Self-reported Anxiety Symptoms Research Articles

Quality of life and mood disorders of mild to moderate stroke survivors in the early post-hospital discharge phase: a cross-sectional survey study

BackgroundExploring sociodemographic and disease characteristics that contribute to patient-reported outcomes can inform targeting of strategies to support recovery and adaptation to stroke. This study aimed to examine among a sample of stroke survivors at three months post-hospital discharge: (1) self-reported physical and mental health quality of life scores; (2) self-reported depressive and anxiety symptoms; and (3) sociodemographic and clinical predictors of these outcomes.MethodsThis cross-sectional survey study recruited stroke survivors from eight hospitals in one Australian state. Adult survivors recently discharged from hospital stroke wards (within 3 months) were mailed a study information package and invited to complete a pen-and paper survey. Survey items assessed: quality of life (SF12v2), depression (PHQ-9), anxiety (GAD-7) and sociodemographic and clinical characteristics. Predictors were examined using multiple linear regression analysis.ResultsOf the 1161 eligible patients who were posted a recruitment pack, 401 (35%) returned a completed survey. Participants reported a mean SF-12v2 Physical Composite Score (PCS) quality of life score of 44.09 (SD = 9.57); and a mean SF-12v2 Mental Composite Score (MCS) quality of life score of 46.84 (SD = 10.0). Approximately one third of participants (34%; n = 132) were classified as depressed (PHQ-9 ≥ 10); and 27% (n = 104) were classified as anxious (GAD-7 ≥ 8). Lower PCS was associated with being female, not employed and having a comorbid diagnosis of diabetes and atrial fibrillation. Lower MCS was associated with a history of transient ischemic attack (TIA). Males and those with higher levels of education, had greater odds of having lower depression severity; those with a history of TIA or diabetes had lower odds of having lower depression severity. Males had greater odds of having lower anxiety severity; those with a history of TIA had lower odds of having lower anxiety severity.ConclusionSub-groups of stroke survivors may be at-risk of poorer quality of life and psychological morbidity in the early post-discharge phase. These findings support the role of early identification and prioritisation of at-risk survivors at discharge, as they may require modifications to standard hospital discharge processes tailored to their level of risk.

Patients with neuropathic pain from lumbosacral radiculopathy demonstrate similar pressure pain thresholds and conditioned pain modulation to those with fibromyalgia

ObjectiveThe purpose of the study was to evaluate pain thresholds, impairment of the endogenous pain modulatory system, and self-reported cognitive-emotional and central sensitization-related symptoms among three subject groups: a rarely studied patient cohort with neuropathic pain from lumbosacral radiculopathy (NPLSR), patients with fibromyalgia (FM) and healthy controls (HC). MethodsPatient-reported pain-related symptomology was evaluated with psychometricallyvalidated questionnaires. Pressure pain threshold (PPT), heat pain threshold (HPT), and cold pain threshold (CPT) were assessed in the low back and contralateral forearm. Conditioned pain modulation (CPM) was evaluated with a recently introduced methodology that accounts for a standard error of measurement. ResultsCompared to the HC subjects, the FM and NPLSR subjects had significantly lower pain thresholds and more CPM impairment. No significant differences in PPT and CPM were observed between the FM and NPLSR groups. Significant group differences were found in self-reported symptoms of depression, anxiety, stress, and central sensitization. Self-reported symptom severity increased in a stair-step fashion, with the HC group scoring lowest and FM group scoring highest. ConclusionThe NPLSR group manifested CPM dysfunction and pressure hyperalgesia at similar levels to the FM group, indicating that these two chronic pain syndromes, likely based on different pathophysiological mechanisms, in fact share some common pain processing features. However, though both patient groups demonstrated similarities in pain processing, self-reported cognitive-emotional and central sensitization-related symptom severity was significantly higher in the FM cohort, which distinguished them from the chronic NPLSR cohort.

Theory of Mind in Typical Adults: Sex-Differences and Its Associations with Anxiety and Depression Symptoms.

Despite an increased interest in research of theory of mind (ToM) in recent years-both related to psychopathology (depression and anxiety spectrum disorders) and within the typical adults, the existing literature is scarce and presents some conflicting results. Present study aimed to explore sex differences in ToM, alongside its associations with current anxiety and depression symptoms, in a large sample of typical adults collected online. Participants completed the 15-minutes survey obtaining socio-demographic data, current self-reported depression and anxiety symptom severity, and ToM ability (the Reading the Mind in the Eyes Task). The sample comprised 605 participants-mostly younger adults, women, and high school graduate/student population. The majority of participants reported minimal/mild depressive and anxiety symptoms that were significantly more severe in women. Women also displayed significantly better overall ToM ability than men. Significant negative correlation between the severity of current depressive and anxiety symptoms and ToM ability was also observed, but only in individuals expressing the symptoms requiring clinical attention (such association was absent in those exhibiting minimal/mild symptoms). Present research adds to the existing knowledge on the association between ToM ability, anxiety, and depressive symptoms in typical adults as well as on the sex-differences in this important social cognitive domain. Exploring the factors representing indicators of vulnerability for depression-anxiety spectrum disorders is important for their timely detection and treatment.

Improvements in Glycemic Control and Depressive Symptoms Among Adults With Type 2 Diabetes: Retrospective Study.

The prevalence of diabetes remains high, with traditional lifestyle interventions demonstrating limited success in improving diabetes-related outcomes, particularly among individuals with diabetes-related mental health comorbidities. Digital health interventions provide the ability to ease the sustained and rigorous self-management needs associated with diabetes care and treatment. Current interventions though, are plagued by small sample sizes, underpowered pilot studies, and immense heterogeneity in program intervention, duration, and measured outcomes. Therefore, this work aimed to evaluate the effectiveness of a mobile health diabetes management program on measures of glycemic control in a high-risk population with type 2 diabetes (hemoglobin A1c [HbA1c] ≥8.0%), utilizing a sample of 1128 participants who provided baseline and follow-up data. The sustainability of this change in glycemic control was examined in a subset of participants (n=455) at 6 months and 1 year following program enrollment. A secondary analysis examined changes in glycemic control among a subset of participants with self-reported mild-to-moderate depression at baseline. This study utilized a single-arm, retrospective design. Participants were enrolled in the Vida Health Diabetes Management Program. This app-based intervention utilized one-on-one remote sessions with a health coach, registered dietitian nutritionist, and/or a certified diabetes care and education specialist and structured lessons and tools related to diabetes management and self-care. Participants provided baseline (-365 to 21 days of program enrollment) as well as follow-up (at least 90 days following program enrollment) HbA1c values. Paired t tests were used to evaluate changes in HbA1c between baseline and follow-up time points. The 8-item Patient Health Questionnaire and the 7-item Generalized Anxiety Disorder Scale were utilized to assess self-reported depressive and anxiety symptoms, respectively. Paired t tests and linear regression modeling accounting for pertinent covariates were used to evaluate changes in mental health symptom acuity and their relationship with changes in glycemic control. We observed a significant decrease in HbA1c of -1.35 points between baseline (mean 9.84, SD 1.64) and follow-up (mean 8.48, SD 1.77; t=22.56, P<.001) among this large, high-risk sample. This decrease was sustained up to 1 year following program enrollment. Additionally, a significant relationship between improvements in depressive symptom acuity and improvements in HbA1c was observed (β=-0.74, P=.03). This study demonstrates clinically meaningful improvements in glycemic control among participants enrolled in the Vida Health Diabetes Management Program. Additionally, this work presents one of the largest studied samples of participants enrolled in a digital health diabetes management program to date.

Predictors of sleep quality for autistic people across adulthood.

Poor sleep can have a significant impact on physical health and well-being. Sleep problems are common among autistic children, but less is known about sleep across the autistic adult lifespan. Autistic adults (n=730, aged 18-78 years) were recruited via Simons Powering Autism Research for Knowledge Research Match. Participants completed online surveys asking about demographics, health problems, social support, symptoms of anxiety and depression, and overall and specific aspects of sleep quality. Regression analyses explored the variables associated with sleep quality. Physical health, assigned female sex at birth and self-reported anxiety symptoms significantly contributed to models for all aspects of sleep. Perceived stress contributed to models of overall and subjective sleep quality, and daytime dysfunction. Depression symptoms did not contribute significantly to any of the models of sleep quality. However, utilizing government support mechanisms (such as social security) contributed to the model of sleep efficiency. Age contributed little to models of sleep quality, whereas perceived stress and psychotropic medication use contributed to some but not all aspects of sleep. Sleep quality is poor for autistic people across the adult lifespan. Given known impacts of poor sleep on health, cognition and quality of life, attention should be paid to sleep and its possible everyday effects for autistic people of all ages.

Prevalence and correlates of subjective cognitive concerns in Australian university students during the COVID-19 pandemic.

Coronavirus (COVID-19) instigated unprecedented global effects on healthcare systems, economies, employment, education, travel, and social lives. In addition to increased mental health challenges, pandemic restrictions have triggered emerging cognitive concerns. University students are at particularly high risk of adverse lockdown-related effects, yet despite the substantial adaptions to learning necessitated by COVID-19, limited research has so far focused on the cognitive consequences of the pandemic among university students. This study aimed to comprehensively examine the nature, prevalence, and correlates of subjective cognitive concerns among 972 students (Median age = 22 years, 70% female) enrolled at Monash University, Australia, in December 2020. Students completed the online THRIVE@Monash survey, 5 weeks following prolonged lockdown in Melbourne. Using group comparisons and hierarchical binary logistic regression analyses, we examined associations between demographic and enrolment characteristics, COVID-19-related experiences and impacts (author-developed questions), self-reported anxiety and depression symptoms (PROMIS Anxiety and Depression scales), and students' perceived changes in everyday cognitive functions (author-developed questions). Over 60% of students reported subjective cognitive concerns (SCCs). After controlling for anxiety and depression symptoms, students reporting more SCCs were more likely to be younger, from White/European ethnic backgrounds, and in their first year of undergraduate study. No differences in SCCs were found between male and female students. Greater worry, anxiety, or stress related to COVID-19 (e.g., infection, leaving the house, hygiene and exposure prevention, impact on physical and mental health), and time spent reading or talking about COVID-19, were generally not associated with SCCs after controlling for anxiety and depression symptoms. These findings highlight vulnerable subgroups of students who might benefit from regular monitoring, education, and interventions to support their cognitive health during the pandemic and beyond. In addition, cognitive concerns may provide additional insight into mental health problems among students, and emphasize the importance of understanding factors that impact students' long-term academic and career success.

Long-Term Psychological Effects of the COVID-19 Pandemic: Anxiety and Depression among Physicians in a Tertiary Referral Hospital.

Since the COVID-19 pandemic peaked, few studies have thereafter assessed the continued effects of the COVID-19 pandemic on the mental health of healthcare workers. To determine the rate and predictors of self-reported symptoms of depression and anxiety among physicians at a public tertiary care teaching hospital in Saudi Arabia about 2 years after COVID-19 was declared a pandemic. This cross-sectional study was conducted from September 2021 to April 2022 and targeted all physicians working at King Fahd Hospital of the University, Al Khobar, Saudi Arabia. Patient Health Questionnaire-9 and General Anxiety Disorder-7 were used to elicit self-reported data regarding depression and anxiety, respectively. In addition, sociodemographic and job-related data were collected. A total of 438 physicians responded, of which 200 (45.7%) reported symptoms of depression and 190 (43.4%) of anxiety. Being aged 25-30 years, female, resident, and reporting reduction in work quality were factors significantly associated with both anxiety and depression. Female gender (AOR = 3.570; 95% CI = 2.283-5.582; P < 0.001), working an average 9-11 hours/day (AOR = 2.130; 95% CI = 1.009-4.495; P < 0.047), and self-perceived reduction in work quality (AOR = 3.139; 95% CI = 2.047-4.813; P < 0.001) were significant independent predictors of anxiety. Female gender (AOR = 2.929; 95% CI = 1.845-4.649; P < 0.001) and self-perceived reduction in work quality (AOR = 3.141; 95% CI = 2.053-4.804; P < 0.001) were significant independent predictors of depression. About half of the physicians reported symptoms of anxiety and depression. These findings are suggestive of the need for large-scale studies to determine the ongoing effects of the COVID-19 pandemic on the mental health of healthcare workers in Saudi Arabia.

Changes in anxiety and depression during the COVID-19 pandemic in the European population: A meta-analysis of changes and associations with restriction policies.

Early studies of common mental disorders (CMDs) during the COVID-19 pandemic mainly report increases; however, more recent findings have been mixed. Also, studies assessing the effects of restriction measures on CMDs show varied results. The aim of this meta-analysis was to assess changes in levels of CMDs from pre-/early to during the pandemic and the effects of restriction policies in the European population. We searched for studies assessing both pre-pandemic and peri-pandemic self-reported emotional distress and symptoms of depression or anxiety among nationally/regionally representative samples in Europe and collected microdata from those studies. Estimates of corona containment index were related to changes in CMDs using random-effects meta-regression. Our search strategy resulted in findings from 15 datasets drawn from 8 European countries being included in the meta-analysis. There was no evidence of change in the prevalence of emotional distress, anxiety, or depression from before to during the pandemic; but from early pandemic periods to later periods, there were significant decreases in emotional distress and anxiety. Increased school restrictions and social distancing were associated with small increases in self-reported emotional distress. Despite initial concerns of increased emotional distress and mental illness due to the COVID-19 pandemic, the results from this meta-analysis indicate that there was a decrease in emotional distress and no change in anxiety or depression in the general population in Europe. Overall, our findings support the importance of strong governance when implementing periodic and robust restriction measures to combat the spread of COVID-19.

Effects of attention bias modification for anxiety: Neurophysiological indices and moderation by symptom severity

ObjectiveAttention bias modification (ABM) aims to decrease anxiety symptom severity through the reduction of threat-related attention bias (AB). Individual differences in treatment response and poor measurement reliability of AB have called its clinical promise into question. The current study examined whether individual differences in anxiety severity at baseline moderated treatment response, and employed both behavioral and neurophysiological metrics of AB. MethodsParticipants (N = 99) were randomly assigned to four weeks of ABM or placebo control training (PT). Self-reported anxiety symptom severity, and AB metrics and ERPs generated during the dot probe task were collected at baseline (Time 1), one-week post-intervention (Time 5), and at a three-month follow-up (Time 6). ResultsABM, relative to PT, reduced ERPs indexing attention discrimination (N170) and increased ERPs indexing salience tracking (P3). Increases in P3 were associated with ABM-related reductions in anxiety. Anxiety severity was reduced following ABM, but only among those with higher baseline anxiety symptom severity. ConclusionsABM effectively reduced symptom severity among those with higher levels of anxiety, and modulated neurophysiological indices of AB. SignificanceResults provide evidence for attention-relevant ERPs as outcomes of ABM treatment responsivity and suggest that ABM may be most beneficial for those with more severe anxiety symptoms.

The relationship between leisure activities and the mental health of college students during the COVID-19 pandemic

ABSTRACT Despite the benefits of leisure activities for mental health, very little is known about the link between leisure activities and mental health of college students during the COVID-19 pandemic. To fill this knowledge gap, this study sought to examine the relationship between leisure activities and mental health during the COVID-19 pandemic and lockdown. A cross-sectional online survey of 30 Chinese provinces was conducted from March 9 to 25. The Zung’s Self-Rating Anxiety Scale and Self-Rating Depression Scale were conducted to measure mental health, while the duration of leisure activities was used to evaluate leisure. Results of logistic regression showed the impact of leisure activities on self-rated mental health depends on types of leisure activities. Reading and calligraphy are beneficial to self-rated mental health while online activities are not. Self-rated mental health is associated with leisure activities. More college students with self-reported anxiety symptoms like to participate in hobbies and outdoor physical activities, while college students who reported depression are reluctant to participate in most leisure activities. Females, postgraduates incline to participate in more types of leisure activities, and students living in urban areas are reluctant to join outdoor physical activities. Besides, these groups are more likely to have self-reported mental illness symptoms.

Effects of online brain training on self-reported mental health symptoms for generally healthy adults during the Covid-19 pandemic.

The cognitive training Strategic Memory Advanced Reasoning Training (SMART) has been shown to improve symptoms of depression, anxiety, and stress when completed using in-person delivery, but mental health outcomes have not yet been studied for online delivery of SMART. Data was analyzed from 145 generally healthy adults participating in the BrainHealth Project pilot study who had access to 12 weeks of online self-paced SMART and self-reported mental health symptoms on the Depression Anxiety Stress Scale (DASS-21) pre- and post-training. We utilized linear models to examine the change in self-reported symptoms of depression, anxiety, and stress following the 12-week training period and to explore the influence of age, gender, and education on changes in symptomatology. Data from 44 participants who completed a follow-up DASS-21 6 months after completing SMART was used to explore the lasting impact of the training. Improvements in depression, anxiety, and stress symptoms were observed following online SMART, evidenced by a significant decrease in self-reported symptoms on the DASS-21. Improvement in self-reported mental health symptomatology was maintained or continued to improve 6-month post-training. No significant effect of gender was observed, but findings motivate additional exploration of the effects of education and age. Online SMART should be considered a low-cost, high-impact approach for supporting public mental health for generally healthy adults.

A prospective observational study for a Federated Artificial Intelligence solution for moniToring mental Health status after cancer treatment (FAITH): study protocol

BackgroundDepression is a common condition among cancer patients, across several points in the disease trajectory. Although presenting higher prevalence rates than the general population, it is often not reported or remains unnoticed. Moreover, somatic symptoms of depression are common in the oncological context and should not be dismissed as a general symptom of cancer. It becomes even more challenging to track psychological distress in the period after the treatment, where connection with the healthcare system typically becomes sporadic. The main goal of the FAITH project is to remotely identify and predict depressive symptoms in cancer survivors, based on a federated machine learning (ML) approach, towards optimization of privacy.MethodsFAITH will remotely analyse depression markers, predicting their negative trends. These markers will be treated in distinct categories, namely nutrition, sleep, activity and voice, assessed in part through wearable technologies. The study will include 300 patients who have had a previous diagnosis of breast or lung cancer and will be recruited 1 to 5 years after the end of primary cancer. The study will be organized as a 12-month longitudinal prospective observational cohort study, with monthly assessments to evaluate depression symptoms and quality of life among cancer survivors. The primary endpoint is the severity of depressive symptoms as measured by the Hamilton Depression Rating Scale (Ham-D) at months 3, 6, 9 and 12. Secondary outcomes include self-reported anxiety and depression symptoms (HADS scale), and perceived quality of life (EORTC questionnaires), at baseline and monthly. Based on the predictive models gathered during the study, FAITH will also aim at further developing a conceptual federated learning framework, enabling to build machine learning models for the prediction and monitoring of depression without direct access to user’s personal data.DiscussionImprovements in the objectivity of psychiatric assessment are necessary. Wearable technologies can provide potential indicators of depression and anxiety and be used for biofeedback. If the FAITH application is effective, it will provide healthcare systems with a novel and innovative method to screen depressive symptoms in oncological settings.Trial registrationTrial ID: ISRCTN10423782. Date registered: 21/03/2022.

ACT-i, an insomnia intervention for autistic adults: a pilot study

Insomnia and disturbed sleep are more common in autistic adults compared with non-autistic adults, contributing to significant social, psychological and health burdens. However, sleep intervention research for autistic adults is lacking. The aim of the study was to implement an acceptance and commitment therapy group insomnia intervention (ACT-i) tailored for autistic adults to examine its impact on insomnia and co-occurring mental health symptoms. Eight individuals (6 male, 2 female) aged between 18 and 70 years, with a clinical diagnosis of autism spectrum disorder, and scores ranging from 9 to 26 on the Insomnia Severity Index (ISI) participated in the trial. Participants were assigned to one of two intervention groups (4 per group) within a multiple baseline over time design for group. Participants completed questionnaires pre-intervention, post-intervention, and at 2-month follow-up, actigraphy 1 week prior to intervention and 1 week post-intervention, and a daily sleep diary from baseline to 1 week post-intervention, and 1 week at follow-up. At a group level there were significant improvements in ISI (λ2=10.17, p=.006) and HADS-A (anxiety) (λ2=8.40, p=.015) scores across the three time points. Clinically reliable improvement occurred for ISI scores (n=5) and HADS-A scores (n=4) following intervention. Client satisfaction indicated that ACT-i was an acceptable intervention to the participants (median 4 out of 5). This pilot study with eight autistic adults indicates that ACT-i is both an efficacious and acceptable intervention for reducing self-reported insomnia and anxiety symptoms in autistic adults.

Maternal psychological distress associates with alterations in resting-state low-frequency fluctuations and distal functional connectivity of the neonate medial prefrontal cortex.

Prenatal stress exposure (PSE) has been observed to exert a programming effect on the developing infant brain, possibly with long-lasting consequences on temperament, cognitive functions and the risk for developing psychiatric disorders. Several prior studies have revealed that PSE associates with alterations in neonate functional connectivity in the prefrontal regions and amygdala. In this study, we explored whether maternal psychological symptoms measured during the 24th gestational week had associations with neonate resting-state network metrics. Twenty-one neonates (nine female) underwent resting-state fMRI scanning (mean gestation-corrected age at scan 26.95 days) to assess fractional amplitude of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo). The ReHo/fALFF maps were used in multiple regression analysis to investigate whether maternal self-reported anxiety and/or depressive symptoms associate with neonate functional brain features. Maternal psychological distress (composite score of depressive and anxiety symptoms) was positively associated with fALFF in the neonate medial prefrontal cortex (mPFC). Anxiety and depressive symptoms, assessed separately, exhibited similar but weaker associations. Post hoc seed-based connectivity analyses further showed that distal connectivity of mPFC covaried with PSE. No associations were found between neonate ReHo and PSE. These results offer preliminary evidence that PSE may affect functional features of the developing brain during gestation.

Personalized screening and risk profiles for Mild Cognitive Impairment via a Machine Learning Framework: Implications for general practice

ObjectivesDiagnosis of Mild Cognitive Impairment (MCI) requires lengthy diagnostic procedures, typically available at tertiary Health Care Centers (HCC). This prospective study evaluated a flexible Machine Learning (ML) framework toward identifying persons with MCI or dementia based on information that can be readily available in a primary HC setting. MethodsDemographic and clinical data, informant ratings of recent behavioral changes, self-reported anxiety and depression symptoms, subjective cognitive complaints, and Mini Mental State Examination (MMSE) scores were pooled from two aging cohorts from the island of Crete, Greece (N = 763 aged 60–93 years) comprising persons diagnosed with MCI (n = 277) or dementia (n = 153), and cognitively non-impaired persons (CNI, n = 333). A Balanced Random Forest Classifier was used for classification and variable importance-based feature selection in nested cross-validation schemes (CNI vs MCI, CNI vs Dementia, MCI vs Dementia). Global-level model-agnostic analyses identified predictors displaying nonlinear behavior. Local level agnostic analyses pinpointed key predictor variables for a given classification result after statistically controlling for all other predictors in the model. ResultsClassification of MCI vs CNI was achieved with improved sensitivity (74 %) and comparable specificity (73 %) compared to MMSE alone (37.2 % and 94.3 %, respectively). Additional high-ranking features included age, education, behavioral changes, multicomorbidity and polypharmacy. Higher classification accuracy was achieved for MCI vs Dementia (sensitivity/specificity = 87 %) and CNI vs Dementia (sensitivity/specificity = 94 %) using the same set of variables. Model agnostic analyses revealed notable individual variability in the contribution of specific variables toward a given classification result. ConclusionsImproved capacity to identify elderly with MCI can be achieved by combining demographic and medical information readily available at the PHC setting with MMSE scores, and informant ratings of behavioral changes. Explainability at the patient level may help clinicians identify specific predictor variables and patient scores to a given prediction outcome toward personalized risk assessment.

High rates of anxiety detected in mothers of children with inconclusive cystic fibrosis screening results

ObjectiveThe purpose was to assess postpartum depression, anxiety, and depression in mothers of children with an inconclusive diagnosis after a positive cystic fibrosis (CF) newborn screening (NBS), known as cystic fibrosis transmembrane conductance regulator (CFTR)-related metabolic syndrome (CRMS) or CF screen positive, inconclusive diagnosis (CFSPID). There is limited information on the prognosis and on the impact of this designation on maternal mental health. MethodsMothers of children with CRMS/CFSPID and CF identified by NBS were recruited from two centers in California. Maternal mental health was assessed using measures of depression, anxiety, and a scripted interview. Descriptive statistics and multivariate logistic regression were applied for data reporting. ResultsA total of 109 mothers were recruited: CF: 51, CRMS/CFSPID: 58. Mothers from both groups showed higher rates of depression and anxiety symptoms than women in the general population. CRMS/CFSPID and CF mothers had no significant difference on their self-reported symptoms of anxiety and depression after adjusting for potential confounders. Mothers equally reported that their child's diagnosis had a negative impact, and that genetic counseling had a positive impact on their emotional health. ConclusionsCF and CRMS/CFSPID diagnoses impact maternal mental health similarly. Uncertain prognosis of CRMS/CFSPID likely contributed to the negative mental health impact. Providers should consider conducting mental health screening for every mother of a child with CRMS/CFSPID, in addition to the recommended mental health screening for mothers of children with CF. Genetic counseling has potential to mitigate emotional stress on these families.

Sleep Quality and Self-Reported Symptoms of Anxiety and Depression Are Associated with Physical Activity in Patients with Severe COPD.

Sleep quantity, quality and symptoms of depression or anxiety potentially affect the level of daily physical activity (PAL) and plausibly counteracts benefits from pulmonary rehabilitation programs. Their collective impact on PAL is sparsely investigated, particularly in patients with severely progressed chronic obstructive pulmonary disease (COPD). Aim: To investigate if sleep quantity, quality and symptoms from self-reported hospital anxiety and depression scores (HADS) are associated with PAL. Methods: In this exploratory cross-sectional study data were analysed from 148 participants with COPD; GOLD grade II-IV; GOLD group B to D (52% female, mean 69.7 ± SD of 8.4 years, FEV1% predicted 33.6 ± 10.9, 6MWD 327 ± 122 m, CAT 20 ± 7 points), eligible for conventional outpatient hospital-based pulmonary rehabilitation. Participants had sleep and PAL measured 24 h per day for five consecutive days with an activPAL monitor. Adjusted negative binomial regression was applied to investigate the associations with PAL. Results: Participants walked median (25th, 75th percentile) of 2358 (1325.75; 3822.25) steps per day and 14% walked >5000 steps per day on average. Time in bed (TIB) were a median (25th, 75th percentile) of 8.3 (7.1; 9.7) hours and numbers of nocturnal sleeping bouts (NSB) were 1.5 (0.8; 3), Anxiety (HADS-A) and depression (HADS-D) scores were median (25th, 75th percentile) of 5 (3; 8) points and 3 (2; 6) points, respectively, whereof 29% (HADS-A) and 15% (HADS-D) reported scores ≥8 points indicating significant symptoms. The fully adjusted rate ratio (RR) for steps per day for TIB (hours) [RR 0.97 (95% CI: 0.92; 1.02)], NSB (numbers) [RR 1.02 (95% CI: 0.97; 1.07)] were not significantly associated with number of steps per day, while there was a significantly association with number of steps per day for HADS-A [RR 1.04 (95% CI: 1.01; 1.07)] and HADS-D [RR 0.95 (95% CI: 0.91; 0.99)]. Conclusion: This exploratory cross-sectional study found a statistically significant association between HADS-A and HADS-D with numbers of steps per day in patients with severe COPD.

The relations between real-time use of emotion regulation strategies and anxiety and depression symptoms.

How individuals differentially implement specific emotion regulation (ER) strategies is a critical indicator of the progression of depressive and anxiety disorders. Symptoms of anxiety and depression may be associated with differences in ER, but little evidence to date had examined whether anxiety and depression were associated with individual differences in the real-time use of ER strategies. This study used ecological momentary assessment (EMA) in two samples (n = 276) of undergraduate students from a single university who were assessed for 8-10 days. Baseline surveys captured participant self-reported anxiety symptoms and depressive symptoms using the PROMIS-Anxiety scale and the PROMIS-Depression scale, respectively. We measured ER through EMA-adapted prompts from the Cognitive Emotion Regulation Questionnaire (CERQ), which participants received on their internet-enabled cell phones. In pre-registered analyses, we tested the associations between anxiety symptoms with the use of discrete ER strategies in EMA using generalized estimating equations with a log-link function to account for nesting of EMA observations within participants, and further tested whether the findings generalized to depression (not pre-registered). Symptoms of anxiety and depression were associated with greater odds of using both maladaptive and adaptive ER strategy use during the EMA period, and with lower odds of reporting no strategy use. Moreover, associations were generally stronger for maladaptive than adaptive ER strategies. Anxiety and depressive symptoms are related to increased regulatory efforts overall, and results suggest that individuals with anxiety and depressive symptoms may be especially prone to use maladaptive ER strategies. Tracking ER strategies in a natural environment can further inform our understanding of how anxious and depressed individuals attempt to regulate emotions.

What Are Orthopaedic Patients' and Clinical Team Members' Perspectives Regarding Whether and How to Address Mental Health in the Orthopaedic Care Setting? A Qualitative Investigation of Patients With Neck or Back Pain.

What Are Orthopaedic Patients' and Clinical Team Members' Perspectives Regarding Whether and How to Address Mental Health in the Orthopaedic Care Setting? A Qualitative Investigation of Patients With Neck or Back Pain.

Long-Term Psychiatric Symptoms in Autoimmune Encephalitis Remission

Objective To identify the prevalence of self-reported symptoms of depression and anxiety among patients in remission from autoimmune encephalitis (AE). Background Although prior studies have found a high prevalence of residual cognitive deficits among patients in remission from AE, there is a paucity of data on long-term psychiatric outcomes for this patient population. In normal populations, median Patient Health Questionaire-9 (PHQ9) and General Anxiety Disorder-7 (GAD7) scores were reported to be, respectively, around 3 and 2, with prevalence of depressive and anxiety symptoms on these questionnaires reported as around 24% and 23%. Design/Methods Retrospective cross-sectional cohort study at a tertiary center AE clinic between 2012-01-01 and 2021-12-31. Patients were contacted via phone or regular follow-up and completed the PHQ9 and GAD7. Results Forty-one patients were contacted; 29 responded (71%) and were included. Seventeen (59%) were female. Median age was 32.5 years (range 5-77). Autoantibody results were N-methyl-D-aspartate receptor (n = 14, 48%), negative (n = 7, 24%), leucine-rich glioma-inactivated 1 (n = 6, 21%), and contactin-associated protein-like 2 (n = 1, 3%). Median time from disease onset to questionnaire collection was 6.3 years (range 1.5-23.0). Ten patients (37%) were experiencing symptoms of depression as measured by the PHQ9, with six (60%) reporting moderate-to-severe symptoms. Median PHQ9 score was 3 (range 0-18). Six patients (22%) were experiencing symptoms of anxiety on the GAD7, with one (17%) reporting moderate-to-severe symptoms. Median GAD7 score was 2 (range 0-10). Eight patients (28%) reported a psychiatric history prior to the onset of AE, which was associated with increased PHQ9 scores (p = 0.04, Wilcoxon rank sum test). Conclusions The prevalence of self-reported depressive and anxious symptoms in this cohort in remission from AE was similar to general populations. Patients with a psychiatric history that preceded onset of AE had higher PHQ9 scores. These results may be affected by censoring bias and lower sensitivity of self-reported diagnostic tools.