common in Parkinson's disease (PD) but is underrecognized clinically. Although systematic screening is a recommended strategy to improve depression recognition in primary care practice, it has not been widely used in PD care. The 15-item Geriatric Depression Scale (GDS-15) was implemented at 5 movement disorders clinics to screen PD patients. Sites developed processes suited to their clinical workflow. Qualitative interviews with clinicians and patients provided information on feasibility, acceptability, and perceived utility. Prior to implementation, depression screening was recorded in 12% using a formal instrument; 64% were screened informally by clinical interview, and no screening was recorded in 24%. Of 1406 patients seen for follow-up care during the implementation period, 88% were screened, 59% using the GDS-15 (self-administered in 51% and interviewer administered in 8%), a nearly 5-fold increase in formal screening. Lack of clinician or staff time and inability to provide the GDS-15 to the patient ahead of the visit were the most commonly cited reasons for lack of screening using the GDS-15; 378 (45%) patients completing the GDS-15 screened positive for depression, and 137 were enrolled for a 12-month prospective follow-up. Mean GDS-15 scores improved from 8.8 to 7.0 (P < 0.0001) and the 39-item Parkinson's Disease Questionnaire emotional subscore from 42.2 to 36.7 (P = 0.0007). Depression screening in PD using a formal instrument can be achieved at much higher levels than is currently practiced, but there are barriers to implementing this in clinical practice. An individual site-specific process is necessary to optimize screening rates.

The Impact of High Levels of Compensatory Exercise on Treatment Outcomes in Threshold and Subthreshold Bulimia Nervosa.

Bulimia nervosa (BN) and other specific feeding or eating disorders with subthreshold BN symptoms (OSFED-BN) are characterized by recurrent binge eating episodes accompanied by compensatory behaviors, including excessive exercise. We aimed to examine the role of compensatory exercise on several clinical disorder-related variables and the treatment outcomes. The sample included 478 patients diagnosed with either BN or OSFED-BN admitted for a 16-week eating disorder-specific treatment program. A battery of questionnaires was administered to evaluate eating and general psychopathology, and personality traits. Other clinical disorder-related data, including levels of compensatory exercise, were assessed through a semi-structured clinical interview. Between-group comparisons of compensatory exercise levels were analyzed, as a predictive model of risk of poor treatment outcomes. Path analysis was conducted using structural equation models to estimate the direct and indirect effects between the main variables. Higher levels of self-reported compensatory exercise were associated with greater eating psychopathology, general psychopathology, and more dysfunctional personality traits and were a predictor of poor treatment outcomes. Additionally, these levels achieved a mediating role in several paths contributing to a higher likelihood of a poor outcome. Further research is required to determine how psychotherapeutic approaches can be optimized to adequately include adaptive exercise for these patients.

Comparing the effectiveness of behavioral activation in group vs. self-help format for reducing depression, repetitive thoughts, and enhancing performance of patients with major depressive disorder: a randomized clinical trial

BackgroundBehavioral activation has gained increasing attention as an effective treatment for depression. However, the effectiveness of Behavioral Activation Group Therapy (BAGT) in controlled conditions compared to its self-help programs requires more investigation. The present study aimed to compare their effectiveness on depressive symptoms, repetitive negative thinking (RNT), and performance in patients with major depressive disorder (MDD).MethodsIn this randomized clinical trial, 40 patients diagnosed with Major Depressive Disorder (MDD) were recruited based on a structured clinical interview for DSM-5 (SCID-5). Participants were allocated to BAGT (n = 20) and self-help behavioral activation (SBA; n = 20) groups. BAGT received ten weekly sessions (90 min), while the SBA group followed the same protocol as the self-help intervention. Participants were evaluated at pre-treatment, post-treatment, and the 2-month follow-up using the Beck Depression Inventory-II (BDI-II), repetitive thinking questionnaire (RTQ-31), and work and social adjustment scale (WSAS).ResultsThe results of a Mixed ANOVA analysis revealed that participants who underwent BAGT showed significant improvement in depression, rumination, work, and social functioning post-treatment and at the 2-month follow-up. However, the SBA group did not show significant changes in any outcome. The study also found that, based on clinical significance, 68% of the BAGT participants were responsive to treatment, and 31% achieved a high final performance status at the 2-month follow-up.DiscussionBAGT was more effective than SBA in MDD patients. Participants’ engagement with self-help treatment is discussed.Trial registrationThe present trial has been registered in the Iranian Registry of Clinical Trials Center (IRCT ID: IRCT20181128041782N1|| http://www.irct.ir/) (Registration Date: 04/03/2019).

Violence against older people and associations with mental health: A national probability sample survey of the general population in England

BackgroundOfficial estimates of violence prevalence in England exclude older people. There are few studies of elder abuse and these excluded violence from acquaintances and strangers and lack comparability with younger adults. ObjectivesTo estimate prevalence of past-year violence victimisation in older people, identify factors associated with violence in older age, quantify the extent to which experience of violence in older people was associated with common mental disorder (CMD). Study design/methodsAnalysis of a 2014 general population probability sample survey of 2570 adults aged 60+ and 4484 16–59 year olds. Modified version of the Conflict Tactics Scale measured domestic violence and List of Threatening Experiences captured bullying and serious assault. CMD were assessed using the revised Clinical Interview Schedule. Associations were examined using regression models adjusted for childhood victimisation and other adversities. Results2.0 % (n = 52,CI:1.4–2.6) of older people experienced violence in the past year, with intimate partner violence the most prevalent form. Older people of non-white ethnicity, those who were socially isolated or lonely, and the formerly married were more likely to experience violence. Violence was associated with CMD in older people (adjusted odds ratio 2.2, CI:1.0–4.8), controlling for impairments, adversities and other factors. ConclusionViolence, especially from an intimate partner, is evident in later life and strongly associated with poor mental health. Better instruments for the identification of violence and abuse in older people in research and safe enquiry in practice settings are needed, with recognition of and attention to ethnic and other inequalities among older people in exposure.