المؤلفون: de Oliveira, Rafael Lage¹ (AUTHOR), Trevisan Martins, Joāo¹ (AUTHOR), Paraboni, Ivandré¹ (AUTHOR) ivandre@usp.br

المصدر: New Review of Hypermedia & Multimedia. Sep-Dec2023, Vol. 29 Issue 3/4, p225-244. 20p.

مصطلحات موضوعية: *Social media, Social prediction, Mental health, Anxiety disorders, Mental illness

مستخلص: The relation between mental health and the language employed by social media users has been the focus of a wide range of studies in Natural Language Processing and related fields intended to predict early signs of a mental disorder. In many cases, however, text data alone is considered to be a sufficient source of learning features, and other possible sources also available from social media are often neglected. To shed light on these issues, the present work addresses the use of social media connections information — represented by the identities of Twitter friends, followers and mentions — to predict depression and anxiety disorder. Using a large multimodal dataset of over 31K unique Twitter timelines (555 million words) and associated network data, we built a number of network-based models (using network embeddings representations), and text-based alternatives (bag-of-words and LIWC baseline models) to these tasks. Results suggest that not only network connections may act as strong predictors of mental health, but that these models may actually outperform standard baseline alternatives that rely on text data alone, which may be seen as a first step towards more sophisticated architectures that may actually combine textual and non-textual information. [ABSTRACT FROM AUTHOR]

المؤلفون: Reyes-Portillo, Jazmin A.¹, Rette, Danielle N.¹, Weeks, Cody¹, Singh, Tanya¹, Mahmud, Farah¹, Tineo, Petty¹, Kline, Emily A.¹, Bixter, Michael T.¹, Masia Warner, Carrie¹

المصدر: Journal of Technology in Human Services. Oct2022, Vol. 40 Issue 4, p339-356. 18p. 4 Charts.

مصطلحات موضوعية: *Mobile apps, *Questionnaires, *Data analysis, Suicide risk factors, College students, Sexual orientation, Statistics, Telepsychiatry, Help-seeking behavior, Suicidal ideation, Sex distribution, Psychological tests, Health behavior, Mental depression, Descriptive statistics, Chi-squared test, Student attitudes, Anxiety disorders, Data analysis software, Mental health services

مستخلص: Mental health apps (MHAs) and online interventions have considerable potential for addressing the unmet mental health needs of college students at-risk for suicide. We examined attitudes about MHAs and reported use of online treatment (online interventions and MHAs) among at-risk college students using a diverse sample of 827 students. About 65% of students were inclined to use MHAs, with over a third preferring MHAs to in-person treatment. Despite positive attitudes, actual use of online treatment was low. The full potential of online treatment on college campuses has not been fully realized due to low student awareness and uptake. [ABSTRACT FROM AUTHOR]

المؤلفون: dos Santos Paula, Leonardo¹ (AUTHOR) leonardopaula@gmail.com, Barbosa, Jorge Luis Victória¹ (AUTHOR), Dias, Lucas Pfeiffer Salomão¹ (AUTHOR)

المصدر: Universal Access in the Information Society. Jun2022, Vol. 21 Issue 2, p533-543. 11p.

مصطلحات موضوعية: Anxiety disorders, Mental health personnel, Cognitive therapy, Medical personnel as patients, Patients' attitudes

مستخلص: This article presents a model for the therapeutic process and the interaction between the patient and mental health professional, assisting in the treatment of anxiety disorder. The proposed model uses the Dysfunctional Thinking Record, a tool widely used by cognitive behavioral therapy to detect and record the patient's distorted thoughts (trigger for anxiety episodes). The patients can record these thoughts using a mobile application to collect their location and related media data. Also, therapists can use a management panel to visualize and interact with the records sent by their patients. In addition, the therapist can personalize the patient's experience with tips and techniques for controlling anxiety. A prototype was developed and evaluated with specialists in the areas of psychology and psychiatry through scenarios. The results showed that the application can promote advances in the therapeutic process through ubiquitous interaction. All specialists recommended the application and suggested new features for use by patients. [ABSTRACT FROM AUTHOR]

المؤلفون: Hussain-Shamsy, Neesha^1,2 (AUTHOR), Shah, Amika^1,2 (AUTHOR), Vigod, Simone N^1,3,4 (AUTHOR), Zaheer, Juveria^4,5 (AUTHOR), Seto, Emily^1,2 (AUTHOR)

المصدر: Journal of Medical Internet Research. Apr2020, Vol. 22 Issue 4, p1-N.PAG. 11p. 1 Diagram, 1 Chart.

مصطلحات موضوعية: Anxiety disorders treatment, Maternal health services, Systematic reviews, Mental depression, Telemedicine

مستخلص: Background: The perinatal period is a vulnerable time during which depression and anxiety commonly occur. If left untreated or undertreated, there may be significant adverse effects; therefore, access to rapid, effective treatment is essential. Treatments for mild-to-moderate symptoms according to a stepped-care approach involve psychoeducation, peer support, and psychological therapy, all of which have been shown to be efficaciously delivered through digital means. Women experience significant barriers to care because of system- and individual-level factors, such as cost, accessibility, and availability of childcare. The use of mobile phones is widespread in this population, and the delivery of mental health services via mobile phones has been suggested as a means of reducing barriers.Objective: This study aimed to understand the extent, range, and nature of mobile health (mHealth) tools for prevention, screening, and treatment of perinatal depression and anxiety in order to identify gaps and inform opportunities for future work.Methods: Using a scoping review framework, 4 databases were searched for terms related to mobile phones, perinatal period, and either depression or anxiety. A total of 477 unique records were retrieved, 81 of which were reviewed by full text. Peer-reviewed publications were included if they described the population as women pregnant or up to 1 year postpartum and a tool explicitly delivered via a mobile phone for preventing, screening, or treating depression or anxiety. Studies published in 2007 or earlier, not in English, or as case reports were excluded.Results: A total of 26 publications describing 22 unique studies were included (77% published after 2017). mHealth apps were slightly more common than texting-based interventions (12/22, 54% vs 10/22, 45%). Most tools were for either depression (12/22, 54%) or anxiety and depression (9/22, 41%); 1 tool was for anxiety only (1/22, 4%). Interventions starting in pregnancy and continuing into the postpartum period were rare (2/22, 9%). Tools were for prevention (10/22, 45%), screening (6/22, 27%), and treatment (6/22, 27%). Interventions delivered included psychoeducation (16/22, 73%), peer support (4/22, 18%), and psychological therapy (4/22, 18%). Cost was measured in 14% (3/22) studies.Conclusions: Future work in this growing area should incorporate active psychological treatment, address continuity of care across the perinatal period, and consider clinical sustainability to realize the potential of mHealth. [ABSTRACT FROM AUTHOR]

المؤلفون: Espinoza, Walter Junior Mayo¹ (AUTHOR) wmayoesp@gmail.com, Paredes, Emigdio Antonio Alfaro² (AUTHOR) emigdio.alfaro@gmail.com, Shen, Jun³ (AUTHOR)

المصدر: Cogent Engineering. Jan2020, Vol. 7 Issue 1, p1-21. 21p.

مصطلحات موضوعية: *Mobile apps, Psychology of color, Diagnosis, Anxiety, Anxiety disorders, Separation anxiety

مستخلص: There were not found studies about the impact of the use of a mobile application on the diagnostic precision of anxiety, which makes it difficult to make decisions to apply this technology to improve the sensitivity and specificity of this diagnosis, which is necessary due to millions of people around the world are affected by anxiety. The purpose of the research was to determine if a mobile application improved the process of preliminary diagnosis of the anxiety disorder of patients of the psychology service in a hospital with a convenience sample of 23 patients. The results of the study showed an improvement in sensitivity (from 33.3% to 83.3%) and a decrease in specificity (from 94.1% to 82.3%) of the preliminary diagnosis of this disorder. It was concluded that the use of the mobile application together with the color psychology allowed the increase of the sensitivity of the preliminary diagnosis and that the decrease of the specificity was a consequence of the better identification of patients with the diagnosis with this technological solution. For future researches, the recommendations included the use of the developed mobile application or other similar applications in other cities and countries, improving their functional and technical characteristics, as well as to study the results of the use of similar mobile applications for other psychological disorders. [ABSTRACT FROM AUTHOR]

المؤلفون: Rizzo, Albert¹, Thomas Koenig, Sebastian², Talbot, Thomas B.¹ talbot@ict.usc.edu

المصدر: Journal of Technology in Human Services. Jan-Mar2019, Vol. 37 Issue 1, p51-74. 24p. 2 Color Photographs.

مصطلحات موضوعية: *Literature reviews, Treatment of post-traumatic stress disorder, Anxiety disorders treatment, Neurologic examination, Diffusion of innovations, Three-dimensional imaging, Simulation methods in education, Exposure therapy, Technology, Pain management, Virtual reality therapy, Narrative medicine

مستخلص: Virtual Reality (VR) technology offers new opportunities for the development of innovative clinical research, assessment, and intervention tools. VR-based testing, training, teaching, and treatment approaches that would be difficult, if not impossible to deliver using traditional methods are now being developed that take advantage of the assets that are available with VR technology. As research evidence continues to indicate clinical efficacy, VR applications are being increasingly regarded as providing innovative options for targeting the cognitive, psychological, motor, and functional impairments that result from various clinical health conditions. VR allows for the precise presentation and control of stimuli within dynamic multisensory 3-D computer generated simulations as well as providing advanced methods for capturing and quantifying behavioral responses. These characteristics support the rationale for the use of VR applications in clinical assessment, intervention, and training. This article begins with a brief review of the history and rationale for the use of VR with clinical populations. We then detail one use-case for the clinical application of VR—the exposure therapy treatment of anxiety disorders and post-traumatic stress disorder. While significant work is cited in other areas of Clinical VR (e.g., pain management, cognitive/physical assessment/rehabilitation, eating disorders, social skills/clinical training, etc.), a full overview of such a broad literature is beyond the scope of this article. Thus, we have opted to provide more in-depth analysis of one specific clinical area that clearly illustrates how VR has been successfully applied and is supported by an encouraging and evolving scientific literature. [ABSTRACT FROM AUTHOR]

المصدر: Publishers Weekly. 4/15/2024, Vol. 271 Issue 15, p39-39. 1/3p. 1 Color Photograph.

مصطلحات موضوعية: Happy hours, Sex toys, Anxiety disorders, Telephone numbers

المؤلفون: March, Sonja^1,2 sonja.march@usq.edu.au, Spence, Susan H.^3,4, Donovan, Caroline L.⁴, Kenardy, Justin A.⁵

المصدر: Journal of Medical Internet Research. Jul2018, Vol. 20 Issue 7, p61-75. 15p. 1 Diagram, 4 Charts, 3 Graphs.

مصطلحات موضوعية: *Teenagers, Feasibility studies, Youth, Anxiety disorders, Public health

مستخلص: Background: Internet-based cognitive behavioral therapy (iCBT) for child and adolescent anxiety has demonstrated efficacy in randomized controlled trials, but it has not yet been examined when disseminated as a public health intervention. If effective, iCBT programs could be a promising first-step, low-intensity intervention that can be easily accessed by young people.Objective: The objective of our study was to examine the feasibility and acceptability of a publicly available online, self-help iCBT program (BRAVE Self-Help) through exploration of program adherence, satisfaction, and changes in anxiety.Methods: This study was an open trial involving the analysis of data collected from 4425 children and adolescents aged 7-17 years who presented with elevated anxiety at registration (baseline) for the iCBT program that was delivered through an open-access portal with no professional support. We assessed the program satisfaction via a satisfaction scale and measured adherence via the number of completed sessions. In addition, anxiety severity was assessed via scores on the Children's Anxiety Scale, 8-item (CAS-8) at four time points: baseline, Session 4, Session 7, and Session 10.Results: Participants reported moderate satisfaction with the program and 30% completed three or more sessions. Statistically significant reductions in anxiety were evident across all time points for both children and adolescents. For users who completed six or more sessions, there was an average 4-point improvement in CAS-8 scores (Cohen d=0.87, children; Cohen d=0.81, adolescents), indicating a moderate to large effect size. Among participants who completed nine sessions, 57.7% (94/163) achieved recovery into nonelevated levels of anxiety and 54.6% (89/163) achieved statistically reliable reductions in anxiety.Conclusions: Participant feedback was positive, and the program was acceptable to most young people. Furthermore, significant and meaningful reductions in anxiety symptoms were achieved by many children and adolescents participating in this completely open-access and self-directed iCBT program. Our results suggest that online self-help CBT may offer a feasible and acceptable first step for service delivery to children and adolescents with anxiety. [ABSTRACT FROM AUTHOR]

المؤلفون: Yuen, Erica K.¹ eyuen@ut.edu, Gros, Kirstin², Welsh, Kyleen E.³, McCauley, Jenna³, Resnick, Heidi S.³, Danielson, Carla K.³, Price, Matthew⁴, Ruggiero, Kenneth J.⁵

المصدر: Health Informatics Journal. Sep2016, Vol. 22 Issue 3, p659-675. 17p.

مصطلحات موضوعية: *Application software, *Web development, *Research methodology, *Privacy, *User interfaces, *World Wide Web, Black people, Mental depression, Alcohol drinking, Emergency management, Hispanic Americans, Medical ethics, Mental health, Psychological tests, Research funding, Smoking, Psychological stress, White people, Anxiety disorders, Data security, Pre-tests & post-tests, Data analysis software

مستخلص: Technology-based self-help interventions have the potential to increase access to evidence-based mental healthcare, especially for families affected by natural disasters. However, development of these interventions is a complex process and poses unique challenges. Usability testing, which assesses the ability of individuals to use an application successfully, can have a significant impact on the quality of a self-help intervention. This article describes (a) the development of a novel web-based multi-module self-help intervention for disaster-affected adolescents and their parents and (b) a mixed-methods formal usability study to evaluate user response. A total of 24 adolescents were observed, videotaped, and interviewed as they used the depressed mood component of the self-help intervention. Quantitative results indicated an above-average user experience, and qualitative analysis identified 120 unique usability issues. We discuss the challenges of developing self-help applications, including design considerations and the value of usability testing in technology-based interventions, as well as our plan for widespread dissemination. [ABSTRACT FROM AUTHOR]

المؤلفون: Mylläri, Sanna¹ (AUTHOR), Saarni, Suoma Eeva² (AUTHOR), Ritola, Ville² (AUTHOR), Joffe, Grigori² (AUTHOR), Stenberg, Jan-Henry² (AUTHOR), Solbakken, Ole André³ (AUTHOR), Czajkowski, Nikolai Olavi^3,4 (AUTHOR), Rosenström, Tom¹ (AUTHOR)

المصدر: Journal of Medical Internet Research. Nov2022, Vol. 24 Issue 11, pN.PAG-N.PAG. 1p.

مصطلحات موضوعية: *Text mining, *Data mining, *Internet, Cognitive therapy, Generalized anxiety disorder, Multilevel models, Anxiety treatment, Anxiety disorders treatment, Treatment effectiveness, Arthritis Impact Measurement Scales

مستخلص: Background: Text mining methods such as topic modeling can offer valuable information on how and to whom internet-delivered cognitive behavioral therapies (iCBT) work. Although iCBT treatments provide convenient data for topic modeling, it has rarely been used in this context.Objective: Our aims were to apply topic modeling to written assignment texts from iCBT for generalized anxiety disorder and explore the resulting topics' associations with treatment response. As predetermining the number of topics presents a considerable challenge in topic modeling, we also aimed to explore a novel method for topic number selection.Methods: We defined 2 latent Dirichlet allocation (LDA) topic models using a novel data-driven and a more commonly used interpretability-based topic number selection approaches. We used multilevel models to associate the topics with continuous-valued treatment response, defined as the rate of per-session change in GAD-7 sum scores throughout the treatment.Results: Our analyses included 1686 patients. We observed 2 topics that were associated with better than average treatment response: "well-being of family, pets, and loved ones" from the data-driven LDA model (B=-0.10 SD/session/∆topic; 95% CI -016 to -0.03) and "children, family issues" from the interpretability-based model (B=-0.18 SD/session/∆topic; 95% CI -0.31 to -0.05). Two topics were associated with worse treatment response: "monitoring of thoughts and worries" from the data-driven model (B=0.06 SD/session/∆topic; 95% CI 0.01 to 0.11) and "internet therapy" from the interpretability-based model (B=0.27 SD/session/∆topic; 95% CI 0.07 to 0.46).Conclusions: The 2 LDA models were different in terms of their interpretability and broadness of topics but both contained topics that were associated with treatment response in an interpretable manner. Our work demonstrates that topic modeling is well suited for iCBT research and has potential to expose clinically relevant information in vast text data. [ABSTRACT FROM AUTHOR]