scholarly journals “Clean Air for Babies” App: A smoking cessation mobile app based on Cognitive Behavioral Therapy combined with personal counseling to help expectant mothers quit smoking.

2018 ◽  
Vol 16 (3) ◽  
Author(s):  
Ohad Ashur ◽  
Nimrod Levine ◽  
Benjamin Chayen ◽  
Shosh Karni ◽  
Liora Valinsky
Keyword(s):  
Smoking Cessation ◽  
Cognitive Behavioral Therapy ◽  
Behavioral Therapy ◽  
Mobile App ◽  
Cognitive Behavioral ◽  
Personal Counseling ◽  
Quit Smoking ◽  
Clean Air ◽  
Expectant Mothers

A pilot trial of bupropion added to cognitive behavioral therapy for smoking cessation in schizophrenia

2001 ◽  
Vol 3 (4) ◽  
pp. 397-403 ◽  
Author(s):  
A. Eden Evins ◽  
Virginia K. Mays ◽  
Nancy A. Rigotti ◽  
Thelma Tisdale ◽  
Corinne Cather ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Cognitive Behavioral Therapy ◽  
Behavioral Therapy ◽  
Pilot Trial ◽  
Cognitive Behavioral

scholarly journals CBT-I Coach: A Description and Clinician Perceptions of a Mobile App for Cognitive Behavioral Therapy for Insomnia

2016 ◽  
Vol 12 (04) ◽  
pp. 597-606 ◽  
Author(s):  
Eric Kuhn ◽  
Brandon J. Weiss ◽  
Katherine L. Taylor ◽  
Julia E. Hoffman ◽  
Kelly M. Ramsey ◽  
...  
Keyword(s):  
Cognitive Behavioral Therapy ◽  
Behavioral Therapy ◽  
Mobile App ◽  
Cognitive Behavioral

Cognitive–behavioral therapy to reduce weight concerns improves smoking cessation outcome in weight-concerned women.

2001 ◽  
Vol 69 (4) ◽  
pp. 604-613 ◽  
Author(s):  
Kenneth A. Perkins ◽  
Marsha D. Marcus ◽  
Michele D. Levine ◽  
Delia D'Amico ◽  
Amy Miller ◽  
...  
Keyword(s):  
Smoking Cessation ◽  
Cognitive Behavioral Therapy ◽  
Behavioral Therapy ◽  
Cognitive Behavioral ◽  
Weight Concerns ◽  
Smoking Cessation Outcome

scholarly journals Mobile Intervention to Improve Sleep and Functional Health of Veterans With Insomnia: Randomized Controlled Trial (Preprint)

2021 ◽  
Author(s):  
Erin Dawna Reilly ◽  
Stephanie A Robinson ◽  
Beth Ann Petrakis ◽  
Melissa M Gardner ◽  
Renda Soylemez Wiener ◽  
...  
Keyword(s):  
Posttraumatic Stress Disorder ◽  
Sleep Apnea ◽  
Cognitive Behavioral Therapy ◽  
Posttraumatic Stress ◽  
Stress Disorder ◽  
Behavioral Therapy ◽  
Mobile App ◽  
Lifestyle Changes ◽  
Cognitive Behavioral ◽  
Subjective Sleep

BACKGROUND Insomnia is a prevalent and debilitating disorder among veterans. Cognitive behavioral therapy for insomnia (CBTI) can be effective for treating insomnia, although many cannot access this care. Technology-based solutions and lifestyle changes, such as physical activity (PA), offer affordable and accessible self-management alternatives to in-person CBTI. OBJECTIVE This study aims to extend and replicate prior pilot work to examine whether the use of a mobile app for CBTI (cognitive behavioral therapy for insomnia coach app [CBT-i Coach]) improves subjective and objective sleep outcomes. This study also aims to investigate whether the use of the CBT-i Coach app with adjunctive PA improves sleep outcomes more than CBT-i Coach alone. METHODS A total of 33 veterans (mean age 37.61 years, SD 9.35 years) reporting chronic insomnia were randomized to use either the CBT-i Coach app alone or the CBT-i Coach app with a PA intervention over 6 weeks, with outcome measures of objective and subjective sleep at pre- and posttreatment. RESULTS Although the PA manipulation was unsuccessful, both groups of veterans using the CBT-i Coach app showed significant improvement from baseline to postintervention on insomnia (<i>P</i>&lt;.001), sleep quality (<i>P</i>&lt;.001), and functional sleep outcomes (<i>P</i>=.002). Improvements in subjective sleep outcomes were similar in those with and without posttraumatic stress disorder and mild-to-moderate sleep apnea. We also observed a significant but modest increase in objective sleep efficiency (<i>P</i>=.02). CONCLUSIONS These findings suggest that the use of a mobile app–delivered CBTI is feasible and beneficial for improving sleep outcomes in veterans with insomnia, including those with comorbid conditions such as posttraumatic stress disorder or mild-to-moderate sleep apnea. CLINICALTRIAL ClinicalTrials.gov NCT03305354; https://clinicaltrials.gov/ct2/show/NCT03305354

NoFumo+: Mobile Health App to quit smoking using Cognitive-behavioral Therapy. (Preprint)

2020 ◽  
Author(s):  
Patricia García-Pazo ◽  
Joana Fornés-Vives ◽  
Albert Sesé Abad
Keyword(s):  
Cognitive Behavioral Therapy ◽  
Mobile Health ◽  
Scientific Community ◽  
Behavioral Therapy ◽  
Smoking Behavior ◽  
Healthcare Research ◽  
Cognitive Behavioral ◽  
Clinical Group ◽  
Quit Smoking ◽  
Mhealth Apps

BACKGROUND Despite the rapid growth of mobile health (mHealth) apps for smoking cessation, it is difficult to find any that integrate effective treatments such as those recommended in clinical practice guidelines (CPG) and cognitive behavioral therapy (CBT). OBJECTIVE This paper aims to describe the development of an mHealth app to quit smoking that implements CBT, drawing on the potential of smartphones and complying with the demands of the scientific community and the CPG recommendations. METHODS Creation of a mobile application to quit smoking based on the standards for the development of mHealth apps recommended by the Andalusian Healthcare Quality Agency and the Catalonian ICT Foundation for Social Health. To design the app, a multidisciplinary team was formed (healthcare, research, and IT) that made decisions about the scientific base to be incorporated in developing the techniques and the pilot program with two groups (experts and experimental) to test the app’s usability. RESULTS Pilot study of the app with a group of experts and a clinical group is described. The first group positively evaluates the application and identifies it as easy and intuitive to use. They suggest some changes to improve it, such as incorporating tutorial videos into the texts about the using the app and adding more gamification elements. The experimental group rates the app as easy to understand (100%) and finds it quite useful to have the information available at all times. The mobile health app, called NoFumo+, is available for both operating systems (Android and Apple). Its design includes icons with universal codes, it follows the CPG 5A recommendations, and it incorporates a multi-component CBT program to maintain abstinence from smoking. All of this is accompanied by complementary information, monitoring of the smoking behavior, social support for users, proposals for alternative activities to smoking, and gamification to encourage and reward adherence to the program. CONCLUSIONS No Fumo+ is easily an accessible and useful mHealth, meets the requirements of the scientific community, and implements a multi-component CBT program.

Effectiveness of Self-Guided Virtual Reality-based Cognitive Behavioral Therapy for Panic Disorder (Preprint)

2021 ◽  
Author(s):  
Bokyoung Shin ◽  
Jooyoung Oh ◽  
Byung-Hoon Kim ◽  
Hesun Erin Kim ◽  
Hyunji Kim ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Panic Disorder ◽  
Cognitive Behavioral Therapy ◽  
Behavioral Therapy ◽  
Mobile App ◽  
Cognitive Behavioral ◽  
Sensitivity Index ◽  
Time Interaction ◽  
Panic Symptoms ◽  
Distress Scale

BACKGROUND Virtual reality (VR) is an effective technique as a traditional cognitive behavioral therapy (CBT) and a promising tool for treating panic disorder (PD) symptoms because VR exposure can be safer, with higher acceptability, than in vivo exposure; it is more immersive than exposure through imagination. CBT techniques can be delivered more effectively using VR. Thus far, VR has required high quality devices; however, the development of mobile VR technology has improved users' availability. Meanwhile, a well-structured form of VR can be reproduced and used anywhere, which means that VR is appropriate for self–guided treatment to address the high-treatment costs of evidence–based therapy and the lack of professional therapists. This study investigates the potential of self-guided VR as an alternative to high-cost treatment. OBJECTIVE The study’s main goal is to offer data about the efficacy of the mobile app–based self-led VR CBT in the treatment of PD. METHODS 54 subjects with PD were enrolled and randomly assigned to either the VR treatment group or waitlist group. The VR treatment was designed for a total of 12 sessions in 4 weeks. The VR comprises 4 steps in which patients are gradually exposed to phobic stimuli while learning to cope with panic symptoms. The effectiveness of the treatment was assessed through the PD Severity Scale (PDSS), the Hamilton Rating Scale for Depression (HRSD), the body sensation questionnaire (BSQ), the Albany Panic and Phobia Questionnaire (APPQ), the Anxiety Sensitivity Index (ASI), the state-trait anxiety inventory (STAI), the hospital anxiety and depression scale (HADS), the social avoidance and distress scale (K-SAD), the inventory for depressive symptomatology self-report (KIDS-SR), and the perceived stress scale, (PSS). Additionally, physiological changes using heart rate variability (HRV) were evaluated. RESULTS In total, 40 subjects (20 VR treatment and 20 waitlist patients) were included in the final analysis. For the PDSS scores, the main time (F_1,39 = 20.76, P < 0.01, η_p^2 = 0.09) and group-by-time interaction (F_1,39 = 10.59, P < 0.01, η_p^2 = 0.04) effects were significant. The post-hoc tests showed that the PDSS scores decreased significantly in the VR group (t_37 = 2.68; P = 0.01), but not in the waitlist group. The group-by-time interaction effect on the HADS total scores (F_1,39 = 5.51, P = 0.02, η_p^2 = 0.01) was significant, as was the main time effect on the STAI_total (F_1,39 = 4.32; P = 0.04) and STAI_S (F_1,39 = 6.00; P = 0.01) scores; however, there were no statistically significant between-group differences on the other scales. CONCLUSIONS The self-guided, mobile app–based VR was effective in treating panic symptoms and helped restore the autonomic nervous system, demonstrating the validity of VR for self-guided treatment and its cost-effective therapeutic approach.

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