Effectiveness of the Minder Mobile Mental Health and Substance Use Intervention for University Students: Randomized Controlled Trial.

BACKGROUND: University attendance represents a transition period for students that often coincides with the emergence of mental health and substance use challenges. Digital interventions have been identified as a promising means of supporting students due to their scalability, adaptability, and acceptability. Minder is a mental health and substance use mobile app that was codeveloped with university students. OBJECTIVE: This study aims to examine the effectiveness of the Minder mobile app in improving mental health and substance use outcomes in a general population of university students. METHODS: A 2-arm, parallel-assignment, single-blinded, 30-day randomized controlled trial was used to evaluate Minder using intention-to-treat analysis. In total, 1489 participants were recruited and randomly assigned to the intervention (n=743, 49.9%) or waitlist control (n=746, 50.1%) condition. The Minder app delivers evidence-based content through an automated chatbot and connects participants with services and university social groups. Participants are also assigned a trained peer coach to support them. The primary outcomes were measured through in-app self-assessments and included changes in general anxiety symptomology, depressive symptomology, and alcohol consumption risk measured using the 7-item General Anxiety Disorder scale, 9-item Patient Health Questionnaire, and US Alcohol Use Disorders Identification Test-Consumption Scale, respectively, from baseline to 30-day follow-up. Secondary outcomes included measures related to changes in the frequency of substance use (cannabis, alcohol, opioids, and nonmedical stimulants) and mental well-being. Generalized linear mixed-effects models were used to examine each outcome. RESULTS: In total, 79.3% (589/743) of participants in the intervention group and 83% (619/746) of participants in the control group completed the follow-up survey. The intervention group had significantly greater average reductions in anxiety symptoms measured using the 7-item General Anxiety Disorder scale (adjusted group mean difference=-0.85, 95% CI -1.27 to -0.42; P<.001; Cohen d=-0.17) and depressive symptoms measured using the 9-item Patient Health Questionnaire (adjusted group mean difference=-0.63, 95% CI -1.08 to -0.17; P=.007; Cohen d=-0.11). A reduction in the US Alcohol Use Disorders Identification Test-Consumption Scale score among intervention participants was also observed, but it was not significant (P=.23). Statistically significant differences in favor of the intervention group were found for mental well-being and reductions in the frequency of cannabis use and typical number of drinks consumed. A total of 77.1% (573/743) of participants in the intervention group accessed at least 1 app component during the study period. CONCLUSIONS: In a general population sample of university students, the Minder app was effective in reducing symptoms of anxiety and depression, with provisional support for increasing mental well-being and reducing the frequency of cannabis and alcohol use. These findings highlight the potential ability of e-tools focused on prevention and early intervention to be integrated into existing university systems to support students' needs. TRIAL REGISTRATION: ClinicalTrials.gov NCT05606601; https://clinicaltrials.gov/ct2/show/NCT05606601. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/49364.

The global macroeconomic burden of Alzheimer's disease and other dementias: estimates and projections for 152 countries or territories.

BACKGROUND: Alzheimer's disease and other dementias (ADODs) severely threaten the wellbeing of older people, their families, and communities, especially with projected exponential growth. Understanding the macroeconomic implications of ADODs for policy making is essential but under-researched. METHODS: We used a health-augmented macroeconomic model to calculate the macroeconomic burden of ADODs for 152 countries or territories, accounting for: the effect on labour supply of reduced working hours of informal caregivers; the effect on labour supply of ADODs-related mortality and morbidity; age-sex-specific differences in education, work experience, labour market participations, and informal caregivers; and treatment and formal care costs diverting from savings and investments. FINDINGS: ADODs will cost the world economy 14 513 billion international dollars (INT$, measured in the base year 2020; 95% uncertainty interval [UI] 12 106-17 778) from 2020 to 2050, equivalent to 0·421% (95% UI 0·351-0·515) of annual global GDP. Japan incurs the largest annual GDP loss at 1·463% (1·225-1·790). China (INT$2961 billion [2507-3564]), the USA (INT$2331 billion [1989-2829]), and Japan (INT$1758 billion [1471-2150]) face the largest absolute economic burdens. The economic burden of informal care ranges from 60·97% in high-income countries to 85·45% in lower-middle-income countries, and treatment and formal care costs range from 10·50% in lower-middle-income countries to 30·80% in high-income countries. INTERPRETATION: The macroeconomic burden of ADODs is substantial and unequally distributed across countries and regions. Global efforts to reduce the burden, especially with regard to informal care, are urgently needed. FUNDING: National Institute on Aging, National Institutes of Health; Chinese Academy of Engineering; Chinese Academy of Medical Sciences; Bill & Melinda Gates Foundation; Davos Alzheimer's Collaborative through Data for Decisions.

Cost of care for Alzheimer's disease and related dementias in the United States: 2016 to 2060.

Medical and long-term care for Alzheimer's disease and related dementias (ADRDs) can impose a large economic burden on individuals and societies. We estimated the per capita cost of ADRDs care in the in the United States in 2016 and projected future aggregate care costs during 2020-2060. Based on a previously published methodology, we used U.S. Health and Retirement Survey (2010-2016) longitudinal data to estimate formal and informal care costs. In 2016, the estimated per patient cost of formal care was $28,078 (95% confidence interval [CI]: $25,893-$30,433), and informal care cost valued in terms of replacement cost and forgone wages was $36,667 ($34,025-$39,473) and $15,792 ($12,980-$18,713), respectively. Aggregate formal care cost and formal plus informal care cost using replacement cost and forgone wage methods were $196 billion (95% uncertainty range [UR]: $179-$213 billion), $450 billion ($424-$478 billion), and $305 billion ($278-$333 billion), respectively, in 2020. These were projected to increase to $1.4 trillion ($837 billion-$2.2 trillion), $3.3 trillion ($1.9-$5.1 trillion), and $2.2 trillion ($1.3-$3.5 trillion), respectively, in 2060.

A platform for connecting social media data to domain-specific topics using large language models: an application to student mental health.

Objectives: To design a novel artificial intelligence-based software platform that allows users to analyze text data by identifying various coherent topics and parts of the data related to a specific research theme-of-interest (TOI). Materials and Methods: Our platform uses state-of-the-art unsupervised natural language processing methods, building on top of a large language model, to analyze social media text data. At the center of the platform's functionality is BERTopic, which clusters social media posts, forming collections of words representing distinct topics. A key feature of our platform is its ability to identify whole sentences corresponding to topic words, vastly improving the platform's ability to perform downstream similarity operations with respect to a user-defined TOI. Results: Two case studies on mental health among university students are performed to demonstrate the utility of the platform, focusing on signals within social media (Reddit) data related to depression and their connection to various emergent themes within the data. Discussion and Conclusion: Our platform provides researchers with a readily available and inexpensive tool to parse large quantities of unstructured, noisy data into coherent themes, as well as identifying portions of the data related to the research TOI. While the development process for the platform was focused on mental health themes, we believe it to be generalizable to other domains of research as well.

Sociodemographic Correlates of Mental Health Treatment Seeking Among College Students: A Systematic Review and Meta-Analysis.

OBJECTIVE: College students have high rates of mental health problems and low rates of treatment. Although sociodemographic disparities in student mental health treatment seeking have been reported, findings have not been synthesized and quantified. The extent to which differences in perceived need for treatment contribute to overall disparities remains unclear. METHODS: A systematic search of PubMed, PsycInfo, and Embase was conducted. Studies published between 2007 and 2022 were included if they reported treatment rates among college students with mental health problems, stratified by sex, gender, race-ethnicity, sexual orientation, student type, student year, or student status. Random-effects models were used to calculate pooled prevalence ratios (PRs) of having a perceived need for treatment and of receiving treatment for each sociodemographic subgroup. RESULTS: Twenty-one studies qualified for inclusion. Among students experiencing mental health problems, consistent and significant sociodemographic differences were identified in perceived need for treatment and treatment receipt. Students from racial-ethnic minority groups (in particular, Asian students [PR=0.49]) and international students (PR=0.63) reported lower rates of treatment receipt than White students and domestic students, respectively. Students identifying as female (sex) or as women (gender) (combined PR=1.33) reported higher rates of treatment receipt than students identifying as male or as men. Differences in perceived need appeared to contribute to some disparities; in particular, students identifying as male or as men reported considerably lower rates of perceived need than students identifying as female or as women. CONCLUSIONS: Findings highlight the need for policy makers to address barriers throughout the treatment-seeking pathway and to tailor efforts to student subgroups to reduce treatment disparities.

Factors associated with satisfaction and perceived helpfulness of mental healthcare: a World Mental Health Surveys report.

BACKGROUND: Mental health service providers are increasingly interested in patient perspectives. We examined rates and predictors of patient-reported satisfaction and perceived helpfulness in a cross-national general population survey of adults with 12-month DSM-IV disorders who saw a provider for help with their mental health. METHODS: Data were obtained from epidemiological surveys in the World Mental Health Survey Initiative. Respondents were asked about satisfaction with treatments received from up to 11 different types of providers (very satisfied, satisfied, neither satisfied nor dissatisfied, somewhat dissatisfied, very dissatisfied) and helpfulness of the provider (a lot, some, a little, not at all). We modelled predictors of satisfaction and helpfulness using a dataset of patient-provider observations (n = 5,248). RESULTS: Most treatment was provided by general medical providers (37.4%), psychiatrists (18.4%) and psychologists (12.7%). Most patients were satisfied or very satisfied (65.9-87.5%, across provider) and helped a lot or some (64.4-90.3%). Spiritual advisors and healers were most often rated satisfactory and helpful. Social workers in human services settings were rated lowest on both dimensions. Patients also reported comparatively low satisfaction with general medical doctors and psychiatrists/psychologists and found general medical doctors less helpful than other providers. Men and students reported lower levels of satisfaction than women and nonstudents. Respondents with high education reported higher satisfaction and helpfulness than those with lower education. Type of mental disorder was unrelated to satisfaction but in some cases (depression, bipolar spectrum disorder, social phobia) was associated with low perceived helpfulness. Insurance was unrelated to either satisfaction or perceived helpfulness but in some cases was associated with elevated perceived helpfulness for a given level of satisfaction. CONCLUSIONS: Satisfaction with and perceived helpfulness of treatment varied as a function of type of provider, service setting, mental status, and socio-demographic variables. Invariably, caution is needed in combining data from multiple countries where there are cultural and service delivery variations. Even so, our findings underscore the utility of patient perspectives in treatment evaluation and may also be relevant in efforts to match patients to treatments.

La actigrafía como herramienta diagnóstica / ROLE OF ACTIGRAPHY IN THE STUDY OF SLEEP AND CIRCADIAN RHYTHMS : ACCURACY, SENSITIVITY AND SPECIFICITY OF ACTIGRAPHY FOR THE ASSESSMENT OF SLEEP DISORDERS

El diagnóstico y tratamiento de los trastornos de sueño, especialmente los asociados al Ritmo Circadiano, utilizan métodos costosos, invasivos e incómodos tanto para los pacientes como para los médicos, quienes deben realizar un seguimiento de los hábitos de sueño. La actigrafía ha sido aceptada como una herramienta válida para el estudio y diagnóstico de trastornos circadianos. Más de 300 dispositivos se comercializan actualmente para el uso personal, pero pocos de estos han sido probados para un uso diagnóstico. En este estudio comparativo compuesto por 21 sujetos, se informa acerca de los patrones de sueño y actividad registrados por algunos dispositivos, como Micro-Mini Motionlogger Watch, Condor Act Trust, MisFit Flash y Fitbit Flex. No se observan diferencias significativas en el análisis del patrón de actividad de descanso entre dispositivos. Tampoco se observan para el sueño Onset (inicio), el Tiempo Total de Sueño y la Eficiencia del Sueño. Según el tipo de estudio y análisis deseado, éstos dispositivos pueden resultar alternativos para los registros de actividad y sueño.

This is a comparative analysis of actigraphy performance in comparison with different sleep Parameters. Actigraphy is a non-invasive and valid method of monitoring human rest activity cycles. The report describes the role of actigraphy to assess the study of sleep-wake patterns and circadian rhythms, evaluating its development as a diagnostic tool, with a comparative analysis of actigraphy performance in comparison with different sleep parameters. The diagnosis and treatment of sleep disorders, especially those associated with the cicardian rhythm, employ very expensive costs, invasives or unconfortable for the patients the same as for physicians, who must perform a demand of the sleeping habits. The International Classification of Sleep Disorders has identified more than 80 sleep disorders, all of them have associated treatments. Actinography has been accepted as a valid tool for the study and diagnosis of circadian disorders. All these aspects are discussed in the article

Introducción al estudio de los sesgos en investigación clínica / Introduction to the study of clinical investigation bias

La medicina actual recurre a la investigación científica para hallar respuestas a algunas preguntas entre lasque se encuentra las causas de las enfermedades como también los efectos beneficiosos y adversos de los medicamentos o procedimientos terapéuticos. El método científico consiste en una serie de pasos, a modo de ¶receta de cocina÷, que si son completados confieren un alto nivel de validez a los conocimientos adquiridos.Los estudios de investigación clínica que utilizan este método producen, por tanto, el conocimiento de mayor validez posible acerca de las relaciones causales en medicina. Si bien existe un debate epistemológico muy amplio en torno a la definición de una relación causal, a efectos puramente prácticos podemos afirmar en medicina que un factor es causa de un evento cuando la frecuencia del evento en el grupo expuesto es superior al grupo no expuesto, y no hay explicaciones alternativas para lo observado. Estas explicaciones alternativas, son en realidad particularidades en el diseño de los estudios clínicos, que hacen menos creíble o generalizable el resultadoobtenido. Estos sesgos pueden ocurrir durante la selección o conducción del estudio o se pueden presentarcomo distorsiones a la relación entre un factor y un evento, relacionadas con la presencia de un tercer factor. Los sesgos de selección surgen cuando las características del grupo expuesto son diferentes a las del grupo no expuesto, por eso si hubiera alguna asociacióncon el evento en estudio, no se podrá asegurar que no se deba a las diferencias observadas en dichas características. Por otro lado, los sesgos de información ocurren siempre que los grupos de sujetos, expuestos yno expuestos, no son evaluados de la misma manera, lo cual provoca que cualquier diferencia observada no sedebiera al factor de interés en estudio sino a la diferencia en los métodos de evaluación utilizados. (AU)

Science is a powerful ally in the search for the answers to some of the most important medical questions, suchas the cause of diseases or the effects of drugs or therapeutical procedures. The scientific method, which consists in an ordered set of predefined steps, confers a high level of validity to the knowledge acquired by its use. In this way, clinical scientific studies that employ it can produce valid knowledge about the causes of diseases or the effect of treatment procedures. Althoughthe nature of causal relationship is a matter of intense debate, in medicine it is usually sufficient to consider that a causal relationship exists when there is no better explanation for an observed association (i.e. when the rate of the studied event is higher in the group ofsubjects exposed to the risk factor studied as compared to subjects that were not exposed). The term ¶a betterexplanation÷ usually refers to bias, which generically refers to a set of factors whose occurrence greatly reduces the credibility or the generalizability of the clinicalstudy results. These factors can occur during the selection of the subjects to be studied or during the conductionof the study. Selection bias occurs when the characteristics of the exposed and unexposed subjects differ, making it impossible to rule out the possibilitythat any difference in the event rate observed is due to these differences and not the risk factor. On the otherhand, Information bias occurs when exposed and unexposed subjects are not evaluated similarly during the study, which can raise doubt in the case that a difference in the occurrence of the event is observed. (AU)

Introducción al estudio de los sesgos en investigación clínica / Introduction to the study of clinical investigation bias

La medicina actual recurre a la investigación científica para hallar respuestas a algunas preguntas entre lasque se encuentra las causas de las enfermedades como también los efectos beneficiosos y adversos de los medicamentos o procedimientos terapéuticos. El método científico consiste en una serie de pasos, a modo de “receta de cocina”, que si son completados confieren un alto nivel de validez a los conocimientos adquiridos.Los estudios de investigación clínica que utilizan este método producen, por tanto, el conocimiento de mayor validez posible acerca de las relaciones causales en medicina. Si bien existe un debate epistemológico muy amplio en torno a la definición de una relación causal, a efectos puramente prácticos podemos afirmar en medicina que un factor es causa de un evento cuando la frecuencia del evento en el grupo expuesto es superior al grupo no expuesto, y no hay explicaciones alternativas para lo observado. Estas explicaciones alternativas, son en realidad particularidades en el diseño de los estudios clínicos, que hacen menos creíble o generalizable el resultadoobtenido. Estos sesgos pueden ocurrir durante la selección o conducción del estudio o se pueden presentarcomo distorsiones a la relación entre un factor y un evento, relacionadas con la presencia de un tercer factor. Los sesgos de selección surgen cuando las características del grupo expuesto son diferentes a las del grupo no expuesto, por eso si hubiera alguna asociacióncon el evento en estudio, no se podrá asegurar que no se deba a las diferencias observadas en dichas características. Por otro lado, los sesgos de información ocurren siempre que los grupos de sujetos, expuestos yno expuestos, no son evaluados de la misma manera, lo cual provoca que cualquier diferencia observada no sedebiera al factor de interés en estudio sino a la diferencia en los métodos de evaluación utilizados.

Science is a powerful ally in the search for the answers to some of the most important medical questions, suchas the cause of diseases or the effects of drugs or therapeutical procedures. The scientific method, which consists in an ordered set of predefined steps, confers a high level of validity to the knowledge acquired by its use. In this way, clinical scientific studies that employ it can produce valid knowledge about the causes of diseases or the effect of treatment procedures. Althoughthe nature of causal relationship is a matter of intense debate, in medicine it is usually sufficient to consider that a causal relationship exists when there is no better explanation for an observed association (i.e. when the rate of the studied event is higher in the group ofsubjects exposed to the risk factor studied as compared to subjects that were not exposed). The term “a betterexplanation” usually refers to bias, which generically refers to a set of factors whose occurrence greatly reduces the credibility or the generalizability of the clinicalstudy results. These factors can occur during the selection of the subjects to be studied or during the conductionof the study. Selection bias occurs when the characteristics of the exposed and unexposed subjects differ, making it impossible to rule out the possibilitythat any difference in the event rate observed is due to these differences and not the risk factor. On the otherhand, Information bias occurs when exposed and unexposed subjects are not evaluated similarly during the study, which can raise doubt in the case that a difference in the occurrence of the event is observed.

Dolor perdurable II. Tratamiento / [Enduring pain II. Treatment].

Pain disorders present highly challenging therapeutic problems, owing in part to complex co-morbidities associated with pain disorders, notably including psychiatric disorders characterized by depressed mood or anxiety. Many treatments are employed to treat pain-disorder patients, and most are unsatisfactory. Virtually all analgesic medicines in long-term use provide only partial efficacy and present substantial risks of adverse effects, loss of benefit over time, or dependency and risk of abuse. Commonly employed drugs with analgesic properties include non-opioids (mainly nonsteroidal anti-inflammatory agents [NSAIDs] or acetaminophen), many natural or synthetic opioids (including opiates and phenylpiperidines), some antidepressants (especially those with noradrenergic activity), a few anticonvulsants, skeletal muscle relaxants or topical remedies, and a growing variety of experimental treatments. The major overlap between pain and psychiatric disorders, as well as the currently unsatisfactory state of treatments available for chronic pain syndromes, encourage a comprehensive approach to assessment and clinical management of patients with chronic pain. Many current treatment programs for pain disorder patients offer narrowly specialized and incomplete treatment options. Ideally however, such care should be provided by multi-disciplinary teams with expertise in neurology, general medicine, pain management, physical medicine and rehabilitation, as well as psychiatry. Psychiatrists as well as pain specialists can serve an essential role in leading comprehensive assessment and general management of such complex and challenging patients who are typically only partially responsive to available treatments.

Dolor perdurable I. Nosología y epidemiología / [Enduring pain I. Nosology and epidemiology].

Pain disorders are extraordinarily prevalent throughout clinical medicine, and are highly co-morbid with various psychiatric disorders, particularly those including depression or anxiety. Assessment of such patients tends to be based on diagnostic criteria that may not reflect the complexity of the clinical problem and can result in prioritizing somatic aspects of painful syndromes at the expense of psychiatric aspects or, conversely, over-emphasize psychiatric aspects. In the first part of this overview we consider current nosological perspectives and their potential clinical consequences, epidemiological data that underscore the association of comorbid painful and affective or anxious syndromes, and consider the importance of psychiatric assessment and treatment of such patients. The major overlap between pain disorders and psychiatric disorders, as well as the unsatisfactory state of treatments available for chronic pain syndromes, encourage a comprehensive approach to assessing and clinically managing patients with chronic pain. Many programs for pain disorder patients offer narrowly specialized treatment options. To be preferred are multi-disciplinary teams with expertise in internal medicine, neurology, pain management, and rehabilitation, as well as psychology and psychiatry. In the second part of this overview, we propose that psychiatrists can serve a key role in leading comprehensive assessment and management of complex and challenging pain-psychiatric patients who are typically only partially responsive to available treatments.