Positive affect is associated with cardiovascular reactivity, norepinephrine level, and morning rise in salivary cortisol.

Positive affect was examined as a predictor of (1) cardiovascular reactivity during a sadness and an anger recall task and recovery following the protocol, (2) epinephrine (EPI) and norepinephrine (NOREPI) reactivity and level during the recall protocol, and (3) the diurnal pattern of salivary cortisol. Sample was 328 individuals. Negative affect, age, race, sex, smoking status, income, and BMI were adjusted. During sadness recall, positive affect was inversely related to systolic blood pressure (p=.007) and diastolic blood pressure (p=.049) reactivity, and unrelated to heart rate (p=.226). Positive affect was unrelated to reactivity during anger recall (ps>.19), and was unrelated to recovery at the end of the recall protocol. Positive affect was inversely related to the mean level of NOREPI (p=.046), and unrelated to EPI (p=.149). Positive affect was inversely related to the increase in cortisol 30 min post awakening (p=.042), and unrelated to the evening decline in cortisol levels (p=.174). Positive emotions may be relevant to good health.

Characteristics of socially isolated patients with coronary artery disease who are at elevated risk for mortality.

OBJECTIVES: Social isolation has been linked to poor survival in patients with coronary artery disease (CAD). Few studies have closely examined the psychosocial characteristics of CAD patients who lack social contact. METHODS: Social isolation was examined as a predictor of mortality in 430 patients with significant CAD. More isolated patients were compared with their less isolated counterparts on factors that might help explain the association between isolation and survival. RESULTS: The mortality rate was higher among isolated individuals. Those with three or fewer people in their social support network had a relative risk of 2.43 (p = .001) for cardiac mortality and 2.11 (p = .001) for all-cause mortality, controlling for age and disease severity. Adjustments for income, hostility, and smoking status did not alter the risk due to social isolation. With the exception of lower income, higher hostility ratings, and higher smoking rates, isolated patients did not differ from nonisolated patients on demographic indicators, disease severity, physical functioning, or psychological distress. Isolated patients reported less social support and were less pleased with the way they got along with network members, but they did not report less satisfaction with the amount of social contact received. CONCLUSIONS: Patients with small social networks had an elevated risk of mortality, but this greater risk was not attributable to confounding with disease severity, demographics, or psychological distress. These findings have implications for mechanisms linking social isolation to mortality and for the application of psychosocial interventions.

Relation of subjective and received social support to clinical and self-report assessments of depressive symptoms in an elderly population.

BACKGROUND: The authors sought to evaluate the associations between depressive symptoms and social support in a sample drawn from a relatively understudied population - depressed elderly patients. The present study also used a multi-measure approach to assess both depressive symptomatology and social support. METHODS: In this prospective study of 115 patients we examined: (1) the baseline relations among a self-report measure of depressive symptoms, two clinical assessments of depressive symptoms, and subjective and received social support, and (2) the ability of social support to predict changes in clinical assessments of depressive symptoms at 6 months and 1 year. Education level, financial concerns, activities of daily living ratings, and gender were controlled for. RESULTS: Baseline subjective support was negatively related to self-reports of depressive symptoms, but unrelated to clinical assessments at baseline or follow-up. Conversely, received support was unrelated to self-reported depressive symptoms, but positively related to both clinical assessments at baseline. However, higher ratings of received support at baseline predicted decreases in clinical ratings of depressive symptoms at 6 months and 1 year. LIMITATIONS: These data were gathered in a primarily Caucasian sample, thus the findings may not generalize to more diverse ethnic populations. Potential confounding due to treatment mode and setting was not controlled in the present analyses. CONCLUSIONS: These results have important implications for interpreting clinical data in elderly depressed patients. Specifically, when depressive symptoms are assessed using clinician ratings, the most informative aspect of social support with respect to future clinical status appears to be received, rather than perceived, support measures.

Reliability of interview-assessed hostility ratings across mode of assessment and time.

These studies addressed 2 questions concerning interview-based hostility assessments: whether they are affected if the interview is conducted face-to-face versus telephone and whether they are stable across an extended time period. In Study 1A, 54 students were interviewed face-to-face and by telephone in a laboratory setting. Half the sample was reinterviewed in the laboratory 6 weeks later. The other half was reinterviewed by telephone at home. With 1 exception, all intraclass correlation coefficients (ICCs) comparing interview modes were above .62. In Study 1B, 48 adults were interviewed face-to-face in a laboratory and by telephone in their homes with a 2-week intervening interval. The ICC comparing interview modes was .78. In Study 2, 100 adults were interviewed face-to-face in a laboratory and approximately 4 years later by telephone in their homes. The ICC across interviews was .69. Thus, support was found for the stability of interview-based hostility assessments across interview methods and extended periods of time.

Moderators of the effect of social support on depressive symptoms in cardiac patients.

Social support and depression have been shown to affect the prognosis of coronary patients, and social support has been found to influence depression in community and patient samples. We investigated the characteristics of coronary patients whose depressive symptomatology was most likely to improve with social support. We predicted that social support would be most beneficial for the most severely depressed, the old, the poor, the most severely ill, and those with poor functional status. Patients (n = 590) with documented coronary artery disease were assessed for depressive symptoms, social support, and functional status while in hospital. They were reassessed for depression 1 month later during a home visit. Depression scores were lower at follow-up (p = 0.001), and improvement was more marked among those reporting more support (p <0.001). The social support effect was strongest among those with high levels of depression at baseline (p <0.001) and those with lower income (p = 0.01). Unexpectedly, social support was more strongly associated with improvement in younger patients (p = 0.01). Social support did not interact with gender, disease severity, or functional status. These findings are partially consistent with the notion that social support is most effective for those who are most vulnerable and/or have few coping resources. These findings also have implications for the design and interpretation of psychosocial interventions.

Hostility in marital dyads: associations with depressive symptoms.

We examined the relations of hostility (of self and spouse) with self-ratings of depressive symptoms in 898 spouse pairs. Self-ratings of hostility were initially examined as predictors of depression. Next, spouse self-ratings of hostility were added to the model. Finally, the interaction of self x spouse hostility was investigated. These relations were explored for three components of hostility (Cynicism, Aggressive Responding, and Hostile Affect). Age and education were controlled in all models and effects were examined separately for women and men. Self-ratings of Hostile Affect were positively related to depressive symptoms for both women and men. Self-ratings of Cynicism were also significantly related to depression, but only for men. All three components of spouse's hostility were positively related to one's own symptoms of depression for women. For men, however, spouse's hostility was not related to symptoms of depression. These findings highlight the need to study psychosocial risk factors in social units and have potential implications for intervention.

Associations among NEO personality assessments and well-being at midlife: facet-level analyses.

The association between well-being and personality was examined in 2,379 middle-aged adults. Measures that parallel C. D. Ryffs (1989) psychological model were selected to assess well-being. The 30 facet scales of the NEO-PI-R were used to measure personality. More than 83% of the facet-well-being correlations within the domains of Neuroticism, Extraversion, and Conscientiousness reached statistical significance, whereas, less than half of the correlations within the domains of Agreeableness and Openness were significant. The facets within each domain demonstrated different patterns of associations with the well-being measures, indicating that facet-level assessments yield additional information.

Depressive symptoms and survival of patients with coronary artery disease.

OBJECTIVE: Multiple studies have shown that high levels of depressive symptoms increase the mortality risk of patients with established coronary disease. This investigation divided depressive symptoms into groups to assess their relative effectiveness in predicting survival. METHODS: Questionnaires about the presence of depressive symptoms were administered to 1250 patients with significant coronary disease while they were hospitalized for diagnostic coronary angiography. Follow-up for mortality due to cardiac disease was conducted annually for up to 19.4 years. Factor analysis was used to divide items on the Zung Self-Rating Depression Scale into four groups: Well-Being, Negative Affect, Somatic, and Appetite. In addition, responses to a single item regarding feelings of hopelessness were available for 920 patients. RESULTS: Well-Being and Somatic symptoms significantly predicted survival (p < or = .01). Negative Affect items were also related to survival (p = .0001) and interacted with age. A 2-SD difference in the Negative Affect term was associated with a relative risk of 1.29 for patients >50 years old and 1.70 for younger ones. Only Negative Affect remained significant in a model with the other symptom groups. Hopelessness also predicted survival with a relative risk of 1.5. Both the Hopelessness and Negative Affect items remained as independent predictors in the same model. All models controlled for severity of disease and treatment. With one exception (income and Hopelessness), results were essentially unchanged by additional controls for age, gender, and income. CONCLUSIONS: Depressive symptoms differentially predicted survival, with depressive affect and hopelessness being particularly important. These effects were independent of disease severity and somatic symptoms and may be especially important in younger patients.

Social support and quality of life in patients with coronary artery disease.

The relationship between perceived social support and domain-specific health-related quality of life (HRQOL) was examined in a sample of cardiac catheterization patients after considering age, gender, race, education, and coronary artery disease (CAD) severity. Data was collected on 4,278 cardiac catheterization patients (63% males) and included 1,215 patients with non-significant CAD and 3,063 patients who had significant CAD ( > or = 75% stenosis of at least one major coronary artery). Among the patients with significant CAD, 2,721 were classified as low disease severity and 342 were considered high disease severity. Regression models indicated that a lack of social support was associated with significantly lower levels of HRQOL across all eight SF-36 HRQOL domains after considering disease severity and other demographic factors. The models also indicated that social support and other relevant variables interacted across various HRQOL domains. Physical function and physical role function were lower with age, whereas mental health, emotional role function, and vitality were higher with age. Females reported lower HRQOL than males across all domains. Minority patients reported lower levels of HRQOL than white patients across four domains. Increased disease severity was related to lower levels among four of the eight HRQOL domains. The observed interactions of social support with minority status, disease severity, and education suggest that a subset of individuals may suffer lower levels of HRQOL. These individuals may subsequently require the greatest degree of care and potentially benefit most from intervention.

The association between self-rated health and mortality in a well-characterized sample of coronary artery disease patients.

BACKGROUND: The relationship between self-rated health and mortality after adjustment for sociodemographic variables, physician-rated comorbidities, disease severity, health-related quality of life (HRQOL), and psychosocial measures (depression, social support, and functional ability) was examined in the Mediators of Social Support (MOSS) study. SUBJECTS: The sample consisted of 2,885 individuals (mean age, 62.5 years) who had significant heart disease based upon heart catheterization. RESULTS. Using Cox proportional survival analysis, individuals who rated their health as "fair" or "poor" had a significantly greater likelihood of all-cause mortality (OR = 2.13; CI = 1.40-3.23; OR = 4.92; CI = 3.24-7.46, respectively) across follow-up (mean, 3.5 years) than those who rated their health as "very good" after considering sociodemographic factors. After adjustment for comorbidities, disease severity, HRQOL, psychosocial factors, and demographic variables, only those who rated their health as poor had a significant greater risk of mortality (OR = 2.96, CI = 1.80-4.85). A similar pattern was observed for coronary artery disease (CAD)-related mortality; increased adjustment of variables weakened the relationship between self-rated health and mortality. Individuals who rated their health as poor had a significantly greater risk of CAD-related mortality than did those who rated their health as very good (poor vs. very good OR = 3.58, CI = 2.13-6.02) after adjustment for all available mortality risk factors. CONCLUSIONS: This study indicates that it is important to include self-rated health when studying risk factors for mortality. Not adjusting for relevant factors may provide an overestimation of the effects of self-rated health on mortality in a sample of CAD patients.

The relationship between self-rated health and health status among coronary artery patients.

OBJECTIVES: This study examined the descriptive relationship of self-rated health (SRH) with various psychosocial measures, sociodemographic variables, coronary artery disease (CAD) diagnostic/clinical measures, and medically abstracted comorbidities. METHODS: The sample was 2,855 individuals from the Mediators of Social Support (MOSS) study who had at least 75% narrowing in more than one vessel, as indicated by a cardiac catheterization. RESULTS: After adjusting for sociodemographic factors, individuals who rated their health as poor/fair had significantly worse performance on all psychosocial measures and were more likely to be female, non-White, and of a lower socioeconomic status than those who rated their health as being good or better. There were few differences on SRH across various diagnostic/clinical measures of health. DISCUSSION: A single item measure of SRH may be useful; the generalizability of the item must be considered. In this sample of CAD patients, SRH was related more to psychosocial factors than to clinical and disease indicators.

Social support and hostility as predictors of depressive symptoms in cardiac patients one month after hospitalization: a prospective study.

OBJECTIVE: Hospitalization for cardiac disease is associated with an increased risk for depression, which itself confers a poorer prognosis. Few prospective studies have examined the determinants of depression after hospitalization in cardiac patients, and even fewer have examined depression within the weeks after hospital discharge. The present study assessed the prospective relations among perceptions of social support and trait hostility in predicting symptoms of depressive symptoms at 1 month after hospitalization for a diagnostic angiography in 506 coronary artery disease (CAD) patients. METHOD: A series of structural equation models 1) estimated the predictive relations of social support, hostility, and depressive symptoms while in the hospital to symptoms of depression 1 month after hospitalization, and 2) compared these relations across gender, predicted risk classification, and age. RESULTS: Social support assessed during hospitalization was independently negatively associated with depressive symptoms 1 month after hospitalization, after controlling for baseline symptoms of depression, gender, disease severity, and age. Hostility was an indirect predictor of postdischarge depressive symptomology by way of its negative relation with social support. This pattern of relations did not differ across gender, predicted risk classification, and age. CONCLUSIONS: Our findings suggest that a patient's perceived social support during hospitalization is a determinant of depressive symptoms 1 month later. The relation of social support and hostility to subsequent depressive symptoms was similar across a variety of populations.

Measures of hostility as predictors of facial affect during social interaction: evidence for construct validity.

We assessed the construct validity of several self-report measures and an interview-based measure of hostility (Interpersonal Hostility Assessment Technique [IHAT]) by evaluating their associations with a behavioral indicator of hostile emotions (facial expressions during social interaction). Participants in the study were 123 volunteers (44% males and 56% females) who were recruited from local community organizations. Self-report measures (Cook-Medley Hostility Scale, Rotter Interpersonal Trust Scale, Buss-Durkee Hostility Inventory, and Spielberger Anger Expression Scale) were represented by factor scores reflecting Overt Hostility, Covert Hostility, and Hostile Beliefs. A canonical correlation analysis identified significant associations between a set of facial affect scores reflecting animosity and various measures of hostility. Specifically, increases in anger and disgust expressions and decreases in happy facial expressions were associated with high IHAT scores and high scores on self-report measures of Hostile Beliefs and Covert Hostility. Women were more expressive than men, especially concerning positive affect, and women had lower scores on self-report measures of Hostile Beliefs and Overt Hostility. IHAT scores were uncorrelated with any of the self-report factors which suggests the two assessment techniques are tapping different aspects of the hostility construct.

Trust, health, and longevity.

Scores on the Rotter Interpersonal Trust Scale were evaluated as predictors of psychological well-being, functional health, and longevity in a sample of 100 men and women who were between 55 and 80 years old at baseline (mean age 66.8). Cross-sectionally, high levels of trust were associated with better self-rated health and more life satisfaction. Follow-up over approximately 8 years found baseline levels of trust to be positively related to subsequent functional health, but not to subsequent life satisfaction. Mortality follow-up after 14 years demonstrated that those with high levels of trust had longer survival (p = .03), a finding that was somewhat weakened by controlling for baseline health ratings. These findings illustrate the health protective effects of high levels of trust and suggest the potential usefulness of the trust concept for understanding successful aging.