scholarly journals Analysis of Mental Health Diseases Trends using BeGraph Software in Spanish Healthcare Centers (Preprint)

2019 ◽  
Author(s):  
Susel Góngora Alonso ◽  
Andrés de Bustos Molina ◽  
Beatriz Sainz de Abajo ◽  
Manuel Franco-Martín ◽  
Isabel De la Torre Díez
Keyword(s):  
Mental Health ◽  
Data Analysis ◽  
Complex Networks ◽  
3D Visualization ◽  
Paranoid Schizophrenia ◽  
Dysthymic Disorder ◽  
Data Networks ◽  
Web Based ◽  
Health Related ◽  
The University

BACKGROUND In the era of Big Data, networks are becoming a popular factor in field of data analysis. The networks are part of the main structure of BeGraph software, which is a 3D visualization application dedicated to the analysis of complex networks. OBJECTIVE The main objective of this research is to visually analyze tendencies of Mental Health diseases in a region of Spain through the Begraph software, in order to make the most appropriate health-related decisions in each case. METHODS For the development of the study, a database was used with 13531 records of patients with Mental Health disorders of three acute medical units from different healthcare complexes in a region of Spain. For the analysis, BeGraph software is applied, a web-based 3D visualization tool that allows the exploration and analysis of data through complex networks. RESULTS The results obtained with the BeGraph software allow us to determine the main disease detected in each of the healthcare complexes to be evaluated: 6.5% of income at the University Clinic of Valladolid with unspecified paranoid schizophrenia, 9.61% of admissions in the Zamora Hospital with chronic paranoid schizophrenia with acute exacerbation and 8.84% of income in the Rio Hortega Hospital in Valladolid with dysthymic disorder. CONCLUSIONS The data analysis obtained allows us to focus on the main diseases detected in the healthcare complexes to be evaluated, in order to analyse the behaviour of disorder and help in the diagnosis and treatment.

Should Programs Designed to Help IPV Survivors Screen for Mental Health–Related Problems

2016 ◽  
Vol 23 (5) ◽  
pp. 603-622 ◽  
Author(s):  
Catherine A. Simmons ◽  
Matthew J. Delaney ◽  
Leslie Lindsey ◽  
Anna Whalley ◽  
Olliette Murry-Drobot ◽  
...  
Keyword(s):  
Mental Health ◽  
Intimate Partner Violence ◽  
Data Analysis ◽  
Concept Mapping ◽  
Partner Violence ◽  
Service Providers ◽  
Intimate Partner ◽  
Health Related ◽  
Trauma Informed ◽  
Qualitative Responses

Qualitative responses that 187 service providers gave to a question assessing whether agencies designed to help intimate partner violence (IPV) survivors should screen for mental health-related problems were analyzed using a version of the concept mapping approach. Nine central clusters emerged from the data analysis, which can be linked to three underlying themes: how the identification of mental health-related problems (i.e., labeling) could be misused when working with IPV survivors, ways screening can be appropriately used to help IPV survivors, and barriers that prevent screening. Findings highlight the importance of trauma-informed approaches across all aspects of service delivery.

scholarly journals Profiling Commenters on Mental Health–Related Online Forums: A Methodological Example Focusing on Eating Disorder–Related Commenters

10.2196/12555 ◽  
2019 ◽  
Vol 6 (4) ◽  
pp. e12555 ◽  
Author(s):  
Duncan McCaig ◽  
Mark T Elliott ◽  
Cynthia SQ Siew ◽  
Lukasz Walasek ◽  
Caroline Meyer
Keyword(s):  
Mental Health ◽  
Eating Disorder ◽  
Network Analysis ◽  
Community Detection ◽  
The Body ◽  
Future Research ◽  
Psychological Interventions ◽  
Online Forums ◽  
Web Based ◽  
Health Related

Background Understanding the characteristics of commenters on mental health–related online forums is vital for the development of effective psychological interventions in these communities. The way in which commenters interact can enhance our understanding of their characteristics. Objective Using eating disorder–related (EDR) forums as an example, this study detailed a methodology that aimed to determine subtypes of mental health–related forums and profile their commenters based on the other forums to which they contributed. Methods The researchers identified all public EDR forums (with ≥500 contributing commenters between March 2017 and February 2018) on a large Web-based discussion platform (Reddit). A mixed-methods approach comprising network analysis with community detection, text mining, and manual review identified subtypes of EDR forums. For each subtype, another network analysis with community detection was conducted using the EDR forum commenter overlap between 50 forums on which the commenters also commented. The topics of forums in each detected community were then manually reviewed to identify the shared interests of each subtype of EDR forum commenters. Results Six subtypes of EDR forums were identified, to which 14,024 commenters had contributed. The results focus on 2 subtypes—proeating disorder and thinspiration—and communities of commenters within both subtypes. Within the proeating disorder subtype, 3 communities of commenters were detected that related to the body and eating, mental health, and women, appearance, and mixed topics. With regard to the thinspiration group, 78.17% (849/1086) of commenters had also commented on pornographic forums and 16.66% (181/1086) had contributed to proeating disorder forums. Conclusions The article exemplifies a methodology that provides insight into subtypes of mental health–related forums and the characteristics of their commenters. The findings have implications for future research and Web-based psychological interventions. With the publicly available data and code provided, researchers can easily reproduce the analyses or utilize the methodology to investigate other mental health–related forums.

scholarly journals How Confidence in Prior Attitudes, Social Tag Popularity, and Source Credibility Shape Confirmation Bias Toward Antidepressants and Psychotherapy in a Representative German Sample: Randomized Controlled Web-Based Study (Preprint)

2018 ◽  
Author(s):  
Stefan Schweiger ◽  
Ulrike Cress
Keyword(s):  
Mental Health ◽  
Information Search ◽  
Source Credibility ◽  
Scientific Evidence ◽  
Confirmation Bias ◽  
Web Based ◽  
Related Information ◽  
Health Related ◽  
Prior Attitudes ◽  
Blog Posts

BACKGROUND In health-related, Web-based information search, people should select information in line with expert (vs nonexpert) information, independent of their prior attitudes and consequent confirmation bias. OBJECTIVE This study aimed to investigate confirmation bias in mental health–related information search, particularly (1) if high confidence worsens confirmation bias, (2) if social tags eliminate the influence of prior attitudes, and (3) if people successfully distinguish high and low source credibility. METHODS In total, 520 participants of a representative sample of the German Web-based population were recruited via a panel company. Among them, 48.1% (250/520) participants completed the fully automated study. Participants provided prior attitudes about antidepressants and psychotherapy. We manipulated (1) confidence in prior attitudes when participants searched for blog posts about the treatment of depression, (2) tag popularity —either psychotherapy or antidepressant tags were more popular, and (3) source credibility with banners indicating high or low expertise of the tagging community. We measured tag and blog post selection, and treatment efficacy ratings after navigation. RESULTS Tag popularity predicted the proportion of selected antidepressant tags (beta=.44, SE 0.11; P<.001) and blog posts (beta=.46, SE 0.11; P<.001). When confidence was low (−1 SD), participants selected more blog posts consistent with prior attitudes (beta=−.26, SE 0.05; P<.001). Moreover, when confidence was low (−1 SD) and source credibility was high (+1 SD), the efficacy ratings of attitude-consistent treatments increased (beta=.34, SE 0.13; P=.01). CONCLUSIONS We found correlational support for defense motivation account underlying confirmation bias in the mental health–related search context. That is, participants tended to select information that supported their prior attitudes, which is not in line with the current scientific evidence. Implications for presenting persuasive Web-based information are also discussed. CLINICALTRIAL ClinicalTrials.gov NCT03899168; https://clinicaltrials.gov/ct2/show/NCT03899168 (Archived by WebCite at http://www.webcitation.org/77Nyot3Do)

scholarly journals Profiling Commenters on Mental Health–Related Online Forums: A Methodological Example Focusing on Eating Disorder–Related Commenters (Preprint)

2018 ◽  
Author(s):  
Duncan McCaig ◽  
Mark T Elliott ◽  
Cynthia SQ Siew ◽  
Lukasz Walasek ◽  
Caroline Meyer
Keyword(s):  
Mental Health ◽  
Eating Disorder ◽  
Network Analysis ◽  
Community Detection ◽  
The Body ◽  
Future Research ◽  
Psychological Interventions ◽  
Online Forums ◽  
Web Based ◽  
Health Related

BACKGROUND Understanding the characteristics of commenters on mental health–related online forums is vital for the development of effective psychological interventions in these communities. The way in which commenters interact can enhance our understanding of their characteristics. OBJECTIVE Using eating disorder–related (EDR) forums as an example, this study detailed a methodology that aimed to determine subtypes of mental health–related forums and profile their commenters based on the other forums to which they contributed. METHODS The researchers identified all public EDR forums (with ≥500 contributing commenters between March 2017 and February 2018) on a large Web-based discussion platform (Reddit). A mixed-methods approach comprising network analysis with community detection, text mining, and manual review identified subtypes of EDR forums. For each subtype, another network analysis with community detection was conducted using the EDR forum commenter overlap between 50 forums on which the commenters also commented. The topics of forums in each detected community were then manually reviewed to identify the shared interests of each subtype of EDR forum commenters. RESULTS Six subtypes of EDR forums were identified, to which 14,024 commenters had contributed. The results focus on 2 subtypes—proeating disorder and thinspiration—and communities of commenters within both subtypes. Within the proeating disorder subtype, 3 communities of commenters were detected that related to the body and eating, mental health, and women, appearance, and mixed topics. With regard to the thinspiration group, 78.17% (849/1086) of commenters had also commented on pornographic forums and 16.66% (181/1086) had contributed to proeating disorder forums. CONCLUSIONS The article exemplifies a methodology that provides insight into subtypes of mental health–related forums and the characteristics of their commenters. The findings have implications for future research and Web-based psychological interventions. With the publicly available data and code provided, researchers can easily reproduce the analyses or utilize the methodology to investigate other mental health–related forums.

scholarly journals A randomised controlled trial of repeated filmed social contact on reducing mental illness-related stigma in young adults

2016 ◽  
Vol 27 (2) ◽  
pp. 199-208 ◽  
Author(s):  
S. Koike ◽  
S. Yamaguchi ◽  
Y. Ojio ◽  
K. Ohta ◽  
T. Shimada ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Controlled Trial ◽  
Social Contact ◽  
Web Based ◽  
Related Stigma ◽  
Health Related ◽  
Randomised Controlled ◽  
Intended Behaviour

Aims.Public stigma alters attitudes towards people with mental illness, and is a particular concern for young people since most mental health problems occur in adolescence and young adulthood. However, little is known about the long-term effects of repeated filmed social contact (FSC) on reducing mental health-related stigma among young adults in the general population, compared with self-instructional Internet search (INS) and control interventions.Methods.This study is a parallel-group randomised controlled trial over 12 months conducted in Tokyo, Japan. A total of 259 university students (male n = 150, mean age = 20.0 years, s.d. = 1.2) were recruited from 20 colleges and universities between November 2013 and July 2014, without being provided information about the mental health-related survey or trial. Participants were assigned to one of three groups before completion of the baseline survey (FSC/INS/control = 89/83/87). The FSC group received a computer-based 30-min social contact film with general mental health education and five follow-up web-based FSCs at 2-month intervals. The INS group undertook a 30-min search for mental health-related information with five follow-up web-based reminders for self-instructional searches at 2-month intervals. The control group played PC games and had no follow-up intervention. The main outcome measures were the future (intended behaviour) domain of the Reported and Intended Behaviour Scale at 12 months after the intervention. Analysis was conducted in September 2015.Results.At the 12-month follow-up, 218 participants completed the survey (84.1%, 75:70:73). The FSC group showed the greatest change at the 12-month follow-up (FSC: mean change 2.11 [95% CI 1.49, 2.73], INS: 1.04 [0.29, 1.80], control: 0.71 [0.09, 1.33]; FSC v. INS p = 0.037, FSC v. controls p = 0.004). No adverse events were reported during the follow-up period.Conclusions.FSC was more successful in reducing stigma at 12 months after intervention than INS or control interventions. FSC could be used to reduce stigma in educational lectures and anti-stigma campaigns targeted at young people.Study registration.This study is registered at UMIN-CTR (No. UMIN000012239).

scholarly journals Heterogeneous Network Approach to Predict Individuals’ Mental Health

2021 ◽  
Vol 15 (2) ◽  
pp. 1-26
Author(s):  
Shikang Liu ◽  
Fatemeh Vahedian ◽  
David Hachen ◽  
Omar Lizardo ◽  
Christian Poellabauer ◽  
...  
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Health Conditions ◽  
Depression And Anxiety ◽  
Health States ◽  
Mental Health Conditions ◽  
Health Related ◽  
Types Of Information ◽  
The University ◽  
Critical Public Health

Depression and anxiety are critical public health issues affecting millions of people around the world. To identify individuals who are vulnerable to depression and anxiety, predictive models have been built that typically utilize data from one source. Unlike these traditional models, in this study, we leverage a rich heterogeneous dataset from the University of Notre Dame’s NetHealth study that collected individuals’ (student participants’) social interaction data via smartphones, health-related behavioral data via wearables (Fitbit), and trait data from surveys. To integrate the different types of information, we model the NetHealth data as a heterogeneous information network (HIN). Then, we redefine the problem of predicting individuals’ mental health conditions (depression or anxiety) in a novel manner, as applying to our HIN a popular paradigm of a recommender system (RS), which is typically used to predict the preference that a person would give to an item (e.g., a movie or book). In our case, the items are the individuals’ different mental health states. We evaluate four state-of-the-art RS approaches. Also, we model the prediction of individuals’ mental health as another problem type—that of node classification (NC) in our HIN, evaluating in the process four node features under logistic regression as a proof-of-concept classifier. We find that our RS and NC network methods produce more accurate predictions than a logistic regression model using the same NetHealth data in the traditional non-network fashion as well as a random-approach. Also, we find that the best of the considered RS approaches outperforms all considered NC approaches. This is the first study to integrate smartphone, wearable sensor, and survey data in a HIN manner and use RS or NC on the HIN to predict individuals’ mental health conditions.

Supporting caregivers of adolescents with mental health disorders using internet-based or mobile application interventions: a systematic review (Preprint)

2020 ◽  
Author(s):  
Hua Li ◽  
Lorraine Holtslander ◽  
Tracie Risling ◽  
Don Leidl ◽  
Megan Kennedy ◽  
...  
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Mobile Application ◽  
Mental Health Disorders ◽  
Mobile App ◽  
Health Issues ◽  
Web Based ◽  
Mental Health Issues ◽  
Health Related ◽  
Health Disorders

BACKGROUND The number of adolescents with mental health issues has increased worldwide, which not only affects adolescents themselves but also their families, especially, their primary caregivers (mostly parents). Family caregivers are a lifelong resource in a child’s life, and play a crucial role in supporting and helping their children in their recovery journey, and provide unpaid care, mostly in the community, Yet they are the most unsupported of all groups of caregivers. With growing recognition of web-based or mobile application interventions playing a promising role in delivering programs in mental health related areas, caregivers of adolescents with mental health issues can benefit from the technologies that provide support for them. OBJECTIVE In this systematic review, we aimed to review the current existing literature on online-based programs or mobile applications that support caregivers of adolescents with mental health disorders. METHODS A systematic search of the literature using the PRISMA guideline was conducted on seven databases to identify any peer-reviewed articles published in English from 2009 to March 2019. The studies were screened, extracted, and the quality of the selected studies was appraised using the McMaster Critical Review. RESULTS This review revealed a paucity of studies that met the inclusion criteria. All five selected articles focus on evaluating online-based or mobile app interventions including online moderated social therapy, online parenting intervention program, online chat support groups, and smartphone application for suicidal adolescents and their parents. Acceptability, usability, and feasibility of the online-based or smartphone app interventions were confirmed in the studies while findings of improving mental health and well-being in the caregivers and adolescents were inconclusive. CONCLUSIONS With increased interests in web-based or mobile app interventions used in mental health related areas and its known benefits, more studies on supporting the caregivers using technologies are required.

scholarly journals Mental health-related visits in a pediatric emergency department during the COVID-19 pandemic

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Arnaud Fernandez ◽  
Morgane Gindt ◽  
Phillipe Babe ◽  
Florence Askenazy
Keyword(s):  
Mental Health ◽  
Emergency Department ◽  
Pediatric Emergency ◽  
Emergency Department Visits ◽  
Pediatric Emergency Department ◽  
Children's Hospital ◽  
Children’S Hospital ◽  
Health Related ◽  
The University

AbstractWe aimed to describe the epidemiology of all pediatric emergency department visits (focusing on mental health-related visits versus total visits) at the University Children’s Hospital of Nice (France) from 1 January to 31 December 2020 (year of the COVID-19 pandemic) and to compare it with the earlier 3-year period. The increase in mental health-related visits (44.2%) that we observed, while total visits decreased (30.0%), suggests an impact of the pandemic on children’s and adolescents’ mental health.

scholarly journals Studying Music During the Coronavirus Pandemic: Conditions of Studying and Health-Related Challenges

2021 ◽  
Vol 12 ◽  
Author(s):  
Magdalena Rosset ◽  
Eva Baumann ◽  
Eckart Altenmüller
Keyword(s):  
Mental Health ◽  
Health Status ◽  
Music Education ◽  
Performing Arts ◽  
Online Survey ◽  
Mental Health Status ◽  
Music Students ◽  
Health Related ◽  
The University ◽  
The Impact

ObjectiveThe coronavirus pandemic affects all areas of life. Performing arts and music studies have also experienced considerable changes, with university closures and a fluctuating return to normal and more limited operations. Prior studies detail the impact of the pandemic on college students, but we do not yet know what specific consequences it has for music students. The aim of this study is to examine the impact of the coronavirus pandemic on music students’ health, practicing behavior, and everyday life.MethodsIn July 2020, we conducted an online survey of 80 students enrolled in performance and music education programs at a German music university and compared these data with data from a survey of 75 students at the same music university carried out in summer 2019.ResultsThe survey revealed that the coronavirus pandemic led to a decrease in practicing hours and an increase of stressful thoughts and feelings. Students were mostly satisfied with Corona-measures taken by the university. Of analyzed determinants, only general fear of health problems was identified as a significant predictor of mental health status. Mental health status did not significantly differ between students surveyed in 2019 and 2020.ConclusionKnowledge about the specific challenges the pandemic poses for music students can help conservatories to better respond to the needs of their students. Specifically, this study will inform future measures supporting music students in coping with difficult situations like a pandemic.

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