PHQ-9 Scores Research Articles

Abstract NS5: Outcomes of Nursing Led Post-Stroke Anxiety and Depression Screening

Introduction: Post-stroke anxiety (PSA) is common, but underestimated and can be distressing during stroke recovery. Health systems may fail to provide screening and follow up for PSA. Methods: Stroke survivors between 10/2022-3/2023 received a phone call from an SCRN to assess anxiety and depression within 30-45 days of discharge using General Anxiety Disorder (GAD-7) and Patient Health Questionnaire (PHQ-9) respectively. Two call attempts were made. Based on the GAD-7, scores of 1-4 (minimal), 5 and 9 (mild), 10 to 14 (moderate), and 15 to 21 were classified as severe. The patients were referred to depression care management (DCM) or psychiatry based on the severity score. Data were analyzed using R package. Results: Total of 269 patients were identified: 111 (41%) completed the phone screening. The demographics and patient characteristics of patients are shown in table 1. The NIHSS of patient who did not complete the survey was higher 5(IQR 2,13) vs 3 (IQR 1,6). Most patients who completed the survey were discharged home 92(83%) (±home health). The severity of GAD-7 and PHQ9 score correlated moderately (Pearson’s r=0.69; P=0.002). Evaluation of dichotomized GAD-7 anxiety scores (minimal/mild vs moderate/severe) showed patients’ age and NIHSS are negatively correlated with GAD-7 score (r=-0.18; P=0.002 and r=-0.10 P=0.1). Conclusion: PSA and depression screening after discharge in stroke survivors helps with early identification and treatment, and potentially improving the quality of life. Anxiety and depression scores correlated positively and were higher in younger patients and those with low NIHSS.

FPT-Former: A Flexible Parallel Transformer of Recognizing Depression by Using Audiovisual Expert-Knowledge-Based Multimodal Measures

Background and Objective. Currently, depression is a widespread global issue that imposes a significant burden and disability on individuals, families, and society. Deep learning (DL) has emerged as a valuable approach for automatically detecting depression by extracting cues from audiovisual data and making a diagnosis. PHQ-8 is considered a validated diagnostic tool for depressive disorders in clinical studies, and the objective of this experiment is to improve the accuracy of PHQ-8 prediction. Furthermore, this paper aims to demonstrate the effectiveness of expert knowledge in depression diagnosis and discuss a novel multimodal network architecture. Methods. This research paper focuses on multimodal depression analysis, proposing a flexible parallel transformer (FPT) model capable of extracting data from three distinct modalities (i.e., one video and two audio descriptors). The FPT-Former model incorporates three paths, each using expert-knowledge-based descriptors from one modality as inputs. These descriptors are represented into 32 features by the encoder part of a transformer module, and these features are fused to realize the final regression of PHQ-8 score. The extended distress analysis interview corpus (E-DAIC) is an expansion of WOZ-DAIC which comprises semiclinical interviews intended to assist in the diagnosis of psychological distress conditions. It encompasses a sample size of 275 participants, and in this study, it was utilized to test the model in a way of 10-fold cross-validation. Results. The FPT presented herein achieved comparable performance to the state-of-the-art works, with a root mean square error (RMSE) of 4.80 and a mean absolute error (MAE) of 4.58. The ablation experiments demonstrate that the three-modality-fused model outperforms other two-modality-fused and single-modality models. While using a PHQ-8 score threshold of 10, the accuracy of the depression classification is 0.79. Conclusions. Leveraging the strength of expert-knowledge-based multimodal measures and parallel transformer structure, the FPT model exhibits promising performance in depression detection. This model improved the accuracy of depression diagnosis through audio and video, and it also proved the effectiveness of using expert-knowledge in the diagnosis of depression. The traits of flexible structure, high predictive efficiency, and secure privacy protection make our model a promotable intelligent system in mental healthcare.

Impact of maternal depression on malnutrition treatment outcomes in older children with sickle cell anemia

BackgroundMalnutrition and sickle cell anemia (SCA) result in high childhood mortality rates. Although maternal depression is an established risk factor for malnutrition in younger children, little is known about its impact on treatment response in children with malnutrition. We aimed to determine the relationship, if any, between maternal depression scores and malnutrition treatment outcomes in older children with SCA.MethodsWe conducted a planned ancillary study to our randomized controlled feasibility trial for managing severe acute malnutrition in children aged 5–12 with SCA in northern Nigeria (NCT03634488). Mothers of participants completed a depression screen using the Patient Health Questionnaire (PHQ-9).We used a multivariable linear regression model to describe the relationship between the baseline maternal PHQ-9 score and the trial participant’s final body mass index (BMI) z-score.ResultsOut of 108 mother-child dyads, 101 with maternal baseline PHQ-9 scores were eligible for inclusion in this analysis. At baseline, 25.7% of mothers (26 of 101) screened positive for at least mild depression (PHQ-9 score of 5 or above). The baseline maternal PHQ-9 score was negatively associated with the child’s BMI z-score after 12 weeks of malnutrition treatment (β=-0.045, p = 0.041).ConclusionsMaternal depressive symptoms has an impact on malnutrition treatment outcomes. Treatment of malnutrition in older children with sickle cell anemia should include screening for maternal depression and, if indicated, appropriate maternal referral for depression evaluation and treatment.Trial RegistrationThe trial was registered at clinicaltrials.gov (#NCT03634488) on January 30, 2018, https://clinicaltrials.gov/study/NCT03634488.

Mental Health Impacts of COVID-19: Does Prepandemic Cognition and Dementia Status Matter?

The coronavirus disease 2019 (COVID-19) pandemic disrupted daily life and led to sharp shocks in trends for various health outcomes. Although substantial evidence exists linking the pandemic and mental health outcomes and linking dementia and mental health outcomes, little evidence exists on how cognitive status may alter the impact of COVID-19 on mental health. We used prepandemic data from the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia study and 9 waves of data from the Real-Time Insights of COVID-19 in India study (N = 1182). We estimated associations between measures of prepandemic cognition (continuous cognition based on 22 cognitive tests, dementia status) and mental health measures during the pandemic (Patient Health Questionnaire [PHQ]-4 [9 time points], PHQ-9 [2 time points], Beck Anxiety Inventory [3 time points]), adjusting for age, gender, rural/urban residence, state, education, and prepandemic mental health. Summarizing across time points, PHQ-9 score was marginally or significantly associated with prepandemic cognition (PHQ-9 difference: -0.38 [-0.78 to 0.14] points per SD higher cognition; p = .06), and prepandemic dementia (PHQ-9 difference: 0.61 [0.11-1.13] points for those with dementia compared to no dementia; p = .02). Associations with BAI were null, whereas associations with PHQ-4 varied over time (p value for interaction = .02) and were strongest during the delta wave, when pandemic burden was highest. We present initial evidence that mental health impacts of COVID-19 or other acute stressors may be unequally distributed across strata of cognitive outcomes. In dynamically changing environments, those with cognitive impairment or dementia may be more vulnerable to adverse mental health outcomes.

Mental Health Counseling From Conversational Content With Transformer-Based Machine Learning

Use of asynchronous text-based counseling is rapidly growing as an easy-to-access approach to behavioral health care. Similar to in-person treatment, it is challenging to reliably assess as measures of process and content do not scale. To use machine learning to evaluate clinical content and client-reported outcomes in a large sample of text-based counseling episodes of care. In this quality improvement study, participants received text-based counseling between 2014 and 2019; data analysis was conducted from September 22, 2022, to November 28, 2023. The deidentified content of messages was retained as a part of ongoing quality assurance. Treatment was asynchronous text-based counseling via an online and mobile therapy app (Talkspace). Therapists were licensed to provide mental health treatment and were either independent contractors or employees of the product company. Participants were self-referred via online sign-up and received services via their insurance or self-pay and were assigned a diagnosis from their health care professional. All clients received counseling services from a licensed mental health clinician. The primary outcomes were client engagement in counseling (number of weeks), treatment satisfaction, and changes in client symptoms, measured via the 8-item version of Patient Health Questionnaire (PHQ-8). A previously trained, transformer-based, deep learning model automatically categorized messages into types of therapist interventions and summaries of clinical content. The total sample included 166 644 clients treated by 4973 therapists (20 600 274 messages). Participating clients were predominantly female (75.23%), aged 26 to 35 years (55.4%), single (37.88%), earned a bachelor's degree (59.13%), and were White (61.8%). There was substantial variability in intervention use and treatment content across therapists. A series of mixed-effects regressions indicated that collectively, interventions and clinical content were associated with key outcomes: engagement (multiple R = 0.43), satisfaction (multiple R = 0.46), and change in PHQ-8 score (multiple R = 0.13). This quality improvement study found associations between therapist interventions, clinical content, and client-reported outcomes. Consistent with traditional forms of counseling, higher amounts of supportive counseling were associated with improved outcomes. These findings suggest that machine learning-based evaluations of content may increase the scale and specificity of psychotherapy research.

Prevalence, predictors, and patient-reported outcomes of long COVID in hospitalized and non-hospitalized patients from the city of São Paulo, Brazil.

Robust data comparing long COVID in hospitalized and non-hospitalized patients in middle-income countries are limited. A retrospective cohort study was conducted in Brazil, including hospitalized and non-hospitalized patients. Long COVID was diagnosed at 90-day follow-up using WHO criteria. Demographic and clinical information, including the depression screening scale (PHQ-2) at day 30, was compared between the groups. If the PHQ-2 score is 3 or greater, major depressive disorder is likely. Logistic regression analysis identified predictors and protective factors for long COVID. A total of 291 hospitalized and 1,118 non-hospitalized patients with COVID-19 were included. The prevalence of long COVID was 47.1% and 49.5%, respectively. Multivariable logistic regression showed female sex (odds ratio [OR] = 4.50, 95% confidence interval (CI) 2.51-8.37), hypertension (OR = 2.90, 95% CI 1.52-5.69), PHQ-2 > 3 (OR = 6.50, 95% CI 1.68-33.4) and corticosteroid use during hospital stay (OR = 2.43, 95% CI 1.20-5.04) as predictors of long COVID in hospitalized patients, while female sex (OR = 2.52, 95% CI 1.95-3.27) and PHQ-2 > 3 (OR = 3.88, 95% CI 2.52-6.16) were predictors in non-hospitalized patients. Long COVID was prevalent in both groups. Positive depression screening at day 30 post-infection can predict long COVID. Early screening of depression helps health staff to identify patients at a higher risk of long COVID, allowing an early diagnosis of the condition.

Treatment of Adolescent Depression: Comparison of Psychiatric and Pediatric Settings at an Academic Medical Center Using the VitalSign6 Application.

Background: Similar outcomes and remission rates have been found for the treatment of depression in adults in primary and psychiatric care settings. However, comparatively little is known about how pediatric depression is managed across different settings. This study aims to address this gap by comparing depression treatment in pediatric and psychiatric settings. We hypothesized that pediatric care settings would be more likely to treat individuals with lower depression severity and would select pharmacotherapy less frequently as a treatment option. Methods: Patients (n = 3498) were screened for depression at a children's hospital from May 2017 to May 2022 as part of the VitalSign6 project, a web-based application for depression management. The two-item patient health questionnaire (PHQ) was used for screening, and the data set contains patient-reported measures and provider-reported diagnoses and treatment selections at each clinic visit. Patients with nine-item PHQ (PHQ-9) scores ≥10 at baseline were included in the analysis to compare diagnosis and treatment recommendations between pediatric and psychiatric settings. Results: Among the 1323 patients who screened positive for depression, those in psychiatric settings had higher PHQ-9 scores (15.9 ± 5.0 vs. 12.1 ± 5.5; p < 0.0001). Patients with PHQ-9 ≥ 10 in psychiatric settings were more likely to be diagnosed with major depressive disorder (60.6% vs. 24.7%, p < 0.0001) and receive pharmacotherapy (54.8% vs. 6.6%) than those in pediatric settings. Pediatric setting patients were more likely to receive nonpharmacological treatment alone (36.3% vs. 4.3%) or an outside referral (27.7% vs. 5.7%). Remission rates did not significantly differ between the two settings. Conclusions: Youth in psychiatric settings are more likely to screen positive for depression and to have greater depression severity than those in pediatric settings. Both settings provide treatment recommendations for moderate-to-severe depression, but treatment types vary substantially. Yet, remission rates remain similar. Further research is needed to understand the nuances of treatment differences and their implications.

Examining the prevalence of anxiety and depression in surgical oncology patients: Results of a prospective cohort study.

734 Background: Prospective data assessing prevalence of anxiety and depression in a diverse surgical oncology population are currently lacking. Psychological distress may affect patient outcomes in the postoperative setting. The General Anxiety Disorder (GAD) and Patient Health Questionnaire (PHQ9) surveys are validated instruments to assess severity of anxiety and depression, respectively. We aimed to determine the prevalence of anxiety and depression using validated screening tools, and assess associations between anxiety and depression with clinical outcomes in patients presenting to our surgical oncology clinic. Methods: A prospective, surgeon-blinded study was conducted to assess associations of anxiety and depression with postoperative outcomes in patients with histologically proven malignancy who underwent surgical intervention. Preoperatively, the GAD and PHQ9 surveys were administered to evaluate for anxiety and depression, respectively. Frailty level was also assessed using the validated Risk Analysis Index (RAI-C) survey. Postoperative outcomes included rates of ICU admission, 30- and 90-day readmissions, postoperative complications classified by Clavien-Dindo score, and disposition to home versus rehabilitation facilities. Outcomes were compared between different groups as defined by the severity of anxiety and depression. Results: 191 patients met inclusion criteria. The cohort was stratified into three groups by severity of anxiety and depression. Overall, 59 (31%) patients reported at least moderate anxiety as defined by a GAD score ≥5, with 30 (15.7%) patients reporting severe anxiety (GAD score ≥ 10). Similarly, 62 (32%) patients reported at least mild depression as defined by a PHQ9 score ≥5, with 21 (11%) patients experiencing moderate to severe depression (PHQ9 ≥ 10). No difference was detected in length of stay, ICU admission, 30- and 90-day readmission, and postoperative complications. Preoperative frailty, as defined by RAI-C score &gt;21, was also not associated with anxiety or depression. Marital status of single or widowed was found to be significantly associated with mild depression (p=0.027) and moderate to severe depression (p=0.028), respectively. Conclusions: While anxiety and depression were not found to be significantly associated with postoperative outcomes, they are prevalent in surgical oncology patients, affecting approximately one-third of our patient population. The GAD and PHQ9 surveys are validated instruments that can be administered easily to identify surgical oncology patients with psychological distress. Comprehensive evaluation of psychological well-being, in conjunction with a thorough social evaluation, can identify those patients who may benefit from referral to supportive resources.

Mental Health Outcomes of Endometriosis Patients during the COVID-19 Pandemic: Impact of Pre-pandemic Central Nervous System Sensitization

To correlate pain-related phenotyping for central nervous system sensitization in endometriosis-associated pain with mental health outcomes during the COVID-19 pandemic, the prospective Endometriosis and Pelvic Pain Interdisciplinary Cohort (ClinicalTrials.gov #NCT02911090) was linked to the COVID-19 Rapid Evidence Study of a Provincial Population-Based Cohort for Gender and Sex (RESPPONSE) dataset. The primary outcomes were depression (PHQ-9) and anxiety (GAD-7) scores during the pandemic. The explanatory variables of interest were the Central Sensitization Inventory (CSI) score (0–100) and endometriosis-associated chronic pain comorbidities/psychological variables before the pandemic. The explanatory and response variables were assessed for correlation, followed by multivariable regression analyses adjusting for PHQ-9 and GAD-7 scores pre-pandemic as well as age, body mass index, and parity. A higher CSI score and a greater number of chronic pain comorbidities before the pandemic were both positively correlated with PHQ-9 and GAD-7 scores during the pandemic. These associations remained significant in adjusted analyses. Increasing the CSI score by 10 was associated with an increase in pandemic PHQ-9 by .74 points (P < .0001) and GAD-7 by .73 points (P < .0001) on average. Each additional chronic pain comorbidity/psychological variable was associated with an increase in pandemic PHQ-9 by an average of .63 points (P = .0004) and GAD-7 by .53 points (P = .0002). Endometriosis patients with a history of central sensitization before the pandemic had worse mental health outcomes during the COVID-19 pandemic. As a risk factor for mental health symptoms in the face of major stressors, clinical proxies for central sensitization can be used to identify endometriosis patients who may need additional support. PerspectiveThis article adds to the growing literature of the clinical importance of central sensitization in endometriosis patients, who had more symptoms of depression and anxiety during the COVID-19 pandemic. Clinical features of central sensitization may help clinicians identify endometriosis patients needing additional support when facing major stressors.

Stigma in Vitiligo: associated factors and severity strata of the PUSH-D score.

Vitiligo is the most common cause of skin depigmentation worldwide. Patients with vitiligo may experience stigma and this needs to be addressed. To evaluate stigma in patients with vitiligo, search for associated factors and establish severity strata for PUSH-D for patients with vitiligo. We conducted a cross-sectional study in ComPaRe vitiligo, an e-cohort of adult vitiligo patients. Stigmatization was assessed using the PUSH-D, a recently validated dermatology-specific stigmatization assessment tool. We conducted univariate and multivariable linear regression to identify patient and disease factors associated with the stigmatization. We used an anchor-based approach to define severity strata of the PUSH-D score. In total, 318 patients participated in this study. The mean age was 49.7 years and 73.9 % of the patients were women. Dark Skin phototype (IV-VI), severe face involvement (high SA-VES of the face) and depression (high PHQ-9 score) were positively associated with a higher score of stigmatization, although this association was weak (r=0.24, p value <0.001 and r=0.30, p value <0.001 respectively). Cut-off values of the PUSH-D that best discriminated patients with high and low stigma, as defined by the anchor question, were 13 and 23, (K=0.622, 95% IC [0.53; 0.71]). Our study is the first using a skin specific stigmatization tool to assess the stigma in patients with vitiligo. Creating strata helps to better interpret the PUSH-D in daily practice and may facilitate its use in clinical trials.

Post-intensive cardiac care outpatient long-term outreach clinic (PICCOLO clinic): Defining health care needs and outcomes among coronary care unit survivors

ObjectivePatients who survive critical illness endure complex physical and mental health conditions, referred to as post-intensive care syndrome (PICS). The University of Michigan's post-intensive cardiac care outpatient long-term outreach (PICCOLO) clinic is designed for patients recently admitted to the coronary care unit (CCU). The long-term goal of this clinic is to understand post-CCU patients' needs and design targeted interventions to reduce their morbidity and mortality post-discharge. As a first step toward this goal, we aimed to define the post-discharge needs of CCU survivors. Design, setting, particpantsWe retrospectively reviewed case-mix data (including rates of depression, PTSD, disability, and cognitive abnormalities) and health outcomes for patients referred to the PICCOLO clinic from July 1, 2018, through June 30, 2021 at Michigan Medicine. ResultsOf the 134 referred patients meeting inclusion criteria, 74 (55 %) patients were seen in the PICCOLO clinic within 30 days of discharge. Patients seen in the clinic frequently screened positive for depression (PHQ-2 score ≥3, 21.4 %) and cognitive impairment (MOCA <26, 38.8 %). Further, patients also reported high rates of physical difficulty (mean WHODAS 2.0 score 28.4 %, consistent with moderate physical difficulty). Consistent with medical intensive care unit (ICU) patients, CCU survivors experience PICS. ConclusionThis work highlights the feasibility of an outpatient care model and the need to leverage information gathered from this care model to develop treatment strategies and pathways to address symptoms of PICS in CCU survivors, including depression, cognitive impairment, and physical disability.

The relationship between the frequency of headaches associated with the personal protective equipment and its influencing factors is mediated by depression: A cross-sectional study

BackgroundTo evaluate the factors affecting personal protective equipment (PPE) associated with headaches in healthcare workers during the first hit of coronavirus disease 2019 (COVID-19) outbreak in China in order to provide evidence for improving the prevention and treatment of PPE-associated headaches in frontline medical personnel. MethodsIn this cross-sectional study, the baseline characteristics and the prevalence of the PPE-associated headaches among frontline healthcare workers at Wuhan Taikang Hospital were objectively evaluated by means of a questionnaire survey. We obtained predictors of PPE-associated headaches frequency by multiple regression analyses. The path analysis model was applied to determine the interrelationships between the variables related to PPE-associated headaches frequency. ResultsAmong the 520 participants, 436 (83.85 %) reported PPE-associated headaches during the anti-epidemic period. Compare with non-PPE-associated headache, age, PHQ-9 score >10, nurses, and PSQI>5were statistically significant found in participants with PPE-associated headaches. Multivariable linear regression showed that the occupation(nurse), pre-existing primary headache diagnosis, headache intensity and depression were risk factors for the frequency of PPE-associated headaches. The path analysis model observed that direct effects from occupation (nurse), pre-existing primary headache diagnosis, headache intensity and depression on the frequency of PPE-associated headaches. Depression indirectly mediated the effects of headache intensity and sleep quality on headache frequency. (All P < 0.05) ConclusionThis study provided a path analysis model that illustrates the relationships between PPE-associated headaches frequency and its related factors among healthcare workers during the COVID-19 pandemic. It is crucial to the management of PPE-associated headaches to reduce its consequences for frontline healthcare workers.

The Association between Self-Care Activities and Depression in Adult Patients with Type 2 Diabetes in Saudi Arabia: A Cross-Sectional Web-Based Survey Study.

This study examined the level of adherence to self-care behaviors among individuals with type 2 diabetes in Saudi Arabia and its connection with depression and demographic factors. A cross-sectional survey was conducted among diabetes patients using the Patient Health Questionnaire (PHQ-9) to measure depression and the Summary of Diabetes Self-Care Activities (SDSCA) to evaluate diabetes self-care activities. Among the 252 participants who completed the survey, 43.2% were older than 55 and 59% were men. The ordinal regression model showed an association between the PHQ-9 and SDSCA scores with an OR of 0.83 (95% CI: 0.71 to 0.96, p = 0.013). The PHQ-9 score was significantly associated with blood sugar monitoring (OR: 0.90 [95% CI: 0.82 to 0.99, p = 0.003]), exercise (OR: 0.88 [95% CI: 0.79 to 0.98, p = 0.002]), and diet (OR: 0.94 [95% CI: 0.85 to 1.03, p = 0.045]). Of all the diabetes-related factors, only a history of hospitalization and receiving diabetes education were found to be associated with improved self-care behaviors. In conclusion, a negative association was found between PHQ-9 scores and the SDSCA mean score and most daily diabetic self-care behavior components.

Food cravings after bariatric surgery: comparing laparoscopic sleeve gastrectomy and Roux-en-Y gastric bypass

BackgroundResearch suggests that food choices, preferences, and tastes change after bariatric surgery, but evidence regarding changes in food cravings is mixed.ObjectivesThe primary aim of this cohort study was to compare food cravings during the first year following bariatric surgery in patients who had undergone sleeve gastrectomy (SG) versus Roux-en-Y gastric bypass (RYGB).SettingIntegrated multispecialty health system, United States.MethodsPatients aged ≥ 18 years seen between May 2017 and July 2019, provided informed consent, completed the Food Craving Inventory (FCI), and had ≥ 1 year of follow-up after undergoing primary SG or RYGB were included in the study. Secondary data captured included psychological and behavioral measures. Preoperative and postoperative (3, 6, 9, and 12 months) FCI scores of patients who underwent SG and RYGB were compared.ResultsSome attrition occurred postoperatively (N = 187 at baseline, 141 at 3 months, 108 at 6 months, 89 at 9 months, and 84 at 12 months). No significant relationship between pre- or postoperative food cravings and surgery type was found except on the carbohydrate subscale. Patients with higher preoperative food addiction symptoms were not more likely to experience an earlier reoccurrence of food cravings during the first 12 months after surgery. Likewise, patients with higher levels of preoperative depression and anxiety were not more likely to have early reoccurrence of food cravings during the first 12 months after surgery; however, those with higher PHQ9 scores at baseline had uniformly higher food craving scores at all timepoints (pre-surgery, 3 m, 6 m, 9 m, and 12 m).ConclusionsResults suggest that food cravings in the year after bariatric surgery are equivalent by surgery type and do not appear to be related to preoperative psychological factors or eating behaviors.Level of evidenceLevel III: Evidence obtained from well-designed cohort.

Age matters: association between age and depression severity at the time of OSA diagnosis and PAP adherence in adult patients.

Numerous studies have shown an association and symptom overlaps between obstructive sleep apnea (OSA) and depression. However, data are limited on the association between age, sex, the severity of depression at the time of OSA diagnosis, and its impact on positive airway pressure (PAP) adherence. The Patient Health Questionnaire (PHQ-9) is a validated depression screening and severity scoring tool recommended by the Diagnostic and Statistical Manual of Mental Disorders (fifth edition). In this retrospective observational study, we evaluate the interrelationship between age at OSA diagnosis, depression severity, and PAP adherence. Patients with new OSA diagnosis, seen at the University of California San Francisco-Fresno Sleep Center between February and October of 2022, were evaluated. PHQ-9 scores for depression severity uses a 1 to 5 scale (1 = none, 2 = mild, 3 = moderate, 4 moderately severe, 5 = severe). The PHQ-9 was administered at the time of OSA diagnosis and follow-up. Average daily PAP usage hours were obtained from PAP devices between 1 to 3 months after therapy initiation. IBM SPSS version 29.0.0 was used to calculate descriptive statistics, Pearson correlation, and Mann-Whitney test. Seventy-seven patients fit the inclusion criteria, of which 28 were women (36.4%). The average baseline apnea-hypopnea index was 34.5 (standard deviation 31.8), with a PHQ-9 mean of 8.3 with standard deviation ± 5.9. A Mann-Whitney comparison between the group with normal PHQ-9 scores and the group with PHQ-9 scores consistent with depression (score of 5 or greater) showed no statistically significant differences in apnea-hypopnea index (P = .470) or average night hour use (P = .195). There was a statistically significant difference in age between both groups (P = .031). Spearman correlation confirmed a negative, statistically significant correlation between PHQ-9 scores and age in patients with OSA. This study showed that PHQ-9 scores at the time of OSA diagnosis are moderately correlated with younger age, with those patients younger than 50 years old having more moderate to severe depression scores than older patients. We did not find a correlation between age and PAP adherence or between PHQ-9 scores and PAP adherence. Our findings can help identify high-risk depression patients early in the diagnosis of OSA and bring awareness that the young adult population can be particularly vulnerable. Niraula R, Singh A, DelRosso LM, Meghpara S, Keenan L. Age matters: association between age and depression severity at the time of OSA diagnosis and PAP adherence in adult patients. J Clin Sleep Med. 2024;20(6):859-862.

Amygdala-derived-EEG-fMRI-pattern neurofeedback for the treatment of chronic post-traumatic stress disorder. A prospective, multicenter, multinational study evaluating clinical efficacy

We conducted a prospective, single arm, multisite, multinational, open label trial assessing the safety and efficacy of a novel amygdala derived neurofeedback treatment, designated Amygdala-Derived-EFP, for chronic PTSD. Participants, including veterans and civilians, underwent screening, training, 15 neurofeedback sessions over 8 weeks and; baseline, termination (8 weeks) and 3 month post treatment assessments with validated measures. The primary endpoint was more than 50 % of the participants demonstrating a Minimally Clinically Important Difference (MCID) defined as a 6-point reduction, on the Clinician Administered PTSD Scale (CAPS-5) total score at 3 months. Secondary measures included the PCL-5, ERQ, PHQ-9, and CGI. Statistical analyses were performed using SAS®V9.4. The primary endpoint was met, with a CAPS-5 MCID response rate of 66.7 %. The average reduction in CAPS-5 total scores at 3 month follow up was 13.5 points, more than twice the MCID. Changes from baseline in CAPS-5, PCL-5, PHQ-9 scores at 8 weeks and the 3 month follow-up demonstrated statistically significant improvements in response and; demonstrated effect sizes ranging from 0.46 to 1.07. Adverse events were mild and resolved after treatment. This study builds on prior research demonstrating similar outcomes using amygdala-derived neurofeedback. Positive attributes of this therapy include monitoring by non-physician personnel, affordability, accessibility, and tolerability.

COVID-19 Pandemic Impact on the Trajectories of Cognitive Decline and Depression Symptoms in Long-Term Care Facility Residents

ObjectivesTo compare the longitudinal rates of change in cognition and depressive symptoms between 2019 (pre–COVID-19 pandemic) and 2020 (COVID-19 pandemic) among long-term care facility (LTCF) residents in Iowa, which ranked among the top 10 US states that suffered from extreme nursing staff shortages during this crisis. DesignA longitudinal cohort study analyzing the Long-Term Care Minimum Data Set (MDS) version 3.0 between January 1, 2019, and December 31, 2020. Setting and ParticipantsLTCF residents from the state of Iowa, with a first assessment before March 10 for each year (2019 and 2020), LTCF stay period >60 days, and at least 2 documented assessments with a minimum of 45 days in between. LTCF residents with a Brief Interview for Mental Status score (BIMS) <3 were excluded. MethodsWe computed doubly robust estimators by combining regression and propensity score models for BIMS (cognitive decline) and Nine-item Patient Health Questionnaire (PHQ-9; depression symptoms) monthly scores for 2020 vs 2019. ResultsA total of 24,025 residents from 436 LTCFs were included. Our research revealed a marginally accelerated monthly decline in BIMS scores during 2020 as opposed to 2019, with a rate of −0.012 per month (95% CI −0.022, −0.002; P = .016). Simultaneously, we observed a monthly increment of 0.016 in the PHQ-9 scores among LTCF residents in 2020 (95% CI 0.006, 0.028; P = .003). Conclusions and ImplicationsOur study identified a notable yet modest increase in cognitive decline and depressive symptoms among NH residents in Iowa during the COVID-19 pandemic. Although statistically significant, the changes were small and may not have clinical relevance over 1 year. Further research is needed to examine risk factors for cognitive decline during pandemic scenarios such as social isolation, loneliness, inappropriate patient-centered care, and the relationship with staff shortage and facility resources.

Improving the mental health of farmers: what types of remote support are acceptable, feasible, and improve outcomes? A feasibility RCT

BackgroundThe farming community have high rates of poor mental health, and are relatively ‘hard to reach’ with mental health services. The aim of this study was therefore to undertake a feasibility RCT, based on two mental health interventions. These were (1) CBT based ‘Living Life to the Full for Farming Communities’ (LLTTF-F; www.llttf.com), and (2) a holistic social and emotional support service delivered by the Royal Scottish Agricultural Benevolent Institution (RSABI). The feasibility was supplemented by process evaluation.MethodsThis feasibility study aimed to recruit 40 individuals from the farming community who were experiencing a common health problem defined as a score of > = 8 on PHQ-9. A snowball approach was used to recruit interested individuals who had an association with farming. An initial telephone call screened for eligibility and obtained consent to randomisation to the two specified interventions, or to a thirdly group receiving a combination of both LLTTF-F and ‘Social and emotional support’. Participants were permitted to override the randomised option if they expressed a strong preference before the interventions began.ResultsThirty-two participants provided baseline and three-month data. All three interventions showed positive improvements on PHQ-9 scores as follows: the ‘combined intervention’ mean baseline score was 18.1 compared to 12.0 at 3-month follow-up (mean change 6.1). ‘Social and emotional support’ mean baseline score was 11.3 compared to 6.7 at 3-month follow-up (mean change 4.6). ‘LLTTF-F CBT-based intervention only’ mean baseline score was 11.8 compared to 4.5 at 3-month follow-up (mean change 7.3). The retention rate was 81% at three months.In a sub-group of the LLTTF-F CBT-based intervention online materials were supplemented by telephone guided support. This approach received very positive feedback.ConclusionsRecruitment from the farming community required intense effort, and good engagement can then be retained for at least three months. There is evidence that the interventions used were feasible, and tentative evidence that they had a demonstrable effect on mental wellbeing, with the LLTTFF providing the largest effect on PHQ-9 scores.Trial Registration Number ISRCTN27173711, submitted 25/08/2023, confirmed 22/092023.

Cardiometabolic index is associated with increased depression: A population-based study

Background and aimDepression is a common and complex psychiatric disorder, and lipid metabolism plays an important role in the development of psychiatric disorders such as depression. Cardiometabolic index (CMI) is a novel index that synthesizes two quantitative indicators of blood lipids (triglyceride(TG)/high-density lipoprotein cholesterol (HDL-C)) and human obesity-related parameters (waist height ratio (WHtR)). This study used NHANES data to explore the correlation between CMI and the incidence of depression. Methods and resultsBased on the data of the National Health and Nutrition Examination Survey (NHANES) 2011–2018, multivariate logistic regression, sensitivity analysis, and smooth curve fitting were used to study the relationship between CMI and depression. Subgroup analysis and interaction tests were used to investigate whether the association was stable in different populations.CMI was positively associated with depression in 7229 participants aged >20 years. In the fully adjusted model, each unit increase in CMI was associated with 36 % higher likelihood of depression symptoms [1.36(1.16,1.59)]. Participants in the highest quartile of CMI had a 62 % higher risk of depression than participants in the lowest quartile [1.62(1.17,2.23)]. This positive correlation was more pronounced in those with hypertension. ConclusionsCMI was associated with a higher PHQ-9 score and an increased likelihood of depression among US adults. Further large-scale prospective studies are still need to analyze the role of CMI in depression.

Higher atherogenic index of plasma is associated with increased major depressive disorder: insights from a nationally representative study.

Emerging studies reveal a shared pathophysiological underpinning for metabolic problems and mental illnesses. The present study aimed to determine the association between atherogenic index of plasma (AIP) and the incidence of major depressive disorder (MDD). 7,951 subjects of US adults were collected from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. MDD was evaluated through the Patient Health Questionnaire (PHQ-9). Multivariate logistic regression, sensitivity analysis, and spline smoothing plot method were used to identify the relationship between AIP and MDD. The cut-off point was calculated using recursive partitioning analysis when segmenting effects emerged. The area under the receiver operating characteristic (ROC) curve (AUC) and Hosmer-Lemeshow test were conducted to evaluate the performance of AIP in identifying MDD. Subgroup analyses and interaction tests were used to explore whether the association was stable in different populations. A positive correlation between AIP and PHQ-9 score and MDD was both observed in 7,951 subjects included in the study, with a significant threshold of -0.42 determined using recursive partitioning analysis. In the fully adjusted model, a positive association between AIP and PHQ-9 score and MDD was observed (β=0.46, 95% CI 0.14~0.78; OR=1.42, 95% CI 1.04~1.93). Individuals in the highest AIP quartile had a 0.39-unit higher PHQ-9 score (β=0.39, 95% CI 0.12~0.66) and a significantly 33% greater risk of MDD than those in the lowest AIP quartile (OR=1.33, 95% CI 1.02~1.73). Spline smoothing plot analysis further confirmed the positive and non-linear association between AIP and PHQ-9 and MDD. ROC analysis (AUC=0.771) and the Hosmer-Lemeshow test (χ2 = 14.239, P=0.076) suggested an excellent performance and goodness-of-fit of the relatively optimal model. DCA and CIC analysis also revealed a favorable overall net benefit and clinical impact of the model. Subgroup analyses and interaction tests revealed that the association between AIP and PHQ-9 score and MDD remained consistent across different subgroups and was not modified by other covariates, and this positive correlation was more pronounced in those with diabetes or hypertension. An elevated AIP is linked to a higher chance of MDD, especially in those with diabetes or hypertension. Resolving dyslipidemia and managing comorbidities may help reduce the likelihood of developing MDD.