The primary goal of this research project is to describe secular trends in cardiovascular risk factors in the adolescent and adult U.S. population and to develop and evaluate predictive models involving these secular trends and relevant covariables utilizing data from the National Health and Nutrition Examination Surveys (NHES I, NHANES I, NHANES II). A parallel goal is to modify and implement the statistical methodology available for the analysis of complex sample survey data in order to model and test these secular trends across separate nationally representative cross-sectional samples. Considerable progress has been made in both of these goals with particular emphasis on factors associated with secular trends in body mass index for adolescents and young adults and trends in blood pressure for both young and older Americans. This proposal requests support to expand on the originally proposed specific aims and to introduce a major new thrust in the analysis of the National Health and Nutrition Examination Surveys. This new initiative proposes to develop statistical methods for analyzing HES/NHANES data on blood pressure and other cardiovascular risk factors taking account of the increasing proportion of persons in the population under treatment across the time period under investigation. Powerful statistical methods for producing and analyzing multiple imputation data sets will be implemented and investigated using sensitivity analysis methods. Specifically, the aims of this project over the next grant period are to: 1) Expand the investigation of trends in body mass index from the younger adults to the older adult ages 35-74; 2) Describe secular trend in serum lipids for both young and older adults; 3) Develop and evaluate predictive models for blood pressure under alternate assumptions regarding treatment status effects; 4) Develop computing software for implementing the multiple imputation methods and produce public use analysis files for other investigators; 5) Analyze imputed data set to determine effects of imputation adjustments on assessments of secular trends and conduct sensitivity analyses to determine the effects of model assumptions; 6) Expand the scope of the imputation work to include other cardiovascular risk factors; 7) Implement, modify and compare recently developed statistical software for the analysis of complex sample survey data; 8) Provide guidelines in the choice of analytical strategies that characterize secular trends across nationally representative cross- sectional samples; 9) Compare estimated secular trends across nationally representative cross-sectional samples; 9) Compare estimated secular trends from cross-sectional data with longitudinally derived estimators from the NHANES I Follow-up Study (NHEFS).

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL033407-09
Application #
3345300
Study Section
Epidemiology and Disease Control Subcommittee 2 (EDC)
Project Start
1984-12-01
Project End
1994-03-31
Budget Start
1992-04-01
Budget End
1994-03-31
Support Year
9
Fiscal Year
1992
Total Cost
Indirect Cost
Name
Pennsylvania State University
Department
Type
Schools of Medicine
DUNS #
129348186
City
Hershey
State
PA
Country
United States
Zip Code
17033
Kumanyika, S K; Landis, J R; Matthews-Cook, Y L et al. (1998) Systolic blood pressure trends in US adults between 1960 and 1980: influence of antihypertensive drug therapy. Am J Epidemiol 148:528-38
Basu, S; Landis, J R (1995) Model-based estimation of population attributable risk under cross-sectional sampling. Am J Epidemiol 142:1338-43
Kumanyika, S K; Landis, J R; Matthews, Y L et al. (1994) Secular trends in blood pressure among adult blacks and whites aged 18-34 years in two body mass index strata, United States, 1960-1980. Am J Epidemiol 139:141-54
Miller, M E; Davis, C S; Landis, J R (1993) The analysis of longitudinal polytomous data: generalized estimating equations and connections with weighted least squares. Biometrics 49:1033-44
Heitjan, D F (1993) Ignorability and coarse data: some biomedical examples. Biometrics 49:1099-109
Harlan, W R; Landis, J R; Flegal, K M et al. (1988) Secular trends in body mass in the United States, 1960-1980. Am J Epidemiol 128:1065-74
Flegal, K M; Harlan, W R; Landis, J R (1988) Secular trends in body mass index and skinfold thickness with socioeconomic factors in young adult women. Am J Clin Nutr 48:535-43
Landis, J R; Flegal, K M (1988) A generalized Mantel-Haenszel analysis of the regression of blood pressure on blood lead using NHANES II data. Environ Health Perspect 78:35-41
Flegal, K M; Harlan, W R; Landis, J R (1988) Secular trends in body mass index and skinfold thickness with socioeconomic factors in young adult men. Am J Clin Nutr 48:544-51
Harlan, L C; Harlan, W R; Landis, J R et al. (1987) Factors associated with glucose tolerance in adults in the United States. Am J Epidemiol 126:674-84

Showing the most recent 10 out of 11 publications