Western University SociologyFaculty of Social Science

Anomaly in the gradient: Health of U.S. adults with subbaccalaureate education

Educational attainment and health: focus on postsecondary schooling

decorative banner includes small graphs showing linear gradient reducing cardiovascular and functional health risks except for two data points in each - those for some college and AA, vocational - which show higher risk

  • Overview

  • Background

  • Progress

  • Project Team

Among American adults, the largest educational-attainment group, encompassing 54 million adults, is those who attended but did not complete college – the subbaccalaureate group.  Surprisingly, little is known about the health of this group:  are the adults better off than their peers who only completed high school?  In other words, do the adults experience health returns on their investment in college?    This project will provide the first detailed description of the health status of the subbaccalaureate group vis-à-vis high school and college graduates, and propose testable hypotheses about reasons for the observed associations.

Funding

The project is funded by the National Institute on Aging of the National Institutes of Health award 5R05AG050130-02 (2016-2018).

Principal Investigator

Anna Zajacova

Co-investigators

Rogers, Grodsky, Huzurbazar, Riebler, Johnson-Lawrence (Consultants) 

The subbaccalaureate educational attainment level --those who attended college but did not earn a bachelor’s degree-- comprises 28% of American adults age 25 and older, or about 54 million people in the U.S.  Surprisingly little is known about the health of adults in this major population group.  A recent study by Zajacova, Rogers, and Johnson-Lawrence found a startling anomaly in the education gradient in health: adults at the subbaccalaureate level (especially college dropouts but also some recipients of associate’s degrees) reported more health problems than high school graduates who never attended college. The gradient, which describes the monotonic positive association between schooling and health, has been understood to be universal across populations, health outcomes, and all levels of attainment.  The fact that the gradient does not hold for 28% of the population may provide important clues about the mechanisms of the relationship between educational attainment and health.

The long-term goal of the Zajacova’s research agenda is to understand how and why education and health are linked. The goal of this project is to compare the health of the subbaccalaureate group versus that of high school (HS) graduates who never attended college and college graduates, using three large, nationally-representative sources of data (the National Health Interview Survey 1997-2013, the National Health and Nutrition Examination Survey 1999-2012, and the National Longitudinal Survey of Youth 1979).  In Aim 1, we will provide a detailed picture of the health patterns across multiple health dimensions, across major population groups, and across age, period, and birth cohorts.  In Aim 2, we will explore how specific mediating and confounding mechanisms—employment, economic circumstances, health behaviors, childhood social conditions, cognitive/non-cognitive skills, and early health—explain the observed health patterns across the three education groups.

Papers and Publications

Zajacova, Anna and Vicki Johnson-Lawrence. 2016. "Anomaly in the education-health gradient: Biomarker profiles among adults with subbaccalaureate attainment levels." Social Science and Medicine - Population Health 2(2016):360-364.

     abstract  

This Short Communication builds on recent findings that documented an anomaly in the education–health gradient: adults who attended college but did not earn a BA (the subbaccalaureate group) reported an equal or higher level of health problems than adults with high school (HS) diploma. Our aim is to test whether this anomaly holds when we eliminate potential reporting differences, by examining biomarker levels in the subbaccalaureate vs HS groups.

Using the restricted 1999–2012 NHANES, we estimate models of biomarkers for cardiovascular and metabolic diseases as a function of educational attainment, including three subbaccalaureate levels: “some college”, vocational associate degree (AA), and academic AA.

The data show that adults with “some college” or vocational AA have no systematic advantage over HS graduates in most biomarker indices while academic AA is associated with a significantly better risk profile compared to HS. The findings indicate that the adults with some college and vocational AA degrees do not benefit from their college experience in terms of improved physiological risk profile.

This pattern underscores the need to understand and explain the anomalous health pattern that concerns 28% of American adults in the subbaccalaureate group among whom many reap little health payoffs to postsecondary schooling.

Principal Investigator:

Anna Zajacova, Associate Professor

Anna Zajacova
  • health inequalities
  • social epidemiology
  • lifecourse and aging

anna.zajacova@uwo.ca
519-661-2111 x85123
SSC 5330
office hours: by appointment
Faculty Profile

Co-Investigators:

Richard Rogers, Professor
Director, Population Program, IBS

Richard Rogers
  • social demography
  • sociology of health

Richard.Rogers@Colorado.edu
303-492-2147
University of Colorado Boulder
Sociology

Eric Grodsky, Professor of Sociology

Eric Grodsky
  • education
  • social stratification
  • methods and statistics

egrodsky@ssc.wisc.edu
(608) 262-4896
University of Wisconsin-Madison
Dept. of Sociology

Snehalata Huzurbazar, Professor

Snehalata Huzurbazar
  • evolutionary bioinformatics
  • survival analysis

lata@uwyo.eduv
307-766-4826
University of Wyoming / West Virginia University
Department of Statistics

Vicki Johnson-Lawrence, Assistant Professor
Research Program Manager

Vicki Johnson-Lawrence
  • epidemiology
  • health over the life course
  • epidemiologic methods

vickij@umflint.edu
810-762-3172
University of Michigan-Flint
Public Health & Health Sciences

Andrea Riebler, Associate Professor in Statistics

Andrea Riebler
  • biostatistical applications
  • computational statistics
  • Bayesian inference

andrea.riebler@ntnu.no
+47 735 93528
Norwegian University of Science and Technology
Dept. of Mathematical Sciences