Digital Phenotyping for Stress, Anxiety, and Mild Depression: Systematic Literature Review.

BACKGROUND: Unaddressed early-stage mental health issues, including stress, anxiety, and mild depression, can become a burden for individuals in the long term. Digital phenotyping involves capturing continuous behavioral data via digital smartphone devices to monitor human behavior and can potentially identify milder symptoms before they become serious. OBJECTIVE: This systematic literature review aimed to answer the following questions: (1) what is the evidence of the effectiveness of digital phenotyping using smartphones in identifying behavioral patterns related to stress, anxiety, and mild depression? and (2) in particular, which smartphone sensors are found to be effective, and what are the associated challenges? METHODS: We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) process to identify 36 papers (reporting on 40 studies) to assess the key smartphone sensors related to stress, anxiety, and mild depression. We excluded studies conducted with nonadult participants (eg, teenagers and children) and clinical populations, as well as personality measurement and phobia studies. As we focused on the effectiveness of digital phenotyping using smartphones, results related to wearable devices were excluded. RESULTS: We categorized the studies into 3 major groups based on the recruited participants: studies with students enrolled in universities, studies with adults who were unaffiliated to any particular organization, and studies with employees employed in an organization. The study length varied from 10 days to 3 years. A range of passive sensors were used in the studies, including GPS, Bluetooth, accelerometer, microphone, illuminance, gyroscope, and Wi-Fi. These were used to assess locations visited; mobility; speech patterns; phone use, such as screen checking; time spent in bed; physical activity; sleep; and aspects of social interactions, such as the number of interactions and response time. Of the 40 included studies, 31 (78%) used machine learning models for prediction; most others (n=8, 20%) used descriptive statistics. Students and adults who experienced stress, anxiety, or depression visited fewer locations, were more sedentary, had irregular sleep, and accrued increased phone use. In contrast to students and adults, less mobility was seen as positive for employees because less mobility in workplaces was associated with higher performance. Overall, travel, physical activity, sleep, social interaction, and phone use were related to stress, anxiety, and mild depression. CONCLUSIONS: This study focused on understanding whether smartphone sensors can be effectively used to detect behavioral patterns associated with stress, anxiety, and mild depression in nonclinical participants. The reviewed studies provided evidence that smartphone sensors are effective in identifying behavioral patterns associated with stress, anxiety, and mild depression.

High-definition transcranial direct current stimulation (HD-tDCS) in major depressive disorder with anxious distress-a study protocol for a double-blinded randomized sham-controlled trial.

BACKGROUND: Comorbid anxiety disorders and anxious distress are highly prevalent among individuals with major depressive disorder (MDD). The presence of the DSM-5 anxious distress specifier (ADS) has been associated with worse treatment outcomes and chronic disease course. Few studies have evaluated the therapeutic effects of High-definition transcranial direct current stimulation (HD-tDCS) on depressive and anxiety symptoms among MDD patients with ADS. The current randomized controlled trial aims to assess the efficacy of HD-tDCS as an augmentation therapy with antidepressants compared to sham-control in subjects of MDD with ADS. METHODS: MDD patients with ADS will be recruited and randomly assigned to the active HD-tDCS or sham HD-tDCS group. In both groups, patients will receive the active or sham intervention in addition to their pre-existing antidepressant therapy, for 2 weeks with 5 sessions per week, each lasting 30 min. The primary outcome measures will be the change of depressive symptoms, clinical response, and the remission rate as measured with the 17-item Hamilton Depression Rating Scale (HDRS-17) before and after the intervention and at the 2nd and 6th week after the completed intervention. Secondary outcome measures include anxiety symptoms, cognitive symptoms, disability assessment, and adverse effects. DISCUSSION: The HD-tDCS applied in this trial may have treatment effects on MDD with ADS and have minimal side effects. TRIAL REGISTRATION: The trial protocol is registered with www.chictr.org.cn under protocol registration number ChiCTR2300071726. Registered 23 May 2023.

Parenting styles and psychological effects on children with alopecia areata: exploring family dynamics, anxiety, and depression.

Alopecia areata (AA) is an autoimmune disease that develops due to inflammation and causes sudden hair loss. Ithas been observed that family circumstances may contribute to the development of AA. This study aims to assessthe relationship between the development of alopecia areata in children, family functions, and depression andanxiety levels in their parents.Thirty-nine participants diagnosed with AA and 41 healthy controls (HC), agedbetween 8 and 18 years, and their parents participated in the study. The assessment of the children included thecompletion of a socio-demographic data form, the Parenting Style Scale (PSS), and the Revised Children's Anxietyand Depression Scale (RCADS). The parents provided information on a sociodemographic form, the BeckDepression Inventory (BDI), and the Beck Anxiety Inventory (BAI). The children in the control group scoredsignificantly higher on the PSS acceptance/ involvement subscale than those with AA. In the AA group, the numberof authoritative and indulgent (PSS) families was statistically significantly lower than that of the families in the HC,and the number of neglectful families was statistically significantly higher than those of the control group. Totalanxiety and depression t scores (RCADS) were statistically significantly higher in the AA children than in theHC. Our study demonstrates the importance of considering familial factors and parental mental health tounderstand and address alopecia areata in children. Our findings support the psychosomatic component of AA.Implementing comprehensive treatment strategies that target psychological well-being and family dynamics couldprove crucial.

Scale for time and space experience in anxiety (STEA): Phenomenology and its clinical relevance.

Anxiety is a pervasive emotional state where, phenomenologically, subjects often report changes in their experience of time and space. However, a systematic and quantified examination of time and space experience in terms of a self-report scale is still missing which eventually could also be used for clinical differential diagnosis. Based on historical phenomenological literature and patients' subjective reports, we here introduce, in a first step, the Scale for Time and Space Experience of Anxiety (STEA) in a smaller sample of 19 subjects with anxiety disorders and, in a second step, validate its shorter clinical version (cSTEA) in a larger sample of 48 anxiety subjects. The main findings are (i) high convergent and divergent validity of STEA with both Beck Anxiety Inventory (BAI) (r = 0.7325; p < 0.001) and Beck Depression Inventory (BDI) (r = 0.7749; p < 0.0001), as well as with spontaneous mind wandering (MWS) (r = 0.7343; p < 0.001) and deliberate mind wandering (MWD) (r = 0.1152; p > 0.05), (ii) statistical feature selection shows 8 key items for future clinical usage (cSTEA) focusing on the experience of temporal and spatial constriction, (iii) the effects of time and space experience (i.e., for both STEA and cSTEA scores) on the level of anxiety (BAI) are mediated by the degree of spontaneous mind wandering (MWS), (iv) cSTEA allows for differentiating high levels of anxiety from the severity of comorbid depressive symptoms, and (v) significant reduction in the cSTEA scores after a therapeutic intervention (breathing therapy). Together, our study introduces a novel fully quantified and highly valid self-report instrument, the STEA, for measuring time-space experiences in anxiety. Further we develop a shorter clinical version (cSTEA) which allows assessing time space experience in a valid, quick, and simple way for diagnosis, differential diagnosis, and therapeutic monitoring of anxiety.

Childhood maltreatment exposure is differentially associated with transdiagnostic perinatal depression symptoms.

History of childhood maltreatment (CM) is common and robustly associated with prenatal and postpartum (perinatal) depression. Given perinatal depression symptom heterogeneity, a transdiagnostic approach to measurement could enhance understanding of patterns between CM and perinatal depression. METHODS: In two independently collected samples of women receiving care at perinatal psychiatry clinics (n = 523 and n = 134), we categorized longitudinal symptoms of perinatal depression, anxiety, stress, and sleep into transdiagnostic factors derived from the Research Domain Criteria and depression literatures. We split the perinatal period into four time points. We conducted a latent profile analysis of transdiagnostic factors in each period. We then used self-reported history of CM (total exposure and subtypes of abuse and neglect) to predict class membership. RESULTS: A three-class solution best fit our data. In relation to positive adaptive functioning, one class had relatively more positive symptoms (high adaptive), one class had average values (middle adaptive), and one class had fewer adaptive symptoms (low adaptive). More total CM and specific subtypes associated with threat/abuse increased an individual's likelihood of being in the Low Adaptive class in both samples (ORs: 0.90-0.97, p < .05). LIMITATIONS: Generalizability of our results was curtailed by 1) limited racial/ethnic diversity and 2) missing data. CONCLUSIONS: Our results support taking a person-centered approach to characterize the relationship between perinatal depression and childhood maltreatment. Given evidence that increased exposure to childhood maltreatment is associated with worse overall symptoms, providers should consider incorporating preventative, transdiagnostic interventions for perinatal distress in individuals with a history of childhood maltreatment.

Development and initial validation of an open-access online Behavioral Avoidance Test (BAT) for spider fear.

The behavioral avoidance test (BAT) is a well-known diagnostic tool assessing fear by directly measuring avoidance behavior. For instance, in spider phobia, participants or patients gradually approach a live spider until they feel too uncomfortable to continue. However, the use of different BAT protocols in various studies hampers the comparability of results. Moreover, conducting the test requires considerable preparation by researchers and clinicians. Thus, we have developed an open-access online BAT (vBATon). We validated its efficacy in measuring avoidance behavior and eliciting feelings of anxiety and disgust by comparing it to a real-life BAT (rl-BAT). Spider-fearful (N = 31) and nonfearful (N = 31) individuals completed a rl-BAT and vBATon on two separate dates within a 1-week interval. As expected, both tests successfully distinguished between spider-fearful and nonfearful individuals. Crucially, equivalence tests confirmed that vBATon captures avoidance behavior, anxiety, and disgust equal to the rl-BAT. Assessing validity, we found moderate to high correlations between vBATon and (a) the rl-BAT and (b) self-report measurements of spider fear (Spider Phobia Questionnaire, Fear of Spiders Questionnaire). Overall, our study displayed initial evidence of validity of vBATon and suggests that it is a standardized, efficient, and user-friendly alternative to rl-BATs for measuring spider fear. It can be utilized in both research and clinical practice. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The association of symptomatic vitreous floaters with depression and anxiety.

PURPOSE: To evaluate the levels of anxiety and depression in patients with symptomatic vitreous floaters and to determine the possible correlations of psychological implications with the symptoms duration and possible improvement, the degree of posterior vitreous detachment, and the discomfort severity. METHODS: Ninety patients complaining for floaters and fifty-seven age- and gender-matched healthy-control subjects were recruited. Every participant underwent a complete ophthalmological examination, including funduscopy and optical coherence tomography scans, while clinical and demographic data were also gathered. The Patient Health Questionnaire-9 (PHQ-9), the Zung Depression Inventory-Self-Rating Depression Scale (Zung SDS), and the Hospital Anxiety and Depression Scale (HADS) were completed by everyone. RESULTS: Between the studied groups, no significant differences were detected regarding the clinical and demographic data (p > 0.05). The patients with floaters had significantly higher scores of PHQ-9, Zung SDS, HADS Anxiety, and HADS Depression (p < 0.001). After adjustment for several confounders, PHQ-9 (p = 0.041), Zung SDS (p = 0.003), and HADS Anxiety (p = 0.036) values remained significantly impaired. Among the patients, PHQ-9 and Zung SDS scores were significantly elevated in the patients with floaters duration less than 4 weeks (p < 0.05). Finally, anxiety and depression were significantly correlated with the symptoms duration and intensity, with the floater-associated discomfort, and with the stage of posterior vitreous detachment. CONCLUSION: Vitreous floaters have a negative impact on patients' psychological status, by the terms of enhanced depressive and anxiety levels. To the best of our knowledge, our study is the first in the literature to elaborate the aforementioned association, by assessing three different questionnaires simultaneously.

Reliability, Validity, Modification and Expansion of the Chinese Version of the Disease-Specific Anxiety Questionnaire for Chronic Obstructive Pulmonary Disease.

Purpose: To translate a disease-specific anxiety questionnaire on chronic obstructive pulmonary disease (COPD) and test its reliability and validity in China. Patients and Methods: The German version of the revised COPD Anxiety Questionnaire (CAF-R) was initially validated using step-by-step translation, back-translation, and cross-cultural adaptation. The reliability and validity of the Chinese version of the CAF-R (CAF-R-CN) were tested among 448 patients with COPD (mean age =71.42±9.33 years, 17.2% female) from four medical institutions in Suzhou, Jiangsu Province, using convenience sampling, from April 2022 to June 2023. Results: The CAF-R-CN included six dimensions with a total of 25 items. The item-level content validity index was 0.860-1.000; the scale-level content validity index was 0.920. The structural validity χ2/df was 2.326, the root mean square error of approximation was 0.077, the comparative fit index was 0.924, and the Tucker-Lewis index was 0.912. The six-dimensional internal consistency index Cronbach's α coefficient was 0.696-0.910, and the test-retest reliability was 0.949. An optimal cut-off score of 50.5 was selected with a sensitivity of 0.786 and specificity of 0.870. Conclusion: The CAF-R-CN had satisfactory reliability and validity and can be used to identify and assess anxiety in COPD patients with a Chinese cultural background.

The evaluation of depression and anxiety levels of mothers of patients with periodic fever, aphthous stomatitis, pharyngitis, and adenitis syndrome and familial Mediterranean fever.

OBJECTIVE: Periodic fever, aphthous stomatitis, pharyngitis and adenitis (PFAPA) syndrome and familial Mediterranean fever (FMF) are autoinflammatory disorders typically characterized by recurrent fever attacks. These recurrent fever attacks can lead to depression and anxiety in mothers of these patients. This study aimed to compare the depression and anxiety levels in mothers of PFAPA and FMF patients. METHODS: This study is a cross-sectional observational study. 48 mothers of children with FMF and 70 mothers of children with PFAPA participated in the study. Mothers in these two groups were compared in terms of anxiety and depression by using the validated Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI). RESULTS: Depression and anxiety scores of mothers were found to be similar in FMF and PFAPA groups. Moderate or high level of anxiety was seen in 32% of mothers of patients with PFAPA and 27% of mothers of patients with FMF. 23% of mothers of patients with PFAPA were evaluated as having moderate or severe depression, and 18% of mothers of patients with FMF were evaluated as having moderate depression. There was no statistically significant difference between the duration, frequency of attacks, recurrent hospitalizations, sociodemographic characteristics, and inventory scores. CONCLUSION: Depression and anxiety scores of mothers with children diagnosed with FMF and PFAPA are similar. These two diseases affect families psychosocially at similar levels. It is important to provide psychosocial support to families.

The impact of anxiety on gait impairments in Parkinson's disease: insights from sensor-based gait analysis.

BACKGROUND: Sensor-based gait analysis provides a robust quantitative tool for assessing gait impairments and their associated factors in Parkinson's disease (PD). Anxiety is observed to interfere with gait clinically, but this has been poorly investigated. Our purpose is to utilize gait analysis to uncover the effect of anxiety on gait in patients with PD. METHODS: We enrolled 38 and 106 PD patients with and without anxiety, respectively. Gait parameters were quantitively examined and compared between two groups both in single-task (ST) and dual-task (DT) walking tests. Multiple linear regression was applied to evaluate whether anxiety independently contributed to gait impairments. RESULTS: During ST, PD patients with anxiety presented significantly shorter stride length, lower gait velocity, longer stride time and stance time, longer stance phase, smaller toe-off (TO) and heel-strike (HS) angles than those without anxiety. While under DT status, the differences were diminished. Multiple linear regression analysis demonstrated that anxiety was an independent factor to a serials of gait parameters, particularly ST-TO (B = -2.599, (-4.82, -0.38)), ST-HS (B = -2.532, (-4.71, -0.35)), ST-TO-CV (B = 4.627, (1.71, 7.64)), ST-HS-CV(B = 4.597, (1.66, 7.53)), ST stance phase (B = 1.4, (0.22, 2.58)), and DT stance phase (B = 1.749, (0.56, 2.94)). CONCLUSION: Our study discovered that anxiety has a significant impact on gait impairments in PD patients, especially exacerbating shuffling steps and prolonging stance phase. These findings highlight the importance of addressing anxiety in PD precision therapy to achieve better treatment outcomes.

Application and value of anxiety and depression scale in patients with functional dyspepsia.

BACKGROUND: Patients with functional dyspepsia (FD) cannot be assessed for their mental health using a suitable and practical measure. The purpose of the study is to investigate the usefulness of several anxiety and depression scales in patients with FD, offering recommendations for clinical identification and therapy. METHODS: From September 2021 to September 2022, patients were sought and selected. The psychological symptoms were assessed using ten depression or anxiety questionnaires. The receiver operating characteristic (ROC) curve, Spearman analysis, Pearson correlation analysis, and single factor analysis were applied. RESULTS: Prospective analysis was performed on 142 healthy individuals and 113 patients with FD. In the case group, anxiety and depression symptoms were more common than in the control group, and the 10 scales showed strong validity and reliability. HAMD had the strongest connection with the PHQ-9 score on the depression scale (0.83). The score correlation between SAS and HAMA on the anxiety analysis scale was the greatest at 0.77. The PHQ-9, SAS, HAMD, and HAMA measures performed exceptionally well in detecting FD with anxiety or depression symptoms (AUC = 0.72, 0.70, 0.70, 0.77, and 0.77, respectively). CONCLUSIONS: PHQ-9, SAS, HAMD, and HAMA scales have good application performance in FD patients. They can assist gastroenterologists in evaluating anxiety and depression symptoms, and provide reference and guidance for subsequent treatment.

Psychological assessment of patients on the heart transplant waiting list: A single center experience.

OBJECTIVE: To analyze the data of the psychological assessment, focusing attention on the quality of life and the psychological status of patients who are listed for heart transplant. METHODS: All heart failure patients listed for heart transplant at the Cardiac Surgery Unit of Bari University, Italy, were evaluated from September to November 2023, by administering the Symptom Checklist-90-R (SCL-90-R) and the Short Form Health Survey 36 (SF-36). RESULTS: Overall, 27 patients were studied. Mean age was 60 years, 88% were males. One third of the patients showed a clinically significant overall mental distress. The symptoms leading to domains such as somatization (55.55%), anxiety (40.74%) and depression (33.33%) were frequently observed. The majority of the population studied (96.30%) showed low levels of perceived physical health status, while 59,62% of them presented levels of perceived physical health status below normal ranges. CONCLUSIONS: Heart transplant candidates show elements of overall mental distress and low quality of life related to physical health status.

The Brazilian version of the Inventory of Depression and Anxiety Symptoms-Expanded Version: Internal structure, invariance by sex and race, and associations with pathological personality traits.

The Inventory of Depression and Anxiety Symptoms-Expanded version (IDAS-II) is one of the few tools designed to assess internalizing symptoms based on dimensional models. We conducted two studies, the first testing internal validity aspects of the IDAS-II and the second testing the external validity of the scales. In the first study we adapted the IDAS-II to Brazilian Portuguese and tested its internal structure, including a higher order factorial solution coherent with the internalizing spectrum, the stability of the factor structure, and its measurement invariance for sex and racial groups. Participants were 2,379 Brazilian adults. In the second study, we investigated the IDAS-II scales' associations with broad pathological personality traits in Brazilian (N = 245) and North American (N = 402) samples. The results of the first study indicated that the IDAS-II scales are grouped into three first-order factors (Distress, Obsessions/Fear, and Positive Mood), replicating Wester et al. (2022) and Petre et al. (2023). Our results also suggested the plausibility of an internalizing second-order factor for the IDAS-II Brazilian version. The multigroup confirmatory factor analysis shows that this scale is invariant for males and females and for White and Black/Brown people. In the second study, the IDAS-II scales demonstrated mostly coherent associations with broad domains of pathological personality traits. Besides the internal validity of the Brazilian IDAS-II, our results also provide information about its external validity and expand its nomological network, as it is the first study reporting its associations with broad domains of pathological personality traits. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

[Features of the clinical picture of affective disorders in women during the menopausal transition and early postmenopause]. / Osobennosti klinicheskoi kartiny affektivnykh rasstroistv u zhenshchin v period menopauzal'nogo perekhoda i rannei postmenopauzy.

OBJECTIVE: To determine the clinical and psychopathological features of affective disorders in women in the perimenopausal and early postmenopausal periods. MATERIAL AND METHODS: The study included 90 female patients receiving inpatient psychiatric care for affective disorders, among them 41 patients were perimenopausal (group 1) and 49 were early postmenopausal (group 2). Clinical and psychopathological, psychometric (the Hospital Anxiety and Depression Scale - HADS, the Hamilton Depression and Anxiety Scales - HAM-D and HAM-A, the Hypomania Checklist-32 - HCL-32, the Bipolarity Index (BI), the Insomnia Severity Index - ISI, the Pittsburgh Sleep Quality Index - PSQI) and statistical methods were used. RESULTS: Symptoms of atypical (63.4%) and anxious (87.8%) depression predominated among perimenopausal patients, and melancholic depression (59.2%) prevailed in early postmenopause. Patients in group 1 had higher anxiety scores on HADS and HAM-A compared to group 2 (p=0.003 and p=0.01). At the same time, early postmenopausal women had higher depression scores on the HADS and HAM-D (p=0.001). ISI and PSQI scores in postmenopause were significantly higher than in perimenopause (p=0.001 and p=0.009). CONCLUSION: The clinical features of affective disorders as well as severity and nature of the accompanying sleep disturbances vary depending on the stage of menopause, which must be considered when prescribing additional methods for examination and treatment of these disorders.

Unraveling the distinction between depression and anxiety: A machine learning exploration of causal relationships.

OBJECTIVE: Depression and anxiety, prevalent coexisting mood disorders, pose a clinical challenge in accurate differentiation, hindering effective healthcare interventions. This research addressed this gap by employing a streamlined Symptom Checklist 90 (SCL-90) designed to minimize patient response burden. Utilizing machine learning algorithms, the study sought to construct classification models capable of distinguishing between depression and anxiety. METHODS: The study included 4262 individuals currently experiencing depression alone (n = 2998), anxiety alone (n = 716), or both depression and anxiety (n = 548). Counterfactual diagnosis was used to construct a causal network on the dataset. Employing a causal network, the SCL-90 was simplified. Items that have causality with only depression, only anxiety and both depression and anxiety were selected, and these streamlined items served as input features for four distinct machine learning algorithms, facilitating the creation of classification models for distinguishing depression and anxiety. RESULTS: Cross-validation demonstrated the performance of the classification models with the following metrics: (1) K-nearest neighbors (AUC = 0.924, Acc = 92.81 %); (2) support vector machine (AUC = 0.937, Acc = 94.38 %); (3) random forest (AUC = 0.918, Acc = 94.38 %); and (4) adaptive boosting (AUC = 0.882, Acc = 94.38 %). Notably, the support vector machine excelled, with the highest AUC and superior accuracy. CONCLUSION: Incorporating the simplified SCL-90 and machine learning presents a promising, efficient, and cost-effective tool for the precise identification of depression and anxiety.

Impression life with pulmonary hypertension: clinically relevant characteristics and quality of life among patients in Gansu, China.

BACKGROUND: The adverse effects of pulmonary arterial hypertension (PAH) on physical, emotional, and health-related quality of life (HRQoL) remain primarily unrecognized, especially in resource-limited settings. OBJECTIVES: This study aims to characterize the HRQoL of patients with PAH in this area and also identify the potential role of clinically relevant characteristics, including the 6-min walk distance test (6MWD), WHO-Functional Classification (WHO-FC), and mental health in the occurrence of lowering quality of life. DESIGN: This was a cross-sectional observational study. METHODS: Inpatients with PAH were chosen from a tertiary hospital located in Gansu province, China. All participants were interviewed face-by-face by using questionnaires, including items from the 36-Item Short Form Health Survey (SF-36), the self-rating anxiety scale, and the self-rating depression scale. Data on demographic and clinically relevant characteristics, including WHO-FC and 6MWD, were also collected by tracing medical recorders. Multiple linear regression analysis was used to determine the association between demographic, clinically relevant characteristics data, and physical component summary (PCS) or mental component summary (MCS) in SF-36. RESULTS: Of the 152 participants, SF-36 differed significantly from Chinese norms in all eight domains, with role-physical (21.55 ± 9.87) less than one-third of the norm (88.79 ± 28.49). Multiple linear regression results showed that the factors with the greatest impact on PCS were anxiety scores (ß = -0.22, p = 0.001), followed by WHO-FC (ß = -0.16, p = 0.014) and 6MWD (ß = 0.15, p = 0.036). The factors with the greatest impact on MCS were WHO-FC (ß = -0.30, p < 0.001), followed by anxiety (ß = -0.23, p = 0.001) and depression scores (ß = -0.16, p = 0.013). CONCLUSION: HRQoL was substantially reduced among PAH patients in the resource-limited area, mainly the physiological functions. WHO-FC and anxiety scores were independently associated with both PCS and MCS in SF-36. Clinicians should make reasonable rehabilitation programs and plans for patients according to their cardiac function grade and the severity of clinical symptoms. In addition, psychological interventions should also be taken, especially for those with anxiety symptoms, so as to improve their HRQoL.

Psychometric evaluation of the patient health questionnaire stress scale.

The "Patient Health Questionnaire (PHQ)" is a screening instrument, designed for time-efficient detection and severity assessment of depression, anxiety, and other syndromes in medical settings. Besides the questions on psychological symptoms, there are items on psychosocial functioning, on stressors and critical life events. However, for the stress items there are no psychometric properties available until now. The present study is thought to investigate item characteristics, internal consistency as well as factorial and construct validity of the stress scale of the PHQ. A representative sample of the general population of Germany was collected by a demography consulting company (USUMA, Berlin). Per random-route procedure, households and members of the households were selected. The sample was representative for the German community regarding age, gender, and education. In this investigation the following questionnaires were administered: PHQ-Stress, Questions on Life Satisfaction Modules (FLZ-M), Type-D Scale-14 (DS14). The sample included N = 2396 participants with mean age of 48.50 (SD = 17.75; range = 14 to 92) and 55.2 % being female. Reliability of the PHQ stress scale was acceptable (ω = 0.776), but some factor loadings were comparatively low. Model fit indices showed mixed results, some indicating unacceptable and some indicating acceptable fit of the 10-item stress scale of the PHQ. Correlations with related constructs demonstrated the scale's convergent validity. The results of this validation study indicate that the PHQ stress scale, which provides a one-dimensional total stress score, is a valid, good practical and reliable self-report instrument for assessing the severity of psychosocial stress.

Prospective prediction of anxiety onset in the Canadian longitudinal study on aging (CLSA): A machine learning study.

BACKGROUND: Anxiety disorders are among the most common mental health disorders in the middle aged and older population. Because older individuals are more likely to have multiple comorbidities or increased frailty, the impact of anxiety disorders on their overall well-being is exacerbated. Early identification of anxiety disorders using machine learning (ML) can potentially mitigate the adverse consequences associated with these disorders. METHODS: We applied ML to the data from the Canadian Longitudinal Study on Aging (CLSA) to predict the onset of anxiety disorders approximately three years in the future. We used Shapley value-based methods to determine the top factor for prediction. We also investigated whether anxiety onset can be predicted by baseline depression-related predictors alone. RESULTS: Our model was able to predict anxiety onset accurately (Area under the Receiver Operating Characteristic Curve or AUC = 0.814 ± 0.016 (mean ± standard deviation), balanced accuracy = 0.741 ± 0.016, sensitivity = 0.743 ± 0.033, and specificity = 0.738 ± 0.010). The top predictive factors included prior depression or mood disorder diagnosis, high frailty, anxious personality, and low emotional stability. Depression and mood disorders are well known comorbidity of anxiety; however a prior depression or mood disorder diagnosis could not predict anxiety onset without other factors. LIMITATION: While our findings underscore the importance of a prior depression diagnosis in predicting anxiety, they also highlight that it alone is inadequate, signifying the necessity to incorporate additional predictors for improved prediction accuracy. CONCLUSION: Our study showcases promising prospects for using machine learning to develop personalized prediction models for anxiety onset in middle-aged and older adults using easy-to-access survey data.

Association of concussion/brain injury symptoms and diagnosis with mental and social well-being in 2020 National Health Interview Survey (NHIS) children.

BACKGROUND: Population-based data regarding the associations between prior concussion or brain injury symptoms/diagnosis and mental/social well-being is lacking for U.S. children. METHODS: Associations between prior concussion or brain injury symptoms/diagnosis (reported by parents of children ages 5-17 from the 2020 National Health Interview Survey) and current mental/social well-being were determined in multivariable models. RESULTS: Amongst 2020 US children, 8.7% and 5.3% had previous symptoms and diagnosis of concussion/brain injury, respectively. 23% of children with symptoms were never checked for a concussion/brain injury, with younger children at higher risk of not getting checked after symptomatic head trauma. Prior concussion or brain injury symptoms/diagnosis was associated with a higher likelihood of current depressive symptoms (odds ratio [OR] = 1.60; 95% CI = 1.21-2.14; p < 0.001), anxiety (OR = 2.07; 95% CI = 1.52-2.82; p < 0.001), difficulty making friends (OR = 1.57; 95% = 1.06-2.33; p = 0.03), use of medications for mental/social/behavioral issues (OR = 1.69; CI = 1.21-2.36; p = 0.002), and mental health therapy/counseling (OR = 1.52; 95% CI = 1.13-2.04; p = 0.006). CONCLUSION: U.S. children with prior concussion or brain injury symptoms/diagnosis have a higher rate of mental and social disturbances and a more frequent need for mental health services. Nearly one-quarter of children with significant symptoms after head trauma are never checked for a concussion/brain injury; routine concussion evaluation after head trauma should be emphasized especially in younger children.