Effects of Cognitive Behavioral Therapy for Insomnia on Sleep, Symptoms, Stress, and Autonomic Function Among Patients With Heart Failure

Cortisol, cardiovascular risk, and anxiety in full-time workers in Cartagena, Colombia, 2023

Background

Considering the general trend toward an increased occurrence of cardiovascular and mental health diseases, we studied the relationship between the presence of trait and state anxiety and the alteration of serum cortisol, lipid, and glycemia levels.

Material and methods

The study assessed 90 full-time workers waist circumferences, as well as their cortisol levels at 8 AM and 4 PM, and their fasting serum glucose and lipid profiles. The construct of trait and state anxiety was assessed by means of the Inventory of Trait-State Anxiety (IDARE Spanish version).

Results

The state anxiety scale showed high reliability (ω = 0.94, α = 0.939). Moderate to high state anxiety was observed in 61.1% of participants, while 71.1% had moderate to high trait anxiety. Most participants (94.4%) had AM and PM cortisol levels within normal ranges. PM cortisol levels were lower than AM cortisol levels in 95.6% of participants (86/90). Dyslipidemia was present in 60.4% of participants. No significant sex differences were found in AM and PM cortisol or anxiety levels, except for triglycerides, which were higher in men (p = 0.013). State anxiety was positively correlated with PM cortisol levels (r = 0.232, p = 0.028), no significant associations were found with AM cortisol or age. A significant association was observed between waist circumference and fasting glycemia, with 68.9% of participants exceeding the recommended waist circumference threshold. Obesity was significantly associated with hyperglycemia (p = 0.010). An ANOVA revealed a significant effect of state anxiety on evening cortisol levels (F(2, 87) = 7.336, p = 0.001), with the high state anxiety group exhibiting the highest PM cortisol levels. Additionally, a t-test found a significant difference in triglyceride levels between the presence and absence of state anxiety t (87.999) = -2.244, p = 0.027.

Conclusions

The presence of state anxiety proved to be the type of anxiety most associated with increased evening cortisol levels and triglyceride levels. Understanding the relationships between mental states and biochemical physical conditions will be essential in the future for maximizing the benefits of technological developments applied to the diagnosis, prognosis, and monitoring of patients' overall health.

The Sleep Patterns and Influencing Factors of Chronic Heart Failure Patients in China: A Latent Profile Analysis

Purpose

Sleep problems such as reduced sleep efficiency, difficulty initiating sleep, and increased sleep disturbances significantly affect the quality of life and health status of patients with chronic heart failure (CHF). However, the sleep patterns of CHF patients and their influencing factors need to be further studied. Therefore, this study aimed to explore the latent sleep patterns in patients with CHF and to analyze the factors influencing different sleep patterns.

Patients and Methods

A convenience sampling method was adopted to select 290 patients with CHF who were hospitalized in the Department of Cardiology of a tertiary hospital in Yangzhou City, Jiangsu Province, China, from January to August 2024. The investigation utilized a general information questionnaire, the Pittsburgh Sleep Quality Index (PSQI), and the Fear of Progression Questionnaire-Short Form (FoP-Q-SF). Utilizing Mplus version 8.3 for potential profile analysis, the influences on potential categorization were examined through univariate and multivariate logistic regression analyses.

Results

The sleep quality score of 290 patients with CHF was (12.00±3.95). The findings from latent profile analysis indicated that the sleep quality patterns of patients with CHF were categorized into three distinct profiles: relatively good sleep group (n=87, 30.3%), low sleep efficiency-low medication use group (n=160, 54.9%), and sleep disorder-substance dependence group (n=43, 14.8%). Multiple logistic regression analysis showed that age, monthly income, number of hospitalizations for heart failure in a year, number of comorbidities, and fear of progression were influential factors (P < 0.05).

Conclusion

Sleep quality among patients with CHF exhibits distinct distributional profiles. Healthcare providers should implement tailored sleep management strategies and psychological interventions, aligning with the sleep patterns and influencing factors specific to patients with CHF. However, it is necessary to note that this study employed a cross-sectional design, and future research could benefit from a longitudinal design.

Digital and AI-Enhanced Cognitive Behavioral Therapy for Insomnia: Neurocognitive Mechanisms and Clinical Outcomes

Background/Objectives: This systematic review explores the integration of digital and AI-enhanced cognitive behavioral therapy (CBT) for insomnia, focusing on underlying neurocognitive mechanisms and associated clinical outcomes. Insomnia significantly impairs cognitive functioning, overall health, and quality of life. Although traditional CBT has demonstrated efficacy, its scalability and ability to deliver individualized care remain limited. Emerging AI-driven interventions-including chatbots, mobile applications, and web-based platforms-present innovative avenues for delivering more accessible and personalized insomnia treatments. Methods: Following PRISMA guidelines, this review synthesized findings from 78 studies published between 2004 and 2024. A systematic search was conducted across PubMed, Scopus, Web of Science, and PsycINFO. Studies were included based on predefined criteria prioritizing randomized controlled trials (RCTs) and high-quality empirical research that evaluated AI-augmented CBT interventions targeting sleep disorders, particularly insomnia. Results: The findings suggest that digital and AI-enhanced CBT significantly improves sleep parameters, patient adherence, satisfaction, and the personalization of therapy in alignment with individual neurocognitive profiles. Moreover, these technologies address critical limitations of conventional CBT, notably those related to access and scalability. AI-based tools appear especially promising in optimizing treatment delivery and adapting interventions to cognitive-behavioral patterns. Conclusions: While AI-enhanced CBT demonstrates strong potential for advancing insomnia treatment through neurocognitive personalization and broader clinical accessibility, several challenges persist. These include uncertainties surrounding long-term efficacy, practical implementation barriers, and ethical considerations. Future large-scale longitudinal research is necessary to confirm the sustained neurocognitive and behavioral benefits of digital and AI-powered CBT for insomnia.

A low n-6/n-3 PUFA ratio and high level of dietary ɑ-linolenic acid improves sleep behavior in mice with insomnia

Camelina sativa oil (CSO) and Semen Ziziphi Spinosae oil (SZSO) are functional oils that have beneficial effects on brain health. This study evaluated the sedative and hypnotic effects of vegetable oils with various n - 6/n - 3 polyunsaturated fatty acids (PUFA) ratios and ɑ-linolenic acid (ALA) contents to mice. The n - 6/n - 3 PUFA ratios of CSO (CSO:SZSO = 1:0, 1.8 g/kg), SZSO (CSO:SZSO = 0:1, 1.8 g/kg), CSO-SZSO-L (CSO:SZSO = 1:1, 1.8 g/kg), and CSO-SZSO-H (CSO:SZSO = 1:1, 3.6 g/kg) were 0.51, 140, 1.69, and 1.69, respectively. The doses of ALA administered to mice with p-chlorophenylalanine-induced insomnia were approximately 0.64, 50 × 10-4, 0.32, and 0.64 g/kg, respectively. The mice were administered CSO, SZSO, and a low-dose combination of CSO and SZSO for seven days with no obvious hypnotic effects. However, the administration of a high-dose combination of CSO and SZSO significantly prolonged sleep duration in mice with induced insomnia and inhibited the serum levels of corticotropin-releasing hormone, adrenocorticotropic hormone, and cortisol. Interestingly, there were no significant effects on the structure and function of the hippocampal tissue. The results indicated that the anti-insomnia effects of these vegetable oils were positively correlated with a low n - 6/n - 3 PUFA ratio and the absolute amount of ALA.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13197-024-06004-1.

Neurophysiology and Molecular Basis of Cognitive Behavioral Therapy for Patients with Insomnia: Implications for Non-Pharmacological Approaches

Cognitive behavioral therapy for insomnia (CBT-I) is a widely used psychological intervention known for its effectiveness in improving insomnia symptoms. However, the neurophysiological mechanisms underlying the cognitive-behavioral treatment of insomnia remain unclear. This narrative review aimed to elucidate the neurophysiological and molecular mechanisms of CBT-I, focusing on the fields of psychology, neurophysiology, neuroendocrinology, immunology, medical microbiology, epigenetics, neuroimaging and brain function. A comprehensive search was conducted using databases including: PubMed, Embase, PsycINFO and Web of Science, with customized search strategies tailored to each database that included controlled vocabulary and alternative synonyms. It revealed that CBT-I may have a beneficial effect on the central nervous system, boost the immune system, upregulate genes involved in interferon and antibody responses, enhance functional connectivity between the hippocampus and frontoparietal areas and increase cortical gray matter thickness. In conclusion, an integrated model is proposed that elucidates the mechanisms of CBT-I and offers a new direction for investigations into its neurophysiological mechanisms.

Cognitive behavioral therapy for the treatment of insomnia in patients with cardiovascular diseases: a meta-analysis with GRADE analysis

Insomnia, as a difficulty in initiating and maintaining sleep, coupled with cardiovascular diseases (CVDs) increase the risk of aggravate daytime symptoms, mortality, and morbidity. Cognitive behavioral therapy (CBT) is thought to have a significant impact on insomnia treatment, but in patients with CVDs, there is a paucity of data. To provide a comprehensive appraisal on the impact of CBT on the treatment of insomnia in patients with CVDs. We searched Ovid, Scopus, Web of science, and Cochrane central, to randomized controlled trials (RCTs) from inception till November 2022. Outcomes of interest were insomnia severity index (ISI), Pittsburgh Sleep Quality Index (PSQI), sleep efficiency (SE), Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS), and sleep disorders questionnaire (SDQ). Pooled data were analyzed using mean difference (MD) with its 95% confidence interval (CI) in a random effect model using STATA 17 for Mac. Nine RCTs comprising 365 patients were included in the analysis. CBT significantly reduced scores of ISI (MD =  - 3.22, 95%  CI - 4.46 to - 1.98, p < 0.001), PSQI (MD =  - 2.33, 95%  CI - 3.23 to - 1.44, p < 0.001), DBAS (MD =  - 0.94, 95%  CI - 1.3 to - 0.58, p < 0.001), SDQ (MD =  - 0.38, 95%  CI - 0.56 to - 0.2, p < 0.001). Also, it increased the score of SE (MD = 6.65, 95% CI 2.54 to 10.77, p < 0.001). However, there was no difference in terms of ESS. CBT is an easy and feasible intervention with clinically significant improvement in insomnia symptoms. Further large-volume studies are needed to assess sustained efficacy.

Study on the Profiles of Sleep Disorders, Associated Factors, and Pathways Among Gynecological Cancer Patients - A Latent Profile Analysis

Background

Gynecological cancer generally refers to malignant tumors in gynecology, commonly including cervical cancer, endometrial cancer, and ovarian cancer. Patients with gynecological cancer often suffer from sleep disorders after clinical treatment. Except for serious sleep disorders, female characteristics, family roles, and feudal beliefs make their self-stigma at a medium to high level, leading to huge pressure. This study aims to identify potential categories of sleep disorders, and analyze the relationship between self-stigma, perceived stress, and sleep disorders.

Methods

A cross-sectional study was conducted in 2021-2022. Two hundred and two patients' data were collected from ShengJing Hospital Affiliated to China Medical University in Liaoning, Shenyang by using paper questionnaires for face-to-face surveys. The survey tools included the Pittsburgh Sleep Quality Index (PSQI), the Perceived Stress Scale (PSS), and the Social Impact Scale (SIS). Potential profile analysis (LPA), multiple logistic regression analysis, and structural equation modeling (SEM) were performed by Mplus 8.3, SPSS 26.0, and Amos 24.0 statistical tools, respectively.

Results

Three latent patterns of sleep disorders were found: "Good Sleep group (42.5%)", "Sleep Deficiency group (32.4%)", and "Sleep Disturbance group (25.1%)". Patients with high perceived stress were more likely to report a moderate (OR=1.142, 95% CI: 1.061-1.230) or high (OR=1.455, 95% CI: 1.291-1.640) level of sleep disorders. Self-stigma did not have a direct effect on sleep disorders (0.055, P>0.05), but it could have indirect effect on sleep disorders through perceived stress (0.172, P<0.01).

Conclusion

The perceptions of sleep disorders among gynecological cancer patients varies and exhibits individual differences. Gynecological cancer patients who feels alienated or discriminated may cause high pressure. This internal pressure can exacerbate sleep disorders.

Sleep is Essential for Cardiovascular Health: An Analytic Review of the Relationship Between Sleep and Cardiovascular Mortality

The American Heart Association recently included sleep health as one of eight factors that define cardiovascular health. Restorative sleep is a pillar of lifestyle medicine influenced by sleep duration, quality, and disorders. Short and long sleep duration are associated with greater risk of cardiovascular disease. Short sleep appears causally related to cardiovascular risk. Long sleep is more strongly predictive of cardiovascular risk, which may be due to comorbidities and other risk factors. Good-quality sleep appears to protect against the increased risk and is independently associated with risk of cardiovascular disease (CVD). Insomnia, particularly difficulty falling asleep and non-restorative sleep, is associated with an increase in cardiac events. Obstructive sleep apnea (OSA) is associated with cardiac risk and outcomes, which is typically observed in the context of contributing comorbidities. However, treating OSA with continuous positive airway pressure (CPAP) may not improve prognosis. Further research is needed to understand the causal mechanisms connecting sleep health with CVD and whether modifying sleep can improve outcomes. Sleep health should be considered as part of a holistic approach to improving cardiovascular health, as reflected in the scoring of LE8 and as one of the interrelated components of lifestyle medicine.

Psychological impact of COVID-19 and determinants among Spanish university students

Background

University students are a vulnerable population and faced a significant psychological impact from the COVID-19 pandemic. Therefore, this study aimed to determine the level of fear of COVID-19 among university students and to evaluate the possible relationship between fear of COVID-19 and socio-demographic, health-related determinants, variables related to the COVID-19 and variables related to the psychological impact of the COVID-19 pandemic.

Methods

We conducted a cross-sectional study between December 2020 and December 2021 on a sample of 950 university students from two universities in southern Spain. Participants completed a form that collected socio-demographic, health-related and COVID-related variables, a validated questionnaire related to the psychological impact of the COVID-19 pandemic and the fear of COVID Scale (FCV-19S). Descriptive, inferential, and multivariable linear regression analyzes were conducted.

Results

The mean FCV-19S score was 14.86 ± 5.16 points. The factors identified as predictors of FCV-19S were being female (p < 0.001), holding religious beliefs (p = 0.04), living in towns with over 10,000 inhabitants (p < 0.01), living with someone vulnerable to COVID-19 (p = 0.02), watching TV to keep informed about COVID-19 (p < 0.01), believing in a low probability of surviving if infected with COVID-19 (p < 0.001), having a higher level of death anxiety (p < 0.001) and suffering from insomnia (p < 0.001).

Conclusion

An average fear of COVID-19 score of 14.86 ± 5.16 points has been found among university students in Spain. These findings can aid in identifying specific factors contributing to fear of COVID-19 and in developing coping strategies to alleviate the stress of the pandemic.

Insomnia and Early Incident Atrial Fibrillation: A 16-Year Cohort Study of Younger Men and Women Veterans

Background There is growing consideration of sleep disturbances and disorders in early cardiovascular risk, including atrial fibrillation (AF). Obstructive sleep apnea confers risk for AF but is highly comorbid with insomnia, another common sleep disorder. We sought to first determine the association of insomnia and early incident AF risk, and second, to determine if AF onset is earlier among those with insomnia. Methods and Results This retrospective analysis used electronic health records from a cohort study of US veterans who were discharged from military service since October 1, 2001 (ie, post-9/11) and received Veterans Health Administration care, 2001 to 2017. Time-varying, multivariate Cox proportional hazard models were used to examine the independent contribution of insomnia diagnosis to AF incidence while serially adjusting for demographics, lifestyle factors, clinical comorbidities including obstructive sleep apnea and psychiatric disorders, and health care utilization. Overall, 1 063 723 post-9/11 veterans (Mean age=28.2 years, 14% women) were followed for 10 years on average. There were 4168 cases of AF (0.42/1000 person-years). Insomnia was associated with a 32% greater adjusted risk of AF (95% CI, 1.21-1.43), and veterans with insomnia showed AF onset up to 2 years earlier. Insomnia-AF associations were similar after accounting for health care utilization (adjusted hazard ratio [aHR], 1.27 [95% CI, 1.17-1.39]), excluding veterans with obstructive sleep apnea (aHR, 1.38 [95% CI, 1.24-1.53]), and among those with a sleep study (aHR, 1.26 [95% CI, 1.07-1.50]). Conclusions In younger adults, insomnia was independently associated with incident AF. Additional studies should determine if this association differs by sex and if behavioral or pharmacological treatment for insomnia attenuates AF risk.

Insomnia

OBJECTIVE

This article provides an overview of the current definitions, diagnostic tools, and overall management of insomnia.

LATEST DEVELOPMENTS

The treatment of insomnia has shifted over time, with a growing emphasis on nonpharmacologic therapies as a first-line intervention and the leveraging of technology to aid in the dissemination of these therapies. With this evolution, the definition of insomnia has changed to reflect a common treatment pathway. As pharmacologic treatment options have increased, so has concern about the dangerous short-term and long-term adverse effects of these treatment options.

ESSENTIAL POINTS

Insomnia is a common disorder, frequently overlapping with other neurologic and psychiatric disorders, which can cause significant distress and disruption to patients' lives. Nonpharmacologic therapies are highly effective and are now considered first-line treatments. Although efficacy is variable, numerous pharmacologic interventions are available, and many options come with considerable concern about adverse effects, particularly in populations over 65 years old.

Efficacy of Cognitive Behavioral Therapy in Heart Failure Patients: A Systematic Review and Meta-Analysis

BACKGROUND

Heart failure (HF) is a global disorder affecting around 6.2 million Americans aged 20 years and above. Neurovegetative disorders are common among such patients, and depression is a major problem that affects 20% to 40% of them. Cognitive behavioral therapy (CBT) is a type of treatment that produces the most favorable results compared to other psychotherapies, especially among patients with depression and anxiety. We aim to summarize and synthesize evidence regarding the efficacy of CBT for patients with HF.

METHODS

We conducted this study by searching PubMed, Scopus, and Web of Science for relevant studies about CBT use in patients with HF. The outcomes were pooled as mean difference (MD) or standard MD with a 95% CI. The analysis was performed using the RevMan software.

RESULTS

Combined data from 9 randomized controlled trials (1070 patients) revealed that CBT can alleviate both depression symptoms in HF patients when measured using different scales after 3 months of follow-up (standard MD, -0.18 [95% CI, -0.33 to -0.02]; P = 0.03) and the quality of life after 3 and 6 months of follow-up (MD, 4.92 [95% CI, 1.14-8.71]; P = 0.01 and MD, 7.72 [95% CI, 0.77-14.68]; P = 0.03, respectively).

CONCLUSION

CBT is an effective type of psychotherapy for dealing with depression, mediocre quality of life, and defective physical functioning; therefore, it should be considered in HF patients' care.

Cognitive behavioral therapy for depression in patients with heart failure: a systematic review and metanalysis of randomized control trials

Major depression (MD) is prevalent in patients with heart failure (HF) and contributes to increased risk of hospitalization and mortality. The implementation of cognitive behavioral therapy (CBT) has become a key strategy for treating HF patients' depression. We performed a comprehensive literature search for studies that evaluated the efficacy of adjunctive CBT compared to the standard of care (SOC) in HF patients with MD. The primary outcome was the depression scale (post-intervention and by the end of follow-up). The secondary outcomes were the quality of life (QoL), self-care scores, and 6-min walk test distance(6-MW). The standardized mean difference (SMD) and corresponding 95% confidence intervals (CIs) were calculated using the random-effects model. A total of 6 RCTs with 489 patients (244 in the CBT group and 245 in the SOC group) were included. As compared to the SOC, CBT was associated with a statistically significant improvement in the post-interventional depression scale (SMD: -0.45, 95%CI: -0.69, -0.21; P < 0.01) and by the end of follow-up (SMD: -0.68, 95%CI: -0.87, -0.49; P < 0.01). Furthermore, CBT significantly improved the QoL (SMD: -0.45, 95%CI: -0.65, -0.24; P < 0.01). However, there were no differences in the self-care scores (SMD: 0.17, 95%CI: -0.08, 0.42; P = 0.18) or in 6-MW (SMD: 0.45, 95%CI: -0.39, 1.28; P = 0.29) between the two groups. According to our meta-analysis of published clinical studies, CBT may be more effective than standard therapy at enhancing depression scores and quality of life. To assess the long-term clinical effects of CBT in heart failure patients, larger and more powerful RCTs are required.

Interaction effects between sleep disorders and depression on heart failure

BACKGROUND

Sleep disorders and depression were recognized as independent risk factors for heart failure, whether their interaction effects also correlated with the risk of heart failure remains elusive. This study was to explore the interaction effects between sleep disorders and depression on the risk of heart failure.

METHODS

This was a cross-sectional study that included data from 39,636 participants in the National Health and Nutritional Examination Survey (NHANES) database. Poisson regression model was applied to evaluate the associations of depression or sleep disorders with heart failure. The relative excess risk of interaction (RERI), attributable proportion of interaction (API) and synergy index (SI) were used to measure whether the interaction effects between depression and sleep disorders on heart failure was statistically significant.

RESULTS

The risk of heart failure was increased in people with sleep disorders [risk ratio (RR) = 1.92, 95% confidence interval (CI): 1.68-2.19) after adjusting for confounders including age, gender, body mass index (BMI), race, marital status, education level, annual family income, drinking history, smoking history, diabetes, hypertension and stroke. The risk of heart failure was elevated in patients with depression after adjusting for confounders (RR = 1.96, 95%CI: 1.65-2.33). Patients with depression and sleep disorders were associated with increased risk of heart failure after adjusting for confounders (RR = 2.76, 95%CI: 2.23-3.42). The CIs of interactive indexes RERI was -0.42 (95%CI: -1.23-0.39), and API was -0.15 (95%CI: -0.46-0.16), which included 0. The CI of interactive indexes SI was 0.81 (95%CI: 0.54-1.21), which contained 1.

CONCLUSION

Depression and sleep disorders were independent risk factors for heart failure but the interaction effects between depression and sleep disorders on the occurrence of heart failure were not statistically different.

Symptom Cluster Profiles Among Adults with Insomnia and Heart Failure

OBJECTIVE/BACKGROUND

Both heart failure (HF) and insomnia are associated with high symptom burden that may be manifested in clustered symptoms. To date, studies of insomnia have focused only on its association with single symptoms. The purposes of this study were to: (1) describe daytime symptom cluster profiles in adults with insomnia and chronic HF; and (2) determine the associations between demographic and clinical characteristics, insomnia and sleep characteristics and membership in symptom cluster profiles.

PARTICIPANTS

One hundred and ninety-five participants [M age 63.0 (SD12.8); 84 (43.1%) male; 148 (75.9%) New York Heart Association Class I/II] from the HeartSleep study (NCT0266038), a randomized controlled trial of the sustained effects of cognitive behavioral therapy for insomnia (CBT-I).

METHODS

We analyzed baseline data, including daytime symptoms (fatigue, pain, anxiety, depression, dyspnea, sleepiness) and insomnia (Insomnia Severity Index), and sleep characteristics (Pittsburgh Sleep Quality Index, wrist actigraphy). We conducted latent class analysis to identify symptom cluster profiles, bivariate associations, and multinomial regression.

RESULTS

We identified three daytime symptom cluster profiles, physical (N = 73 participants; 37.4%), emotional (N = 12; 5.6%), and all-high symptoms (N = 111; 56.4%). Body mass index, beta blockers, and insomnia severity were independently associated with membership in the all-high symptom profile, compared with the other symptom profile groups.

CONCLUSIONS

Higher symptom burden is associated with more severe insomnia in people with stable HF. There is a need to understand whether treatment of insomnia improves symptom burden as reflected in transition from symptom cluster profiles reflecting higher to lower symptom burden.

Sleep and Circadian Disturbance in Cardiovascular Risk

PURPOSE OF REVIEW

We discuss the relationship between sleep and circadian factors with cardiovascular disease (CVD) risk, including physiologic, behavioral, and psychological mechanisms along this pathway.

RECENT FINDINGS

The relationship between short and long sleep duration, as well as insomnia, with CVD risk is well-established. Recent work has highlighted how other sleep factors, such as sleep regularity (i.e., consistency of sleep timing), multidimensional sleep health, and circadian factors like chronotype and social jetlag, relate to CVD risk. Sleep-focused interventions (e.g., cognitive behavioral therapy for insomnia and sleep extension) may be effective to reduce CVD risk and disease burden. Sleep is increasingly recognized as an integral component of cardiovascular health. This was underscored by the recent inclusion of sleep duration as a health behavior in the American Heart Association's Life's Essential 8 for defining optimal cardiovascular health.

Nurses’ Beliefs and Barriers of Delivering Cardiopulmonary Rehabilitation for Heart Failure Patients in Saudi Arabia: A Cross-Sectional Study

Background: Patients with heart failure (HF) may benefit greatly from cardiopulmonary rehabilitation (CR), which is provided by a team of healthcare professionals that often includes nurses. There has been no research on how nurses perceive providing CR or the hurdles that may affect referrals. Methods: All registered nurses in Saudi Arabia’s Eastern Province were given access to a cross-sectional online survey consisting of nine multiple-choice questions that address attitudes, beliefs, and barriers to CR for HF patients in Saudi Arabia. Descriptive statistics were used to characterize the respondents. Results: Altogether, 439 registered nurses participated in the online survey, with men making up 194 (44%) and women 245 (56%). The mean and SD of years of clinical experience in caring for patients with HF were 6 ± 5 years. Out of 439 nurses, 107 (24%) strongly agree, and 255 (58%) agree that CR will enhance the physical fitness of patients. However, 94 (21.1%) strongly agree, and 248 (56.4%) agree that CR might alleviate dyspnea in HF patients. The vast majority of the nurses either strongly agree (90 (20.5%)) or agree (240 (55%)), that CR would help reduce palpitations and fatigue in HF patients. Indeed, 87 (19.81%) strongly agree, and 262 (59.68%) agree that CR would help improve HF patients’ ability to perform daily activities, while 51 (11.6%) strongly agree and 223 (51%) agree that CR would help in reducing hospital readmission. It was shown that 360 (82%) of the 439 nurses favored the delivery of CR programs in hospital-supervised programs, while 368 (83.8%) ranked information on HF disease as the most important aspect of the CR program, followed by information about medications at 305 (69.4%). The availability of CR facilities (36%), the cost of therapy (35%), and the absence of an established standardized referring strategy (34%) were identified as the most significant barriers affecting the referral of patients with HF for CR by nurses. Conclusion: Generally, nurses believed CR helped improve desired clinical outcomes in HF patients. Although a hospital-based program with close supervision is optimal for administering CR, few such options exist. Referrals of patients with HF were hampered by the lack of CR facilities, the cost of intervention, and the lack of a systematic approach to referrals.

Insomnia

Insomnia is highly prevalent in clinical practice, occurring in up to 50% of primary care patients. Insomnia can present independently or alongside other medical conditions or mental health disorders and is a risk factor for the development and exacerbation of these other disorders if not treated. In 2016, the American College of Physicians recommended that insomnia be specifically targeted for treatment. The recommended first-line treatment for insomnia, whether the underlying cause has been identified or not, is cognitive behavioural therapy for insomnia (CBT-I). Currently, there is no global consensus regarding which pharmacological treatment has the best efficacy or risk-benefit ratio. Both CBT-I and pharmacological intervention are thought to have similar acute effects, but only CBT-I has shown durable long-term effects after treatment discontinuation. Administering a combined treatment of CBT-I and medication could decrease the latency to treatment response, but might diminish the durability of the positive treatment effects of CBT-I.

We know CBT-I works, now what?

Cognitive behavioral therapy for insomnia (CBT-I) has been shown to be efficacious and now is considered the first-line treatment for insomnia for both uncomplicated insomnia and insomnia that occurs comorbidly with other chronic disorders (comorbid insomnia). The purposes of this review are to provide a comprehensive summary of the efficacy data (for example, efficacy overall and by clinical and demographic considerations and by CBT-I formulation) and to discuss the future of CBT-I (for example, what next steps should be taken in terms of research, dissemination, implementation, and practice).

Factors influencing the efficiency of cellphone-based CBT for treating sleep disorders

OBJECTIVE

This survey aimed to better comprehend the factors influencing patient response to insomnia treatment.

METHODS

We conducted an online survey. A total of 1,395 patients completed the questionnaire at baseline. Insomnia, anxiety and depressive symptoms were evaluated using the Pittsburgh Sleep Quality Index (PSQI), 7-item Generalized Anxiety Disorder assessment (GAD-7) and 9-item Patient Health Questionnaire (PHQ-9), respectively. A total of 488 patients completed at least two surveys (baseline and monthly surveys thereafter) and reported that the online CBT was effective at the 1-year follow-up. The 488 patients were divided into three groups: the rapid (treatment effective at 4 weeks), intermediate (4-16 weeks), and delayed-response group (over 16 weeks).

RESULTS

Analysis of the demographic characteristics of the 488 patients did not reveal significant sex differences among the three groups (P = 0.111). However, the groups significantly differed in age (P = 0.001) and education (P = 0.006). Compared to the rapid response group, the delayed-response group had a higher mean age (P < 0.01) and a slightly lower level of education. The duration of the disorder was longer in the delayed-response group. Multivariate logistic regression showed that male sex, junior high school education, and higher PSQI were independent risk factors for the delayed response to treatment.

CONCLUSION

Many factors affected the efficiency of insomnia treatment. Male sex, junior school education, and a high PSQI score predicted delayed response to insomnia treatment.

Cognitive Behavioral Therapy for Insomnia has sustained effects on insomnia, fatigue, and function among people with chronic heart failure and insomnia: The HeartSleep Study

STUDY OBJECTIVES

Insomnia is common among adults with chronic heart failure (HF) and associated with daytime symptoms and decrements in function. The purpose of this randomized controlled trial (RCT) was to evaluate the sustained effects over one year of CBT-I (Healthy Sleep: HS) compared with HF self-management education (Healthy Hearts; attention control: HH) on insomnia severity, sleep characteristics, symptoms, and function among people with stable HF. The primary outcomes were insomnia severity, actigraph-recorded sleep efficiency, and fatigue.

METHODS

We randomized adults with stable HF with preserved or reduced ejection fraction who had at least mild insomnia (Insomnia severity index >7) in groups to HS or HH (4 sessions/8 weeks). We obtained wrist actigraphy and measured insomnia severity, self-reported sleep characteristics, symptoms (fatigue, excessive daytime sleepiness, anxiety, depression), and six-minute walk distance at baseline, within one month of treatment, and at 6 and 12 months. We used general linear mixed models (GLMM) and generalized estimating equations (GEE) to evaluate the effects.

RESULTS

The sample included 175 participants (M age = 63 +12.9 years; 43% women; 18% Black; 68% New York Heart Association Class II or II; 33%; LVEF < 45%) randomized to HS (n = 91) or HH (N = 84). HS had sustained effects on insomnia severity, sleep quality, self-reported sleep latency and efficiency, fatigue, excessive daytime sleepiness, and six-minute walk distance at 12 months.

CONCLUSIONS

CBT-I produced sustained improvements in insomnia, fatigue, daytime sleepiness, and objectively measured physical function among adults with chronic HF, compared with a robust HF self-management program that included sleep hygiene education.

Cognitive Behavioral Therapy in Adolescents with Type 1 Diabetes: An Integrative Review

PROBLEM

Type 1 Diabetes (T1D) is a complex chronic condition that impacts physiologic and psychosocial outcomes in adolescents. Adolescents with T1D experience anxiety and depressive symptoms at 2 to 3 times the rate of the general adolescent population. Anxiety and depressive symptoms negatively impact disease management. Cognitive behavioral therapy (CBT) is considered the gold standard therapeutic technique for treating anxiety and depressive symptoms. The aim of this integrative review was to examine and synthesize the extant literature exploring the effect of CBT on physiologic and psychosocial outcomes in adolescents with T1D.

ELIGIBILITY CRITERIA

Electronic databases were searched with the terms "type 1 diabetes" and "cognitive behavioral therapy." Studies were included if they were published between 2000 and 2020, evaluated a pediatric population (≤18 years of age), and included individuals with diagnosed T1D.

SAMPLE

475 articles were identified in our initial search, and after removal of duplicates 353 articles remained. 339 did not meet inclusion criteria. A total of 14 papers met inclusion criteria.

RESULTS

All studies included CBT, but differed in delivery methods. Several studies demonstrated evidence of the feasibility and acceptability; however, there were mixed results regarding improvement of physiologic and psychosocial outcomes.

CONCLUSIONS

CBT is a feasible and acceptable intervention in adolescents with T1D. It may be a method of improving psychologic and psychosocial outcomes for this high-risk population.

IMPLICATIONS

In adolescents with T1D, screening and treatment for psychosocial comorbidities should occur regularly at endocrinology visits. CBT can be operationalized to fill this gap.

Relationship between the fear of COVID-19 disease and sleep quality: the mediating role of stress

The whole world almost came to a standstill due to the COVID-19 pandemic. In response to this pandemic, most psychological responses have been at a higher prevalence such as stress, anxiety, depression, lower mental well-being, poor sleep quality, along with the fear of contracting the COVID-19 disease. Related to these psychological responses, previous studies have suggested an association between COVID-19 fear and stress as well as stress and sleep quality. The present study aimed to assess the association between COVID-19 fear and sleep quality and investigate the possible mediating effect of perceived stress during this pandemic. The data were collected, utilizing a self-report online questionnaire, from a sample of 521 Bangladeshi adults. Results showed significant gender differences in COVID-19 fear, stress, and sleep quality and also a significant association between these variables. Mediation results revealed that stress fully mediated the association between COVID-19 fear and sleep quality for males and partially mediated it for females. These results suggest that women are in a more vulnerable position in this pandemic. These findings would be helpful to mental health professionals and policy makers to address the psychological problems induced by the current pandemic.

Neurohumoral, cardiac and inflammatory markers in the evaluation of heart failure severity and progression

Heart failure is common in adult population, accounting for substantial morbidity and mortality worldwide. The main risk factors for heart failure are coronary artery disease, hypertension, obesity, diabetes mellitus, chronic pulmonary diseases, family history of cardiovascular diseases, cardiotoxic therapy. The main factor associated with poor outcome of these patients is constant progression of heart failure. In the current review we present evidence on the role of established and candidate neurohumoral biomarkers for heart failure progression management and diagnostics. A growing number of biomarkers have been proposed as potentially useful in heart failure patients, but not one of them still resembles the characteristics of the “ideal biomarker.” A single marker will hardly perform well for screening, diagnostic, prognostic, and therapeutic management purposes. Moreover, the pathophysiological and clinical significance of biomarkers may depend on the presentation, stage, and severity of the disease. The authors cover main classification of heart failure phenotypes, based on the measurement of left ventricular ejection fraction, including heart failure with preserved ejection fraction, heart failure with reduced ejection fraction, and the recently proposed category heart failure with mid-range ejection fraction. One could envisage specific sets of biomarker with different performances in heart failure progression with different left ventricular ejection fraction especially as concerns prediction of the future course of the disease and of left ventricular adverse/reverse remodeling. This article is intended to provide an overview of basic and additional mechanisms of heart failure progression will contribute to a more comprehensive knowledge of the disease pathogenesis.

Perceived Stress, Subjective, and Objective Symptoms of Disturbed Sleep in Men and Women with Stable Heart Failure

Objective/Background: Sleep disturbance is prevalent among patients with heart failure (HF) and is associated with increased morbidity and mortality. Stress also affects health and quality of life among patients with cardiovascular disease and likely plays a prominent role in HF. However, little is known about the associations between stress and sleep among HF patients.Participants: One hundred fifty-three stable New York Heart Association (NYHA) Classification I-IV HF patients with at least low symptoms of insomnia (M_age:63.0 ± 12.8, 42% Women).Methods: We examined baseline stress, sleep disturbance, and sleep-related characteristics from a randomized controlled trial of cognitive behavioral therapy for insomnia, including the Perceived Stress Scale, Insomnia Severity Index, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, Sleep Disturbance Questionnaire, Dysfunctional Beliefs about Sleep Scale, PROMIS Cognitive Ability, SF-36 Mental Health, and wrist actigraphy. We used Pearson correlations and general linear models to assess stress-sleep associations, including the potential moderating effects of sex and symptom severity (NYHA).Results: There were moderate-to-large correlations between stress and self-reported sleep disturbance, dysfunctional beliefs about sleep, cognitive ability, and mental health (p's < 0.01). High stress was associated with more objectively-measured (i.e., actigraph-assessed) awakenings and sleep fragmentation among women than men (β = - 0.04, p < 0.01; β = - 0.71, p = 0.04). Relationships between stress and objectively-measured sleep did not vary by symptom severity.Conclusions: Perceived stress is related to sleep disturbance among HF patients, and effects may be sex-dependent. Subsequent research should determine the temporal links between sleep and stress, and optimal opportunities for intervention among HF patients.

Insomnia and Insomnia Symptoms in Persons With Heart Failure: An Integrative Review

BACKGROUND/OBJECTIVE

Insomnia and insomnia symptoms are highly prevalent in persons with heart failure (HF), and they are associated with several untoward outcomes. The purpose of this integrative review is to describe the correlates, predictors, and outcomes of insomnia and insomnia symptoms in persons with HF.

METHODS

Using integrative review methods, an extensive electronic search of 5 databases was conducted for the period of 2000-2019. Sixteen studies were identified that met the inclusion criteria for review and investigated insomnia or insomnia symptoms in HF.

RESULTS

Various sociodemographic factors, chronic comorbidities, clinical factors, and cognitive-behavioral factors are correlates and predictors of insomnia and insomnia symptoms in persons with HF. Depression, fatigue, daytime sleepiness, poor self-reported physical functioning, decreased exercise capacity, cardiac events, and poor health-related quality of life are significant outcomes of insomnia and insomnia symptoms in persons with HF. The associations of insomnia and insomnia symptoms with age, sex, sleep-disordered breathing, and cognition were not consistent across all studies.

CONCLUSION

Larger studies with diverse age and race groups as well as longitudinal studies and designs that test mediation effects are needed to disentangle complex relationships between insomnia and insomnia symptoms and several of their potential predictors and correlates in HF.

Pearl powder reduces sleep disturbance stress response through regulating proteomics in a rat model of sleep deprivation

Aims

This study aimed to explore whether pearl could help prevent cognitional morbidity and improve the metabolic processes of hippocampus.

Methods

Rats were divided into group of control (CTL), sleep deprivation (SD) and pearl powder (PP). The sleeplessness was introduced to all rats except control. Before and after administration with vehicle or pearl powder, cognition was evaluated by Morris water maze (MWM). The protein expression in hippocampus among all groups was examined using iTRAQ‐based global proteomic analysis.

Results

Morris water maze tests revealed improvements of insomnia‐induced cognitive deficit in both PP‐ and ES‐treated rats, as compared to SD rats. However, proteomic analysis indicates that the pharmacological impact on gene expression of these two medicines is quite different: pearl is more capable of correcting aberrant gene expression caused by SD than estazolam. Therefore, pearl is more suitable for treatment of insomnia. These data, together with protein‐protein interaction analysis, indicate that several pathways, affected by sleep deprivation, may be rescued by pearl powder: retrograde endocannabinoid signalling pathway, and the protein interaction or network enrich in oxidative phosphorylation Parkinson's disease and Huntington disease, etc

Conclusions

Sleep deprivation can mimic cognition decline caused by insomnia with altered protein expression in the hippocampus; such behavioural and pathological changes can be significantly ameliorated by pearl powder.

Short Sleep, Insomnia, and Cardiovascular Disease

PURPOSE OF REVIEW

This review summarizes key findings linking insomnia, short sleep duration, and cardiovascular health.

RECENT FINDINGS

Early studies associations between insomnia with short sleep and cardiovascular disease Recent studies have incorporated objective data to assess sleep and identify comorbid sleep disorders (e.g. sleep apnea). Use of objective metrics has facilitated understanding of the impacts of insufficient sleep on autonomic dysregulation, metabolic syndrome, coronary artery disease and overall cardiovascular mortality. Emerging research suggests treatment of insomnia (CBT-I) may be beneficial in terms of reducing cardiovascular disease risk.

SUMMARY

From short term effects on the autonomic nervous system to lasting effects on metabolic syndrome and coronary artery disease, there is growing evidence to support a physiologic pathway by which insomnia with short sleep contributes to cardiovascular disease. More research is needed to understand the effect of insomnia treatment on cardiovascular risk.

Common pathways and communication between the brain and heart: connecting post-traumatic stress disorder and heart failure

Psychiatric illnesses and cardiovascular disease (CVD) contribute to significant overall morbidity, mortality, and health care costs, and are predicted to reach epidemic proportions with the aging population. Within the Veterans Administration (VA) health care system, psychiatric illnesses such as post-traumatic stress disorder (PTSD) and CVD such as heart failure (HF), are leading causes of hospital admissions, prolonged hospital stays, and resource utilization. Numerous studies have demonstrated associations between PTSD symptoms and CVD endpoints, particularly in the Veteran population. Not only does PTSD increase the risk of HF, but this relationship is bi-directional. Accordingly, a VA-sponsored conference entitled "Cardiovascular Comorbidities in PTSD: The Brain-Heart Consortium" was convened to explore potential relationships and common biological pathways between PTSD and HF. The conference was framed around the hypothesis that specific common systems are dysregulated in both PTSD and HF, resulting in a synergistic acceleration and amplification of both disease processes. The conference was not intended to identify all independent pathways that give rise to PTSD and HF, but rather identify shared systems, pathways, and biological mediators that would be modifiable in both disease processes. The results from this conference identified specific endocrine, autonomic, immune, structural, genetic, and physiological changes that may contribute to shared PTSD-CVD pathophysiology and could represent unique opportunities to develop therapies for both PTSD and HF. Some recommendations from the group for future research opportunities are provided.

Efficacy of Cognitive Behavioral Therapy for Heart Failure

Cognitive behavioral therapy has emerged as an important approach to alleviate the depression of patients with heart failure. However, the use of cognitive behavioral therapy for heart failure has not been well established. We conduct a systematic review and meta-analysis to evaluate the efficacy of cognitive behavioral therapy for alleviating depression for heart failure.PubMed, Embase, and the Cochrane Central Register of Controlled Trials are searched. Randomized controlled trials (RCTs) assessing the influence of cognitive behavioral therapy on heart failure are included. Two investigators independently have searched articles, extracted data, and assessed the quality of included studies. Meta-analysis is performed using the random-effect model.Eight RCTs involving 480 patients are included in the meta-analysis. Compared with control intervention for heart failure, cognitive behavioral therapy can substantially decrease depression scale (Std. MD = -0.27; 95% CI = -0.47 to -0.06; P = 0.01), but has no substantial influence on the quality of life (Std. MD = 0.21; 95% CI = -0.01 to 0.42; P = 0.06), self-care scores (Std. MD = 0.12; 95% CI = -0.18 to 0.42; P = 0.44), and 6-minute walk test distance (Std. MD = 0; 95% CI = -0.28 to 0.28; P = 0.99).Cognitive behavioral therapy is associated with significantly decreased depression scale, but with no substantial impact on the quality of life, self-care scores, and 6-minute walk test distance for heart failure.