Social media use and its impact on adult's mental health and well-being: A scoping review.

BACKGROUND: Social media use has grown in importance and prevalence, with its estimated number of users at 4.9 billion worldwide. Social media use research has revealed positive and negative impacts on users' mental health and well-being. However, such impacts among adults have not been examined in any reviews. METHODS: A scoping review was conducted based on the framework by Arksey and O'Malley and reported based on the PRISMA-ScR guidelines. Eight databases were searched from 2005 to December 2021. Articles were included after being reviewed by three independent teams, with discrepancies resolved through consensus with the senior author. Publication-related information (i.e., authors, year of publication, aims, study population, methodology, interventions, comparisons, outcome measures and key findings) were extracted from each study. Thematic analysis was conducted to answer the research questions. RESULTS: Among the 114 eligible articles, young adults (69.6%) represented the main age group. Most studies (78.6%) focused on the negative impacts of social media use on mental health and well-being, with nearly a third (32.1%) assessing such impacts on depression. Notably, this scoping review found that more than three-quarters (78.6%) of the included studies revealed that excessive and passive social media use would increase depression, anxiety, mood, and loneliness. Nevertheless, a third (33.0%) also reported positive impacts, where positive and purposeful use of social media would contribute to improvements in mental health and well-being, such as increased perceived social support and enjoyment. LINKING EVIDENCE TO ACTION: This review has provided an overview of the existing knowledge on how social media use would affect adults and identified areas of research that merit investigations in future studies. More attention should be given to maximizing the positive impacts of social media use on mental health and well-being among adults.

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.

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.

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.

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.

Severity and Longitudinal Course of Depression, Anxiety and Post-Traumatic Stress in Paediatric and Young Adult Cancer Patients: A Systematic Review and Meta-Analysis.

BACKGROUND: A diagnosis of cancer and treatment may constitute a highly traumatic period for paediatric cancer patients (PYACPs). However, no review has comprehensively analysed how the mental health of PYACPs is acutely affected and the longitudinal course. METHODS: This systematic review followed PRISMA guidelines. Comprehensive searches of databases were conducted to identify studies of depression, anxiety and post-traumatic stress symptoms in PYACPs. Random effects meta-analyses were used for the primary analysis. RESULTS: From 4898 records, 13 studies were included. Acutely after diagnosis, depressive and anxiety symptoms were significantly elevated in PYACPs. Depressive symptoms only significantly decreased after 12 months (standardised mean difference, SMD = -0.88; 95% CI: -0.92, -0.84). This downward trajectory persisted to 18 months (SMD = -1.862; 95% CI: -1.29, -1.09). Anxiety symptoms similarly only decreased after 12 (SMD = -0.34; 95% CI: -0.42, -0.27) up to 18 months (SMD = -0.49; 95% CI: -0.60, -0.39) after the cancer diagnosis. Post-traumatic stress symptoms showed protracted elevations throughout follow-up. Overall, significant predictors of poorer psychological outcomes included unhealthy family functioning, concomitant depression or anxiety, poor cancer prognosis or experiencing cancer and treatment-related side effects. CONCLUSIONS: While depression and anxiety may improve over time with a favourable environment, post-traumatic stress may have a protracted course. Timely identification and psycho-oncological intervention are critical.

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.

Depression and anxiety in older adults with cancer: Systematic review and meta-summary of risk, protective and exacerbating factors.

OBJECTIVE: To systematically evaluate the risk factors of depression and anxiety in older adults with cancer. METHOD: This PRISMA-adherent systematic review (PROSPERO CRD42022372747) involved a systematic database search for prospective and retrospective cohort studies. RESULTS: We included 33 cohort studies with 31 evaluating depression and seven evaluating anxiety. Systematic synthesis yielded various protective and exacerbating factors for depression and anxiety amongst older adults with cancer. These factors span a range of domains: (1) Cancer and associated treatment-related factors; (2) Medical, physical and functional factors; (3) Demographic factors and; (4) Social and lifestyle factors. At the individual-level, the most significant factors were the presence of chronic medical comorbidities, having pre-existing psychological symptoms, and poor baseline physical and functional status. Within the social unit, the degree of social support and presence of a partner were most significant. CONCLUSION: The deleterious impact comorbid psychological symptoms can have on older adults with cancer can be profound. In this review, we highlight a range of protective and exacerbating factors identified from cohort studies that may enable policymakers to tailor and individualise interventions to manage depression, anxiety and associated burden in this vulnerable population. The relative paucity of studies evaluating anxiety highlights an important research gap.

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.

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.

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.

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.

Suicidal behaviours among Ugandan university students: a cross-sectional study.

BACKGROUND: Suicide remains the leading cause of death among university students often resulting from multiple physical and psychological challenges. Moreover, suicidal behaviours among students appear to have increased due to the COVID-19 pandemic according to some studies. OBJECTIVE: To explore the prevalence and associated factors for suicidal ideation, suicide plans, and suicide attempts among university students in Uganda. METHODS: Cross-sectional study data were collected from May to September 2021 from 540 undergraduate university students in south-western Uganda (363 males, mean age 23.3 years). Questions from the General Health Questionnaire (GHQ-28) were used to assess suicidal ideation, while other bespoke questions were used to assess suicide plans and attempts. The survey also investigated the suicide attempt/plan method, location of the suicidal activity, and reason for not enacting the suicide plan. Three independent regression analyses were used to determine the factors associated with different forms of suicidal behaviours. RESULTS: The prevalence of past-year suicidal behaviours was 31.85% for suicidal ideation, 8.15% for suicide plans, and 6.11% for suicide attempts. Having a chronic physical medical condition increased the likelihood of having all forms of suicidal behaviours. Suicidal ideation was associated with having difficulty paying university tuition fees. However, being in the fifth year of university education, and feeling satisfied with current academic grades reduced the likelihood of suicidal ideation. Individuals feeling satisfied with academic performance appeared to be a protective factor against having suicide plans. Suicide attempts were associated with having a history of sexual abuse and having difficulty paying university tuition fees. The most common method used for attempted suicide was a drug overdose, and the most common location for attempted suicide was their homes. CONCLUSION: University students have prevalent suicide behaviours especially among students with a chronic physical medical condition, a history of sexual abuse, and problems paying university tuition fees. Based on the present study, for students at risk, universities should provide appropriate interventions such as life skills education and suicide prevention techniques.

Vitamin E, Alpha-Tocopherol, and Its Effects on Depression and Anxiety: A Systematic Review and Meta-Analysis.

BACKGROUND: Recently, it has been discovered that anti-inflammatory and anti-oxidative pathways play a role in depression and anxiety. Lower serum levels of antioxidants, such as vitamin E, have been implicated in both depression and anxiety. METHODS: This PROSPERO-registered systematic review (Reference: CRD42021260058) is reported according to PRISMA guidelines. PubMed, EMBASE, CENTRAL, PsycINFO, and CINAHL were searched from inception to June 2021. RESULTS: Twelve studies were included in this systematic review, and nine in meta-analysis of vitamin E versus placebo. For depression, meta-analysis of 354 participants showed a standardised mean difference of -0.88 (95% CI: -1.54, -0.21; I2 = 87%) favouring vitamin E. For anxiety, meta-analysis of 306 participants showed a standardised mean difference of -0.86 (95% CI: -2.11, 0.40; I2 = 95%) favouring vitamin E. Three of the studies involved a pure comparison of vitamin E against placebo, while others included constituents such as omega-3 fatty acids. Nine of the studies were at low risk of bias, two had some concerns, and one was at high risk of bias. CONCLUSION: Vitamin E supplementation has shown inconclusive results in ameliorating both depression and anxiety. Containing a reassuring safety profile and low cost, future studies would be of promise, and they would benefit from both larger sample sizes and from excluding other constituents, such as omega-3 fatty acids, from experimental and comparator arms.