Using an Interpretable Amino Acid-Based Machine Learning Method to Enhance the Diagnosis of Major Depressive Disorder

Background: Major depressive disorder (MDD) is a leading cause of disability worldwide. At present, however, there are no established biomarkers that have been validated for diagnosing and treating MDD. This study sought to assess the diagnostic and predictive potential of the differences in serum amino acid concentration levels between MDD patients and healthy controls (HCs), integrating them into interpretable machine learning models. Methods: In total, 70 MDD patients and 70 HCs matched in age, gender, and ethnicity were recruited for the study. Serum amino acid profiling was conducted by means of chromatography-mass spectrometry. A total of 21 metabolites were analysed, with 17 from a preset amino acid panel and the remaining 4 from a preset kynurenine panel. Logistic regression was applied to differentiate MDD patients from HCs. Results: The best-performing model utilised both feature selection and hyperparameter optimisation and yielded a moderate area under the receiver operating curve (AUC) classification value of 0.76 on the testing data. The top five metabolites identified as potential biomarkers for MDD were 3-hydroxy-kynurenine, valine, kynurenine, glutamic acid, and xanthurenic acid. Conclusions: Our study highlights the potential of using an interpretable machine learning analysis model based on amino acids to aid and increase the diagnostic accuracy of MDD in clinical practice.

Interpretable deep learning model for major depressive disorder assessment based on functional near-infrared spectroscopy

BACKGROUND

Major depressive disorder (MDD) affects a substantial number of individuals worldwide. New approaches are required to improve the diagnosis of MDD, which relies heavily on subjective reports of depression-related symptoms.

AIM

Establish an objective measurement and evaluation of MDD.

METHODS

Functional near-infrared spectroscopy (fNIRS) was used to investigate the brain activity of MDD patients and healthy controls (HCs). Leveraging a sizeable fNIRS dataset of 263 HCs and 251 patients with MDD, including mild to moderate MDD (mMDD; n = 139) and severe MDD (sMDD; n = 77), we developed an interpretable deep learning model for screening MDD and staging its severity.

RESULTS

The proposed deep learning model achieved an accuracy of 80.9% in diagnostic classification and 78.6% in severity staging for MDD. We discerned five channels with the most significant contribution to MDD identification through Shapley additive explanations (SHAP), located in the right medial prefrontal cortex, right dorsolateral prefrontal cortex, right superior temporal gyrus, and left posterior superior frontal cortex. The findings corresponded closely to the features of haemoglobin responses between HCs and individuals with MDD, as we obtained a good discriminative ability for MDD using cortical channels that are related to the disorder, namely the frontal and temporal cortical channels with areas under the curve of 0.78 and 0.81, respectively.

CONCLUSION

Our study demonstrated the potential of integrating the fNIRS system with artificial intelligence algorithms to classify and stage MDD in clinical settings using a large dataset. This approach can potentially enhance MDD assessment and provide insights for clinical diagnosis and intervention.

Association of depression with all-cause and cancer-specific mortality in older adults with cancer: Systematic review, meta-analysis, and meta-regression

INTRODUCTION

The incidence and mortality of cancer is increasing worldwide with studies reporting that cumulative risk of cancer rises as age increases. Against the backdrop of the increasing prevalence of cancer amongst older patients, we conducted a systematic review and meta-analysis examining the depression-mortality relationship in older adults with cancer (OAC).

MATERIALS AND METHODS

This PRISMA-adherent systematic review involved a systematic search of PubMed, Medline, EMBASE, and PsycINFO for prospective and retrospective cohort studies comparing the risk of all-cause and cancer-related mortality among OAC with depression. Random effects meta-analyses and meta-regressions were used for the primary analysis.

RESULTS

From 5,280 citations, we included 14 cohort studies. Meta-analyses of hazard ratios (HRs) showed an increased incidence of all-cause mortality in OAC with depression (pooled HR: 1.40; 95% confidence interval [CI]: 1.25, 1.55). Subgroup analyses of other categorical study-level characteristics were insignificant. While risk of cancer-related mortality in OAC with depression was insignificantly increased with a pooled HR of 1.21 (95% CI: 0.98, 1.49), subgroup analysis indicated that risk of cancer-related mortality in OAC with depression significantly differed with cancer type. Our systematic review found that having fewer comorbidities, a higher education level, greater socioeconomic status, and positive social supportive factors lowered risk of all-cause mortality in OAC with depression.

DISCUSSION

Depression in OAC significantly increases risk of all-cause mortality and cancer-related mortality among different cancer types. It is imperative for healthcare providers and policy makers to recognize vulnerable subgroups among older adults with cancer to individualize interventions.

Psychological and social impacts of frontotemporal dementia on caregivers and family members - A systematic review

INTRODUCTION

Frontotemporal dementia (FTD) may impose substantial psychological and social burdens on caregivers and family members that are unique from other forms of dementia due to its distinctive clinical characteristics. This systematic review investigated these impacts on caregivers and family members.

METHODS

A systematic search was conducted in the PubMed, Cochrane Library and Embase databases for relevant articles published from database inception to 23 March 2023. The methodological quality of the articles was evaluated using a checklist.

RESULTS

Thirty-six articles (six qualitative and thirty quantitative), including 5129 participants, were included in this review. Like other forms of dementia, FTD caregivers had significant caregiver burden levels and psychological impacts. Caregiver burden was associated with behavioural symptoms (e.g., apathy and disinhibition) and motor symptoms. The costs of caring for a patient with FTD were found to be higher than those for Alzheimer's disease. FTD patients often face challenges in obtaining a correct diagnosis and experience significant delays and multiple misdiagnoses. Healthcare professionals may also be less familiar with FTD than with Alzheimer's, leading to delayed diagnosis. This can cause considerable stress and deprive patients and caregivers of early intervention.

CONCLUSION

FTD is associated with significant costs and caregiver burden levels, and the difficulties faced by caregivers and family members can be unique and challenging in different aspects when compared to other forms of dementia. Better education about FTD for family members and healthcare professionals is required to improve the quality of life for both patients and caregivers, and more support needs to be provided at all stages of the disease.

Case report: Creutzfeldt-Jakob disease presenting with anxiety symptoms in a COVID-19 post-infection patient

Creutzfeldt-Jakob Disease (CJD) is a rare, rapidly progressive, and fatal neurodegenerative disorder. We describe a man whose initial manifestations of CJD occurred shortly after contracting Coronavirus disease 2019 (COVID-19). He first developed anxiety and short-term memory loss a few weeks after a mild COVID-19 infection. He subsequently developed parkinsonism, eventually progressed to akinetic mutism, and passed away 5 months after symptom onset. This case highlights a potential temporal relationship between COVID-19 infection and the onset of neurodegenerative symptoms. Microglia and astrocytes in the central nervous system (CNS) and 'S1' spike proteins on SARS-CoV-2 are potential mediators in neuroinflammation and neurodegeneration.

Lifetime Burden of Psychological Symptoms, Disorders, and Suicide Due to Cancer in Childhood, Adolescent, and Young Adult Years: A Systematic Review and Meta-analysis

Importance

A cancer diagnosis and treatment may result in highly traumatic periods with lasting psychological consequences for children, adolescent, and young adult patients with cancer (CYACs). Early identification and management may prevent long-term psychological morbidity and suicide.

Objective

To analyze risk, severity, and risk factors for depression, anxiety, psychotic disorders, and suicide in CYACs and noncancer comparators.

Data Sources

Literature search of PubMed, MEDLINE, Embase, PsycINFO, CINAHL, and PubMed Central from January 1, 2000, to November 18, 2022.

Study Selection

Full-length articles in peer-reviewed journals that measured and reported risk and/or severity of depression, anxiety, psychotic disorders, and suicide mortality in CYACs and a noncancer comparator group.

Data Extraction and Synthesis

Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines were followed with prospective PROSPERO registration.

Main Outcomes and Measures

Risk ratios (RRs) were used for dichotomous outcomes, and standardized mean differences (SMDs) were used for continuous outcomes. SMDs were defined as follows: 0.2, small; 0.5, medium; and 0.8, large. Sources of heterogeneity and risk factors were investigated using sensitivity, subgroup, and meta-regression analyses.

Results

From 7319 records, 52 studies were included. Meta-analyses revealed that CYACs were at increased lifetime risk of severe symptoms or a disorder of depression (RR, 1.57; 95% CI, 1.29-1.92), anxiety (RR, 1.29; 95% CI, 1.14-1.47), and psychotic disorders (RR, 1.56; 95% CI, 1.36-1.80) relative to both matched controls and their siblings. Overall suicide mortality was not significantly elevated (RR, 1.63; 95% CI, 0.78-3.40). The mean severity of depression was found to be elevated in CYACs receiving treatment (SMD, 0.44; 95% CI, 0.13-0.74) and long-term survivors (SMD, 0.18; 95% CI, 0.02-0.33). The mean severity of anxiety was found to be elevated only during treatment (SMD, 0.16; 95% CI, 0.03-0.20).

Conclusions and Relevance

Findings of this systematic review and meta-analysis suggest that CYACs may experience lasting psychological burden long into survivorship. Timely identification, preventive efforts, and psycho-oncological intervention for psychological comorbidity are recommended.

The diagnostic utility of miRNA and elucidation of pathological mechanisms in major depressive disorder

AIMS

Our study aims to explore how miRNAs can elucidate the molecular mechanisms of major depressive disorder (MDD) by comparing the miRNA levels in the blood serum of patients with depression and healthy individuals. It also explores the potential of miRNAs to differentiate between depressed patients and healthy controls.

METHODS

60 healthy controls (n = 45 females) were matched to 60 depressed patients (n = 10 unmedicated) for age (±7), sex, ethnicity, and years of education. Depression severity was measured using the Hamilton Depression Rating Scale, and venous blood was collected using PAXgene Blood RNA tubes for miRNA profiling. To further identify the depression-related biological pathways that are influenced by differentially expressed miRNAs, networks were constructed using QIAGEN Ingenuity Pathway Analysis. Receiver operating characteristic (ROC) analyses were also conducted to examine the discriminative ability of miRNAs to distinguish between depressed and healthy individuals.

RESULTS

Six miRNAs (miR-542-3p, miR-181b-3p, miR-190a-5p, miR-33a-3p, miR-3690 and miR-6895-3p) showed to be considerably down-regulated in unmedicated depressed patients relative to healthy controls. miR-542-3p, in particular, also has experimentally verified mRNA targets that are predicted to be associated with MDD. ROC analyses found that a panel combining miR-542-3p, miR-181b-3p and miR-3690 produced an area under the curve value of 0.67 in distinguishing between depressed and healthy individuals.

CONCLUSIONS

miRNAs - most notably, miR-542-3p, miR-181b-3p and miR-3690 - may be biomarkers with targets that are implicated in the pathophysiology of depression. They could also be used to distinguish between depressed and healthy individuals with reasonable accuracy.

Association of Hearing Aids and Cochlear Implants With Cognitive Decline and Dementia: A Systematic Review and Meta-analysis

Importance

Hearing loss is associated with cognitive decline. However, it is unclear if hearing restorative devices may have a beneficial effect on cognition.

Objective

To evaluate the associations of hearing aids and cochlear implants with cognitive decline and dementia.

Data Sources

PubMed, Embase, and Cochrane databases for studies published from inception to July 23, 2021.

Study Selection

Randomized clinical trials or observational studies published as full-length articles in peer-reviewed journals relating to the effect of hearing interventions on cognitive function, cognitive decline, cognitive impairment, and dementia in patients with hearing loss.

Data Extraction and Synthesis

The review was conducted in accordance with Preferred Reporting Items for Systematic Review and Meta-analyses (PRISMA) reporting guidelines. Two authors independently searched the PubMed, Embase, and Cochrane databases for studies relating to the effect of hearing interventions on cognitive decline and dementia in patients with hearing loss.

Main Outcomes and Measures

Maximally adjusted hazard ratios (HRs) were used for dichotomous outcomes and ratio of means for continuous outcomes. Sources of heterogeneity were investigated using sensitivity and subgroup analyses, and publication bias was assessed using visual inspection, the Egger test, and trim and fill.

Results

A total of 3243 studies were screened; 31 studies (25 observational studies, 6 trials) with 137 484 participants were included, of which 19 (15 observational studies, 4 trials) were included in quantitative analyses. Meta-analysis of 8 studies, which had 126 903 participants, had a follow-up duration ranging from 2 to 25 years, and studied long-term associations between hearing aid use and cognitive decline, showed significantly lower hazards of any cognitive decline among hearing aid users compared with participants with uncorrected hearing loss (HR, 0.81; 95% CI, 0.76-0.87; I2 = 0%). Additionally, meta-analysis of 11 studies with 568 participants studying the association between hearing restoration and short-term cognitive test score changes revealed a 3% improvement in short-term cognitive test scores after the use of hearing aids (ratio of means, 1.03; 95% CI, 1.02-1.04, I2 = 0%).

Conclusions and Relevance

In this meta-analysis, the usage of hearing restorative devices by participants with hearing loss was associated with a 19% decrease in hazards of long-term cognitive decline. Furthermore, usage of these devices was significantly associated with a 3% improvement in cognitive test scores that assessed general cognition in the short term. A cognitive benefit of hearing restorative devices should be further investigated in randomized trials.

The Utility of Amino Acid Metabolites in the Diagnosis of Major Depressive Disorder and Correlations with Depression Severity

Major depressive disorder (MDD) is a highly prevalent and disabling condition with a high disease burden. There are currently no validated biomarkers for the diagnosis and treatment of MDD. This study assessed serum amino acid metabolite changes between MDD patients and healthy controls (HCs) and their association with disease severity and diagnostic utility. In total, 70 MDD patients and 70 HCs matched in age, gender, and ethnicity were recruited for the study. For amino acid profiling, serum samples were analysed and quantified by liquid chromatography-mass spectrometry (LC-MS). Receiver-operating characteristic (ROC) curves were used to classify putative candidate biomarkers. MDD patients had significantly higher serum levels of glutamic acid, aspartic acid and glycine but lower levels of 3-Hydroxykynurenine; glutamic acid and phenylalanine levels also correlated with depression severity. Combining these four metabolites allowed for accurate discrimination of MDD patients and HCs, with 65.7% of depressed patients and 62.9% of HCs correctly classified. Glutamic acid, aspartic acid, glycine and 3-Hydroxykynurenine may serve as potential diagnostic biomarkers, whereas glutamic acid and phenylalanine may be markers for depression severity. To elucidate the association between these indicators and clinical features, it is necessary to conduct additional studies with larger sample sizes that involve a spectrum of depressive symptomatology.

Medical students' perception towards mental health recovery: a descriptive qualitative study

The conceptualisation of recovery in mental healthcare, for which two definitions ('clinical' and 'personal') prevail, remains inconclusive. In most curricula of medical education, undergraduates are taught straightforward concepts of clinical recovery, which result in their perfunctory and rudimentary understanding. A qualitative descriptive approach was adopted to explore medical undergraduates' perceptions of recovery for people with mental health conditions. Participants were recruited from a Singapore-based university through convenience sampling; the required sample size was determined by data saturation. Individual face-to-face interviews were conducted through Zoom, an online conferencing platform using semi-structured questions from March to July 2021. Recordings of the interviews were transcribed verbatim and thematically analysed. The Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist guided the reporting of this study. Seventeen medical students with the majority (fifteen) of them in their fourth year of medical undergraduate education participated in this study. Four themes were identified: the relationship between mental illnesses and well-being; opinions on mental well-being; understanding of mental illnesses; and perceptions of recovery from mental illnesses. The medical undergraduates in this study predominantly conceptualised recovery based on functions, although many also agreed on respecting patients' perspectives in defining it. This aligns with contemporary approaches that emphasise more shared decision-making opportunities and empowering people with mental health conditions. Accordingly, our findings highlighted the need for foundational medical education to incorporate these constructs in their curricula and strategise to provide more meaningful discussions about them.

Transcranial alternating current stimulation and its effects on cognition and the treatment of psychiatric disorders: a systematic review and meta-analysis

BACKGROUND

Transcranial alternating current stimulation (TACS) is a non-invasive method of brain stimulation that is hypothesised to alter cortical excitability and brain electrical activity, modulating functional connectivity within the brain. Several trials have demonstrated its potential in treating psychiatric disorders such as depression and schizophrenia.

OBJECTIVES

To study the efficacy of TACS in ameliorating symptoms of depression and schizophrenia in patients and its effects on cognition in patients and healthy subjects compared to sham stimulation.

DESIGN

Systematic review with meta-analysis.

DATA SOURCES AND METHODS

This PROSPERO-registered systematic review (CRD42022331149) is reported according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed, EMBASE, CENTRAL and PsycINFO were searched from inception to March 2022. Only randomised-controlled trials were included.

RESULTS

A total of 12 randomised-controlled trials are reviewed for meta-analysis, with three randomised-controlled trials reporting only effects on cognition in psychiatric and cognitively impaired patients, three trials on cognition in healthy subjects, one trial on cognition in both patients and healthy subjects, one trial on only depression, two on both cognition and depression in patients and two on schizophrenia symptoms. No studies were at significant risk of bias. For cognition, TACS showed significant improvement [positive standardised mean differences (SMD) denoting improvement] over sham stimulation in those with psychiatric disorders with an SMD of 0.60 (95% confidence interval [CI]: 0.14, 1.06). Similarly, among patients with depression, an SMD of 1.14 (95% CI: 0.10, 2.18) was found significantly favouring TACS over sham stimulation. Two studies assessed the effect of TACS on schizophrenia symptoms with mixed results.

CONCLUSION

TACS has shown promise in ameliorating symptoms of both schizophrenia and depression in patients. TACS also improves cognition in both patients and healthy subjects. However, these findings are limited by the sample size of included studies, and future studies may be required to better our understanding of the potential of TACS.

REGISTRATION

PROSPERO (CRD42022331149).

Global prevalence of depression and anxiety in patients with hepatocellular carcinoma: Systematic review and meta-analysis

BACKGROUND/AIMS

Depression and anxiety are associated with poorer outcomes in patients with hepatocellular carcinoma (HCC). However, the prevalence of depression and anxiety in HCC are unclear. We aimed to establish the prevalence of depression and anxiety in patients with HCC.

METHODS

MEDLINE and Embase were searched and original articles reporting prevalence of anxiety or depression in patients with HCC were included. A generalized linear mixed model with Clopper-Pearson intervals was used to obtain the pooled prevalence of depression and anxiety in patients with HCC. Risk factors were analyzed via a fractional-logistic regression model.

RESULTS

Seventeen articles involving 64,247 patients with HCC were included. The pooled prevalence of depression and anxiety in patients with HCC was 24.04% (95% confidence interval [CI], 13.99-38.11%) and 22.20% (95% CI, 10.07-42.09%) respectively. Subgroup analysis determined that the prevalence of depression was lowest in studies where depression was diagnosed via clinician-administered scales (16.07%;95% CI, 4.42-44.20%) and highest in self-reported scales (30.03%; 95% CI, 17.19-47.01%). Depression in patients with HCC was lowest in the Americas (16.44%; 95% CI, 6.37-36.27%) and highest in South-East Asia (66.67%; 95% CI, 56.68-75.35%). Alcohol consumption, cirrhosis, and college education significantly increased risk of depression in patients with HCC.

CONCLUSION

One in four patients with HCC have depression, while one in five have anxiety. Further studies are required to validate these findings, as seen from the wide CIs in certain subgroup analyses. Screening strategies for depression and anxiety should also be developed for patients with HCC.

A Review of the Effectiveness, Feasibility, and Acceptability of Art Therapy for Children and Adolescents during the COVID-19 Pandemic

Art therapy has been widely offered to reduce symptoms of psychological disturbance. Pooled evidence about its effectiveness in epidemic contexts, particularly during the COVID-19 pandemic, has not been yet established. This study reviewed the effectiveness, feasibility, and acceptability of art therapy on children and adolescents during the COVID-19 pandemic and past epidemics. We searched PubMed/Medline, PsycINFO, CENTRAL (Cochrane Library), and CINAHL for articles on art therapy during COVID-19. Included studies reported improvements in measures of mental health, sleep quality, and psychological well-being in children with or without disabilities in the epidemic context. Results also showed that art therapy was highly feasible and accepted by children and adolescents as well as their families during epidemics in reviewed studies. Art therapy can be effective at improving various aspects of mental health, sleep quality, and psychological well-being. More empirical evidence is needed with larger sample sizes and longer duration of interventions.

Machine Learning in Health Promotion and Behavioral Change: Scoping Review

Background

Despite health behavioral change interventions targeting modifiable lifestyle factors underlying chronic diseases, dropouts and nonadherence of individuals have remained high. The rapid development of machine learning (ML) in recent years, alongside its ability to provide readily available personalized experience for users, holds much potential for success in health promotion and behavioral change interventions.

Objective

The aim of this paper is to provide an overview of the existing research on ML applications and harness their potential in health promotion and behavioral change interventions.

Methods

A scoping review was conducted based on the 5-stage framework by Arksey and O’Malley and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews) guidelines. A total of 9 databases (the Cochrane Library, CINAHL, Embase, Ovid, ProQuest, PsycInfo, PubMed, Scopus, and Web of Science) were searched from inception to February 2021, without limits on the dates and types of publications. Studies were included in the review if they had incorporated ML in any health promotion or behavioral change interventions, had studied at least one group of participants, and had been published in English. Publication-related information (author, year, aim, and findings), area of health promotion, user data analyzed, type of ML used, challenges encountered, and future research were extracted from each study.

Results

A total of 29 articles were included in this review. Three themes were generated, which are as follows: (1) enablers, which is the adoption of information technology for optimizing systemic operation; (2) challenges, which comprises the various hurdles and limitations presented in the articles; and (3) future directions, which explores prospective strategies in health promotion through ML.

Conclusions

The challenges pertained to not only the time- and resource-consuming nature of ML-based applications, but also the burden on users for data input and the degree of personalization. Future works may consider designs that correspondingly mitigate these challenges in areas that receive limited attention, such as smoking and mental health.

Motivational Interviewing to Improve the Uptake of Colorectal Cancer Screening: A Systematic Review and Meta-Analysis

Introduction

Colorectal cancer screening when done early can significantly reduce mortality. However, screening compliance is still lower than expected even in countries with established screening programs. Motivational interviewing is an approach that has been explored to promote behavioral change including screening compliance. This review synthesizes the efficacy of motivational interviewing in promoting uptake of colorectal screening modalities and is the only review so far that examines motivational interviewing for colorectal cancer screening alone.

Methods

A systematic review and meta-analysis was conducted to examine the effects of motivational interviewing for colorectal cancer screening. PubMed, EMBASE, CENTRAL, PsycINFO, and CINAHL were searched to identify eligible studies from inception to June 2021 and selection criteria was defined. Risk of bias was assessed using the Cochrane Risk of Bias 2.0 tool. The DerSimonian and Laird random effects model was used in the statistical analysis for studies included in the meta-analysis.

Results

Fourteen studies from 14 randomized-controlled trials with a low to moderate risk of bias were analyzed. 8 studies in the systematic review showed that motivational interviewing is superior to a control group. Meta-analysis was conducted on 11 studies and showed that motivational interviewing is statistically significant in increasing colorectal cancer screening rates in both intention-to-treat and per-protocol analysis. Timing of data collection of colorectal cancer screening rates did not make a significant difference to the efficacy of motivational interviewing. Studies that offered and accepted a mixture of colorectal screening modalities such as colonoscopy and fecal immunochemical tests were significantly more likely to have favorable colorectal screening outcomes. Heterogeneity in intervention was noted between studies, specifically differences in the training of interventionists, intervention delivery and comparator components.

Conclusion

Motivational interviewing is a tailored intervention demonstrating mixed evidence in improving colorectal cancer screening attendance amongst individuals. More research is needed to rigorously compare the effect of motivational interviewing alone vs. in combination with other screening promotion strategies to enhance colorectal cancer screening compliance.

The longitudinal psychological, physical activity, and financial impact of a COVID-19 lockdown on older adults in Singapore: The PIONEER-COVID population-based study

BACKGROUND

Several countries have implemented 'lockdown' measures to curb the spread of the coronavirus disease 2019 (COVID-19).

AIMS

To examine the psychological, physical activity (PA), and financial impact of a 2-month COVID-19 lockdown on older adults aged ≥60 years in Singapore, and to identify factors associated with adverse lockdown-related outcomes.

METHOD

We interviewed 496 community-dwelling adults (mean age [standard deviation]: 73.8 [7.6] years; 54.8% female) during the lockdown who had previously participated in a population-based epidemiological study. Validated questionnaires were utilised to assess loneliness and depressive symptoms at both timepoints, while inhouse questionnaires were used to assess PA and financial difficulty during lockdown. Multivariable regression models determined the lockdown-related change in loneliness and depression scores, and the factors associated with adverse outcomes.

RESULTS

Loneliness increased significantly during the lockdown period (p < 0.001) while depressive symptoms decreased (p = 0.022). Decreased PA, greater financial problems, male gender, Indian ethnicity, living alone, having a greater body mass index and perceived susceptibility to COVID-19 were all associated with worsening loneliness scores. A total of 36.9% and 19.6% participants reported decreased PA and had financial problems during the lockdown, respectively. Unemployment was associated with decreased PA, while self-employed individuals, cleaners, retail workers and smokers had greater odds of experiencing financial difficulty.

CONCLUSION

Despite a decrease in depressive symptoms, our population of older Asians reported a significant increase in loneliness and decreased PA, with one-fifth experiencing financial problems during lockdown. Our data suggest that more targeted public health efforts are needed to reduce repercussions of future lockdowns.

A Systematic Review of Youth and Teen Mental Health First Aid: Improving Adolescent Mental Health

PURPOSE

Adolescent mental illness often goes undetected. Youth and teen Mental Health First Aid (MHFA) are variations of adult MHFA that aims to help adults and adolescents recognize the signs and provide help where appropriate. We conducted a systematic review to summarize the current evidence for youth and teen MHFA, providing direction for future training and research.

METHODS

A systematic search was performed on September 12, 2020 on PubMed, Embase, PsycINFO, ERIC, and Cochrane using keywords related to teen or youth MHFA, adolescents, and mental health. A narrative synthesis was then carried out.

RESULTS

Of the 695 articles identified, 14 studies were included. All studies were from the U.S. and Australia. All studies demonstrated significant improvements in knowledge, recognition, stigmatizing attitudes, confidence, helping intentions, and helping behavior in both adult and youth participants. Improvement in knowledge and confidence was most reported, and improvement in helping behavior was the least reported. There is encouraging evidence of long-term benefits after the training.

CONCLUSIONS

More studies need to be conducted in non-Western countries, high-risk populations, and different professional settings. Future interventions could also consider different modes of learning, longer-term follow-up, and the measurement of outcomes that evaluate the quality of helping behavior.

Decreased Serum Brain-Derived Neurotrophic Factor (BDNF) Levels in Patients with Alzheimer's Disease (AD): A Systematic Review and Meta-Analysis

Findings from previous studies reporting the levels of serum brain-derived neurotrophic factor (BDNF) in patients with Alzheimer's disease (AD) and individuals with mild cognitive impairment (MCI) have been conflicting. Hence, we performed a meta-analysis to examine the aggregate levels of serum BDNF in patients with AD and individuals with MCI, in comparison with healthy controls. Fifteen studies were included for the comparison between AD and healthy control (HC) (n = 2067). Serum BDNF levels were significantly lower in patients with AD (SMD: -0.282; 95% confidence interval [CI]: -0.535 to -0.028; significant heterogeneity: I² = 83.962). Meta-regression identified age (p < 0.001) and MMSE scores (p < 0.001) to be the significant moderators that could explain the heterogeneity in findings in these studies. Additionally, there were no significant differences in serum BDNF levels between patients with AD and MCI (eight studies, n = 906) and between MCI and HC (nine studies, n = 5090). In all, patients with AD, but not MCI, have significantly lower serum BDNF levels compared to healthy controls. This meta-analysis confirmed the direction of change in serum BDNF levels in dementia. This finding suggests that a significant change in peripheral BDNF levels can only be detected at the late stage of the dementia spectrum. Molecular mechanisms, implications on interventional trials, and future directions for studies examining BDNF in dementia were discussed.

Training in Place-Value Concepts Improves Children's Addition Skills

The present study examined whether children's variation in arithmetic performance was related to differences in their understanding of place-value. Training in place-value concepts was provided to a group of Chinese children who were poor in arithmetic. Their performance before and after the training was compared to that of the children in two control groups. The results showed that there were reliable connections between place-value understanding and addition and subtraction skills. Furthermore, training in place-value concepts was found to be effective in enhancing the children's place-value understanding and addition skills. Implications for instructions in arithmetic were discussed. Copyright 1997Academic Press