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.

Frailty and depressive symptoms in older kidney transplant recipients: opportunities for collaboration between transplant nephrologists and geriatricians.

BACKGROUND: Frailty is one of the key syndromes in geriatric medicine and an important factor for post-transplant outcomes. We aimed to describe the prevalence of frailty and examine the correlates of frailty and depressive symptoms in older kidney transplant recipients (KTRs). METHODS: This cross-sectional study involved 112 kidney transplant recipients (KTRs) aged 70 and above. Frailty syndrome was assessed using the Fried frailty criteria, and patients were categorized as frail, pre-frail, or non-frail based on five frailty components: muscle weakness, slow walking speed, low physical activity, self-reported exhaustion, and unintentional weight loss. Depressive symptoms were measured using the 15-item Geriatric Depression Scale (GDS). The relationship between frailty and depressive symptoms was evaluated using multinomial logistic regression, with the three frailty categories as the dependent variable and the severity of depressive symptoms as the independent variable, while controlling for age, gender, renal graft function, and time since transplant surgery. RESULTS: The participants had a mean age of 73.3 ± 3.3 years, and 49% were female. The prevalence of frailty syndrome was 25% (n = 28), pre-frailty was 46% (n = 52), and 29% (n = 32) of the KTRs were non-frail. The mean score for depressive symptoms was 3.1 ± 2.4 points, with 18% scoring above the clinical depression cutoff. Depressive symptoms were positively correlated with frailty (r = .46, p < .001). Among the frailty components, self-reported exhaustion (r = .43, p < .001), slow walking speed (r = .26, p < .01), and low physical activity (r = .44, p < .001) were significantly positively correlated with depressive symptoms, while muscle strength (p = .068) and unintentional weight loss (p = .050) were not. A multinomial logistic regression adjusted for covariates indicated that, compared to being non-frail, each additional point on the GDS increased the odds of being pre-frail by 39% (odds ratio [OR] = 1.39, 95% confidence interval [CI] 1.01-1.96) and roughly doubled the odds of being frail (OR = 2.01, 95% CI 1.39-2.89). CONCLUSION: There is a strong association between frailty and depression in KTRs aged 70 years and older. Targeted detection has opened up a new avenue for collaboration between geriatricians and transplant nephrologists.

Feasibility and Acceptability of a Mobile App-Based TEAM-CBT (Testing Empathy Assessment Methods-Cognitive Behavioral Therapy) Intervention (Feeling Good) for Depression: Secondary Data Analysis.

BACKGROUND: The Feeling Good App is an automated stand-alone digital mobile mental health tool currently undergoing beta testing with the goal of providing evidence-informed self-help lessons and exercises to help individuals reduce depressive symptoms without guidance from a mental health provider. Users work through intensive basic training (IBT) and ongoing training models that provide education regarding cognitive behavioral therapy principles from a smartphone. OBJECTIVE: The key objective of this study was to perform a nonsponsored third-party academic assessment of an industry-generated data set; this data set focused on the safety, feasibility, and accessibility of a commercial automated digital mobile mental health app that was developed to reduce feelings associated with depression. METHODS: The Feeling Good App development team created a waitlist cohort crossover design and measured symptoms of depression and anxiety using the Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, and an app-specific measure of negative feelings called the 7 Dimension Emotion Slider (7-DES). The waitlist cohort crossover design divided the participants into 2 groups, where 48.6% (141/290) of the participants were given immediate access to the apps, while 51.4% (149/290) were placed on a 2-week waitlist before being given access to the app. Data collected by the Feeling Good App development team were deidentified and provided to the authors of this paper for analysis through a nonsponsored university data use agreement. All quantitative data were analyzed using SPSS Statistics (version 28.0; IBM Corp). Descriptive statistics were calculated for demographic variables. Feasibility and acceptability were descriptively assessed. All participants included in the quantitative data were given access to the Feeling Good App; this study did not include a control group. RESULTS: In terms of safety, there was no statistically significant change in suicidality from preintervention to postintervention time points (t288=0.0; P>.99), and there was a statistically significant decrease in hopelessness from preintervention to postintervention time points (F289=30.16; P<.01). In terms of acceptability, 72.2% (166/230) of the users who started the initial 2-day IBT went on to complete it, while 34.8% (80/230) of the users who started IBT completed the entirety of the apps' 4-week protocol (150/230, 65.22% dropout rate over 4 weeks). CONCLUSIONS: This study is the first reported proof-of-concept evaluation of the Feeling Good App in terms of safety, feasibility, and statistical trends within the data set. It demonstrates a feasible and novel approach to industry and academic collaboration in the process of developing a digital mental health technology translated from an existing evidence-informed treatment. The results support the prototype app as safe for a select nonclinical population. The app had acceptable levels of engagement and dropouts throughout the intervention. Those who stay engaged showed reductions in symptom severity of depression warranting further investigation of the app's efficacy.

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.

Profiles of centenarians' functioning: linking functional and cognitive capacity with depressive symptoms.

BACKGROUND: Despite most centenarians facing age-related declines in functional and cognitive capacities, the severity of these declines varies among individuals, as does the maintenance of good mental health (e.g., depressive symptoms) despite these declines. This study aims to examine this heterogeneity in centenarians from the Second Heidelberg Centenarian Study, which collected data from 112 centenarians living in Germany. In our study, we focus on a subsample of 73 centenarians who provided self-reports for our measures of interest (M age = 100.4, SD age = 0.55). METHODS: We examined correlations between functional capacity (i.e., PADL, IADL), cognitive capacity (i.e., MMSE), and depressive symptoms (i.e., GDS), and the existence of different profiles using hierarchical clustering. RESULTS: Higher functional capacity was related to higher cognitive capacity and to fewer depressive symptoms. Yet, higher cognitive capacity was associated with more depressive symptoms. Hierarchical clustering analysis elucidated this contradiction by identifying three profiles: low-capacity individuals (i.e., 24 individuals had low functional and cognitive capacities, with low depressive symptoms), high-capacity individuals (i.e., 33 individuals with high functional and cognitive capacities, with low depressive symptoms), and low-functional-high-cognitive-capacity individuals (i.e., 16 individuals showed low functional but high cognitive capacity, with high depressive symptoms). Our post-hoc analyses highlighted arthritis and pain as risk factors for functional dependence and depression. CONCLUSIONS: Our findings emphasize the importance of identifying centenarian subgroups with specific resource- and risk profiles to better address their needs, and of treating pain to improve functional capacity and mental health in centenarians.

Validation and optimal cut-off score of the World Health Organization Well-being Index (WHO-5) as a screening tool for depression among patients with schizophrenia.

BACKGROUND: The utility of the World Health Organization Wellbeing Index (WHO-5) as rapid screening tool for depression has not yet been researched in the context of schizophrenia. The goals of this study were twofold: (1) to test the psychometric properties of the WHO-5 in a sample of Arabic-speaking patients with schizophrenia from Lebanon, with particular emphasis on validating the WHO-5 as a screening tool for wellbeing and depression in patients with schizophrenia; and (2) to determine the optimal cut-off point to identify schizophrenia patients with depression. METHODS: Chronic, remitted patients with schizophrenia took part in this cross-sectional study between August and October 2023 (n = 117; mean age of 57.86 ± 10.88 years and 63.3% males). The Calgary Depression Scale for Schizophrenia (CDSS) was included as index of validity. For the validation of the WHO-5 scale, we performed a confirmatory factor analysis (CFA) using the original structure of the scale. To assess the discriminatory validity of the Arabic version of the WHO-5 as a screening tool for depression, we conducted a Receiver operating characteristic (ROC) curve analysis, taking the WHO-5 reversed score against the dichotomized CDSS score at a cut off value of 6. RESULTS: The results of CFA supported the originally proposed unidimensional structure of the measure, with good internal consistency reliability (α = 0.80), concurrent validity, and cross-sex measurement invariance. The WHO-5 showed a sensitivity of 0.8 and a specificity of 0.7 in the detection of depression with a cut-off point of 9.5. The validity of the WHO-5 as a screening tool for depression was supported by the excellent discrimination AUC value of 0.838. Based on this WHO-5 cut-off value, 42.6% of the patients were screened as having a depression. CONCLUSION: The study contributes to the field by showing that the WHO-5 is a concise and convenient self-report measure for quickly screening and monitoring depressive symptoms in patients with schizophrenia. It is therefore highly recommended to apply this cut-off point for screening and follow-up assessments. The current findings will hopefully encourage clinicians and researchers working in Arab settings, who are often confronted with significant time and resource constraints, to start using the WHO-5 to aid their efforts in mitigating depression in this vulnerable population and fostering research in this under-researched area.

A novel machine learning-based prediction method for patients at risk of developing depressive symptoms using a small data.

The prediction of depression is a crucial area of research which makes it one of the top priorities in mental health research as it enables early intervention and can lead to higher success rates in treatment. Self-reported feelings by patients represent a valuable biomarker for predicting depression as they can be expressed in a lower-dimensional network form, offering an advantage in visualizing the interactive characteristics of depression-related feelings. Furthermore, the network form of data expresses high-dimensional data in a compact form, making the data easy to use as input for the machine learning processes. In this study, we applied the graph convolutional network (GCN) algorithm, an effective machine learning tool for handling network data, to predict depression-prone patients using the network form of self-reported log data as the input. We took a data augmentation step to expand the initially small dataset and fed the resulting data into the GCN algorithm, which achieved a high level of accuracy from 86-97% and an F1 (harmonic mean of precision and recall) score of 0.83-0.94 through three experimental cases. In these cases, the ratio of depressive cases varied, and high accuracy and F1 scores were observed in all three cases. This study not only demonstrates the potential for predicting depression-prone patients using self-reported logs as a biomarker in advance, but also shows promise in handling small data sets in the prediction, which is critical given the challenge of obtaining large datasets for biomarker research. The combination of self-reported logs and the GCN algorithm is a promising approach for predicting depression and warrants further investigation.

Asynchronous Versus Synchronous Screening for Depression and Suicidality in a Primary Health Care System: Quality Improvement Study.

Background: Despite being a debilitating, costly, and potentially life-threatening condition, depression is often underdiagnosed and undertreated. Previsit Patient Health Questionnaire-9 (PHQ-9) may help primary care health systems identify symptoms of severe depression and prevent suicide through early intervention. Little is known about the impact of previsit web-based PHQ-9 on patient care and safety. Objective: We aimed to investigate differences among patient characteristics and provider clinical responses for patients who complete a web-based (asynchronous) versus in-clinic (synchronous) PHQ-9. Methods: This quality improvement study was conducted at 33 clinic sites across 2 health systems in Northern California from November 1, 2020, to May 31, 2021, and evaluated 1683 (0.9% of total PHQs completed) records of patients endorsing thoughts that they would be better off dead or of self-harm (question 9 in the PHQ-9) following the implementation of a depression screening program that included automated electronic previsit PHQ-9 distribution. Patient demographics and providers' clinical response (suicide risk assessment, triage nurse connection, medication management, electronic consultation with psychiatrist, and referral to social worker or psychiatrist) were compared for patients with asynchronous versus synchronous PHQ-9 completion. Results: Of the 1683 patients (female: n=1071, 63.7%; non-Hispanic: n=1293, 76.8%; White: n=831, 49.4%), Hispanic and Latino patients were 40% less likely to complete a PHQ-9 asynchronously (odds ratio [OR] 0.6, 95% CI 0.45-0.8; P<.001). Patients with Medicare insurance were 36% (OR 0.64, 95% CI 0.51-0.79) less likely to complete a PHQ-9 asynchronously than patients with private insurance. Those with moderate to severe depression were 1.61 times more likely (95% CI 1.21-2.15; P=.001) to complete a PHQ-9 asynchronously than those with no or mild symptoms. Patients who completed a PHQ-9 asynchronously were twice as likely to complete a Columbia-Suicide Severity Rating Scale (OR 2.41, 95% CI 1.89-3.06; P<.001) and 77% less likely to receive a referral to psychiatry (OR 0.23, 95% CI 0.16-0.34; P<.001). Those who endorsed question 9 "more than half the days" (OR 1.62, 95% CI 1.06-2.48) and "nearly every day" (OR 2.38, 95% CI 1.38-4.12) were more likely to receive a referral to psychiatry than those who endorsed question 9 "several days" (P=.002). Conclusions: Shifting depression screening from in-clinic to previsit led to a dramatic increase in PHQ-9 completion without sacrificing patient safety. Asynchronous PHQ-9 can decrease workload on frontline clinical team members, increase patient self-reporting, and elicit more intentional clinical responses from providers. Observed disparities will inform future improvement efforts.

Subacute sclerosing panencephalitis presenting as severe depression in an adult.

Subacute sclerosing panencephalitis (SSPE) is a fatal disorder that occurs as a rare complication of childhood measles. Symptoms typically manifest between the ages of 5 and 15. While the incidence of SSPE is declining globally, it is still prevalent in regions where measles remains common and vaccination rates are low due to poverty and lack of health education. Diagnosing SSPE can be challenging, particularly when patients exhibit unusual symptoms. A thorough clinical evaluation, including vaccination history, physical examination, electroencephalogram (EEG) and Cerebrospinal fluid (CSF) analysis, can help in making a diagnosis. We present the case of a young woman in her early 20s who initially experienced depressive symptoms, followed by myoclonus, dementia and visual impairment. The patient was ultimately diagnosed with SSPE based on characteristic EEG findings, neuroimaging results, CSF analysis and elevated serum measles antibody levels.

The association of depressive symptoms with handgrip strength and gait speed in community-dwelling older adults: data from the baseline phase of Birjand Longitudinal Aging Study.

BACKGROUND: Depression is a multifaceted condition with a high prevalence and burden to society. Handgrip strength (HGS) and gait speed (GS) are indices of physical health, which is linked to mental health. Previous studies have shown heterogeneity among countries in the association of physical parameters and depression. In this study, we aimed to investigate the association of HGS and GS with depressive symptoms in older adults. METHODS: This is a cross-sectional study analyzing data from the Birjand Longitudinal Aging Study, a cohort of community-dwelling older adults (≥ 60 years old). Depressive symptoms were assessed by the nine-item Patient Health Questionnaire. HGS was measured with a hand dynamometer in a sitting position, and GS was estimated by a 15-foot walk test at usual pace. RESULTS: Compared to participants in the first quartile, those in the second quartile of HGS had significantly lower odds of suffering from depressive symptoms, while GS was not significantly associated with depressive symptoms. A higher HGS was associated with a lower risk of moderate depressive symptoms, while a higher GS was related to a lower risk of moderately severe and severe symptoms. CONCLUSIONS: Our findings suggest that older people residing in Birjand, Iran with a moderate HGS are less likely to suffer from depressive symptoms than those with lower HGS.

Prevalence of depression and associated symptoms among patients attending primary healthcare facilities: a cross-sectional study in Nepal.

BACKGROUND: Depression is a prevalent mental health condition worldwide but there is limited data on its presentation and associated symptoms in primary care settings in low- and middle-income countries like Nepal. This study aims to assess the prevalence of depression, its hallmark and other associated symptoms that meet the Diagnostic and Statistical Manual (DSM-5) criteria in primary healthcare facilities in Nepal. The collected information will be used to determine the content of a mobile app-based clinical guidelines for better detection and management of depression in primary care. METHODS: A total of 1,897 adult patients aged 18-91 (63.1% women) attending ten primary healthcare facilities in Jhapa, a district in eastern Nepal, were recruited for the study between August 2, 2021, and March 25, 2022. Trained research assistants conducted face-to-face interviews in private spaces before the consultation with healthcare providers. Depression symptoms, including hallmark symptoms, was assessed using the validated Nepali version of the Patient Health Questionnaire (PHQ-9). RESULTS: One in seven (14.5%) individuals attending primary health care facilities in Jhapa met the threshold for depression based on a validated cut-off score ( > = 10) on the PHQ-9. The most commonly reported depressive symptoms were loss of energy and sleep difficulties. Approximately 25.4% of women and 18.9% of men endorsed at least one of the two hallmark symptoms on the PHQ-9. Using a DSM-5 algorithm (at least one hallmark symptom and five or more total symptoms) to score the PHQ-9, 6.3% of women and 4.3% of men met the criteria for depression. The intra-class correlation coefficient for PHQ-9 total scores by health facility as the unit of clustering was 0.01 (95% confidence interval, 0.00-0.04). CONCLUSION: Depression symptoms are common among people attending primary healthcare facilities in Nepal. However, the most common symptoms are not the two hallmark criteria. Use of total scores on a screening tool such as the PHQ-9 risks overestimating the prevalence and generating false positive diagnoses. Compared to using cut off scores on screening tools, training health workers to first screen for hallmark criteria may increase the accuracy of identification and lead to better allocation of treatment resources.

Reliability and validity of the short version of the childhood abuse self report scale in Chinese college students.

BACKGROUND: The reliability and validity of the current scale for measuring childhood abuse in China are worrying. The development of the Short Version of the Childhood Abuse Self Report Scale (CASRS-12) helps to change this situation, but the effectiveness of the tool has not yet been tested in Chinese participants. This study aims to test the reliability and validity of the CASRS­12 in Chinese college students. METHODS: A total of 932 college students were investigated, of whom 418 were investigated for the first time, and only the CASRS­12 was filled out. In the second survey, 514 participants filled out the CASRS­12, Depression Scale, Self-esteem Scale and Subjective Well-being Scale in turn. After 4 weeks, 109 participants were selected for retest. RESULTS: Each item of the CASRS­12 had good discrimination. Exploratory factor analysis and confirmatory factor analysis (χ2/df = 4. 18, RMSEA = 0. 079, CFI = 0. 95, TLI = 0. 94, IFI = 0. 95, NFI = 0. 94) all supported the four-factor structure of the scale, and the cumulative contribution rate of variance was 76.05%. Cronbach's α coefficient and retest reliability were 0.86 and 0.65, respectively. Childhood abuse was positively correlated with depression (r = 0. 42, p < 0.01), and negatively correlated with self-esteem (r=-0. 33, p < 0.01) and subjective well-being (r=-0. 32, p < 0.01). CONCLUSION: The Chinese version of CASRS­12 meets the measurement standard and could be used to measure the level of childhood abuse of Chinese college students.

A qualitative study on the adaptation of community programmes for the promotion of early detection and health-seeking of perinatal depression in Nepal.

BACKGROUND: Despite the high burden of perinatal depression in Nepal, the detection rate is low. Community-based strategies such as sensitization programmes and the Community Informant Detection Tool (CIDT) have been found to be effective in raising awareness and thus promoting the identification of mental health problems. This study aims to adapt these community strategies for perinatal depression in the Nepalese context. METHODS: We followed a four-step process to adapt the existing community sensitization program manual and CIDT. Step 1 included in-depth interviews with women identified with perinatal depression (n=36), and focus group discussions were conducted with health workers trained in community mental health (n=13), female community health volunteers (FCHVs), cadre of Nepal government for the prevention and promotion of community maternal and child health (n=16), and psychosocial counsellors (n=5). We explored idioms and understanding of depression, perceived causes, and possible intervention. Step 2 included draft preparation based on the qualitative study. Step 3 included a one-day workshop with the psychosocial counsellors (n=2) and health workers (n=12) to assess the understandability and comprehensiveness of the draft and to refine the content. A review of the CIDT and community sensitization program manual by a psychiatrist was performed in Step 4. RESULTS: The first step led to the content development for the CIDT and community sensitization manual. Multiple stakeholders and experts reviewed and refined the content from the second to fourth steps. Idioms of depression and commonly cited risk factors were incorporated in the CIDT. Additionally, myths of perinatal depression and the importance of the role of family were added to the community sensitization manual. CONCLUSION: Both the CIDT and community sensitization manual are grounded in the local context and are simple, clear, and easy to understand.

Exploring prenatal depression and postpartum depression: Findings from a prospective cohort study at University Hospital Obstetrics in Damascus.

The perinatal period is crucial for both mother and newborn, and mental health, including prenatal and postpartum depression (PPD), is a significant aspect. Screening for these disorders allows for early treatment and helps prevent risks to both mother and child. This prospective cohort study was carried out at University Hospital Obstetrics in Damascus City. The first phase was during the third trimester of pregnancy and the second phase involved a follow-up assessment after 6 weeks of delivery. The Arabic-validated version of the Edinburgh Postnatal Depression Scale questionnaire (EPDS) was used. A cutoff of 13 or higher was used to determine the presence of probable depression in both assessments. Of 347 pregnant women, 38.6% had prenatal depression (PND). 295 patients have achieved the second assessment, of which 30.2% had PPD. Furthermore, 42.6% who had PND developed PPD on follow-up. Binary logistic regression indicated that PND was predicted by non-Syrian nationality, paternal absence, poor financial status, number of previous pregnancies, and a history of depression independent of pregnancy. PPD was predicted by a history of PPD, and work status. Findings underscore potential value of early screening for depressive symptoms as a predictive measure. It is recommended that women with a history of depression receive heightened attention and care, irrespective of the timing of their depressive episodes.

Investigating Rhythmicity in App Usage to Predict Depressive Symptoms: Protocol for Personalized Framework Development and Validation Through a Countrywide Study.

BACKGROUND: Understanding a student's depressive symptoms could facilitate significantly more precise diagnosis and treatment. However, few studies have focused on depressive symptom prediction through unobtrusive systems, and these studies are limited by small sample sizes, low performance, and the requirement for higher resources. In addition, research has not explored whether statistically significant rhythms based on different app usage behavioral markers (eg, app usage sessions) exist that could be useful in finding subtle differences to predict with higher accuracy like the models based on rhythms of physiological data. OBJECTIVE: The main objective of this study is to explore whether there exist statistically significant rhythms in resource-insensitive app usage behavioral markers and predict depressive symptoms through these marker-based rhythmic features. Another objective of this study is to understand whether there is a potential link between rhythmic features and depressive symptoms. METHODS: Through a countrywide study, we collected 2952 students' raw app usage behavioral data and responses to the 9 depressive symptoms in the 9-item Patient Health Questionnaire (PHQ-9). The behavioral data were retrieved through our developed app, which was previously used in our pilot studies in Bangladesh on different research problems. To explore whether there is a rhythm based on app usage data, we will conduct a zero-amplitude test. In addition, we will develop a cosinor model for each participant to extract rhythmic parameters (eg, acrophase). In addition, to obtain a comprehensive picture of the rhythms, we will explore nonparametric rhythmic features (eg, interdaily stability). Furthermore, we will conduct regression analysis to understand the association of rhythmic features with depressive symptoms. Finally, we will develop a personalized multitask learning (MTL) framework to predict symptoms through rhythmic features. RESULTS: After applying inclusion criteria (eg, having app usage data of at least 2 days to explore rhythmicity), we kept the data of 2902 (98.31%) students for analysis, with 24.48 million app usage events, and 7 days' app usage of 2849 (98.17%) students. The students are from all 8 divisions of Bangladesh, both public and private universities (19 different universities and 52 different departments). We are analyzing the data and will publish the findings in a peer-reviewed publication. CONCLUSIONS: Having an in-depth understanding of app usage rhythms and their connection with depressive symptoms through a countrywide study can significantly help health care professionals and researchers better understand depressed students and may create possibilities for using app usage-based rhythms for intervention. In addition, the MTL framework based on app usage rhythmic features may more accurately predict depressive symptoms due to the rhythms' capability to find subtle differences. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/51540.

Prevalence of Diagnosed and Undiagnosed Depression Among US Adults with Human Immunodeficiency Virus: Data from the Medical Monitoring Project.

People with human immunodeficiency virus (PWH) are disproportionately affected by depression, but the recent national estimates for US PWH encompassing both current symptoms and clinical diagnoses to assess missed diagnoses and lack of symptom remission are lacking. We used data from CDC's Medical Monitoring Project (MMP) to report nationally representative estimates of diagnosed and undiagnosed depression among US adult PWH. During June 2021 to May 2022, MMP collected interview data on symptoms consistent with major or other depression and depression diagnoses from medical records of 3928 PWH. We report weighted percentages and prevalence ratios (PRs) to quantify differences between groups on key social and health factors. Overall, 34% of PWH experienced any depression (diagnosis or Patient Health Questionnaire-8); of these, 26% had symptoms but no diagnosis (undiagnosed depression), 19% had both diagnosis and symptoms, and 55% had a diagnosis without symptoms. Among those with depression, persons with a disability (PR: 1.52) and food insecurity (PR: 1.67) were more likely to be undiagnosed. Unemployed persons (PR: 1.62), those experiencing a disability (PR: 2.78), food insecurity (PR: 1.46), or discrimination in human immunodeficiency virus (HIV) care (PR: 1.71) were more likely to have diagnosed depression with symptoms. Those with symptoms (undiagnosed or diagnosed) were less likely to be antiretroviral therapy (ART) dose adherent (PR: 0.88; PR: 0.73) or have sustained viral suppression (PR: 0.62; PR: 0.91) and were more likely to have unmet needs for mental health services (PR: 2.38, PR: 2.03). One-third of PWH experienced depression, of whom nearly half were undiagnosed or still experiencing clinically relevant symptoms. Expanding screening and effective treatment for depression could improve quality of life and HIV outcomes.

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.

Thrombolysis treatment protected impairment of functional ability, quality of life and fatigue seven years after stroke.

OBJECTIVES: We studied quality of life, functional outcome, depression, and fatigue of ischemic stroke patients treated with or without thrombolysis seven years post-stroke. MATERIALS AND METHODS: A total of 204 ischemic stroke patients treated with or without thrombolysis during 2013-2015. After seven years the 136 survivors were assessed with telephone interview, which included questions about subjective quality of life (European Quality of Life-5 Dimensions), depression, fatigue with Fatigue Severity Scale, functional ability assessed with Barthel Index and Modified Rankin Scale, living conditions, need of care, and medical aids. RESULTS: At admission patients with thrombolysis had higher National Institutes of Health Stroke Scale scores compared with those not treated with thrombolysis. At seven years post-stroke, 99% of alive patients answered the questionnaires. There were no group differences concerning functional outcome, quality of life, depression, fatigue, or insomnia. The Barthel Index was normal in both groups. The quality of life was good in both groups without group differences in any domains. Of all patients, 68% reported no problems in usual activities, and 61% were without pain. Anxiety or depression were experienced by 19% of all stroke patients, while fatigue was present in 32% of cases. CONCLUSIONS: Seven years post-stroke the quality of life was good and functional outcome remained in good level in both study groups. One third experienced fatigue, while every fifth experienced depression. The thrombolysis treatment seems to protect from decreased quality of life, fatigue, and decreased mobility, self-care, and usual activities despite more severe stroke.