Skip to main content
Top
Published in: BMC Public Health 1/2016

Open Access 01-12-2016 | Research article

The relationship between education and health among incarcerated men and women in the United States

Authors: Kathryn M. Nowotny, Ryan K. Masters, Jason D. Boardman

Published in: BMC Public Health | Issue 1/2016

Login to get access

Abstract

Background

This paper contributes to research on the education-health association by extending the scope of inquiry to adult inmates. Not only are inmates excluded from most nationally representative studies of health but they also represent a highly select group in terms of both education and health. As such, our study provides new information about the health of incarcerated populations and it extends the generalizability of the education-health association beyond the non-institutionalized population.

Methods

We use a prison-level fixed-effects regression model with the 2004 Survey of Inmates in State Correctional Facilities (n = 287 facilities) to evaluate the effects of education on a standardized morbidity scale of 11 lifetime and current health conditions among incarcerated men (n = 10,493) and women (n = 2,797).

Results

Education prior to incarceration is negatively associated with lifetime health problems for both women and men and the association is stronger among women. Among inmates who enter prison with less than a GED level of education, attaining a GED in prison is associated with better current health outcomes for men, but not women.

Conclusions

The generalization of the education-health association among prisoners further highlights the fundamental nature of education as a health promotive resource. Discussed are the implications for the education-health literature in general and health promotion efforts among incarcerated adults specifically.
Footnotes
1
The models were estimated using different functional forms of age including age2 and age3. For women, the coefficient remain unchanged (−.016). For men, the coefficient reduced slightly from−.038 to−.029. Given this, the most parsimonious model is presented.
 
2
The sample size for this model is 3,498; 531 observations were dropped from the fixed effects model because the prison did not have variation in the outcome variable (current hypertension).
 
3
The sample size for this model is 390; 786 observations were dropped from the fixed effects model because the prison did not have variation in the outcome variable (current hypertension).
 
Literature
1.
go back to reference Link BG, Phelan J. Social conditions as fundamental causes of diease. J Health Soc Behav. 1995;35:80–94.CrossRef Link BG, Phelan J. Social conditions as fundamental causes of diease. J Health Soc Behav. 1995;35:80–94.CrossRef
2.
go back to reference Montez JK, Friedman EM. Educational attainment and adult health: under what conditions is the association causal? Soc Sci Med. 2015;127:1–7.CrossRefPubMed Montez JK, Friedman EM. Educational attainment and adult health: under what conditions is the association causal? Soc Sci Med. 2015;127:1–7.CrossRefPubMed
3.
go back to reference Everett BG, Rehkopf DH, Rogers RG. The nonlinear relationship between education and mortality: an examination of cohort, race/ethnic, and gender differences. Popul Res Policy Rev. 2013;32(6):893–917.CrossRef Everett BG, Rehkopf DH, Rogers RG. The nonlinear relationship between education and mortality: an examination of cohort, race/ethnic, and gender differences. Popul Res Policy Rev. 2013;32(6):893–917.CrossRef
4.
go back to reference Hummer RA, Lariscy JT. Educational Attainment and Adult Mortality. In International Handbook of Adult Mortality. Edited by Rogers RG, Crimmins EM. New York: Springer; 2011. p. 241-61. Hummer RA, Lariscy JT. Educational Attainment and Adult Mortality. In International Handbook of Adult Mortality. Edited by Rogers RG, Crimmins EM. New York: Springer; 2011. p. 241-61.
5.
go back to reference Mirowsky J, Ross CE. Social Causes of Psychological Distress. Chicago: University of Chicago Press; 2003. Mirowsky J, Ross CE. Social Causes of Psychological Distress. Chicago: University of Chicago Press; 2003.
6.
go back to reference Ross CE, Mirowsky J. Sex differences in the effect of education on depression: resource multiplication or resource substitution? Soc Sci Med. 2006;63:1400–13.CrossRefPubMed Ross CE, Mirowsky J. Sex differences in the effect of education on depression: resource multiplication or resource substitution? Soc Sci Med. 2006;63:1400–13.CrossRefPubMed
7.
go back to reference Schnittker J. Education and the changing shape of the income gradient in health. J Health Soc Behav. 2004;45(3):286–305.CrossRefPubMed Schnittker J. Education and the changing shape of the income gradient in health. J Health Soc Behav. 2004;45(3):286–305.CrossRefPubMed
8.
go back to reference Ahalt C, Binswanger IA, Steinman M, Tulsky J, Williams BA. Confined to ignorance: the absence of prisoner information from nationally representative health data sets. J Gen Intern Med. 2011;27(2):160–6.CrossRefPubMedPubMedCentral Ahalt C, Binswanger IA, Steinman M, Tulsky J, Williams BA. Confined to ignorance: the absence of prisoner information from nationally representative health data sets. J Gen Intern Med. 2011;27(2):160–6.CrossRefPubMedPubMedCentral
9.
go back to reference International Centre for Prison Studies. World Prison Brief - Highest to Lowest Figures. London: King’s College London; 2008. International Centre for Prison Studies. World Prison Brief - Highest to Lowest Figures. London: King’s College London; 2008.
10.
go back to reference Frost NA, Greene J, Pranis K. Hard hit: The growth in the imprisonment of women, 1977–2004. 2006. Edited by Report IoWCJTP. Frost NA, Greene J, Pranis K. Hard hit: The growth in the imprisonment of women, 1977–2004. 2006. Edited by Report IoWCJTP.
11.
go back to reference Binswanger IA, Merrill JO, Krueger PM, White MC, Booth RE, Elmore JG. Gender differences in chronic medical, psychiatric, and substance-dependence disorders among jail inmates. Am J Public Health. 2010;100(3):476–82.CrossRefPubMedPubMedCentral Binswanger IA, Merrill JO, Krueger PM, White MC, Booth RE, Elmore JG. Gender differences in chronic medical, psychiatric, and substance-dependence disorders among jail inmates. Am J Public Health. 2010;100(3):476–82.CrossRefPubMedPubMedCentral
12.
go back to reference Nowotny KM, Belknap J, Lynch S, DeHart D. Risk profiles and treatment needs of women in jail with Co-occurring serious mental illness and substance use disorders. Women Health. 2014;58(8):781–95.CrossRef Nowotny KM, Belknap J, Lynch S, DeHart D. Risk profiles and treatment needs of women in jail with Co-occurring serious mental illness and substance use disorders. Women Health. 2014;58(8):781–95.CrossRef
13.
go back to reference Eliason MJ, Taylor JY, Williams R. Physical health of women in prison: relationship to oppression. J Correct Health Care. 2004;10(2):175–203.CrossRef Eliason MJ, Taylor JY, Williams R. Physical health of women in prison: relationship to oppression. J Correct Health Care. 2004;10(2):175–203.CrossRef
14.
go back to reference Nijhawan AE, Salloway R, Nunn AS, Poshkus M, Clarke JG. Preventative healthcare for underserved women: results of a prison survey. J Womens Health. 2010;19(1):17–22.CrossRef Nijhawan AE, Salloway R, Nunn AS, Poshkus M, Clarke JG. Preventative healthcare for underserved women: results of a prison survey. J Womens Health. 2010;19(1):17–22.CrossRef
16.
go back to reference Hale GJ, Oswalt KL, Cropsey KL, Villalobos GC, Ivey SE, Matthews CA. The contraceptive needs of incarcerated women. J Womens Health. 2009;18(8):1221–6.CrossRef Hale GJ, Oswalt KL, Cropsey KL, Villalobos GC, Ivey SE, Matthews CA. The contraceptive needs of incarcerated women. J Womens Health. 2009;18(8):1221–6.CrossRef
17.
go back to reference Binswanger IA, Mueller S, Clark CB, Cropsey KL. Risk factors for cervical cancer in criminal justice settings. J Womens Health. 2011;20(12):1839–45.CrossRef Binswanger IA, Mueller S, Clark CB, Cropsey KL. Risk factors for cervical cancer in criminal justice settings. J Womens Health. 2011;20(12):1839–45.CrossRef
18.
go back to reference United States Department of Justice. Bureau of Justice Statistics: Survey of Inmates in State and Federal Correctional Facilities, 2004. ICPSR04572-v1 Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2007-02-28 2007. United States Department of Justice. Bureau of Justice Statistics: Survey of Inmates in State and Federal Correctional Facilities, 2004. ICPSR04572-v1 Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2007-02-28 2007.
19.
go back to reference Davis LM, Bozick R, Steele JL, Saunders J, Miles JNV: Evaluating the Effectiveness of Correctional Education: A Meta-Analysis of Programs That Provide Education to Incarcerated Adults. RAND Corporation; 2013. Davis LM, Bozick R, Steele JL, Saunders J, Miles JNV: Evaluating the Effectiveness of Correctional Education: A Meta-Analysis of Programs That Provide Education to Incarcerated Adults. RAND Corporation; 2013.
21.
go back to reference Freudenberg N. Jails, prisons, and the health of urban populations: a review of the impact of the correctional system on community health. J Urban Health. 2001;78(2):214–35.CrossRefPubMedPubMedCentral Freudenberg N. Jails, prisons, and the health of urban populations: a review of the impact of the correctional system on community health. J Urban Health. 2001;78(2):214–35.CrossRefPubMedPubMedCentral
22.
go back to reference Ross CE, Mirowsky J. Gender and the health benefits of education. Sociol Q. 2010;51(1):1–19.CrossRef Ross CE, Mirowsky J. Gender and the health benefits of education. Sociol Q. 2010;51(1):1–19.CrossRef
23.
go back to reference Williams DR, Collins C. US socioeconomic and racial differences in health: patterns and explanations. Annu Rev Sociol. 1995;21:349–86.CrossRef Williams DR, Collins C. US socioeconomic and racial differences in health: patterns and explanations. Annu Rev Sociol. 1995;21:349–86.CrossRef
24.
go back to reference Umberson D. Gender, marital status and the social control of behavior. Soc Sci Med. 1992;34(8):907–17.CrossRefPubMed Umberson D. Gender, marital status and the social control of behavior. Soc Sci Med. 1992;34(8):907–17.CrossRefPubMed
25.
go back to reference Wakefield S, Uggen C. Incarceration and stratification. Annu Rev Sociol. 2010;36:387–406.CrossRef Wakefield S, Uggen C. Incarceration and stratification. Annu Rev Sociol. 2010;36:387–406.CrossRef
26.
go back to reference Western B. Punishment and Inequality in America. New York: Russell Sage; 2006. Western B. Punishment and Inequality in America. New York: Russell Sage; 2006.
28.
go back to reference Pettit B. Invisible Men: Mass Incarceration and the Myth of Black Progress. New York: Russell Sage; 2012. Pettit B. Invisible Men: Mass Incarceration and the Myth of Black Progress. New York: Russell Sage; 2012.
29.
go back to reference Harlow CW. Education and Correctional Populations, Bureau of Justice Statistics Special Report. U.S. Department of Justice, Office of Justice Programs. 2003. Harlow CW. Education and Correctional Populations, Bureau of Justice Statistics Special Report. U.S. Department of Justice, Office of Justice Programs. 2003.
31.
go back to reference Stone AA, Turkkan JS, Bachrach CA, Jobe JB, Kurtzman HS, Cain VS. The science of self-report: Implications for research and practice. Laerence Erlbaum: Mahwah, NJ; 1999. Stone AA, Turkkan JS, Bachrach CA, Jobe JB, Kurtzman HS, Cain VS. The science of self-report: Implications for research and practice. Laerence Erlbaum: Mahwah, NJ; 1999.
32.
go back to reference Clear T. Imprisoning Communities: How Mass Incarceration Makes Disadvantaged Neighborhoods Worse. New York: Oxford University Press; 2007.CrossRef Clear T. Imprisoning Communities: How Mass Incarceration Makes Disadvantaged Neighborhoods Worse. New York: Oxford University Press; 2007.CrossRef
33.
go back to reference Drucker E. A Plague of Prisons: The Epidemiology of Mass Incarceration in America. New York: The New Press; 2011. Drucker E. A Plague of Prisons: The Epidemiology of Mass Incarceration in America. New York: The New Press; 2011.
34.
go back to reference Alexander M. The New Jim Crow: Mass Incarceration in the Age of Colorblindness. New York: The New Press; 2010. Alexander M. The New Jim Crow: Mass Incarceration in the Age of Colorblindness. New York: The New Press; 2010.
35.
go back to reference Pettit B, Western B. Mass imprisonment and the life course: race and class inequality in U.S. Incarceration. Am Sociol Rev. 2004;69(2):151–69.CrossRef Pettit B, Western B. Mass imprisonment and the life course: race and class inequality in U.S. Incarceration. Am Sociol Rev. 2004;69(2):151–69.CrossRef
36.
go back to reference Adler NE, Newman K. Socioeconomic disparities in health: pathways and policies. Health Aff. 2002;21(2):60–76.CrossRef Adler NE, Newman K. Socioeconomic disparities in health: pathways and policies. Health Aff. 2002;21(2):60–76.CrossRef
37.
go back to reference Baybutt M, Acin E, Hayton P, Dooris M. Promoting health in prisons: a settings approach. In Prisons and Health. Edited by Enggist S, Møller L, Galea G, Udesen C. Copenhagen, Denmark: WHO Regional Office for Europe; 2014. p. 180-84. Baybutt M, Acin E, Hayton P, Dooris M. Promoting health in prisons: a settings approach. In Prisons and Health. Edited by Enggist S, Møller L, Galea G, Udesen C. Copenhagen, Denmark: WHO Regional Office for Europe; 2014. p. 180-84.
Metadata
Title
The relationship between education and health among incarcerated men and women in the United States
Authors
Kathryn M. Nowotny
Ryan K. Masters
Jason D. Boardman
Publication date
01-12-2016
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2016
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-016-3555-2

Other articles of this Issue 1/2016

BMC Public Health 1/2016 Go to the issue