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JMIR Mental Health Jun 2024Text-based digital media platforms have revolutionized communication and information sharing, providing valuable access to knowledge and understanding in the fields of... (Review)
Review
BACKGROUND
Text-based digital media platforms have revolutionized communication and information sharing, providing valuable access to knowledge and understanding in the fields of mental health and suicide prevention.
OBJECTIVE
This systematic review aimed to determine how machine learning and data analysis can be applied to text-based digital media data to understand mental health and aid suicide prevention.
METHODS
A systematic review of research papers from the following major electronic databases was conducted: Web of Science, MEDLINE, Embase (via MEDLINE), and PsycINFO (via MEDLINE). The database search was supplemented by a hand search using Google Scholar.
RESULTS
Overall, 19 studies were included, with five major themes as to how data analysis and machine learning techniques could be applied: (1) as predictors of personal mental health, (2) to understand how personal mental health and suicidal behavior are communicated, (3) to detect mental disorders and suicidal risk, (4) to identify help seeking for mental health difficulties, and (5) to determine the efficacy of interventions to support mental well-being.
CONCLUSIONS
Our findings show that data analysis and machine learning can be used to gain valuable insights, such as the following: web-based conversations relating to depression vary among different ethnic groups, teenagers engage in a web-based conversation about suicide more often than adults, and people seeking support in web-based mental health communities feel better after receiving online support. Digital tools and mental health apps are being used successfully to manage mental health, particularly through the COVID-19 epidemic, during which analysis has revealed that there was increased anxiety and depression, and web-based communities played a part in reducing isolation during the pandemic. Predictive analytics were also shown to have potential, and virtual reality shows promising results in the delivery of preventive or curative care. Future research efforts could center on optimizing algorithms to enhance the potential of text-based digital media analysis in mental health and suicide prevention. In addressing depression, a crucial step involves identifying the factors that contribute to happiness and using machine learning to forecast these sources of happiness. This could extend to understanding how various activities result in improved happiness across different socioeconomic groups. Using insights gathered from such data analysis and machine learning, there is an opportunity to craft digital interventions, such as chatbots, designed to provide support and address mental health challenges and suicide prevention.
Topics: Humans; Machine Learning; Suicide Prevention; Mental Health; Social Media; Data Analysis
PubMed: 38935419
DOI: 10.2196/55747 -
Archivio Italiano Di Urologia,... Jun 2024Erectile dysfunction can cause self-withdrawal and decreased quality of life. Patients who do not respond to pharmacological therapy and other conservative treatments... (Comparative Study)
Comparative Study Meta-Analysis
INTRODUCTION
Erectile dysfunction can cause self-withdrawal and decreased quality of life. Patients who do not respond to pharmacological therapy and other conservative treatments are urged to undergo penile prosthesis implantation. Malleable penile prosthesis was the first prosthesis developed, but then inflatable penile prosthesis was developed to give a more natural erection. There is no meta-analysis comparing inflatable and malleable penile prostheses in terms of safety and efficacy. This study is conducted to evaluate patient and partner satisfaction, ease of use, mechanical failure, and infection rate in patients who underwent penile prosthesis implantation.
METHOD
This meta-analysis followed Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) protocols. Five eligible studies were included from Pubmed, Scopus, ScienceDirect, and SemanticScholar databases.
RESULT
In this study, patient and partner satisfaction are significantly better (OR 3.39, 95% CI 1.66-6.93, p = 0.0008) (OR 2.32, 95% CI 1.75-3.08, p < 0.00001). Mechanical failure is also significantly higher in inflatable penile prostheses (OR 5.60, 95% CI 2.02-15.53, p = 0.0009). There is no significant difference in terms of ease of use and infection rate in inflatable or malleable penile prostheses.
CONCLUSIONS
This study concluded that inflatable penile prosthesis is better in terms of patient and partner satisfaction, but mechanical failures occur more frequently in this type of prosthesis.
Topics: Humans; Male; Erectile Dysfunction; Penile Prosthesis; Patient Satisfaction; Prosthesis Design; Penile Implantation; Treatment Outcome; Quality of Life; Prosthesis Failure
PubMed: 38934528
DOI: 10.4081/aiua.2024.12353 -
Medicina (Kaunas, Lithuania) Jun 2024: Radicalization, a complex and multifaceted phenomenon, has been a subject of increasing concern in recent years, particularly due to its potential connection to acts... (Review)
Review
: Radicalization, a complex and multifaceted phenomenon, has been a subject of increasing concern in recent years, particularly due to its potential connection to acts of mass violence and terrorism. This systematic review examines the intricate link between radicalization and psychotic disorders, utilizing various sources such as observational studies, case reports, and series. It aims to highlight the prevalence of schizophrenia spectrum and other psychotic disorders among radicalized individuals and to define the role of mental health professionals in dealing with this issue, contributing to the development of prevention and treatment strategies. : The methodology involved an extensive literature search across PubMed, Scopus, and APA PsycINFO up to 1 February 2024, adhering to PRISMA guidelines. The study focused on radicalization and psychotic disorders as defined by DSM-5 criteria, excluding other mental disorders. A population sample of 41 radicalized individuals diagnosed with psychotic disorders was selected, among which schizophrenia was identified as the predominant condition. : It was observed that 24% of these individuals passed away soon after committing their crimes, leading the researchers to rely on retrospective data for their diagnoses. The use of diverse assessment tools for psychiatric diagnosis and the lack of a standardized method for diagnosing or assessing involvement in the radicalization process were also noted. Despite limitations like reliance on observational studies and case reports, which result in low evidence quality and varied methodologies, our work provides a valuable contribution to clarifying the relationship between radicalization and psychotic disorders. However, further clinical studies are needed to delve deeper into these aspects. : In conclusion, our review points out that individuals with psychotic disorders do not have a higher crime rate than the general population and warns against associating crimes with mental illness due to the stigma it creates. The lack of uniform psychiatric diagnostic tools and radicalization assessment highlights the need for more standardized risk assessment tools and validated scales in psychiatric diagnosis to better understand the relationship between radicalization and psychotic disorders and to develop integrated protocols.
Topics: Humans; Psychotic Disorders; Schizophrenia; Terrorism
PubMed: 38929543
DOI: 10.3390/medicina60060926 -
International Journal of Environmental... Jun 2024Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder that is typically managed with pharmacological and psychotherapeutic... (Review)
Review
Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder that is typically managed with pharmacological and psychotherapeutic interventions. In the general population, exposure to nature has been found to have robust beneficial effects on cognitive performance, including attention. With inattention being a factor of the symptomatology of individuals with ADHD, this provides a rationale to investigate the potential benefits of exposure to nature for this population. Four electronic databases (PubMED, PsycINFO, Embase, and Web of Science) were searched for empirical studies investigating the effects of nature on ADHD prevalence and/or symptom severity in populations of school-aged children. Key characteristics, methodologies, and outcomes of included studies were extracted and evaluated. Out of the 458 studies identified, 7 met the inclusion criteria. Despite the large heterogeneity in methodological approaches, the included articles consistently reported that exposure to nature is associated with reduced ADHD diagnoses and symptom severity. Furthermore, when several covariates, such as age, gender, annual household income, parental income, and education level, as well as several pre-natal factors, were controlled for, the relationship between nature and ADHD remained significant. The reviewed literature provides strong support for the benefits of exposure to nature on ADHD in school-aged children.
Topics: Attention Deficit Disorder with Hyperactivity; Humans; Child
PubMed: 38928982
DOI: 10.3390/ijerph21060736 -
International Journal of Molecular... Jun 2024Fluoxetine, a commonly prescribed medication for depression, has been studied in Alzheimer's disease (AD) patients for its effectiveness on cognitive symptoms. The aim... (Review)
Review
Fluoxetine, a commonly prescribed medication for depression, has been studied in Alzheimer's disease (AD) patients for its effectiveness on cognitive symptoms. The aim of this systematic review is to investigate the therapeutic potential of fluoxetine in cognitive decline in AD, focusing on its anti-degenerative mechanisms of action and clinical implications. According to PRISMA, we searched MEDLINE, up to 1 April 2024, for animal and human studies examining the efficacy of fluoxetine with regard to the recovery of cognitive function in AD. Methodological quality was evaluated using the ARRIVE tool for animal AD studies and the Cochrane tool for clinical trials. In total, 22 studies were analyzed (19 animal AD studies and 3 clinical studies). Fluoxetine promoted neurogenesis and enhanced synaptic plasticity in preclinical models of AD, through a decrease in Aβ pathology and increase in BDNF, by activating diverse pathways (such as the DAF-16-mediated, TGF-beta1, ILK-AKT-GSK3beta, and CREB/p-CREB/BDNF). In addition, fluoxetine has anti-inflammatory properties/antioxidant effects via targeting antioxidant Nrf2/HO-1 and hindering TLR4/NLRP3 inflammasome. Only three clinical studies showed that fluoxetine ameliorated the cognitive performance of people with AD; however, several methodological issues limited the generalizability of these results. Overall, the high-quality preclinical evidence suggests that fluoxetine may have neuroprotective, antioxidant, and anti-inflammatory effects in AD animal models. While more high-quality clinical research is needed to fully understand the mechanisms underlying these effects, fluoxetine is a promising potential treatment for AD patients. If future clinical trials confirm its anti-degenerative and neuroprotective effects, fluoxetine could offer a new therapeutic approach for slowing down the progression of AD.
Topics: Fluoxetine; Alzheimer Disease; Humans; Animals; Cognitive Dysfunction; Disease Models, Animal; Neurogenesis; Neuronal Plasticity
PubMed: 38928248
DOI: 10.3390/ijms25126542 -
BMC Geriatrics Jun 202440-60% of persons living with dementia (PLWD) experience agitation and/or aggression symptoms. There is a need to understand the best method to detect agitation and/or...
OBJECTIVE
40-60% of persons living with dementia (PLWD) experience agitation and/or aggression symptoms. There is a need to understand the best method to detect agitation and/or aggression in PLWD. We aimed to identify agitation and/or aggression tools that are validated against a reference standard within the context of PLWD.
METHODS
Our study was registered on PROSPERO (CRD42020156708). We searched MEDLINE, Embase, and PsycINFO up to April 22, 2024. There were no language or date restrictions. Studies were included if they used any tools or questionnaires for detecting either agitation or aggression compared to a reference standard among PLWD, or any studies that compared two or more agitation and/or aggression tools in the population. All screening and data extraction were done in duplicates. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. Data extraction was completed in duplicates by two independent authors. We extracted demographic information, prevalence of agitation and/or aggression, and diagnostic accuracy measures. We also reported studies comparing the correlation between two or more agitation and/or aggression tools.
RESULTS
6961 articles were screened across databases. Six articles reporting diagnostic accuracy measures compared to a reference standard and 30 articles reporting correlation measurements between tools were included. The agitation domain of the Spanish NPI demonstrated the highest sensitivity (100%) against the agitation subsection of the Spanish CAMDEX. Single-study evidence was found for the diagnostic accuracy of commonly used agitation scales (BEHAVE-AD, NPI and CMAI).
CONCLUSIONS
The agitation domain of the Spanish NPI, the NBRS, and the PAS demonstrated high sensitivities, and may be reasonable for clinical implementation. However, a limitation to this finding is that despite an extensive search, few studies with diagnostic accuracy measurements were identified. Ultimately, more research is needed to understand the diagnostic accuracy of agitation and/or aggression detection tools among PLWD.
Topics: Humans; Aggression; Psychomotor Agitation; Dementia
PubMed: 38926638
DOI: 10.1186/s12877-024-05143-6 -
Healthcare (Basel, Switzerland) Jun 2024(1) Background: While medication and various forms of psychotherapy are common treatments for severe mental illness, peer support programs have also proven to be... (Review)
Review
(1) Background: While medication and various forms of psychotherapy are common treatments for severe mental illness, peer support programs have also proven to be effective in managing mental disorders. These programs, which involve individuals with similar experiences in navigating mental health challenges, aim to improve coping skills and foster supportive community networks. However, despite the prevalent mention of peer support programs, especially those with supervision, there has been no systematic review or meta-analysis of peer support supervision. This study aimed to systematically review and meta-analyze the forms and effectiveness of peer support programs for individuals with severe mental illnesses. (2) Methods: A literature search focusing on randomized controlled trials (RCTs) published between February 2003 and January 2024 was conducted. (3) Results: Sixteen RCTs meeting the inclusion criteria and involving a total of 4008 participants were reviewed. These studies utilized various peer support program strategies, with eight studies included in the qualitative analysis. The combined effect sizes for depressive symptoms (d = 0.12; 95% CI, -0.14, 0.37; = 0.37), empowerment (d = 1.17; 95% CI, -0.81, 3.15; = 0.25), quality of life (d = 0.70; 95% CI, -0.12, 1.52; = 0.09), psychiatric symptoms (d = -0.05; 95% CI, -0.20, 0.10; = 0.54), and self-efficacy (d = 0.20; 95% CI, 0.05, 0.36; = 0.01) were assessed. (4) Conclusions: Our analysis emphasizes the need for further studies on peer support programs for individuals with severe mental illness, particularly those focused on self-efficacy outcomes across diverse geographic locations involving more countries and with larger scales to bolster the strength of the evidence.
PubMed: 38921293
DOI: 10.3390/healthcare12121179 -
BMC Nursing Jun 2024Mental illness stigma is often common among mentally ill patients. This stigma can come from others or the patients themselves, which is called 'self-stigma'. The...
BACKGROUND
Mental illness stigma is often common among mentally ill patients. This stigma can come from others or the patients themselves, which is called 'self-stigma'. The present study explored the widespread impacts of self-stigma on adult patients with depression. Additionally, this review compared the severity of self-stigma levels among psychiatric disorders and to review and update thoughts about self-stigma of depression.
METHODS
An etiology and risk systematic review was conducted using the Joanna Briggs Institute (JBI) approach as a guideline. The search process was performed via research databases including MEDLINE, EMBASE and CINAHL. The inclusion criteria are studies include participants diagnosed with depressive disorders, both genders, participants' exposure to mental illness self-stigma, participants' experience of self-stigma consequences and any geographical site or clinical settings are included, the type of the included studies must be observational studies. The included studies were limited to the English language studies that were published from 2016 and onwards. Patients with depression under the age of eighteen and patients diagnosed with multiple mental illnesses were excluded. The JBI critical appraisal checklist were adopted to assess the risk of bias.
RESULTS
In December 2022, a comprehensive search yielded eight cross-sectional studies that were included in this systematic review, involving a total of 783 patients diagnosed with depression, and 28 studies were excluded for not fulfilling the inclusion criteria of the review. The findings were extracted and synthesized through textual narrative synthesis into three main categories negatively affected by self-stigma of depression. These are: (1) the impact on the quality of life, (2) the impact on self-esteem and (3) the impact on self-worth. Moreover, in regard to the comparison of self-stigma levels among psychiatric disorders, self-stigma for people with schizophrenia was higher than self-stigma of depression.
CONCLUSION
Self-stigma of depression has negatively impacted multiple aspects of the patient's life. Thus, the review brings the following recommendations: increase community awareness, educate the healthcare providers, include the topic of mental illness stigma in academic curriculums. The main limitation of the review is the limited number of included studies.
TRIAL REGISTRATION
The research proposal for this review has been registered to Prospero (ID number: CRD42022366555).
PubMed: 38918754
DOI: 10.1186/s12912-024-02047-z -
PloS One 2024To review published Physical Activity (PA) on the Mental Health of Children and Adolescents aged 5 to 18 years during COVID-19 pandemic-induced school closures.
PROPOSE
To review published Physical Activity (PA) on the Mental Health of Children and Adolescents aged 5 to 18 years during COVID-19 pandemic-induced school closures.
METHODS
From the database creation to April 2022, 10 databases are retrieved, with 4427 records filtered, 14 included in this research. The research takes Agency for Healthcare Research and Quality (AHRQ) evaluation standards.
RESULTS
The thesis selects 14 studies from 6 countries, involving 400009 children and adolescents. These studies happened during the lockdown of COVID-19 (from December 2019 to April 2021). During the lockdown of COVID-19, schools were closed, which was considered part of a more extensive lockdown. Schools were closed for 1 to 4 weeks. There were 10 high quality studies (71.4%) and 4 medium quality studies (28.6%). 4 studies report that the pandemic reduces the time of PA but increases the time of watching screen and sitting. 10 studies (71.4%) identify that PA is positive for the mental health, because it helps reduce mental symptoms to a certain extent, especially anxiety, depression, and emotional disorders. 5 studies show that PA may not improve the mental health of children and adolescents under 12 during the pandemic. 4 studies indicate that the influence of PA on mental health of children and adolescents is determined by the amount of activity, including the extent, intensity, frequency, and duration, etc.
CONCLUSIONS
In this narrative synthesis of reports from the class suspension period, reports that PA has a improve on the mental health of children and adolescents to a certain extent. it is found that PA may be helpful in reducing mental health symptoms of children and adolescents who are influenced by class suspension because of the COVID-19 pandemic. Therefore, stakeholders of the mental health of children and adolescents around the world should recommend PA because it is a practicable and beneficial way for long-term mental support.
Topics: Humans; COVID-19; Child; Adolescent; Mental Health; Exercise; Schools; Pandemics; SARS-CoV-2; Child, Preschool; Anxiety; Quarantine
PubMed: 38917211
DOI: 10.1371/journal.pone.0299158 -
PloS One 2024The Neutrophil-to-Lymphocyte Ratio (NLR) is a clinical indicator of peripheral inflammation that is easily accessible. It is worth noting that the formation of... (Meta-Analysis)
Meta-Analysis
BACKGROUND
The Neutrophil-to-Lymphocyte Ratio (NLR) is a clinical indicator of peripheral inflammation that is easily accessible. It is worth noting that the formation of amyloid-β (Aβ) plaques and neurofibrillary tangles has been linked to inflammation and immune dysregulation. The main objective of this systematic review and meta-analysis is to comprehensively evaluate the existing body of research concerning the NLR in the context of Alzheimer's disease (AD) and mild cognitive impairment (MCI).
METHOD
We conducted a comprehensive online search and included studies that evaluated the NLR in 1) patients with AD or MCI and 2) healthy control (HC) participants. We also pooled mean and standard deviation (SD) data for each group.
RESULTS
Ultimately, 12 studies encompassed 1,309 individuals diagnosed with AD with mean NLR levels of 2.68, 1,929 individuals with MCI with mean NLR levels of 2.42, and 2,064 HC with mean NLR levels of 2.06 were included in this systematic review and meta-analysis. The mean NLR was 0.59 higher in AD patients compared to HC participants (mean difference (MD) = 0.59 [0.38; 0.80]). Similarly, the mean NLR was higher in AD than MCI patients (MD = 0.23 [0.13; 0.33]). Additionally, the mean NLR was higher in individuals with MCI compared to HC participants (MD = 0.37 [0.22; 0.52]). In the subgroup meta-analysis based on the Mini-Mental State Examination (MMSE), AD patients with lower MMSE scores (using a cut-off of 20) exhibited significantly higher mean NLR (3.10 vs. 2.70, with a p-value for subgroup differences < 0.01).
CONCLUSION
The NLR, which serves as a marker of peripheral inflammation, shows increased levels in individuals with AD and MCI compared to HC participants. Furthermore, our study indicates that NLR levels are significantly higher in AD than MCI. Additionally, our novel finding suggests significantly higher NLR levels among AD patients with more severe cognitive decline compared to AD patients with less severe cognitive decline. So, it can be concluded that the higher cognitive decline in humans is accompanied by higher NLR levels. Further longitudinal researches are needed to explore more details about the relationship between inflammation and dementia.
Topics: Alzheimer Disease; Humans; Neutrophils; Lymphocytes; Cognitive Dysfunction; Lymphocyte Count
PubMed: 38917167
DOI: 10.1371/journal.pone.0305322