The validity and reliability of the PHQ-9 on screening of depression in neurology: a cross sectional study

The relationship between BMI and depression: a cross-sectional study

Introduction

Mental health problems, especially depressive symptoms, are becoming increasingly prominent, posing a significant risk to public health. Changes in the body mass index (BMI) may impact an individual's mental health, however, the relationship between BMI and depressive symptoms is unclear. The purpose of this study was to investigate the association between BMI and depressive symptoms.

Methods

Using a multi-stage sampling method, 10,686 adults in Longgang District, Shenzhen City, Guangdong Province, China, were selected for participation in this study. Surveys were distributed in 2020 and 2021 to measure participant demographic data and health. Binary logistic regression, restricted cubic spline regression, and subgroup analyses were performed to explore the relationship between BMI and depressive symptoms.

Results

The results showed a U-shaped relationship between BMI and depression. Both obesity and underweight increased the risk of depression among the participants, especially in subgroups of participants who were young, highly educated, single and employed.

Conclusion

These findings suggest that adults should try to maintain a normal body weight as a way to prevent depression and maintain their physical and mental health.

Depression in the schistosomiasis japonica population based on the PHQ-9 scale: a cross-sectional survey from Jiangxi Province, China

Depression is the second leading-cause of disability in China. Although studies have shown that more than 80% of patients with advanced schistosomiasis (AS) suffer from anxiety and depression, these study groups are all hospitalized patients with AS and do not represent the extent of the disease in the whole group. To our knowledge, there are no studies assessing the severity of depression in patients with other forms of schistosomiasis japonicum. Therefore, it is necessary to evaluate the occurrence and potential risk factors of depression in the schistosomiasis endemic population. This cross-sectional study was conducted in Jiangxi Province, where schistosomiasis is relatively common in China, as the investigation site. The Patient Health Questionnaire-9 (PHQ-9) scale was selected to assess the depressive symptoms in the study population. At the same time, basic personal information of the research subjects and relevant socio-economics and schistosomiasis endemic area indicators were collected. The survey results show that AS has the highest incidence of depression (34.35%), while non-advanced schistosomiasis (N-AS) and control group (CG) have 22.35% and 22.24% respectively; the incidence of depression in AS is significantly higher than in N-AS and CG, while there is no statistical significance in the comparison between N-AS and CG; the incidence of mild depressive symptoms accounts for 61.08%-75.54% of the total incidence of depression in different groups; multivariate analysis shows that the occurrence of moderate/severe depressive symptoms in the AS group was significantly related to above 60 years old, male, the combination of other serious diseases, personal financial difficulties, and marshland and lake endemic areas. In the N-AS group, the occurrence of moderate/severe depressive symptoms was significantly related to the combination of other serious diseases, personal financial difficulties, significant correlation between marshland and lake endemic areas and the level of control of schistosomiasis epidemics. In conclusion, depression is still relatively common among patients with schistosomiasis patients, especially those with AS. It is recommended that the government and relevant departments consider mental health care when developing prevention and control work in schistosomiasis-endemic areas, in order to effectively protect the physical and mental health of schistosomiasis patients and residents in endemic areas.

Construction and evaluation of two nomograms for screening major depressive disorder and subthreshold depression individuals based on anxiety, depression, and sleep items

BACKGROUND

Current evidence is insufficient to support specific tools for screening Major Depressive Disorder (MDD). Early detection of subthreshold depression (SD) is crucial in preventing its progression to MDD. This study aims to develop nomograms that visualize the weights of predictors to improve the performance of screening tools.

METHODS

Participants were recruited from Peking University Sixth Hospital and Beijing Physical Examination Center between October 2022 and April 2024. The Mini-International Neuropsychiatric Interview (MINI) 5.0.0 was employed as the diagnostic gold standard, and Generalized Anxiety Disorder questionnaire-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), and Pittsburgh Sleep Quality Index (PSQI) were employed to assess anxiety, depression, and sleep state. The nomograms were constructed by incorporating optimal predictors, selected through the Least Absolute Shrinkage and Selection Operator (LASSO), into a multivariate logistic regression model to estimate the probability of MDD and SD.

RESULTS

After matching age and education, 164 participants were included in each group for analysis. Both nomograms demonstrated superior discrimination, calibration, and clinical applicability compared to PHQ-9. Anxiety emerged as a most significant predictor for SD, while sleep problems exhibited high rankings for both SD and MDD. The two predictors subsequently affect concentration and daytime functioning.

LIMITATIONS

With a lack of external validation data, the performance of nomograms may be overestimated.

CONCLUSIONS

This study is the first attempt to develop a nomogram for predicting SD, while also providing a nomogram for MDD. The crucial predictors offer valuable insights into potential variables for clinical intervention.

Feasibility and acceptability of an online group dialectical behavioural therapy skills training in a Transdiagnostic group with Anxiety and Depression

Transdiagnostic approaches offers a paradigm shift in managing psychiatric disorders. Emotion regulation difficulties are a transdiagnostic prevalent across various mood and personality disorders. Dialectical Behavioural Therapy Skills Training (DBT-ST), initially designed as part of treatment for borderline personality disorder, targets emotion regulation and has shown promise in diverse psychiatric conditions. In lower middle-income countries with resource-constrained settings, online delivery of evidence-based interventions holds potential to bridge treatment gaps. This study assesses the feasibility and acceptability of online group DBT skills training for individuals with depression or anxiety disorders in India. Mental health professionals practising in India referred twenty-four eligible participants currently not engaged in psychotherapy. Of these, 18 initiated the 8-week virtual group DBT-ST program, with 12 completing it (66 % female, 18-35 years of age, 5 on concurrent medication). They provided feedback on therapy content's usefulness. Baseline, post-intervention, and one-month follow-up assessments measured changes in emotion regulation difficulties, depression, and anxiety symptoms. Treatment retained 66.7 % of participants, all participants found the intervention beneficial. Repeated measures ANOVA indicates significant reductions in self-reported difficulties in emotion regulation, depression, and anxiety symptoms post-intervention. These findings highlight the promise of transdiagnostic interventions like DBT-ST that merit further evaluations using RCTs with larger sample sizes.

Fatigue and depression at 8 weeks and 1 year after bacterial brain abscess and their relationship with cognitive status

A bacterial brain abscess (BA) is a focal brain infection with largely unknown long-term implications. This prospective study assessed the frequency of fatigue and symptoms of depression at 8 weeks and 1 year after BA and examined the relationship between fatigue, depressive symptoms, and cognitive status. Twenty BA-patients (age 17-73; 45% female) were assessed for fatigue, depression, memory, and executive functions. Fatigue rates were 40-65% at 8 weeks and 25-33% at 1 year on various fatigue questionnaires. Patient Health Questionnaire indicated symptoms of depression in 10% at the 8-week follow-up only. Relevant comorbidities and vocational outcomes were not associated with fatigue or symptoms of depression. Mean fatigue scores improved significantly between the two-time points. Greater fatigue was related to subjective problems with working memory, inhibition, self-monitoring, and emotional control and worse objective verbal memory performance. Symptoms of depression were associated with one out of two fatigue measures. We conclude that fatigue is common in the first year after BA, and higher levels of fatigue are related to more cognitive problems. Symptoms of clinical depression were rare. These findings underscore fatigue as an important consequence of BA and emphasize the necessity for targeted rehabilitation interventions.

Prevalence, determinants and care-seeking behaviour for anxiety and depression in Nepalese population: a secondary analysis of data from Nepal Demographic and Health Survey 2022

OBJECTIVE

To determine the prevalence and factors associated with anxiety and depression and the care-seeking behaviour among Nepalese population.

DESIGN AND SETTINGS

Secondary analysis of the data from nationally representative Nepal Demographic and Health Survey 2022.

PARTICIPANTS

Analysed data of 12 355 participants (7442 females and 4913 males) aged 15-49 years.

OUTCOME MEASURES

Depression and anxiety were assessed using Patient Health Questionnaire-9 (PHQ-9) and Generalised Anxiety Disorder Assessment (GAD-7) tools, respectively.

STATISTICAL ANALYSIS

We performed weighted analysis to account for the complex survey design. We presented categorical variables as frequency, per cent and 95% confidence interval (CI), whereas numerical variables were presented as median, inter-quartile range (IQR) and 95% CI. We performed univariate and multivariable logistic regression to determine factors associated with anxiety and depression, and results were presented as crude OR (COR), adjusted OR (AOR) and their 95% CI.

RESULTS

The prevalence of depression and anxiety were 4.0% (95% CI 3.5 to 4.5) and 17.7% (95% CI 16.5 to 18.9), respectively. Divorced or separated participants were found to have higher odds of developing anxiety (AOR 2.40, 95% CI 1.74 to 3.31) and depression (AOR 3.16, 95% CI 1.84 to 5.42). Among ethnic groups, Janajati had lower odds of developing anxiety (AOR 0.77, 95% CI 0.65 to 0.92) and depression (AOR 0.67, 95% CI 0.49 to 0.93) compared with Brahmin/Chhetri. Regarding disability, participants with some difficulty had higher odds of developing anxiety (AOR 1.81, 95% CI 1.56 to 2.10) and depression (AOR 1.94, 95% CI 1.51 to 2.49), and those with a lot of difficulty had higher odds of anxiety (AOR 2.09, 95% CI 1.48 to 2.96) and depression (AOR 2.04, 95% CI 1.06 to 3.90) compared with those without any disability. Among those who had symptoms of anxiety or depression, only 32.9% (95% CI 30.4 to 34.4) sought help for the conditions.

CONCLUSIONS

Marital status and disability status were positively associated with anxiety and depression, whereas Janajati ethnicity had relatively lower odds of experiencing anxiety and depression. It is essential to develop interventions and policies targeting females and divorced individuals to help reduce the burden of anxiety and depression in Nepal.

The multimorbidity association of metabolic syndrome and depression on type 2 diabetes: a general population cohort study in Southwest China

Background

Metabolic syndrome(MetS) and depression are independently associated with type 2 diabetes (T2DM) risk. However, little is known about the combined effect of MetS and depression on the risk of T2DM. The present study aims to prospectively explore the impact of MetS and depression on T2DM susceptibility among the Chinese general population.

Methods

6489 general population without T2DM adults in Southwest China were recruited from 2010 to 2012. Depression and MetS were prospectively assessed using a 9-item Patient Health Questionnaire(PHQ-9) and Guideline for the prevention and treatment of type 2 diabetes mellitus in China (2020 edition) (CDS2020) during 2016-2020, respectively. Modified Poisson regression models were conducted to estimate relative risk(RR) and 95% confidence intervals (95%CI) for independent and combined associations of MetS and depression with an incidence of T2DM.

Results

During a median follow-up of 6.6 years, 678 cases of T2DM were documented. Individuals with MetS were 1.33 times more likely to develop T2DM than those without MetS. The corresponding RR(95%CI) for depression with no depression was 1.45(1.22-1.72). Notably, compared with no MetS or depression, the multivariate-adjusted RR for a combined effect of MetS and depression on the risk of T2DM was 2.11(1.39-3.22). Moreover, an increased risk of T2DM was more apparent in those ≥ 60 years, males, and overweight.

Conclusions

Individuals with multimorbidity of MetS and depression are at a higher risk of T2DM compared with those with no MetS or depression.

The association of physical activity and sedentary behavior with depression in US adults: NHANES 2007-2018

Objectives

Depression is largely preventable, and strategies that can effectively suppress its development are imperative. We aimed to examine whether physical activity and sedentary behavior were associated with depression and explore the possible mediatory role of complete blood count in this association.

Methods

In this cross-sectional study, data were integrated from the National Health and Nutrition Examination Study (2007-2018). Depression was defined using the Patient Health Questionnaire-9. The risk for depression, expressed as odds ratio (OR) and 95% confidence interval (CI), was quantified by survey-weighted logistic regression analyses.

Results

A total of 31,204 respondents were analyzed. Significance was identified for all, except walking or bicycling per week, types of physical activity, and sedentary behavior. Per 1 standard deviation (SD) increment in metabolic equivalent of task (MET) of weekly vigorous recreational physical activity was associated with 31.3% decreased depression risk (adjusted OR: 0.687, 95% CI: 0.5663-0.840). Per 1 SD increment in sitting time can increase depression risk by 22.4% (adjusted OR: 1.224, 95% CI: 1.131-1.325). In subsidiary analyses, the association with depression was reinforced in respondents aged ≤65 years and those overweight or obese. Mediation analyses revealed significant effects for red blood cell (RBC) on total MET (19.4%) and moderate work-related physical activity (MWPA) (22.0%), and for red cell distribution wide (RCDW) on vigorous work-related physical activity (17.7%), moderate work-related physical activity (13.1%), total MET (11.2%), and sitting time (16.4%) (p < 0.01).

Conclusion

Our findings indicate that more physical activity and less sitting time were associated with a lower likelihood of having depression among US adults, and this association was probably mediated by RBC and RCDW.

Anxiety and depression in patients with non-site-specific cancer symptoms: data from a rapid diagnostic clinic

Background

Rapid diagnostic clinics (RDCs) provide a streamlined holistic pathway for patients presenting with non-site specific (NSS) symptoms concerning of malignancy. The current study aimed to: 1) assess the prevalence of anxiety and depression, and 2) identify a combination of patient characteristics and symptoms associated with severe anxiety and depression at Guy's and St Thomas' Foundation Trust (GSTT) RDC in Southeast London. Additionally, we compared standard statistical methods with machine learning algorithms for predicting severe anxiety and depression.

Methods

Patients seen at GSTT RDC between June 2019 and January 2023 completed the General Anxiety Disorder Questionnaire (GAD-7) and Patient Health Questionnaire (PHQ-8) questionnaires, at baseline. We used logistic regression (LR) and 2 machine learning (ML) algorithms (random forest (RF), support vector machine (SVM)) to predict risk of severe anxiety and severe depression. The models were constructed using a set of sociodemographic and clinical variables.

Results

A total of 1734 patients completed GAD-7 and PHQ-8 questionnaires. Of these, the mean age was 59 years (Standard Deviation: 15.5), and 61.5% (n:1067) were female. Prevalence of severe anxiety (GAD-7 score ≥15) was 13.8% and severe depression (PHQ-8 score≥20) was 9.3%. LR showed that a combination of previous mental health condition (PMH, Adjusted Odds Rario (AOR) 3.28; 95% confidence interval (CI) 2.36-4.56), symptom duration >6 months (AOR 2.20; 95%CI 1.28-3.77), weight loss (AOR 1.88; 95% CI 1.36-2.61), progressive pain (AOR 1.71; 95%CI 1.26-2.32), and fatigue (AOR 1.36; 95%CI 1.01-1.84), was positively associated with severe anxiety. Likewise, a combination PMH condition (AOR 3.95; 95%CI 2.17-5.75), fatigue (AOR 2.11; 95%CI 1.47-3.01), symptom duration >6 months (AOR 1.98; 95%CI 1.06-3.68), weight loss (AOR 1.66; 95%CI 1.13-2.44), and progressive pain (AOR 1.50; 95%CI 1.04-2.16), was positively associated with severe depression. LR and SVM had highest accuracy levels for severe anxiety (LR: 86%, SVM: 85%) and severe depression (SVM: 89%, LR: 86%).

Conclusion

High prevalence of severe anxiety and severe depression was found. PMH, fatigue, weight loss, progressive pain, and symptoms >6 months emerged as combined risk factors for both these psychological comorbidities. RDCs offer an opportunity to alleviate distress in patients with concerning symptoms by expediting diagnostic evaluations.

The moderating effect of physical activity on the relationship between neutrophil count and depressive symptoms

Variations in immune cell counts can trigger depressive symptoms, while physical activity effectively reduces the risk and severity of depressive symptoms. This study, based on the NHANES database, analyzes the relationship between neutrophil count and depressive symptoms and explores the moderating effect of physical activity on this relationship. Cross-sectional data from the NHANES database were extracted, including immune cell counts, PHQ-9 scores for self-assessment of depressive symptoms, and Global Physical Activity Questionnaire (GPAQ) scores (PA). The interrelations among physical activity, neutrophil count, and depressive symptoms were analyzed. After controlling for confounding factors, neutrophil count was found to have a significant role in identifying depressive symptoms with an odds ratio (OR) [95% Confidence Interval (CI)] = 1.13 [1.02, 1.251]; the moderating effect of physical activity on the impact of neutrophil count on depressive symptoms was statistically significant (coefficient = -0.0028, P < 0.05). Neutrophil count may be a significant factor in identifying depressive symptoms in adults. As an effective moderating factor, physical activity can mitigate the impact of neutrophil count on depressive symptoms to a certain extent.

Association between pretreatment emotional distress and immune checkpoint inhibitor response in non-small-cell lung cancer

Emotional distress (ED), commonly characterized by symptoms of depression and/or anxiety, is prevalent in patients with cancer. Preclinical studies suggest that ED can impair antitumor immune responses, but few clinical studies have explored its relationship with response to immune checkpoint inhibitors (ICIs). Here we report results from cohort 1 of the prospective observational STRESS-LUNG study, which investigated the association between ED and clinical efficacy of first-line treatment of ICIs in patients with advanced non-small-cell lung cancer. ED was assessed by Patient Health Questionnaire-9 and Generalized Anxiety Disorder 7-item scale. The study included 227 patients with 111 (48.9%) exhibiting ED who presented depression (Patient Health Questionnaire-9 score ≥5) and/or anxiety (Generalized Anxiety Disorder 7-item score ≥5) symptoms at baseline. On the primary endpoint analysis, patients with baseline ED exhibited a significantly shorter median progression-free survival compared with those without ED (7.9 months versus 15.5 months, hazard ratio 1.73, 95% confidence interval 1.23 to 2.43, P = 0.002). On the secondary endpoint analysis, ED was associated with lower objective response rate (46.8% versus 62.1%, odds ratio 0.54, P = 0.022), reduced 2-year overall survival rate of 46.5% versus 64.9% (hazard ratio for death 1.82, 95% confidence interval 1.12 to 2.97, P = 0.016) and detriments in quality of life. The exploratory analysis indicated that the ED group showed elevated blood cortisol levels, which was associated with adverse survival outcomes. This study suggests that there is an association between ED and worse clinical outcomes in patients with advanced non-small-cell lung cancer treated with ICIs, highlighting the potential significance of addressing ED in cancer management. ClinicalTrials.gov registration: NCT05477979 .

Investigating the Efficacy of a Community Support Network Rehabilitation Intervention for Improving Resiliency, Quality of Life, and Neurocognitive Function in Survivors of Intimate Partner Violence-Caused Brain Injury: Protocol for a Feasibility Study

BACKGROUND

Globally, approximately 1 in 3 women experience intimate partner violence (IPV) in their lifetime. Brain injury (BI) is a common, yet often unrecognized, consequence of IPV. BIs caused by IPV tend to be mild, occur repetitively over the course of months or years, are remote in time, and result in chronic symptoms. Similar to BI from other causes, therapeutic treatment for women with IPV-caused BI (IPV-BI) is crucial to help resolve any physical or cognitive impairments, enhance the quality of life (QoL), and minimize longer-term neurodegeneration.

OBJECTIVE

This study aims to investigate the feasibility and efficacy of a community support network (CSN) rehabilitation intervention regarding its impact on resiliency, QoL, and neurocognitive function.

METHODS

In this pre- and postexperimental design, women (aged 18 to 50 years) who are survivors of IPV and IPV-BI will be recruited from various community organizations serving survivors of IPV. Exclusion criteria will include current pregnancy and any diagnosed neurological disorder known to affect cerebrovascular, neurocognitive, or sensorimotor function. A CSN rehabilitation intervention that includes aerobic exercise, cognitive training, mindfulness meditation, and counseling will be administered. A trauma-informed approach will be integrated into the design and implementation of the program. Furthermore, the program will include a participant navigator who will provide trauma- and violence-informed advocacy and systems navigation support to participants, in addition to facilitating a monthly peer support group. The intervention will be provided for 2.5 hours a day and 2 days a week for 3 months. Participants will complete psychological assessments and provide clinic-demographic information in the first assessment. In the second (before intervention), third (after intervention), and fourth (at follow-up) sessions, they will complete tests of resiliency, QoL, and neurocognition. The estimated sample size is 100. The objective of this study will be accomplished by quantitatively measuring resiliency, QoL, and neurocognition before and immediately after the intervention. A follow-up assessment will occur 3 months after the completion of the intervention to evaluate the maintenance of any improvements in function. One-way ANOVAs will be used to evaluate the intervention outcome across the testing times. Relationships among various variables will be explored using regression analysis.

RESULTS

We anticipate that the CSN rehabilitation intervention will be effective in improving resiliency, QoL, and neurocognitive function in women who have experienced IPV-BI. Furthermore, we anticipate that this intervention will be feasible in terms of study recruitment, adherence, and retention.

CONCLUSIONS

The CSN rehabilitation intervention will have a positive impact on resiliency, QoL, and neurocognitive functions in survivors of IPV-BI. Subsequently, a comparative study will be conducted by recruiting a control group receiving usual care.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/54605.

Depressive symptom trajectories with prolonged rTMS treatment

BACKGROUND

A prolonged repetitive transcranial magnetic stimulation (rTMS) treatment course could be beneficial for some patients experiencing major depressive episodes (MDE). We identified trajectories of rTMS response in depressive patients who received an extended rTMS treatment course and sought to determine which trajectories achieved the greatest benefit with a prolonged treatment course.

METHOD

We applied group-based trajectory modeling to a naturalistic dataset of depressive patients receiving a prolonged course of sequential bilateral rTMS (up to 51 treatment sessions) to the dorsolateral prefrontal cortex. Trajectories of the PHQ-9 with extended treatment courses were characterized, and we explored the association between baseline clinical characteristics and group membership using multinomial logistic regression.

RESULTS

Among the 324 study participants, four trajectories were identified: "linear response, extended course" (N = 73; 22.5 %); "nonresponse" (N = 23; 7.1 %); "slowed response" (N = 159; 49.1 %); "rapid response, standard treatment length" (N = 69; 21.3 %). Only the "linear response, extended course" group showed considerable clinical improvement after receiving additional rTMS treatments. Greater baseline depressive symptoms were associated with linear response and non-response.

CONCLUSION

Our results confirmed the distinctive response trajectories in depressive patients receiving rTMS and further highlighted that prolonged rTMS treatment courses may be beneficial for a subset of patients with higher initial symptom levels and linear early treatment response.

Measurement of neuropsychiatric symptoms in the older adults with mild cognitive impairment based on speech and facial expressions: a cross-sectional observational study

OBJECTIVES

To examine the association between speech and facial features with depression, anxiety, and apathy in older adults with mild cognitive impairment (MCI).

METHODS

Speech and facial expressions of 319 MCI patients were digitally recorded via audio and video recording software. Three of the most common neuropsychiatric symptoms (NPS) were evaluated by the Public Health Questionnaire, General Anxiety Disorder, and Apathy Evaluation Scale, respectively. Speech and facial features were extracted using the open-source data analysis toolkits. Machine learning techniques were used to validate the diagnostic power of extracted features.

RESULTS

Different speech and facial features were associated with specific NPS. Depression was associated with spectral and temporal features, anxiety and apathy with frequency, energy, spectral, and temporal features. Additionally, depression was associated with facial features (action unit, AU) 10, 12, 15, 17, 25, anxiety with AU 10, 15, 17, 25, 26, 45, and apathy with AU 5, 26, 45. Significant differences in speech and facial features were observed between males and females. Based on machine learning models, the highest accuracy for detecting depression, anxiety, and apathy reached 95.8%, 96.1%, and 83.3% for males, and 87.8%, 88.2%, and 88.6% for females, respectively.

CONCLUSION

Depression, anxiety, and apathy were characterized by distinct speech and facial features. The machine learning model developed in this study demonstrated good classification in detecting depression, anxiety, and apathy. A combination of audio and video may provide objective methods for the precise classification of these symptoms.

Whole blood cadmium levels and depressive symptoms in Chinese young adults: A prospective cohort study combing metabolomics

OBJECTIVES

To investigate the association between Cd exposure and depressive symptoms in Chinese young adults. And to investigate the potential metabolic changes associated with high blood Cd concentrations.

METHODS

We conducted a cohort study in 2019 and 2021. Blood Cd and depressive symptoms were collected during baseline and follow-up. The nine-item Patient Health Questionnaire (PHQ-9) scores were used to assess depressive symptoms. We used the generalized linear mixed model to estimate the association between blood Cd levels and depressive symptoms. A metabolomic and lipidomic analysis based on liquid chromatography-mass spectrometry was conducted on a total of 679 blood samples. The metabolomic data were analyzed using variance analysis and linear mixed effects models.

RESULTS

Blood Cd concentrations were significantly associated with increased severity of depression symptoms [odds ratio (OR) 2.07, 95% confidence interval (CI) 1.04-4.11]. Metabolomics analysis found 93 metabolites with significant statistical differences between the lowest blood Cd level group and the highest Cd level group. Among the 93 differential metabolites, 17 were enriched in 7 differential metabolic pathways.

CONCLUSIONS

Blood Cd was associated with increased severity of depression symptoms in Chinese young adults. Cd exposure may affect depressive symptoms by inducing oxidative stress, inflammation, and disrupting amino acid metabolism.

Neuropathological characteristics of abnormal white matter functional signaling in adolescents with major depression

BACKGROUND

Major depression disorder (MDD) constitutes a significant mental health concern. Epidemiological surveys indicate that the lifetime prevalence of depression in adolescents is much higher than that in adults, with a corresponding increased risk of suicide. In studying brain dysfunction associated with MDD in adole-scents, research on brain white matter (WM) is sparse. Some researchers even mistakenly regard the signals generated by the WM as noise points. In fact, studies have shown that WM exhibits similar blood oxygen level-dependent signal fluctuations. The alterations in WM signals and their relationship with disease severity in adolescents with MDD remain unclear.

AIM

To explore potential abnormalities in WM functional signals in adolescents with MDD.

METHODS

This study involved 48 adolescent patients with MDD and 31 healthy controls (HC). All participants were assessed using the Patient Health Questionnaire-9 Scale and the mini international neuropsychiatric interview (MINI) suicide inventory. In addition, a Siemens Skyra 3.0T magnetic resonance scanner was used to obtain the subjects' image data. The DPABI software was utilized to calculate the WM signal of the fractional amplitude of low frequency fluctuations (fALFF) and regional homogeneity, followed by a two-sample t-test between the MDD and HC groups. Independent component analysis (ICA) was also used to evaluate the WM functional signal. Pearson's correlation was performed to assess the relationship between statistical test results and clinical scales.

RESULTS

Compared to HC, individuals with MDD demonstrated a decrease in the fALFF of WM in the corpus callosum body, left posterior limb of the internal capsule, right superior corona radiata, and bilateral posterior corona radiata [P < 0.001, family-wise error (FWE) voxel correction]. The regional homogeneity of WM increased in the right posterior limb of internal capsule and left superior corona radiata, and decreased in the left superior longitudinal fasciculus (P < 0.001, FWE voxel correction). The ICA results of WM overlapped with those of regional homo-geneity. The fALFF of WM signal in the left posterior limb of the internal capsule was negatively correlated with the MINI suicide scale (P = 0.026, r = -0.32), and the right posterior corona radiata was also negatively correlated with the MINI suicide scale (P = 0.047, r = -0.288).

CONCLUSION

Adolescents with MDD involves changes in WM functional signals, and these differences in brain regions may increase the risk of suicide.

Outpatient care for facial palsy-a survey on patient satisfaction in uni- and interdisciplinary approaches

Objective

The various causes of facial palsy, diagnostic methods and treatment approaches frequently involve different medical specialities. Nevertheless, there exist only few specialized consultation and therapy services for patients with facial palsy (FP) in Germany. The aim of the present study was to evaluate factors affecting quality of life (QoL) and treatment satisfaction of patients presenting to an interdisciplinary facial nerve outpatient clinic.

Methods

The study analyzed patients presenting to the interdisciplinary facial palsy outpatient clinic in Tuebingen between February 2019 and December 2022. General satisfaction and QoL was estimated by numerous self-rating questionnaires: ZUF-8, SF-36, FDI, FaCE, PHQ-9. An ANOVA was performed to analyze determinants affecting the ZUF-8. Correlation analyses between cause and regeneration of FP as well as questionnaire scores were performed. Results were compared with a group of patients who were managed in an unidisciplinary setting.

Results

In total, 66 patients with FP were enrolled. FP patients showed increased levels of depression (PHQ-9: 14.52 ± 3.8) correlating with recovery of the palsy (p = 0.008), FaCE (p < 0.001) and FDI ratings (p < 0.001). There was a high level of satisfaction with the services provided during the uni-and interdisciplinary consultation (ZUF-8: 24.59 ± 6.2), especially among the 12/66 patients who received reconstructive, surgical treatment. However, some patients requested more psychological and ophthalmological support.

Conclusion

High levels of treatment satisfaction can be achieved in both an uni-and interdisciplinary setting. However, multimodal therapy approaches should be applied, considering physical and psychological aspects. In the absence of recovery, surgical interventions must be considered as treatment options. Further studies should continue to investigate potential differences between uni-and interdisciplinary treatment.

Antibiotic exposure associated with nighttime sleep duration and daytime sleepiness in newlyweds

Few studies have explored the relationship between antibiotic exposure and sleep in newlyweds. We applied the actor-partner interdependence moderation model to estimate the relationships of antibiotic exposure with nighttime sleep duration (weekday, weekend, and average sleep durations) and daytime sleepiness in newlyweds. We found that 99.0% of the 2698 enrolled individuals were exposed to at least one antibiotic. Among the newlyweds, exposure to florfenicol (β, - 0.077; 95% confidence interval [CI], - 0.143, - 0.011), exposure to chloramphenicols (- 0.086 [- 0.160, - 0.011]), and exposure to veterinary antibiotics (VAs) (- 0.106 [- 0.201, - 0.010]) were negatively associated with weekday sleep duration. Florfenicol, chloramphenicols, and VAs were also inversely related to average sleep duration in the newlyweds. Ciprofloxacin and cyadox exposure was significantly associated with an increase of 0.264 (0.030, 0.497) and (0.375 [0.088, 0.663]) Epworth Sleepiness Scale (ESS) scores in the newlyweds, respectively. Gender moderated the actor-partner effects of erythromycin and tetracyclines on the newlyweds' weekday sleep duration and ESS scores. Overall, exposure to florfenicol, chloramphenicols, and VAs shortened weekday and average sleep durations of newlyweds. Exposure to ciprofloxacin and cyadox promoted daytime sleepiness. Gender moderated the actor-partner effects of specific antibiotics on the weekday sleep duration and ESS scores of the newlyweds.

Novel Multi-Strain E3 Probiotic Formulation Improved Mental Health Symptoms and Sleep Quality in Hong Kong Chinese

Mental health issues have emerged as a significant concern in public health, given their association with physical and psychological comorbidities and the resultant socioeconomic burdens. Recent studies have highlighted the interplay between gut microbes and brain functions through the gut-brain axis. To investigate this further, we conducted a targeted 16S rRNA sequencing and comprehensive bioinformatic analysis among Southern Chinese individuals to explore the role of the gut microbiome in depression, anxiety, and sleep disturbance. We analyzed the differences in the gut microbiome profile of 68 participants with sleep disturbance and mood symptoms before and after an 8-week course of a novel oral E3 multi-strain probiotics formula. The results revealed a significant improvement in subjective sleep quality (PSQI: mean 8.79 at baseline vs. 7.10 at week 8, p < 0.001), depressive symptoms (PHQ9: mean 6.17 at baseline vs. 4.76 at week 8, p < 0.001), and anxious symptoms (GAD7: mean 4.90 at baseline vs. 3.76 at week 8, p < 0.001). Additionally, there were notable differences in beta diversity (weighted UniFrac; p = 0.045) and increased Firmicutes/Bacteroidetes (F/B) ratio (p = 4 × 10-4) were observed in the gut microbiome analysis. Furthermore, the relative abundance of Bifidobacterium bifidum (p < 0.001), Lactobacillus acidophilus (p < 0.001), Lactobacillus helveticus (p < 0.001) and Lactobacillus plantarum (p < 0.001) were significantly increased after the 8-week probiotic supplementation. Our study suggests that the gut microbial landscape varies between responders and non-responders at multiple levels, including genera, species, functional, and network interaction. Notably, the use of probiotics in populations with depressive or anxious symptoms and poor sleeping quality remodeled the gut microbiome and demonstrated improved mood and sleep quality.

The prevalence of depression, anxiety, and sleep disturbances in patients with neuromyelitis optica spectrum disorders (NMOSD): A systematic review and meta-analysis

OBJECTIVE

To estimate pooled prevalence of depression, anxiety, and sleep disturbances in neuromyelitis optica spectrum disorders (NMOSD) cases.

METHODS

Electronic database of PubMed (MEDLINE), the Cochrane Central Register of Controlled Trials (CENTRAL), Embase and Web of Science ware systematically searched to identify relevant studies published not later than June 10, 2022. Specifically, original articles that reported the prevalence of depression, anxiety and sleep disturbances were selected. All pooled prevalence and 95 % confidence intervals (CIs) were calculated using a random-effects model. Publication bias was examined using funnel plots, and sensitivity analysis was used to explore the stability of the pooled results.

RESULTS

A total of 31 studies involving 4213 participants were included in this review. The pooled prevalence of depression was 40 % (95 % CI: 32-49 %), the pooled prevalence of anxiety was 45 % (95 % CI: 24-66 %), and the pooled prevalence of sleeping disturbances was 55 % (95 % CI: 46-64 %). The depression and anxiety prevalence estimates varied based on different screening tools.

CONCLUSIONS

There is a high prevalence of depression, anxiety, and sleep disturbances among NMOSD. These findings underscore the importance of regular monitoring of psychological status in NMOSD as well as the need for preventive approaches, early diagnosis, and intervention to improve medical and psychosocial outcomes.

Developing a machine learning model for detecting depression, anxiety, and apathy in older adults with mild cognitive impairment using speech and facial expressions: A cross-sectional observational study

BACKGROUND

Depression, anxiety, and apathy are highly prevalent in older people with preclinical dementia and mild cognitive impairment. These symptoms have also proven valuable in predicting the progression from mild cognitive impairment to dementia, enabling a timely diagnosis and treatment. However, objective and reliable indicators to detect and distinguish depression, anxiety, and apathy are relatively scarce.

OBJECTIVE

This study aimed to develop a machine learning model to detect and distinguish depression, anxiety, and apathy based on speech and facial expressions.

DESIGN

An observational, cross-sectional study design.

SETTING(S)

The memory outpatient department of a tertiary hospital.

PARTICIPANTS

319 older adults diagnosed with mild cognitive impairment.

METHODS

Depression, anxiety, and apathy were evaluated by the Public Health Questionnaire, General Anxiety Disorder, and Apathy Evaluation Scale, respectively. Speech and facial expressions of older adults with mild cognitive impairment were digitally captured using audio and video recording software. Open-source data analysis toolkits were utilized to extract speech, facial, and text features. The multiclass classification was used to develop classification models, and shapely additive explanations were used to explain the contribution of each feature within the model.

RESULTS

The random forest method was used to develop a multiclass emotion classification model, which performed well in classifying emotions with a weighted-average F1 score of 96.6 %. The model also demonstrated high accuracy, precision, and recall, with 87.4 %, 86.6 %, and 87.6 %, respectively.

CONCLUSIONS

The machine learning model developed in this study demonstrated strong classification performance in detecting and differentiating depression, anxiety, and apathy. This innovative approach combines text, audio, and video to provide objective methods for precise classification and remote monitoring of these symptoms in nursing practice.

REGISTRATION

This study was registered at the Chinese Clinical Trial Registry (registration number: ChiCTR1900023892; registration date: June 19th, 2019).

Usability and Acceptability of a Videoconference Program for the Treatment of Depression in Adults With Peripheral Neuropathy

Peripheral neuropathy is a debilitating neurological disorder affecting 13% to 14% of the US population. Estimates for co-occurring mood disorders in individuals with neuropathy range from 30% to 47%, but sparse evidence exists regarding depression treatment for adults with neuropathy. A cognitive-behavioral treatment, Acceptance and commitment therapy, is known to reduce depression in people with chronic pain, but little is known about its effectiveness in adults with neuropathy, particularly when the treatment is provided via videoconference. Acceptability and usability of this therapeutic treatment provided via videoconference was assessed in participants with peripheral neuropathy and symptoms of depression. Participants completed pre- and post-self-report outcome measures: the nine-item depression scale of the Patient Health Questionnaire and the 36-item Short-Form Health Survey. They also completed the Acceptability e-Scale and Post-Study System Usability Questionnaire after treatment. Depression decreased significantly, with scores declining from an average of 9.2 to 5.1 on the Patient Health Questionnaire ( P < .05). The Short-Form Health Survey indicated significant improvement post-treatment on the "Energy/Fatigue" and "Emotional Well Being" subscales. The intervention was rated by participants as acceptable and demonstrated high usability. This initial therapeutic treatment via videoconference offers promise to treat depression in older adults with neuropathy.

Sensitivity and specificity of the Patient Health Questionnaire (PHQ-9, PHQ-8, PHQ-2) and General Anxiety Disorder scale (GAD-7, GAD-2) for depression and anxiety diagnosis: a cross-sectional study in a Peruvian hospital population

OBJECTIVES

The Patient Health Questionnaire (PHQ) and Generalised Anxiety Disorder Scale (GAD) are widely used screening tools, but their sensitivity and specificity in low-income and middle-income countries are lower than in high-income countries. We conducted a study to determine the sensitivity and specificity of different versions of these scales in a Peruvian hospital population.

DESIGN

Our study has a cross-sectional design.

SETTING

Our participants are hospitalised patients in a Peruvian hospital. The gold standard was a clinical psychiatric interview following ICD-10 criteria for depression (F32.0, F32.1, F32.2 and F32.3) and anxiety (F41.0 and F41.1).

PARTICIPANTS

The sample included 1347 participants. A total of 334 participants (24.8%) were diagnosed with depression, and 28 participants (2.1%) were diagnosed with anxiety.

RESULTS

The PHQ-9's≥7 cut-off point showed the highest simultaneous sensitivity and specificity when contrasted against a psychiatric diagnosis of depression. For a similar contrast against the gold standard, the other optimal cut-off points were: ≥7 for the PHQ-8 and ≥2 for the PHQ-2. In particular, the cut-off point ≥8 had good performance for GAD-7 with sensitivity and specificity, and cut-off point ≥10 had lower levels of sensitivity, but higher levels of specificity, compared with the cut-off point of ≥8. Also, we present the sensitivity and specificity values of each cut-off point in PHQ-9, PHQ-8, PHQ-2, GAD-7 and GAD-2. We confirmed the adequacy of a one-dimensional model for the PHQ-9, PHQ-8 and GAD-7, while all PHQ and GAD scales showed good reliability.

CONCLUSIONS

The PHQ and GAD have adequate measurement properties in their different versions. We present specific cut-offs for each version.

Investigation of the status of depression and anxiety among leaders and staff in pharmacy intravenous admixture services in China

We aimed to investigate the status of depression and anxiety among leaders and staff in pharmacy intravenous admixture services (PIVAS) and analyze influencing factors to provide a reference for improving their mental health status. This study involved a multi-center cross-sectional survey. PIVAS leaders and staff from across China were invited to participate. The Generalized Anxiety Disorder-7 and 9-item Patient Health Questionnaire were used to measure the status of anxiety and depression. A multiple linear regression model was used to analyze influencing factors. In total, 137 PIVAS leaders and 501 staff were included in this study. The results showed that 43.8% (60/137) of the leaders had anxiety and 38.7% (53/137) had depression. Among staff, 47.3% (237/501) had anxiety and 46.5% (233/501) had depression. Multiple linear regression showed that for PIVAS leaders, the degree of recognition by doctors was associated with anxiety scores, whereas PIVAS charge standard, PIVAS profit and loss situation, and the degree of recognition by doctors were associated with depression scores. For PIVAS staff, satisfaction with working in PIVAS was associated with anxiety scores, and job title, working hours per day, and satisfaction with working in PIVAS were associated with depression scores. Depression and anxiety are common among PIVAS leaders and staff working in hospitals in China. Hospitals should implement measures to improve the mental health of PIVAS leaders and staff.

Understanding the Vicious Circle of Pain, Physical Activity, and Mental Health in Lipedema Patients-A Response Surface Analysis

Lipedema is a widespread disease with painful accumulations of subcutaneous fat in the legs and arms. Often, obesity co-occurs. Many patients suffer from impairment in mobility and mental health. Obesity and mental health in turn can be positively influenced by physical activity. In this study, we aimed to examine the interrelations between pain and physical activity on mental health in lipedema patients. In total, 511 female lipedema patients (age M = 40.16 ± 12.45 years, BMI M = 33.86 ± 7.80 kg/m2) filled in questionnaires measuring pain, physical activity, and mental health (PHQ-9; WHOQOL-BREF with subscales mental, physical, social, environmental, and overall health). Response surface analyses were calculated via R statistics. The explained variance was high for the model predicting depression severity (R2 = 0.18, p < 0.001) and physical health (R2 = 0.30, p < 0.001). Additive incongruence effects of pain and physical activity on depression severity, mental, physical, and overall health were found (all p < 0.001). In our study, physical activity and pain synergistically influenced physical, mental, and overall health. The pain not only led to low mental health but also interfered with the valuable potential of engaging in physical activity in lipedema patients.

A novel tool for improving the accuracy of major depressive disorder screening: A prospective study on andrology with external validation

Patient Health Questionnaire-9 (PHQ-9) is the most widely used tool for screening for major depressive disorder (MDD). Although its reliability and validity have been proven, missed or misjudged cases during MDD screening are often encountered. A nomogram that considers the weights of depressive symptoms was developed using data from premature ejaculation patients to improve screening accuracy. During a 33-month prospective study, a training cohort comprising 605 participants from Xijing Hospital was used to develop and internally validate the nomogram. A validation cohort comprising 461 patients from Xi'an Daxing Hospital was also used to externally test the nomogram. The nomogram was established by integrating the LASSO regression-based optimal predictors of MDD according to their coefficients in a multivariate logistic regression model. The nomogram was well-calibrated during internal and external validations. Moreover, it showed a better discriminatory capacity and yielded more net benefits in both validations than PHQ-9. With better performance, the nomogram may help reduce the number of missed or misjudged cases during MDD screening. This study is the first to weigh the direct indicators of MDD under the DSM-5 criteria, presenting a fresh concept that can be applied to other populations to enhance screening accuracy.

Prevalence and correlators of burnout among health professionals during different stages of the COVID-19 pandemic in China

Background

Persistently increased workload and stress occurred in health professionals (HPs) during the past 3 years as the COVID-19 pandemic continued. The current study seeks to explore the prevalence of and correlators of HPs' burnout during different stages of the pandemic.

Methods

Three repeated online studies were conducted in different stages of the COVID-19 pandemic: wave 1: after the first peak of the pandemic, wave 2: the early period of the zero-COVID policy, and wave 3: the second peak of the pandemic in China. Two dimensions of burnout, emotional exhaustion (EE) and declined personal accomplishment (DPA), were assessed using Human Services Survey for Medical Personnel (MBI-HSMP), a 9-item Patient Health Questionnaire (PHQ-9), and a 7-item Generalized Anxiety Disorder (GAD-7) to assess mental health conditions. An unconditional logistic regression model was employed to discern the correlators.

Results

There was an overall prevalence of depression (34.9%), anxiety (22.5%), EE (44.6%), and DPA (36.5%) in the participants; the highest prevalence of EE and DPA was discovered in the first wave (47.4% and 36.5%, respectively), then the second wave (44.9% and 34.0%), and the third wave had the lowest prevalence of 42.3% and 32.2%. Depressive symptoms and anxiety were persistently correlated with a higher prevalence risk of both EE and DPA. Workplace violence led to a higher prevalence risk of EE (wave 1: OR = 1.37, 95% CI: 1.16-1.63), and women (wave 1: OR = 1.19, 95% CI: 1.00-1.42; wave 3: OR =1.20, 95% CI:1.01-1.44) and those living in a central area (wave 2: OR = 1.66, 95% CI: 1.20-2.31) or west area (wave 2: OR = 1.54, 95% CI: 1.26-1.87) also had a higher prevalence risk of EE. In contrast, those over 50 years of age (wave 1: OR = 0.61, 95% CI: 0.39-0.96; wave 3: OR = 0.60, 95% CI: 0.38-0.95) and who provided care to patients with COVID-19 (wave 2: OR = 0.73, 95% CI: 0.57-0.92) had a lower risk of EE. Working in the psychiatry section (wave 1: OR = 1.38, 95% CI: 1.01-1.89) and being minorities (wave 2: OR = 1.28, 95% CI: 1.04-1.58) had a higher risk of DPA, while those over 50 years of age had a lower risk of DPA (wave 3: OR = 0.56, 95% CI: 0.36-0.88).

Conclusion

This three-wave cross-sectional study revealed that the prevalence of burnout among health professionals was at a high level persistently during the different stages of the pandemic. The results suggest that functional impairment prevention resources and programs may be inadequate and, as such, continuous monitoring of these variables could provide evidence for developing optimal strategies for saving human resources in the coming post-pandemic era.

Age and Sex Differences in the Association between Serum Vitamin E Levels and Depressive Symptoms: Korea National Health and Nutrition Examination Survey

Studies have reported inconsistent results regarding the relationship between serum vitamin E levels and depressive symptoms. Furthermore, the potential modulating role of age and sex has been underexplored. We conduct an age- and sex-stratified investigation of the association between serological vitamin E status and depressive symptoms in a large nationwide sample. Data from the Korean National Health and Nutrition Examination Survey were analyzed (n = 4448). The participants were stratified into four groups according to age (<65 vs. ≥65 years) and sex. Each group was divided into tertiles of vitamin E/total lipid ratio, and Patient Health Questionnaire-9 (PHQ-9) scores were compared among the tertiles via multivariable linear regression analyses. The relationship between dietary supplement use and the proportions of tertiles was assessed in each group. With the middle tertile as the reference group, the low tertile of vitamin E/total lipid ratio was associated with increased PHQ-9 scores in younger females and older males after adjusting for all covariates, while the high tertile showed no significant associations with PHQ-9 scores in any group. The low tertile was associated with increased adjusted mean PHQ-9 scores by 0.53 and 1.02 compared to the middle tertile in younger females and older males, respectively. Dietary supplement use was related to higher vitamin E/total lipid ratio in all four groups. In conclusion, younger females and older males with a low vitamin E status showed worse depressive symptoms. These individuals may benefit from dietary interventions to prevent depressive symptoms.

Depression in Chinese Patients with Cleft Lip and/or Palate: A Preliminary Study

(1) Objectives: To investigate the difference in prevalence of depression between patients with CL/P (cleft lip and/or palate) and analyze the possible demographic factors that affect the prevalence of depression in Chinese patients with CL/P. (2) Methods: Patients with CL (cleft lip only), CP (cleft palate), and CLP (cleft lip and palate) were included in the study group. Non-CL/P individuals were included in the control group. The Patient Health Questionnaire (PHQ-9) was used to screen the depression of Chinese patients with CL/P. The different proportions of different depression groups between the CL/P group and the control groups were tested by the Fisher-Freeman-Halton test and Bonferroni correction. The scores between the study groups and the control group were analyzed by one-way ANOVA. In the study groups, demographic and clinical data of the patients, including diagnosis (CL, CP, CLP), gender, age, the only child or not, and region were collected to analyze whether they were the possible factors affecting depression through one-way independent-samples t-test. Pearson correlation analysis was used to analyze the correlation between monthly family income and depression. (3) Results: 111 and 80 valid questionnaires were collected from the study and control groups, respectively. The mean PHQ-9 score of the study group (5.459 ± 6.082) was relatively higher than the control group (4.362 ± 3.384), and the difference in proportions of depression groups was statistically significant between the CL/P group and the control group (p = 0.01), especially in the mild depression (p < 0.05) and moderately severe depression groups (p < 0.05). Statistically significant differences in PHQ-9 scores were observed between the individuals of different genders (p = 0.036) and ages (p = 0.007) in patients with CL/P, the individuals who were the only child or not in patients with CL (p = 0.007), and the individuals of different ages in patients with CP (p = 0.016). (4) Conclusions: The prevalence of depression in Chinese patients with CL/P was different compared with those without CL/P, while gender, age, the only child or not, and region played significant roles in affecting depression psychology.

Effect of Psychological Intervention on Differentiated Thyroid Cancer Patients in the Treatment with Radioactive Iodine

OBJECTIVE

This study aimed to design a standard method of psychological intervention and evaluate the effect of such psychological intervention against the psychological distress of differentiated thyroid cancer (DTC) patients in the treatment with radioactive iodine.

METHODS

The enrolled patients were randomly divided into the intervention group and the control group. Both the patients in the 2 groups received the routine nursing care, while the patients in the intervention group also received the additional standard psychological interventions. The questionnaires including patient health questionnaire-9 (PHQ-9), generalized anxiety disorder 7-item (GAD-7), cancer fatigue scale (CFS) and positive and negative affect schedule (PANAS) were used to assess psychological status. These questionnaires were performed at week 0 (T0), week 8 (T1, immediately after the last time of intervention) and week 24 (T2, 16 weeks after the intervention).

RESULTS

PHQ-9, GAD-7, CFS and Negative Affect (NA) scores measured at T1 and T2 in the intervention group were significantly lower than those in the control group (P < 0.001). And intervention group also had higher positive affect (PA) scores at T1 and T2 (P < 0.001). Furthermore, the changes of PHQ-9, GAD-7, CFS, PA and NA scores from T0 to T1 and T0 to T2 were more evident in the intervention group than in the control group.

CONCLUSION

Psychological intervention could significantly improve psychological distress of DTC patients in the treatment with radioactive iodine.

Lower serum insulin-like growth factor 1 concentrations in patients with chronic insomnia disorder

Objectives

Insulin-like growth factor 1 (IGF-1) is a crucial neurotrophin that is produced in the brain and periphery and may play an important role in insomnia and mood disorders. We aimed to analyze its serum concentrations in patients with chronic insomnia disorder (CID).

Methods

Patients with CID were enrolled in this study and divided into the CID group [Generalized Anxiety Disorder-7 (GAD-7) score < 10] and the CID with anxiety group (GAD-7 score ≥ 10). Age-and sex-matched healthy volunteers were recruited as controls. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality and the GAD-7 and the Patient Health Questionnaire-9 to assess emotional status. All subjects were monitored via polysomnography, and the serum IGF-1 concentrations in their peripheral blood were detected via enzyme-linked immunosorbent assays.

Results

We enrolled 65 patients with CID (of whom 35 had anxiety) and 36 controls. The PSQI score and IGF-1 concentration in the CID and CID with anxiety groups were higher than those in the control group. The apparent difference in IGF-1 concentration between the CID and CID with anxiety groups was not statistically significant. The IGF-1 concentration in patients with CID was linearly correlated with the GAD-7 score, PSQI score, and stage 3 non-rapid eye movement (stage N3) time.

Conclusion

The serum IGF-1 concentration in patients with CID was lower than that of participants without CID, negatively correlated with anxiety score and sleep quality, and positively correlated with stage N3 time.

A retrospective study investigating the anxiety and depression level of novel coronavirus Omicron patients in 2022

INTRODUCTION

The novel coronavirus disease 2019 continues to spread widely, not only causing physical disorders in patients but also impairing mental health, bringing a heavy burden on global public health. This study aimed to evaluate the anxiety and depression status of patients infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) omicron variant in Shanghai.

METHODS/DESIGN

This study aimed to retrospectively analyze 2000 patients infected with the SARS-CoV-2 Omicron variant. Data from patients assessed with demographic information, anxiety and depressive symptoms were collected using a questionnaire. Clinical and laboratory data were collected using electronic medical system. Anxiety and depression were assessed using the Self-Rating Anxiety Scale, the Generalized Anxiety Disorder Scale, and the Patient Health Questionnaire. Clinical information and laboratory indicators included age, sex, blood pressure, blood glucose, basic disease, time of diagnosis onset, duration of hospitalization, vaccination status of novel coronavirus disease 2019, and virus-negative conversion time.

DISCUSSION

This study will provide evidence-based suggestions for early psychological intervention in patients infected with the SARS-CoV-2 Omicron Variant.

Identifying different cognitive phenotypes and their relationship with disability in neuromyelitis optica spectrum disorder

Background

The existence, frequency, and features of cognitive impairment (CI) in patients with neuromyelitis optica spectrum disorder (NMOSD) are still debated. A precise classification and characterization of cognitive phenotypes in patients with NMOSD are lacking.

Methods

A total of 66 patients with NMOSD and 22 healthy controls (HCs) underwent a neuropsychological assessment. Latent profile analysis (LPA) on cognitive test z scores was used to identify cognitive phenotypes, and ANOVA was used to define the clinical features of each phenotype. Univariate and multivariate analyses were used to explore the predictors of severe CI, and a corresponding nomogram was created to visualize the predictive model.

Results

LPA results suggested four distinct meaningful cognitive phenotypes in NMOSD: preserved cognition (n = 20, 30.3%), mild-attention (n = 21, 31.8%), mild-multidomain (n = 18, 27.3%), and severe-multidomain (n = 7, 10.6%). Patients with the last three phenotypes were perceived to have CI, which accounts for 67.6% of patients with NMOSD. Patients with NMOSD and worse cognitive function were older (p < 0.001) and had lower educational levels (p < 0.001), later clinical onset (p = 0.01), worse Expanded Disability Status Scale scores (p = 0.001), and poorer lower-limb motor function (Timed 25-Foot Walk, p = 0.029; 12-item Multiple Sclerosis Walking Scale [MSWS-12], p < 0.001). Deterioration of Nine-Hole Peg Test (odds ratio, OR: 1.115 [1, 1.243], p = 0.05) and MSWS-12 (OR: 1.069 [1.003, 1.139], p = 0.04) were the independent risk factors for severe cognitive dysfunction. Finally, a nomogram was built based on the entire cohort and the above factors to serve as a useful tool for clinicians to evaluate the risk of severe cognitive dysfunction.

Conclusions

We introduced a classification scheme for CI and highlighted that the deterioration of upper- and lower-limb motor disability potentially predicts cognitive phenotypes in NMOSD.

A Machine Learning Approach for Detecting Digital Behavioral Patterns of Depression Using Nonintrusive Smartphone Data (Complementary Path to Patient Health Questionnaire-9 Assessment): Prospective Observational Study

BACKGROUND

Depression is a major global cause of morbidity, an economic burden, and the greatest health challenge leading to chronic disability. Mobile monitoring of mental conditions has long been a sought-after metric to overcome the problems associated with the screening, diagnosis, and monitoring of depression and its heterogeneous presentation. The widespread availability of smartphones has made it possible to use their data to generate digital behavioral models that can be used for both clinical and remote screening and monitoring purposes. This study is novel as it adds to the field by conducting a trial using private and nonintrusive sensors that can help detect and monitor depression in a continuous, passive manner.

OBJECTIVE

This study demonstrates a novel mental behavioral profiling metric (the Mental Health Similarity Score), derived from analyzing passively monitored, private, and nonintrusive smartphone use data, to identify and track depressive behavior and its progression.

METHODS

Smartphone data sets and self-reported Patient Health Questionnaire-9 (PHQ-9) depression assessments were collected from 558 smartphone users on the Android operating system in an observational study over an average of 10.7 (SD 23.7) days. We quantified 37 digital behavioral markers from the passive smartphone data set and explored the relationship between the digital behavioral markers and depression using correlation coefficients and random forest models. We leveraged 4 supervised machine learning classification algorithms to predict depression and its severity using PHQ-9 scores as the ground truth. We also quantified an additional 3 digital markers from gyroscope sensors and explored their feasibility in improving the model's accuracy in detecting depression.

RESULTS

The PHQ-9 2-class model (none vs severe) achieved the following metrics: precision of 85% to 89%, recall of 85% to 89%, F1 of 87%, and accuracy of 87%. The PHQ-9 3-class model (none vs mild vs severe) achieved the following metrics: precision of 74% to 86%, recall of 76% to 83%, F1 of 75% to 84%, and accuracy of 78%. A significant positive Pearson correlation was found between PHQ-9 questions 2, 6, and 9 within the severely depressed users and the mental behavioral profiling metric (r=0.73). The PHQ-9 question-specific model achieved the following metrics: precision of 76% to 80%, recall of 75% to 81%, F1 of 78% to 89%, and accuracy of 78%. When a gyroscope sensor was added as a feature, the Pearson correlation among questions 2, 6, and 9 decreased from 0.73 to 0.46. The PHQ-9 2-class model+gyro features achieved the following metrics: precision of 74% to 78%, recall of 67% to 83%, F1 of 72% to 78%, and accuracy of 76%.

CONCLUSIONS

Our results demonstrate that the Mental Health Similarity Score can be used to identify and track depressive behavior and its progression with high accuracy.