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      Evaluating the Framingham Hypertension Risk Prediction Model in Young Adults : The Coronary Artery Risk Development in Young Adults (CARDIA) Study

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          Abstract

          A prediction model was developed in the Framingham Heart Study (FHS) to evaluate the short-term risk of hypertension. Our goal was to determine the predictive ability of the FHS hypertension model in a cohort of young adults advancing into middle age and compare it with the predictive ability of prehypertension and individual components of the FHS model. We studied 4388 participants, aged 18 to 30 years without hypertension at baseline, enrolled in the Coronary Artery Risk Development in Young Adults (CARDIA) Study, who participated in 2 consecutive examinations occurring 5 years apart between the baseline (1985-1986) and year 25 examination (2010-2011). Weibull regression was used to assess the association of the FHS model overall, individual components of the FHS model, and prehypertension with incident hypertension. During the 25-year follow-up period, 1179 participants developed incident hypertension. The FHS hypertension model (c-index=0.84; 95% confidence interval, 0.83-0.85) performed well in discriminating those who did and did not develop hypertension and was better than prehypertension alone (c-index=0.71; 95% confidence interval, 0.70-0.73). The predicted risk from the FHS hypertension model was systematically lower than the observed hypertension incidence initially (χ(2)=249.4; P<0.001) but demonstrated a good fit after recalibration (χ(2)=14.6; P=0.067). In summary, the FHS model performed better than prehypertension and may be a useful tool for identifying young adults with a high risk for developing hypertension.

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          Most cited references17

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          Assessment of frequency of progression to hypertension in non-hypertensive participants in the Framingham Heart Study: a cohort study.

          Patients with optimum ( 140/90 mm Hg) over time. We aimed to establish the best frequency of BP screening by assessing the rates and determinants of progression to hypertension. We assessed repeated BP measurements in individuals without hypertension (BP<140/90 mm Hg) from the Framingham Study (4200 men, 5645 women; mean age 52 years) who attended clinic examinations during 1978-94. The incidence of hypertension (or use of antihypertensive treatment) and its determinants were studied. A stepwise increase in hypertension incidence occurred across the three non-hypertensive BP categories; 5.3% (95% CI 4.4-6.3%) of participants with optimum BP, 17.6% (15.2-20.3%) with normal, and 37.3% (33.3-41.5%) with high normal BP aged below age 65 years progressed to hypertension over 4 years. Corresponding 4-year rates of progression for patients 65 years and older were 16.0% (12.0-20.9), 25.5% (20.4-31.4), and 49.5% (42.6-56.4), respectively. Obesity and weight gain also contributed to progression; a 5% weight gain on follow-up was associated with 20-30% increased odds of hypertension. High normal BP and normal BP frequently progress to hypertension over a period of 4 years, especially in older adults. These findings support recommendations for monitoring individuals with high normal BP once a year, and monitoring those with normal BP every 2 years, and they emphasise the importance of weight control as a measure for primary prevention of hypertension.
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            Modelling Survival Data in Medical Research

            D Collett (1994)
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              Status of cardiovascular health in US adults: prevalence estimates from the National Health and Nutrition Examination Surveys (NHANES) 2003-2008.

              The American Heart Association's 2020 Strategic Impact Goals define a new concept, cardiovascular (CV) health; however, current prevalence estimates of the status of CV health in US adults according to age, sex, and race/ethnicity have not been published. We included 14 515 adults (≥20 years of age) from the 2003 to 2008 National Health and Nutrition Examination Surveys. Participants were stratified by young (20-39 years), middle (40-64 years), and older (≥65 years) ages. CV health behaviors (diet, physical activity, body mass index, smoking) and CV health factors (blood pressure, total cholesterol, fasting blood glucose, smoking) were defined as poor, intermediate, or ideal. Fewer than 1% of adults exhibited ideal CV health for all 7 metrics. For CV health behaviors, nonsmoking was most prevalent (range, 60.2%-90.4%), whereas ideal Healthy Diet Score was least prevalent (range, 0.2%-2.6%) across groups. Prevalences of ideal body mass index (range, 36.5%-45.3%) and ideal physical activity levels (range, 50.2%-58.8%) were higher in young adults compared with middle or older ages. Ideal total cholesterol (range, 23.7%-36.2%), blood pressure (range, 11.9%-16.3%), and fasting blood glucose (range, 31.2%-42.9%) were lower in older adults compared with young and middle-aged adults. Prevalence of poor CV health factors was lowest in young age but higher at middle and older ages. Prevalence estimates by age and sex were consistent across race/ethnic groups. These prevalence estimates of CV health represent a starting point from which effectiveness of efforts to promote CV health and prevent CV disease can be monitored and compared in US adult populations.
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                Author and article information

                Journal
                Hypertension
                Hypertension
                Ovid Technologies (Wolters Kluwer Health)
                0194-911X
                1524-4563
                December 2013
                December 2013
                : 62
                : 6
                : 1015-1020
                Affiliations
                [1 ]From the Department of Epidemiology (A.P.C., P.M.), and Department of Medicine (C.E.L., P.M.), University of Alabama at Birmingham; Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (D.R.J., L.M.S.); Department of Medicine, University of California, San Francisco (C.A.P.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (J.K.B.); and Department of Quantitative Health Sciences, University...
                Article
                10.1161/HYPERTENSIONAHA.113.01539
                4019674
                24041951
                c897c24b-aef1-465b-97fa-d914ce285f37
                © 2013
                History

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