Health characteristics of adults 55 years of age and over, United States, 2000-2003

"OBJECTIVE: This report highlights the health characteristics of four age groups of older adults-55-64 years, 65-74 years, 75-84 years, and 85 years and over-providing estimates by sex, race and Hispanic origin, poverty status, health insurance status, and marital status. METHODS: The estimates in this report were derived from the 2000-2003--National Health Interview Surveys' Family and Sample Adult questionnaires. Estimates are based on interviews with 39,990 sample adults aged 55 years and over. RESULTS: Overall, prevalence rates for fair or poor health, chronic health conditions (with the exception of diabetes), sensory impairments, and difficulties with physical and social activities increased with advancing age, doubling or even tripling between the age groups 55-64 and 85 years and over. About one in five adults aged 55-64 years were in fair or poor health, rising to about one-third of adults aged 85 years and over. Men and women were about equally likely to be in fair or poor health across the age groups studied, but women were more likely to have difficulty in physical or social activities. Sociodemographic variations in health were noted across the age groups studied, with the most consistent and striking results found for poverty status and health insurance coverage. Poor and near poor adults and those with public health insurance were, by far, the most disadvantaged groups of older adults in terms of health status, health care utilization, and health behaviors. CONCLUSIONS: Health status, health care utilization, and health-promoting behaviors among adults aged 55 and over vary considerably by age and other sociodemographic characteristics. Identifying these variations can help government and private agencies pinpoint areas of greatest need and greatest opportunity for extending years of healthy life among the Nation's seniors."by Charlotte A. Schoenborn, Jackline L. Vickerie, and Eve Powell-Griner.Caption title."April 11, 2006."Also available via the World Wide Web

Summary health statistics for the U.S. population: National Health Interview Survey, 2000

Authors, Charlotte A. Schoenborn, Patricia F. Adams, and Jeannine S. Schiller, Division of Health Interview Statistics."November 2003."Also available via the World Wide Web.Includes bibliographical references (p. 7)

Accuracy and usefulness of BMI measures based on self-reported weight and height: findings from the NHANES & NHIS 2001-2006

<p>Abstract</p> <p>Background</p> <p>The Body Mass Index (BMI) based on self-reported height and weight ("self-reported BMI") in epidemiologic studies is subject to measurement error. However, because of the ease and efficiency in gathering height and weight information through interviews, it remains important to assess the extent of error present in self-reported BMI measures and to explore possible adjustment factors as well as valid uses of such self-reported measures.</p> <p>Methods</p> <p>Using the combined 2001-2006 data from the continuous National Health and Nutrition Examination Survey, discrepancies between BMI measures based on self-reported and physical height and weight measures are estimated and socio-demographic predictors of such discrepancies are identified. Employing adjustments derived from the socio-demographic predictors, the self-reported measures of height and weight in the 2001-2006 National Health Interview Survey are used for population estimates of overweight & obesity as well as the prediction of health risks associated with large BMI values. The analysis relies on two-way frequency tables as well as linear and logistic regression models. All point and variance estimates take into account the complex survey design of the studies involved.</p> <p>Results</p> <p>Self-reported BMI values tend to overestimate measured BMI values at the low end of the BMI scale (< 22) and underestimate BMI values at the high end, particularly at values > 28. The discrepancies also vary systematically with age (younger and older respondents underestimate their BMI more than respondents aged 42-55), gender and the ethnic/racial background of the respondents. BMI scores, adjusted for socio-demographic characteristics of the respondents, tend to narrow, but do not eliminate misclassification of obese people as merely overweight, but health risk estimates associated with variations in BMI values are virtually the same, whether based on self-report or measured BMI values.</p> <p>Conclusion</p> <p>BMI values based on self-reported height and weight, if corrected for biases associated with socio-demographic characteristics of the survey respondents, can be used to estimate health risks associated with variations in BMI, particularly when using parametric prediction models.</p

Initiation of T cell signaling by CD45 segregation at 'close contacts'.

It has been proposed that the local segregation of kinases and the tyrosine phosphatase CD45 underpins T cell antigen receptor (TCR) triggering, but how such segregation occurs and whether it can initiate signaling is unclear. Using structural and biophysical analysis, we show that the extracellular region of CD45 is rigid and extends beyond the distance spanned by TCR-ligand complexes, implying that sites of TCR-ligand engagement would sterically exclude CD45. We also show that the formation of 'close contacts', new structures characterized by spontaneous CD45 and kinase segregation at the submicron-scale, initiates signaling even when TCR ligands are absent. Our work reveals the structural basis for, and the potent signaling effects of, local CD45 and kinase segregation. TCR ligands have the potential to heighten signaling simply by holding receptors in close contacts.The authors thank R.A. Cornall, M.L. Dustin and P.A. van der Merwe for comments on the manuscript and S. Ikemizu for useful discussions about the structure. We also thank W. Lu and T. Walter for technical support with protein expression and crystallization, the staff at Diamond Light Source beamlines I02, I03 and I04-1 (proposal mx10627) and European Synchrotron Radiation Facility beamlines ID23EH1 and ID23EH2 for assistance at the synchrotrons, G. Sutton for assistance with MALS experiments, and M. Fritzsche for advice on the calcium analysis. This work was funded by the Wellcome Trust (098274/Z/12/Z to S.J.D.; 090532/Z/09/Z to R.J.C.G.; 090708/Z/09/Z to D.K.), the UK Medical Research Council (G0700232 to A.R.A.), the Royal Society (UF120277 to S.F.L.) and Cancer Research UK (C20724/A14414 to C.S.; C375/A10976 to E.Y.J.). The Oxford Division of Structural Biology is part of the Wellcome Trust Centre for Human Genetics, Wellcome Trust Core Award Grant Number 090532/Z/09/Z. We acknowledge financial support from Instruct, an ESFRI Landmark Project. The OPIC electron microscopy facility was funded by a Wellcome Trust JIF award (060208/Z/00/Z).This is the author accepted manuscript. The final version is available from Nature Publishing Group via https://doi.org/10.1038/ni.339