Online Lab Talk
Comparing the educational gradients in three CVD-specific health measures to reveal differences across stages of the disease process
Online Lab Talk via Zoom, September 22, 2020
On Tuesday, September 22 at 1 p.m. (Rostock time) Rasmus Hoffmann, guest researcher at the Population Health Laboratory at MPIDR gives an Online Lab Talk about the comparison of educational gradients in three disease-specific health measures in order to compare their relevance in different stages of the disease process.
Less educated persons have worse cardiovascular health. We compare the educational gradients in three disease-specific health measures (biomarkers, self-reported doctors’ diagnoses and cause-specific mortality) in order to compare their relevance in different stages of the disease process. We study 14,102 people aged 50-89 from the US Health Retirement Study (HRS) in the period 2006-2017. We use six CVD biomarkers (systolic/diastolic blood pressure, ratio total/HDL cholesterol, C-reactive protein, body mass index, HbA1c), and two self-reported doctors’ diagnoses (stroke, heart attack). We estimate the gradient in biomarkers using log-binomial regression and the hazard of diagnoses and CVD-mortality with Cox survival models. Among those without pre-diagnosed CVD conditions, the educational gradient in mortality is highest (RR 1.97), the gradient for those who receive a CVD diagnosis is in the middle (RR 1.46), and the gradient in biomarkers is lowest (RR 1.32). Among those with recent/older diagnoses, the biomarker gradient is comparable to levels among the non-diagnosed, while the mortality gradient is much lower (RR 1.35). The gradients in diagnoses and mortality are only slightly explained by differences in biomarkers. The comparison of the three gradients and the mediation analysis suggest that in each of the steps to diagnosis and death there are social factors involved that increase the gradient and go beyond what biomarkers can predict. Having a CVD diagnosis leads to smaller mortality gradients, presumably because of the convergence of educational differences in behaviour and during treatment and monitoring. Our findings support prevention as a strategy against social inequalities in CVD.
Register to take part online
If you are not a member of the Max Planck Institute for Demographic Research (MPIDR) but would like to attend the talk, you are very welcome! Please register by sending an email to Maarten Bijlsma stating which lab talk you would like to attend.
Online Lab Talk on Tuesday, September 22 at 1 p.m. (Rostock Time)