Variability in Daily Experiences of Mood and its Correlates

This study investigated the characteristics and correlates of Mood variability (MV), defined as atypically frequent fluctuations in mood. MV has been associated in the literature with various forms of psychopathology. For example, MV has shown, however inconsistently, to be elevated in people with depressive symptomatology. This study sought to replicate previous findings of this positive correlation. Due to the well established association of depressive symptoms and stress, this study also examined if MV correlates with stress beyond depressive symptom severity. Other associations explored are those with maladaptive mood regulation abilities, and personality factors. Although MV was not found to be correlated with depressive symptoms through experience sampling methods, a positive correlation was found for self report measures of MV. MV was also found to correlate with both a one-time retrospective measure and daily assessments over one week. Surprisingly, higher levels of MV as measured by experience sampling methods but not through self-report measures were associated with better recovery from a negative mood induction. This study demonstrates the benefit of a multi-method approach to studying mood variability, by means of both experience sampling and survey methods.No embarg

Effect of collaborative depression treatment on risk for diabetes: A 9-year follow-up of the IMPACT randomized controlled trial

Considerable epidemiologic evidence and plausible biobehavioral mechanisms suggest that depression is an independent risk factor for diabetes. Moreover, reducing the elevated diabetes risk of depressed individuals is imperative given that both conditions are leading causes of death and disability. However, because no prior study has examined clinical diabetes outcomes among depressed patients at risk for diabetes, the question of whether depression treatment prevents or delays diabetes onset remains unanswered. Accordingly, we examined the effect of a 12-month collaborative care program for late-life depression on 9-year diabetes incidence among depressed, older adults initially free of diabetes. Participants were 119 primary care patients [M (SD) age: 67.2 (6.9) years, 41% African American] with a depressive disorder but without diabetes enrolled at the Indiana sites of the Improving Mood-Promoting Access to Collaborative Treatment (IMPACT) trial. Incident diabetes cases were defined as diabetes diagnoses, positive laboratory values, or diabetes medication prescription, and were identified using electronic medical record and Medicare/Medicaid data. Surprisingly, the rate of incident diabetes in the collaborative care group was 37% (22/59) versus 28% (17/60) in the usual care group. Even though the collaborative care group exhibited greater reductions in depressive symptom severity (p = .024), unadjusted (HR = 1.29, 95% CI: 0.69-2.43, p = .428) and adjusted (HR = 1.18, 95% CI: 0.61-2.29, p = .616) Cox proportional hazards models indicated that the risk of incident diabetes did not differ between the treatment groups. Our novel preliminary findings raise the possibility that depression treatment alone may be insufficient to reduce the excess diabetes risk of depressed, older adults

Somatic Symptoms, but Not Nonsomatic Symptoms, of Depression are Associated with Insulin Resistance: National Health and Nutrition Examination Survey (NHANES) 2005-2010

poster abstractWhile there is a well-established link between depression and type 2 diabetes, depressive symptoms have received little attention in this literature. To begin to address this gap, we examined relationships among the somatic and nonsomatic symptoms of depression and insulin resistance, which is involved in the development of type 2 diabetes. Participants were 4,834 adults (mean age = 44.3 years, 50% female, 19% African American, 20% Mexican American) who participated in the 2005-2010 waves of NHANES – a survey of a large representative sample of the U.S. population. Participants with the following conditions were excluded: diabetes, cardiovascular disease, liver disease, kidney disease, or pregnancy. Depressive symptoms were measured using the Patient Health Questionnaire (PHQ-9), and somatic and nonsomatic subscales were derived based on confirmatory factor analysis. Our index of insulin resistance was the homeostatic model assessment (HOMA) score, which we computed from fasting plasma glucose and insulin levels. Separate regression analyses (adjusted for age, sex, race-ethnicity, education, BMI, and NHANES sample design) demonstrated positive relationships between PHQ-9 total (B=0.04, SEB=0.01, p<0.0001), somatic (B=0.07, SEB=0.02, p=0.0004), and nonsomatic (B=0.06, SEB=0.02, p=0.0004) scores and HOMA score. When the subscales were entered simultaneously into a regression model, the somatic score (B=0.05, SEB=0.02, p=0.03), but not the nonsomatic score (B=0.03, SEB=0.02, p=0.06), remained associated with HOMA score. A significant interaction was found for race-ethnicity, and further analyses demonstrate that the somatic symptoms of depression are only significantly associated with HOMA among Caucasians (B=0.07, SEB=0.02, p=0.02). Our cross-sectional findings suggest that the relationship between depression and insulin resistance may be driven by the somatic symptoms of depression and that this relationship may only be present only occur in Caucasians. The findings suggest that Caucasian adults with the somatic symptoms of depression may be at an elevated risk of type 2 diabetes

Depressive symptom clusters as predictors of 6-year increases in insulin resistance: data from the Pittsburgh Healthy Heart Project

OBJECTIVE: To examine longitudinal bidirectional associations between two depressive symptom clusters-the cognitive-affective and somatic-vegetative clusters--and insulin resistance, a marker of prediabetes. METHODS: Participants were 269 adults aged 50 to 70 years without diabetes enrolled in the Pittsburgh Healthy Heart Project, a prospective cohort study. At baseline and 6-year visits, participants completed the Beck Depression Inventory-II (BDI-II) and underwent a blood draw to quantify fasting insulin and glucose. We examined baseline BDI-II total, cognitive-affective, and somatic-vegetative scores as predictors of 6-year change in the homeostatic model of assessment (HOMA) score, an estimate of insulin resistance computed from fasting insulin and glucose. We also examined baseline HOMA score as a predictor of 6-year change in BDI-II total and subscale scores. RESULTS: Regression analyses, adjusted for demographic factors and baseline HOMA score, revealed that the baseline BDI-II somatic-vegetative score (β = 0.14, p = .025), but not the cognitive-affective (β = 0.001, p = .98) or total (β = 0.10, p = .11) scores, predicted 6-year HOMA change. This result persisted in models controlling for anxiety symptoms and hostility. Several factors were examined as candidate mediators; however, only change in body mass index was a significant mediator (p = .042), accounting for 23% of the observed association. Baseline HOMA score did not predict 6-year change in BDI-II total or subscale scores (all p values >.56). CONCLUSIONS: Among adults aged 50 to 70 years, the somatic-vegetative symptoms of depression (e.g., fatigue, sleep disturbance, and appetite changes) may worsen insulin resistance and increase diabetes risk, partly, by increasing body mass index

Depressive Symptoms are Associated with Poor Adherence to Some Lifestyle but not Medication Recommendations to Prevent Cardiovascular Disease: National Health and Nutrition Examination Survey (NHANES) 2005-2010

poster abstractDepression has been linked to poor medical adherence; however, most studies have involved persons with preexisting conditions, such as cardiovascular disease (CVD). Our aim was to examine relationships between depressive symptoms and adherence to medication and lifestyle recommendations intended to prevent CVD in a community sample. We selected adults ≥18 years (53%-56% female, 47%-52% non-white) with a history of hypertension and/or hypercholesterolemia, but free of CVD, who participated in 2005-2010 waves of NHANES – a survey of a large probability sample representative of the U.S. population. The Patient Health Questionnaire-9 (PHQ-9) was used to assess depressive symptoms (converted to z-scores). The NHANES Blood Pressure and Cholesterol questionnaire was used to assess self-reported adherence to five medication and lifestyle recommendations: take antihypertensive medication (N=3313), take lipid-lowering medication (N=2266), control/lose weight (N=2177), eat fewer high fat/cholesterol foods (N=2924), and increase physical activity (N=2540). Logistic regression models (adjusting for age, sex, race-ethnicity, education, body mass, diabetes, smoking status, daily alcohol intake and NHANES sample design) revealed that a 1-SD increase in PHQ-9 total score was associated with a 14% lower likelihood of adherence to the control/lose weight recommendation (OR=0.86, 95% CI: 0.75-0.98, p=.02) and a 25% lower likelihood of adherence to the increase physical activity recommendation (OR=0.75, 95% CI: 0.65-0.86, p<.001). PHQ-9 total score was not associated with the likelihood of adherence to antihypertensive medication (OR, 0.93, 95% CI: 0.82-1.05, p=0.21), lipid-lowering medication (OR=0.99, 95% CI: 0.86-1.14, p=0.90), or eat fewer high fat/cholesterol foods recommendations (OR=0.94, 95% CI: 0.82-1.08, p=0.40). Adherence rates for depressed verses nondepressed adults to the control/lose weight recommendation were 75% and 85% and the increase physical activity recommendation were 63% and 79%, respectively. Our findings suggest that poor adherence to weight and activity recommendations, but not medication and diet recommendations, may partially explain the excess CVD risk of depressed persons

Somatic-Vegetative Symptoms of Depression Predict 6-Year Increases in Insulin Resistance: Data from the Pittsburgh Healthy Heart Project

poster abstractAlthough prospective studies suggest a bidirectional association between depression and type 2 diabetes, few studies have examined depressive symptom clusters or concurrently evaluated both directions of this relationship. Consequently, our objective was to examine the longitudinal, bidirectional associations between the somatic-vegetative and cognitive-affective clusters of depressive symptoms and insulin resistance, which is implicated in the pathophysiology of type 2 diabetes. Participants were 269 adults (baseline age range: 50-70 years, 55% female, 14% non-white) without diabetes enrolled in the Pittsburgh Healthy Heart Project, a prospective cohort study. At baseline and the 6-year visits, participants completed the Beck Depression Inventory-II (BDI-II) to assess depressive symptoms and underwent a blood draw to quantify fasting serum insulin and glucose. We examined baseline BDI-II total and subscale scores as predictors of 6-year change in the homeostatic model assessment (HOMA) score, an index of insulin resistance computed from fasting insulin and glucose. We also examined baseline HOMA score as a predictor of 6-year change in BDI-II total and subscale scores. HOMA and BDI-II change were computed as follow-up score minus baseline score. Regression analyses, adjusted for baseline HOMA score and demographic factors, revealed that the baseline BDI-II somatic-vegetative score (beta=.14, p=.03), but not the total (beta=.10, p=.11) or cognitive-affective (beta=.004, p=.95) scores, was a predictor of 6-year increases in the HOMA score. The pattern of results was similar after further adjustment for body mass index, except that the BDI-II total score became a predictor of HOMA change (beta=.13, p=.03). In contrast, the baseline HOMA score did not predict 6-year change in BDI-II total, somatic-vegetative, or cognitive-affective scores (all p’s>.48). Our findings indicate that older adults experiencing the somatic-vegetative symptoms of depression (e.g., fatigue, sleep disturbance, and appetite changes) may be at an increased risk of insulin resistance and subsequent type 2 diabetes

Depression and Anxiety Screens as Predictors of 8-Year Incidence of Myocardial Infarction and Stroke in Primary Care Patients

Because depression and anxiety are typically studied in isolation, our purpose was to examine the relative importance of these overlapping emotional factors in predicting incident cardiovascular disease (CVD). Methods We examined depression and anxiety screens, and their individual items, as predictors of incident hard CVD events, myocardial infarction, and stroke over eight years in a diverse sample of 2,041 older primary care patients initially free of CVD. At baseline, participants completed self-report depression and anxiety screens. Data regarding CVD events were obtained from an electronic medical record system and the Centers for Medicare and Medicaid Services analytic files. Results During follow-up, 683 (33%) experienced a CVD event. Cox proportional hazards models – adjusted for demographic and CVD risk factors – revealed that a positive anxiety screen, but not a positive depression screen, was associated with an increased risk of a hard CVD event in separate models (Years 0–3: Anxiety HR=1.54, p<.001; Years 3+: Anxiety HR=0.99, p=.93; Depression HR=1.10, p=.41), as well as when entered into the same model (Years 0–3: Anxiety HR=1.53, p<.001; Years 3+: Anxiety HR=0.99, p=.99; Depression HR=1.03, p=.82). Analyses examining individual items and secondary outcomes showed that the anxiety-CVD association was largely driven by the feeling anxious item and the myocardial infarction outcome. Conclusions Anxiety, especially feeling anxious, is a unique risk factor for CVD events in older adults, independent of conventional risk factors and depression. Anxiety deserves increased attention as a potential factor relevant to CVD risk stratification and a potential target of CVD primary prevention efforts

Association of soluble markers of inflammation with peri-coronary artery inflammation in people with and without HIV infection and without cardiovascular disease

BACKGROUND: Inflammation is linked to elevated cardiovascular disease (CVD) risk in people with HIV (PWH) on antiretroviral therapy (ART). Fat attenuation index (FAI) is a measure of peri-coronary inflammation that independently predicts CVD risk in HIV-uninfected persons. Whether FAI is associated with soluble inflammatory markers is unknown. METHODS: Plasma levels of inflammatory markers were measured in 58 PWH and 16 controls without current symptoms or prior known CVD who underwent coronary computed tomography angiography and had FAI measurements. A cross-sectional analysis was performed, and associations of markers with FAI values of the right coronary artery (RCA) and left anterior descending artery (LAD) were assessed using multivariable regression models adjusted for the potential confounders age, sex, race, low-density lipoprotein cholesterol, body mass index, and use of lipid-lowering medication. RESULTS: Several inflammatory markers had significant associations with RCA or LAD FAI in adjusted models, including sCD14, sCD163, TNFR-I, and TNFR-II, CCL5, CX3CL1, IP-10. CONCLUSIONS: The associations between indices of systemic and peri-coronary inflammation are novel and suggest that these systemic markers and FAI together are promising noninvasive biomarkers that can be applied to assess asymptomatic CVD in people with and without HIV; they also may be useful tools to evaluate effects of anti-inflammatory interventions

Association Between Depressive Disorders and Incident Acute Myocardial Infarction in Human Immunodeficiency Virus–Infected Adults

IMPORTANCE With the advent of highly effective antiretroviral therapy and improved survival, human immunodeficiency virus (HIV)–infected people are living longer and are now at an increased risk for cardiovascular disease (CVD). There is an urgent need to identify novel risk factors and primary prevention approaches for CVD in HIV. Although depression is prevalent in HIV-infected adults and is associated with future CVD in the general population, its association with CVD events has not been examined in the HIV-infected population. OBJECTIVE To examine whether depressive disorders are prospectively associated with incident acute myocardial infarction (AMI) in a large cohort of adults with HIV. DESIGN, SETTING, AND PARTICIPANTS Included in this cohort study were 26 144 HIV-infected veterans without CVD at baseline (1998–2003) participating in the US Department of Veterans Affairs Veterans Aging Cohort Study from April 1, 2003, through December 31, 2009. At baseline, 4853 veterans (19%) with major depressive disorder (MDD; International Classification of Diseases, Ninth Revision [ICD-9] codes 296.2 and 296.3) and 2296 (9%) with dysthymic disorder (ICD-9 code 300.4) were identified. The current analysis was conducted from January 2015 to November 2015. MAIN OUTCOMES AND MEASURES Incident AMI (defined by discharge summary documentation, enzyme/electrocardiography evidence of AMI, inpatient ICD-9 code for AMI (410), or AMI as underlying cause of death [International Statistical Classification of Diseases and Related Health Problems, Tenth Revision code 121]) between the enrollment date and December 31, 2009. RESULTS The mean (SD) age of those with MDD was 47.3 (7.9) years and for those without MDD was 48.2 (9.7) years. During 5.8 years of follow-up, 490 AMI events (1.9%) occurred. Baseline MDD was associated with incident AMI after adjusting for demographics (hazard ratio [HR], 1.31; 95% CI, 1.05–1.62), CVD risk factors (HR, 1.29; 95% CI, 1.04–1.60), and HIV-specific factors (HR, 1.30; 95% CI, 1.05–1.62). Further adjustment for hepatitis C, renal disease, substance abuse, and hemoglobin level (HR, 1.25; 95% CI, 1.00–1.56) and antidepressant use (HR, 1.12; 95% CI, 0.87–1.42) attenuated associations. Baseline dysthymic disorder was not associated with incident AMI. CONCLUSIONS AND RELEVANCE We report novel evidence that HIV-infected adults with MDD have a 30% increased risk for AMI than HIV-infected adults without MDD after adjustment for many potential confounders. Our findings raise the possibility that MDD may be independently associated with incident atherosclerotic CVD in the HIV-infected population

Depression and HIV Infection are Risk Factors for Incident Heart Failure Among Veterans: Veterans Aging Cohort Study.

Background: Both HIV and depression are associated with increased heart failure (HF) risk. Depression, a common comorbidity, may further increase the risk of HF among HIV+ adults. We assessed the association between HIV, depression and incident HF. Methods and Results: Veterans Aging Cohort Study (VACS) participants free from cardiovascular disease at baseline (N = 81,427; 26,908 HIV+, 54,51