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1.
Psychosom Med ; 65(6): 1003-11, 2003.
Article in English | MEDLINE | ID: mdl-14645779

ABSTRACT

OBJECTIVE: This study examined aspects of the transactional model of hostility and health by investigating relationships among hostility, interpersonal interactions, and ambulatory blood pressure in a healthy community sample. MATERIALS AND METHODS: Participants included 65 female and 39 male healthy adults between the ages of 18 and 46 years. Ambulatory blood pressure (ABP) and diary data on mood and social interactions were obtained every 20 minutes for 1 day. Mixed models regression analyses were used to evaluate the relationships among hostility, interpersonal interactions, and ABP. RESULTS: Trait hostility was positively associated with the frequency and intensity of negative interactions and was negatively associated with the frequency and intensity of positive interactions. Interacting with others was associated with increases in systolic blood pressure (SBP) and diastolic blood pressure (DBP). The magnitude of the increase in blood pressure was positively associated with the degree to which the interaction was perceived as negative. Hostility was not directly associated with ABP/heart rate (HR) or ABP/HR responses during any interactions or negative interactions. However, there was an interaction between hostility and negative interaction intensity for DBP, suggesting that hostility moderates the effects of negative interactions on DBP. Specifically, increases in the intensity of negative interactions were associated with increases in DBP for participants with high, but not low, hostility. CONCLUSIONS: The results provide partial support for the notion that hostility may be associated with risk for cardiovascular disease through its effects on interpersonal interactions and their cardiovascular correlates.


Subject(s)
Blood Pressure , Hostility , Interpersonal Relations , Adolescent , Adult , Affect , Blood Pressure Monitoring, Ambulatory , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/psychology , Female , Heart Rate , Humans , Male , Medical Records , Middle Aged , New York City , Risk Factors
2.
Ann Behav Med ; 25(1): 55-65, 2003.
Article in English | MEDLINE | ID: mdl-12581937

ABSTRACT

Racial disparities in health, including elevated rates of hypertension (HT) among Blacks, are widely recognized and a matter of serious concern. Researchers have hypothesized that social stress, and in particular exposure to racism, may account for some of the between-group differences in the prevalence of HT and a portion of the within-group variations in risk for HT. However, there have been surprisingly few empirical studies of the relationship between perceived racism and blood pressure (BP) or cardiovascular reactivity (CVR), a possible marker of mechanisms culminating in cardiovascular disease. This article reviews published literature investigating the relationship of perceived racism to HT-related variables, including self-reported history of HT, BP level, or CVR. Strengths and weaknesses of the existing research are discussed to permit the identification of research areas that may elucidate the biopsychosocial mechanisms potentially linking racism to HT. We hope to encourage investigators to invest in research on the health effects of racism because a sound and detailed knowledge base in this area is necessary to address racial disparities in health.


Subject(s)
Black or African American/psychology , Blood Pressure/physiology , Hypertension/psychology , Models, Psychological , Prejudice , Humans , Hypertension/etiology , Perception , Social Behavior
3.
J Am Acad Child Adolesc Psychiatry ; 41(3): 269-77, 2002 Mar.
Article in English | MEDLINE | ID: mdl-11886021

ABSTRACT

OBJECTIVE: To explore whether socioeconomic status (SES) variables moderate treatment response of attention-deficit/hyperactivity disorder (ADHD) to medication management (MedMgt), behavioral treatment (Beh), combined intervention (Comb), and routine community care (CC). METHOD: The MTA Cooperative Group's intent-to-treat (ITT) analyses were repeated, covarying for composite Hollingshead SES, education, occupation, income, and marital status. RESULTS: Individual SES variables were more informative than the composite Hollingshead Index. Treatment response of children from less educated households paralleled ITT outcomes: no significant difference was found between Comb and MedMgt (both better than Beh and CC) for core ADHD symptoms. However, children from more educated families showed superior reduction of ADHD symptoms with Comb. For oppositional-aggressive symptoms, children from blue-collar, lower SES households benefited most from Comb, whereas those from white-collar, higher SES homes generally showed no differential treatment response. Household income and marital status failed to influence outcomes. Controlling for treatment attendance attenuated the moderating effects of the SES variables only for MedMgt. CONCLUSIONS: Investigators are encouraged to use independent SES variables for maximal explanation of SES effects. Clinicians should prioritize target symptoms and consider the mediating role of treatment adherence when determining an ADHD patient's optimal intervention plan.


Subject(s)
Attention Deficit Disorder with Hyperactivity/therapy , Attention Deficit Disorder with Hyperactivity/diagnosis , Child , Female , Humans , Male , Psychiatric Status Rating Scales , Random Allocation , Severity of Illness Index , Socioeconomic Factors , Surveys and Questionnaires , Treatment Outcome
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