Chronic Mental Health Disorders Research Articles

Schizophrenia Detection and Classification: A Systematic Review of the Last Decade

Background/Objectives: Artificial Intelligence (AI) in healthcare employs advanced algorithms to analyze complex and large-scale datasets, mimicking aspects of human cognition. By automating decision-making processes based on predefined thresholds, AI enhances the accuracy and reliability of healthcare data analysis, reducing the need for human intervention. Schizophrenia (SZ), a chronic mental health disorder affecting millions globally, is characterized by symptoms such as auditory hallucinations, paranoia, and disruptions in thought, behavior, and perception. The SZ symptoms can significantly impair daily functioning, underscoring the need for advanced diagnostic tools. Methods: This systematic review has been conducted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines and examines peer-reviewed studies from the last decade (2015–2024) on AI applications in SZ detection as well as classification. The review protocol has been registered in the International Prospective Register of Systematic Reviews (PROSPERO) under registration number: CRD42024612364. Research has been sourced from multiple databases and screened using predefined inclusion criteria. The review evaluates the use of both Machine Learning (ML) and Deep Learning (DL) methods across multiple modalities, including Electroencephalography (EEG), Structural Magnetic Resonance Imaging (sMRI), and Functional Magnetic Resonance Imaging (fMRI). The key aspects reviewed include datasets, preprocessing techniques, and AI models. Results: The review identifies significant advancements in AI methods for SZ diagnosis, particularly in the efficacy of ML and DL models for feature extraction, classification, and multi-modal data integration. It highlights state-of-the-art AI techniques and synthesizes insights into their potential to improve diagnostic outcomes. Additionally, the analysis underscores common challenges, including dataset limitations, variability in preprocessing approaches, and the need for more interpretable models. Conclusions: This study provides a comprehensive evaluation of AI-based methods in SZ prognosis, emphasizing the strengths and limitations of current approaches. By identifying unresolved gaps, it offers valuable directions for future research in the application of AI for SZ detection and diagnosis.

What is the dietary intake and nutritional status of defence members: a systematic literature review.

Optimal diet and nutrition is vital for military readiness, performance and recovery. Previous research on military diets has primarily focused on the nutritional composition of field/combat rations and dietary intake during deployment. There is accumulating research exploring the usual free-living dietary intake and nutritional status of defence members in garrison (i.e. military bases on which personnel are stationed). However, no comprehensive review has been conducted to assess the overall dietary quality of defence members internationally. Therefore, this review assessed the diets of military populations against national nutritional guidelines and Military Dietary Reference Intakes (MDRI). A systematic literature review of original research was conducted. CINAHL, Medline (EBSCO), Scopus (Elsevier), PubMed and AMED databases were searched up to the 20/02/2023. A total of thirty-six studies met the inclusion criteria. The overall quality of included studies was high, with a low risk of bias. The diet quality scores indicate poor to fair diet quality among defence members. Defence members display low intakes of fruits, vegetables, wholegrains, seafood, plant protein and nuts and high intakes of added sugars, trans fat and processed meat. Results also indicated suboptimal intake of fibre, essential fatty acids, vitamin A, vitamin E, folate, Mg, Zn and iodine. This may lead to reduced performance, increased risk of chronic diseases and mental health disorders. More research is needed to assess the long-term consequences of poor diet quality in defence members. These results require the attention of policymakers to ensure that military education and food environment is supportive of healthy eating.

Health Impacts of Pre-eclampsia: A Comprehensive Analysis of Maternal and Neonatal Outcomes.

Background and Objectives: Hypertensive disorders, particularly pre-eclampsia, pose significant risks during pregnancy, affecting both maternal and neonatal health. The study aims to analyze short- and long-term health implications for mothers and their children, comparing those with pre-eclampsia to those without, to improve understanding of risk factors, diagnostic markers, and outcomes. Materials and Methods: This retrospective observational study involved 235 patients, 98 with pre-eclampsia and 137 without, monitored from 2015 to 2018 at the Obstetrics and Gynecology Department of the "Pius Brînzeu" Emergency County Clinical Hospital in Timișoara, Romania. Results: Women with pre-eclampsia were older, had higher BMIs, and more frequently had a family history of pre-eclampsia, hypertension, and diabetes. They also had lower educational and socioeconomic levels and fewer prenatal visits. Biochemical markers such as higher proteinuria, elevated sFlt-1, and lower PlGF were significant in diagnosing pre-eclampsia. Short-term maternal complications like eclampsia, HELLP syndrome, and acute kidney injury were more prevalent in the pre-eclampsia group. Neonatal outcomes included higher rates of preterm birth, low birth weight, and NICU admissions. Long-term mothers with a history of pre-eclampsia had higher incidences of chronic hypertension, cardiovascular disease, kidney problems, diabetes, and mental health disorders. Their children faced increased risks of neuropsychological delays, chronic respiratory issues, behavioral disorders, learning difficulties, and frequent infections. Conclusions: The study highlights the significant short- and long-term health impacts of pre-eclampsia on both mothers and their children. Early monitoring, intervention, and comprehensive management are crucial in mitigating these risks. These findings underscore the need for personalized care strategies to improve health outcomes for affected individuals.

An Integrative Review Exploring Womens' Experiences of Retraumatization Within Perinatal Services.

Evidence indicates that retraumatization has a detrimental effect for those women who are accessing perinatal services. One in five women worldwide has a history of childhood adversity. Between 18% and 34% of women experience trauma, which is a well-known risk factor for the onset of chronic mental health disorders. There is a lack of evidence on women's experiences on retraumatization in perinatal care settings and how to prevent retraumatization from occurring. The purpose of this study was to conduct an integrative review on women experiences of retraumatization to determine preventive measures within perinatal services. This integrative review followed Whittemore and Knafl's 5-stage framework as it allows for the inclusion and integration of diverse research methodologies into an overall synthesis of the evidence. A systematic search of 5 databases was conducted (Web of Science, MEDLINE, CINAHL, ASSIA, and PsychINFO) with no date, language, or geographical limits set due to the paucity of research published in this subject area. This review was conducted and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Fifteen studies met the inclusion criteria and were included in the thematic synthesis. The review identified that participants across the studies had a history of child sexual abuse, sexual abuse, and rape. Three main themes plus subthemes were identified: (1) activating (subthemes: positions in labor, intimate procedures, communications with health care professionals, loss of control); (2) outcomes (subtheme: emotional responses); and (3) interventions reducing or preventing retraumatization (subthemes: role of the health care professional, screening for abuse and history of trauma). Our findings demonstrate that women are experiencing retraumatization in perinatal services, and there is evidence of formalized approaches being applied in clinical settings to prevent retraumatization from occurring. This study is the first to examine the factors that contribute to retraumatization in perinatal services and make recommendations to reduce the harmful practices in place in perinatal care settings.

Breaking the cycle: Exploring the relationship of metacognition beliefs, obsessive-compulsive symptoms, and psychosocial performance among individuals diagnosed with schizophrenia.

This research paper explores the intricate relationship between metacognitive dysfunctional beliefs, obsessive-compulsive symptoms, and psychosocial performance in patients diagnosed with schizophrenia. Understanding these dynamics can help mental health nurses identify and address each patient's needs more effectively. It can guide them in devising personalized care plans that not only manage the symptoms but also improve the underlying mechanism that exacerbates the psychotic symptoms and social functioning and the overall quality of life. Moreover, the findings of this research can contribute to developing training programs for mental health nurses, equipping them with the necessary skills and knowledge to provide optimal care. What the paper adds to existing knowledge? • This study provides empirical evidence of the significant positive correlation between OCS and metacognitive dimensions in individuals with schizophrenia. • It highlights the role of certain demographic factors, such as younger age and single marital status, in increasing the likelihood of elevated OCS. • It underscores the inverse relationship between higher metacognitive dysfunctional beliefs and lower levels of psychosocial functioning. • It identifies age and metacognitive scores as crucial predictors of psychosocial functioning across various domains. What are the implications for practice? • The findings suggest that therapeutic nursing interventions for individuals diagnosed with schizophrenia should address metacognitive dysfunctional beliefs to improve overall functioning and well-being. • Clinicians, including psychiatrists and psychiatric nurses, should consider the patient's age, marital status, and metacognitive scores when assessing the risk of elevated OCS and devising treatment plans. • The study emphasizes the need for comprehensive psychiatric nursing assessment, including metacognitive dysfunction and OCS evaluation. What are the implications for future research? • Future research could explore the causal relationships between metacognitive dysfunctional beliefs, OCS, and psychosocial functioning in schizophrenia. • Longitudinal studies could provide insights into the progression of these relationships over time and the impact of therapeutic interventions. • Further research could also investigate the effectiveness of specific therapeutic strategies such as Metacognitive Therapy (MCT), Schema Therapy (ST), Cognitive Enhancement Therapy (CET), and Cognitive Behaviour Therapy (CBT) to address this population's metacognitive dysfunctional beliefs. BACKGROUND: Schizophrenia is a chronic mental health disorder that significantly impacts an individual's cognitive, emotional and social functioning. Recent research has highlighted the role of metacognitive beliefs and obsessive-compulsive symptoms (OCS) in the psychosocial performance of individuals diagnosed with schizophrenia. Understanding these relationships could provide valuable insights for developing more effective nursing interventions. This study aimed to investigate the relationship between metacognitive beliefs, OCS and psychosocial performance among individuals diagnosed with schizophrenia. A cross-sectional survey was conducted involving 174 purposively selected participants diagnosed with schizophrenia. The Meta-Cognitions Questionnaire-30, Young Adult Self-Report Scale for OCS and Specific Level of Functioning Scale were used to gather the necessary data. The study found a significant positive correlation between OCS and metacognitive dimensions. Age was a significant predictor with an Oddis Ratio of 2.471. The metacognitive dysfunction was a highly significant predictor in univariate and multivariate analyses, with Oddis Ratios of 1.087 and 1.106, respectively. The study also discovered that higher levels of metacognitive dysfunctional beliefs were associated with lower levels of psychosocial functioning. Age and the metacognitive dysfunction score were significant predictors of psychosocial functioning scores, accounting for 26.8% of the variance in these scores. The study reveals a compelling inverse relationship between higher metacognitive dysfunctional beliefs and lower levels of psychosocial functioning in individuals diagnosed with schizophrenia. It also identifies certain demographic factors, such as younger age, as significant contributors to elevated OCS. Importantly, metacognitive dysfunction emerged as a critical predictor of psychosocial functioning across various domains. These findings underscore the potential of incorporating metacognitive-focused interventions in the treatment plans for schizophrenia patients. By addressing these cognitive patterns, healthcare professionals can enhance overall functioning and well-being in individuals diagnosed with schizophrenia.

Bidirectional Associations Between Mental Health Disorders and Chronic Diabetic Complications in Individuals With Type 1 or Type 2 Diabetes.

To determine bidirectional associations between the timing of chronic diabetes complications (CDCs) and mental health disorders (MHDs) in individuals with type 1 or type 2 diabetes. We used a nationally representative health care claims database to identify matched individuals with type 1 or 2 diabetes or without diabetes using a propensity score quasirandomization technique stratified by age (0-19, 20-39, 40-59, and ≥60 years). CDCs and MHDs were identified using ICD-9/10 codes. We fit Cox proportional hazards models with time-varying diagnoses of CDCs or MHDs to investigate their association with the hazard of developing MHDs or CDCs, respectively. From 2001 to 2018, a total of 553,552 individuals were included (44,735 with type 1 diabetes, 152,187 with type 2 diabetes, and 356,630 without diabetes). We found that having a CDC increased the hazard of developing an MHD (hazard ratio [HR] 1.9-2.9; P < 0.05, with higher HRs in older age strata), and having an MHD increased the hazard of developing a CDC (HR 1.4-2.5; P < 0.05, with the highest HR in age stratum 0-19 years). In those aged <60 years, individuals with type 1 diabetes were more likely to have CDCs, whereas individuals with type 2 diabetes were more likely to have MHDs. However, the relationship between CDCs and MHDs in either direction was not affected by diabetes type (P > 0.05 for interaction effects). We found a consistent bidirectional association between CDCs and MHDs across the life span, highlighting the important relationship between CDCs and MHDs. Prevention and treatment of either comorbidity may help reduce the risk of developing the other.

Challenges and Implications for Substance Use and Mental Healthcare Among Under-Resourced Women in the COVID-19 Era.

The COVID-19 pandemic exacerbated disparities in mental healthcare and substance use disorder (SUD) treatment access, especially in under-resourced communities. This study aimed to comprehend the experiences of under-resourced women with SUD during the pandemic, their knowledge and attitudes towardit, and its impact on substance use and treatment access. A cross-sectional study included 66 under-resourced women receiving medically managed withdrawal treatment at a community residential SUD center. Data collection occurred between November 2021 and August 2022, utilizing a 75-item instrument covering COVID-19 exposure and its impact on health, substance use, treatment access, vaccination status, beliefs, and knowledge. Descriptive analyses summarized the data. Participants faced various challenges during the pandemic. Many reported increased substance use, especially alcohol, opioids, benzodiazepines, and nicotine. Mental health stability was negatively affected, exacerbating existing disorders and limiting mental healthcare access.A majority (56.1%) reported that their chronic mental health disorder was less stable during the pandemic. Twenty (30.3%) participants reported that they had been diagnosed with a new mental health disorder since the pandemic, and 28.8% reported that it was harder for them to access mental healthcare during the pandemic. Job loss, housing instability, and financial strain were prevalent. Half (n=33, 50%) received a COVID-19 vaccine dose, while 27.3% (n=18) declined vaccination due to knowledge gaps and religious beliefs. The majority (n=41, 62.1%) worried about securing basic needs such as groceries and medication, with 64.6% (n=42) expressing a desire to cope using alcohol or drugs. This study expands upon previous research by examining the effect of the COVID-19 pandemic on mental health in the context of substance use disorder treatment. Unlike previous data, which focused solely on substance use behaviors, our study delves into the impact of the pandemic on co-occurring mental health disorders. Findings underscore the need for gender-responsive and culturally appropriate SUD treatment. Vaccine hesitancy, as reflected in the study, necessitates more effective, tailored evidence-based informational campaigns. Efforts must focus on enhancing mental healthcare access, reducing stigma, and supporting individuals with co-occurring conditions amidst this evolving COVID-19 health crisis.

Indigenous Identity and Household Food Insecurity are Associated with Poor Health Outcomes in Canada.

Purpose: To examine whether Indigenous identity and food insecurity combined were associated with self-reported poor health.Methods: Data from the 2015-2016 Canadian Community Health Survey and multiple logistic regression were employed to evaluate the association between Indigenous identity, household food insecurity, and health outcomes, adjusted for individual and household covariates. The Alexander Research Committee in Alexander First Nation (Treaty 6) reviewed the manuscript and commented on the interpretation of study findings.Results: Data were from 59082 adults (3756 Indigenous). The prevalence of household food insecurity was 26.3% for Indigenous adults and 9.8% for non-Indigenous adults (weighted to the Canadian population). Food-secure Indigenous adults, food-insecure non-Indigenous adults, and food-insecure Indigenous adults had significantly (p < 0.001) greater odds of poor health outcomes than food-secure non-Indigenous adults (referent group). Food-insecure Indigenous adults had 1.96 [95% CI:1.53,2.52], 3.73 [95% CI: 2.95,4.72], 3.00 [95% CI:2.37,3.79], and 3.94 [95% CI:3.02,5.14] greater odds of a chronic health condition, a chronic mental health disorder, poor general health, and poor mental health, respectively, compared to food-secure non-Indigenous adults.Conclusions: Health policy decisions and programs should focus on food security initiatives for all Canadians, including addressing the unique challenges of Indigenous communities, irrespective of their food security status.

Gambaran Tingkat Kecemasan Keluarga Dalam Merawat Pasien Dengan Skizofrenia

Background: Schizophrenia is a complex and chronic mental health disorder, which requires family support in the recovery process. Schizophrenia patients who are cared for directly by their families have the potential to cause immediate anxiety for their families. Objective: to determine the level of family anxiety in caring for patients with schizophrenia. Method: The research design used in this research is descriptive with a cross-sectional approach model. Using a non-probability sampling technique, namely purposive sampling, with a sample size of 93 people. This research uses the Hamilton Rating Scale for Anxiety (HRS-A) questionnaire. Data analysis uses univariate analysis, namely analysis carried out on each research variable to look for frequency distributions, namely frequencies and percentages. Results: Based on age characteristics, it was found that the majority of respondents were in the 36-45 year range, 37 people (39.8%) with an elementary school education level of 35 people (37.6%), 52 people (55%) were male. .9%) and work as farmers as many as 39 people (41.9%). The results of the study showed that the level of family anxiety in caring for schizophrenic patients was mostly 35 people (37.60%) in the mild category. Conclusion: The anxiety level of the patient's family in caring for schizophrenic patients is in the mild category.

Harnessing big data for tailored health communication: A systematic review of impact and techniques

In recent years, the convergence of healthcare and big data analytics has opened new avenues for tailored health communication, enabling personalized interventions and improving healthcare outcomes. This systematic review investigates the impact and techniques of harnessing big data for tailored health communication. The review synthesizes findings from diverse studies spanning healthcare sectors, including public health campaigns, clinical interventions, and patient engagement initiatives. It examines the effectiveness of tailored communication strategies in addressing various health challenges, such as chronic diseases, infectious outbreaks, and mental health disorders. Key findings highlight the significant positive impact of personalized health communication on health behavior change, treatment adherence, and patient empowerment. Big data analytics enable the segmentation of diverse populations based on socio-demographic, behavioral, and clinical characteristics, facilitating the delivery of targeted messages tailored to individual preferences and needs. Personalization enhances engagement, fosters trust, and motivates individuals to adopt healthier lifestyles and adhere to medical recommendations. Furthermore, the review explores the diverse techniques and technologies employed in harnessing big data for tailored health communication. Machine learning algorithms, natural language processing, and predictive modeling are leveraged to analyze vast datasets, predict health outcomes, and tailor communication messages in real-time. Mobile health applications, social media platforms, and wearable devices serve as channels for delivering personalized interventions and collecting real-time health data. However, the review also identifies challenges and limitations, including privacy concerns, data security risks, and the digital divide. Ethical considerations regarding data collection, consent, and transparency are paramount in ensuring the responsible use of big data in health communication. This systematic review underscores the transformative potential of harnessing big data for tailored health communication. By leveraging advanced analytics and technology, healthcare stakeholders can deliver personalized interventions that resonate with individuals, ultimately driving positive health behavior change and improving healthcare outcomes on a population scale.

Ultra-processed foods and human health: An umbrella review and updated meta-analyses of observational evidence

Background & aimsUltra-processed food (UPF) intake has increased sharply over the last few decades and has been consistently asserted to be implicated in the development of non-communicable diseases. We aimed to evaluate and update the existing observational evidence for associations between ultra-processed food (UPF) consumption and human health. MethodsWe searched Medline and Embase from inception to March 2023 to identify and update meta-analyses of observational studies examining the associations between UPF consumption, as defined by the NOVA classification, and a wide spectrum of health outcomes. For each health outcome, we estimated the summary effect size, 95% confidence interval (CI), between-study heterogeneity, evidence of small-study effects, and evidence of excess-significance bias. These metrics were used to evaluate evidence credibility of the identified associations. ResultsThis umbrella review identified 39 meta-analyses on the associations between UPF consumption and health outcomes. We updated all meta-analyses by including 122 individual articles on 49 unique health outcomes. The majority of the included studies divided UPF consumption into quartiles, with the lowest quartile being the reference group. We identified 25 health outcomes associated with UPF consumption. For observational studies, 2 health outcomes, including renal function decline (OR: 1.25; 95% CI: 1.18, 1.33) and wheezing in children and adolescents (OR: 1.42; 95% CI: 1.34, 1.49), showed convincing evidence (Class I); and five outcomes were reported with highly suggestive evidence (Class II), including diabetes mellitus, overweight, obesity, depression, and common mental disorders. ConclusionsHigh UPF consumption is associated with an increased risk of a variety of chronic diseases and mental health disorders. At present, not a single study reported an association between UPF intake and a beneficial health outcome. These findings suggest that dietary patterns with low consumption of UPFs may render broad public health benefits.

THE FAR-REACHING EFFECTS OF POVERTY ON CHILDREN: IMPACTS ON HEALTH, EDUCATION, AND FUTURE OPPORTUNITIES

This article explores the profound impact of poverty on children's health, education, and future opportunities. Children living in poverty face disparities in health outcomes, including higher rates of chronic conditions and mental health disorders. Educational barriers such as attending under-resourced schools and facing external challenges impede academic success and limit future prospects. The long-term consequences of poverty on children's future opportunities underscore the need for comprehensive strategies to address systemic inequities. By investing in early childhood education, healthcare, and social support programs, society can mitigate the effects of poverty on vulnerable children and create a more equitable future for all.

MICRO-RNA AS DIAGNOSTIC MODALITY OF MAJOR DEPRESSIVE DISORDER

Introduction – Major Depressive Disorder (MDD) is a chronic mental health disorder, with suicidal ideation, but until now an exact diagnostic approach has not been found. For the limitations of the current diagnosis, such as subjective reports of patients or their families with mental status examinations, there is still a lack of objective diagnostic results. In this case, it is still a challenge for researchers. Neutropic factors, hypothalamic-pituitary-adrenal hormones (HPA), indicators of inflammation, and metabolic factors, were found to be novel biomarkers for MDD. However, these biomarkers show limited sensitivity and specificity. The most recent diagnostic development effort is the use of microRNA as a diagnostic modality approach for MDD. Methods – This study uses a qualitative method by collecting valid journals with certain inclusion and exclusion criteria. The keywords used were MDD, microRNA, and Diagnostic. There are journals used as the source of this literature review which come from valid scientific sources such as NCBI, ScienceDirect, and PubMed which were published in the last 10 years. Results – The results of the miRNA-124-3p expression test showed a significant difference between the healthy control group and the MDD patient group. The specificity and sensitivity of miRNA-221-3p, miRNA-451a, miRNA-34a-5p, and let-7d-3p showed high accuracy in the diagnosis of MDD. Discuss – The unknown etiology of MDD makes some patients have no results or significant progress of their depression in clinical settings which is contributed by gene regulatory pathway that shows high significance associated with neural function brain in depressive disorders such as apoptotic pathway, P13K-Akt signaling, axon guidance, neurotrophin signaling pathway, mTOR signaling pathway. Conclusion- The diagnostic effectiveness of miRNA in major depressive disorder can be significantly enhanced by using miRNA expression coding and has been proven by various tests. Therefore, this research is expected to be an innovation in diagnosing MDD for further research. Keywords: MDD, depression, microRNA, diagnostic

Site-specific immobilization of the endosialidase reveals QSOX2 is a novel polysialylated protein.

Polysialic acid (polySia) is a linear polymer of α2,8-linked sialic acid residues that is of fundamental biological interest due to its pivotal roles in the regulation of the nervous, immune, and reproductive systems in healthy human adults. PolySia is also dysregulated in several chronic diseases, including cancers and mental health disorders. However, the mechanisms underpinning polySia biology in health and disease remain largely unknown. The polySia-specific hydrolase, endoneuraminidase NF (EndoN), and the catalytically inactive polySia lectin EndoNDM, have been extensively used for studying polySia. However, EndoN is heat stable and remains associated with cells after washing. When studying polySia in systems with multiple polysialylated species, the residual EndoN that cannot be removed confounds data interpretation. We developed a strategy for site-specific immobilization of EndoN on streptavidin-coated magnetic beads. We showed that immobilizing EndoN allows for effective removal of the enzyme from samples, while retaining hydrolase activity. We used the same strategy to immobilize the polySia lectin EndoNDM, which enabled the enrichment of polysialylated proteins from complex mixtures such as serum for their identification via mass spectrometry. We used this methodology to identify a novel polysialylated protein, QSOX2, which is secreted from the breast cancer cell line MCF-7. This method of site-specific immobilization can be utilized for other enzymes and lectins to yield insight into glycobiology.

Acceptability of internet-delivered cognitive behavioural therapy for adults with symptoms of obsessive-compulsive disorder: A meta-analysis.

Obsessive-compulsive disorder (OCD) is a chronic mental health disorder. Internet-delivered cognitive behaviour therapy (ICBT) is demonstrated to be effective for OCD; however little is known about the acceptability of the treatment. Therefore the aim of this study was to examine the acceptability of ICBT for adults with OCD symptoms using a meta-analytic approach. Seventeen studies (N = 1661; Mage range = 28-41 years; 58%-93% female) were included in this analysis. The random effects pooled estimates indicated that 16.3% (95% CI: 9.8%-25.7%) of participants did not commence the treatment once they were enrolled in the study, 27.6% (95% CI: 19.0%-38.2%) did not complete the treatment, and 27.0% (95% CI: 18.2%-38.0%) did not complete the post-treatment questionnaires of the study. The mean score on the Client Satisfaction Questionnaire ranged from 22.4 to 26.5. Overall, pooled estimates indicated that 81.6% (95% CI: 76.1%-86.0%) of participants were satisfied with the ICBT intervention and 84.7% (95% CI: 72.8%-92.0%) indicated that they would recommend the treatment to a friend. Some of the acceptability moderator analyses indicated that self-guided ICBT interventions had lower levels of acceptability compared with clinician-guided interventions. However, given low power, these results should be considered preliminary. This study has important implications in the dissemination of ICBT for OCD.

The evolution and scope of Medicaid Section 1115 demonstrations to address nutrition: a US survey.

Poor nutrition and food insecurity are drivers of poor health, diet-related diseases, and health disparities in the U.S. State Medicaid Section 1115 demonstration waivers offer opportunities to pilot food-based initiatives to address health outcomes and disparities. Several states are now leveraging 1115 demonstrations, but the scope and types of utilization remain undefined. To fill this gap, we conducted a systematic analysis of state Medicaid Section 1115 applications and approvals available on Medicaid.gov through July 1, 2023. We found that 19 approved and pending 1115 waivers address nutrition, with 11 submitted or approved since 2021. Fifteen states provide or propose to provide screening for food insecurity, referral to food security programs, and/or reporting on food security as an evaluation metric. Thirteen provide or propose to provide coverage of nutrition education services. Ten provide or propose to provide direct intervention with healthy food. The primary target populations of these demonstrations are individuals with chronic diet-sensitive conditions, mental health or substance use disorders, and/or who are pregnant or post-partum. Since 2021, state utilization of Medicaid 1115 demonstrations to address nutrition has accelerated in pace, scope, and population coverage. These findings and trends have major implications for addressing diet-related health and healthy equity in the United States.

Low-Intensity Focused Ultrasound to the Human Dorsal Anterior Cingulate Attenuates Acute Pain Perception and Autonomic Responses.

The dorsal anterior cingulate cortex (dACC) is a critical brain area for pain and autonomic processing, making it a promising noninvasive therapeutic target. We leverage the high spatial resolution and deep focal lengths of low-intensity focused ultrasound (LIFU) to noninvasively modulate the dACC for effects on behavioral and cardiac autonomic responses using transient heat pain stimuli. A N = 16 healthy human volunteers (6 M/10 F) received transient contact heat pain during either LIFU to the dACC or Sham stimulation. Continuous electroencephalogram (EEG), electrocardiogram (ECG), and electrodermal response (EDR) were recorded. Outcome measures included pain ratings, heart rate variability, EDR response, blood pressure, and the amplitude of the contact heat-evoked potential (CHEP).LIFU reduced pain ratings by 1.09 ± 0.20 points relative to Sham. LIFU increased heart rate variability indexed by the standard deviation of normal sinus beats (SDNN), low-frequency (LF) power, and the low-frequency/high-frequency (LF/HF) ratio. There were no effects on the blood pressure or EDR. LIFU resulted in a 38.1% reduction in the P2 CHEP amplitude. Results demonstrate LIFU to the dACC reduces pain and alters autonomic responses to acute heat pain stimuli. This has implications for the causal understanding of human pain and autonomic processing in the dACC and potential future therapeutic options for pain relief and modulation of homeostatic signals.

Real-World Effectiveness, Economic, and Humanistic Outcomes of Selected Oral Antipsychotics in Patients with Schizophrenia: A Systematic Review Evaluating Global Evidence.

Schizophrenia is a complex, chronic mental health disorder that confers a substantial disease burden globally. Oral antipsychotic treatments (OATs) are the mainstay for treating early and advanced stages of schizophrenia. Our systematic review aimed to synthesize literature describing real-world effectiveness, economic, and humanistic outcomes of OATs (asenapine, brexpiprazole, cariprazine, iloperidone, lumateperone, lurasidone, olanzapine/samidorphan, paliperidone, and quetiapine) for successful management of the disease. PubMed, American Psychological Association PsycINFO (EBSCOhost), and Cumulative Index of Nursing and Allied Health Literature were searched according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Studies reporting real-world effectiveness, costs, humanistic, behavioral (eg, interpersonal relations, suicide ideation), medication adherence, and product-switching outcomes for selected OATs published in English from January 2010 to March 2022 were identified and evaluated qualitatively. We included 48 studies with different designs providing extensive evidence on schizophrenia. All studies were conducted in countries outside of the United States. In most studies, antipsychotic medications were more effective than placebo, suggesting their value in the management of schizophrenia. Sixteen studies measured the economic outcomes of OATs. Eight studies assessed humanistic outcomes, while one reported behavioral outcomes in three second-generation antipsychotics. Medication adherence was described in two studies, while five studies evaluated product switching. Non-adherence was commonly reported for OATs. Medication non-adherence and treatment discontinuation were predominant factors contributing to the economic burden of schizophrenia. Our research showcased a significant knowledge gap across OATs spanning the humanistic and behavioral outcomes and medication adherence and switching, suggesting a need for robust evidence generation to help clinicians and payers make informed decisions regarding treatment opportunities and cost-effective strategies for patients with schizophrenia.

Changes on risky drinking after the COVID-19 outbreak in Brazil: results from three consecutive web surveys.

Risky drinking (RD) is associated with an increased risk of chronic and infectious diseases, injuries, and violence. This study aimed to assess changes in risky drinking (RD) in Brazil after COVID-19 outbreak, both overall and among individuals with self-reported chronic diseases and mental health disorders. We conducted three independent, anonymous web surveys in Brazil including adult participants: S1 (April/2020, n=19,257), S2 (August/2020, n=1,590), and S3 (January/2021, n=859). Participants were recruited through adapted snowball sampling and sponsored social network advertisements. RD was assessed using the Alcohol Use Disorder Identification Test-Concise, designed to identify individuals at risk of alcohol-related problems. Logistic regression analyses with bootstrapping (B=2,000) were performed, with stratification by sex, age, education, employment, household size, and the presence of chronic and mental health conditions, as well as lifestyle factors, to address sample imbalances. The estimated prevalence of RD was 45.8% [95%CI 45.5, 46.1] in S1, 35.3% [95%CI 34.9, 35.6] in S2, and 33.7% [95%CI 33.3, 34.0] in S3. Participants with chronic diseases consistently presented lower RD prevalence across all three surveys, compared to those without such conditions. Conversely, individuals with mental health disorders presented higher RD prevalence than those without such diagnoses in S1 and S2, but not in S3. Despite the decrease in RD prevalence, monitoring of alcohol consumption trends remains essential for shaping effective public health policies. Additionally, the observed variations among individuals reporting chronic and mental health disorders highlight the need for targeted interventions in future crises.

Fluorescent-Based Neurotransmitter Sensors: Present and Future Perspectives.

Neurotransmitters (NTs) are endogenous low-molecular-weight chemical compounds that transmit synaptic signals in the central nervous system. These NTs play a crucial role in facilitating signal communication, motor control, and processes related to memory and learning. Abnormalities in the levels of NTs lead to chronic mental health disorders and heart diseases. Therefore, detecting imbalances in the levels of NTs is important for diagnosing early stages of diseases associated with NTs. Sensing technologies detect NTs rapidly, specifically, and selectively, overcoming the limitations of conventional diagnostic methods. In this review, we focus on the fluorescence-based biosensors that use nanomaterials such as metal clusters, carbon dots, and quantum dots. Additionally, we review biomaterial-based, including aptamer- and enzyme-based, and genetically encoded biosensors. Furthermore, we elaborate on the fluorescence mechanisms, including fluorescence resonance energy transfer, photon-induced electron transfer, intramolecular charge transfer, and excited-state intramolecular proton transfer, in the context of their applications for the detection of NTs. We also discuss the significance of NTs in human physiological functions, address the current challenges in designing fluorescence-based biosensors for the detection of NTs, and explore their future development.