Effects of Daily Posttraumatic Stress Disorder Symptoms on Heart Rate Variability.

OBJECTIVE: Posttraumatic stress disorder (PTSD) is common, debilitating, and associated with an increased risk of health problems, including cardiovascular disease. PTSD is related to poor autonomic function indicated by reduced heart rate variability (HRV). However, very little work has tested the timescale or direction of these effects, given that most evidence comes from cross-sectional studies. Documentation of when effects occur and in what direction can shed light on mechanisms of cardiovascular disease risk and inform treatment. The present study of 169 World Trade Center responders, oversampled for PTSD, tested how daily PTSD symptoms were associated with autonomic function as reflected through HRV. METHODS: Participants ( N = 169) completed surveys of PTSD symptoms three times a day at 5-hour intervals for 4 days while also wearing ambulatory monitors to record electrocardiograms to derive HRV (i.e., mean absolute value of successive differences between beat-to-beat intervals). RESULTS: HRV did not predict PTSD symptoms. However, PTSD symptoms during a 5-hour interval predicted reduced HRV at the next 5-hour interval ( ß = -0.09, 95% confidence interval = -0.16 to -0.02, p = .008). Results held adjusting for baseline age, current heart problems, and current PTSD diagnosis. CONCLUSIONS: Findings underscore growing awareness that PTSD symptoms are not static. Even their short-term fluctuations may affect cardiovascular functioning, which could have more severe impacts if disruption accumulates over time. Research is needed to determine if momentary interventions can halt increases in PTSD symptoms or mitigate their impact on cardiovascular health.

Prospective Bidirectional Relationship Between Sleep Duration and Posttraumatic Stress Disorder Symptoms After Suspected Acute Coronary Syndrome.

OBJECTIVE: Sleep disturbance is a "hallmark" symptom of posttraumatic stress disorder (PTSD). Poor sleep (including short sleep) after combat-related trauma can also predict subsequent PTSD. Less is known about the association between sleep duration and PTSD symptoms when PTSD is induced by acute coronary syndrome (ACS). We examined the bidirectional relationship between sleep duration and PTSD symptoms over the year after hospital evaluation for ACS. METHODS: Participants were enrolled in this observational study after emergency department evaluation for ACS. Sleep duration ("During the past month, how many hours of actual sleep did you get at night?") and cardiac event or hospitalization-induced PTSD symptoms (PTSD Checklist) were assessed at 1, 6, and 12 months after hospital discharge. Cross-lagged path analysis was used to model the effects of sleep duration and PTSD symptoms on each other. Covariates included age, sex, race/ethnicity, cardiac severity, baseline depression symptoms, and early acute stress disorder symptoms. RESULTS: The sample included 1145 participants; 16% screened positive for probable PTSD (PTSD Checklist score ≥33). Mean sleep duration across time points was 6.1 hours. Higher PTSD symptoms predicted shorter sleep duration at the next time point (i.e., 1-6 and 6-12 months; B = -0.14 hours/10-point difference, SE = 0.03, p < .001). Shorter sleep duration was associated with higher PTSD symptoms at the next time point (B = -0.25 points/hour, SE = 0.12, p = .04). CONCLUSIONS: Short sleep duration and PTSD symptoms are mutually reinforcing across the first year after ACS evaluation. Findings suggest that sleep, PTSD symptoms, and their relationship should be considered in the post-ACS period.

Use of a Single-Item Ecological Momentary Assessment to Measure Daily Exercise: Agreement with Accelerometer-Measured Exercise.

Accelerometers have been used to objectively quantify physical activity, but they can pose a high burden. This study was conducted to determine the feasibility of using a single-item smartphone-based ecological momentary assessment (EMA) in lieu of accelerometers in long-term assessment of daily exercise. Data were collected from a randomized controlled trial of intermittently exercising, otherwise healthy adults (N = 79; 57% female, mean age: 31.9 ± 9.5 years) over 365 days. Smartphone-based EMA self-reports of exercise entailed daily end-of-day responses about physical activity; the participants also wore a Fitbit device to measure physical activity. The Kappa statistic was used to quantify the agreement between accelerometer-determined (24 min of moderate-to-vigorous physical activity [MVPA] within 30 min) and self-reported exercise. Possible demographic predictors of agreement were assessed. Participants provided an average of 164 ± 87 days of complete data. The average within-person Kappa was κ = 0.30 ± 0.22 (range: -0.15-0.73). Mean Kappa ranged from 0.16 to 0.30 when the accelerometer-based definition of an exercise bout varied in duration from 15 to 30 min of MVPA within any 30 min period. Among the correlates examined, sex was significantly associated with agreement; mean agreement was higher among women (κ = 0.37) than men (κ = 0.20). Agreement between EMA self-reported and accelerometer-measured exercise was fair, suggesting that long-term exercise monitoring through a single-item EMA may be acceptable.

The Perceived Stress Scale as a Measure of Stress: Decomposing Score Variance in Longitudinal Behavioral Medicine Studies.

BACKGROUND: The Perceived Stress Scale (PSS) is a widely used measure designed to assess perceptions of recent stress. However, it is unclear to what extent the construct assessed by the PSS represents factors that are stable versus variable within individuals, and how these components might vary over time. PURPOSE: Determine the degree to which variability in repeated PSS assessments is attributable to between-person versus within-person variance in two different studies and populations. METHODS: Secondary analyses utilized data from two studies with up to 13 PSS assessments: An observational study of 127 patients with heart failure followed over 39 months (Study 1), and an experimental study of 73 younger, healthy adults followed over 12 months (Study 2). Multilevel linear mixed modeling was used to estimate sources of variance in the PSS total and subscale scores across assessments. RESULTS: Between-person variance accounted for a large proportion of the total variance in PSS total scores in Study 1 (42.3%) and Study 2 (51.1%); within-person variance comprised the remainder. Between-person variance was higher for shorter assessment periods (e.g., 1 week), and was comparable when examining only the first 12 months of assessments in each study (52.9% vs. 51.1%). CONCLUSIONS: Within two samples differing in age and health status, between-person variance accounted for approximately half of the total variation in PSS scores over time. While within-person variance was observed, the construct assessed by the PSS may substantially reflect a more stable characteristic of how an individual perceives stressful life circumstances than previously appreciated.

The Perceived Stress Scale (PSS) is a widely used questionnaire designed to assess how an individual perceives recent stress in their life. It is unclear, however, the degree to which the PSS is measuring factors that are consistent within individuals versus those that fluctuate, and how these components might change when the PSS is administered repeatedly over time. To address this knowledge gap, data from two studies were used­a study of 137 patients with heart failure followed for 39 months and a study of 73 younger, healthy adults followed for 12 months. In each, participants completed up to 13 PSS assessments, with 2,880 total PSS assessments completed across the studies. Multilevel linear mixed modeling was used to examine sources of score variance across assessments. Between-person variance (i.e., score variability that is relatively stable over time but differs between individuals) accounted for approximately half of the total variation in PSS scores over time, and was higher over shorter assessment periods. While within-person variance was observed (i.e., score variability that fluctuates within the same individual over time), these results suggest that the PSS may assess a substantially more stable characteristic of how an individual perceives stressful life circumstances than previously appreciated.

Anhedonic Depression Is Not Associated With Risk of Recurrent Major Adverse Cardiac Events and All-Cause Mortality in Acute Coronary Syndrome Patients.

BACKGROUND: Depression after acute coronary syndrome (ACS) is common and increases risks of adverse outcomes, but it remains unclear which depression features are most associated with major adverse cardiac events (MACE) and all-cause mortality (ACM). PURPOSE: To examine whether a subtype of depression characterized by anhedonia and major depressive disorder (MDD) predicts 1-year MACE/ACM occurrence in ACS patients compared to no MDD history. We also consider other depression features in the literature as predictors. METHODS: Patients (N = 1,087) presenting to a hospital with ACS completed a self-report measure of current depressive symptoms in-hospital and a diagnostic interview assessing MDD within 1 week post-hospitalization. MACE/ACM events were assessed at 1-, 6-, and 12-month follow-ups. Cox regression models were used to examine the association of the anhedonic depression subtype and MDD without anhedonia with time to MACE/ACM, adjusting for sociodemographic and clinical covariates. RESULTS: There were 142 MACE/ACM events over the 12-month follow-up. The 1-year MACE/ACM in patients with anhedonic depression, compared to those with no MDD, was somewhat higher in an age-adjusted model (hazard ratio [HR] = 1.63, p = .08), but was not significant after further covariate adjustment (HR = 1.24, p = .47). Of the additional depression features, moderate-to-severe self-reported depressive symptoms significantly predicted the risk of MACE/ACM, even in covariate-adjusted models (HR = 1.72, p = .04), but the continuous measure of self-reported depressive symptoms did not. CONCLUSION: The anhedonic depression subtype did not uniquely predict MACE/ACM as hypothesized. Moderate-to-severe levels of total self-reported depressive symptoms, however, may be associated with increased MACE/ACM risk, even after accounting for potential sociodemographic and clinical confounders.

Race/Ethnicity, Spirometry Reference Equations, and Prediction of Incident Clinical Events: The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study.

Rationale: Normal values for FEV1 and FVC are currently calculated using cross-sectional reference equations that include terms for race/ethnicity, an approach that may reinforce disparities and is of unclear clinical benefit. Objectives: To determine whether race/ethnicity-based spirometry reference equations improve the prediction of incident chronic lower respiratory disease (CLRD) events and mortality compared with race/ethnicity-neutral equations. Methods: The MESA Lung Study, a population-based, prospective cohort study of White, Black, Hispanic, and Asian adults, performed standardized spirometry from 2004 to 2006. Predicted values for spirometry were calculated using race/ethnicity-based equations following guidelines and, alternatively, race/ethnicity-neutral equations without terms for race/ethnicity. Participants were followed for events through 2019. Measurements and Main Results: The mean age of 3,344 participants was 65 years, and self-reported race/ethnicity was 36% White, 25% Black, 23% Hispanic, and 17% Asian. There were 181 incident CLRD-related events and 547 deaths over a median of 11.6 years. There was no evidence that percentage predicted FEV1 or FVC calculated using race/ethnicity-based equations improved the prediction of CLRD-related events compared with those calculated using race/ethnicity-neutral equations (difference in C statistics for FEV1, -0.005; 95% confidence interval [CI], -0.013 to 0.003; difference in C statistic for FVC, -0.008; 95% CI, -0.016 to -0.0006). Findings were similar for mortality (difference in C statistics for FEV1, -0.002; 95% CI, -0.008 to 0.003; difference in C statistics for FVC, -0.004; 95% CI, -0.009 to 0.001). Conclusions: There was no evidence that race/ethnicity-based spirometry reference equations improved the prediction of clinical events compared with race/ethnicity-neutral equations. The inclusion of race/ethnicity in spirometry reference equations should be reconsidered.

Lung function impairment and risk of incident heart failure: the NHLBI Pooled Cohorts Study.

AIMS: The aim is to evaluate associations of lung function impairment with risk of incident heart failure (HF). METHODS AND RESULTS: Data were pooled across eight US population-based cohorts that enrolled participants from 1987 to 2004. Participants with self-reported baseline cardiovascular disease were excluded. Spirometry was used to define obstructive [forced expiratory volume in 1 s/forced vital capacity (FEV1/FVC) <0.70] or restrictive (FEV1/FVC ≥0.70, FVC <80%) lung physiology. The incident HF was defined as hospitalization or death caused by HF. In a sub-set, HF events were sub-classified as HF with reduced ejection fraction (HFrEF; EF <50%) or preserved EF (HFpEF; EF ≥50%). The Fine-Gray proportional sub-distribution hazards models were adjusted for sociodemographic factors, smoking, and cardiovascular risk factors. In models of incident HF sub-types, HFrEF, HFpEF, and non-HF mortality were treated as competing risks. Among 31 677 adults, there were 3344 incident HF events over a median follow-up of 21.0 years. Of 2066 classifiable HF events, 1030 were classified as HFrEF and 1036 as HFpEF. Obstructive [adjusted hazard ratio (HR) 1.17, 95% confidence interval (CI) 1.07-1.27] and restrictive physiology (adjusted HR 1.43, 95% CI 1.27-1.62) were associated with incident HF. Obstructive and restrictive ventilatory defects were associated with HFpEF but not HFrEF. The magnitude of the association between restrictive physiology and HFpEF was similar to associations with hypertension, diabetes, and smoking. CONCLUSION: Lung function impairment was associated with increased risk of incident HF, and particularly incident HFpEF, independent of and to a similar extent as major known cardiovascular risk factors.

Development and preliminary validation of a scale to assess physicians' emotional distress intolerance in end-of-life care communication.

CONTEXT: End-of-life care (EOLC) communication is beneficial but underutilized, particularly in conditions with a variable course such as chronic obstructive pulmonary disease (COPD) and congestive heart failure (CHF). Physicians' emotional distress intolerance has been identified as a barrier to EOLC communication. However, studies of emotional distress intolerance in EOLC have largely relied on anecdotal reports, qualitative data, or observational studies of physician-patient communication. A free-standing measure of multiple dimensions of distress tolerance is warranted to enable the identification of individuals experiencing distress intolerance and to facilitate the effective targeting of interventions to improve distress tolerance. OBJECTIVES: This study provides preliminary data on the reliability and validity of the Physician Distress Intolerance (PDI) scale. We examine potential subdimensions of emotional distress intolerance. METHOD: Family medicine and internal medicine physicians completed the PDI, read vignettes describing patients with COPD or CHF, and indicated whether they initiated or delayed EOLC communication with their patients with similar conditions. RESULTS: Exploratory and confirmatory factor analyses were performed on separate samples. Confirmatory factor analysis confirmed that a three-factor solution was superior to a two- or one-factor solution. Three subscales were created: Anticipating Negative Emotions, Intolerance of Uncertainty, and Iatrogenic Harm. The full scale and subscales had adequate internal consistency and demonstrated evidence of validity. Higher scores on the PDI, indicating greater distress intolerance, were negatively associated with initiation and positively associated with delay of EOLC communication. Subscales provided unique information. SIGNIFICANCE OF RESULTS: The PDI can contribute to research investigating and addressing emotional barriers to EOLC communication.

Association Between Preserved Ratio Impaired Spirometry and Clinical Outcomes in US Adults.

Importance: Chronic lung diseases are a leading cause of morbidity and mortality. Unlike chronic obstructive pulmonary disease, clinical outcomes associated with proportional reductions in expiratory lung volumes without obstruction, otherwise known as preserved ratio impaired spirometry (PRISm), are poorly understood. Objective: To examine the prevalence, correlates, and clinical outcomes associated with PRISm in US adults. Design, Setting, and Participants: The National Heart, Lung, and Blood Institute (NHLBI) Pooled Cohorts Study was a retrospective study with harmonized pooled data from 9 US general population-based cohorts (enrollment, 65 251 participants aged 18 to 102 years of whom 53 701 participants had valid baseline lung function) conducted from 1971-2011 (final follow-up, December 2018). Exposures: Participants were categorized into mutually exclusive groups by baseline lung function. PRISm was defined as the ratio of forced expiratory volume in the first second to forced vital capacity (FEV1:FVC) greater than or equal to 0.70 and FEV1 less than 80% predicted; obstructive spirometry FEV1:FVC ratio of less than 0.70; and normal spirometry FEV1:FVC ratio greater than or equal to 0.7 and FEV1 greater than or equal to 80% predicted. Main Outcomes and Measures: Main outcomes were all-cause mortality, respiratory-related mortality, coronary heart disease (CHD)-related mortality, respiratory-related events (hospitalizations and mortality), and CHD-related events (hospitalizations and mortality) classified by adjudication or validated administrative criteria. Absolute risks were adjusted for age and smoking status. Poisson and Cox proportional hazards models comparing PRISm vs normal spirometry were adjusted for age, sex, race and ethnicity, education, body mass index, smoking status, cohort, and comorbidities. Results: Among all participants (mean [SD] age, 53.2 [15.8] years, 56.4% women, 48.5% never-smokers), 4582 (8.5%) had PRISm. The presence of PRISm relative to normal spirometry was significantly associated with obesity (prevalence, 48.3% vs 31.4%; prevalence ratio [PR], 1.68 [95% CI, 1.55-1.82]), underweight (prevalence, 1.4% vs 1.0%; PR, 2.20 [95% CI, 1.72-2.82]), female sex (prevalence, 60.3% vs 59.0%; PR, 1.07 [95% CI, 1.01-1.13]), and current smoking (prevalence, 25.2% vs 17.5%; PR, 1.33 [95% CI, 1.22-1.45]). PRISm, compared with normal spirometry, was significantly associated with greater all-cause mortality (29.6/1000 person-years vs 18.0/1000 person-years; difference, 11.6/1000 person-years [95% CI, 10.0-13.1]; adjusted hazard ratio [HR], 1.50 [95% CI, 1.42-1.59]), respiratory-related mortality (2.1/1000 person-years vs 1.0/1000 person-years; difference, 1.1/1000 person-years [95% CI, 0.7-1.6]; adjusted HR, 1.95 [95% CI, 1.54-2.48]), CHD-related mortality (5.4/1000 person-years vs 2.6/1000 person-years; difference, 2.7/1000 person-years [95% CI, 2.1-3.4]; adjusted HR, 1.55 [95% CI, 1.36-1.77]), respiratory-related events (12.2/1000 person-years vs 6.0/1000 person-years; difference, 6.2/1000 person-years [95% CI, 4.9-7.5]; adjusted HR, 1.90 [95% CI, 1.69-2.14]), and CHD-related events (11.7/1000 person-years vs 7.0/1000 person-years; difference, 4.7/1000 person-years [95% CI, 3.7-5.8]; adjusted HR, 1.30 [95% CI, 1.18-1.42]). Conclusions and Relevance: In a large, population-based sample of US adults, baseline PRISm, compared with normal spirometry, was associated with a small but statistically significant increased risk for mortality and adverse cardiovascular and respiratory outcomes. Further research is needed to explore whether this association is causal.

A Dyadic Growth Modeling Approach for Examining Associations Between Weight Gain and Lung Function Decline.

The relationship between body weight and lung function is complex. Using a dyadic multilevel linear modeling approach, treating body mass index (BMI; weight (kg)/height (m)2) and lung function as paired, within-person outcomes, we tested the hypothesis that persons with more rapid increase in BMI exhibit more rapid decline in lung function, as measured by forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), and their ratio (FEV1:FVC). Models included random intercepts and slopes and adjusted for sociodemographic and smoking-related factors. A sample of 9,115 adults with paired measurements of BMI and lung function taken at ≥3 visits were selected from a pooled set of 5 US population-based cohort studies (1983-2018; mean age at baseline = 46 years; median follow-up, 19 years). At age 46 years, average annual rates of change in BMI, FEV1, FVC, and FEV1:FVC ratio were 0.22 kg/m2/year, -25.50 mL/year, -21.99 mL/year, and -0.24%/year, respectively. Persons with steeper BMI increases had faster declines in FEV1 (r = -0.16) and FVC (r = -0.26) and slower declines in FEV1:FVC ratio (r = 0.11) (all P values < 0.0001). Results were similar in subgroup analyses. Residual correlations were negative (P < 0.0001), suggesting additional interdependence between BMI and lung function. Results show that greater rates of weight gain are associated with greater rates of lung function loss.

Ambulatory Blood Pressure Response to Romantic Partner Interactions and Long-Term Cardiovascular Health Outcomes.

OBJECTIVE: Lower blood pressure (BP) during romantic partner interactions may underlie the association between romantic relationships and better long-term cardiovascular health. This secondary analysis examined the effect of momentary ambulatory BP (ABP) response to partner interactions on between-person changes in left ventricular mass index and mean systolic and diastolic BP over time. METHODS: Participants were 538 married, working adults (mean [SD] = 46.9 [8.8] years, 56.7% female) with a screening BP of ≤160/105 mm Hg. Participants completed questionnaires, 24-hour ABP monitoring, and an echocardiogram at waves 1 and 2 (mean [SD] = 6.2 [1.0] years later). Associations between ABP response to partner (versus nonpartner) interactions and cardiovascular outcomes were examined using multilevel structural equation models. RESULTS: Participants with lower diastolic BP during partner interactions at wave 1 had a lesser increase in systolic BP at wave 2 (B = 1.68, SE = 0.61, p = .006; 9.84 mm Hg differential change in systolic BP for participants at +1/-1 SD diastolic ABP response to partner interactions). Participants with lower diastolic ABP during partner-specific interactions at wave 1 also had a lesser increase in diastolic BP (B = 0.83, SE = 0.42, p = .045; 4.89 mm Hg differential change in diastolic BP at +1/-1 SD). Systolic ABP response to partner-specific interactions did not predict changes in cardiovascular outcomes; diastolic ABP response did not predict changes in left ventricular mass index. CONCLUSIONS: Momentary diastolic ABP response to partner-specific interactions may function as a mechanism underlying the cardioprotective effect of romantic relationships on long-term BP outcomes.

Albuminuria, Lung Function Decline, and Risk of Incident Chronic Obstructive Pulmonary Disease. The NHLBI Pooled Cohorts Study.

RATIONALE: Chronic lower respiratory diseases (CLRDs), including chronic obstructive pulmonary disease (COPD) and asthma, are the fourth leading cause of death. Prior studies suggest that albuminuria, a biomarker of endothelial injury, is increased in patients with COPD. OBJECTIVES: To test whether albuminuria was associated with lung function decline and incident CLRDs. METHODS: Six U.S. population-based cohorts were harmonized and pooled. Participants with prevalent clinical lung disease were excluded. Albuminuria (urine albumin-to-creatinine ratio) was measured in spot samples. Lung function was assessed by spirometry. Incident CLRD-related hospitalizations and deaths were classified via adjudication and/or administrative criteria. Mixed and proportional hazards models were used to test individual-level associations adjusted for age, height, weight, sex, race/ethnicity, education, birth year, cohort, smoking status, pack-years of smoking, renal function, hypertension, diabetes, and medications. MEASUREMENTS AND MAIN RESULTS: Among 10,961 participants with preserved lung function, mean age at albuminuria measurement was 60 years, 51% were never-smokers, median albuminuria was 5.6 mg/g, and mean FEV1 decline was 31.5 ml/yr. For each SD increase in log-transformed albuminuria, there was 2.81% greater FEV1 decline (95% confidence interval [CI], 0.86-4.76%; P = 0.0047), 11.02% greater FEV1/FVC decline (95% CI, 4.43-17.62%; P = 0.0011), and 15% increased hazard of incident spirometry-defined moderate-to-severe COPD (95% CI, 2-31%, P = 0.0021). Each SD log-transformed albuminuria increased hazards of incident COPD-related hospitalization/mortality by 26% (95% CI, 18-34%, P < 0.0001) among 14,213 participants followed for events. Asthma events were not significantly associated. Associations persisted in participants without current smoking, diabetes, hypertension, or cardiovascular disease. CONCLUSIONS: Albuminuria was associated with greater lung function decline, incident spirometry-defined COPD, and incident COPD-related events in a U.S. population-based sample.

Testing the cross-stressor hypothesis under real-world conditions: exercise as a moderator of the association between momentary anxiety and cardiovascular responses.

The cross-stressor adaptation hypothesis of exercise training has not been investigated under real-life conditions. Using ecological momentary assessment, we tested whether usual exercise level moderates the relationship of self-reported anxiety to concurrent ambulatory heart rate (HR) and systolic/diastolic blood pressure (SBP/DBP). Participants (N = 832) completed 24-h ambulatory monitoring of HR/BP, using a brachial BP cuff that took readings at 28-min intervals. Anxiety levels were concurrently reported on a visual analog scale (VAS) using a Palm Pilot. Usual exercise behavior was assessed by a self-report questionnaire. Random coefficients linear regression models predicting momentary HR/BP readings from time-matched anxiety scores were estimated, yielding the average within-person effect (slope) of anxiety. The interaction of exercise level (i.e., no weekly exercise, 1-149, and ≥ 150 min/week; a between-person factor) with anxiety was added to the model in order to estimate the average anxiety slope for participants in each exercise category. The relationship of HR/BP to anxiety did not differ significantly among exercise categories, hence not providing evidence for the cross-stressor hypothesis. In an exploratory analysis of the difference in HR/BP between occasions when anxiety was in the top versus bottom person-specific quintiles of responses, the difference in HR (but not SBP or DBP) varied significantly by exercise level (F(2,625) = 4.92, p = 0.008). Though our pre-specified analysis did not support the hypothesis, we provide some post hoc evidence supporting the cross-stressor hypothesis of exercise training for the HR response to anxiety.

Association Between Depressive Symptoms and Incident Cardiovascular Diseases.

Importance: It is uncertain whether depressive symptoms are independently associated with subsequent risk of cardiovascular diseases (CVDs). Objective: To characterize the association between depressive symptoms and CVD incidence across the spectrum of lower mood. Design, Setting, and Participants: A pooled analysis of individual-participant data from the Emerging Risk Factors Collaboration (ERFC; 162 036 participants; 21 cohorts; baseline surveys, 1960-2008; latest follow-up, March 2020) and the UK Biobank (401 219 participants; baseline surveys, 2006-2010; latest follow-up, March 2020). Eligible participants had information about self-reported depressive symptoms and no CVD history at baseline. Exposures: Depressive symptoms were recorded using validated instruments. ERFC scores were harmonized across studies to a scale representative of the Center for Epidemiological Studies Depression (CES-D) scale (range, 0-60; ≥16 indicates possible depressive disorder). The UK Biobank recorded the 2-item Patient Health Questionnaire 2 (PHQ-2; range, 0-6; ≥3 indicates possible depressive disorder). Main Outcomes and Measures: Primary outcomes were incident fatal or nonfatal coronary heart disease (CHD), stroke, and CVD (composite of the 2). Hazard ratios (HRs) per 1-SD higher log CES-D or PHQ-2 adjusted for age, sex, smoking, and diabetes were reported. Results: Among 162 036 participants from the ERFC (73%, women; mean age at baseline, 63 years [SD, 9 years]), 5078 CHD and 3932 stroke events were recorded (median follow-up, 9.5 years). Associations with CHD, stroke, and CVD were log linear. The HR per 1-SD higher depression score for CHD was 1.07 (95% CI, 1.03-1.11); stroke, 1.05 (95% CI, 1.01-1.10); and CVD, 1.06 (95% CI, 1.04-1.08). The corresponding incidence rates per 10 000 person-years of follow-up in the highest vs the lowest quintile of CES-D score (geometric mean CES-D score, 19 vs 1) were 36.3 vs 29.0 for CHD events, 28.0 vs 24.7 for stroke events, and 62.8 vs 53.5 for CVD events. Among 401 219 participants from the UK Biobank (55% were women, mean age at baseline, 56 years [SD, 8 years]), 4607 CHD and 3253 stroke events were recorded (median follow-up, 8.1 years). The HR per 1-SD higher depression score for CHD was 1.11 (95% CI, 1.08-1.14); stroke, 1.10 (95% CI, 1.06-1.14); and CVD, 1.10 (95% CI, 1.08-1.13). The corresponding incidence rates per 10 000 person-years of follow-up among individuals with PHQ-2 scores of 4 or higher vs 0 were 20.9 vs 14.2 for CHD events, 15.3 vs 10.2 for stroke events, and 36.2 vs 24.5 for CVD events. The magnitude and statistical significance of the HRs were not materially changed after adjustment for additional risk factors. Conclusions and Relevance: In a pooled analysis of 563 255 participants in 22 cohorts, baseline depressive symptoms were associated with CVD incidence, including at symptom levels lower than the threshold indicative of a depressive disorder. However, the magnitude of associations was modest.

Duration of Perseverative Thinking as Related to Perceived Stress and Blood Pressure: An Ambulatory Monitoring Study.

OBJECTIVE: Psychological distress may be intensified and prolonged by perseverative thinking (e.g., rumination, worry). The tendency to engage frequently in perseverative thinking has been linked to increased blood pressure (BP). Research is needed to investigate the physiological consequences of time spent perseverating by testing the momentary association between the duration of perseverative thinking and BP. The present study examines the extent to which the duration of perseverative thinking is associated with momentary perceived stress and ambulatory BP elevations during daily life. METHODS: Participants (N = 373) drawn from a larger project on BP and cardiovascular health completed 24-hour ambulatory BP monitoring accompanied by ecological momentary assessments of their perseverative thoughts and feelings. Multilevel models tested associations among perseveration duration, momentary perceived stress, and systolic and diastolic BP, adjusting for person-level and momentary covariates. RESULTS: Higher within-subject perseveration duration was associated with higher stress (B = 0.29; 95% confidence interval [CI] = 0.24-0.33; p < .001). Although higher perseveration duration was not associated with substantially higher systolic (B = 0.16 mm Hg; 95% CI = 0.00-0.33 mm Hg; p = .056) or diastolic (B = 0.07 mm Hg; 95% CI = -0.05 to 0.19 mm Hg; p = .25) BP, the associations between higher perseveration duration and higher systolic (p = .032) and diastolic (p = .036) BP were significantly mediated by a higher intensity of momentary perceived stress. CONCLUSIONS: Findings support the clinically important notion that physiological consequences of perceived stress can be maintained and even heightened by maladaptively prolonged mental activity.

Romantic Relationship Satisfaction and Ambulatory Blood Pressure During Social Interactions: Specificity or Spillover Effects?

BACKGROUND: People in high-quality romantic relationships tend to have lower blood pressure (BP). People may experience lower BP specifically when interacting with romantic partners. PURPOSE: This study parsed the effects of different types of social interactions on ambulatory BP (ABP) and tested whether romantic relationship satisfaction moderated these effects during interactions with partners in particular (specificity) or with others (spillover; e.g., friends, co-workers). METHODS: Partnered participants (N = 594) were drawn from a larger study on BP and cardiovascular health (age = 46.5 ± 9.3; 57.4% female). Participants reported on romantic relationship satisfaction and completed 24-hr ABP monitoring. At each reading, participants reported whether they had a social interaction and with whom. Multilevel models accounted for nesting of data over time. RESULTS: Romantic relationship satisfaction significantly modified the effects of some social interactions on systolic and diastolic BP (SBP, DBP). Participants with high (+1 SD) relationship satisfaction had significantly lower SBP (-0.77 mmHg, p = .02) during partner interactions compared with no social interaction; low-satisfaction (-1 SD) participants had a nonsignificant 0.59 mmHg increase (p = .14). A similar pattern emerged for DBP. Relationship satisfaction also modified SBP response during friend interactions (elevated SBP for low-satisfaction participants) and DBP response during "other" interactions (elevated DBP for high-satisfaction participants). CONCLUSION: Participants with high levels of romantic relationship satisfaction experienced significantly lower BP during social interactions with their partner compared with situations without social interaction. Although there was some evidence for spillover to other types of relationships, effects were largely restricted to partner interactions.

The Impact of Integrated Psychiatric Care on Hospital Medicine Length of Stay: A Pre-Post Intervention Design With a Simultaneous Usual Care Comparison.

BACKGROUND: Psychiatric comorbidity is highly prevalent in general medicine inpatient settings and is associated with increased duration and cost of hospitalization. OBJECTIVE: To evaluate the impact of integrated, proactive psychiatric care on hospital medicine length of stay (LOS), expanding upon methods from earlier studies. METHODS: A full-time psychiatrist was dedicated to a single hospital medicine unit to focus on early case finding and intensified treatment, interdisciplinary communication, and discharge planning. To a pre-post intervention design, we added a simultaneous usual care comparison. We also added adjustments for age, sex, insurance type, and whether the patient was discharged home or to a facility. We included a sensitivity analysis to remove outliers for whom LOS was ≤30 days. RESULTS: Statistically significant differences in LOS occurred on the pilot unit in the pre-post analysis (-1.66 d, P = 0.04) and on the pilot versus control units in the intervention year (-1.91 d, P = 0.003). The differential pre-post change in LOS on the pilot versus control units revealed a positive trend but was not statistically significant (-1.59 d, P = 0.14). This more rigorous test approached statistical significance when patients with LOS >30 days were excluded (-1.15 d, P = 0.07). CONCLUSION: This analysis strengthens existing evidence that dedicated, proactive psychiatric services integrated into hospital medicine units lower LOS more than does usual psychiatric consultation upon request, particularly in patients with an LOS ≤30 days.

Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches.

BACKGROUND: Investigations into person-specific predictors of stress have typically taken either a population-level nomothetic approach or an individualized ideographic approach. Nomothetic approaches can quickly identify predictors but can be hindered by the heterogeneity of these predictors across individuals and time. Ideographic approaches may result in more predictive models at the individual level but require a longer period of data collection to identify robust predictors. OBJECTIVE: Our objectives were to compare predictors of stress identified through nomothetic and ideographic models and to assess whether sequentially combining nomothetic and ideographic models could yield more accurate and actionable predictions of stress than relying on either model. At the same time, we sought to maintain the interpretability necessary to retrieve individual predictors of stress despite using nomothetic models. METHODS: Data collected in a 1-year observational study of 79 participants performing low levels of exercise were used. Physical activity was continuously and objectively monitored by actigraphy. Perceived stress was recorded by participants via daily ecological momentary assessments on a mobile app. Environmental variables including daylight time, temperature, and precipitation were retrieved from the public archives. Using these environmental, actigraphy, and mobile assessment data, we built machine learning models to predict individual stress ratings using linear, decision tree, and neural network techniques employing nomothetic and ideographic approaches. The accuracy of the approaches for predicting individual stress ratings was compared based on classification errors. RESULTS: Across the group of patients, an individual's recent history of stress ratings was most heavily weighted in predicting a future stress rating in the nomothetic recurrent neural network model, whereas environmental factors such as temperature and daylight, as well as duration and frequency of bouts of exercise, were more heavily weighted in the ideographic models. The nomothetic recurrent neural network model was the highest performing nomothetic model and yielded 72% accuracy for an 80%/20% train/test split. Using the same 80/20 split, the ideographic models yielded 75% accuracy. However, restricting ideographic models to participants with more than 50 valid days in the training set, with the same 80/20 split, yielded 85% accuracy. CONCLUSIONS: We conclude that for some applications, nomothetic models may be useful for yielding higher initial performance while still surfacing personalized predictors of stress, before switching to ideographic models upon sufficient data collection.

Discriminative Accuracy of FEV1:FVC Thresholds for COPD-Related Hospitalization and Mortality.

Importance: According to numerous current guidelines, the diagnosis of chronic obstructive pulmonary disease (COPD) requires a ratio of the forced expiratory volume in the first second to the forced vital capacity (FEV1:FVC) of less than 0.70, yet this fixed threshold is based on expert opinion and remains controversial. Objective: To determine the discriminative accuracy of various FEV1:FVC fixed thresholds for predicting COPD-related hospitalization and mortality. Design, Setting, and Participants: The National Heart, Lung, and Blood Institute (NHLBI) Pooled Cohorts Study harmonized and pooled data from 4 US general population-based cohorts (Atherosclerosis Risk in Communities Study; Cardiovascular Health Study; Health, Aging, and Body Composition Study; and Multi-Ethnic Study of Atherosclerosis). Participants aged 45 to 102 years were enrolled from 1987 to 2000 and received follow-up longitudinally through 2016. Exposures: Presence of airflow obstruction, which was defined by a baseline FEV1:FVC less than a range of fixed thresholds (0.75 to 0.65) or less than the lower limit of normal as defined by Global Lung Initiative reference equations (LLN). Main Outcomes and Measures: The primary outcome was a composite of COPD hospitalization and COPD-related mortality, defined by adjudication or administrative criteria. The optimal fixed FEV1:FVC threshold was defined by the best discrimination for these COPD-related events as indexed using the Harrell C statistic from unadjusted Cox proportional hazards models. Differences in C statistics were compared with respect to less than 0.70 and less than LLN thresholds using a nonparametric approach. Results: Among 24 207 adults in the pooled cohort (mean [SD] age at enrollment, 63 [10.5] years; 12 990 [54%] women; 16 794 [69%] non-Hispanic white; 15 181 [63%] ever smokers), complete follow-up was available for 11 077 (77%) at 15 years. During a median follow-up of 15 years, 3925 participants experienced COPD-related events over 340 757 person-years of follow-up (incidence density rate, 11.5 per 1000 person-years), including 3563 COPD-related hospitalizations and 447 COPD-related deaths. With respect to discrimination of COPD-related events, the optimal fixed threshold (0.71; C statistic for optimal fixed threshold, 0.696) was not significantly different from the 0.70 threshold (difference, 0.001 [95% CI, -0.002 to 0.004]) but was more accurate than the LLN threshold (difference, 0.034 [95% CI, 0.028 to 0.041]). The 0.70 threshold provided optimal discrimination in the subgroup analysis of ever smokers and in adjusted models. Conclusions and Relevance: Defining airflow obstruction as FEV1:FVC less than 0.70 provided discrimination of COPD-related hospitalization and mortality that was not significantly different or was more accurate than other fixed thresholds and the LLN. These results support the use of FEV1:FVC less than 0.70 to identify individuals at risk of clinically significant COPD.

Harmonization of Respiratory Data From 9 US Population-Based Cohorts: The NHLBI Pooled Cohorts Study.

Chronic lower respiratory diseases (CLRDs) are the fourth leading cause of death in the United States. To support investigations into CLRD risk determinants and new approaches to primary prevention, we aimed to harmonize and pool respiratory data from US general population-based cohorts. Data were obtained from prospective cohorts that performed prebronchodilator spirometry and were harmonized following 2005 ATS/ERS standards. In cohorts conducting follow-up for noncardiovascular events, CLRD events were defined as hospitalizations/deaths adjudicated as CLRD-related or assigned relevant administrative codes. Coding and variable names were applied uniformly. The pooled sample included 65,251 adults in 9 cohorts followed-up for CLRD-related mortality over 653,380 person-years during 1983-2016. Average baseline age was 52 years; 56% were female; 49% were never-smokers; and racial/ethnic composition was 44% white, 22% black, 28% Hispanic/Latino, and 5% American Indian. Over 96% had complete data on smoking, clinical CLRD diagnoses, and dyspnea. After excluding invalid spirometry examinations (13%), there were 105,696 valid examinations (median, 2 per participant). Of 29,351 participants followed for CLRD hospitalizations, median follow-up was 14 years; only 5% were lost to follow-up at 10 years. The NHLBI Pooled Cohorts Study provides a harmonization standard applied to a large, US population-based sample that may be used to advance epidemiologic research on CLRD.