scholarly journals Examining Chronic Insomnia And Cardiac Symptom Experience In The Cardiovascular Population

Author(s):  
Mona Siadat-Khoo

Background: Chronic insomnia affects 10-15% of the world population and is associated with development of cardiovascular diseases [CVD], which remain the second leading cause of death in Canada. CVD is associated with cardiac symptoms and decreased quality-of-life. Purpose: To examine the experience of chronic insomnia, as well as its association with cardiac symptoms, in individuals with CVD. Methodology: Secondary analysis with a descriptive correlational design, among two groups (CVD [n=33] and non-CVD [n=36]). Results: Individuals with CVD experienced greater difficulty maintaining sleep (t=-2.69, p=.01, d=.66). In the CVD and non-CVD groups, insomnia severity and daytime sleepiness were positively and moderately associated with cardiac symptoms. In the CVD group, insomnia severity was negatively associated with dyspnea (r=-.46, p=.01). Implications: Future research can examine assessment of, and behavioural treatment for, chronic insomnia among differing cardiovascular populations to determine its effect on cardiac symptoms, morbidity, and mortality from cardiovascular diseases.

2021 ◽  
Author(s):  
Mona Siadat-Khoo

Background: Chronic insomnia affects 10-15% of the world population and is associated with development of cardiovascular diseases [CVD], which remain the second leading cause of death in Canada. CVD is associated with cardiac symptoms and decreased quality-of-life. Purpose: To examine the experience of chronic insomnia, as well as its association with cardiac symptoms, in individuals with CVD. Methodology: Secondary analysis with a descriptive correlational design, among two groups (CVD [n=33] and non-CVD [n=36]). Results: Individuals with CVD experienced greater difficulty maintaining sleep (t=-2.69, p=.01, d=.66). In the CVD and non-CVD groups, insomnia severity and daytime sleepiness were positively and moderately associated with cardiac symptoms. In the CVD group, insomnia severity was negatively associated with dyspnea (r=-.46, p=.01). Implications: Future research can examine assessment of, and behavioural treatment for, chronic insomnia among differing cardiovascular populations to determine its effect on cardiac symptoms, morbidity, and mortality from cardiovascular diseases.


2021 ◽  
pp. 019394592110319
Author(s):  
Wonshik Chee ◽  
Eun-Ok Im

The purpose of the study was to explore the associations of sub-ethnicity to the survivorship experience of Asian American breast cancer survivors and identify the multiple factors that influenced their survivorship experience. This was a secondary analysis of the data among 94 Asian American breast cancer survivors from a larger ongoing study. Instruments included: questions on background characteristics, the perceived isolation scale, the Personal Resource Questionnaire, the Memorial Symptom Assessment Scale-Short Form, and the Functional Assessment of Cancer Therapy-Breast Cancer. Data were analyzed using hierarchical logistic and multiple regression analyses. After controlling for other factors, being a Japanese American (ref. = being a Chinese American) was significantly associated with pain scores (odds ratio [OR] = −0.32, p < .01), symptom distress scores ( β = −0.27, p < .01), and the quality of life scores ( β = 0.22, p = .03). Sub-ethnic variations in cultural attitudes, values, and beliefs need to be considered in future research/practice with Asian American breast cancer survivors.


Author(s):  
Peter Cox ◽  
Sonal Gupta ◽  
Sizheng Steven Zhao ◽  
David M. Hughes

AbstractThe aims of this systematic review and meta-analysis were to describe prevalence of cardiovascular disease in gout, compare these results with non-gout controls and consider whether there were differences according to geography. PubMed, Scopus and Web of Science were systematically searched for studies reporting prevalence of any cardiovascular disease in a gout population. Studies with non-representative sampling, where a cohort had been used in another study, small sample size (< 100) and where gout could not be distinguished from other rheumatic conditions were excluded, as were reviews, editorials and comments. Where possible meta-analysis was performed using random-effect models. Twenty-six studies comprising 949,773 gout patients were included in the review. Pooled prevalence estimates were calculated for five cardiovascular diseases: myocardial infarction (2.8%; 95% confidence interval (CI)s 1.6, 5.0), heart failure (8.7%; 95% CI 2.9, 23.8), venous thromboembolism (2.1%; 95% CI 1.2, 3.4), cerebrovascular accident (4.3%; 95% CI 1.8, 9.7) and hypertension (63.9%; 95% CI 24.5, 90.6). Sixteen studies reported comparisons with non-gout controls, illustrating an increased risk in the gout group across all cardiovascular diseases. There were no identifiable reliable patterns when analysing the results by country. Cardiovascular diseases are more prevalent in patients with gout and should prompt vigilance from clinicians to the need to assess and stratify cardiovascular risk. Future research is needed to investigate the link between gout, hyperuricaemia and increased cardiovascular risk and also to establish a more thorough picture of prevalence for less common cardiovascular diseases.


2021 ◽  
Vol 28 (8) ◽  
pp. 10262-10282
Author(s):  
Kanwal Shahid ◽  
Varsha Srivastava ◽  
Mika Sillanpää

AbstractEconomic growth and the rapid increase in the world population has led to a greater need for natural resources, which in turn, has put pressure on said resources along with the environment. Water, food, and energy, among other resources, pose a huge challenge. Numerous essential resources, including organic substances and valuable nutrients, can be found in wastewater, and these could be recovered with efficient technologies. Protein recovery from waste streams can provide an alternative resource that could be utilized as animal feed. Membrane separation, adsorption, and microbe-assisted protein recovery have been proposed as technologies that could be used for the aforementioned protein recovery. This present study focuses on the applicability of different technologies for protein recovery from different wastewaters. Membrane technology has been proven to be efficient for the effective concentration of proteins from waste sources. The main emphasis of the present short communication is to explore the possible strategies that could be utilized to recover or restore proteins from different wastewater sources. The presented study emphasizes the applicability of the recovery of proteins from various waste sources using membranes and the combination of the membrane process. Future research should focus on novel technologies that can help in the efficient extraction of these high-value compounds from wastes. Lastly, this short communication will evaluate the possibility of integrating membrane technology. This study will discuss the important proteins present in different industrial waste streams, such as those of potatoes, poultry, dairy, seafood and alfalfa, and the possible state of the art technologies for the recovery of these valuable proteins from the wastewater. Graphical abstract


2022 ◽  
Vol 12 ◽  
Author(s):  
Suraj K. Patel ◽  
John Torous

The urgency to understand the long-term neuropsychiatric sequala of COVID-19, a part of the Post-Acute COVID-19 Syndrome (PACS), is expanding as millions of infected individuals experience new unexplained symptoms related to mood, anxiety, insomnia, headache, pain, and more. Much research on PACS involves cross sectional surveys which limits ability to understand the dynamic trajectory of this emerging phenomenon. In this secondary analysis, we analyzed data from a 4-week observational digital phenotyping study using the mindLAMP app for 695 college students with elevated stress who specified if they were exposed to COVID-19. Students also completed a biweekly survey of clinical assessments to obtain active data. Additionally, passive data streams like GPS, accelerometer, and screen state were extracted from phone sensors and through features the group built. Three hundred and eighty-second number participants successfully specified their COVID-19 exposure and completed the biweekly survey. From active smartphone data, we found significantly higher scores for the Prodromal Questionnaire (PQ) and the Pittsburgh Sleep Quality Index (PSQI) for students reporting exposure to COVID-19 compared to those who were not (ps &lt; 0.05). Additionally, we found significantly decreased sleep duration as captured from the smartphone via passive data for the COVID-19 exposed group (p &lt; 0.05). No significant differences were detected for other surveys or passive sensors. Smartphones can capture both self-reported symptoms and behavioral changes related to PACS. Our results around changes in sleep highlight how digital phenotyping methods can be used in a scalable and accessible manner toward better capturing the evolving phenomena of PACS. The present study further provides a foundation for future research to implement improving digital phenotyping methods.


10.2196/16228 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e16228 ◽  
Author(s):  
Shireen Patel ◽  
Athfah Akhtar ◽  
Sam Malins ◽  
Nicola Wright ◽  
Emma Rowley ◽  
...  

Background The prevalence of mental health disorders continues to rise, with almost 4% of the world population having an anxiety disorder and almost 3.5% having depression in 2017. Despite the high prevalence, only one-third of people with depression or anxiety receive treatment. Over the last decade, the use of digital health interventions (DHIs) has risen rapidly as a means of accessing mental health care and continues to increase. Although there is evidence supporting the effectiveness of DHIs for the treatment of mental health conditions, little is known about what aspects are valued by users and how they might be improved. Objective This systematic review aimed to identify, appraise, and synthesize the qualitative literature available on service users’ views and experiences regarding the acceptability and usability of DHIs for depression, anxiety, and somatoform disorders. Methods A systematic search strategy was developed, and searches were run in 7 electronic databases. Qualitative and mixed methods studies published in English were included. A meta-synthesis was used to interpret and synthesize the findings from the included studies. Results A total of 24 studies were included in the meta-synthesis, and 3 key themes emerged with descriptive subthemes. The 3 key themes were initial motivations and approaches to DHIs, personalization of treatment, and the value of receiving personal support in DHIs. The meta-synthesis suggests that participants’ initial beliefs about DHIs can have an important effect on their engagement with these types of interventions. Personal support was valued very highly as a major component of the success of DHIs. The main reason for this was the way it enabled individual personalization of care. Conclusions Findings from the systematic review have implications for the design of future DHIs to improve uptake, retention, and outcomes in DHIs for depression, anxiety, and somatoform disorders. DHIs need to be personalized to the specific needs of the individual. Future research should explore whether the findings could be generalized to other health conditions.


2018 ◽  
Vol 37 (6) ◽  
pp. 803-809
Author(s):  
Tyler L. Renshaw ◽  
Jeffrey S. Chenier

This brief report presents a secondary analysis of responses to the Student Subjective Wellbeing Questionnaire (SSWQ) with a sample of urban middle-schoolers. Relative classification validity evidence was evaluated for two screening models derived from responses to the SSWQ: one based on the Overall Wellbeing Scale (OWS) and the other based solely on the Academic Efficacy Subscale (AES). Results from Bayesian t tests, using several school-reported outcomes as dependent variables, indicated evidence in favor of classification validity for both the OWS and AES screening models. Yet findings also show that the evidence for the AES model was stronger than that for the OWS model. Implications for future research and practice are discussed.


2008 ◽  
Vol 114 (12) ◽  
pp. 699-706 ◽  
Author(s):  
Chunxiang Zhang

miRNAs (microRNAs) comprise a novel class of endogenous, small, non-coding RNAs that negatively regulate gene expression via degradation or translational inhibition of their target mRNAs. Recent studies have demonstrated that miRNAs are highly expressed in the cardiovascular system. Although we are currently in the initial stages of understanding how this novel class of gene regulators is involved in cardiovascular biological functions, a growing body of exciting evidence suggests that miRNAs are important regulators of cardiovascular cell differentiation, growth, proliferation and apoptosis. Moreover, miRNAs are key modulators of both cardiovascular development and angiogenesis. Consequently, dysregulation of miRNA function may lead to cardiovascular diseases. Indeed, several recent reports have demonstrated that miRNAs are aberrantly expressed in diseased hearts and vessels. Modulating these aberrantly expressed miRNAs has significant effects on cardiac hypertrophy, vascular neointimal lesion formation and cardiac arrhythmias. Identifying the roles of miRNAs and their target genes and signalling pathways in cardiovascular disease will be critical for future research. miRNAs may represent a new layer of regulators for cardiovascular biology and a novel class of therapeutic targets for cardiovascular diseases.


2018 ◽  
Vol 64 (3) ◽  
pp. 276-285 ◽  
Author(s):  
Kimiko Tanaka ◽  
Larry Davidson ◽  
Thomas J Craig

Background: While the neighborhood community literature well documents a link between participation in supportive and effective community groups or activities and empowerment, there is as yet little empirical evidence of this relationship in the context of community mental health programs. Aim: The primary purpose of the study was to examine the relationship between sense of community belonging and empowerment among members of mental health clubhouses. Methods: A secondary analysis using a hierarchical regression model was conducted on cross-sectional structured interview data collected through a self-report questionnaire from 102 clubhouse members from six clubhouses in the United States and Finland. Results: The results indicated that members’ sense of clubhouse community belonging positively contributes to their empowerment. Conclusion: Fostering sense of community belonging appears to be a valid approach to catalyze empowerment. Study limitations and future research agendas were discussed.


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