Mindfulness as a moderator of coping response and the Abstinence Violation Effect : a test of the role of mindfulness in the Relapse Prevention Model for exercise.

The importance of physical activity in preventing disease and promoting health is increasingly evident in health outcomes research. Although most adults in the U.S. have initiated exercise programs at some point in their lives, research suggests that they have difficulty maintaining beneficial levels of physical activity and exercise. With escalating rates of obesity and physical inactivity, the importance of understanding processes by which individuals engage in and maintain physical activity cannot be understated. The Relapse Prevention Model (RPM), developed for use with addiction, has been successfully used to explore factors associated with exercise drop-out, or exercise relapse . In the current study, relationships between constructs of the RPM were examined and the role of mindfulness in moderating these relationships was evaluated using retrospective recall of exercise. In this cross-sectional study, static constructs were used as proxies for the situationally defined constructs of the RPM and the sequelae of high-risk situations for exercise lapse. Mindfulness was predicted to moderate the relationships between vulnerability to relapse and coping response, and between slip frequency and the Abstinence Violation Effect (AVE) in lapsers, such that individuals who were higher in mindfulness would endorse more effective coping strategies and lower AVE. The findings of this study suggest that mindfulness may be associated with better exercise outcomes, that less mindful community exercisers may use certain ineffective coping strategies more often, and that mindfulness may buffer the relationship between missed exercise sessions and the AVE. Future research on the role of mindfulness in exercise is recommended using prospective assessment methodologies and longitudinal design

Prevalence of and characteristics associated with insomnia and obstructive sleep apnea among veterans with knee and hip osteoarthritis

Abstract Background Few studies have examined patterns of specific sleep problems among individuals with osteoarthritis (OA). The primary objective of this study was to examine prevalence of symptoms of insomnia and obstructive sleep apnea (OSA) among Veterans with OA. Secondary objectives were to assess proportions of individuals with insomnia and OSA symptoms who may have been undiagnosed and to examine Veterans’ characteristics associated with insomnia and OSA symptoms. Methods Veterans (n = 300) enrolled in a clinical trial completed the Insomnia Severity Index (ISI) and the Berlin Questionnaire (BQ) at baseline; proportions of participants with symptoms consistent with insomnia and OSA were calculated, using standard cut-offs for ISI and BQ. For Veterans with insomnia and OSA symptoms, electronic medical records were searched to identify whether there was a diagnosis code for these conditions. Multivariable linear (ISI) and logistic (BQ) regression models examined associations of the following characteristics with symptoms of insomnia and OSA: age, gender, race, self-reported general health, body mass index (BMI), diagnosis of post-traumatic stress disorder (PTSD), pain severity, depressive symptoms, number of joints with arthritis symptoms and opioid use. Results Symptoms consistent with insomnia and OSA were found in 53 and 66% of this sample, respectively. Among participants screening positive for insomnia and OSA, diagnosis codes for these disorders were present in the electronic medical record for 22 and 51%, respectively. Characteristics associated with insomnia were lower age (β (SE) = − 0.09 (0.04), 95% confidence interval [CI] = − 0.16, − 0.02), having a PTSD diagnosis (β (SE) = 1.68 (0.73), CI = 0.25, 3.11), greater pain severity (β (SE) = 0.36 (0.09), CI = 0.17, 0.55), and greater depressive symptoms (β (SE) = 0.84 (0.07), CI = 0.70, 0.98). Characteristics associated with OSA were higher BMI (odds ratio [OR] = 1.13, CI = 1.06, 1.21), greater depressive symptoms (OR = 1.12, CI = 1.05, 1.20), and opioid use (OR = 0.51, CI = 0.26, 0.99). Conclusions Insomnia and OSA symptoms were very common in Veterans with OA, and a substantial proportion of individuals with symptoms may have been undiagnosed. Characteristics associated with insomnia and OSA symptoms were consistent with prior studies. Trial registration NCT01130740

Refined histopathological predictors of BRCA1 and BRCA2 mutation status: A large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia

Introduction: The distribution of histopathological features of invasive breast tumors in BRCA1 or BRCA2 germline mutation carriers differs from that of individuals with no known mutation. Histopathological features thus have utility for mutation prediction, including statistical modeling to assess pathogenicity of BRCA1 or BRCA2 variants of uncertain clinical significance. We analyzed large pathology datasets accrued by the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC) to reassess histopathological predictors of BRCA1 and BRCA2 mutation status, and provide robust likelihood ratio (LR) estimates for statistical modeling. Methods: Selection criteria for study/center inclusion were estrogen receptor (ER) status or grade data available for invasive breast cancer diagnosed younger than 70 years. The dataset included 4,477 BRCA1 mutation carriers, 2,565 BRCA2 mutation carriers, and 47,565 BCAC breast cancer cases. Country-stratified estimates of the

Refined histopathological predictors of BRCA1 and BRCA2 mutation status : a large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia

Abstract Introduction The distribution of histopathological features of invasive breast tumors in BRCA1 or BRCA2 germline mutation carriers differs from that of individuals with no known mutation. Histopathological features thus have utility for mutation prediction, including statistical modeling to assess pathogenicity of BRCA1 or BRCA2 variants of uncertain clinical significance. We analyzed large pathology datasets accrued by the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and the Breast Cancer Association Consortium (BCAC) to reassess histopathological predictors of BRCA1 and BRCA2 mutation status, and provide robust likelihood ratio (LR) estimates for statistical modeling. Methods Selection criteria for study/center inclusion were estrogen receptor (ER) status or grade data available for invasive breast cancer diagnosed younger than 70 years. The dataset included 4,477 BRCA1 mutation carriers, 2,565 BRCA2 mutation carriers, and 47,565 BCAC breast cancer cases. Country-stratified estimates of the likelihood of mutation status by histopathological markers were derived using a Mantel-Haenszel approach. Results ER-positive phenotype negatively predicted BRCA1 mutation status, irrespective of grade (LRs from 0.08 to 0.90). ER-negative grade 3 histopathology was more predictive of positive BRCA1 mutation status in women 50 years or older (LR = 4.13 (3.70 to 4.62)) versus younger than 50 years (LR = 3.16 (2.96 to 3.37)). For BRCA2, ER-positive grade 3 phenotype modestly predicted positive mutation status irrespective of age (LR = 1.7-fold), whereas ER-negative grade 3 features modestly predicted positive mutation status at 50 years or older (LR = 1.54 (1.27 to 1.88)). Triple-negative tumor status was highly predictive of BRCA1 mutation status for women younger than 50 years (LR = 3.73 (3.43 to 4.05)) and 50 years or older (LR = 4.41 (3.86 to 5.04)), and modestly predictive of positive BRCA2 mutation status in women 50 years or older (LR = 1.79 (1.42 to 2.24)). Conclusions These results refine likelihood-ratio estimates for predicting BRCA1 and BRCA2 mutation status by using commonly measured histopathological features. Age at diagnosis is an important variable for most analyses, and grade is more informative than ER status for BRCA2 mutation carrier prediction. The estimates will improve BRCA1 and BRCA2 variant classification and inform patient mutation testing and clinical management

Genome-wide association study of germline variants and breast cancer-specific mortality

BACKGROUND: We examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry. METHODS: Meta-analyses included summary estimates based on Cox models of twelve datasets using ~10

The Veterans Administration and Department of Defense clinical practice guidelines for the diagnosis and management of sleep disorders: what does this mean for the practice of sleep medicine?

In 2017 the Veterans Administration (VA) and Department of Defense (DOD) launched development of clinical practice guidelines (CPGs) for the diagnosis and treatment of sleep disorders, with the goal of informing and improving patient care. The guideline development process followed GRADE methodology, considering studies and systematic reviews published over the 10-year period prior to guideline development. A total of 41 recommendations were made,18 related to the diagnosis and treatment of obstructive sleep apnea (OSA) and 23 regarding chronic insomnia disorder. In contrast to other published guidelines, the VA DoD CPGs provide a comprehensive approach to diagnosis and management of the two most common sleep disorders, including a discussion of the sequencing of diagnostic approaches and treatment options. Regarding OSA, strong recommendations were made for follow-up evaluation after non-diagnostic home sleep apnea tests, positive airway pressure therapy as first-line treatment, and the incorporation of supportive, educational and behavioral interventions for patients at high risk for PAP therapy non-adherence due to comorbid conditions. Strong recommendations were also made for the use of cognitive-behavioral therapy for insomnia and against the use of kava (an herbal supplement) in the treatment of chronic insomnia disorder. These guidelines, while intended to directly inform care within VA and DOD, are broadly relevant to the practice of sleep medicine. The majority of scientific evidence was based on studies of non-military, non-veteran populations. The CPG is a major milestone for the VA and DOD in recognizing the importance of evidence-based treatments for sleep disorders in military personnel and veterans

Prevalence Rates and Correlates of Insomnia Disorder in Post-9/11 Veterans Enrolling in VA Healthcare

Study objectivesPost-9/11 veterans are particularly vulnerable to insomnia disorder. Having accurate prevalence rates of insomnia disorder in this relatively young, diverse population, is vital to determine the resources needed to identify and treat insomnia disorder. However, there are no accurate prevalence rates for insomnia disorder in post-9/11 veterans enrolling in the VA Healthcare System (VHA). We present accurate prevalence of insomnia disorder, and correlates, in a large sample of post-9/11 veterans enrolling in a VHA.MethodsThis was an observational study of 5,552 post-9/11 veterans newly enrolling for health care in a VHA. Data were collected using VA eScreening. Insomnia diagnosis was determined using a clinical cutoff score of ≥ 11 on the Insomnia Severity Index. Measures also included sociodemographic, service history, posttraumatic stress disorder (PTSD), depression, suicidal ideation, alcohol misuse, military sexual trauma, traumatic brain injury (TBI), and pain intensity.ResultsAbout 57.2% of the sample population had insomnia disorder. Our sample was nationally representative for age, sex, ethnicity, branch of the military, and race. The sample also was at high-risk for a host of clinical disorders, including PTSD, TBI, and pain; all of which showed higher rates of insomnia disorder (93.3%, 77.7%, and 69.6%, respectively).ConclusionsThe findings suggest alarmingly high rates of insomnia disorder in this population. Examining and treating insomnia disorder, especially in the context of co-occurring disorders (e.g. PTSD), will be a necessity in the future

Cognitive behavior therapy for insomnia for untreated hypertension with comorbid insomnia disorder: The SLEEPRIGHT clinical trial

Abstract Insomnia and poor sleep are associated with an increased risk of developing cardiovascular disease (CVD) and its precursors, including hypertension. In 2022, the American Heart Association (AHA) added inadequate sleep to its list of health behaviors that increase the risk for CVD. It remains unknown, however, whether the successful treatment of insomnia and inadequate sleep can reduce heightened CVD risk. SLEEPRIGHT is a single‐site, prospective clinical trial designed to evaluate whether the successful treatment of insomnia results in improved markers of CVD risk in patients with untreated hypertension and comorbid insomnia disorder. Participants (N = 150) will undergo baseline assessments, followed by a 6‐week run‐in period after which they will receive cognitive behavior therapy for insomnia (CBT‐I), comprised of 6 hourly sessions with an experienced CBT‐I therapist over a 6‐week period. In addition to measures of insomnia severity, as well as both subjective and objective measures of sleep, the primary outcome measures are nighttime blood pressure (BP) and BP dipping assessed by 24‐h ambulatory BP monitoring (ABPM). Secondary outcomes include several CVD risk biomarkers, including clinic BP, lipid profile, vascular endothelial function, arterial stiffness, and sympathetic nervous system (SNS) activity. Data analysis will evaluate the association between improvements in insomnia and sleep with primary and secondary CVD risk biomarker outcomes. The SLEEPRIGHT trial (ClinicalTrials.Gov NCT04009447) will utilize CBT‐I, the current gold standard treatment for insomnia disorder, to evaluate whether reducing insomnia severity and improving sleep are accompanied by improved biomarkers of CVD risk in patients with untreated hypertension

Prevalence of and characteristics associated with insomnia and obstructive sleep apnea among veterans with knee and hip osteoarthritis

Abstract Background Few studies have examined patterns of specific sleep problems among individuals with osteoarthritis (OA). The primary objective of this study was to examine prevalence of symptoms of insomnia and obstructive sleep apnea (OSA) among Veterans with OA. Secondary objectives were to assess proportions of individuals with insomnia and OSA symptoms who may have been undiagnosed and to examine Veterans’ characteristics associated with insomnia and OSA symptoms. Methods Veterans (n = 300) enrolled in a clinical trial completed the Insomnia Severity Index (ISI) and the Berlin Questionnaire (BQ) at baseline; proportions of participants with symptoms consistent with insomnia and OSA were calculated, using standard cut-offs for ISI and BQ. For Veterans with insomnia and OSA symptoms, electronic medical records were searched to identify whether there was a diagnosis code for these conditions. Multivariable linear (ISI) and logistic (BQ) regression models examined associations of the following characteristics with symptoms of insomnia and OSA: age, gender, race, self-reported general health, body mass index (BMI), diagnosis of post-traumatic stress disorder (PTSD), pain severity, depressive symptoms, number of joints with arthritis symptoms and opioid use. Results Symptoms consistent with insomnia and OSA were found in 53 and 66% of this sample, respectively. Among participants screening positive for insomnia and OSA, diagnosis codes for these disorders were present in the electronic medical record for 22 and 51%, respectively. Characteristics associated with insomnia were lower age (β (SE) = − 0.09 (0.04), 95% confidence interval [CI] = − 0.16, − 0.02), having a PTSD diagnosis (β (SE) = 1.68 (0.73), CI = 0.25, 3.11), greater pain severity (β (SE) = 0.36 (0.09), CI = 0.17, 0.55), and greater depressive symptoms (β (SE) = 0.84 (0.07), CI = 0.70, 0.98). Characteristics associated with OSA were higher BMI (odds ratio [OR] = 1.13, CI = 1.06, 1.21), greater depressive symptoms (OR = 1.12, CI = 1.05, 1.20), and opioid use (OR = 0.51, CI = 0.26, 0.99). Conclusions Insomnia and OSA symptoms were very common in Veterans with OA, and a substantial proportion of individuals with symptoms may have been undiagnosed. Characteristics associated with insomnia and OSA symptoms were consistent with prior studies. Trial registration NCT01130740

Sleep Disturbance, Diabetes, and Cardiovascular Disease in Postmenopausal Veteran Women.

Purpose of the studyTo compare the prevalence and cardiometabolic health impact of sleep disturbance among postmenopausal Veteran and non-Veteran participants in the Women's Health Initiative (WHI).Design and methodsThe prevalence of five categories of sleep disturbance--medication/alcohol use for sleep; risk for insomnia; risk for sleep disordered breathing [SDB]; risk for comorbid insomnia and SDB (insomnia + SDB); and aberrant sleep duration [SLD]--was compared in 3,707 Veterans and 141,354 non-Veterans using logistic or multinomial regression. Cox proportional hazards models were used to evaluate the association of sleep disturbance and incident cardiovascular disease (CVD) and Type 2 diabetes in Veterans and non-Veterans.ResultsWomen Veterans were more likely to have high risk for insomnia + SDB relative to non-Veteran participants. However, prevalence of other forms of sleep disturbance was similar across groups. Baseline sleep disturbance was not differentially associated with cardiometabolic health outcomes in Veteran versus non-Veteran women. Risks for SDB and insomnia + SDB were both linked to heightened risk of CVD and diabetes; SLD was consistently linked with greater risk of CVD and diabetes in non-Veterans but less strongly and consistently in Veterans.ImplicationsEfforts to identify and treat sleep disturbances in postmenopausal women are needed and may positively contribute to the attenuation of cardiometabolic morbidity risk. Increased awareness of women Veterans' vulnerability to postmenopausal insomnia + SDB may be particularly important for health care providers who treat this population