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Background: Myocardial strain using cardiac magnetic resonance (CMR) is a sensitive marker for predicting adverse outcomes in many cardiac disease states, but the prognostic value in the general population has not been studied conclusively., Objectives: The goal of this study was to assess the independent prognostic value of CMR feature tracking (FT)-derived LV global longitudinal (GLS), circumferential (GCS), and radial strain (GRS) metrics in predicting adverse outcomes (heart failure, myocardial infarction, stroke, and death)., Methods: Participants from the UK Biobank population imaging study were included. Univariable and multivariable Cox models were used for each outcome and each strain marker (GLS, GCS, GRS) separately. The multivariable models were tested with adjustment for prognostically important clinical features and conventional global LV imaging markers relevant for each outcome., Results: Overall, 45,700 participants were included in the study (average age 65 ± 8 years), with a median follow-up period of 3 years. All univariable and multivariable models demonstrated that lower absolute GLS, GCS, and GRS were associated with increased incidence of heart failure, myocardial infarction, stroke, and death. All strain markers were independent predictors (incrementally above some respective conventional LV imaging markers) for the morbidity outcomes, but only GLS predicted death independently: (HR: 1.18; 95% CI: 1.07-1.30)., Conclusions: In the general population, LV strain metrics derived using CMR-FT in radial, circumferential, and longitudinal directions are strongly and independently predictive of heart failure, myocardial infarction, and stroke, but only GLS is independently predictive of death in an adult population cohort., Competing Interests: Funding Support and Author Disclosures This work acknowledges the support of the National Institute for Health and Care Research Barts Biomedical Research Centre (NIHR203330); a delivery partnership of Barts Health NHS Trust, Queen Mary University of London, St George’s University Hospitals NHS Foundation Trust and St George’s University of London. Barts Charity (G-002346) contributed to fees required to access UK Biobank data [access application #2964]. This paper is supported by the London Medical Imaging and Artificial Intelligence Centre for Value Based Healthcare (AI4VBH), which is funded from the Data to Early Diagnosis and Precision Medicine strand of the government’s Industrial Strategy Challenge Fund, managed and delivered by Innovate UK on behalf of UK Research and Innovation (UKRI). Views expressed are those of the authors and not necessarily those of the AI4VBH Consortium members, the NHS, Innovate UK, or UKRI. The funders did not have any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. Dr Petersen acknowledges the British Heart Foundation for funding the manual analysis to create a cardiovascular magnetic resonance imaging reference standard for the UK Biobank imaging resource in 5,000 CMR scans (PG/14/89/31194). Dr Aung acknowledges the Medical Research Council for supporting his Clinician Scientist Fellowship (MR/X020924/1). Dr Chadalavada was funded by European Union's Horizon 2020 research and innovation program under grant agreement no. 825903 (euCanSHare project). Dr Rauseo is supported by the mini-Centre for Doctoral Training (CDT) award through the Faculty of Science and Engineering, Queen Mary University of London, United Kingdom. Dr Naderi was supported by the British Heart Foundation Pat Merriman Clinical Research Training Fellowship (FS/20/22/34640). Dr Petersen and Dr Lee acknowledge support from the SmartHeart EPSRC program grant (EP/P001009/1) and the European Union's Horizon 2020 research and innovation program under grant agreement No 825903 (euCanSHare project). Dr Petersen has served as a consultant for Cardiovascular Imaging Inc, Calgary, Alberta, Canada. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: As of 2021, more than 6000 children and youth in Canada were living with end-stage kidney disease (ESKD), for which kidney transplantation is considered the preferred treatment by health professionals. Research shows that living donor kidney transplantation (LDKT) has superior allograft and recipient survival compared to deceased donor kidney transplantation (DDKT). However, in a pediatric setting, the choice of LDKT or DDKT is a summative consideration of factors weighed carefully by the patient's family, health care team, and patient. Decision-making surrounding transplantation may be more complex for racial and ethnic minorities as culturally specific values and beliefs are interwoven within dominant understandings and concepts of health and accepted models of health care. For example, Chinese Canadians have an increased risk of ESKD, yet reduced access to LDKT compared to White patients, despite being the largest visible minority population in Canada., Objective: The objective of this qualitative study is to deepen our understandings of the decision-making process surrounding DDKT versus LDKT among parents of Chinese Canadian pediatric patients with chronic kidney disease (CKD)., Design: Qualitative descriptive study design., Setting: The Nephrology Program at The Hospital for Sick Children in Toronto, Canada., Participants: Caregivers of Chinese Canadian patients with CKD, 18 years of age or older, and who spoke English, Cantonese, or Mandarin., Methods: One-on-one, semistructured interviews were conducted virtually, by a member of the research team and were audio-recorded and transcribed verbatim. Thematic analysis was used to explore participants' shared experience., Results: Seven interviews were conducted with 6 mothers and 1 father of 6 Chinese Canadian pediatric patients with CKD: 4 patients had undergone a kidney transplant, and 2 were not yet listed for transplant. Analysis of data highlighted that cultural influences affected whether parents shared with others about their child's illness and experience. The cultural understanding that it is inappropriate to burden others contributed to the creation of an isolating experience for participants. Cultural influences also impacted whether parents asked others to be a living donor as participants articulated this would place a physical burden on the living donor (e.g., potential risk to their health) and an emotional burden on the participant as they would be indebted to a willing donor. Ultimately, parents' decision to choose DDKT or LDKT for their patient-child was a result of evaluating both options carefully and within an understanding that the ideal treatment choice reflected what was best for all family members., Limitations: Findings reflect experiences of a small sample from a single recruitment site which may limit transferability., Conclusions: Parents in this study felt that they had access to the necessary evidence-based information to make an informed decision about the choice of DDKT versus LDKT for their child. Participant narratives described feeling isolated within cultural communities of family and friends and participants' suggestion of benefiting from increased support may guide future research directions. Practitioners can offer direct and indirect support to families, with recognition of the importance of cultural values and family-centered care on decision-making within families. Opportunities are needed for accessible, virtual social support platforms to increase parental feelings of culturally mediated peer support from parents who share similar experiences., Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2024.)

Background: Evidence shows that there is a high prevalence of mental health challenges including depression and anxiety, among Chinese university students. Providing mental health care providers with professional training is crucial to implementing effective mental health promotion initiatives in university settings. Globally, the focus of the mental health system is shifting to recovery and the importance of empowerment is increasingly being emphasized. There is a call to integrate empowerment education into professional training programs for health service providers with the goal of mobilizing them to become mental health champions capable of advancing mental health care., Method: The ACE-LYNX (Acceptance and Commitment to Empowerment-Linking Youth and Xin i.e., "heart(s)" in Chinese) intervention took place at six universities in Jinan, Shandong Province, China. It aimed to promote mental health literacy and build capacity among mental health service providers (MHSPs) to enable them to become mental health champions at their universities and beyond. A total of 139 university MHSPs participated. We collected pre-, immediate post- and three-month-post-surveys. In addition, we recruited forty-five participants to take part in three-month- post-intervention focus group interviews to explore their experiences taking part in ACE-LYNX and applying the knowledge, skills, and insights they gained from the intervention., Result: This paper reports on the effects of empowerment education, which is a key component of ACE-LYNX, on the MHSPs. Four themes were identified: 1) conscious awareness and behavioral change through psychological empowerment users; 2) professional insights and motivation for organizational empowerment; 3) non-self in the continuum of collective empowerment; and 4) interdisciplinary challenges and divergences in empowerment action., Discussion: We found that it is critical to integrate empowerment education into professional training. The process of MHSPs developing their empowerment practice is characterized by their moving from individual to collective empowerment along a continuum, with organizational and collective empowerment taking place in a longer time frame. Experiential learning, empathy education, and critical reflection accelerated the continuous iterative transformative process of empowerment practices. To advance the integration of empowerment into mental health care, the engagement of organizational decision-makers and policy makers in empowerment training is critical to ensure alignment of empowerment values and competence at all levels of service provision., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Wang, Gao, Hao, Tsang, Wong, Fung, Li, Jia and Cheng.)

Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Due to cultural and systemic factors, Chinese-Canadians tend to use mental health services less or when mental health problems are more severe. Services need to be more culturally responsive in their treatment of mental illness. Around important life events, when there may be heightened vulnerability to mental illness, this is especially important. In this study, postpartum cultural practices were examined among recent immigrant, longer-term immigrant, and Canadian-born Chinese women. We conducted a longitudinal cohort study of 493 women in Toronto, Ontario, with livebirths in 2011-2014. Participants completed a demographic survey and Postpartum Rituals Questionnaire. Most women (82.2%) practiced at least one postpartum ritual. Younger age (OR 0.93; 95% CI 0.87-0.99) and greater participation in the heritage culture (OR 1.28; 95% CI 1.02-1.61) were associated with ritual practice. From among five types of postpartum rituals identified (i.e., avoidance of homeostatic disturbances, dietary practices, wind avoidance, organized support, and cold avoidance), dietary practices were most commonly undertaken and cold avoidance was least commonly undertaken. There were differences in postpartum ritual patterns by immigration status, with immigrant women being more likely to undertake a greater number of rituals, to attribute these rituals to Chinese culture, and to ascribe health benefits to these rituals and being less likely to feel forced into performing these rituals. Our findings underscore the importance of clinicians becoming more aware of Chinese postpartum rituals to provide women with culturally competent and patient-centered care., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Lay Abstract: Parents of autistic children commonly experience difficulties with their own mental health. This study looked at the effects of a brief group-based Acceptance and Commitment Therapy program, developed for parents of autistic children, youth, and adults. ACT focuses on increasing psychological flexibility, which is the ability to be mindful and accepting of difficult thoughts and experiences, shown to be important for mental wellness. Participants included 54 parents of autistic people, ages 3-34. Parents were randomly divided into two groups: a Treatment group that received the intervention right away, and a Waitlist group that completed the program after the Treatment group completed the trial. All parents filled out questionnaires right before the program began, and at 3, 7, and 17 weeks after randomization. Compared to the group that was waiting to participate in the program, parents in the Treatment group reported greater improvements in depression and family distress, and these improvements were still present 4 months later. Parents in the Treatment group also reported short-term improvements in their positive feelings and personal goals, compared to those waiting. Results showed that ACT may help improve some aspects of mental health for parents of autistic children, but further research is recommended., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background and Aim: Opportunities to participate in leadership and management with protected time can be limited for clinical trainees. The aim of this fellowship was to gain experience of gold standard healthcare management by becoming part of multidisciplinary teams working to deliver transformational change in the National Health Service (NHS)., Methods: A 6-month pilot fellowship, structured as an Out of Programme Experience was created for two registrars to be seconded to the healthcare division of Deloitte, a leading professional services firm. Competitive selection was jointly administered by the Director of Medical Education at St Bartholomew's Hospital and Deloitte., Results: The successful candidates worked on service-led and digital transformation projects, interfacing with senior NHS executives and directors. Trainees gained direct experience and understanding of high-level decision making in the NHS, tackling complex service delivery problems and the practical realities of delivering change within a constrained budget. One impact of this pilot has been completion of a business case to scale up the fellowship into an established programme that can allow other trainees to apply., Conclusion: This innovative fellowship has allowed interested trainees an opportunity to broaden the relevant skills and experience in leadership and management required in specialty training curriculum with real-life application in the NHS., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Mental health literacy (MHL) is essential to mental health. Symptoms of depression and anxiety are significant antecedents and closely related to suicide among college students. Few studies have explored the mediating role of depressive and anxiety symptoms between MHL and suicidal ideation., Methods: 5578 college students were included in the analysis. The online Wenjuanxing platform was used to collect data from November 2020 to March 2021. The bootstrapping method was used to test the mediating role of depressive and anxiety symptoms in the links between MHL and suicidal ideation., Results: Approximately 18.8 % of Chinese college students in our study reported having suicidal ideation. MHL exhibited a significant and negative correlation with depressive symptoms, anxiety symptoms, and suicidal ideation, whereas depressive and anxiety symptoms correlated significantly and positively with suicidal ideation. Compared with the lowest MHL quartile, the 3rd and 4th quartiles of MHL were associated with a significantly lower risk of suicidal ideation after adjusting for various confounding factors. Depressive and anxiety symptoms partially mediated the relationship between MHL and suicidal ideation, and the mediating effect of depressive symptoms was significantly greater than that of anxiety symptoms., Limitations: This study was a cross-sectional survey. Future longitudinal studies on this relation are needed., Conclusions: Depressive and anxiety symptoms mediate the relationship between MHL and suicidal ideation. Comprehensive school-based specific psychological education programs are needed to improve college students' MHL and change their attitudes toward mental health services., Competing Interests: Declaration of competing interest The authors have declared that no competing interests exist., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Aims: Heart failure (HF) is a major health problem and early diagnosis is important. Atherosclerosis is the main cause of HF and carotid intima-media thickness (IMT) is a recognized early measure of atherosclerosis. This study aimed to investigate whether increased carotid IMT is associated with changes in cardiac structure and function in middle-aged participants of the UK Biobank Study without overt cardiovascular disease., Methods and Results: Participants of the UK Biobank who underwent CMR and carotid ultrasound examinations were included in this study. Patients with heart failure, angina, atrial fibrillation, and history of myocardial infarction or stroke were excluded. We used multivariable linear regression models adjusted for age, sex, physical activity, body mass index, body surface area, hypertension, diabetes, smoking, ethnicity, socioeconomic status, alcohol intake, and laboratory parameters. In total, 4301 individuals (61.6 ± 7.5 years, 45.9% male) were included. Multivariable linear regression analyses showed that increasing quartiles of IMT was associated with increased left and right ventricular (LV and RV) and left atrial volumes and greater LV mass. Moreover, increased IMT was related to lower LV end-systolic circumferential strain, torsion, and both left and right atrial ejection fractions (all P < 0.05)., Conclusion: Increased IMT showed an independent association over traditional risk factors with enlargement of all four cardiac chambers, decreased function in both atria, greater LV mass, and subclinical LV dysfunction. There may be additional risk stratification that can be derived from the IMT to identify those most likely to have early cardiac structural/functional changes., Competing Interests: Conflict of interest: S.E.P. provides consultancy to Cardiovascular Imaging Inc., Calgary, AB, Canada. The remaining authors have no disclosures., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Psychiatry has increasingly adopted explanations for psychopathology that are based on neurobiological reductionism. With the recognition of health disparities and the realisation that someone's postcode can be a better predictor of health outcomes than their genetic code, there are increasing efforts to ensure cultural and social-structural competence in psychiatric practice. Although neuroscientific and social-cultural approaches in psychiatry remain largely separate, they can be brought together in a multilevel explanatory framework to advance psychiatric theory, research, and practice. In this Personal View, we outline how a cultural-ecosocial systems approach to integrating neuroscience in psychiatry can promote social-contextual and systemic thinking for more clinically useful formulations and person-centred care., Competing Interests: Declaration of interests AG-C was supported by an Ittelson Fellowship from the Group for the Advancement of Psychiatry and a Banting Fellowship from the Canadian Institutes of Health Research. LJK received support from the McGill Canada First Research Excellence Fund Healthy Brains for Healthy Lives Program through a grant towards a Canadian Framework for Brain Health (3c-KM-61). All other authors declare no competing interests., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

The purpose of this study was to verify the mediating role of depressive symptoms between excessive daytime sleepiness and suicidal ideation in college students. Of the 6944 participants, 2609 (37.6%) were male and 4335 (62.4%) were female. College students with excessive daytime sleepiness (p < 0.001) and those with depressive symptoms (p < 0.001) were more likely to have suicidal ideation. Moreover, both excessive daytime sleepiness (β = 0.14, 95% CI: 1.01−1.32) and depressive symptoms (β = 1.47, 95% CI: 3.80−5.00) were associated with suicidal ideation. The effect size of the mediating role of depressive symptoms in excessive daytime sleepiness to suicidal ideation was 50.41% for the entire sample, 58.33% for males, and 42.98% for females. Depressive symptoms partially mediated the relationship between excessive daytime sleepiness and suicidal ideation. The timely assessment of depressive symptoms in college students with excessive daytime sleepiness, and intervention, may reduce their risk of suicidal ideation.

Background: Mitral annular disjunction is the atrial displacement of the mural mitral valve leaflet hinge point within the atrioventricular junction. Said to be associated with malignant ventricular arrhythmias and sudden death, its prevalence in the general population is not known., Objectives: The purpose of this study was to assess the frequency of occurrence and extent of mitral annular disjunction in a large population cohort., Methods: The authors assessed the cardiac magnetic resonance (CMR) images in 2,646 Caucasian subjects enrolled in the UK Biobank imaging study, measuring the length of disjunction at 4 points around the mitral annulus, assessing for presence of prolapse or billowing of the leaflets, and for curling motion of the inferolateral left ventricular wall., Results: From 2,607 included participants, the authors found disjunction in 1,990 (76%) cases, most commonly at the anterior and inferior ventricular wall. The authors found inferolateral disjunction, reported as clinically important, in 134 (5%) cases. Prolapse was more frequent in subjects with disjunction (odds ratio [OR]: 2.5; P = 0.02), with positive associations found between systolic curling and disjunction at any site (OR: 3.6; P < 0.01), and systolic curling and prolapse (OR: 71.9; P < 0.01)., Conclusions: This large-scale study shows that disjunction is a common finding when using CMR. Disjunction at the inferolateral ventricular wall, however, was rare. The authors found associations between disjunction and both prolapse and billowing of the mural mitral valve leaflet. These findings support the notion that only extensive inferolateral disjunction, when found, warrants consideration of further investigation, but disjunction elsewhere in the annulus should be considered a normal finding., Competing Interests: Funding Support and Author Disclosures This work was partly funded by the European Union’s Horizon 2020 research and innovation program under grant agreement number 825903 (euCanSHare project, Dr Petersen). Dr Petersen acknowledges support from the National Institute for Health Research (NIHR) Biomedical Research Centre at Barts, London, United Kingdom. Drs Petersen, Neubauer, and Piechnik acknowledge the British Heart Foundation, London, United Kingdom, for funding the manual analysis to create a cardiovascular magnetic resonance imaging reference standard for the UK Biobank imaging resource in 5000 CMR scans (PG/14/89/31194). This project was enabled through access to the Medical Research Council eMedLab Medical Bioinformatics infrastructure, supported by the Medical Research Council (MR/L016311/1). Dr Zugwitz acknowledges funding received from the European Society of Cardiology, Sophia Antipolis Cedex, France, in the form of an European Society of Cardiology Training Grant. Dr Neubauer acknowledges support from the Oxford NIHR Biomedical Research Centre and the Oxford British Heart Foundation Centre of Research Excellence. Dr Aung recognizes the NIHR Integrated Academic Training program, which supports his Academic Clinical Lectureship post. Drs McCracken and Neubauer are supported by the Oxford NIHR Biomedical Research Centre. Drs Petersen and Rauseo acknowledge support by the London Medical Imaging and Artificial Intelligence Centre for Value Based Healthcare (AI4VBH), which is funded from the Data to Early Diagnosis and Precision Medicine strand of the government’s Industrial Strategy Challenge Fund, managed and delivered by Innovate UK on behalf of United Kingdom Research and Innovation (UKRI). Dr Nijveldt has received research grants from Philips Volcano and Biotronik. Dr Petersen provides consultancy to Circle Cardiovascular Imaging, Inc. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

Psychological distress and mental illness have become increasingly pervasive among Chinese university students. However, many university students who need mental health treatment or psychological support do not actively seek help from professional counselors or service providers, which could lead to poor mental health outcomes. To promote help-seeking, we undertook a qualitative study to understand Chinese university students' perspectives on help-seeking and mental health counseling. We conducted 13 focus group interviews with students in six universities in Jinan, China, and altogether 91 (62%) female students, and 56 (38%) male students participated in the study. Our results indicate that students' misconception and distrust of on-campus counseling, stigma of mental illness, low mental health literacy, and hard-to-access mental health services are the major barriers that impede students help-seeking behaviors. Internal struggles and systematic and organizational barriers are identified to shed light on future work to promote mental health literacy among Chinese university students.

Right ventricular (RV) structure and function influence the morbidity and mortality from coronary artery disease (CAD), dilated cardiomyopathy (DCM), pulmonary hypertension and heart failure. Little is known about the genetic basis of RV measurements. Here we perform genome-wide association analyses of four clinically relevant RV phenotypes (RV end-diastolic volume, RV end-systolic volume, RV stroke volume, RV ejection fraction) from cardiovascular magnetic resonance images, using a state-of-the-art deep learning algorithm in 29,506 UK Biobank participants. We identify 25 unique loci associated with at least one RV phenotype at P < 2.27 ×10 -8 , 17 of which are validated in a combined meta-analysis (n = 41,830). Several candidate genes overlap with Mendelian cardiomyopathy genes and are involved in cardiac muscle contraction and cellular adhesion. The RV polygenic risk scores (PRSs) are associated with DCM and CAD. The findings substantially advance our understanding of the genetic underpinning of RV measurements., (© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.)

Objective: Although there is evidence of effective stigma reduction by various psychological and educational interventions, the mechanisms of change remain unclear. In this article, we examine hypothesized processes that might have mediated reductions in stigma observed among Asian men who had received in mental health promotion interventions in Greater Toronto Area, Canada., Method: Our sample consisted of 495 Asian men, who received either acceptance and commitment therapy (ACT; n = 133), contact-based empowerment education (CEE; n = 149), combination of ACT and CEE ( n = 152), or psychoeducation ( n = 61). Group differences on intervention outcomes, including stigmatizing attitudes (Community Attitudes toward the Mentally Ill), internalized stigma (Internalized Stigma of Mental Illness), valued living (Valued Living Questionnaire), and attitudes to engage in social change (Social Justice Scale) were hypothesized to be due to the impact of the different interventions and mediated by changes in specific underlying psychological processes. These process-related changes were modelled using measures of mindfulness (Freiburg Mindfulness Inventory), psychological flexibility (Acceptance and Action Questionnaire version II), and empowerment (Empowerment Scale [ES]). Their pre- and post changes were analyzed with repeated measures analysis of variance, and mediational analyses were performed., Results: Findings from mediational analyses suggest that empowerment (ES) mediated a significant portion of the effects observed in reduction in stigmatizing attitudes and internalized stigma across intervention groups ( t = 3.67 to 3.78 for CEE groups, and t = 4.32 to 4.56 for ACT groups). For the ACT groups, reduction in internalized stigma might also have been partly mediated by psychological flexibility, an intervention-specific psychological process., Conclusions: Results from the current study suggest that different stigma reduction interventions may be mediated by increased empowerment as a common mechanism of change, while intervention-specific mechanism of change, improved psychological flexibility through ACT, may also contribute to improvement in internalized stigma.

Aims: To study the association of daily coffee consumption with all-cause and cardiovascular (CV) mortality and major CV outcomes. In a subgroup of participants who underwent cardiovascular magnetic resonance (CMR) imaging, we evaluated the association between regular coffee intake and cardiac structure and function., Methods and Results: UK Biobank participants without clinically manifested heart disease at the time of recruitment were included. Regular coffee intake was categorized into three groups: zero, light-to-moderate (0.5-3 cups/day), and high (>3 cups/day). In the multivariate analysis, we adjusted for the main CV risk factors. We included 468 629 individuals (56.2 ± 8.1 years, 44.2% male), of whom 22.1% did not consume coffee regularly, 58.4% had 0.5-3 cups per day, and 19.5% had >3 cups per day. Compared to non-coffee drinkers, light-to-moderate (0.5-3 cups per day) coffee drinking was associated with lower risk of all-cause mortality [multivariate hazard ratio (HR) = 0.88, 95% confidence interval (CI): 0.83-0.92; P < 0.001] and CV mortality (multivariate HR = 0.83, 95% CI: 0.74-0.94; P = 0.006), and incident stroke (multivariate HR = 0.79, 95% CI: 0.63-0.99 P = 0.037) after a median follow-up of 11 years. CMR data were available in 30 650 participants. Both light-to-moderate and high coffee consuming categories were associated with dose-dependent increased left and right ventricular end-diastolic, end-systolic and stroke volumes, and greater left ventricular mass., Conclusion: Coffee consumption of up to three cups per day was associated with favourable CV outcomes. Regular coffee consumption was also associated with a likely healthy pattern of CMR metrics in keeping with the reverse of age-related cardiac alterations., (© The Author(s) 2022. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Background: Since the pandemic, more Canadians have reported poorer mental health. A vital group experiencing a high level of stressors consists of health care providers (HCPs) caring for COVID-19 patients, carrying out public health responses, or working with vulnerable populations. The mental health of HCPs is negatively affected by the pandemic, not only at work but also at home and in the community. Intersecting stressors at multiple levels contribute to HCPs' experiences of fatigue, insomnia, anxiety, depression, and posttraumatic stress symptoms., Objective: The aim of this qualitative study was to explore the pandemic stressors experienced by HCPs at work, at home, and in the community before participating in the Pandemic Acceptance and Commitment to Empowerment Response (PACER) online intervention., Methods: Informed by a social ecological approach, we used a qualitative reflective approach to engage 74 HCPs in diverse roles. Data were collected during the first 2 waves of the COVID-19 pandemic (June 2020 to February 2021) in Canada., Results: Informed by a social ecological framework, 5 overarching themes were identified in our thematic analysis: (1) personal level stressors that highlight HCPs' identities and responsibilities beyond the workplace; (2) interpersonal level stressors from disrupted social relationships; (3) organizational stressors that contributed to unsettled workplaces and moral distress; (4) community and societal stressors attributed to vicarious trauma and emotional labor; and (5) the multilevel and cumulative impacts of COVID-19 stressors on HCPs' health., Conclusions: COVID-19 is not merely a communicable disease but also a social and political phenomenon that intensifies the effects of social inequities. Current understanding of pandemic stressors affecting HCPs is largely partial in nature. Although workplace stressors of HCPs are real and intense, they need to be explored and understood in the context of stressors that exist in other domains of HCPs' lives such as family and community to ensure these experiences are not being silenced by the "hero" discourses or overshadowed by professional demands., (©Christa Sato, Anita Adumattah, Maria Krisel Abulencia, Peter Dennis Garcellano, Alan Tai-Wai Li, Kenneth Fung, Maurice Kwong-Lai Poon, Mandana Vahabi, Josephine Pui-Hing Wong. Originally published in JMIR Formative Research (https://formative.jmir.org), 22.03.2022.)

Background: The quantitative measures used to assess the performance of automated methods often do not reflect the clinical acceptability of contouring. A quality-based assessment of automated cardiac magnetic resonance (CMR) segmentation more relevant to clinical practice is therefore needed., Objective: We propose a new method for assessing the quality of machine learning (ML) outputs. We evaluate the clinical utility of the proposed method as it is employed to systematically analyse the quality of an automated contouring algorithm., Methods: A dataset of short-axis (SAX) cine CMR images from a clinically heterogeneous population ( n = 217) were manually contoured by a team of experienced investigators. On the same images we derived automated contours using a ML algorithm. A contour quality scoring application randomly presented manual and automated contours to four blinded clinicians, who were asked to assign a quality score from a predefined rubric. Firstly, we analyzed the distribution of quality scores between the two contouring methods across all clinicians. Secondly, we analyzed the interobserver reliability between the raters. Finally, we examined whether there was a variation in scores based on the type of contour, SAX slice level, and underlying disease., Results: The overall distribution of scores between the two methods was significantly different, with automated contours scoring better than the manual (OR (95% CI) = 1.17 (1.07-1.28), p = 0.001; n = 9401). There was substantial scoring agreement between raters for each contouring method independently, albeit it was significantly better for automated segmentation (automated: AC2 = 0.940, 95% CI, 0.937-0.943 vs manual: AC2 = 0.934, 95% CI, 0.931-0.937; p = 0.006). Next, the analysis of quality scores based on different factors was performed. Our approach helped identify trends patterns of lower segmentation quality as observed for left ventricle epicardial and basal contours with both methods. Similarly, significant differences in quality between the two methods were also found in dilated cardiomyopathy and hypertension., Conclusions: Our results confirm the ability of our systematic scoring analysis to determine the clinical acceptability of automated contours. This approach focused on the contours' clinical utility could ultimately improve clinicians' confidence in artificial intelligence and its acceptability in the clinical workflow., Competing Interests: SEP provides consultancy to and owns stock of Cardiovascular Imaging Inc, Calgary, Alberta, Canada. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Rauseo, Omer, Amir-Khalili, Sojoudi, Le, Cook, Hausenloy, Ang, Toh, Bryant, Chin, Paiva, Fung, Cooper, Khanji, Aung and Petersen.)

Background: Temporary migrant live-in caregivers constitute a vulnerable stream of temporary foreign workers in Canada. This is because the majority are racialized women from the Global South, the gendered nature of caregiving work has historically been undervalued, and their working and living spheres are intertwined which makes application of labor laws and surveillance almost impossible. Their invisible position in the fabric of Canadian society along with their precarious employment and immigration status place their mental health at jeopardy. There is a paucity of research about psychological support for this population., Objective: Our pilot study Women Empowerment-Caregiver Acceptance and Resilience E-Learning (WE2CARE) aimed to assess the efficacy of a 6-week online delivery of a psychological intervention based on acceptance and commitment therapy (ACT) in reducing psychological distress and promoting resiliency among live-in care givers in the Greater Toronto Area., Methods: A pilot randomized wait list controlled design was used. Participants were recruited by two community peer champions working with community health organizations serving migrant live-in caregivers. A total of 36 participants were recruited and randomly assigned to the intervention and wait list control groups; 7 dropped out of the study due to competing life priorities. Standardized self-reported surveys were administered online pre-, post-, and 6-week postintervention to assess mental distress (DASS-21), psychological flexibility (AAQ-2), mindfulness (CAMS-R), and Multi-System Model of Resilience (MSMR-I). Independent and dependent t tests were used to compare study outcomes at pre, post, and 6-week follow-up across and within both arms of the study. Linear mixed effects models were created for each outcome of interest from baseline to postintervention among intervention and control participants. Self-reported impact of the WE2CARE intervention was examined using independent t tests across the study arms., Results: Average age of participants was 38 years. Many were born in the Philippines (23/29, 79%). The data on the impact of the psychological intervention showed a lower level of depression, anxiety, and stress among the intervention group compared with the control. However, the differences were not significant due to small sample size and COVID-19 crisis (6.94 vs 9.50, P=.54; 6.94 vs 10.83, P=.20; 7.76 vs 10.33, P=.44, respectively). There was a significant improvement in mindful qualities and external resilience, particularly in life satisfaction and accessible support among the intervention group (37.18 vs 32.92, t 22 =2.35, P=.03; 20.29 vs 16.5, t 21 =2.98, P=.007; 8.47 vs 6.75, t 14 =2.41, P=.03; 7.59 vs 5.33, t 16 =.008, respectively)., Conclusions: WE2CARE is among the first studies exploring the efficacy of online delivery of ACT in addressing mental health challenges among live-in caregivers. While there are increased web-based ACT interventions, few use group videoconferencing to promote peer connection and mutual support. WE2CARE showed promising results in reducing psychological distress and promoting mindfulness and resiliency. The intervention highly motivated participants to engage collectively in building social support networks., International Registered Report Identifier (irrid): RR2-10.2196/preprints.31211., (©Mandana Vahabi, Josephine Pui-Hing Wong, Masoomeh Moosapoor, Abdolreza Akbarian, Kenneth Fung. Originally published in JMIR Formative Research (https://formative.jmir.org), 27.01.2022.)

From existing empirical research, we identified that Chinese college students commonly experience stigma surrounding mental illness and found some factors that support them in resisting the stigma and achieving psychological health. However, less research provides qualitative data involving individual experiences and insights on mental illness within this group of college students. This study, based on Linking Hearts (an internationally cooperative research-sharing project between China and Canada), was conducted in Shandong, Jinan, and aims to promote the mental health of college students by empowering interdisciplinary professionals and students. Through the research project, this study analyzed the materials from 24 focus groups, explored the understanding of mental illness and prevalence of mental illness stigma in Chinese colleges at the present time, administered a background questionnaire, and provided statistical support for some revealed themes. The final themes are as follows: mental illness is stereotyped as "severe, pathetic, and complicated"; the misconception of "visiting a psychological counselor is scary"; from public stigma to self-stigma; barriers deterring students from seeking help or accessing services; two sides of the same coin: peer support versus peer pressure.

Background: Stigma of mental illness contributes to silence, denial and delayed help seeking. Existing stigma reduction strategies seldom consider gender and cultural contexts., Purpose: The Strengths in Unity study was a multi-site Canadian study that engaged Asian men in three stigma reduction interventions (ACT, CEE, psychoeducation) and mobilized them as Community Mental Health Ambassadors. Our participants included both men living with or affected by mental illness (LWA) as well as community leaders (CL). This paper will: (1) describe the baseline characteristics of the Toronto participants including their sociodemographic information, mental illness stigma (CAMI and ISMI), attitudes towards social change (SJS), and intervention-related process variables (AAQ-II, VLQ, FMI, Empowerment); (2) compare the differences among these variables between LWA and CL; and (3) explore factors that may correlate with socio-economic status and mental health stigma., Results: A total of 609 Asian men were recruited in Toronto, Canada. Both CL and LWA had similar scores on measures of external and internalized stigma and social change attitudes, except that LWA had more positive views about the acceptance and integration of those with mental illness into the community on the CAMI, while CL had a higher level of perceived behavioral control on the SJS. Group differences were also observed between LWA and CL in some process-related variables. Exploratory analysis suggests that younger and more educated participants had lower stigma., Conclusion: Our findings underscore the importance of engaging both community leaders and people with lived experience as mental health advocates to address stigma.

Background: During a global pandemic, it is critical to rapidly deploy a psychological intervention to support the mental health and resilience of highly affected individuals and communities., Objective: This is the rationale behind the development and implementation of the Pandemic Acceptance and Commitment to Empowerment Response (PACER) Training, an online, blended, skills building intervention to increase the resilience and well-being of participants while promoting their individual and collective empowerment and capacity building., Methods: Based on acceptance and commitment therapy (ACT) and social justice-based group empowerment psychoeducation (GEP), we developed the Acceptance and Commitment to Empowerment (ACE) model to enhance psychological resilience and collective empowerment. The PACER program consists of 6 online, interactive, self-guided modules complemented by 6 weekly, 90-minute, videoconference, facilitator-led, group sessions., Results: As of August 2021, a total of 325 participants had enrolled in the PACER program. Participants include frontline health care providers and Chinese-Canadian community members., Conclusions: The PACER program is an innovative intervention program with the potential for increasing resilience and empowerment while reducing mental distress during the pandemic., International Registered Report Identifier (irrid): DERR1-10.2196/33495., (©Kenneth Fung, Jenny JW Liu, Mandana Vahabi, Alan Tai-Wai Li, Mateusz Zurowski, Josephine Pui-Hing Wong. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 06.12.2021.)

Background: Psychological distress, isolation, feelings of powerlessness, and limited social support are realities faced by temporary migrant live-in caregivers in Canada. Furthermore, they experience multiple barriers in accessing mental health services due to their long work hours, limited knowledge of health resources, precarious employment, and immigration status., Objective: The Women Empowerment - Caregiver Acceptance & Resilience E-Learning (WE2CARE) project is a pilot intervention research project that aims to promote the mental well-being and resiliency of migrant live-in caregivers. The objectives include exploring the effectiveness of this program in achieving the following: (1) reducing psychological distress (depression, anxiety, and stress); (2) promoting committed actions of self-care; and (3) building mutual support social networks. Further, participants' satisfaction with the intervention and their perceived barriers to and facilitators of practicing the self-care strategies embedded in WE2CARE will be examined., Methods: A total of 36 live-in caregivers residing in the Greater Toronto Area will be recruited and randomly assigned to either the intervention or waitlist control group. The intervention group will receive a 6-week web-based psychosocial intervention that will be based on Acceptance and Commitment Therapy (ACT). Standardized self-reported surveys will be administered online preintervention, postintervention, and at 6 weeks postintervention to assess mental distress (Depression, Anxiety and Stress Scale), psychological flexibility (Acceptance and Action Questionnaire), mindfulness (Cognitive and Affective Mindfulness Scale - Revised), and resilience (Multi-System Model of Resilience Inventory). In addition, two focus groups will be held with a subset of participants to explore their feedback on the utility of the WE2CARE program., Results: WE2CARE was funded in January 2019 for a year. The protocol was approved by the research ethics boards of Ryerson University (REB 2019-036) and the University of Toronto (RIS37623) in February and May 2019, respectively. Data collection started upon ethics approval and was completed by May 2020. A total of 29 caregivers completed the study and 20 participated in the focus groups. Data analyses are in progress and results will be published in 2021., Conclusions: WE2CARE could be a promising approach to reducing stress, promoting resilience, and providing a virtual space for peer emotional support and collaborative learning among socially isolated and marginalized women. The results of this pilot study will inform the adaptation of an ACT-based psychological intervention for online delivery and determine its utility in promoting mental health among disadvantaged and vulnerable populations., International Registered Report Identifier (irrid): DERR1-10.2196/31211., (©Kenneth Po-Lun Fung, Mandana Vahabi, Masoomeh Moosapoor, Abdolreza Akbarian, Jenny Jing-Wen Liu, Josephine Pui-Hing Wong. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 13.09.2021.)

Background: Rapid urbanization, academic pressures, and developmental life transition stressors contribute to mental health stress for postsecondary students in China. Effective prevention, early identification, and timely intervention are challenged by stigma, a lack of mental health literacy, and inadequate mental health resources., Objective: Our implementation science (IS) research project is aimed at evaluating the use of an evidence-informed mental health promotion intervention named Acceptance and Commitment to Empowerment - Linking Youth and 'Xin' (hearts) (ACE-LYNX) to promote university student mental health in Jinan, China., Methods: We will engage and collaborate with Shandong Mental Health Center, the provincial mental health center, and six local universities in different regions of Jinan. The ACE-LYNX intervention aims to reduce social stigma against mental illness, enhance mental health literacy, and improve access to quality mental health care by increasing interdisciplinary collaboration and forming a mental health network. It is based on two evidence-based approaches, Acceptance and Commitment Therapy (ACT) and Group Empowerment Psychoeducation (GEP), and it will be delivered through online learning and in-person group training. The project will train 90 interdisciplinary professionals using the model. They will in turn train 15 professionals and 20 students at each university. The project will adopt the Reach, Efficacy, Adoption, Implementation, and Maintenance (RE-AIM) framework, which provides a structure to examine the process and outcomes of implementation using mixed methods comprising quantitative and qualitative approaches along five dimensions: reach, efficacy, adoption, implementation, and maintenance., Results: Over the course of the project, 720 champions will be directly trained. They will contribute to developing a formal and informal mental health network, strengthened by student-led mental health initiatives and professional-led initiatives to promote collaborative care and facilitated care pathways. We anticipate that our project will reach out to 11,000 to 18,000 students., Conclusions: This IS protocol will outline our unique intervention model and key steps to contextualize, implement, and evaluate community-based mental health intervention., International Registered Report Identifier (irrid): PRR1-10.2196/25592., (©Kenneth Fung, Sheng-Li Cheng, Xuan Ning, Alan Tai-Wai Li, Jingxuan Zhang, Jenny Jing-Wen Liu, Carla T Hilario, Xiaojing Cheng, Miao Yu, Cun-Xian Jia, Jianguo Gao, Josephine Pui-Hing Wong. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 26.08.2021.)

Providing mediator training using a telecommunication format increases access to training by reducing geographical and financial barriers, while maintaining or increasing efficiency. Limited research has implemented this format to train facilitators in acceptance and commitment training (ACT), an empirically supported intervention. The aim of this research was to examine the efficacy of behavioural skills training via telecommunication for training novice facilitators to provide ACT to caregivers of individuals with neurodevelopmental disabilities. This two-part study involved concurrent multiple-baseline designs, each across 4 participants. Quantitative data on fidelity and confidence were collected at baseline, post-training, and at 1-month follow-up. The results from this study provide preliminary support for the use of behavioural skills training via telecommunication to train ACT facilitators. Increasing the number of competently trained facilitators will help build capacity to increase access to ACT across geographical regions., Supplementary Information: The online version contains supplementary material available at 10.1007/s40617-021-00628-x., Competing Interests: Conflicts of InterestThe authors declare that there are no conflicts of interest relevant to the content of this article., (© Association for Behavior Analysis International 2021, corrected publication 2021.)

Aims: Data regarding the effects of regular alcohol consumption on cardiac anatomy and function are scarce. Therefore, we sought to determine the relationship between regular alcohol intake and cardiac structure and function as evaluated with cardiac magnetic resonance imaging., Methods and Results: Participants of the UK Biobank who underwent cardiac magnetic resonance were enrolled in our analysis. Data regarding regular alcohol consumption were obtained from questionnaires filled in by the study participants. Exclusion criteria were poor image quality, missing, or incongruent data regarding alcohol drinking habits, prior drinking, presence of heart failure or angina, and prior myocardial infarction or stroke. Overall, 4335 participants (61.5 ± 7.5 years, 47.6% male) were analysed. We used multivariate linear regression models adjusted for age, ethnicity, body mass index, smoking, hypertension, diabetes mellitus, physical activity, cholesterol level, and Townsend deprivation index to examine the relationship between regular alcohol intake and cardiac structure and function. In men, alcohol intake was independently associated with marginally increased left ventricular end-diastolic volume [β = 0.14; 95% confidence interval (CI) = 0.05-0.24; P = 0.004], left ventricular stroke volume (β = 0.08; 95% CI = 0.03-0.14; P = 0.005), and right ventricular stroke volume (β = 0.08; 95% CI = 0.02-0.13; P = 0.006). In women, alcohol consumption was associated with increased left atrium volume (β = 0.14; 95% CI = 0.04-0.23; P = 0.006)., Conclusion: Alcohol consumption is independently associated with a marginal increase in left and right ventricular volumes in men, but not in women, whereas alcohol intake showed an association with increased left atrium volume in women. Our results suggest that there is only minimal relationship between regular alcohol consumption and cardiac morphology and function in an asymptomatic middle-aged population., (Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2020. For permissions, please email: journals.permissions@oup.com.)

Background and Objectives: Obstructive sleep apnea (OSA) is a common disorder with an increased risk for left ventricular and right ventricular dysfunction. Most studies to date have examined populations with manifest cardiovascular disease using echocardiography to analyze ventricular dysfunction with little or no reference to ventricular volumes or myocardial mass. Our aim was to explore these parameters with cardiac MRI. We hypothesized that there would be stepwise increase in left ventricular mass and right ventricular volumes from the unaffected, to the snoring and the OSA group. Materials and Methods: We analyzed cardiac MRI data from 4978 UK Biobank participants free from cardiovascular disease. Participants were allocated into three cohorts: with OSA, with self-reported snoring and without OSA or snoring ( n = 118, 1886 and 2477). We analyzed cardiac parameters from balanced cine-SSFP sequences and indexed them to body surface area. Results: Patients with OSA were mostly males (47.3% vs. 79.7%; p < 0.001) with higher body mass index (25.7 ± 4.0 vs. 31.3 ± 5.3 kg/m²; p < 0.001) and higher blood pressure (135 ± 18 vs. 140 ± 17 mmHg; p = 0.012) compared to individuals without OSA or snoring. Regression analysis showed a significant effect for OSA in left ventricular end-diastolic index (LVEDVI) (β = -4.9 ± 2.4 mL/m²; p = 0.040) and right ventricular end-diastolic index (RVEDVI) (β = -6.2 ± 2.6 mL/m²; p = 0.016) in females and for right ventricular ejection fraction (RVEF) (β = 1.7 ± 0.8%; p = 0.031) in males. A significant effect was discovered in snoring females for left ventricular mass index (LVMI) (β = 3.5 ± 0.9 g/m²; p < 0.001) and in males for left ventricular ejection fraction (LVEF) (β = 1.0 ± 0.3%; p = 0.001) and RVEF (β = 1.2 ± 0.3%; p < 0.001). Conclusion: Our study suggests that OSA is highly underdiagnosed and that it is an evolving process with gender specific progression. Females with OSA show significantly lower ventricular volumes while males with snoring show increased ejection fractions which may be an early sign of hypertrophy. Separate prospective studies are needed to further explore the direction of causality.

Background: Chinese students are extremely vulnerable to developing mental illness. The stigma associated with mental illness presents a barrier to seeking help for their mental health., Objective: The Linking Hearts-Linking Youth and 'Xin' (hearts) project is an implementation science project that seeks to reduce mental illness stigma and promote the mental health of university students in Jinan, China. The Linking Hearts project consists of 3 components. In this paper, we outline the protocol for the first component, that is, the contextual assessment and analysis of the mental health needs of university students as the first step to inform the adaptation of an evidence-based intervention to be implemented in Jinan, China., Methods: Six local universities will participate in the Linking Hearts project. A total of 100 students from each university (n=600) will engage in the contextual assessment through self-report surveys on depression, anxiety, stress, mental health knowledge, and mental health stigma. Quantitative data will be analyzed using several descriptive and inferential analyses via SPSS. A small number of participants (144 students and 144 service providers) will also be engaged in focus groups to assess the socio-environmental contexts of university students' health and availability of mental health resources. Qualitative data will be transcribed verbatim and NVivo will be used for data management. Social network analysis will also be performed using EgoNet., Results: Linking Hearts was funded in January 2018 for 5 years. The protocol of Linking Hearts and its 3 components was approved by the research ethics boards of all participating institutions in China in November 2018. Canadian institutions that gave approval were Ryerson University (REB2018-455) in January 2019, University of Alberta (Pro00089364), York University (e2019-162) in May 2019, and University of Toronto (RIS37724) in August 2019. Data collection took place upon ethics approval and was completed in January 2020. A total of 600 students were surveyed. An additional 147 students and 138 service providers took part in focus groups. Data analysis is ongoing. Results will be published in 2021., Conclusions: Findings from this contextual assessment and analysis will generate new knowledge on university students' mental health status, mental health knowledge, and resources available for them. These findings will be used to adapt and refine the Acceptance and Commitment to Empowerment-Linking Youth N' Xin intervention model. The results of this contextual assessment will be used to inform the adaptation and refinement of the mental health intervention to promote the mental health of Chinese university students in Jinan., International Registered Report Identifier (irrid): RR1-10.2196/25009., (©Josephine Pui-Hing Wong, Cun-Xian Jia, Mandana Vahabi, Jenny Jing Wen Liu, Alan Tai-Wai Li, Xiaofeng Cong, Maurice Kwong-Lai Poon, Janet Yamada, Xuan Ning, Jianguo Gao, Shengli Cheng, Guoxiao Sun, Xinting Wang, Kenneth Po-Lun Fung. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 11.05.2021.)

Mental illness stigma has detrimental effects on health and wellbeing. Approaches to address stigma in racialized populations in Western nations need to emphasize inclusivity, social justice, and sociocultural intersectionality of determinants of health. The current paper evaluates three intervention approaches to reduce stigma of mental illness among Asian men in Toronto, Canada. Participants received one of four group interventions: psychoeducation, Acceptance and Commitment Therapy (ACT), Contact-based Empowerment Education (CEE), and a combination of ACT+CEE. Self-report measures on stigma (CAMI, ISMI) and social change (SJS) were administered before and after the intervention. A total of 535 Asian men completed the interventions. Overall analyses found that all intervention approaches were successful in reducing stigma and promoting social change. Subscale differences suggest that CEE may be more broadly effective in reducing mental illness stigmatizing attitudes while ACT may be more specifically effective in reducing internalized stigma. More work needs to be done to elucidate mechanisms that contribute to socioculturally-informed mental illness stigma interventions for racialized communities and traditionally marginalized populations.

Background: Coronavirus disease 2019 (COVID-19) disproportionately affects older people. Observational studies suggest indolent cardiovascular involvement after recovery from acute COVID-19. However, these findings may reflect pre-existing cardiac phenotypes., Aims: We tested the association of baseline cardiovascular magnetic resonance (CMR) phenotypes with incident COVID-19., Methods: We studied UK Biobank participants with CMR imaging and COVID-19 testing. We considered left and right ventricular (LV, RV) volumes, ejection fractions, and stroke volumes, LV mass, LV strain, native T1, aortic distensibility, and arterial stiffness index. COVID-19 test results were obtained from Public Health England. Co-morbidities were ascertained from self-report and hospital episode statistics (HES). Critical care admission and death were from HES and death register records. We investigated the association of each cardiovascular measure with COVID-19 test result in multivariable logistic regression models adjusting for age, sex, ethnicity, deprivation, body mass index, smoking, diabetes, hypertension, high cholesterol, and prior myocardial infarction., Results: We studied 310 participants (n = 70 positive). Median age was 63.8 [57.5, 72.1] years; 51.0% (n = 158) were male. 78.7% (n = 244) were tested in hospital, 3.5% (n = 11) required critical care admission, and 6.1% (n = 19) died. In fully adjusted models, smaller LV/RV end-diastolic volumes, smaller LV stroke volume, and poorer global longitudinal strain were associated with significantly higher odds of COVID-19 positivity., Discussion: We demonstrate association of pre-existing adverse CMR phenotypes with greater odds of COVID-19 positivity independent of classical cardiovascular risk factors., Conclusions: Observational reports of cardiovascular involvement after COVID-19 may, at least partly, reflect pre-existing cardiac status rather than COVID-19 induced alterations.

This study aimed to explore the association between mental health knowledge level and the prevalence of depressive symptoms among Chinese college students. A cross-sectional study was conducted in six universities in Jinan, Shandong Province, China, and a total of 600 college students were recruited to self-complete a series of questionnaires. The Mental Health Knowledge Questionnaire (MHKQ) was used to investigate the level of mental health knowledge. Depressive symptoms were investigated with the depression subscale of the Depression Anxiety Stress Scale (DASS-21). The prevalence rate of depressive symptoms among college students was 31.2%. Compared with MHKQ scoring in the 1st quartile, college students with MHKQ scoring in the 3rd quartile and in the 4th quartile reported lower levels of depressive symptoms after adjusting for potential confounding factors. Since mental health knowledge level was related to depressive symptoms among college students, increased efforts to promote the level of mental health knowledge in Chinese college students are critical.

This position paper has been substantially revised by the Canadian Psychiatric Association (CPA)'s Section on Transcultural Psychiatry and the Standing Committee on Education and approved for republication by the CPA's Board of Directors on February 8, 2019. The original position paper 1 was first approved by the CPA Board on September 28, 2011.

Osteoporosis and ischemic heart disease (IHD) represent important public health problems. Existing research suggests an association between the two conditions beyond that attributable to shared risk factors, with a potentially causal relationship. In this study, we tested the association of bone speed of sound (SOS) from quantitative heel ultrasound with (i) measures of arterial compliance from cardiovascular magnetic resonance (aortic distensibility [AD]); (ii) finger photoplethysmography (arterial stiffness index [ASI]); and (iii) incident myocardial infarction and IHD mortality in the UK Biobank cohort. We considered the potential mediating effect of a range of blood biomarkers and cardiometabolic morbidities and evaluated differential relationships by sex, menopause status, smoking, diabetes, and obesity. Furthermore, we considered whether associations with arterial compliance explained association of SOS with ischemic cardiovascular outcomes. Higher SOS was associated with lower arterial compliance by both ASI and AD for both men and women. The relationship was most consistent with ASI, likely relating to larger sample size available for this variable (n = 159,542 versus n = 18,229). There was no clear evidence of differential relationship by menopause, smoking, diabetes, or body mass index (BMI). Blood biomarkers appeared important in mediating the association for both men and women, but with different directions of effect and did not fully explain the observed effects. In fully adjusted models, higher SOS was associated with significantly lower IHD mortality in men, but less robustly in women. The association of SOS with ASI did not explain this observation. In conclusion, our findings support a positive association between bone and vascular health with consistent patterns of association in men and women. The underlying mechanisms are complex and appear to vary by sex. © 2020 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR)., (© 2020 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).)

Background: Mitral valve (MV) and tricuspid valve (TV) apparatus geometry are essential to define mechanisms and etiologies of regurgitation and to inform surgical or transcatheter interventions. Given the increasing use of cardiovascular magnetic resonance (CMR) for the evaluation of valvular heart disease, we aimed to establish CMR-derived age- and sex-specific reference values for mitral annular (MA) and tricuspid annular (TA) dimensions and tethering indices derived from truly healthy Caucasian adults., Methods: 5065 consecutive UK Biobank participants underwent CMR using cine balanced steady-state free precession imaging at 1.5 T. Participants with non-Caucasian ethnicity, prevalent cardiovascular disease and other conditions known to affect cardiac chamber size and function were excluded. Absolute and indexed reference ranges for MA and TA diameters and tethering indices were stratified by gender and age (45-54, 55-64, 65-74 years)., Results: Overall, 721 (14.2%) truly healthy participants aged 45-74 years (54% women) formed the reference cohort. Absolute MA and TA diameters, MV tenting length and MV tenting area, were significantly larger in men. Mean ± standard deviation (SD) end-diastolic and end-systolic MA diameters in the 3-chamber view (anteroposterior diameter) were 2.9 ± 0.4 cm (1.5 ± 0.2 cm/m 2 ) and 3.3 ± 0.4 cm (1.7 ± 0.2 cm/m 2 ) in men, and 2.6 ± 0.4 cm (1.6 ± 0.2 cm/m 2 ) and 3.0 ± 0.4 cm (1.8 ± 0.2 cm/m 2 ) in women, respectively. Mean ± SD end-diastolic and end-systolic TA diameters in the 4-chamber view were 3.2 ± 0.5 cm (1.6 ± 0.3 cm/m 2 ) and 3.2 ± 0.5 cm (1.7 ± 0.3 cm/m 2 ) in men, and 2.9 ± 0.4 cm (1.7 ± 0.2 cm/m 2 ) and 2.8 ± 0.4 cm (1.7 ± 0.3 cm/m 2 ) in women, respectively. With advancing age, end-diastolic TA diameter became larger and posterior MV leaflet angle smaller in both sexes. Reproducibility of measurements was good to excellent with an inter-rater intraclass correlation coefficient (ICC) between 0.92 and 0.98 and an intra-rater ICC between 0.90 and 0.97., Conclusions: We described age- and sex-specific reference ranges of MA and TA dimensions and tethering indices in the largest validated healthy Caucasian population. Reference ranges presented in this study may help to improve the distinction between normal and pathological states, prompting the identification of subjects that may benefit from advanced cardiac imaging for annular sizing and planning of valvular interventions.

We perform unsupervised analysis of image-derived shape and motion features extracted from 3,822 cardiac Magnetic resonance imaging (MRIs) of the UK Biobank. First, with a feature extraction method previously published based on deep learning models, we extract from each case 9 feature values characterizing both the cardiac shape and motion. Second, a feature selection is performed to remove highly correlated feature pairs. Third, clustering is carried out using a Gaussian mixture model on the selected features. After analysis, we identify 2 small clusters that probably correspond to 2 pathological categories. Further confirmation using a trained classification model and dimensionality reduction tools is carried out to support this finding. Moreover, we examine the differences between the other large clusters and compare our measures with the ground truth., (Copyright © 2020 Zheng, Delingette, Fung, Petersen and Ayache.)

Differences in cardiac and aortic structure and function are associated with cardiovascular diseases and a wide range of other types of disease. Here we analyzed cardiovascular magnetic resonance images from a population-based study, the UK Biobank, using an automated machine-learning-based analysis pipeline. We report a comprehensive range of structural and functional phenotypes for the heart and aorta across 26,893 participants, and explore how these phenotypes vary according to sex, age and major cardiovascular risk factors. We extended this analysis with a phenome-wide association study, in which we tested for correlations of a wide range of non-imaging phenotypes of the participants with imaging phenotypes. We further explored the associations of imaging phenotypes with early-life factors, mental health and cognitive function using both observational analysis and Mendelian randomization. Our study illustrates how population-based cardiac and aortic imaging phenotypes can be used to better define cardiovascular disease risks as well as heart-brain health interactions, highlighting new opportunities for studying disease mechanisms and developing image-based biomarkers.

In this paper, we discuss further advancements to the Multi-System Model of Resilience through examining empirical factor structures of the Multi-System Model of Resilience Inventory along with other measures of resilience. Evidence from multiple sampled populations provided support for the three-systems organization of the model and highlight its similarities and differences in relation to other measures of resilience. The MSMR conceptualizes resilience as a capacity that enables functioning across a continuum from vulnerability to resilience, whereby internal and external resources interface with dynamic coping processes in response to varying needs and goals. Meaningful applications of this model and future steps in model and measurement developments are discussed., (© 2020 The Author(s).)

Background: Convolutional neural network (CNN) based segmentation methods provide an efficient and automated way for clinicians to assess the structure and function of the heart in cardiac MR images. While CNNs can generally perform the segmentation tasks with high accuracy when training and test images come from the same domain (e.g., same scanner or site), their performance often degrades dramatically on images from different scanners or clinical sites. Methods: We propose a simple yet effective way for improving the network generalization ability by carefully designing data normalization and augmentation strategies to accommodate common scenarios in multi-site, multi-scanner clinical imaging data sets. We demonstrate that a neural network trained on a single-site single-scanner dataset from the UK Biobank can be successfully applied to segmenting cardiac MR images across different sites and different scanners without substantial loss of accuracy. Specifically, the method was trained on a large set of 3,975 subjects from the UK Biobank. It was then directly tested on 600 different subjects from the UK Biobank for intra-domain testing and two other sets for cross-domain testing: the ACDC dataset (100 subjects, 1 site, 2 scanners) and the BSCMR-AS dataset (599 subjects, 6 sites, 9 scanners). Results: The proposed method produces promising segmentation results on the UK Biobank test set which are comparable to previously reported values in the literature, while also performing well on cross-domain test sets, achieving a mean Dice metric of 0.90 for the left ventricle, 0.81 for the myocardium, and 0.82 for the right ventricle on the ACDC dataset; and 0.89 for the left ventricle, 0.83 for the myocardium on the BSCMR-AS dataset. Conclusions: The proposed method offers a potential solution to improve CNN-based model generalizability for the cross-scanner and cross-site cardiac MR image segmentation task., (Copyright © 2020 Chen, Bai, Davies, Bhuva, Manisty, Augusto, Moon, Aung, Lee, Sanghvi, Fung, Paiva, Petersen, Lukaschuk, Piechnik, Neubauer and Rueckert.)

Purpose: To demonstrate the feasibility and performance of a fully automated deep learning framework to estimate myocardial strain from short-axis cardiac MRI-tagged images., Materials and Methods: In this retrospective cross-sectional study, 4508 cases from the U.K. Biobank were split randomly into 3244 training cases, 812 validation cases, and 452 test cases. Ground truth myocardial landmarks were defined and tracked by manual initialization and correction of deformable image registration using previously validated software with five readers. The fully automatic framework consisted of (a) a convolutional neural network (CNN) for localization and (b) a combination of a recurrent neural network (RNN) and a CNN to detect and track the myocardial landmarks through the image sequence for each slice. Radial and circumferential strain were then calculated from the motion of the landmarks and averaged on a slice basis., Results: Within the test set, myocardial end-systolic circumferential Green strain errors were -0.001 ± 0.025, -0.001 ± 0.021, and 0.004 ± 0.035 in the basal, mid-, and apical slices, respectively (mean ± standard deviation of differences between predicted and manual strain). The framework reproduced significant reductions in circumferential strain in participants with diabetes, hypertensive participants, and participants with a previous heart attack. Typical processing time was approximately 260 frames (approximately 13 slices) per second on a GPU with 12 GB RAM compared with 6-8 minutes per slice for the manual analysis., Conclusion: The fully automated combined RNN and CNN framework for analysis of myocardial strain enabled unbiased strain evaluation in a high-throughput workflow, with similar ability to distinguish impairment due to diabetes, hypertension, and previous heart attack.Published under a CC BY 4.0 license. Supplemental material is available for this article., (2020 by the Radiological Society of North America, Inc.)

Background: Current guidance from International Society for Heart and Lung Transplantation recommends using body weight for donor-recipient size matching for heart transplantation. However, recent studies have shown that predicted heart mass, using body weight, height, age, and sex, may represent a better method of size matching. We aim to validate a cardiovascular magnetic resonance (CMR)-derived equation for predicted left ventricular mass (LVM) in a cohort of normal individuals in the United Kingdom., Methods: This observational study was conducted in 5065 middle-aged (44-77 years old) UK Biobank participants who underwent CMR imaging in 2014 to 2015. Individuals with cancer diagnosis in the previous 12 months or history of cardiovascular disease were excluded. Predicted LVM was calculated based on participants' sex, height, and weight recorded at the time of imaging. Correlation analyses were performed between the predicted LVM and the LVM obtained from manual contouring of CMR cine images. The analysis included 3398 participants (age 61.5±7.5 years, 47.8% males)., Results: Predicted LVM was considerably higher than CMR-derived LVM (mean±SD of 138.8±28.9 g versus 86.3±20.9 g). However, there was a strong correlation between the 2 measurements (Spearman correlation coefficient 0.802, P <0.0001)., Conclusions: Predicted LVM calculated using a CMR-derived equation that incorporates height, weight, and sex has a strong correlation with CMR LVM in large cohort of normal individuals in the United Kingdom. Our findings suggest that predicted heart mass equations may be a valid tool for donor-recipient size matching for heart transplantation in the United Kingdom.

Aims: The non-invasive assessment of left ventricular (LV) diastolic function and filling pressure in hypertrophic cardiomyopathy (HCM) is still an open issue. Pulmonary blood volume index (PBVI) by cardiovascular magnetic resonance (CMR) has been proposed as a quantitative biomarker of haemodynamic congestion. We aimed to assess the diagnostic accuracy of PBVI for left atrial pressure (LAP) estimation in patients with HCM., Methods and Results: We retrospectively identified 69 consecutive HCM outpatients (age 58 ± 11 years; 83% men) who underwent both transthoracic echocardiography (TTE) and CMR. Guideline-based detection of LV diastolic dysfunction was assessed by TTE, blinded to CMR results. PBVI was calculated as the product of right ventricular stroke volume index and the number of cardiac cycles for a bolus of gadolinium to pass through the pulmonary circulation as assessed by first-pass perfusion imaging. Compared to patients with normal LAP, patients with increased LAP showed significantly larger PBVI (463 ± 127 vs. 310 ± 86 mL/m2, P < 0.001). PBVI increased progressively with worsening New York Heart Association functional class and echocardiographic stages of diastolic dysfunction (P < 0.001 for both). At the best cut-off point of 413 mL/m2, PBVI yielded good diagnostic accuracy for the diagnosis of LV diastolic dysfunction with increased LAP [C-statistic = 0.83; 95% confidence interval (CI): 0.73-0.94]. At multivariable logistic regression analysis, PBVI was an independent predictor of increased LAP (odds ratio per 10% increase: 1.97, 95% CI: 1.06-3.68; P = 0.03)., Conclusion: PBVI is a promising CMR application for assessment of diastolic function and LAP in patients with HCM and may serve as a quantitative marker for detection, grading, and monitoring of haemodynamic congestion., (© The Author(s) 2019. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Background: The genetic basis of left ventricular (LV) image-derived phenotypes, which play a vital role in the diagnosis, management, and risk stratification of cardiovascular diseases, is unclear at present., Methods: The LV parameters were measured from the cardiovascular magnetic resonance studies of the UK Biobank. Genotyping was done using Affymetrix arrays, augmented by imputation. We performed genome-wide association studies of 6 LV traits-LV end-diastolic volume, LV end-systolic volume, LV stroke volume, LV ejection fraction, LV mass, and LV mass to end-diastolic volume ratio. The replication analysis was performed in the MESA study (Multi-Ethnic Study of Atherosclerosis). We identified the candidate genes at genome-wide significant loci based on the evidence from extensive bioinformatic analyses. Polygenic risk scores were constructed from the summary statistics of LV genome-wide association studies to predict the heart failure events., Results: The study comprised 16 923 European UK Biobank participants (mean age 62.5 years; 45.8% men) without prevalent myocardial infarction or heart failure. We discovered 14 genome-wide significant loci (3 loci each for LV end-diastolic volume, LV end-systolic volume, and LV mass to end-diastolic volume ratio; 4 loci for LV ejection fraction, and 1 locus for LV mass) at a stringent P <1×10 -8 . Three loci were replicated at Bonferroni significance and 7 loci at nominal significance ( P <0.05 with concordant direction of effect) in the MESA study (n=4383). Follow-up bioinformatic analyses identified 28 candidate genes that were enriched in the cardiac developmental pathways and regulation of the LV contractile mechanism. Eight genes ( TTN, BAG3, GRK5, HSPB7, MTSS1, ALPK3, NMB , and MMP11 ) supported by at least 2 independent lines of in silico evidence were implicated in the cardiac morphogenesis and heart failure development. The polygenic risk scores of LV phenotypes were predictive of heart failure in a holdout UK Biobank sample of 3106 cases and 224 134 controls (odds ratio 1.41, 95% CI 1.26 - 1.58, for the top quintile versus the bottom quintile of the LV end-systolic volume risk score)., Conclusions: We report 14 genetic loci and indicate several candidate genes that not only enhance our understanding of the genetic architecture of prognostically important LV phenotypes but also shed light on potential novel therapeutic targets for LV remodeling.

Background: Diabetes mellitus (DM) is associated with increased risk of cardiovascular disease. Detection of early cardiac changes before manifest disease develops is important. We investigated early alterations in cardiac structure and function associated with DM using cardiovascular magnetic resonance imaging., Methods: Participants from the UK Biobank Cardiovascular Magnetic Resonance Substudy, a community cohort study, without known cardiovascular disease and left ventricular ejection fraction ≥50% were included. Multivariable linear regression models were performed. The investigators were blinded to DM status., Results: A total of 3984 individuals, 45% men, (mean [SD]) age 61.3 (7.5) years, hereof 143 individuals (3.6%) with DM. There was no difference in left ventricular (LV) ejection fraction (DM versus no DM; coefficient [95% CI]: -0.86% [-1.8 to 0.5]; P =0.065), LV mass (-0.13 g/m 2 [-1.6 to 1.3], P =0.86), or right ventricular ejection fraction (-0.23% [-1.2 to 0.8], P =0.65). However, both LV and right ventricular volumes were significantly smaller in DM, (LV end-diastolic volume/m 2 : -3.46 mL/m 2 [-5.8 to -1.2], P =0.003, right ventricular end-diastolic volume/m 2 : -4.2 mL/m 2 [-6.8 to -1.7], P =0.001, LV stroke volume/m 2 : -3.0 mL/m 2 [-4.5 to -1.5], P <0.001; right ventricular stroke volume/m 2 : -3.8 mL/m 2 [-6.5 to -1.1], P =0.005), LV mass/volume: 0.026 (0.01 to 0.04) g/mL, P =0.006. Both left atrial and right atrial emptying fraction were lower in DM (right atrial emptying fraction: -6.2% [-10.2 to -2.1], P =0.003; left atrial emptying fraction:-3.5% [-6.9 to -0.1], P =0.043). LV global circumferential strain was impaired in DM (coefficient [95% CI]: 0.38% [0.01 to 0.7], P =0.045)., Conclusions: In a low-risk general population without known cardiovascular disease and with preserved LV ejection fraction, DM is associated with early changes in all 4 cardiac chambers. These findings suggest that diabetic cardiomyopathy is not a regional condition of the LV but affects the heart globally.

Population imaging studies generate data for developing and implementing personalised health strategies to prevent, or more effectively treat disease. Large prospective epidemiological studies acquire imaging for pre-symptomatic populations. These studies enable the early discovery of alterations due to impending disease, and enable early identification of individuals at risk. Such studies pose new challenges requiring automatic image analysis. To date, few large-scale population-level cardiac imaging studies have been conducted. One such study stands out for its sheer size, careful implementation, and availability of top quality expert annotation; the UK Biobank (UKB). The resulting massive imaging datasets (targeting ca. 100,000 subjects) has put published approaches for cardiac image quantification to the test. In this paper, we present and evaluate a cardiac magnetic resonance (CMR) image analysis pipeline that properly scales up and can provide a fully automatic analysis of the UKB CMR study. Without manual user interactions, our pipeline performs end-to-end image analytics from multi-view cine CMR images all the way to anatomical and functional bi-ventricular quantification. All this, while maintaining relevant quality controls of the CMR input images, and resulting image segmentations. To the best of our knowledge, this is the first published attempt to fully automate the extraction of global and regional reference ranges of all key functional cardiovascular indexes, from both left and right cardiac ventricles, for a population of 20,000 subjects imaged at 50 time frames per subject, for a total of one million CMR volumes. In addition, our pipeline provides 3D anatomical bi-ventricular models of the heart. These models enable the extraction of detailed information of the morphodynamics of the two ventricles for subsequent association to genetic, omics, lifestyle habits, exposure information, and other information provided in population imaging studies. We validated our proposed CMR analytics pipeline against manual expert readings on a reference cohort of 4620 subjects with contour delineations and corresponding clinical indexes. Our results show broad significant agreement between the manually obtained reference indexes, and those automatically computed via our framework. 80.67% of subjects were processed with mean contour distance of less than 1 pixel, and 17.50% with mean contour distance between 1 and 2 pixels. Finally, we compare our pipeline with a recently published approach reporting on UKB data, and based on deep learning. Our comparison shows similar performance in terms of segmentation accuracy with respect to human experts., (Crown Copyright © 2019. Published by Elsevier B.V. All rights reserved.)