Temporal trends in cardiovascular disease and diabetes prevalence in the United States: assessing compression versus expansion

Figures

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  Fig. 1. Smoothed weighted prevalence curves for diabetes and CVDs. Shaded areas represent smoothing standard deviation. For clarity, only two cohorts are shown. The remaining cohorts lie between these extremes, following the expected progression across birth cohorts.

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  Fig. 2. Estimated probability of diabetes and cardiovascular disease by age and cohort. Shaded areas represent 95% confidence intervals. Reference group is characterized as: male, smoker, living in the South, some college education, in poverty, black, BMI = 35. For clarity, only two cohorts are shown. The remaining cohorts lie between these extremes, following the expected progression across birth cohorts.

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  Fig. 3. Diabetes and cardiovascular diseases morbidity curve for age and BMI levels. Shaded areas show 95% confidence intervals based on the logistic model. Reference group is characterized as: living in south, black, smoker, male, some college, in poverty, born in 1952. Note: y-axis differs between the two side-to-side figures.

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  Fig. 4. Estimated probability of diabetes and cardiovascular disease by age and household income. Shaded areas represent 95% confidence intervals. Reference group is characterized as: female, smoker, living in the South, born in 1952, white, some college education, BMI = 28.

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  Fig. 5. Estimated probability of diabetes and cardiovascular disease by age and the United States census region. Reference group is characterized as: male, smoker, some college education, white, BMI = 28, born in 1952.

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  Fig. 6. Estimated probability of diabetes and cardiovascular disease by age and ethnicity. Shaded areas represent 95% confidence intervals. Reference group is characterized as: male, smoker, living in the South, some college education, in poverty, born in 1952, BMI = 28. Note: y-axis differs between the two side-to-side figures.

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  Fig. 7. Weighted prevalence curves across cohorts for overweight (left) and low income (right; less than \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\$25{,}000$$\end{document} in inflation-adjusted yearly household income). For clarity, only two cohorts are shown. The remaining cohorts lie between these extremes, following the expected progression across birth cohorts. Weighting was carried out using the BRFSS-provided weights based on ethnicity, sex at birth, age and county.