Overlooking the coast: Limited local planning for coastal area management along Michigan's Great Lakes.

This paper presents an evaluation of local efforts to manage Great Lakes coastal shorelands through master plans, focusing on Michigan localities. We framed the analysis around the concepts of capacity, knowledge, and commitment. We conducted plan content evaluations, structured surveys of local officials, and multiple unstructured interviews of local officials and citizens through a participatory action research (PAR) program. We analyzed those data, along with census data, using descriptive statistics, correlations, regression analyses, and triangulation of observations. We found that Michigan's coastal localities are largely failing to consider their coastal areas in their planning, or to adopt meaningful plan policies to manage them, for at least four reasons: damaging erosion and storm events have been relatively infrequent; localities rely on the state to address coastal issues; insurance programs effectively indemnify them when a storm does happen; and-to some extent-shoreland owners push back against proactive local management. To the extent localities are planning, higher overall plan quality is associated with having in-house planning staff (a measure of both capacity and knowledge) and development pressure (knowledge and commitment). To the extent plans address their coastal areas specifically, the adoption of plan policies advancing coastal area management is associated directly with having higher median house values (capacity), in-house planning staff (capacity and knowledge), and development pressure (knowledge and commitment). Focus on coastal management is inversely associated, however, with the use of planning consultants. Higher plan quality is correlated significantly with the adoption of more robust plan policies overall. In sum, having knowledge about coastal dynamics appears important in explaining local planning efforts, but having the capacity to act on that knowledge and the commitment to do so are equally or more important.

Cognitive Vulnerability to Mood Deterioration in an Exercise Cessation Paradigm.

Mood deterioration in response to exercise cessation is well-documented, but moderators of this effect remain unknown. This study tested the hypothesis that physically active individuals with higher levels of cognitive vulnerability (i.e., tendencies towards negative thought content and processes in response to stress or negative mood states) are at greater risk for increased anxiety and depressive symptoms when undergoing exercise cessation. Community adults meeting recommended physical activity guidelines (N=36) participated in a 4-week prospective, longitudinal study with 2 weeks each of maintained exercise and exercise cessation. Cognitive vulnerability measures included dysfunctional attitudes, brooding rumination, and cognitive reactivity (i.e., change in dysfunctional attitudes over a dysphoric mood induction). Anxiety and depression symptoms increased during exercise cessation. Brooding emerged as a risk factor for increases in Tension scores on the Profile of Mood States-Brief during exercise cessation. Future studies should explore brooding as a mediator (i.e., potential mechanism) of exercise-induced mood deterioration.

Yoga-Based Interventions in Low-Income Populations: A Scoping Review.

Introduction: The popularity of yoga has surged in recent years; however, yoga practitioners have remained a largely homogenous population. Research reflects that most practitioners are of a higher socioeconomic status. There are access barriers to yoga for lower income individuals, likely due to factors such as financial constraints and logistical challenges. The primary goal of this review was to synthesize literature on yoga research among low-income populations and better understand the feasibility and acceptability of such interventions. A secondary goal was to assess the consistency of metrics for reporting feasibility and acceptability across such studies using the CheckList Standardizing the Reporting of Interventions for Yoga (CLARIFY) guidelines as a framework. Third, the authors sought to propose additional standardized CLARIFY guidelines that may enhance reporting on the diversity of yoga research populations, adherence, and retention. Methods: The electronic databases PubMed, PsycINFO, Cochrane Central Register of Controlled Trials, and Google Scholar were searched in May 2022 using a prespecified search string. Articles assessing a yoga intervention in predominantly low-income adult populations were deemed eligible for inclusion. Results: The search resulted in 512 potential articles. Eleven were deemed eligible for inclusion. The included studies reported mostly positive effects of yoga on the target outcome (i.e., pain/disability, quality of life/wellness, and psychiatric symptoms). Recruitment and retention data showed generally good attendance and high study completion rates. Common study design components included recruitment embedded within preexisting medical settings, proximal yoga locations, and mitigation of yoga-related costs. Finally, the authors noted inconsistency in the reporting of adherence, retention, and other sociodemographic characteristics of participants and yoga instructors (e.g., race, ethnicity, and income). Discussion: Yoga may promote physical and mental health for low-income individuals. Important facilitators to access are noted, such as proximal study settings, as well as barriers such as the need for childcare that can be addressed in future research. In addition, several study design considerations could help address the specific needs of low-income participants in yoga research, such as compensating participants, recruiting within existing medical settings, and providing yoga-related equipment at no cost. Finally, the authors suggest specific ways to enhance reporting of study metrics related to socioeconomic diversity, by adding to the preexisting CLARIFY guidelines.

Participant Experiences from a Randomized Controlled Trial of Heated Yoga for Depression.

Despite decades of research on yoga and depression, subjective experiences of participants in these studies have rarely been reported, and never in individuals receiving heated yoga for depression. We examined patient-reported qualitative findings from an 8-week randomized controlled trial of heated yoga for depression. Eighty medically healthy participants with moderate-to-severe depression were randomized to 8 weeks of at least twice-weekly heated yoga classes, derived from Bikram yoga, or a waitlist control. Fifty-seven participants received a clinician-administered exit interview at intervention completion/study withdrawal. The exit interview assessed: (1) how participants felt immediately following the heated yoga sessions (acute effects), (2) what they liked or found helpful about heated yoga over the 8-week intervention (positive effects), and (3) what they disliked/did not find helpful over the 8-week intervention (negative effects). Qualitative data were analyzed using thematic analysis. Acute improvements in depressive symptoms (i.e., immediately following yoga) were the most commonly reported (n = 44, 77.2%), followed by overall positive effects on depressive symptoms (i.e., over the course of the 8-week intervention; n = 33, 57.9%), including improvements in sleep (n = 10, 17.5%), energy (n = 13, 22.8%), mood (n = 18, 31.6%), motivation (n = 2, 3.5%), and concentration/decision-making (n = 5, 8.8%). Overall negative effects (i.e., over the course of the 8-week intervention) included dislike of various aspects of the intervention (n = 19, 33.3%), such as instruction (n = 7, 12.3%), difficulty (n = 7, 12.3%), repetitiveness (n = 3, 5.3%), class length (n = 2, 3.5%), and boredom (n = 7, 12.3%). Most participants reported both overall positive and negative effects (n = 37, 64.9%). Of the rest, 19 (33.3%) reported only overall positive effects, and 1 (1.8%) reported only overall negative effects. Most participant experiences were positive. Negative effects were less common and primarily involved dislike of different aspects of the heated yoga. The findings support strong acceptability and subjective improvement in depressive symptoms in depressed individuals.

Change in Seasonal Beliefs Mediates the Durability Advantage of Cognitive-Behavioral Therapy Over Light Therapy for Winter Depression.

In treating an acute episode of winter depression, cognitive-behavioral therapy for seasonal affective disorder (CBT-SAD) and light therapy are comparably efficacious, with improvement in depression symptoms during CBT-SAD mediated by reduced seasonal beliefs (i.e., maladaptive thoughts about the seasons, light availability, and weather). Here, we tested whether the enduring benefit of CBT-SAD over light therapy following treatment is associated with offsetting seasonal beliefs during CBT-SAD. Currently depressed adults with Major Depression, Recurrent with Seasonal Pattern (N = 177) were randomized to 6 weeks of light therapy or group CBT-SAD and followedup one and two winters after treatment. Outcomes measured during treatment and at each follow-up included depression symptoms on the Structured Clinical Interview for the Hamilton Rating Scale for Depression-SAD Version and Beck Depression Inventory-Second Edition. Candidate mediators measured at pre-, mid-, and posttreatment were SAD-specific negative cognitions (Seasonal Beliefs Questionnaire; SBQ); general depressogenic cognitions (Dysfunctional Attitudes Scale; DAS); brooding rumination (Ruminative Response Scale-Brooding subscale; RRS-B); and chronotype (Morningness-Eveningness Questionnaire; MEQ). Latent growth curve mediation models found a significant positive path from treatment group to the slope of SBQ during treatment, with CBT-SAD showing larger improvements in seasonal beliefs with overall change in seasonal beliefs in the medium-effect range, and significant positive paths from SBQ slope to depression scores at the first and second winter follow-ups, indicating greater change towards more flexible seasonal beliefs during active treatment was associated with less severe depression symptoms following treatment. Estimated indirect effects (treatment group → SBQ change * SBQ change → outcome) were also significant at each follow-up for each outcome with ßindirect ranging from .091 to .162. Models also found significant positive paths from treatment group to the slope of MEQ and RRS-B during treatment, with light therapy showing a greater increase in "morningness" and CBT-SAD showing a greater decrease in brooding during active treatment; however, neither construct emerged as a mediator of follow-up depression scores. Change in seasonal beliefs during treatment mediates both the acute antidepressant and long-term effects of CBT-SAD and explains lower depression severity following CBT-SAD relative to light therapy.

A Randomized Controlled Trial of Community-Delivered Heated Hatha Yoga for Moderate-to-Severe Depression.

Objective: To evaluate feasibility, acceptability, and preliminary efficacy of heated yoga to treat moderate-to-severe depression.Design: An 8-week randomized controlled trial (RCT) of heated yoga versus waitlist control was conducted from March 2017 to August 2019.Methods: Participants in the yoga condition were asked to attend heated yoga classes at 2 community heated yoga studios at least twice weekly. We assessed acceptability and feasibility using exit interview and attendance data, respectively. The primary intervention efficacy outcome variable was change in the Inventory of Depressive Symptomatology-Clinician Rated (IDS-CR) score from baseline to post-intervention (week 8).Results: We randomized 80 participants and included 65 (mean [± SD] age 32.7 [± 11.7] years; 81.5% female) in the analyses (yoga n = 33, waitlist n = 32). The mean IDS-CR score at baseline was 35.6 (± 7.9) for the full sample, 36.9 (± 8.8) for yoga participants, and 34.4 (± 6.7) for waitlist participants. Participants attended an average of 10.3 (± 7.1) total classes over the 8-week intervention period. Yoga participants had a significantly greater pre- to post-intervention reduction in IDS-CR scores than waitlist participants (Cohen d = 1.04, P < .001). More yoga participants (59.3%; n = 16) than waitlist participants (6.3%; n = 2) evidenced larger treatment responses (IDS-CR ≥ 50% decrease in symptoms). Participants rated the heated yoga and its aftereffects positively in exit interviews.Conclusions: Approximately 1 heated yoga session per week (mean of 10.3 classes over 8 weeks) was associated with significantly greater reduction in depression symptoms than a waitlist control. Participants rated heated yoga positively. Taken together, results suggest feasibility, acceptability, and preliminary efficacy for patients with depression and warrant further research using active control conditions.Trial Registration: ClinicalTrials.gov identifier: NCT02607514.

A large clinical trial to improve well-being during the transition to college using wearables: The lived experiences measured using rings study.

INTRODUCTION: The transition to college is a period of elevated risk for a range of mental health conditions. Although colleges and universities strive to provide mental health support to their students, the high demand for these services makes it difficult to provide scalable, cost-effective solutions. OBJECTIVE: To address these issues, the present study aims to compare the efficacy of three different treatments using a large cohort of 600 students transitioning to college. Interventions were selected based on their potential for generalizability and cost-effectiveness on college campuses. METHODS: The study is a Phase II parallel-group, four-arm, randomized controlled trial with 1:1 allocation that will assign 600 participants to one (n = 150 per condition) of four arms: 1) group-based therapy, 2) physical activity program, 3) nature experiences, or 4) weekly assessment condition as a control group. Physiological data will be collected from all participants using a wearable device to develop algorithmic mental and physical health functioning predictions. Once recruitment is complete, modeling strategies will be used to evaluate the outcomes and effectiveness of each intervention. DISCUSSION: The findings of this study will provide evidence as to the benefits of implementing scalable and proactive interventions using technology with the goal of improving the well-being and success of new college students.

The Promise and Challenge of Integrating Multidisciplinary and Civically Engaged Learning.

Today's students need to become specialists in their profession while also recognizing the blinders that specialization brings- they need both disciplinary and meta-disciplinary learning. Today's universities need to innovate by providing an education responsive to contemporary demands. They also need to show their relevance to the broader publics they serve. This article critically assesses a teaching initiative that brings together existing courses from multiple disciplines working for publicoriented clients to collaborate on closely related problems. The Michigan Engaging Community through the Classroom initiative was designed to enhance students' learning by making them smarter, more pragmatic, and wiser while simultaneously enhancing the university's public service. This article assesses the promise and the challenges of such a complex initiative and summarizes preliminary findings from student and community partner evaluations. The initiative has been challenging to implement because of the faculty dedication it requires. Developing robust evaluations of student learning has proven difficult as well. We have found that when student, faculty, and partner expectations are raised but not fulfilled, frustrations run high. When coordination and collaboration align, however, student learning can be enriched and public service enhanced. The article concludes by discussing lessons learned and presenting models of collaboration developed in turn.

Very Low-Level Transcranial Photobiomodulation for Major Depressive Disorder: The ELATED-3 Multicenter, Randomized, Sham-Controlled Trial.

Background: Transcranial photobiomodulation (t-PBM) with near-infrared (NIR) light might represent a treatment for major depressive disorder (MDD). However, the dosimetry of administered t-PBM varies widely. We tested the efficacy of t-PBM with low irradiance, low energy per session, and low number of sessions in individuals with MDD.Methods: A 2-site, double-blind, sham-controlled study was conducted of adjunct t-PBM NIR (830 nm; continuous wave; 35.8 cm2 treatment area; 54.8 mW/cm2 irradiance; 65.8 J/cm2 fluence, 20 min/session; ~2 W total power; 2.3 kJ total energy per session), delivered to the prefrontal cortex, bilaterally, twice a week for 6 weeks, in subjects diagnosed with MDD per the DSM-IV criteria. Subjects were recruited between August 2016 and May 2018. A sequential parallel comparison design was used: 18 nonresponders to sham in phase 1 (6 weeks) were re-randomized in phase 2. The primary outcome was reduction in depression severity (Hamilton Depression Rating Scale [HDRS-17] and Quick Inventory of Depressive Symptomatology-Clinician Rating [QIDS-C] scores) from baseline. Statistical analyses used R package SPCDAnalyze2, including all subjects with ≥ 1 post-randomization evaluation.Results: Of the 54 subjects recruited, we included 49 MDD subjects in the analysis (71% female, mean ± SD age 40.8 ± 16.1 years). There were no significant differences between t-PBM and sham with respect to the change in HDRS-17 (t = -0.319, P = .751) or QIDS-C (t = -0.499, P = .620) scores. The sham effect was reasonably low.Conclusions: Mostly uncontrolled studies suggest the efficacy of t-PBM for MDD; however, its optimal dose is still to be defined. A minimal dose threshold is likely necessary, similarly to other neuromodulation techniques in MDD (electroconvulsive therapy, transcranial magnetic stimulation). We established a threshold of inefficacy of t-PBM for MDD, based on combined low irradiance, low energy per session, and low number of sessions.Trial Registration: ClinicalTrials.gov identifier: NCT02959307.

Depressed Chinese Americans present predominantly psychological symptoms: A new trend or different outcomes due to methodological differences?

People of Asian cultural origin have been reported to emphasize somatic rather than psychological symptoms when they are depressed. However, a recent study investigated 190 Chinese immigrants with depression in a primary care clinic and reported that they were more likely to report depressed mood, rather than physical symptoms. We performed a qualitative analysis of the chief complaint narratives of 57 Chinese immigrants with major depressive disorder who were referred to a behavioral health clinic. These patients' chief complaints included insomnia, sadness, anxiety, cognition issues, being irritated/annoyed, having low energy/motivation, and stress. Among this population, 70.18 % presented psychological symptoms, 5.26 % presented somatic symptoms, and the remaining 15.8 % presented only neutral symptoms (e.g. 'low energy', 'loss of appetite', and 'insomnia'). Our findings show that depressed Chinese Americans at outpatient clinics present predominantly psychological and not somatic symptoms. This may reflect a new trend of symptoms reporting among Asian Americans with depression.

A Patient With Electroconvulsive Therapy-resistant Major Depressive Disorder With a Full Response to Heated Yoga: A Case Report.

Depression remains difficult to treat as a result of less than optimal efficacy and troublesome side effects of antidepressants. The authors present the case of a patient with treatment-resistant depression with melancholic features who had previously been unresponsive to electroconvulsive therapy (ECT) plus an antidepressant regimen but whose condition fully remitted with the addition of a standardized form of heated hatha yoga (HY; Bikram yoga) practiced in a room heated to 105°F. The patient was a 28-year-old woman who underwent 8 weeks of HY as part of a randomized controlled trial of HY for depression while continuing her antidepressant treatment. The patient was asked to attend a minimum of 2 weekly, 90-minute HY classes. After 8 weeks (12 classes in total), the patient no longer met the criteria for a major depressive episode with melancholic features, per Mini-International Neuropsychiatric Interview (MINI) criteria. Her depressive symptoms had improved dramatically, with Inventory of Depressive Symptomatology, Clinician-Rated (IDS-C30), and Hamilton Depression Rating Scale (HAM-D28) scores decreasing from 28 at baseline to 3, and from 28 at baseline to 4, respectively, indicating remission. This patient's ECT-resistant depression remitted with the addition of HY to her antidepressant regimen. Because of her youth and athleticism, this patient was likely well suited to this rigorous form of yoga. Further research is needed to explore HY as a potential intervention for treatment-resistant depression.

Dao Yin (a.k.a. Qigong): Origin, Development, Potential Mechanisms, and Clinical Applications.

Dao Yin is a form of exercise combining physical movements, mental focus, and breathing originated in ancient China. In this review, we introduce the history in the development and the scope of Dao Yin, the relationship between Dao Yin with Taoist culture and Qigong, and the potential mechanisms of how Dao Yin promotes health and alleviate illnesses. Empirical research studies using Dao Yin for treatment of lumbar spondylosis, peripheral musculoskeletal diseases, cervical spondylosis, heart diseases, central nervous system disorders, immunological dysfunction, and psychological disorders are detailed.

Reported Side Effects, Weight and Blood Pressure, After Repeated Sessions of Transcranial Photobiomodulation.

Background: Transcranial photobiomodulation (t-PBM) consists in the delivery of near-infrared light (NIR) to the scalp, directed to cortical areas of the brain. NIR t-PBM recently emerged as a potential therapy for depression, although safety of repeated treatments has not been adequately explored. Objective: This study assessed incidence of side effects, including weight and blood pressure changes, during repeated sessions of NIR t-PBM using a light-emitting diode source. Methods: We performed a secondary analysis of a double-blind clinical trial on t-PBM for major depressive disorder. Eighteen individuals received NIR t-PBM (n = 9) or sham (n = 9) twice weekly for 8 weeks. Side effects were assessed using the Systematic Assessment for Treatment-Emergent Effects-Specific Inquiry. In 14 individuals (nNIR = 6 vs. nsham = 8), body weight and systemic blood pressure were recorded at baseline and end-point. Results: More subjects in the NIR t-PBM group experienced side effects compared to sham, but only a trend for statistical significance was observed (χ2 = 3.60; df = 1; p = 0.058). The rate of side effects described by participants as "severe" in intensity was low and similar between the treatment groups (χ2 = 0.4; df = 1; p = 0.53), with no serious adverse events. Most side effects resolved during the study and treatment interruption were not required. Changes in weight and systolic blood pressure across groups were neither significant nor approached significance. In the NIR t-PBM group, diastolic blood pressure increased and reached statistical-however not clinical-significance (5.67 ± 7.26 vs. -6.13 ± 6.88; z = -2.40, p = 0.016). Conclusions: This small-sample, exploratory study indicates repeated sessions of NIR t-PBM might be associated with treatment-emergent side effects. The systemic metabolic and hemodynamic profile of repeated t-PBM appeared benign. Future studies with larger samples and longer follow-up are needed to more accurately determine the side-effect profile and safety of NIR t-PBM.

Optimal nonlinear filtering using the finite-volume method.

Optimal sequential inference, or filtering, for the state of a deterministic dynamical system requires simulation of the Frobenius-Perron operator, that can be formulated as the solution of a continuity equation. For low-dimensional, smooth systems, the finite-volume numerical method provides a solution that conserves probability and gives estimates that converge to the optimal continuous-time values, while a Courant-Friedrichs-Lewy-type condition assures that intermediate discretized solutions remain positive density functions. This method is demonstrated in an example of nonlinear filtering for the state of a simple pendulum, with comparison to results using the unscented Kalman filter, and for a case where rank-deficient observations lead to multimodal probability distributions.