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Fired from school: Evaluating whether models for the health effects of job loss explain young adults' health outcomes after high school suspension and expulsion
Tuesday, November 3, 2015
Janet Rosenbaum, PhD,
School of Public Health, The State University of New York - Downstate Medical Center, Brooklyn, NY
Stressful life events such as involuntary unemployment predict negative health outcomes years later. High school suspension has doubled recently and disproportionately affects disadvantaged youth. This paper evaluates whether high school suspension may increase health disparities. We compared blood pressure, cholesterol, body mass index, waist size, depression, sleep problems, tobacco, and marijuana use in 2008 of young adults ages 25--32 initially suspended from high school in 1996 (n=438) and compared them with non-suspended youth matched on 20 socioeconomic, educational, and health factors measured pre-suspension (1995) (n=8200) in the nationally representative Add Health data. We estimated relative risks using a multivariate Poisson working model in the matched sample, and separately in schools with strictest suspension policies. Bivariate analysis found differences in blood pressure, tobacco, and marijuana use. The matching method, coarsened exact matching, balanced on 20 pre-suspension factors. After matching, suspended students were 44\% more likely than non-suspended to smoke and 48\% more likely to use marijuana daily (IRR 1.44 (1.11, 1.86), p=0.006; IRR 1.48 (0.97, 2.25), p=0.07); used marijuana 29\% and 33\% more often in the past month and year (IRR 1.29 (1.15, 1.45), p=0.0001; 1.33 (1.30, 1.37), p=0.0001); and twice as likely to be dependent on cannabis (IRR 2.03 (1.13, 3.67), p=0.02). Students attending schools with harsh suspension policies were twice as likely to smoke daily (IRR 2.27 (1.22, 4.22)). Matched sampling balanced groups on baseline smoking or marijuana, so differences are not attributable to these factors.
Learning Areas:
Epidemiology
Public health or related public policy
Social and behavioral sciences
Learning Objectives:
Describe the models for health effects of job loss;
explain why matched sampling is necessary to minimize confounding in understanding the relationship between school exclusion and health outcomes; and
compare adult health outcomes between youth excluded from school and similar youth not excluded from school
Keyword(s): Health Disparities/Inequities, Children and Adolescents
Presenting author's disclosure statement:Qualified on the content I am responsible for because: I have applied causal inference methods to study adolescent health in over a dozen peer-reviewed publications. I also have a grant from the Spencer Foundation to study outcomes of school exclusion.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines,
and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed
in my presentation.