The impact of social support networks on compliance with hypertensive therapeutic regimens among noninstitutionalized black adults

Elizabeth Mary Hughes, The University of Texas School of Public Health

Abstract

A conceptual framework based on the Health Belief Model was proposed which identified those factors most significant in the prediction of compliance behavior. The hypothesized model was applied to analyze the effects of sociodemographic characteristics, self-assessed health status, and social support networks on compliance with antihypertensive regimens, focusing on black adults. The study population was selected from the National Health and Examination Survey II (NHANES II) which produced a sample of 3,957 eligible persons 35-74 years of age. The study addressed the following research questions: (a) what is the relationship between demographic variables and self-assessed health status, (b) what is the relationship between social support network and self-assessed health status, (c) what is the compliance, (d) what factors, e.g., demographic characteristics, social support network, self-assessed health status, are most related to compliance, and (e) does the effect of these factors on compliance differ between black and white adults? The results of the study found that blacks: (a) had poorer health than whites, and education and income were significantly related to self-assessed health status, (b) the stronger social support networks of blacks, the better their health status, and (c) older blacks and those in poorer health were more likely to comply with recommended treatment. The hypothesized conceptual model for the prediction of compliance behavior was partially substantiated for both blacks and whites. Implications for the application of the conceptual model are also discussed.

Subject Area

Public health|Behaviorial sciences

Recommended Citation

Hughes, Elizabeth Mary, "The impact of social support networks on compliance with hypertensive therapeutic regimens among noninstitutionalized black adults" (1993). Texas Medical Center Dissertations (via ProQuest). AAI9401773.
https://digitalcommons.library.tmc.edu/dissertations/AAI9401773

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