Stress, social support and housing are related to health status among HIV-positive persons in the deep south of the United States.

Self-report health status measures are consistently associated with medical outcomes and are cost-effective. Studies using such measures find that those who live in rural areas or have limited access to support experience poorer health status and poorer outcomes. A survey addressing these issues was administered to 401 HIV-positive persons throughout Alabama. Hierarchical regression models examined the relation of housing stability, stress, substance use and other variables to physical (PCS) and mental (MCS) health status. The sample was 34% female and 66% African-American. Most were receiving antiretroviral medications, and nearly 20% were in unstable housing. Age showed a significant negative relationship to health status. CD4 cell count (p < 0.01) was positively associated with PCS; perceived general stress (p < 0.02) and housing stability (p < 0.04) were negatively associated. The model accounted for 14% of the variance in PCS (p < 0.001). For MCS, general stress (p < 0.001) was negatively associated and substance use tended towards a negative association (p < 0.075). Social support (p < 0.02) was positively associated with MCS. The model accounted for nearly 31% of the MCS variance (p < 0.001). Health status among HIV-positive persons may be improved by assessing and addressing social issues such as social isolation, life stressors and housing.

Psychosocial and health status variables independently predict health care seeking in fibromyalgia.

OBJECTIVE: To determine whether variables derived from the self-regulatory model of health and illness behavior accurately predict status as a patient or nonpatient with fibromyalgia (FM). METHODS: Subjects were 79 patients who met American College of Rheumatology (ACR) criteria for FM and 39 community residents who met ACR criteria for FM but had not sought medical care for their symptoms (nonpatients). Subjects were administered 14 measures that produced 6 domains of variables: background demographics and pain duration; psychiatric morbidity; and personality, environmental, cognitive, and health status factors. These domains were entered in 4 different hierarchical logistic regression analyses to predict status as patient or nonpatient. RESULTS: The full regression model was statistically significant (P < 0.0001) and correctly identified 90.7% of the subjects with a sensitivity of 92.4% and a specificity of 87.2%. The best individual predictors of group status were self-reports of self-efficacy, negative affect, recent stressful events, and perceived pain. Relative to nonpatients, patients reported higher levels of negative affect and perceived pain and a greater number of recent stressful experiences, as well as lower levels of self-efficacy. CONCLUSION: Consistent with the self-regulatory model of health and illness behavior, psychosocial and health status variables predict health care-seeking behavior in persons with FM independently of background demographics and psychiatric morbidity. These variables may influence the severity of symptoms experienced by persons with this disorder as well as their health care-seeking behavior, but they are not necessary to produce abnormal pain sensitivity in FM.