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The rapid growth of consumer sleep technology demonstrates the population's interest in measuring sleep. However, the extent to which these devices can be used in the delivery of behavioral sleep interventions is currently unknown. The objectives of this systematic review were to evaluate the use of consumer sleep technology (wearable and mobile) in behavioral sleep medicine interventions, identify gaps in the literature and potential future directions. We completed a scoping review of studies conducted in adult populations that used consumer sleep tracking technology to deliver sleep-related interventions. Our initial search returned 4,538 articles and 14 articles met our inclusion/exclusion criteria. Results demonstrated that wearable devices are being used for two main purposes: 1. To deliver treatment for insomnia and 2. Sleep monitoring as part of overall wellness programs. Half of the articles reviewed (n = 7) used consumer sleep technology in a cognitive behavioral therapy for insomnia. The majority of the studies reviewed (n = 10) were fully digital, without human intervention, and only two small studies evaluated interventions delivered with and without a sleep tracking device. These studies demonstrate opportunities to utilize consumer sleep trackers in insomnia treatment and wellness programs, but most new and innovative interventions are in the early, feasibility stages. Future research is needed to determine how to leverage wearables to improve existing behavioral sleep treatments and determine how this technology can engage patients and reduce barriers to behavioral sleep medicine interventions. [ABSTRACT FROM AUTHOR]

Background: Approximately 4% to 8% of pregnant individuals meet the criteria for current posttraumatic stress disorder (PTSD), a known risk factor for a multitude of adverse maternal and child health outcomes. However, PTSD is rarely detected or treated in obstetric settings. Moreover, available prenatal PTSD treatments require in-person services that are often inaccessible due to barriers to care. Thus, web-based interventions offer great potential in extending PTSD treatment to high-risk pregnant individuals by providing affordable, accessible care. However, there are currently no web-based interventions designed specifically for the treatment of PTSD symptoms during pregnancy., Objective: This study aims to develop and pilot a 6-week, web-based, cognitive behavioral therapy intervention for PTSD, SunnysideFlex, in a sample of 10 pregnant women with current probable PTSD. Consistent with established guidelines for developing and testing novel interventions, the focus of this pilot study was to evaluate the initial feasibility and acceptability of the SunnysideFlex intervention and preintervention to postintervention changes in PTSD and depression symptoms. This approach will allow for early refinement and optimization of the SunnysideFlex intervention to increase the odds of success in a larger-scale clinical trial., Methods: The SunnysideFlex intervention adapted an existing web-based platform for postpartum depression, Sunnyside for Moms, to include revised, trauma-focused content. A total of 10 pregnant women in weeks 16 to 28 of their pregnancy who reported lifetime interpersonal trauma exposure (ie, sexual or physical assault) and with current probable PTSD (scores ≥33 per the PTSD checklist for DSM-5) were enrolled in the SunnysideFlex intervention. Assessments took place at baseline and 6 weeks (postintervention)., Results: All participants were retained through the postintervention assessment period. Engagement was high; participants on average accessed 90% of their lessons, logged on to the platform at least weekly, and reported a generally positive user experience. Moreover, 80% (8/10) of participants demonstrated clinically meaningful reductions in PTSD symptoms from baseline to postintervention, and 50% (5/10) of participants no longer screened positive for probable PTSD at postintervention. Most (6/10, 60%) of the participants maintained subclinical depression symptoms from baseline to postintervention., Conclusions: Findings from this small pilot study indicate that SunnysideFlex may be a feasible and acceptable mechanism for delivering PTSD intervention to high-risk, trauma-exposed pregnant women who might otherwise not have opportunities for services. Larger-scale trials of the intervention are necessary to better understand the impact of SunnysideFlex on PTSD symptoms during pregnancy and the postpartum period., (©Katherine C Paltell, Jennifer Duffecy, Pauline M Maki, Shiva Edalatian Zakeri, Anka A Vujanovic, Erin C Berenz. Originally published in JMIR Formative Research (https://formative.jmir.org), 01.11.2024.)

Background: Passive sensing through smartphone keyboard data can be used to identify and monitor symptoms of mood disorders with low participant burden. Behavioral phenotyping based on mobile keystroke data can aid in clinical decision-making and provide insights into the individual symptoms of mood disorders., Objective: This study aims to derive digital phenotypes based on smartphone keyboard backspace use among 128 community adults across 2948 observations using a Bayesian mixture model., Methods: Eligible study participants completed a virtual screening visit where all eligible participants were instructed to download the custom-built BiAffect smartphone keyboard (University of Illinois). The BiAffect keyboard unobtrusively captures keystroke dynamics. All eligible and consenting participants were instructed to use this keyboard exclusively for up to 4 weeks of the study in real life, and participants' compliance was checked at the 2 follow-up visits at week 2 and week 4. As part of the research protocol, every study participant underwent evaluations by a study psychiatrist during each visit., Results: We found that derived phenotypes were associated with not only the diagnoses and severity of depression and mania but also specific individual symptoms. Using a linear mixed-effects model with random intercepts accounting for the nested data structure from daily data, the backspace rates on the continuous scale did not differ between participants in the healthy control and in the mood disorders groups (P=.11). The 3-class model had mean backspace rates of 0.112, 0.180, and 0.268, respectively, with a SD of 0.048. In total, 3 classes, respectively, were estimated to comprise 37.5% (n=47), 54.4% (n=72), and 8.1% (n=9) of the sample. We grouped individuals into Low, Medium, and High backspace rate groups. Individuals with unipolar mood disorder were predominantly in the Medium group (n=54), with some in the Low group (n=27) and a few in the High group (n=6). The Medium group, compared with the Low group, had significantly higher ratings of depression (b=2.32, P=.008). The High group was not associated with ratings of depression with (P=.88) or without (P=.27) adjustment for medication and diagnoses. The High group, compared with the Low group, was associated with both nonzero ratings (b=1.91, P=.02) and higher ratings of mania (b=1.46, P<.001). The High group, compared with the Low group, showed significantly higher odds of elevated mood (P=.03), motor activity (P=.04), and irritability (P<.05)., Conclusions: This study demonstrates the promise of mobile typing kinematics in mood disorder research and practice. Monitoring a single mobile typing kinematic feature, that is, backspace rates, through passive sensing imposes a low burden on the participants. Based on real-life keystroke data, our derived digital phenotypes from this single feature can be useful for researchers and practitioners to distinguish between individuals with and those without mood disorder symptoms., (©Qimin Liu, Emma Ning, Mindy K Ross, Andrea Cladek, Sarah Kabir, Amruta Barve, Ellyn Kennelly, Faraz Hussain, Jennifer Duffecy, Scott A Langenecker, Theresa M Nguyen, Theja Tulabandhula, John Zulueta, Alexander P Demos, Alex Leow, Olusola Ajilore. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 29.10.2024.)

Background: Older adults with multiple sclerosis (MS) present with low physical activity participation, cognitive and ambulatory dysfunctions, and compromised quality of life (QOL)., Objective: We propose a NIH Stage-I, randomized controlled trial (RCT) that examines the feasibility and efficacy of a 16-week theory-based, remotely-delivered, exercise training program for improving cognitive and physical functions in older adults with MS who have moderate mobility disability without severe cognitive impairment., Methods: This Stage-I study utilizes a parallel-group RCT design. Participants (N = 50; age ≥ 50 years) will be randomly assigned into exercise training (combined aerobic and resistance exercise) or active control (flexibility and stretching) conditions. The conditions will be undertaken within a participant's home/community over a 16-week period, and monitored remotely and supported by Zoom-based chats guided by social cognitive theory (SCT) via a behavioral coach. Participants will receive training manuals and equipment, one-on-one behavioral coaching, action-planning calendars, self-monitoring logs, and SCT-based newsletters. The primary outcomes include feasibility (e.g., recruitment and retention rates), exercise behavior and physical activity; other outcomes include physical function (lower-extremity function, mobility, walking), cognition (processing speed, learning and memory, executive function), MS symptoms, QOL, and vascular function. We will collect outcome data at baseline (Week 0), post-intervention (Week 16), and follow-up (Week-32). Data analysis will follow intent-to-treat principles using linear mixed-effects models., Discussion: This Stage-I trial adopts an innovative approach for exercise training via telerehabilitation and is convenient and accessible for older adults with MS. If successful, the study will provide foundations for future research using remotely-delivered exercise intervention for managing the consequences of aging with MS., Trial Registration Number: NCT05930821., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Impulsivity can be a risk factor for serious complications for those with mood disorders. To understand intra-individual impulsivity variability, we analyzed longitudinal data of a novel gamified digital Go/No-Go (GNG) task in a clinical sample (n=43 mood disorder participants, n=17 healthy controls) and an open-science sample (n=121, self-reported diagnoses). With repeated measurements within-subject, we disentangled two aspects of GNG: reaction time and accuracy in response inhibition (i.e., incorrect No-Go trials) with respect to diurnal and potential learning effects. Mixed-effects models showed diurnal effects in reaction time but not accuracy, with a significant effect of hour on reaction time in the clinical sample and the open-science sample. Moreover, subjects improved on their response inhibition but not reaction time. Additionally, significant interactions emerged between depression symptom severity and time-of-day in both samples, supporting that repeated administration of our GNG task can yield mood-dependent circadian rhythm-aware biomarkers of neurocognitive function.

Most early maternal deaths are preventable, with many occurring within the first year postpartum (we use the terms "maternal" and "mother" broadly to include all individuals who experience pregnancy or postpartum and frame our recognition of need and policy recommendations in gender-neutral terms. To acknowledge limitations inherent in existing policy and the composition of samples in prior research, we use the term "women" when applicable). Black, Hispanic, and Native American individuals are at the most significant risk of pregnancy-related death. They are more commonly covered by Medicaid, highlighting likely contributions of structural racism and consequent social inequities. State-level length and eligibility requirements for postpartum Medicaid vary considerably. Federal policy requires 60 days of Medicaid continuation postpartum, risking healthcare coverage loss during a critical period of heightened morbidity and mortality risk. This policy position paper aims to outline urgent risks to maternal health, detail existing federal and state-level efforts, summarize proposed legislation addressing the issue, and offer policy recommendations for legislative consideration and future study. A team of maternal health researchers and clinicians reviewed and summarized recent research and current policy pertaining to postpartum Medicaid continuation coverage, proposing policy solutions to address this critical issue. Multiple legislative avenues currently exist to support and advance relevant policy to improve and sustain maternal health for those receiving Medicaid during pregnancy, including legislation aligned with the Biden-Harris Maternal Health Blueprint, state-focused options via the American Rescue Plan of 2021 (Public Law 117-2), and recently proposed acts (HR3407, S1542) which were last reintroduced in 2021. Recommendations include (i) reintroducing previously considered legislation requiring states to provide 12 months of continuous postpartum coverage, regardless of pregnancy outcome, and (ii) enacting a revised, permanent federal mandate equalizing Medicaid eligibility across states to ensure consistent access to postpartum healthcare offerings nationwide., (© Society of Behavioral Medicine 2024. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Major depressive disorder (MDD) is prevalent, yet sub-optimally treated among persons with multiple sclerosis (MS). We propose that exercise training may be a promising approach for treating depression in persons with MS who have MDD. Our primary hypothesis predicts a reduction in depression severity immediately after an exercise training intervention compared with minimal change in an attention control condition, and the reduction will be maintained during a follow-up period., Methods: This study involves a parallel-group, assessor-blinded RCT that examines the effect of a 4-month home-based exercise training intervention on depression severity in a sample of persons with MS who have MDD based on the MINI International Neuropsychiatric Interview. The primary outcomes of depression severity are the Patient Health Questionnaire-9 and Hamilton Depression Rating Scale. Participants (N = 146) will be recruited from within 200 miles of the University of Illinois at Chicago and randomized (1:1) into either a home-based exercise training condition or control condition with concealed allocation. The exercise training and social-contact, attention control (i.e., stretching) conditions will be delivered remotely over a 4-month period and supported through eight, 1:1 Zoom-based behavioral coaching sessions guided by social-cognitive theory and conducted by persons who are uninvolved in screening, recruitment, random assignment, and outcome assessment. We will collect outcome data at 0, 4 and 8 months using treatment-blinded assessors, and data analyses will involve intent-to-treat principles., Discussion: If successful, the proposed study will provide the first Class I evidence supporting a home-based exercise training program for treating MDD in persons with MS. This is critical as exercise training would likely have positive secondary effects on symptoms, cognition, and quality of life, and provide a powerful, behavioral approach for managing the many negative outcomes of MDD in MS. The program in the proposed research is accessible and scalable for broad treatment of depression in MS, and provides the potential for integration in the clinical management of MS., Trial Registration: The trial was registered on September 10, 2021 at clinicaltrials.gov with the identifier NCT05051618. The registration occurred before we initiated recruitment on June 2, 2023., (© 2024. The Author(s).)

Background: People with communication disabilities (CDs), which includes disabilities in speech, language, voice and/or hearing, experience health and healthcare disparities. A barrier to accessing high-quality, equitable care is the lack of effective communication between patients and their providers., Objective: In designing a patient-prompted tool to facilitate communication, we analyzed qualitative feedback on communication strategies and the experience of people with CDs, caregivers, and providers in healthcare encounters. We aimed to describe communication strategies that patients with CDs find most useful and optimize a tool for patients to share their communication strategy preferences during clinical encounters. While patient-provider communication is paramount in every interaction, we aimed to highlight the intricacies of optimizing communication for this population., Design: We performed a qualitative study utilizing focus groups and interviews with patients with CDs, their caregivers, and healthcare providers., Participants: A total of 46 individuals participated in focus groups or interviews; 26 participants self-reported a CD, nine were caregivers, and 11 were providers. Participants represented diverse types of CDs, including stuttering, aphasia, hearing loss, and people with autism or cerebral palsy who use assistive technology to communicate., Approach: Analysis of qualitative interview and focus group data was guided by a qualitative content analysis approach., Key Results: We identified three themes: (1) While communication strategies should be individualized, participants agreed upon a consolidated list of best strategies and accommodations. We used this consolidated list to finalize tool development. (2) Patients and providers preferred disclosure of the CD and desired communication strategies before the appointment. (3) Providers often do not use communication strategies and accommodations during clinical encounters., Conclusions: For patients with CDs, it is critical to acknowledge and document the CD and individualize communication strategies during healthcare visits to facilitate communication. Studies are needed to evaluate whether improved communication strategy usage leads to improved health outcomes for this population., (© 2023. The Author(s), under exclusive licence to Society of General Internal Medicine.)

Objective: Sleep and circadian disturbances emerge as novel factors influencing glycemic control in type 1 diabetes (T1D). We aimed to explore the associations among sleep, behavioral circadian parameters, self-care, and glycemic parameters in T1D., Methods: Seventy-six non-shift-working adult T1D patients participated. Blinded 7-day continuous glucose monitoring (CGM) and hemoglobin A1C (A1C) were collected. Percentages of time-in-range (glucose levels 70-180 mg/dL) and glycemic variability (measured by the coefficient of variation [%CV]) were calculated from CGM. Sleep (duration and efficiency) was recorded using 7-day actigraphy. Variability (standard deviation) of midsleep time was used to represent sleep variability. Nonparametric behavioral circadian variables were derived from actigraphy activity recordings. Self-care was measured by diabetes self-management questionnaire-revised. Multiple regression analyses were performed to identify independent predictors of glycemic parameters., Results: Median (interquartile range) age was 34.0 (27.2, 43.1) years, 48 (63.2%) were female, and median (interquartile range) A1C was 6.8% (6.2, 7.4). Sleep duration, efficiency, and nonparametric behavioral circadian variables were not associated with glycemic parameters. After adjusting for age, sex, insulin delivery mode/CGM use, and ethnicity, each hour increase in sleep variability was associated with 9.64% less time-in-range (B = -9.64, 95% confidence interval [-16.29, -2.99], p ≤ .001). A higher diabetes self-management questionnaire score was an independent predictor of lower A1C (B = -0.18, 95% confidence interval [-0.32, -0.04])., Conclusion: Greater sleep timing variability is independently associated with less time spent in the desirable glucose range in this T1D cohort. Reducing sleep timing variability could potentially lead to improved metabolic control and should be explored in future research., Data Availability Statement: Data are available upon a reasonable request to the corresponding author., Competing Interests: Declaration of conflicts of interest Sirimon Reutrakul: Speaker fee from Eli Lilly. Kelly Baron: Unrestricted research gift, not applicable to this project, from Google and the National Sleep Foundation. Other authors declare no conflict of interest., (Copyright © 2023 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.)

Background: Short sleep duration, defined as < 7 h sleep on weeknights, affects 40% of the US adult population, contributing to the increased risk for cardiometabolic diseases, decreased safety, and poorer mental health. Despite the prevalence of short sleep duration, few studies have tested interventions to extend sleep duration. The objective of this study is to test the effects of a behavioral sleep extension intervention on sleep duration, blood pressure, and other measures of cardiometabolic health among adults with elevated blood pressure or hypertension., Methods: This is a single-blind, randomized controlled trial to determine the impact of a behavioral sleep extension intervention on sleep duration and cardiometabolic health among individuals with short sleep duration (< 7 h per night) and elevated blood pressure or hypertension (SBP 120-150 mmHg or DBP 80-90 mmHg). After completing the screening, participants will be randomly assigned to either a sleep coaching (intervention) or health education (control) group. The participants will have weekly contact for either coaching or education for 8 weeks (intervention period) followed by monthly coaching or education for the next 2 months (maintenance period). Participants will complete assessment visits, actigraphy, and 24-h ambulatory blood pressure recording at baseline/screening, 8 weeks, and 6 and 12 months. The primary outcome is sleep duration at 8 weeks, and the secondary outcome is blood pressure at 8 weeks., Discussion: The results of this study will determine the effects of behavioral sleep extension on sleep and cardiometabolic health among adults with short sleep duration and elevated BP/hypertension. The results will inform the feasibility and efficacy of behavioral sleep extension and provide information needed for future multi-site effectiveness studies., Trial Registration: ClinicalTrials.gov NCT04766424. Registered on 21 February 2021., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Objective: To assess the rates and feasibility of assessing comorbid mental health disorders and referral rates in low-income urban and rural perinatal patients., Methods: In two urban and one rural clinic serving primarily low-income perinatal patients of color, a computerized adaptive diagnostic tool CAT-MH® was implemented to assess major depressive disorder (MDD), general anxiety disorder (GAD), suicidality (SS), substance use disorder (SUD), and post-traumatic stress disorder (PTSD) at the first obstetric visit and/or 8 weeks postpartum., Results: Of a total of 717 screens, 10.7% (n = 77 unique patients) were positive for one or more disorders (6.1% one, 2.5% two, 2.1% three or more). MDD was the most common disorder (9.6%) and was most commonly comorbid with GAD (33% of MDD cases), SUD (23%), or PTSD (23%). For patients with a positive screen, referral to treatment was 35.1% overall, with higher rates in urban (51.6%) versus rural (23.9%) clinics (p = 0.03)., Conclusion: Mental health comorbidities are common in low-income urban and rural populations, but referral rates are low. Promoting mental health in these populations requires comprehensive screening and treatment approaches for psychiatric comorbidities and dedication to increase the availability of mental health prevention and treatment options., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: Anxiety symptoms and anxiety disorders are prevalent and burdensome, yet poorly managed in multiple sclerosis (MS). Indeed, anxiety disorders occur in 22% of people with MS, and anxiety can negatively impact physical function, cognition, and quality of life. Currently, there are no treatment guidelines available for anxiety in MS, based on limited information regarding the efficacy of pharmacotherapy and psychotherapy. Exercise training may be a promising avenue for treatment of anxiety in MS, and this is based, in part, on a wealth of evidence in the general population of adults. This review provides an overview of anxiety and evidence from meta-analyses and systematic reviews for current treatments options in the general population and MS. We further make a case for exercise as a novel treatment approach that requires focal examination in persons with MS., Methods: We conducted a scoping review of available research, including systematic reviews and meta-analyses, on anxiety and its prevalence, predictors, consequences, and treatments in MS. We then noted limitations with existing evidence regarding treatment options, and then provided a backdrop based on evidence from the general population for the novel proposition of exercise as treatment of anxiety in MS., Results: Pharmacotherapy and psychotherapy treatments of anxiety may be efficacious, but come with significant limitations, especially for persons with MS. Exercise is a promising novel avenue for treatment of anxiety in MS, and has a positive side-effect profile., Conclusion: Anxiety is under-investigated and poorly treated in MS. There is a paucity of evidence for the relationship between exercise training and anxiety in MS, but the evidence in the general population supports the urgent need for systematic examination of the efficacy of exercise in treating anxiety symptoms and disorders in persons with MS., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier B.V.)

We examine the feasibility of using accelerometer data exclusively collected during typing on a custom smartphone keyboard to study whether typing dynamics are associated with daily variations in mood and cognition. As part of an ongoing digital mental health study involving mood disorders, we collected data from a well-characterized clinical sample (N = 85) and classified accelerometer data per typing session into orientation (upright vs. not) and motion (active vs. not). The mood disorder group showed lower cognitive performance despite mild symptoms (depression/mania). There were also diurnal pattern differences with respect to cognitive performance: individuals with higher cognitive performance typed faster and were less sensitive to time of day. They also exhibited more well-defined diurnal patterns in smartphone keyboard usage: they engaged with the keyboard more during the day and tapered their usage more at night compared to those with lower cognitive performance, suggesting a healthier usage of their phone.

Background: Rates of clinically elevated depressive symptoms among ambulatory oncology patients are higher than in the general population and are associated with poorer health-related quality of life. Furthermore, a reduction in depressive symptoms may be associated with improved cancer survival. Several interventions have demonstrated efficacy in reducing oncologic depressive symptoms, including cognitive-behavioral stress management (CBSM). However, more work is needed to understand how to best implement CBSM into practice, such as through stepped-care approaches and digital health interventions linked to electronic health records (EHR). This manuscript presents the protocol of the My Well-Being Guide study, a pragmatic type 1 effectiveness-implementation hybrid study. This trial will test the effectiveness of My Well-Being Guide, a seven-week structured, CBSM-based digital health intervention designed to reduce depressive symptoms. This trial will also evaluate My Well-Being Guide's implementation across two health systems., Methods: The final sample (N = 4561) will be oncology patients at Northwestern Medicine or University of Miami Health System who are ≥18 years of age; have a cancer diagnosis; elevated depressive symptoms on the Patient-Reported Outcomes Measurement Information System Depression; and primary language is English or Spanish. Data collection will occur at baseline, and 2-, 6-, and 12-months post baseline. Outcome domains include depressive symptoms and implementation evaluation., Discussion: This study may provide valuable data on the effectiveness of our depressive symptom management digital health intervention linked to the EHR and the scalability of digital health interventions in general., (Copyright © 2023. Published by Elsevier Inc.)

Suicidality is prevalent in Social Anxiety Disorder (SAD) and Major Depressive Disorder (MDD). Limited data indicate the reward positivity (RewP), a neurophysiological index of reward responsivity, and subjective capacity for pleasure may serve as brain and behavioral assays for suicide risk though this has yet to be examined in SAD or MDD in the context of psychotherapy. Therefore, the current study tested whether suicidal ideation (SI) relates to RewP and subjective capacity for anticipatory and consummatory pleasure at baseline and whether Cognitive Behavioral Therapy (CBT) impacts these measures. Participants with SAD (n = 55) or MDD (n = 54) completed a monetary reward task (gains vs. losses) during electroencephalogram (EEG) before being randomized to CBT or supportive therapy (ST), a comparator common factors arm. EEG and SI data were collected at baseline, mid-treatment, and post-treatment; capacity for pleasure was collected at baseline and post-treatment. Baseline results showed participants with SAD or MDD were comparable in SI, RewP, and capacity for pleasure. When controlling for symptom severity, SI negatively corresponded with RewP following gains and SI positively corresponded with RewP following losses at baseline. Yet, SI did not relate to subjective capacity for pleasure. Evidence of a distinct SI-RewP association suggests RewP may serve as a transdiagnositic brain-based marker of SI. Treatment outcome revealed that among participants with SI at baseline, SI significantly decreased regardless of treatment arm; also, consummatory, but not anticipatory, pleasure increased across participants regardless of treatment arm. RewP was stable following treatment, which has been reported in other clinical trial studies., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Purpose: The purpose of this study was to evaluate the feasibility and acceptability of a technology-assisted behavioral sleep intervention (Sleep-Opt-In) and to examine the effects of Sleep-Opt-In on sleep duration and regularity, glucose indices, and patient-reported outcomes. Short sleep duration and irregular sleep schedules are associated with reduced glycemic control and greater glycemic variability., Methods: A randomized controlled parallel-arm pilot study was employed. Adults with type 1 diabetes (n = 14) were recruited from the Midwest and randomized 3:2 to the sleep-optimization (Sleep-Opt-In) or Healthy Living attention control group. Sleep-Opt-In was an 8-week, remotely delivered intervention consisting of digital lessons, sleep tracker, and weekly coaching phone calls by a trained sleep coach. Assessments of sleep (actigraphy), glucose (A1C, continuous glucose monitoring), and patient-reported outcomes (questionnaires for daytime sleepiness, fatigue, diabetes distress, and depressive mood) were completed at baseline and at completion of the intervention., Results: Sleep-Opt-In was feasible and acceptable. Those in Sleep-Opt-In with objectively confirmed short or irregular sleep demonstrated an improvement in sleep regularity (25 minutes), reduced glycemic variability (3.2%), and improved time in range (6.9%) compared to the Healthy Living attention control group. Patient-reported outcomes improved only for the Sleep-Opt-In group. Fatigue and depressive mood improved compared to the control., Conclusions: Sleep-Opt-In is feasible, acceptable, and promising for further evaluation as a means to improve sleep duration or regularity in the population of people with type 1 diabetes.

Objectives: The goal of this study was to examine the contribution of sleep extension intervention components (wearable sleep tracker and coaching) on sleep extension outcomes., Patient Involvement: This study collected open ended qualitative responses of treatment preference, acceptability, and feasibility as a key outcome., Methods: Adults aged 25 to 65 years with sleep duration <7 h and BMI ≥ 25 were randomized into one of four groups: Self-Management (control), Fitbit, Telephone Coaching, or Fitbit + Coaching. Self-report questionnaires and actigraphy were completed at baseline, post-intervention (6 weeks), and 12-weeks. Analyses used mixed models., Results: Among the 38 adults randomized, the Fitbit + Coaching group had larger but non-significant improvements in sleep duration compared with the self-management group. The coaching group demonstrated significant improvements in sleep-related impairment. All groups demonstrated feasibility and acceptability but the Fitbit + Coaching group reported themes of accountability., Conclusions: Results suggest that sleep extension interventions are feasible and acceptable but components affect the pattern of sleep and other outcomes., Practical Implications: Sleep extension is feasible and acceptable; the combination of coaching and the wearable device may lead to larger changes in sleep due to enhanced accountability., Competing Interests: The authors have no conflicts of interest to declare., (© 2022 The Authors.)

Background: Fear of recurrence (FoR) is prevalent among breast cancer survivors (BCS) and may be exacerbated by avoidance coping. This study examined BCS with avoidance coping and their engagement in a FoR eHealth intervention (FoRtitude)., Methods: BCS (N = 196) with elevated FoR participated in FoRtitude. Patient-reported measures assessed avoidance coping with FoR and baseline emotional and behavioral health. Intervention engagement was measured quantitatively (e.g., website logins, telecoaching attendance) and qualitatively (i.e., telecoaching notes)., Results: 38 BCS (19%) endorsed avoidance coping, which was associated with more severe post-traumatic anxiety-related symptoms and worse global mental health (ps < .05), but not anxiety (p = .19), depression (p = .11), physical health (p = .12), alcohol consumption (p = .85), or physical activity (p = .39). Avoidance coping was not associated with engagement levels (ps > .05) but did characterize engagement-related motivators and barriers., Conclusions: Avoidance coping was not a barrier to FoRtitude engagement. eHealth delivery is a promising modality for engaging survivors with avoidance coping in FoR interventions., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Despite extensive benefits and high intentions, few mothers breastfeed exclusively for the recommended duration. Maternal mental health is an important underlying factor associated with barriers and reduced rates of breastfeeding intent, initiation, and continuation. Given evidence of a bidirectional association between maternal mental health and breastfeeding, it is important to consider both factors when examining the efficacy of interventions to improve these outcomes. The purpose of this manuscript is to review the literature on the efficacy of behavioral interventions focused on both maternal mental health and breastfeeding outcomes, examining the intersection of the two., Methods: This systematic review was completed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guidelines. Studies were selected if they were available in English, used primary experimental design, and used a behavioral intervention type to examine maternal mental health and breastfeeding outcomes. Articles were identified from PubMed, CINAHL, Embase, and PsycINFO from database inception to 3 March 2022. Study quality was assessed using the Cochrane Risk of Bias tool. Results were synthesized by intervention success for 1. Mental health and breastfeeding, 2. Breastfeeding only, 3. Mental health only, and 4. No intervention effect. PROSPERO CRD42021224228., Results: Thirty interventions reported in 33 articles were identified, representing 15 countries. Twelve studies reported statistically significant positive effect of the intervention on both maternal mental health and breastfeeding; most showing a decrease in self-report depressive and/or anxiety symptoms in parallel to an increase in breastfeeding duration and/or exclusivity. Common characteristics of successful interventions were a) occurring across pregnancy and postpartum, b) delivered by hospital staff or multidisciplinary teams, c) offered individually, and d) designed to focus on breastfeeding and maternal mental health or on breastfeeding only. Our results are not representative of all countries, persons, experiences, circumstances, or physiological characteristics., Conclusions: Interventions that extend the perinatal period and offer individualized support from both professionals and peers who collaborate through a continuum of settings (e.g., health system, home, and community) are most successful in improving both mental health and breastfeeding outcomes. The benefits of improving these outcomes warrant continued development and implementation of such interventions., Systematic Review Registration: PROSPERO CRD42021224228., (© 2022. The Author(s).)

Background: Despite improvements in treatment regimens and technology, less than 20% of adults with type 1 diabetes (T1D) achieve glycemic targets. Sleep is increasingly recognized as a potentially modifiable target for improving glycemic control. Diabetes distress, poor self-management behaviors, and reduced quality of life have also been linked to sleep variability and insufficient sleep duration. A significant gap of knowledge exists regarding interventions to improve sleep and the effects of sleep optimization on glycemic control in T1D. The purpose of this study is to determine the efficacy of a T1D-specific sleep optimization intervention (Sleep-Opt) on the primary outcomes of sleep variability, sleep duration, and glycemic control (A1C); other glycemic parameters (glycemic variability, time-in-range [TIR]); diabetes distress; self-management behaviors; quality of life; and other patient-reported outcomes in adults with T1D and habitual increased sleep variability or short sleep duration., Methods: A randomized controlled parallel-arm study will be employed in 120 adults (aged 18 to 65 years) with T1D. Participants will be screened for habitual sleep variability (> 1 h/week) or insufficient sleep duration (< 6.5 h per night). Eligible subjects will be randomized to the Sleep-Opt intervention group or healthy living attention control group for 12 weeks. A 1-week run-in period is planned, with baseline measures of sleep by actigraphy (sleep variability and duration), glycemia (A1C and related glycemic measures: glycemic variability and TIR using continuous glucose monitoring), and other secondary outcomes: diabetes distress, self-management behaviors, quality of life, and additional patient-reported outcomes. Sleep-Opt is a technology-assisted behavioral sleep intervention that we recently developed that leverages the rapidly increasing public interest in sleep tracking. Our behavioral intervention employs four elements: a wearable sleep tracker, didactic content, an interactive smartphone application, and brief telephone counseling. The attention control group will participate in a healthy living information program. Baseline measures will be repeated at midpoint, program completion, and post-program (weeks 6, 12, and 24, respectively) to determine differences between the two groups and sustainability of the intervention., Discussion: A better understanding of strategies to improve sleep in persons with T1D has the potential to be an important component of diabetes., Trial Registration: Clinical Trial Registration: NCT04506151 ., (© 2022. The Author(s).)

Background: Postpartum depression (PPD) is a serious mental health problem that has a prevalence rate of nearly 20% in the first three months after delivery. The purpose of this study was to evaluate the benefit of Sunnyside, an internet-based cognitive-behavioral intervention, delivered in a group format compared to the same intervention delivered individually for the prevention of PPD., Method: 210 people between 20- and 28-weeks gestation and who scored between 5 and 14 on the PHQ-8 and who did not meet criteria for major depression were recruited online. The Inventory of Depression and Anxiety Symptoms (IDAS), the Hamilton Rating Scale for Depression (HAMD), and the depression and anxiety modules of the MINI were obtained at baseline, post-treatment, and 12-weeks postpartum. Intervention adherence was measured by site usage., Results: Across self-report and interview measures of depression there were no significant differences in outcome between the group and the individual versions of the program. Rates of major depression and generalized anxiety disorder in the postpartum period were low and adherence to the conditions was similarly high. Participants in the individual condition were significantly more satisfied than participants in the group condition (p < 0.05)., Limitations: The sample was predominantly white (85%) and recruited online, which may limit generalizability., Conclusions: The group intervention was not more effective than the individual intervention. However, ignoring groups, many measures improved over time. The results of this study provide evidence that mood symptoms improve when participating in an online preventive intervention for postpartum depression., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Objectives: Women with a history of gestational diabetes (GDM) are at 7-fold increase in the risk of developing diabetes. Insufficient sleep has also been shown to increase diabetes risk. This study aimed to explore the feasibility of a sleep extension in women with a history of GDM and short sleep, and effects on glucose metabolism., Methods: Women age 18-45 years with a history of GDM and actigraphy confirmed short sleep duration (<7 h/night) on weekdays were randomized at a ratio of 1 control (heathy living information) to 2 cases (6 weeks of "Sleep-Extend" intervention: use of a Fitbit, weekly digital content, and weekly coaching to increase sleep duration). An oral glucose tolerance test (OGTT), 7-day actigraphy recording, and questionnaires were obtained at baseline and 6 weeks. Mean differences between baseline and end-of-intervention parameters were compared using independent samples t-tests., Results: Mean (SD) sleep duration increased within the Sleep-Extend group (n=9, +26.9 (42.5) min) but decreased within the controls (n=5, - 9.1 (20.4) min), a mean difference (MD) of 35.9 min (95% confidence interval (CI) - 8.6, 80.5). Fasting glucose increased, but less in Sleep-Extend vs. control groups (1.6 (9.4) vs 10.4 (8.2) mg/dL, MD - 8.8 mg/dL (95% CI - 19.8, 2.1), while 2-h glucose levels after an OGTT did not differ. Compared to controls, Sleep-Extend had decreased fatigue score (MD - 10.6, 95%CI - 20.7, - 0.6), and increased self-report physical activity (MD 5036 MET- minutes/week, 95%CI 343, 9729. Fitbit compliance and satisfaction in Sleep-Extend group was high., Conclusion: Sleep extension is feasible in women with a history of GDM, with benefits in fatigue and physical activity, and possibly glucose metabolism. These data support a larger study exploring benefits of sleep extension on glucose metabolism in these high-risk women., Trial Registration: ClinicalTrials.gov , NCT03638102 (8/20/2018)., (© 2022. The Author(s).)

Anterior cingulate cortex (ACC) response during attentional control in the context of task-irrelevant emotional faces is a promising biomarker of cognitive behavioral therapy (CBT) outcome in patients with social anxiety disorder (SAD). However, it is unclear whether this biomarker extends to major depressive disorder (MDD) and is specific to CBT outcome. In the current study, 72 unmedicated patients with SAD (n = 39) or MDD (n = 33) completed a validated emotional interference paradigm during functional magnetic resonance imaging before treatment. Participants viewed letter strings superimposed on task-irrelevant threat and neutral faces under low perceptual load (high interference) and high perceptual load (low interference). Biomarkers comprised anatomy-based rostral ACC (rACC) and dorsal ACC (dACC) response to task-irrelevant threat (>neutral) faces under low and high perceptual load. Patients were randomly assigned to 12 weeks of CBT or supportive therapy (ST) (ClinicalTrials.gov identifier: NCT03175068). Clinician-administered measures of social anxiety and depression severity were obtained at baseline and every 2 weeks throughout treatment (7 assessments total) by an assessor blinded to the treatment arm. A composite symptom severity score was submitted to latent growth curve models. Results showed more baseline rACC activity to task-irrelevant threat>neutral faces under low, but not high, perceptual load predicted steeper trajectories of symptom improvement throughout CBT or ST. Post-hoc analyses indicated this effect was driven by subgenual ACC (sgACC) activation. Findings indicate ACC activity during attentional control may be a transdiagnostic neural predictor of general psychotherapy outcome., (© 2021. The Author(s), under exclusive licence to American College of Neuropsychopharmacology.)

Background: Mothers who identify as Black or African American are more likely to report depressed moods in late pregnancy and early postpartum and have the lowest rates of human milk feeding compared with all other racial groups in the United States. Internet interventions offer the potential to extend preventative and supportive services as they address key barriers, particularly for those navigating the complex and vulnerable early postpartum period. However, there is limited evidence on the feasibility of such interventions for preventing perinatal mental health disorders and improving human milk feeding outcomes in Black mothers., Objective: This pilot study aimed to assess the feasibility and preliminary findings of a web-based cognitive behavioral therapy-based internet intervention, with and without human milk feeding education and support, to prevent perinatal depression and promote human milk feeding in Black mothers., Methods: Participants were Black-identifying individuals between 20 and 28 weeks of pregnancy with human milk feeding intention and mild to moderate depressive symptoms (Patient Health Questionnaire scores 5-14). Participants were randomized to either Sunnyside, a 6-week cognitive behavioral therapy-based web-based intervention, or Sunnyside Plus, which included additional education and support to promote human milk feeding. Assessments occurred at baseline, third trimester (end of antenatal treatment), 6 weeks postpartum (end of postpartum treatment), and 12 weeks postpartum. The primary focus of this randomized pilot trial was the feasibility and preliminary outcomes of mental health and human milk feeding., Results: A total of 22 tertiary-educated participants were randomized. The mean number of log-ins was 7.3 (SD 5.3) for Sunnyside and 13.8 (SD 10.5) for Sunnyside Plus. Scores of depression and anxiety measures remained below the clinical threshold for referral to treatment in both groups. All the participants initiated human milk feeding (18/18, 100%). Most participants reported at least some human milk feeding at both 6 and 12 weeks postpartum (6/7, 86%; 11/11, 100%, or 10/10, 100%, for Sunnyside and Sunnyside Plus, respectively)., Conclusions: The results suggest that tertiary-educated Black mothers at risk for perinatal depression and who intended to human milk feed were receptive to and satisfied with a web-based cognitive behavioral therapy-based internet intervention, with and without human milk feeding education and support. Preliminary findings indicate that both Sunnyside and Sunnyside Plus interventions have the potential to affect symptoms of depression, anxiety, and human milk feeding outcomes., Trial Registration: ClinicalTrials.gov NCT04128202; https://www.clinicaltrials.gov/ct2/show/NCT04128202., (©Lacey Pezley, Lisa Tussing-Humphreys, Mary Dawn Koenig, Pauline Maki, Angela Odoms-Young, Sally Freels, Brittany DiPiazza, Felicity Cann, Kate Cares, Courtney Depa, Gintare Klejka, Manoela Lima Oliveira, Jilian Prough, Taylor Roe, Joanna Buscemi, Jennifer Duffecy. Originally published in JMIR Formative Research (https://formative.jmir.org), 03.05.2022.)

In an increasingly connected world and in the midst of a global pandemic, digital trials offer numerous advantages over traditional trials that rely on physical study sites. Digital trials have the potential to improve access to research and clinical treatments for the most vulnerable and minoritized, including pregnant and postpartum individuals. However, digital trials are underutilized in maternal and child health research, and there is limited evidence to inform the design and conduct of digital trials. Our research collaborative, consisting of 5 research teams in the U.S. and Australia, aimed to address this gap. We collaborated to share lessons learned from our experiences recruiting and retaining pregnant and postpartum individuals in digital trials of social and behavioral interventions. We first discuss the promise of digital trials in improving participation in research during the perinatal period, as well as the unique challenges they pose. Second, we present lessons learned from 12 completed and ongoing digital trials that have used platforms such as Ovia, Facebook, and Instagram for recruitment. Our trials evaluated interventions for breastfeeding, prenatal and postpartum depression, insomnia, decision making, and chronic pain. We focus on challenges and lessons learned in 3 key areas: (1) rapid recruitment of large samples with a diversity of minoritized identities, (2) retention of study participants in longitudinal studies, and (3) prevention of fraudulent enrollment. We offer concrete strategies that we pilot-tested to address these challenges. Strategies presented in this commentary can be incorporated, as well as formally evaluated, in future studies., (©Amanda M Parks, Jennifer Duffecy, Jennifer E McCabe, Rachel Blankstein Breman, Jeannette Milgrom, Yafit Hirshler, Alan W Gemmill, Lisa S Segre, Jennifer N Felder, Lori Uscher-Pines. Originally published in JMIR Pediatrics and Parenting (https://pediatrics.jmir.org), 20.04.2022.)

Underserved women of color experience high rates of perinatal affective disorders, but most research to date on the natural history of these disorders has been conducted on White women. The present study investigated longitudinal changes in anxiety and depression in a sample of perinatal non-Hispanic Black and Latina women. Categorical (yes/no) measures of positive anxiety and depression screens, as well as total symptom scores, were measured longitudinally across the perinatal period in 178 women (115 non-Hispanic Black, 63 Latina) using the CAT-MH™, a computerized adaptive test. Time (up to 4 visits) and race/ethnicity effects were assessed in linear mixed effects models. Rates of positive anxiety screenings were 13.6%, 3.2%, 8.5%, and 0% in Latina women and 2.6%, 4.2%, 6.1%, and 5.8% in non-Hispanic Black women in the 1 st , 2 nd , and 3 rd trimesters, and postpartum, respectively. Rates of positive anxiety screenings overall were highest in the first trimester (OR = 0.20; 95% CI 0.04-0.98), and there was a significant time-by-race/ethnicity interaction for positive anxiety screens (OR = 8.88; 95% CI 1.42-55.51), as positive screens were most frequent in the first trimester and sharply declined for Latina women, while rates were relatively consistent across the perinatal period in non-Hispanic Black women. Rates of positive depression screens did not change over time, but there was a trend (OR = 1.93; 95% CI 0.93-4.03) for a time-by-race/ethnicity interaction in a direction similar to that seen for anxiety. The odds of positive anxiety screens vary by race/ethnicity and trimester, suggesting that anxiety screening and anxiety interventions may be most resourcefully used in the first trimester for Latina women in particular., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.)

The goal of this study was to examine the effects of behavioral sleep extension interventions on sleep duration outcomes in children and adults ≥ age 12. We conducted a systematic literature review, article extraction and meta-analysis. Our search yielded 42 studies from 14 countries. The majority of studies (n = 19) enrolled adults, 10 studies enrolled college students, 13 enrolled children (high school or middle school aged). Results from the meta-analysis demonstrated behavioral sleep extension resulted in a significantly higher sleep duration as compared to control group or baseline, with pooled standardized mean difference (SMD) that was similar for both two-arm 0.80 (95 % CI 0.28 to 1.31; p < 0.01; I 2  = 99.2%) and one-arm studies 0.75 (95% CI 0.39 to 1.11; p < 0.01; I 2  = 86%), and there was significant heterogeneity among both study types. Subgroup analyses revealed that studies with direct interventions on sleep duration (i.e., specified the sleep schedule) had larger effects compared to indirect methods (coaching, educational approaches) and a greater number of curriculum components was associated with smaller effects. Results of this review demonstrate that sleep extension studies are effective at extending sleep in a variety of populations but improving the description of intervention methods and use of more rigorous study designs will improve the quality and reproducibility of this area of research., Competing Interests: Conflict of interest The authors do not have any conflicts of interest to disclose.., (Copyright © 2021. Published by Elsevier Ltd.)

Background: Fear of recurrence (FoR) is a prevalent concern among breast cancer survivors (BCS), yet few accessible interventions exist. This study evaluated a targeted eHealth intervention, "FoRtitude," to reduce FoR using cognitive behavioral skills training and telecoaching., Methods: BCS (N  = 196) were recruited from an academic medical center and 3 National Cancer Institute Community Oncology Research Program community sites, had stage 0-III breast cancer, were 1-10 years postprimary treatment, with moderate to high FoR and familiarity with the internet. Using the Multiphase Optimization Strategy, participants were independently randomly assigned to 3 cognitive behavioral skills (relaxation, cognitive restructuring, worry practice) vs an attention control condition (health management content [HMC]) and to telecoaching (motivational interviewing) vs no telecoaching. Website content was released across 4 weeks and included didactic lessons, interactive tools, and a text-messaging feature. BCS completed the Fear of Cancer Recurrence Inventory at baseline and at 4 and 8 weeks. Fear of Cancer Recurrence Inventory scores over time were compared using mixed-effects models. All statistical tests were 2-sided., Results: FCRI scores [SD] decreased statistically significantly from baseline to postintervention (T0 = 53.1 [17.4], T2 = 41.9 [16.2], P < .001). The magnitude of reduction in FCRI scores was comparable across cognitive behavior therapy (CBT) and attention control HMC conditions and was predicted by increased self-efficacy. Telecoaching was associated with lower attrition and greater website use (mean adherence score [SD] = 26.6 [7.2] vs 21.0 [10.5], P < .001)., Conclusions: BCS experienced statistically significant reductions in FoR postintervention, but improvements were comparable between CBT and attention controls. Telecoaching improved adherence and retention. Future research is needed on optimal integration of CBT and HMC, dose, and features of eHealth delivery that contributed to reducing FoR. In the COVID-19 era, remote delivery has become even more essential for reaching survivors struggling with FoR., (© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Despite effective pharmacological treatment, bipolar disorder is a leading cause of disability due to recurrence of episodes, long episode durations, and persistence of interepisode symptoms. While adding psychotherapy to pharmacotherapy improves outcomes, the availability of adjunctive psychotherapy is limited. To extend the accessibility and functionality of psychotherapy for bipolar disorder, we developed LiveWell, a smartphone-based self-management intervention. Unfortunately, many mental health technology interventions suffer from high attrition rates, with users rapidly failing to maintain engagement with the intervention technology. Human support reduces this commonly observed engagement problem but does not consistently improve clinical and recovery outcomes. To facilitate ongoing efforts to develop human support for digital mental health technologies, this paper describes the design decisions, theoretical framework, content, mode, timing of delivery, and the training and supervision for coaching support of the LiveWell technology. This support includes clearly defined and structured roles that aim to encourage the use of the technology, self-management strategies, and communication with care providers. A clear division of labor is established between the coaching support roles and the intervention technology to allow lay personnel to serve as coaches and thereby maximize accessibility to the LiveWell intervention., (©Cynthia A Dopke, Alyssa McBride, Pamela Babington, Geneva K Jonathan, Tania Michaels, Chloe Ryan, Jennifer Duffecy, David C Mohr, Evan H Goulding. Originally published in JMIR Formative Research (http://formative.jmir.org), 24.03.2021.)

Objective: Ubiquitous technologies can be leveraged to construct ecologically relevant metrics that complement traditional psychological assessments. This study aims to determine the feasibility of smartphone-derived real-world keyboard metadata to serve as digital biomarkers of mood., Materials and Methods: BiAffect, a real-world observation study based on a freely available iPhone app, allowed the unobtrusive collection of typing metadata through a custom virtual keyboard that replaces the default keyboard. User demographics and self-reports for depression severity (Patient Health Questionnaire-8) were also collected. Using >14 million keypresses from 250 users who reported demographic information and a subset of 147 users who additionally completed at least 1 Patient Health Questionnaire, we employed hierarchical growth curve mixed-effects models to capture the effects of mood, demographics, and time of day on keyboard metadata., Results: We analyzed 86 541 typing sessions associated with a total of 543 Patient Health Questionnaires. Results showed that more severe depression relates to more variable typing speed (P < .001), shorter session duration (P < .001), and lower accuracy (P < .05). Additionally, typing speed and variability exhibit a diurnal pattern, being fastest and least variable at midday. Older users exhibit slower and more variable typing, as well as more pronounced slowing in the evening. The effects of aging and time of day did not impact the relationship of mood to typing variables and were recapitulated in the 250-user group., Conclusions: Keystroke dynamics, unobtrusively collected in the real world, are significantly associated with mood despite diurnal patterns and effects of age, and thus could serve as a foundation for constructing digital biomarkers., (© The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: In persons with type 1 diabetes (T1D), hypoglycemia is the major limiting factor in achieving optimal glycemic control. All persons with T1D are at risk for hypoglycemia (blood glucose level < 70 mg/dl), which is life-threatening and accompanied by serious physical and psychological symptoms, resulting in profound fear of hypoglycemia (FOH) and reduced quality of life. Young adults with T1D are at risk for FOH and have worse glycemic control and self-management behavior than other age groups with T1D. FOH also results in increased glycemic variability (GV). A major gap exists in how to manage FOH. Our overall objective is to reduce FOH and improve diabetes self-management, glycemic control, and GV in young adults with T1D to reduce or delay diabetes complications and improve quality of life. We aim to (1) determine the feasibility and acceptability of an eight-week cognitive behavioral therapy (CBT)-based Fear Reduction Efficacy Evaluation (FREE) intervention in young adults with T1D who experience FOH; and (2) determine the impact of the FREE intervention, compared to an attention control group, on the outcomes FOH, self-management, glycemic control (A1C), and glycemic variability (continuous glucose monitoring recordings)., Methods/design: A randomized controlled trial in 50 young adults aged 18 to 35 years with T1D will be used. Eligible subjects will be randomized to the intervention program (Fear Reduction Efficacy Evaluation [FREE]) or attention control group. A one-week run-in phase is planned, with baseline measures of FOH, self-management behavior, A1C, and real-time continuous glucose monitoring recordings (RT-CGM) to calculate GV for both groups. The intervention group will participate in eight weekly individual one-hour sessions using CBT and exposure treatment for specific fears. RT-CGM and a daily FOH diary will be used as feedback cues as part of the FREE program. The attention control group will participate in eight weekly individual one-hour diabetes self-management education (DSME) sessions and wear a RT-CGM device (to measure GV only) over 8 weeks. At completion, FOH will be measured, and RT-CGM recordings will be analyzed to determine differences between the FREE and control groups., Discussion: Findings from this proposed pilot study will serve as the foundation for a larger trial to reduce FOH and improve self-management, glycemic control, and GV., Trial Registration: ClinicalTrials.gov: A cognitive behavioral therapy (CBT) intervention to reduce fear of hypoglycemia in type 1 diabetes, NCT03549104. Registered June 7, 2018.

Study Objectives: Short sleep duration contributes to hypertension, yet few behavioral sleep extension interventions have been developed. The goal of our study was to evaluate the feasibility and preliminary efficacy of a technology assisted sleep extension intervention among individuals with prehypertension/stage 1 hypertension on sleep, blood pressure and patient reported outcomes., Methods: Adults aged 30-65 with 24h ambulatory blood pressure (ABP) > 120/80 mmHg and average weekday sleep duration < 7 h/night were randomized 2:1 to a 6-week technology assisted intervention versus a self-management control group. The intervention included a wearable sleep tracker, smartphone application, weekly didactic lessons and brief telephone coaching. The control group was instructed to maintain their current sleep schedule. Data were analyzed using descriptive statistics and nonparametric statistics to evaluate differences in between groups as well as prepost changes within each group. We also conducted bivariate correlations to evaluate predictors of change in sleep and ABP., Results: A total of 16 adults were randomized into the study (11 intervention, 5 control group, 8 women, mean age 45.8 years, standard deviation 9.8 years.) Results at 6-week follow-up demonstrated greater improvement in the intervention group for total sleep time (P = .027), reductions in 24-hour systolic blood pressure (P = .013) and diastolic blood pressure (P = .026), improvements in sleep disturbance (P = .003) and sleep-related impairment (P = .008). Participants in the intervention group completed 90% of the coaching sessions and rated the enjoyment of the intervention as 4 or 5 out of 5., Conclusions: Technology assisted sleep extension intervention is feasible and well liked in this population. Results demonstrate the potential for this intervention to improve sleep duration, quality and 24-hour ABP., (© 2019 American Academy of Sleep Medicine.)

Little is known regarding how hypoglycemia and associated fears influence day-to-day life among adults with type 1 diabetes (T1DM) who use contemporary diabetes management strategies. To address this gap, we performed an exploratory qualitative study with five focus groups of 30 people aged 20 to 57 years with T1DM. Sessions were audiotaped and transcribed, and then analyzed. Eight themes emerged: (a) hypoglycemic worry, (b) unpredictability and loss of control, (c) contending with life stress, (d) exercise benefits and challenges, (e) a changed relationship with food, (f) sleep fears, (g) a love/hate relationship with technology, and (h) coping strategies to make it better. Fear of hypoglycemia, diabetes management, and work demands confer a high degree of stress. Challenges surround food, exercise, and sleep. Technology is important but does not relieve fear of hypoglycemia. Developing strong coping skills and creating a safety net of support are necessary.

Study Objectives: Over one-third of the United States population sleeps less than the recommended 7 hours a night, which increases risk for chronic diseases. The aim of this study was to evaluate the acceptability of sleep extension interventions and preferences in sleep extension interventions among adults with short sleep duration., Methods: Participants aged 18 to 65 years with self-reported sleep duration ≤ 6.5 hours completed an online survey including reported sleep behaviors, barriers to adequate sleep, interest in sleep extension interventions, and a sleep disturbance questionnaire. Data were analyzed using chi-square and binary logistic regression., Results: Participants (n = 92; 61 females; mean age = 45.6 years, standard deviation = 13.5) reported an average sleep duration of 5:49 (standard deviation = 0:49). More than half of the participants reported current health comorbidities (64%), including insomnia (n = 12, 13%) and sleep apnea (n = 9, 10%). Many participants (38%) reported sleep disturbance. The most common barrier to adequate sleep included insomnia or other sleep problems (55%). Most respondents (84%) indicated an interest in increasing sleep duration. Of the treatment options suggested, most (84% of those interested) were interested in a wrist-worn device. Participants with insomnia or other sleep disorders were more likely to be interested in extending sleep, (χ² = 12.86, P < .001) and in a wrist-worn device (χ² = 5.24, P = .022). Higher Patient-Reported Outcomes Measurement Information System sleep disturbance t scores were also associated with interest in monitoring sleep with a wrist-worn device (b = .18, P < .001)., Conclusions: Sleep extension interventions using wearable technology are attractive to individuals with short sleep duration, particularly those with greater sleep disturbance and comorbid sleep disorders., Citation: Adkins EC, DeYonker O, Duffecy J, Hooker SA, Baron KG. Predictors of intervention interest among individuals with short sleep duration. JClin SleepMed. 2019;15(8):1143-1148., (© 2019 American Academy of Sleep Medicine.)

Background: Postpartum depression (PPD) has a 20% 3-month prevalence rate. The consequences of PPD are significant for the mother, infant, and the family. There is a need for preventive interventions for PPD, which are effective and accessible; however, many barriers exist for women who attempt to access perinatal depression prevention programs. Internet interventions for the treatment and prevention of depression are widely accepted as efficacious and may overcome some of the issues pertaining to access to treatment barriers perinatal women face. However, internet interventions offered without any human support tend to have low adherence but positive outcomes for those who do complete treatment. Internet support groups often have high levels of adherence but minimal data supporting efficacy as a treatment for depression. Taken together, these findings suggest that combining the treatment components of individual interventions with the support provided by an internet support group might create an intervention with the scalability and cost-effectiveness of an individual intervention and the better outcomes typically found in supported interventions., Objectives: This study aimed to describe the development of a cognitive behavioral therapy (CBT) internet intervention with peer support to prevent PPD and examine preliminary depression and site usage outcomes., Methods: User-centered design groups were used to develop the internet intervention. Once the intervention was developed, women who were 20 to 28 weeks pregnant with symptoms of depression (Patient Health Questionnaire-8 scores of 5-14) but who had no major depression diagnosis were enrolled in a randomized controlled trial (RCT) to compare 8 weeks of a CBT-based internet intervention with peer support to an individual internet intervention designed to prevent PPD. Assessments took place at baseline, 4 weeks, 8 weeks (end of treatment), and then 4 weeks and 6 weeks postpartum., Results: A total of 25 women were randomized. Of these, 24 women completed the RCT. Patient Health Questionnaire-9 scores at 6 weeks postpartum remained below the clinical threshold for referral for treatment in both groups, with depression measures showing a decrease in symptoms from baseline to postpartum. At 6 weeks postpartum, only 4% (1/24) met the criteria for PPD. There was no difference between groups in adherence to the intervention, with an average of 14.55 log-ins over the course of treatment., Conclusions: Results suggest women were responsive to both peer support and individual internet interventions to prevent PPD and that peer support may be a useful feature to keep participants adherent., Trial Registration: ClinicalTrials.gov NCT02121015; https://clinicaltrials.gov/ct2/show/NCT02121015 (archived by WebCite at http://www.webcitation.org/765a7qBKy)., (©Jennifer Duffecy, Rebecca Grekin, Hannah Hinkel, Nicholas Gallivan, Graham Nelson, Michael W O'Hara. Originally published in JMIR Mental Health (http://mental.jmir.org), 28.05.2019.)

This article describes how two research teams recruited participants using a mobile application for pregnant women. In both studies, a study description appeared on the home screen of a pregnancy application. Interested women were directed to a secure research website to enroll. Enrollment goals were rapidly exceeded. Both studies enrolled participants from across the USA. Demographic diversity was achieved by one study. Mobile health applications are innovative venues for recruiting research participants.

The objectives of this review were to evaluate the use of consumer-targeted wearable and mobile sleep monitoring technology, identify gaps in the literature and determine the potential for use in behavioral interventions. We undertook a scoping review of studies conducted in adult populations using consumer-targeted wearable technology or mobile devices designed to measure and/or improve sleep. After screening for inclusion/exclusion criteria, data were extracted from the articles by two co-authors. Articles included in the search were using wearable or mobile technology to estimate or evaluate sleep, published in English and conducted in adult populations. Our search returned 3897 articles and 43 met our inclusion criteria. Results indicated that the majority of studies focused on validating technology to measure sleep (n = 23) or were observational studies (n = 10). Few studies were used to identify sleep disorders (n = 2), evaluate response to interventions (n = 3) or deliver interventions (n = 5). In conclusion, the use of consumer-targeted wearable and mobile sleep monitoring technology has largely focused on validation of devices and applications compared with polysomnography (PSG) but opportunities exist for observational research and for delivery of behavioral interventions. Multidisciplinary research is needed to determine the uses of these technologies in interventions as well as the use in more diverse populations including sleep disorders and other patient populations., (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Background: Development of psychosocial group interventions for ovarian cancer survivors has been limited. Drawing from elements of cognitive-behavioral stress management (CBSM), mindfulness-based stress reduction (MBSR), and acceptance and commitment therapy (ACT), we developed and conducted preliminary testing of an Internet-based group intervention tailored specifically to meet the needs of ovarian cancer survivors. The Internet-based platform facilitated home delivery of the psychosocial intervention to a group of cancer survivors for whom attending face-to-face programs could be difficult given their physical limitations and the small number of ovarian cancer survivors at any one treatment site., Objective: The aim of this study was to develop, optimize, and assess the usability, acceptability, feasibility, and preliminary intended effects of an Internet-based group stress management intervention for ovarian cancer survivors delivered via a tablet or laptop., Methods: In total, 9 ovarian cancer survivors provided feedback during usability testing. Subsequently, 19 survivors participated in 5 waves of field testing of the 10-week group intervention led by 2 psychologists. The group met weekly for 2 hours via an Internet-based videoconference platform. Structured interviews and weekly evaluations were used to elicit feedback on the website and intervention content. Before and after the intervention, measures of mood, quality of life (QOL), perceived stress, sleep, and social support were administered. Paired t tests were used to examine changes in psychosocial measures over time., Results: Usability results indicated that participants (n=9) performed basic tablet functions quickly with no errors and performed website functions easily with a low frequency of errors. In the field trial (n=19), across 5 groups, the 10-week intervention was well attended. Perceived stress (P=.03) and ovarian cancer-specific QOL (P=.01) both improved significantly during the course of the intervention. Trends toward decreased distress (P=.18) and greater physical (P=.05) and functional well-being (P=.06) were also observed. Qualitative interviews revealed that the most common obstacles participants experienced were technical issues and the time commitment for practicing the techniques taught in the program. Participants reported that the intervention helped them to overcome a sense of isolation and that they appreciated the ability to participate at home., Conclusions: An Internet-based group intervention tailored specifically for ovarian cancer survivors is highly usable and acceptable with moderate levels of feasibility. Preliminary psychosocial outcomes indicate decreases in perceived stress and improvements in ovarian cancer-specific QOL following the intervention. A randomized clinical trial is needed to demonstrate the efficacy of this promising intervention for ovarian cancer survivors., (©Ellen M Kinner, Jessica S Armer, Bonnie A McGregor, Jennifer Duffecy, Susan Leighton, Marya E Corden, Janine Gauthier Mullady, Frank J Penedo, Susan K Lutgendorf. Originally published in JMIR Cancer (http://cancer.jmir.org), 15.01.2018.)