Risk factors for prehypertension in the community: a prospective analysis from the Western New York Health Study.

BACKGROUND AND AIM: Prehypertension is an increasingly highly prevalent condition in the general population, and is associated with an increased risk for coronary heart disease and stroke. However, evidence from population-based studies of the risk factors for prehypertension is scant. We sought to examine the predictors of progression from normotension to prehypertension in a community-based population from Western New York. METHODS AND RESULTS: A longitudinal analysis, over 6 years of follow-up, among 569 men and women (mean age 51.8 years) who were free of prehypertension, hypertension, cardiovascular disease and diabetes at the baseline examination, in the Western New York Health Study (WNYHS). Incident prehypertension at follow-up was defined as systolic blood pressure of 120-139 mm Hg and/or diastolic blood pressure of 80-89 mm Hg. The cumulative six year incidence of prehypertension was 33.5% (189/564). In bivariate analyses, there were several correlates of incident prehypertension, including age, BMI and waist circumference, impaired fasting glucose (IFG), uric acid, and baseline blood pressure levels. After multivariate adjustment, IFG at baseline [odds ratio (OR): 1.70, 95% CI: 1.07-2.69) and weight gain since age 25 (OR: 1.12, 1.04-1.21 per 10 lb increase)] were the strongest significant predictors of prehypertension at follow-up. Neither baseline waist circumference nor change in BMI were predictor variables in models when they were substituted for weight gain. CONCLUSIONS: Results from this study suggest early dysregulation of glucose metabolism and weight gain over the lifespan may represent important risk factors for prehypertension in the general population.

The Mattis Dementia Rating Scale in nursing home octogenarians and nonagenarians: effects of age and education.

Despite their increasing representation in the population, little is known about the neuropsychological test performance of the oldest old, particularly those who live in residential settings. Limited published data and clinical experience suggest that this group is more likely to perform in the impaired range on standardized tests when cut-offs developed with younger groups are used. We examined the Dementia Rating Scale (DRS) performance of 82 nondemented nursing home residents, aged 80 to 99, with a mean education level of 11 years. Using published norms and cutoffs, a large percentage of this sample performed in the impaired range, particularly on the initiation and conceptualization subtests and on the total score. Education, but not age, was significantly related to performance in this sample. Percentages of patients misclassified were substantial in all groups, but were higher in those with less than 13 years of education. Using a lower total-score cutoff of 110 reduced the percentage of misclassifications markedly. We recommend the development and use of revised cutoff scores for the evaluation of very elderly nursing home residents.

Anthropometric measurements for prediction of metabolic risk among Chinese adults in Pudong new area of Shanghai.

BACKGROUND: Numerous studies have demonstrated the ability of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) to predict the risk of type 2 diabetes mellitus (T2DM) and cardiovascular diseases (CVD). This study aimed to evaluate the predictive value of these anthropometries for metabolic abnormalities and related diseases in Chinese adults. MATERIAL & METHODS: A cross-sectional study was conducted in 2 477 men and 3 107 women at 20-79 years old who were randomly selected from Pudong New Area of Shanghai, China, through a multistage sampling process. Anthropometric variables and blood pressure were measured according to a standardized protocol, and a fasting blood sample was collected from each subject for biochemical analysis. RESULTS: Prevalence of the metabolic syndrome was observed to increase with increasing BMI, WC, WHR and WHtR in both sexes. Participants with any metabolic abnormality had a higher body size than those without. The associations of anthropometries with each metabolic factor were significant and equal for BMI, WC, WHR and WHtR. Areas under the receiver operating characteristic curves (AUC) ranged from 0.59 to 0.72 across the 4 anthropometries in predicting individual and clusters of metabolic factors. However, none of the 4 anthropometries identified newly-diagnosed T2DM or hypertension with a high sensitivity or specificity. CONCLUSION: Our findings suggest that the independent use of BMI, WC, WHR, or WHtR may not be an effective tool to predict metabolic factors and related chronic diseases in Chinese adults.