Implications of a health lifestyle and medication analysis for improving XXXX control.

@entity1 @entity167 @entity101 @entity28
BACKGROUND: National Health and Nutritional Examination surveys have documented poor rates of @entity101 treatment and control, leading to preventable morbidity and mortality. OBJECTIVES: To examine covariation in the medication and health lifestyle beliefs and behaviors of @entity1 with @entity101 to identify and profile distinct subgroups of @entity1 . METHODS: A sample of 727 @entity1 with @entity101 , weighted to match the 1992 National Health Interview Survey age and sex distribution of @entity1 with @entity101 , was interviewed by telephone about their beliefs and behaviors regarding @entity101 and its management. Cluster analysis of key variables was used to identify 4 @entity1 types. RESULTS: Subgroups differed significantly. Group A members use an effective mix of medication and health lifestyle regimens to control blood pressure. Group B members are most likely to depend on medication and have high adherence rates. Yet they also have high rates of smoking (29%) and @entity167 use (average, 104 times per year) and are less likely to exercise regularly. Group C members are most likely to forget to take medication, are likely to be @entity28 , and find it most difficult to comply with lifestyle changes (except for very low rates of smoking and @entity167 use). Group D members are least likely to take medication, most likely to change or stop medication without consulting their physician (20%), most likely to smoke (40%), and least likely to control diet (29%). Group A and B members have better health outcomes than group C and D members. CONCLUSIONS: Optimal management strategies are likely to differ for the 4 @entity1 types. Further research should be conducted to validate these findings on a separate sample and to devise and test tailored management algorithms for @entity101 compliance and control.
