Association Between Improvement in Baseline Mood and Long-Term Use of a Mindfulness and Meditation App: Observational Study

App-based meditation habits maintain reductions in depression symptoms among autistic adults

LAY ABSTRACT

Existing research has identified an increased risk of depression among autistic adults, which can negatively impact their adaptive functioning abilities and socioeconomic outcomes. Mobile app-based meditation is a feasible, accessible, and effective self-care solution for depression among neurotypical adults, but there is limited evidence for the long-term benefits of app-based meditation among autistic adults. Habits are a key behavioral strategy for maintaining behavior change, and anchoring is one effective habit formation intervention that has yet to be tested among autistic adults. This study demonstrates that it is both feasible and effective to integrate the anchoring habit formation strategy into an app-based meditation intervention for establishing meditation habits among autistic adults. In addition, the study shows that app-based meditation habits were successful at maintaining reductions in depressive symptoms over 6 months. These results demonstrate the power of anchoring-based habit formation interventions for establishing healthy habits among autistic adults, which offers a promising behavioral intervention technique for establishing other healthy habits among autistic adults. The study also shows that app-based meditation habits are an effective long-term self-care solution for managing depressive symptoms among autistic adults that should be used by mental health providers and policymakers. Future research should test this combined anchoring and app-based meditation intervention technique among larger samples of autistic adults and over longer durations to better understand the mechanisms underlying the success of this intervention.

Mindfulness and clinical correlates in methamphetamine use disorder

BACKGROUND

Mindfulness-based interventions are increasingly used for the treatment of substance use disorders, including methamphetamine use disorder (MUD). Literature indicates that trait mindfulness may play a key role in the effectiveness of these treatments on therapeutic outcome, yet no prior studies have tested for differences in trait mindfulness between individuals with MUD and healthy control participants. Such differences are important for treatment implementation.

OBJECTIVES

The goals of this study were to evaluate trait mindfulness and to determine its clinical correlates in individuals with MUD.

METHODS

A group of participants with MUD at varying lengths of abstinence from methamphetamine (< 1h to 90 days; mean 5.4 ± 12.5 days; N=95, 53 female, 42 male) and a healthy control group (N=65, 30 female, 35 male) completed the Mindfulness Attention Awareness Scale (MAAS). Group differences and relationships between trait mindfulness and several measures of drug use and psychiatric symptoms were evaluated.

RESULTS

In participants with MUD, trait mindfulness was 10% lower than in healthy controls (p < 0.001), but it was not significantly correlated with measures of drug use or craving. Across both groups, trait mindfulness was negatively correlated with state anxiety, depression, emotional dysregulation, impulsivity, and a history of childhood trauma, while it was positively correlated with self-compassion (ps < 0.001).

CONCLUSION

The deficit in trait mindfulness in MUD presents a capacity that can be targeted for improved treatment outcome with mindfulness-based therapies. Trait mindfulness is inversely related to mood dysregulation.

Comparative effectiveness and acceptability of psychotherapies for late-life depression: A systematic review and network meta-analysis

BACKGROUND

The purpose of this systematic review and network meta-analysis is to compare the effectiveness and acceptability of psychotherapies for late-life depression.

METHODS

We searched PubMed, Embase, PsycINFO, CINAHL, The Cochrane Library, China National Knowledge Infrastructure, WANFANG database, and Chinese Biomedicine literature (CBM) for randomized controlled trials (RCTs) from their respective inception dates to March 30, 2022. Comparative effectiveness and acceptability of these psychological interventions were evaluated by conducting standard pairwise meta-analyses and network meta-analyses. A battery of analyses and assessments, such as the risk of bias and certainty of the evidence were performed.

RESULTS

A total of 68 studies with 4550 participants on six psychotherapies compared with two control groups were included in the final analysis. Notably, there were no statistically significant differences between behavioral activation therapy, cognitive behavior therapy (CBT), cognitive therapy, life review therapy, mindfulness, and combined psychotherapy. Compared with the non-active control group, six psychological interventions were statistically effective in reducing depression symptoms (standardized mean differences (SMDs) range, -1.08 to -0.73). While, only CBT, life review therapy, mindfulness, and combined psychotherapy were more effective than the active control group (SMDs range, -0.85 to -0.74). Life review therapy was ranked as the best option according to effectiveness and acceptability, while behavioral activation therapy was the worst by acceptability. The certainty of the evidence was mostly rated as low to very low.

CONCLUSIONS

Despite the scarcity of high-quality evidence, all six psychotherapies were effective for late-life depression, and life review therapy seemed to be the best choice in terms of effectiveness and acceptability. The findings of our review could provide policymakers and service commissioners with evidence-based practice for making decisions among different psychotherapies.

Pilot evaluation of the stop, breathe & think mindfulness app for student clients on a college counseling center waitlist

Objectives: College counseling centers face significant challenges meeting the mental health needs of their students and waitlists are common. Mobile apps offer a promising solution to increase access to resources while students wait for services. Methods: This pilot randomized controlled trial evaluated the feasibility and acceptability of a publicly available mindfulness app. Students on a counseling center waitlist (n = 23) were randomized to use the app or not, with assessments completed over four weeks. Results: Recruitment over three semesters was slow, leading to an underpowered trial. Participants reported high satisfaction and moderate app usage. Very preliminary support was found for potential app efficacy relative to the control condition, particularly for depression, anxiety, and overall distress. Weaker, mixed effects were found for mindfulness and values processes. Conclusions: Overall, these results provide mixed findings suggesting the potential benefits, but also challenges in using a mindfulness app for students waiting to receive counseling services.

Using Personalized Anchors to Establish Routine Meditation Practice With a Mobile App: Randomized Controlled Trial

BACKGROUND

Physical and mental health benefits can be attained from persistent, long-term performance of mindfulness meditation with a mobile meditation app, but in general, few mobile health app users persistently engage at a level necessary to attain the corresponding health benefits. Anchoring or pairing meditation with a mobile app to an existing daily routine can establish an unconsciously initiated meditation routine that may improve meditation persistence.

OBJECTIVE

The purpose of this study was to test the use of either personalized anchors or fixed anchors for establishing a persistent meditation app routine with the mobile app, Calm.

METHODS

We conducted a randomized controlled trial and randomly assigned participants to one of 3 study groups: (1) a personalized anchor (PA) group, (2) fixed anchor (FA) group, or (3) control group that did not use the anchoring strategy. All participants received app-delivered reminder messages to meditate for at least 10 minutes a day using the Calm app for an 8-week intervention period, and app usage data continued to be collected for an additional 8-week follow-up period to measure meditation persistence. Baseline, week 8, and week 16 surveys were administered to assess demographics, socioeconomic status, and changes in self-reported habit strength.

RESULTS

A total of 101 participants across the 3 study groups were included in the final analysis: (1) PA (n=56), (2) FA (n=49), and (3) control group (n=62). Participants were predominantly White (83/101, 82.2%), female (77/101, 76.2%), and college educated (ie, bachelor's or graduate degree; 82/101, 81.2%). The FA group had a significantly higher average odds of daily meditation during the intervention (1.14 odds ratio [OR]; 95% CI 1.02-1.33; P=.04), and all participants experienced a linear decline in their odds of daily meditation during the 8-week intervention (0.96 OR; 95% CI 0.95-0.96; P<.001). Importantly, the FA group showed a significantly smaller decline in the linear trend of their odds of daily meditation during the 8-week follow-up (their daily trend increased by 1.04 OR from their trend during the intervention; 95% CI 1.01-1.06; P=.03). Additionally, those who more frequently adhered to their anchoring strategy during the intervention typically used anchors that occurred in the morning and showed a significantly smaller decline in their odds of daily meditation during the 8-week follow-up period (1.13 OR; 95% CI 1.02-1.35; P=.007).

CONCLUSIONS

The FA group had more persistent meditation with the app, but participants in the FA or PA groups who more frequently adhered to their anchoring strategy during the intervention had the most persistent meditation routines, and almost all of these high anchorers used morning anchors. These findings suggest that the anchoring strategy can create persistent meditation routines with a mobile app. However, future studies should combine anchoring with additional intervention tools (eg, incentives) to help more participants successfully establish an anchored meditation routine.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04378530; https://clinicaltrials.gov/ct2/show/NCT04378530.

Goldilocks and the Three Bears: A Just-Right Hybrid Model to Synthesize the Growing Landscape of Publicly Available Health-Related Mobile Apps

Mobile health (mHealth) technologies have provided an innovative platform for the deployment of health care diagnostics, symptom monitoring, and prevention and intervention programs. Such health-related smartphone apps are universally accepted by patients and providers with over 50 million users worldwide. Despite the rise in popularity and accessibility among consumers, the evidence base in support of health-related apps has fallen well behind the rapid pace of industry development. To bridge this evidence gap, researchers are beginning to consider how to best apply evidence-based research standards to the systematic synthesis of the mHealth consumer market. In this viewpoint, we argue for the adoption of a "hybrid model" that combines a traditional systematic review with a systematic search of mobile app download platforms for health sciences researchers interested in synthesizing the state of the science of consumer apps. This approach, which we have successfully executed in a recent review, maximizes the benefits of traditional and novel approaches to address the essential question of whether popular consumer mHealth apps work.

Characterizing Emotional State Transitions During Prolonged Use of a Mindfulness and Meditation App: Observational Study

BACKGROUND

The increasing demand for mental health care, a lack of mental health care providers, and unequal access to mental health care services have created a need for innovative approaches to mental health care. Digital device apps, including digital therapeutics, that provide recommendations and feedback for dealing with stress, depression, and other mental health issues can be used to adjust mood and ultimately show promise to help meet this demand. In addition, the recommendations delivered through such apps can also be tailored to an individual's needs (ie, personalized) and thereby potentially provide greater benefits than traditional "one-size-fits-all" recommendations.

OBJECTIVE

This study aims to characterize individual transitions from one emotional state to another during the prolonged use of a digital app designed to provide a user with guided meditations based on their initial, potentially negative, emotional state. Understanding the factors that mediate such transitions can lead to improved recommendations for specific mindfulness and meditation interventions or activities (MMAs) provided in mental health apps.

METHODS

We analyzed data collected during the use of the Stop, Breathe & Think (SBT) mindfulness app. The SBT app prompts users to input their emotional state before and immediately after engaging with MMAs recommended by the app. Data were collected from more than 650,000 SBT users engaging in nearly 5 million MMAs. We limited the scope of our analysis to users with 10 or more MMA sessions that included at least 6 basal emotional state evaluations. Using clustering techniques, we grouped emotions recorded by individual users and then applied longitudinal mixed effect models to assess the associations between individual recommended MMAs and transitions from one group of emotions to another.

RESULTS

We found that basal emotional states have a strong influence on transitions from one emotional state to another after MMA engagement. We also found that different MMAs impact these transitions, and many were effective in eliciting a healthy transition but only under certain conditions. In addition, we observed gender and age effects on these transitions.

CONCLUSIONS

We found that the initial emotional state of an SBT app user determines the type of SBT MMAs that will have a favorable effect on their transition from one emotional state to another. Our results have implications for the design and use of guided mental health recommendations for digital device apps.

Stay Present with Your Phone: A Systematic Review and Standardized Rating of Mindfulness Apps in European App Stores

BACKGROUND

Mindfulness-based interventions show positive effects on physical and mental health. For a better integration of mindfulness techniques in daily life, the use of apps may be promising. However, only a few studies have examined the quality of mindfulness apps using a validated standardized instrument. This review aims to evaluate the content, quality, and privacy features of mindfulness-focused apps from European commercial app stores.

METHODS

An automated search engine (webcrawler) was used to identify mindfulness-focused apps in the European Apple App- and Google Play store. Content, quality, and privacy features were evaluated by two independent reviewers using the Mobile Application Rating Scale (MARS). The MARS assesses the subscales engagement, functionality, aesthetics, and information quality.

RESULTS

Out of 605 identified apps, 192 met the inclusion criteria. The overall quality was moderate (M = 3.66, SD = 0.48). Seven apps were tested in a randomized controlled trial (RCT). Most of the apps showed a lack of data security and no privacy policy. The five apps with the highest ratings are from a credible source, include a privacy policy, and are also based on standardized mindfulness and behavior change techniques.

CONCLUSIONS

The plethora of often low-quality apps in commercial app stores makes it difficult for users to identify a suitable app. Above that, the lack of scientific verification of effectiveness and shortcomings in privacy protection and security poses potential risks. So far, the potential of mindfulness-focused apps is not exploited in commercial app stores.

Complementary and Alternative Medicine Use in Rheumatoid Arthritis

PURPOSE OF REVIEW

Despite advances in pharmacologic management of rheumatoid arthritis (RA), complementary and alternative medicine (CAM) remains popular adjuncts to therapy among patients for ongoing symptomatology.

RECENT FINDINGS

Mind-body interventions are becoming increasingly popular, including yoga and meditation. Randomized controlled trials have found these interventions to be helpful regarding pain, mood, and energy in RA patients. Other CAM modalities, such as natural products, special diets, acupuncture, and body-based therapies, also continue to be used by RA patients with limited evidence for efficacy and safety. While there are numerous CAM interventions available, the data is very limited at this time with only low-quality evidence supporting various therapies. Medical providers are more open to the addition of CAM in their patients and require increased education on the topic. Additional research needs to be conducted in order to provide evidence-based recommendations to our patients.

Addressing Racial Biases in Medicine: A Review of the Literature, Critique, and Recommendations

This article reviews the literature on racism in medicine in the United States and reflects on the persistent barriers to diminishing racial biases in the U.S. health care system. Espoused strategies for decreasing racial disparities and reducing racial biases among physicians are critiqued, and recommendations are offered. Those recommendations include increasing the number of minority students in medical school, using Xavier University in New Orleans, Louisiana, as the model for medical school preparation; revamping the teaching of cultural competence; ensuring the quality of non-clinical staff; and reducing the risk of burnout among medical providers.

Android and iPhone Mobile Apps for Psychosocial Wellness and Stress Management: Systematic Search in App Stores and Literature Review

BACKGROUND

In an oversaturated market of publicly available mobile apps for psychosocial self-care and stress management, health care providers, patients, and consumers interested in mental health-related apps may wonder which, if any, are efficacious. Readily available metrics for consumers include user popularity and media buzz rather than scientific evidence.

OBJECTIVE

This systematic review aimed to (1) examine the breadth of therapeutic contents and features of psychosocial wellness and stress management apps available to self-help seekers for public download and (2) determine which of these apps have original research support.

METHODS

First, we conducted a systematic review of publicly available apps on the iPhone App Store (Apple Inc) and Android Google Play (Google LLC) platforms using conventional self-help-seeking search terms related to wellness and stress. The results were limited to English-language apps available for free download. In total, 2 reviewers independently evaluated all apps and discussed the findings to reach 100% consensus regarding inclusion. Second, a literature review was conducted on the included apps to identify supporting studies with original data collection.

RESULTS

We screened 3287 apps and found 1009 psychosocial wellness and stress management apps. Content varied widely. The most common evidence-based strategy was mindfulness-meditation, followed by positive psychology and goal setting. Most apps were intended to be used as self-help interventions, with only 1.09% (11/1009) involving an electronic therapist and 1.88% (19/1009) designed as a supplement to in-person psychotherapy. Only 4.66% (47/1009) of apps targeted individuals with psychological disorders, and less than 1% of apps (6/1009, 0.59%) targeted individuals with other chronic illnesses. Approximately 2% (21/1009, 2.08%) were supported by original research publications, with a total of 25 efficacy studies and 10 feasibility studies. The Headspace mindfulness app had the most evidence, including 8 efficacy studies. Most other scientifically backed apps were supported by a single feasibility or efficacy study.

CONCLUSIONS

Only 2.08% (21/1009) of publicly available psychosocial wellness and stress management mobile apps discoverable to self-help seekers have published, peer-reviewed evidence of feasibility and/or efficacy. Clinicians and investigators may use these findings to help patients and families navigate the volume of emerging digital health interventions for stress management and wellness.

Effects of a 12-Minute Smartphone-Based Mindful Breathing Task on Heart Rate Variability for Students With Clinically Relevant Chronic Pain, Depression, and Anxiety: Protocol for a Randomized Controlled Trial

Background

Mindfulness meditation (MM) is a commonly used psychological intervention for pain, mood, and anxiety conditions, but can be challenging to practice with severe symptoms without proper training. The Mindfulness Meditation app (MMA) is a supportive training tool specifically developed for this study to aid in the practice of mindful breathing using a smartphone.

Objective

This study aims to evaluate the psychophysiological effects of the MMA. Specifically, the study will assess parasympathetic functioning using heart rate variability (HRV; primary outcome), pain and mood symptoms, mind-wandering and present moment awareness, and breath focus in groups of undergraduate participants who self-report clinically-relevant symptoms of chronic pain (CP) and depression or anxiety (DA) and condition-free (CF) participants who do not meet either criteria. We hypothesize that use of the MMA by study groups will lead to improved HRV, pain, and mood symptoms compared with groups who do not use the app.

Methods

This study is a two-arm randomized controlled trial (RCT) recruiting through a Web-based research participation pool at York University in Toronto, Canada. We are aiming for minimum 60 participants in each of CP, DA, and CF groups. Upon arriving to the laboratory, participants will be prescreened for classification into groups of CP, DA, or CF. Groups will be randomly assigned by a 1:1 ratio to an MMA (MMA+) condition or MM condition without the app (MMA−) after a brief stress induction procedure. In MMA+, participants will practice mindful breathing with a smartphone and press breath or other buttons at the sound of audio tones if their awareness was on breathing or another experience, respectively. HRV and respiration data will be obtained during rest (5 min), stress induction (5 min), and meditation conditions (12 min). Participants will complete psychological self-report inventories before and after the stress induction and after the meditation condition. Separate linear mixed models will be used to examine HRV and self-report inventories comparing groups and treatment conditions.

Results

Recruitment for the study began in November 2017 and is expected to be completed in winter of 2019-2020. As of July 2019, 189 participants have been recruited. The study’s main findings are expected to reveal a positive pattern of HRV responses in the CP, DA, and CF groups, such that a significant increase in HRV (P<.05) is detected in those randomized to the MMA+ condition in comparison with those randomized to the MMA− condition.

Conclusions

This RCT will contribute to the burgeoning health psychology literature regarding the clinical relevance of HRV in assessment and treatment of psychological and medical conditions. Furthermore, possible ways to inform designs of MM training tools delivered by apps and Web platforms for CP, depression, and anxiety conditions’ treatment will be discussed.

Trial Registration

Clinicaltrials.gov NCT03296007; https://clinicaltrials.gov/ct2/show/NCT03296007.

International Registered Report Identifier (IRRID)

DERR1-10.2196/14119