IDEAS home Printed from https://ideas.repec.org/a/spr/eujhec/v16y2015i1p5-20.html
   My bibliography  Save this article

Misreporting and misclassification: implications for socioeconomic disparities in body-mass index and obesity

Author

Listed:
  • Åsa Ljungvall
  • Ulf Gerdtham
  • Ulf Lindblad

Abstract

Body-mass index (BMI) has become the standard proxy for obesity in social science research. This study deals with the potential problems related to, first, relying on self-reported weight and height to calculate BMI (misreporting), and, second, the concern that BMI is a deficient measure of body fat (misclassification). Using a regional Swedish sample, we analyze whether socioeconomic disparities in BMI are biased because of misreporting, and whether socioeconomic disparities in the risk of obesity are sensitive to whether BMI or waist circumference is used to define obesity. Education and income are used as socioeconomic indicators. The overall conclusion is that misreporting and misclassification may indeed matter for estimated educational and income disparities in BMI and obesity. In the misreporting part we find that women with higher education misreport less than those with lower education, leading to underestimation of the education disparity when using self-reported information. In the misclassification part we find that the probability of being misclassified decreases with income, for both men and women. Among women, the consequence is a steeper income gradient when obesity is defined using waist circumference instead of BMI. Among men the income gradient is statistically insignificant irrespective of how obesity is defined, but when estimating the probability of obesity defined by waist circumference, an educational gradient, which is not present when classifying men using BMI, arises. Copyright The Author(s) 2015

Suggested Citation

  • Åsa Ljungvall & Ulf Gerdtham & Ulf Lindblad, 2015. "Misreporting and misclassification: implications for socioeconomic disparities in body-mass index and obesity," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(1), pages 5-20, January.
    • Handle: RePEc:spr:eujhec:v:16:y:2015:i:1:p:5-20
    DOI: 10.1007/s10198-013-0545-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10198-013-0545-5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10198-013-0545-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Ruhm, Christopher J., 2005. "Healthy living in hard times," Journal of Health Economics, Elsevier, vol. 24(2), pages 341-363, March.
    2. Costa-Font, Joan & Gil, Joan, 2008. "What lies behind socio-economic inequalities in obesity in Spain A decomposition approach," Food Policy, Elsevier, vol. 33(1), pages 61-73, February.
    3. García Villar, Jaume & Quintana-Domeque, Climent, 2009. "Income and body mass index in Europe," Economics & Human Biology, Elsevier, vol. 7(1), pages 73-83, March.
    4. Burkhauser, Richard V. & Cawley, John & Schmeiser, Maximilian D., 2009. "The timing of the rise in U.S. obesity varies with measure of fatness," Economics & Human Biology, Elsevier, vol. 7(3), pages 307-318, December.
    5. Lakdawalla, Darius & Philipson, Tomas, 2009. "The growth of obesity and technological change," Economics & Human Biology, Elsevier, vol. 7(3), pages 283-293, December.
    6. Bound, John & Brown, Charles & Mathiowetz, Nancy, 2001. "Measurement error in survey data," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 59, pages 3705-3843, Elsevier.
    7. Donal O’Neill & Olive Sweetman, 2013. "The consequences of measurement error when estimating the impact of obesity on income," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-20, December.
    8. J.J. Heckman & E.E. Leamer (ed.), 2001. "Handbook of Econometrics," Handbook of Econometrics, Elsevier, edition 1, volume 5, number 5.
    9. Marjon van der Pol, 2011. "Health, education and time preference," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 917-929, August.
    10. Heineck, Guido, 2006. "Height and weight in Germany, evidence from the German Socio-Economic Panel, 2002," Economics & Human Biology, Elsevier, vol. 4(3), pages 359-382, December.
    11. Ljungvall, Åsa & Gerdtham, Ulf-G., 2010. "More equal but heavier: A longitudinal analysis of income-related obesity inequalities in an adult Swedish cohort," Social Science & Medicine, Elsevier, vol. 70(2), pages 221-231, January.
    12. Chou, Shin-Yi & Grossman, Michael & Saffer, Henry, 2004. "An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System," Journal of Health Economics, Elsevier, vol. 23(3), pages 565-587, May.
    13. Toni Mora & Joan Gil, 2013. "Peer Effects In Adolescent Bmi: Evidence From Spain," Health Economics, John Wiley & Sons, Ltd., vol. 22(5), pages 501-516, May.
    14. O'Neill, Donal & Sweetman, Olive, 2013. "Estimating Obesity Rates in the Presence of Measurement Error," IZA Discussion Papers 7288, Institute of Labor Economics (IZA).
    15. John Cawley & John Moran & Kosali Simon, 2010. "The impact of income on the weight of elderly Americans," Health Economics, John Wiley & Sons, Ltd., vol. 19(8), pages 979-993, August.
    16. Mohammad Hajizadeh & M. Karen Campbell & Sisira Sarma, 2014. "Socioeconomic inequalities in adult obesity risk in Canada: trends and decomposition analyses," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(2), pages 203-221, March.
    17. John Cawley, 2004. "The Impact of Obesity on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
    18. Chang, Hung-Hao & Ver Ploeg, Shelly & Lin, Biing-Hwan, 2010. "Changes in the propensity of overweight US women to under-assess their body weight status," Food Policy, Elsevier, vol. 35(4), pages 358-364, August.
    19. Gil, Joan & Mora, Toni, 2011. "The determinants of misreporting weight and height: The role of social norms," Economics & Human Biology, Elsevier, vol. 9(1), pages 78-91, January.
    20. Steffen Reinhold & Hendrik Jürges, 2010. "Secondary school fees and the causal effect of schooling on health behavior," Health Economics, John Wiley & Sons, Ltd., vol. 19(8), pages 994-1001, August.
    21. Jason M. Fletcher & David Frisvold & Nathan Tefft, 2010. "Can Soft Drink Taxes Reduce Population Weight?," Contemporary Economic Policy, Western Economic Association International, vol. 28(1), pages 23-35, January.
    22. Baum II, Charles L. & Ruhm, Christopher J., 2009. "Age, socioeconomic status and obesity growth," Journal of Health Economics, Elsevier, vol. 28(3), pages 635-648, May.
    23. Burkhauser, Richard V. & Cawley, John, 2008. "Beyond BMI: The value of more accurate measures of fatness and obesity in social science research," Journal of Health Economics, Elsevier, vol. 27(2), pages 519-529, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Margareta Dackehag & Ulf-G. Gerdtham & Martin Nordin, 2015. "Productivity or discrimination? An economic analysis of excess-weight penalty in the Swedish labor market," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(6), pages 589-601, July.
    2. Davillas, A.; Jones, A.M.; Benzeval, M.;, 2017. "The income-health gradient: Evidence from self-reported health and biomarkers using longitudinal data on income," Health, Econometrics and Data Group (HEDG) Working Papers 17/04, HEDG, c/o Department of Economics, University of York.
    3. Anna Choi & John Cawley, 2018. "Health disparities across education: The role of differential reporting error," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 1-29, March.
    4. Dackehag, Margareta & Ellegård, Lina Maria & Gerdtham, Ulf-G & Nilsson, Therese, 2018. "Social Assistance and Mental Health: Evidence from Longitudinal Data on Pharmaceutical Consumption," Working Papers 2018:2, Lund University, Department of Economics.
    5. Apostolos Davillas & Victor Hugo Oliveira & Andrew M. Jones, 2024. "A model of errors in BMI based on self-reported and measured anthropometrics with evidence from Brazilian data," Empirical Economics, Springer, vol. 67(5), pages 2371-2410, November.
    6. Dackehag, Margareta & Ellegård, Lina Maria & Gerdtham, Ulf-G. & Nilsson, Therese, 2016. "Day-to-Day Living Expenses and Mental Health," Working Papers 2016:19, Lund University, Department of Economics.
    7. Persson, Sofie & Gerdtham, Ulf-G. & Steen Carlsson, Katarina, 2016. "Labor market consequences of childhood onset type 1 diabetes," Economics & Human Biology, Elsevier, vol. 23(C), pages 180-192.
    8. Harris, Matthew C., 2017. "Imperfect information on physical activity and caloric intake," Economics & Human Biology, Elsevier, vol. 26(C), pages 112-125.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cawley, John, 2015. "An economy of scales: A selective review of obesity's economic causes, consequences, and solutions," Journal of Health Economics, Elsevier, vol. 43(C), pages 244-268.
    2. Courtemanche, Charles & Pinkston, Joshua C. & Stewart, Jay, 2015. "Adjusting body mass for measurement error with invalid validation data," Economics & Human Biology, Elsevier, vol. 19(C), pages 275-293.
    3. Nathalie Mathieu‐Bolh, 2022. "The elusive link between income and obesity," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 935-968, September.
    4. Costa-Font, Joan & Hernández-Quevedo, Cristina & Jiménez-Rubio, Dolores, 2014. "Income inequalities in unhealthy life styles in England and Spain," Economics & Human Biology, Elsevier, vol. 13(C), pages 66-75.
    5. Daouli, Joan & Davillas, Apostolos & Demoussis, Michael & Giannakopoulos, Nicholas, 2013. "The determinants of body mass in Greece: Evidence from the National Health Survey," MPRA Paper 66392, University Library of Munich, Germany.
    6. Salmasi, Luca & Celidoni, Martina, 2017. "Investigating the poverty-obesity paradox in Europe," Economics & Human Biology, Elsevier, vol. 26(C), pages 70-85.
    7. Cawley, John & Maclean, Johanna Catherine & Hammer, Mette & Wintfeld, Neil, 2015. "Reporting error in weight and its implications for bias in economic models," Economics & Human Biology, Elsevier, vol. 19(C), pages 27-44.
    8. Margareta Dackehag & Ulf-G. Gerdtham & Martin Nordin, 2015. "Productivity or discrimination? An economic analysis of excess-weight penalty in the Swedish labor market," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(6), pages 589-601, July.
    9. Classen, Timothy J., 2010. "Measures of the intergenerational transmission of body mass index between mothers and their children in the United States, 1981-2004," Economics & Human Biology, Elsevier, vol. 8(1), pages 30-43, March.
    10. Costa-Font, Joan & Fabbri, Daniele & Gil, Joan, 2009. "Decomposing body mass index gaps between Mediterranean countries: A counterfactual quantile regression analysis," Economics & Human Biology, Elsevier, vol. 7(3), pages 351-365, December.
    11. Cavaco, Sandra & Eriksson, Tor & Skalli, Ali, 2014. "Life cycle development of obesity and its determinants in six European countries," Economics & Human Biology, Elsevier, vol. 14(C), pages 62-78.
    12. Vincenzo Atella & Joanna Kopinska, 2011. "Body weight of Italians: the weight of Education," CEIS Research Paper 189, Tor Vergata University, CEIS, revised 23 Mar 2011.
    13. García Villar, Jaume & Quintana-Domeque, Climent, 2009. "Income and body mass index in Europe," Economics & Human Biology, Elsevier, vol. 7(1), pages 73-83, March.
    14. Jaume García Villar & Sonia Oreffice & Climent Quintana-Domeque, 2011. "Physical Activity and Obesity in Spain: Evidence from the Spanish National Health Survey," Chapters, in: Plácido Rodríguez & Stefan Késenne & Brad R. Humphreys (ed.), The Economics of Sport, Health and Happiness, chapter 3, Edward Elgar Publishing.
    15. Oreffice, Sonia & Quintana-Domeque, Climent, 2009. "Fatter Attraction: Marital Status and the Relationship between BMI and Labor Supply," Sustainable Development Papers 56209, Fondazione Eni Enrico Mattei (FEEM).
    16. Olbrich, Lukas & Kosyakova, Yuliya & Sakshaug, Joseph W., 2022. "The reliability of adult self-reported height: The role of interviewers," Economics & Human Biology, Elsevier, vol. 45(C).
    17. Almada, Lorenzo N. & Tchernis, Rusty, 2018. "Measuring effects of SNAP on obesity at the intensive margin," Economics & Human Biology, Elsevier, vol. 31(C), pages 150-163.
    18. Barone, Adriana & O'Higgins, Niall, 2010. "Fat and out in Salerno and its province: Adolescent obesity and early school leaving in Southern Italy," Economics & Human Biology, Elsevier, vol. 8(1), pages 44-57, March.
    19. Nicole Au & David W. Johnston, 2015. "Too Much of a Good Thing? Exploring the Impact of Wealth on Weight," Health Economics, John Wiley & Sons, Ltd., vol. 24(11), pages 1403-1421, November.
    20. Raftopoulou, Athina, 2017. "Geographic determinants of individual obesity risk in Spain: A multilevel approach," Economics & Human Biology, Elsevier, vol. 24(C), pages 185-193.

    More about this item

    Keywords

    Misreporting; Misclassification; BMI; Obesity; Waist circumference; Education; Income; C18; I12; I14;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:eujhec:v:16:y:2015:i:1:p:5-20. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.