Scott D. Rothenberger

Chronotype and Diurnal Patterns of Positive Affect and Affective Neural Circuitry in Primary Insomnia

While insomnia is a well‐established risk factor for the initial onset, recurrence or relapse of affective disorders, the specific characteristics of insomnia that confer risk remain unclear. Patients with insomnia with an evening chronotype may be one particularly high‐risk group, perhaps due to alterations in positive affect and its related affective circuitry. We explored this possibility by comparing diurnal patterns of positive affect and the activity of positive affect‐related brain regions in morning‐ and evening‐types with insomnia. We assessed diurnal variation in brain activity via the relative regional cerebral metabolic rate of glucose uptake by using [18F]fluorodeoxyglucose‐positron emission tomography during morning and evening wakefulness. We focused on regions in the medial prefrontal cortex and striatum, which have been consistently linked with positive affect and reward processing. As predicted, chronotypes differed in their daily patterns in both self‐reported positive affect and associated brain regions. Evening‐types displayed diurnal patterns of positive affect characterized by phase delay and smaller amplitude compared with those of morning‐types with insomnia. In parallel, evening‐types showed a reduced degree of diurnal variation in the metabolism of both the medial prefrontal cortex and the striatum, as well as lower overall metabolism in these regions across both morning and evening wakefulness. Taken together, these preliminary findings suggest that alterations in the diurnal activity of positive affect‐related neural structures may underlie differences in the phase and amplitude of self‐reported positive affect between morning and evening chronotypes, and may constitute one mechanism for increased risk of mood disorders among evening‐type insomniacs.

Chronotype predicts positive affect rhythms measured by ecological momentary assessment

Evening chronotype, a correlate of delayed circadian rhythms, is associated with depression. Altered positive affect (PA) rhythms may mediate the association between evening chronotype and depression severity. Consequently, a better understanding of the relationship between chronotype and PA may aid in understanding the etiology of depression. Recent studies have found that individuals with evening chronotype show delayed and blunted PA rhythms, although these studies are relatively limited in sample size, representativeness and number of daily affect measures. Further, published studies have not included how sleep timing changes on workday and non-workdays, or social jet lag (SJL) may contribute to the chronotype-PA rhythm link. Healthy non-depressed adults (n = 408) completed self-report affect and chronotype questionnaires. Subsequently, positive and negative affects were measured hourly while awake for at least two workdays and one non-workday by ecological momentary assessment (EMA). Sleep variables were collected via actigraphy and compared across chronotype groups. A cosinor variant of multilevel modeling was used to model individual and chronotype group rhythms and to calculate two variables: (1) amplitude of PA, or the absolute amount of daily variation from peak to trough during one period of the rhythm and (2) acrophase, or the time at which the peak amplitude of affect rhythms occurred. On workdays, individuals with evening chronotype had significantly lower PA amplitudes and later workday acrophase times than their morning type counterparts. In contrast to predictions, SJL was not found to be a mediator in the relationship between chronotype and PA rhythms. The association of chronotype and PA rhythms in healthy adults may suggest the importance of daily measurement of PA in depressed individuals and would be consistent with the hypothesis that evening chronotype may create vulnerability to depression via delayed and blunted PA rhythms.

Time-varying correlations between delta EEG power and heart rate variability in midlife women: The SWAN Sleep Study

No studies have evaluated the dynamic, time-varying relationship between delta electroencephalographic (EEG) sleep and high frequency heart rate variability (HF-HRV) in women. Delta EEG and HF-HRV were measured during sleep in 197 midlife women (M(age)  = 52.1, SD = 2.2). Delta EEG-HF-HRV correlations in nonrapid eye movement (NREM) sleep were modeled as whole-night averages and as continuous functions of time. The whole-night delta EEG-HF-HRV correlation was positive. The strongest correlations were observed during the first NREM sleep period preceding and following peak delta power. Time-varying correlations between delta EEG-HF-HRV were stronger in participants with sleep-disordered breathing and self-reported insomnia compared to healthy controls. The dynamic interplay between sleep and autonomic activity can be modeled across the night to examine within- and between-participant differences including individuals with and without sleep disorders.

Effectiveness of Online Collaborative Care for Treating Mood and Anxiety Disorders in Primary Care: A Randomized Clinical Trial

Importance Collaborative care for depression and anxiety is superior to usual care from primary care physicians for these conditions; however, challenges limit its provision in routine practice and at scale. Advances in technology may overcome these barriers but have yet to be tested. Objective To examine the effectiveness of combining an internet support group (ISG) with an online computerized cognitive behavioral therapy (CCBT) provided via a collaborative care program for treating depression and anxiety vs CCBT alone and whether providing CCBT in this manner is more effective than usual care. Design, Setting, and Participants In this 3-arm randomized clinical trial with blinded outcome assessments, primary care physicians from 26 primary care practices in Pittsburgh, Pennsylvania, referred 2884 patients aged 18 to 75 years in response to an electronic medical record prompt from August 2012 to September 2014. Overall, 704 patients (24.4%) met all eligibility criteria and were randomized to CCBT alone (n = 301), CCBT+ISG (n = 302), or usual care (n = 101). Intent-to-treat analyses were conducted November 2015 to January 2017. Interventions Six months of guided access to an 8-session CCBT program provided by care managers who informed primary care physicians of their patients’ progress and promoted patient engagement with our online programs. Main Outcomes and Measures Mental health–related quality of life (12-Item Short-Form Health Survey Mental Health Composite Scale) and depression and anxiety symptoms (Patient-Reported Outcomes Measurement Information System) at 6-month follow-up, with treatment durability assessed 6 months later. Results Of the 704 randomized patients, 562 patients (79.8%) were female, and the mean (SD) age was 42.7 (14.3) years. A total of 604 patients (85.8%) completed our primary 6-month outcome assessment. At 6-month assessment, 254 of 301 patients (84.4%) receiving CCBT alone started the program (mean [SD] sessions completed, 5.4 [2.8]), and 228 of 302 patients (75.5%) in the CCBT+ISG cohort logged into the ISG at least once, of whom 141 (61.8%) provided 1 or more comments or posts (mean, 10.5; median [range], 3 [1-306]). Patients receiving CCBT+ISG reported similar 6-month improvements in mental health–related quality of life, mood, and anxiety symptoms compared with patients receiving CCBT alone. However, compared with patients receiving usual care, patients in the CCBT alone cohort reported significant 6-month effect size improvements in mood (effect size, 0.31; 95% CI, 0.09-0.53) and anxiety (effect size, 0.26; 95% CI, 0.05-0.48) that persisted 6 months later, and completing more CCBT sessions produced greater effect size improvements in mental health–related quality of life and symptoms. Conclusions and Relevance While providing moderated access to an ISG provided no additional benefit over guided CCBT at improving mental health–related quality of life, mood, and anxiety symptoms, guided CCBT alone is more effective than usual care for these conditions. Trial Registration clinicaltrials.gov Identifier: NCT01482806

Exercise During Early Pregnancy is Associated With Greater Sleep Continuity

ABSTRACT Objectives/background: Pregnant women report disturbed sleep beginning in early pregnancy. Among nonpregnant populations, exercise has been associated with improved sleep; however, research in pregnant samples has been equivocal. We examined whether varying degrees of exercise were associated with better nocturnal sleep among pregnant women during early gestation. Participants: 172 pregnant women. Methods: Self-reported sleep and exercise and objective sleep were collected during early gestation: T1 (10–12 weeks), T2 (14–16 weeks), and T3 (18–20 weeks) from 172 pregnant women. Exercise was categorized into three time-varying groups: 0 metabolic equivalent minutes per week (MET-min/week), 1 to < 500 MET-min/week, or ≥ 500 MET-min/week. Linear mixed-effects models were employed to test hypotheses. Results: A significant main effect for Time (F[2,254] = 9.77, p < 0.0001) and Time*Exercise group interaction were observed for actigraphic sleep efficiency (aSE) (F[4,569] = 2.73, p = 0.0285). At T2, women who reported ≥ 500 MET-min/week had higher aSE than those who reported 0 MET-min/week. Significant main effects for Exercise Group and Time were observed for actigraphic wake after sleep onset (aWASO; F[2,694] = 3.04, p = 0.0483 and F[2,260] = 3.21, p = 0.0419). aWASO was lowest for those reporting 1 to < 500 MET-min/week (t[701] = 2.35, adjusted p = .0489) and aWASO decreased from T1 to T3 (t[258] = 2.53, adjusted p value = 0.036). Lastly, there was a main effect for Time for the PSQI (F[2,689] = 52.11, p < 0.0001), indicating that sleep quality improved over time. Conclusions: Some level of exercise among pregnant women appears to be more advantageous than no exercise at all. Moderate exercise, while still unclearly defined, may be a worthwhile adjunct treatment to combat sleep disturbances during pregnancy.

Hepatitis C Virus Knowledge Among Pregnant Women with Opioid Use Disorder

Objectives To evaluate Hepatitis C virus (HCV) knowledge and awareness among pregnant women with opioid use disorder (OUD). Methods From May through November 2015, a one-time survey was distributed to a convenience sample of pregnant women with OUD to assess their knowledge and awareness of (a) risk factors for HCV infection, (b) HCV transmission prevention strategies, (c) hepatotoxic risk reduction and (d) perinatal transmission and neonatal implications of HCV infection. Chi square and Fisher’s exact tests were used to compare demographic characteristics and HCV knowledge between participants who were HCV positive and negative. Results Of 179 pregnant women with OUD approached, 169 (94%) completed the survey. Of these, 153 (90.5%) reported at least one risk factor for HCV infection, 85 (50.3%) were HCV positive and 38 (44.7%) of HCV positive women were diagnosed with HCV for the first time during pregnancy. When HCV knowledge was evaluated, 114 (66.7%) responded that sharing eating utensils could transmit HCV, 69 (55.0%) responded that there is a vaccine to prevent HCV and 56 (32.7%) did not identify intranasal drug use as a risk factor for HCV transmission. Among HCV positive women, 61 (71.8%) associated breastfeeding with an increased risk for HCV transmission, 33 (38.1%) failed to identify the importance of pediatric follow-up for HCV-exposed children and 16 (18.8%) perceived the risk of HCV vertical transmission as “likely” or “very likely.” Conclusions for Practice Gaps in HCV knowledge exist among a rapidly growing population of pregnant women with OUD. Healthcare providers have a unique opportunity to provide HCV education and counseling during pregnancy.

My care manager, my computer therapy and me: The relationship triangle in computerized cognitive behavioural therapy

Previous research has reported mixed findings regarding the relationship between therapeutic alliance, engagement and outcomes in e-mental health. This study aims to overcome some of the methodological limitations of previous research and extend our understanding of alliance-outcome relationships in e-mental health by exploring the nature of the relationship triangle between the patient, their care manager and their computerized cognitive behavioural therapy (CCBT) program, accessed with or without an Internet Support Group (ISG). Positive patient-rated alliance with both their care manager and the CCBT program itself was found and these were significantly associated with measures of engagement and clinical outcome. The magnitude of this association was moderate, and within the range of that reported for traditional face-to-face psychotherapies in recent meta-analyses. Limitations of the study, including the reliance on completer data and a cross-sectional design, and directions for future research are presented. Our findings suggest that both the training and supervision of support staff and the optimization of CCBT interventions themselves to enhance alliance and experience may lead to improved engagement and outcomes. Trial Registration: Clinicaltrials.gov Identifier: NCT01482806https://www.clinicaltrials.gov/ct2/show/NCT01482806?term=rollman&rank=4

The Association Between Increased Levels of Patient Engagement With an Internet Support Group and Improved Mental Health Outcomes at 6-Month Follow-Up: Post-Hoc Analyses From a Randomized Controlled Trial

Background We recently reported that depressed and anxious primary care patients randomized to a moderated internet support group (ISG) plus computerized cognitive behavioral therapy (cCBT) did not experience improvements in depression and anxiety over cCBT alone at 6-month follow-up. Objective The 1% rule posits that 1% of participants in online communities generate approximately 90% of new user-created content. The aims of this study were to apply the 1% rule to categorize patient engagement with the ISG and identify whether any patient subgroups benefitted from ISG use. Methods We categorized the 302 patients randomized to the ISG as: superusers (3/302, 1.0%), top contributors (30/302, 9.9%), contributors (108/302, 35.8%), observers (87/302, 28.8%) and those who never logged in (74/302, 24.5%). We then applied linear mixed models to examine associations between engagement and 6-month changes in health-related quality of life (HRQoL; Short Form Health Survey Mental Health Component, SF-12 MCS) and depression and anxiety symptoms (Patient-Reported Outcomes Measurement Information System, PROMIS). Results At baseline, participant mean age was 42.6 years, 81.1% (245/302) were female, and mean Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder scale (GAD-7), and SF-12 MCS scores were 13.4, 12.6, and 31.7, respectively. Of the 75.5% (228/302) who logged in, 61.8 % (141/228) created ≥1 post (median 1, interquartile range, IQR 0-5); superusers created 42.3 % (630/1488) of posts (median 246, IQR 78-306), top contributors created 34.6% (515/1488; median 11, IQR 10-18), and contributors created 23.1 % (343/1488; median 3, IQR 1-5). Compared to participants who never logged in, the combined superuser + top contributor subgroup (n=33) reported 6-month improvements in anxiety (PROMIS: –11.6 vs –7.8; P=.04) and HRQoL (SF-12 MCS: 16.1 vs 10.1; P=.01) but not in depression. No other subgroup reported significant symptom improvements. Conclusions Patient engagement with the ISG was more broadly distributed than predicted by the 1% rule. The 11% of participants with the highest engagement levels reported significant improvements in anxiety and HRQoL. Trial Registration ClinicalTrials.gov NCT01482806; https://clinicaltrials.gov/ct2/show/NCT01482806 (Archived by WebCite at http://www.webcitation.org/708Bjlge9).

Pexel and heatmap visual analysis of multidimensional gun/homicide data

We present a visual analysis tool for mining correlations in county-level, multidimensional gun/homicide data. The tool uses 2D pexels, heatmaps, linked-views, dynamic queries and details-on-demand to analyze annual county-level data on firearm homicide rates and gun availability, as well as various socio-demographic measures. A statistical significance filter was implemented as a visual means to validate exploratory hypotheses. Results from expert evaluations indicate that our methods outperform typical graphical techniques used by statisticians, such as bar graphs, scatterplots and residual plots, to show spatial and temporal relationships. Our visualization has the potential to convey the impact of gun availability on firearm homicides to the public health arena and the general public.