Digital phenotyping data and anomaly detection methods to assess changes in mood and anxiety symptoms across a transdiagnostic clinical sample.

INTRODUCTION: Clinical assessment of mood and anxiety change often relies on clinical assessment or self-reported scales. Using smartphone digital phenotyping data and resulting markers of behavior (e.g., sleep) to augment clinical symptom scores offers a scalable and potentially more valid method to understand changes in patients' state. This paper explores the potential of using a combination of active and passive sensors in the context of smartphone-based digital phenotyping to assess mood and anxiety changes in two distinct cohorts of patients to assess the preliminary reliability and validity of this digital phenotyping method. METHODS: Participants from two different cohorts, each n = 76, one with diagnoses of depression/anxiety and the other schizophrenia, utilized mindLAMP to collect active data (e.g., surveys on mood/anxiety), along with passive data consisting of smartphone digital phenotyping data (geolocation, accelerometer, and screen state) for at least 1 month. Using anomaly detection algorithms, we assessed if statistical anomalies in the combination of active and passive data could predict changes in mood/anxiety scores as measured via smartphone surveys. RESULTS: The anomaly detection model was reliably able to predict symptom change of 4 points or greater for depression as measured by the PHQ-9 and anxiety as measured for the GAD-8 for both patient populations, with an area under the ROC curve of 0.65 and 0.80 for each respectively. For both PHQ-9 and GAD-7, these AUCs were maintained when predicting significant symptom change at least 7 days in advance. Active data alone predicted around 52% and 75% of the symptom variability for the depression/anxiety and schizophrenia populations respectively. CONCLUSION: These results indicate the feasibility of anomaly detection for predicting symptom change in transdiagnostic cohorts. These results across different patient groups, different countries, and different sites (India and the US) suggest anomaly detection of smartphone digital phenotyping data may offer a reliable and valid approach to predicting symptom change. Future work should emphasize prospective application of these statistical methods.

Adaptation and translation of a scalable measure for assessing health worker competence to deliver a brief psychological intervention: A case study from central India of its comparison to a performance-based measure.

Efforts to reduce the global burden of common mental disorders have focused on scaling up evidence-based training programs for non-specialist providers to deliver brief psychological interventions. To evaluate these provider training programs, appropriate and scalable assessments of competency need to be developed alongside them. We followed a systematic approach for the cultural adaptation and translation into Hindi of a valid, English, multiple-choice applied knowledge measure to assess non-specialists' competence to deliver a brief psychological intervention for depression in rural India. We then explored the relationship between the performance of 30 non-specialist providers on the same written measure compared with a structured performance-based measure consisting of two role-plays. The results of the multiple-choice assessment had an overall mean score of 37.40 (SD = 11.31) compared to the mean scores of role-play A (the easier role-play) of 43.25 (SD = 14.50) and role-play B (the more difficult role-play) of 43.25 (SD = 13.00). Role-play performance-based measures and written applied knowledge measures represent different approaches with unique strengths and challenges to measuring competence. Scaling up training programs requires the development of scalable methods for competency assessment. Exploring the relationship between these two measures, our team found no apparent differences between the two modes of assessment. Continued comparison of these approaches is needed to determine the consistency of outcomes across the two formats and to link the scores on these measures with clinical performance as reflected by the quality of care and patient outcomes.Trial Registration: ClinicalTrials.gov Identifier: NCT04157816; 8th November 2019.

Development of a Digital Program for Training Community Health Workers in the Detection and Referral of Schizophrenia in Rural India.

This study aimed to develop and assess the acceptability of a digital program for training community health workers (CHWs) in the detection and referral of patients with schizophrenia in community settings in rural India. An iterative design process was employed. First, evidence-based content from existing community programs for schizophrenia care was incorporated into the curriculum, and reviewed by experts to ensure clinical utility and fidelity of the adapted content. Second, CHWs provided feedback on the appropriateness of language, content, and an initial prototype of the digital training program to ensure relevance for the local context. Focus group discussions were then used to understand the acceptability of the digital training prototype and to inform modifications to the design and layout. Qualitative data was analysed using a rapid thematic analysis approach based on predetermined topics pertaining to acceptability of the training content and digital platform. Development of the initial prototype involved content review by 13 subject matter experts with clinical expertise or experience accessing and receiving mental health services, and engagement of 23 CHWs, of which 11 provided feedback for contextualization of the training content and 12 participated in focus group discussions on the acceptability of the prototype. Additionally, 2 service-users with lived experience of schizophrenia contributed to initial testing of the digital training prototype and offered feedback in a focus group discussion. During contextualization of the training content, key feedback pertained to simplifying the language and presentation of the content by removing technical terms and including interactive content and images to enhance interest and engagement with the digital training. During prototype testing, CHWs shared their familiarity with similar symptoms but were unaware of schizophrenia as a treatable illness. They shared that training can help them identify symptoms of schizophrenia and connect patients with specialized care. They were also able to understand misconceptions and discrimination towards people with schizophrenia, and how to address these challenges by supporting others and spreading awareness in their communities. Participants also appreciated the digital training, as it could save them time and could be incorporated within their routine work. This study shows the acceptability of leveraging digital technology for building capacity of CHWs to support early detection and referral of schizophrenia in community settings in rural India. These findings can inform the subsequent evaluation of this digital training program to determine its impact on enhancing the knowledge and skills of CHWs.

Digital Platform Uses for Help and Support Seeking of Parents With Children Affected by Disabilities: Scoping Review.

BACKGROUND: Receiving a diagnosis that leads to severe disability in childhood can cause a traumatic experience with long-lasting emotional stress for patients and family members. In recent decades, emerging digital technologies have transformed how patients or caregivers of persons with disabilities manage their health conditions. As a result, information (eg, on treatment and resources) has become widely available to patients and their families. Parents and other caregivers can use digital platforms such as websites or social media to derive social support, usually from other patients and caregivers who share their lived experiences, challenges, and successes on these platforms. However, gaps remain in our understanding of platforms that are most frequently used or preferred among parents and caregivers of children with disabilities. In particular, it is not clear what factors primarily drive or discourage engagement with these digital tools and what the main ethical considerations are in relation to these tools. OBJECTIVE: We aimed to (1) identify prominent digital platforms used by parents or caregivers of children with disabilities; (2) explore the theoretical contexts and reasons for digital platform use, as well as the experiences made with using these platforms reported in the included studies; and (3) identify any privacy and ethical concerns emerging in the available literature in relation to the use of these platforms. METHODS: We conducted a scoping review of 5 academic databases of English-language articles published within the last 10 years for diseases with childhood onset disability and self-help or parent/caregiver-led digital platforms. RESULTS: We identified 17 papers in which digital platforms used by parents of affected children predominantly included social media elements but also search engines, health-related apps, and medical websites. Information retrieval and social support were the main reasons for their utilization. Nearly all studies were exploratory and applied either quantitative, qualitative, or mixed methods. The main ethical concerns for digital platform users included hampered access due to language barriers, privacy issues, and perceived suboptimal advice (eg, due to missing empathy of medical professionals). Older and non-college-educated individuals and ethnic minorities appeared less likely to access information online. CONCLUSIONS: This review showed that limited scientifically sound knowledge exists on digital platform use and needs in the context of disabling conditions in children, as the evidence consists mostly of exploratory studies. We could highlight that affected families seek information and support from digital platforms, as health care systems seem to be insufficient for satisfying knowledge and support needs through traditional channels.

Opportunities to expand access to mental health services: A case for the role of online peer support communities.

This study investigated whether with disruptions in care due to the COVID-19 pandemic, persons who self-identified as living with a mental health condition increased their usage of an online peer support community. We also explored whether study participants who self-reported usage of online peer support communities were interested in using these communities to connect with evidence-based interventions and mental health services. This study employed a cross-sectional online survey design. The survey was disseminated by the Inspire online peer support community and Mental Health America through various social media channels. Descriptive and inferential analyses were conducted to summarize participant demographics, investigate patterns of use of online peer support communities, and interest in accessing additional programs through these platforms. There were 369 survey respondents, with a mean age of 49 (SD = 15.6), of which 77% were female. Most respondents self-reported having depression (34%), post-traumatic stress disorder (25%), and anxiety-related conditions (20%). The number of respondents who reported accessing online peer support platforms multiple times a day appeared to double after March 2020. We also found an overall positive association between frequency of community use and self-reported benefit to mental health. Approximately 81% of respondents expressed interest in accessing mental health services via an online peer support community. Persons who self-report living with mental health conditions and who engage in online peer support communities expressed interest in accessing evidence-based interventions via these online platforms. Participants were most interested in services related to enhancing coping mechanisms and skills, enabling overall wellbeing, and accessing therapy.

Virtual Learning Collaborative Compared to Technical Assistance as a Strategy for Implementing Health Promotion in Routine Mental Health Settings: A Hybrid Type 3 Cluster Randomized Trial.

BACKGROUND: Despite widespread use of learning collaboratives, few randomized trials have evaluated their effectiveness as a strategy for implementing evidence based practices. This randomized trial evaluated the effectiveness of a virtual learning collaborative (VLC) in the implementation of a health promotion program for persons with serious mental illness (SMI) aimed at reducing cardiovascular risk reduction in routine mental health settings, compared to routine technical assistance (TA). METHODS: Fifty-five mental health provider organizations were recruited to participate in a Hybrid Type 3 cluster randomized implementation-effectiveness trial of the InSHAPE health promotion program for persons with SMI. Sites were stratified by size and randomized prior to implementation to an 18-month group-based VLC with monthly learning sessions or individual site TA with four scheduled conference calls over 18 months. Primary implementation and service outcomes were InSHAPE program fidelity, participation, and reach. Primary clinical outcomes were weight loss, cardiorespiratory fitness, and cardiovascular risk reduction (≥ 5% weight loss or > 50 m increase on the 6-Minute Walk Test). Program fidelity was assessed at 6, 12, and 24 months; program participation and participant-level outcomes were assessed at 3, 6, 9, and 12 months. RESULTS: VLC (N = 27) and TA (N = 28) sites were similar in organizational characteristics (all p > 0.05). At 12-month follow-up mean program fidelity score was higher in VLC compared to TA (90.5 vs. 79.1; p = 0.002), with over double the proportion with good fidelity (VLC = 73.9% vs. TA = 34.8%; p = 0.009). Over half of individuals in both VLC and TA achieved cardiovascular risk-reduction at 6-month follow-up (VLC: 51.0%; TA: 53.5%; p = 0.517) and at 12-month follow-up (62% VLC and TA; p = 0.912). At 12-month follow-up VLC compared to TA was associated with greater participation (VLC 69.5% vs. TA 56.4% attending at least 50% of sessions, p = 0.002); larger caseloads (VLC = 16 vs. TA = 11; p = 0.024); greater reach consisting of 45% greater number of participants receiving InSHAPE (VLC = 368 vs. TA = 253), and 58% greater number of participants achieving cardiovascular risk reduction (VLC = 150 vs. TA = 95). CONCLUSION: Virtual learning collaboratives compared to routine technical assistance as an implementation strategy for evidence-based health promotion promote greater intervention fidelity, greater levels of intervention participation, greater reach, and a greater number of participants achieving clinically significant risk reduction outcomes, while achieving similarly high levels of intervention effectiveness for participants who completed at least 6 months of the program.

Reducing psychological distress and depression in humanitarian emergencies: An essential role for nonspecialists.

John Naslund and Eirini Karyotaki discuss Mark Jordans and colleagues' accompanying research study on therapy for people with psychological distress in Nepal.

Use of digital health tools for health promotion in cancer survivors.

OBJECTIVE: Although digital health tools (DHTs) are a promising alternative and effective strategy to deliver cancer care and support, their role in health promotion among cancer survivors remains relatively unexplored. We aimed to investigate the acceptability and impact of DHT for health promotion in cancer survivors. METHODS: Data was pooled from cycle three of the fifth edition of the Health Information National Trends Survey. Logistic regressions were conducted to evaluate differences between cancer survivors and the general population regarding ownership, usage, and perceived usefulness of DHT for health management. Regression models were used to identify sociodemographic predictors of DHT usage among cancer survivors. RESULTS: Overall, cancer survivors were as likely as the general population to own and use DHT (e.g., health apps, wearable devices) for their care and they were likely to find these tools beneficial in tracking their health and communicating with healthcare providers. Cancer survivors who had health applications installed on their mobile device were more likely to meet national recommendations for diet (fruit and vegetable consumption) and strength training than those without health apps. Age, income, and education level were significant sociodemographic predictors of DHT ownership and usage. CONCLUSION: Cancer survivors own and use DHT at similarly high rates to the general population, highlighting the potential for utilizing DHT to expand access and continuity of care in the growing and vulnerable oncology population. With increasing use of DHT in healthcare, future research that targets digital access disparities in cancer survivors from low SES is essential.

Opportunities to Improve a Mobile Obesity Wellness Intervention for Rural Older Adults with Obesity.

Older adults with obesity are at a high risk of decline, particularly in rural areas. Our study objective was to gain insights into how a potential Mobile Health Obesity Wellness Intervention (MOWI) in rural older adults with obesity, consisting of nutrition and exercise sessions, could be helpful to improve physical function. A qualitative methods study was conducted in a rural community, community-based aging center. Four community leaders, 7 clinicians and 29 patient participants underwent focus groups and semi-structured interviews. All participants had a favorable view of MOWI and saw its potential to improve health and create accountability. Participants noted that MOWI could overcome geographic barriers and provided feedback about components that could improve implementation. There was expressed enthusiasm over its potential to improve health. The use of technology in older adults with obesity in rural areas has considerable promise. There is potential that this intervention could potentially extend to distant areas in rural America that can surmount accessibility barriers. If successful, this intervention could potentially alter healthcare delivery by enhancing health promotion in a remote, geographically constrained communities. MOWI has the potential to reach older adults with obesity using novel methods in geographically isolated regions.

Assessing the Integration of Behavioral Health Services in Primary Care in Colombia.

Integration of behavioral health care into primary care can improve health and economic outcomes. This study adapted the Behavioral Health Integration in Medical Care (BHIMC) index to the Colombian context and assessed the baseline level of behavioral health integration in a sample of primary care organizations. The BHIMC was able to detect the capacity to provide integrated behavioral care in Colombian settings. Results indicate a minimal to partial integration level across all sites, and that it is possible to measure the degree of integrated care capacity and identify improvement areas for better behavioral health care provision.

Mental Ill-Health Risk Factors in the Construction Industry: Systematic Review.

Mental ill health is a significant cause of suicide and disability worldwide. It has particularly affected the construction industry. The construction labor sectors in Australia and the United Kingdom have suicide rates 2 and 3.7 times higher, respectively, than their overall national averages, which has attracted the attention of researchers and the industry. However, few studies have examined the state of construction workers' mental health. This paper systematically reviews the existing body of knowledge on mental health in the construction industry. In total, 16 journal articles met inclusion criteria, and 32 risk factors (RFs) were deduced. The foremost RFs were related to job demand and job control. A conceptual framework and checklist to aid in better understanding these RFs were developed. In assessing mental health, the primary tool used was the Depression Anxiety Stress Scale. The findings of this study help to deepen the understanding of professional mental health assessment scales and relevant RFs and protective factors as used in the construction industry. The study concludes that stronger methodologies are needed for studies into RFs and protective factors in the construction industry.

Innovative Models in Mental Health Delivery Systems: Task Sharing Care with Non-specialist Providers to Close the Mental Health Treatment Gap.

PURPOSE OF REVIEW: Most people do not have access to adequate mental health care, and lack of skilled human resources is a major factor. We provide a narrative review of approaches to implementing task sharing-engaging non-specialist providers-to deliver mental health care. RECENT FINDINGS: There is strong evidence both for the effectiveness of task sharing as a means of delivering care for a range of conditions across settings and for the effectiveness of non-specialist providers and health workers in delivering elements of culturally adapted psychosocial and psychological interventions for common and severe mental disorders. Key approaches to facilitate task sharing of care include balanced care, collaborative care, sustained training and supervision, use of trans-diagnostic interventions based on a dimensional approach to wellness and illness, and the use of emerging digital technologies. Non-specialist providers and health workers are well positioned to deliver evidence-based interventions for mental disorders, and a variety of delivery approaches can support, facilitate, and sustain this innovation. These approaches should be used, and evaluated, to increase access to mental health services.

Smartphone-Based Tracking of Sleep in Depression, Anxiety, and Psychotic Disorders.

PURPOSE OF REVIEW: Sleep is an important feature in mental illness. Smartphones can be used to assess and monitor sleep, yet there is little prior application of this approach in depressive, anxiety, or psychotic disorders. We review uses of smartphones and wearable devices for sleep research in patients with these conditions. RECENT FINDINGS: To date, most studies consist of pilot evaluations demonstrating feasibility and acceptability of monitoring sleep using smartphones and wearable devices among individuals with psychiatric disorders. Promising findings show early associations between behaviors and sleep parameters and agreement between clinic-based assessments, active smartphone data capture, and passively collected data. Few studies report improvement in sleep or mental health outcomes. Success of smartphone-based sleep assessments and interventions requires emphasis on promoting long-term adherence, exploring possibilities of adaptive and personalized systems to predict risk/relapse, and determining impact of sleep monitoring on improving patients' quality of life and clinically meaningful outcomes.

Pain intensity, depressive symptoms, and functional limitations among older adults with serious mental illness.

OBJECTIVE: To examine pain-related activity interference as a mediator for the relationship between pain intensity and depressive symptoms among older adults with serious mental illness (SMI). METHOD: Ordinary least-squares regressions were used to investigate the mediation analysis among older adults with SMI (n = 183) from community mental health centers. Analyses used secondary data from the HOPES intervention study. RESULTS: Higher pain intensity was associated with greater pain-related activity interference. Higher pain intensity and pain-related activity interference were also associated with elevated depressive symptoms. Finally, greater pain-related activity interference significantly mediated the association between higher pain intensity and elevated depressive symptoms. CONCLUSIONS: These findings demonstrate that pain and depressive symptoms may be linked to functional limitations. Clinicians and researchers in the mental health field should better address pain-related activity interference among older adults with SMI, especially among those with higher pain intensity and elevated depressive symptoms.

Qualitative analysis of social network influences on quitting smoking among individuals with serious mental illness.

Objective: The prevalence of cigarette smoking among adults with serious mental illness (SMI) remains high in the United States despite the availability of effective smoking cessation treatment. Identifying social influences on smoking and smoking cessation may help enhance intervention strategies to help smokers with SMI quit. The objective of this qualitative study was to explore social network influences on efforts to quit smoking among adults with SMI enrolled in a cessation treatment program. Methods: Participants were 41 individuals with SMI enrolled in a Medicaid Demonstration Project of smoking cessation at community mental health centers. A convenience sampling strategy was used to recruit participants for social network interviews exploring the influence of family, friends, peers, and significant others on quitting smoking. A team-based analysis of qualitative data involved descriptive coding, grouping coded data into categories, and identifying themes across the data. Results: Social barriers to quitting smoking included pro-smoking social norms, attitudes, and behaviors of social network members, and negative interactions with network members, either specific to smoking or that triggered smoking. Social facilitators to quitting included quitting with network members, having cessation role models, and social support for quitting from network members. Conclusions: Similar to the general population, social factors appear to influence efforts to quit smoking among individuals with SMI enrolled in cessation treatment. Interventions that leverage positive social influences on smoking cessation have the potential to enhance strategies to help individuals with SMI quit smoking.

Certified Peer Specialists and Older Adults With Serious Mental Illness' Perspectives of the Impact of a Peer-Delivered and Technology-Supported Self-Management Intervention.

We explored the perspectives of certified peer specialists and older adults with serious mental illness on the impact of a peer-delivered medical and psychiatric self-management intervention, "PeerTECH." Transcripts from interviews with consumers with serious mental illness and a focus group with certified peer specialists who were engaged in PeerTECH were analyzed. Consumer participants (n = 8) had a mean age of 68.8 years (SD = 4.9) and included individuals diagnosed with major depressive disorder (five people), schizophrenia spectrum disorders (two people), and bipolar disorder (one person). Certified peer specialists (n = 3) were aged 55 years or more. Themes included internal and external forces of accountability, confidence, internal and external locus of hope, human bonding, and peer support. This exploratory qualitative study found that human support from peers can potentially influence health behavioral change in a combined peer and technology-based medical and psychiatric illness self-management intervention.

Online Communication about Depression and Anxiety among Twitter Users with Schizophrenia: Preliminary Findings to Inform a Digital Phenotype Using Social Media.

Digital technologies hold promise for supporting the detection and management of schizophrenia. This exploratory study aimed to generate an initial understanding of whether patterns of communication about depression and anxiety on popular social media among individuals with schizophrenia are consistent with offline representations of the illness. From January to July 2016, posts on Twitter were collected from a sample of Twitter users who self-identify as having a schizophrenia spectrum disorder (n = 203) and a randomly selected sample of control users (n = 173). Frequency and timing of communication about depression and anxiety were compared between groups. In total, the groups posted n = 1,544,122 tweets and users had similar characteristics. Twitter users with schizophrenia showed significantly greater odds of tweeting about depression compared with control users (OR = 2.69; 95% CI 1.76-4.10), and significantly greater odds of tweeting about anxiety compared with control users (OR = 1.81; 95% CI 1.20-2.73). This study offers preliminary insights that Twitter users with schizophrenia may express elevated symptoms of depression and anxiety in their online posts, which is consistent with clinical characteristics of schizophrenia observed in offline settings. Social media platforms could further our understanding of schizophrenia by informing a digital phenotype and may afford new opportunities to support early illness detection.

Facebook for Supporting a Lifestyle Intervention for People with Major Depressive Disorder, Bipolar Disorder, and Schizophrenia: an Exploratory Study.

To examine whether Facebook could support a community-based group lifestyle intervention for adults with serious mental illness. Participants with serious mental illness and obesity enrolled in a 6-month group lifestyle program were invited to join a secret Facebook group to support their weight loss and physical activity goals. Two peer co-facilitators moderated the Facebook group. The proportion of participants who achieved ≥5% weight loss or improved fitness was measured at follow-up. The relationship between this outcome and participants' interactions in the Facebook group was examined. Interactions were defined as active contributions including posts, comments, or likes. Content of participants' Facebook posts was also explored. Participants (n = 25) had major depression (44%), bipolar disorder (36%), and schizophrenia (20%). Nineteen (76%) participants joined the Facebook group, and contributed 208 interactions (70 posts; 81 comments; 57 likes). Participants who achieved ≥5% weight loss or improved fitness contributed more interactions in the Facebook group (mean = 19.1; SD = 20.5) compared to participants who did not (mean = 3.9; SD = 6.7), though this relationship approached statistical significance (t = -2.1; Welch's df = 13.1; p = 0.06). Participants' posts containing personal sharing of successes or challenges to adopting healthy behaviors generated more interaction compared to posts containing program reminders (p < 0.01), motivational messages (p < 0.01), and healthy eating content (p < 0.01). Facebook appears promising for supporting health behavior change among people with serious mental illness. These findings can inform social media initiatives to scale up health promotion efforts targeting this at-risk group.

A Survey of Online and Mobile Technology Use at Peer Support Agencies.

Understanding how individuals with mental illness who receive services at peer support agencies use technology can inform the development of online and mobile health interventions tailored for users in these non-traditional mental health settings. The purpose of this study was to assess the use of technology among individuals with mental illness at peer support agencies. A survey delivered within peer support agencies (PSAs) in one state assessed technology use among individuals ages 18 and over with a self-identified mental illness receiving services at these agencies. In total, 195 individuals from 10 PSAs completed the survey. Eighty-two percent of respondents used the internet, with 63% of respondents connected to the internet at the PSAs. Eighty one percent of respondents owned a cell phone, 70% used text messaging, 58% owned smartphones, 61% used mobile applications, and 72% used social media. PSA users under age 55 were significantly more likely to own a smartphone than PSA users age 55 and older. Among internet users, 71% had searched for health information online and 57% had searched for mental health information online. Many individuals who receive services at PSAs have access to online and mobile technologies. These technologies may be leveraged to expand the reach of evidence-based health and mental health programs to individuals in these non-traditional mental health settings. Future research should explore the feasibility of intervention strategies that involve PSAs as a resource for linking people with mental illness to online and mobile support for their health and wellness goals.

Association Between Cardiovascular Risk and Depressive Symptoms Among People With Serious Mental Illness.

Depressive symptoms have debilitating effects on the physical health and functioning of people with serious mental illness. We examined change in depressive symptoms among overweight and obese adults with serious mental illness (n = 343) using data combined from two randomized trials comparing the 12-month In SHAPE program to a gym membership control condition. In SHAPE consists of a gym membership, weekly individual meetings with a fitness trainer, and instruction on healthy eating and nutrition. Depressive symptoms were measured at baseline, 3, 6, and 12 months. Change in depressive symptoms did not differ between groups, but depressive symptoms decreased over time across the entire sample (p = 0.045). At 12 months, reduced depressive symptoms were associated with clinically significant improved cardiorespiratory fitness (p = 0.030), 10% or more weight loss (p = 0.044), and cardiovascular risk reduction (p = 0.028) across both groups. Our findings suggest that participation in health promotion programs resulting in cardiovascular risk reduction may be associated with reduced depressive symptoms.