scholarly journals The potential relationship between mental health during the COVID-19 crisis and cardiovascular diseases: time to break the vicious cycle (Preprint)

2020 ◽  
Author(s):  
Mazou Temgoua ◽  
Francky Teddy Endomba ◽  
Liliane Mfeukeu Kuate ◽  
Joel Noutakdie Tochie ◽  
William Ngatchou
Keyword(s):  
Mental Health ◽  
Cardiovascular Disease ◽  
Cardiovascular Diseases ◽  
High Risk ◽  
Mental Disorders ◽  
Global Health ◽  
Disease Control ◽  
Vicious Cycle ◽  
Global Health Issue ◽  
Anxiety Depression

UNSTRUCTURED Coronavirus disease 2019 (COVID-19) is an on-going global health issue with many mental health consequences including stress, anxiety, depression and suicides. These are known to be associated with cardiovascular diseases which may adversely affect patients’ outcomes. As the pandemic progresses, the incidence of mental disorders with high-risk of cardiovascular disease also increases and this can negatively impact disease control of COVID-19 infection. There is an urgent need to break this vicious cycle to reduce the burden of COVID-19 disease.

scholarly journals Pathways by Which Food Insecurity Is Associated With Atherosclerotic Cardiovascular Disease Risk

2021 ◽  
Author(s):  
Deepak Palakshappa ◽  
Edward H. Ip ◽  
Seth A. Berkowitz ◽  
Alain G. Bertoni ◽  
Kristie L. Foley ◽  
...  
Keyword(s):  
Mental Health ◽  
Cardiovascular Disease ◽  
High Risk ◽  
Food Insecurity ◽  
Access To Care ◽  
Risk Score ◽  
Equation Modeling ◽  
Care Pathways ◽  
Atherosclerotic Cardiovascular Disease ◽  
Ascvd Risk

Background Food insecurity (FI) has been associated with an increased atherosclerotic cardiovascular disease (ASCVD) risk; however, the pathways by which FI leads to worse cardiovascular health are unknown. We tested the hypothesis that FI is associated with ASCVD risk through nutritional/anthropometric (eg, worse diet quality and increased weight), psychological/mental health (eg, increased depressive symptoms and risk of substance abuse), and access to care pathways. Methods and Results We conducted a cross‐sectional study of adults (aged 40–79 years) using the 2007 to 2016 National Health and Nutrition Examination Survey. Our primary exposure was household FI, and our outcome was 10‐year ASCVD risk categorized as low (<5%), borderline (≥5% –<7.5%), intermediate (≥7.5%–<20%), and high risk (≥20%). We used structural equation modeling to evaluate the pathways and multiple mediation analysis to determine direct and indirect effects. Of the 12 429 participants, 2231 (18.0%) reported living in a food‐insecure household; 5326 (42.9%) had a low ASCVD risk score, 1402 (11.3%) borderline, 3606 (29.0%) intermediate, and 2095 (16.9%) had a high‐risk score. In structural models, we found significant path coefficients between FI and the nutrition/anthropometric (β, 0.130; SE, 0.027; P <0.001), psychological/mental health (β, 0.612; SE, 0.043; P <0.001), and access to care (β, 0.110; SE, 0.036; P =0.002) pathways. We did not find a significant direct effect of FI on ASCVD risk, and the nutrition, psychological, and access to care pathways accounted for 31.6%, 43.9%, and 15.8% of the association, respectively. Conclusions We found that the association between FI and ASCVD risk category was mediated through the nutrition/anthropometric, psychological/mental health, and access to care pathways. Interventions that address all 3 pathways may be needed to mitigate the negative impact of FI on cardiovascular disease.

scholarly journals Cardiovascular Disease Prediction using Data Mining Techniques

2017 ◽  
Vol 10 (2) ◽  
pp. 520-528 ◽  
Author(s):  
Mudasir Kirmani
Keyword(s):  
Data Mining ◽  
Cardiovascular Disease ◽  
Cardiovascular Diseases ◽  
High Risk ◽  
Learning Algorithm ◽  
Heart Diseases ◽  
Circulatory System ◽  
World Health ◽  
Support Vector ◽  
Predictive Tool

Cardiovascular disease represents various diseases associated with heart, lymphatic system and circulatory system of human body. World Health Organisation (WHO) has reported that cardiovascular diseases have high mortality rate and high risk to cause various disabilities. Most prevalent causes for cardiovascular diseases are behavioural and food habits like tobacco intake, unhealthy diet and obesity, physical inactivity, ageing and addiction to drugs and alcohol are to name few. Factors such as hypertension, diabetes, hyperlipidemia, Stress and other ailments are at high risk to cardiovascular diseases. There have been different techniques to predict the prevalence of cardiovascular diseases in general and heart disease in particular from time to time by implementing variety of algorithms. Detection and management of cardiovascular diseases can be achieved by using computer based predictive tool in data mining. By implementing data mining based techniques there is scope for better and reliable prediction and diagnosis of heart diseases. In this study we studied various available techniques like decision Tree and its variants, Naive Bayes, Neural Networks, Support Vector Machine, Fuzzy Rules, Genetic Algorithms, and Ant Colony Optimization to name few. The observations illustrated that it is difficult to name a single machine learning algorithm for the diagnosis and prognosis of CVD. The study further contemplates on the behaviour, selection and number of factors required for efficient prediction.

Mental-Physical Comorbidity in Te Rau Hinengaro: The New Zealand Mental Health Survey

2006 ◽  
Vol 40 (10) ◽  
pp. 882-888 ◽  
Author(s):  
Kate M. Scott ◽  
Mark A. Oakley Browne ◽  
Magnus A. Mcgee ◽  
J. Elisabeth Wells ◽  
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Cardiovascular Disease ◽  
New Zealand ◽  
Mental Disorders ◽  
Mental Disorder ◽  
Composite International Diagnostic Interview ◽  
Hazardous Alcohol Use ◽  
Physical Conditions ◽  
Chronic Physical Conditions

Objective: To estimate the prevalence of chronic physical conditions, and the risk factors for those conditions, among those with 12 month mental disorder; to estimate the prevalence of 12 month mental disorder among those with chronic physical conditions. Method: A nationally representative face-to-face household survey was carried out in October 2003 to December 2004 with 12 992 participants aged 16 years and over, achieving a response rate of 73.3%. Mental disorders were measured with the World Mental Health version of the Composite International Diagnostic Interview (CIDI 3.0). Physical conditions were self-reported. All associations are reported adjusted for age and sex. Results: People with (any) mental disorder, relative to those without mental disorder, had higher prevalences of several chronic physical conditions (chronic pain, cardiovascular disease, high blood pressure and respiratory conditions) and chronic condition risk factors (smoking, overweight/obesity, hazardous alcohol use). Around a quarter of people with chronic physical conditions had a comorbid mental disorder compared with 15% of the population without chronic conditions. Significant relationships occurred between some mental disorders and obesity, cardiovascular disease and diabetes for females, but not for males. Conclusions: This paper provides evidence of substantial comorbidity between mental disorders and chronic physical conditions in New Zealand. This should be borne in mind by clinicians working in both mental health and medical services.

scholarly journals Prevalence of Depression, Anxiety and Insomnia in Chronic Kidney Disease Patients and their Co-Relation with the Demographic Variables

PRILOZI ◽  
2017 ◽  
Vol 38 (2) ◽  
pp. 35-44 ◽  
Author(s):  
H.K. Aggarwal ◽  
Deepak Jain ◽  
Geeta Dabas ◽  
R K Yadav
Keyword(s):  
Mental Health ◽  
Chronic Kidney Disease ◽  
High Risk ◽  
Kidney Disease ◽  
Low Income ◽  
Multiple Logistic Regression Analysis ◽  
Demographic Variables ◽  
Negative Consequences ◽  
Ckd Stage ◽  
Anxiety Depression

Abstract Background: Chronic kidney disease (CKD) is an emerging health problem in both developed and developing countries. Depression, anxiety and sleep disturbances are highly prevalent in patients with chronic disease, but remain undertreated despite significant negative consequences on patients’ health. Assessment of key components of mental health early in disease course will help to identify high risk subjects in whom modifying these predictors will help in providing active and healthy life in CKD patients. Methods: We did a cross sectional study in 200 patients of CKD stage III to V-D fulfilling the eligibility criteria who were on follow up in a single tertiary care center in the state of Haryana, India. We assessed the prevalence of anxiety, depression and insomnia and their correlation with demographic variables in these patients. The structured questionnaire used in this study gathered information on respondent demographic and disease characteristics, and information obtained from the HADS and PSQI questionnaire. Factors associated with anxiety, depression and insomnia were examined by a multiple logistic regression analysis. Results: The prevalence of anxiety, depression and insomnia were found to be 71%, 69% and 86.5% respectively. As the CKD stage advanced, the prevalence as well as severity of these parameters increased. Anxiety, depression and sleep quality were found to be significantly correlated to unemployment, low income, low education, urban residence and presence of co-morbidities. The anxiety, depression and insomnia scores were found to have a strong negative correlation with eGFR, hemoglobin, serum calcium (p <0.01) and a positive correlation with TLC, blood urea, serum creatinine and serum phosphate (p <0.05). Conclusion: We observed a high prevalence of anxiety, depression and insomnia in CKD patients. There is a need to develop strategies to accurately identify “high risk” subjects who may benefit from preventive measures before complications occur. By identifying CKD patients with high risk of developing these mental health related issues, healthcare provider may be better able to ensure the provision of appropriate rehabilitation to this population.

scholarly journals Child and Adolescent Anxiety as a Result of the COVID-19 Pandemic

2021 ◽  
Author(s):  
Jie Luo ◽  
Alfred Shaw
Keyword(s):  
Mental Health ◽  
Global Health ◽  
Children And Adolescents ◽  
Clinical Characteristics ◽  
Psychological Impact ◽  
Child And Adolescent ◽  
Therapeutic Options ◽  
Physical And Mental Health ◽  
Adolescent Anxiety ◽  
Global Health Issue

As the coronavirus disease 2019 (COVID-19) pandemic has spread, so has the psychological impact of the disease been felt worldwide. Among the various types of psychological problems that are caused by COVID-19, anxiety poses a great threat to the physical and mental health of children and adolescents. With an aim of advancing the current work of diagnosing and treating child and adolescent anxiety as a result of the COVID-19 pandemic, this chapter discusses this noticeable global health issue focusing on the following key parts: possible etiology, clinical characteristics, diagnosis and available therapeutic options.

scholarly journals Living under siege: resilience, hopelessness, and psychological distress among Palestinian students in the Gaza Strip

2021 ◽  
Vol 8 ◽  
Author(s):  
Guido Veronese ◽  
Alessandro Pepe ◽  
Marwan Diab ◽  
Yasser Abu Jamey ◽  
Ashraf Kagee
Keyword(s):  
Mental Health ◽  
Human Rights ◽  
Psychological Distress ◽  
Mental Disorders ◽  
Common Mental Disorders ◽  
Gaza Strip ◽  
Mental Symptoms ◽  
The Gaza Strip ◽  
Anxiety Depression ◽  
The Impact

Abstract Background Moving from an approach oriented to adaptation and functioning, the current paper explored the network of cumulative associations between the effects of the siege and resilience on mental health. Methods We sought to explore the impact of the siege on psychological distress (anxiety, depression, and stress) and the moderating effect of resilience and hopelessness in a sample of 550 Palestinian university students. We hypothesized that the siege effect would impact psychological distress so that the more people were affected by the siege, the more mental symptoms of common mental disorders they would report. We also expected that the siege would negatively impact both resilience and participants' hopelessness. Results Findings showed that higher scores on the scale measuring effect of the siege were associated with hopelessness. Furthermore, living under siege compromised participants’ resilience. The more the siege affected individuals, the lower resilience were protecting participants mental health and the more hopelessness was exposing them to anxiety, stress, and depression. Conclusion Our findings draw attention to how the ongoing violation of human rights influences people's mental health in Gaza. Implications for clinicians and policymakers are discussed.

scholarly journals Mental health in the republic of Paraguay

2021 ◽  
pp. 1-3
Author(s):  
Anne Aboaja ◽  
Alina Wahab ◽  
Yang Yang Cao ◽  
Marcelo O'Higgins ◽  
Julio Torales
Keyword(s):  
Public Health ◽  
Mental Health ◽  
High Risk ◽  
Mental Disorders ◽  
Health Policies ◽  
Middle Income ◽  
The Past ◽  
High Risk Populations ◽  
The Republic ◽  
Mental Health Policies

Paraguay is a landlocked country in South America. It is a democratic low-middle-income nation, and the Ministry of Public Health and Social Welfare is responsible for its healthcare system. Mental health services receive just 1–2% of healthcare budgets, and there are only 1.6 psychiatrists per 100 000 inhabitants. There are insufficient resources to adequately assess and treat mental disorders in high-risk populations such as children, adolescents and prisoners. Despite several improvements to mental health policies within the past two decades, the nation still lacks a Mental Health Act and specific policies required to optimise the mental health of the population.

scholarly journals The potential relationship between mental health during the COVID-19 crisis and cardiovascular diseases: time to break the vicious cycle (Preprint)

JMIR Cardio ◽  
10.2196/20807 ◽  
2020 ◽  
Author(s):  
Mazou Temgoua ◽  
Francky Teddy Endomba ◽  
Liliane Mfeukeu Kuate ◽  
Joel Noutakdie Tochie ◽  
William Ngatchou
Keyword(s):  
Mental Health ◽  
Cardiovascular Diseases ◽  
Vicious Cycle ◽  
Potential Relationship

scholarly journals Mobile-based interventions for common mental disorders in youth: a systematic evaluation of pediatric health apps

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Matthias Domhardt ◽  
Eva-Maria Messner ◽  
Anna-Sophia Eder ◽  
Sophie Engler ◽  
Lasse B. Sander ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Disorders ◽  
Mental Health Professionals ◽  
Rating Scales ◽  
Rating Scale ◽  
Common Mental Disorders ◽  
Mobile App ◽  
Health Apps ◽  
Anxiety Depression

Abstract Background The access to empirically-supported treatments for common mental disorders in children and adolescents is often limited. Mental health apps might extend service supplies, as they are deemed to be cost-efficient, scalable and appealing for youth. However, little is known about the quality of available apps. Therefore, we aimed to systematically evaluate current mobile-based interventions for pediatric anxiety, depression and posttraumatic stress disorder (PTSD). Methods Systematic searches were conducted in Google Play Store and Apple App Store to identify relevant apps. To be eligible for inclusion, apps needed to be: (1) designed to target either anxiety, depression or PTSD in youth (0–18 years); (2) developed for children, adolescents or caregivers; (3) provided in English or German; (4) operative after download. The quality of eligible apps was assessed with two standardized rating systems (i.e., Mobile App Rating Scale (MARS) and ENLIGHT) independently by two reviewers. Results Overall, the searches revealed 3806 apps, with 15 mental health apps (0.39%) fulfilling our inclusion criteria. The mean overall scores suggested a moderate app quality (MARS: M = 3.59, SD = 0.50; ENLIGHT: M = 3.22, SD = 0.73). Moreover, only one app was evaluated in an RCT. The correlation of both rating scales was high (r = .936; p < .001), whereas no significant correlations were found between rating scales and user ratings (p > .05). Conclusions Our results point to a rather poor overall app quality, and indicate an absence of scientific-driven development and lack of methodologically sound evaluation of apps. Thus, future high-quality research is required, both in terms of theoretically informed intervention development and assessment of mental health apps in RCTs. Furthermore, institutionalized best-practices that provide central information on different aspects of apps (e.g., effectiveness, safety, and data security) for patients, caregivers, stakeholders and mental health professionals are urgently needed.

scholarly journals The Effects of Quarantine on Depression

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Aaron Zeng
Keyword(s):  
Older Adults ◽  
Social Media ◽  
High Risk ◽  
Mental Disorders ◽  
Media Usage ◽  
Human Contact ◽  
Major Factors ◽  
Anxiety Depression ◽  
Stressful Environments

The 2020 Covid-19 Virus introduced a new norm into everybody's lives. Among many changes, a significant one was that people were forced to stay inside their homes for days on end, putting many people at high risk for developing mental disorders, such as anxiety, depression, and stress. This paper will specifically focus on depression and combine various sources to analyze how quarantine can lead to depression. This research shows that insufficient sunlight, stressful environments, and lack of human contact are major factors. Furthermore, older adults suffer more due to their low social media usage. This study concludes on how we can prevent this in future pandemics, proposing an app for older adults to use that is simplistic in its design to encourage users of all ages while filtering out stressful news that might cause panic.

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