Obesity and pre-hypertension in family medicine: implications for quality improvement.
BACKGROUND
Prevention of pre-hypertension is an important goal for primary care patients. Obesity is a risk factor for hypertension, but has not been addressed for pre-hypertension in primary care populations. The objective of this study was to assess the degree to which obesity independently is associated with risk for pre-hypertension in family medicine patients.


METHODS
This study was a retrospective analysis of information abstracted from medical records of 707 adult patients. Multivariable logistic regression was used to test the relationship between body mass index (BMI) and pre-hypertension, after adjustment for comorbidity and demographic characteristics. Pre-hypertension was defined as systolic pressure between 120 and 139 mm Hg or diastolic pressure between 80 and 89 mm Hg.


RESULTS
In our sample, 42.9% of patients were pre-hypertensive. Logistic regression analysis revealed that, in comparison to patients with normal body mass, patients with BMI > 35 had higher adjusted odds of being pre-hypertensive (OR = 4.5, CI 2.55-8.11, p < .01). BMI between 30 and 35 also was significant (OR = 2.7, CI 1.61-4.63, p < 0.01) as was overweight (OR = 1.8, CI 1.14-2.92, p = 0.01).


CONCLUSIONS
In our sample of family medicine patients, elevated BMI is a risk factor for pre-hypertension, especially BMI > 35. This relationship appears to be independent of age, gender, marital status and comorbidity. Weight loss intervention for obese patients, including patient education or referral to weight loss programs, might be effective for prevention of pre-hypertension and thus should be considered as a potential quality indicator.
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001794:Blood Pressure / Q000502:physiology; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000209:etiology; D015897:Comorbidity; D005260:Female; D006801:Humans; D006973:Hypertension / Q000453:epidemiology / Q000209:etiology*; D016015:Logistic Models; D008297:Male; D017533:Marital Status; D008875:Middle Aged; D009765:Obesity / Q000150:complications*; D011320:Primary Health Care / Q000706:statistics & numerical data*; D011785:Quality Assurance, Health Care / Q000592:standards*; D012189:Retrospective Studies; D012307:Risk Factors