Demography

, Volume 46, Issue 1, pp 27–41 | Cite as

Predicting adult health and mortality from adolescent facial characteristics in yearbook photographs

  • Eric N. Reither
  • Robert M. Hauser
  • Karen C. Swallen
Article

Abstract

Several important longitudinal studies in the social sciences have omitted biomarkers that are routinely recorded today, including height and weight. To account for this shortcoming in the Wisconsin Longitudinal Study (WLS), an 11-point scale was developed to code high school senior class yearbook photographs of WLS participants for relative body mass (RBM). Our analyses show that although imperfect, the RBM scale is reliable (α = .91) and meets several criteria of validity as a measure of body mass. Measured at ages 17–18, the standardized relative body mass index (SRBMI) was moderately correlated (r = .31) with body mass index (BMI) at ages 53–54 and with maximum BMI reported between ages 16 and 30 (r = .48). Overweight adolescents (≥ 90th percentile of SRBMI) were about three times more likely than healthy-weight adolescents (10th–80th percentile of SRBMI) to be obese in adulthood and, as a likely consequence, significantly more likely to report health problems such as chest pain and diabetes. Overweight adolescents also suffered a twofold risk of premature death from all nonaccidental causes as well as a fourfold risk of heart disease mortality. The RBM scale has removed a serious obstacle to obesity research and lifelong analyses of health in the WLS. We suggest that other longitudinal studies may also be able to obtain photos of participants at younger ages and thus gain a prospectively useful substitute for direct measures of body mass.

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References

  1. Alwin, D.F. 1992. “Information Transmission in the Survey Interview: Number of Response Categories and the Reliability of Attitude Measurement.” Sociological Methodology 22:83–118.CrossRefGoogle Scholar
  2. —. 1997. “Feeling Thermometers Versus 7-Point Scales: Which Are Better?” Sociological Methods & Research 25:318–40.CrossRefGoogle Scholar
  3. Ayres, L.P. 1909. Laggards in Our Schools: A Study of Retardation and Elimination in City School Systems. New York: Charities Publication Committee.Google Scholar
  4. Carr, D. 1997. “The Ful_llment of Career Dreams at Midlife: Does It Matter for Women’s Mental Health?” Journal of Health and Social Behavior 38:331–44.CrossRefGoogle Scholar
  5. Cronbach, L.J. 1951. “Coeffcient Alpha and the Internal Structure of Tests.” Psychometrika 16: 297–334.CrossRefGoogle Scholar
  6. Crossman, A., D.A. Sullivan, and M. Benin. 2006. “The Family Environment and American Adolescents’ Risk of Obesity as Young Adults.” Social Science & Medicine 63:2255–67.CrossRefGoogle Scholar
  7. Engeland, A., T. Bjørge, A. Tverdal, and A.J. Søgaard. 2004. “Obesity in Adolescence and Adulthood and the Risk of Adult Mortality.” Epidemiology 15:79–85.CrossRefGoogle Scholar
  8. Flegal, K.M., M.D. Carroll, R.J. Kuczmarski, and C.L. Johnson. 1998. “Overweight and Obesity in the United States: Prevalence and Trends, 1960–1994.” International Journal of Obesity and Related Metabolic Disorders 22:39–47.CrossRefGoogle Scholar
  9. Flynn, K.E., M.A. Smith, and D. Vanness. 2006. “A Typology of Preferences for Participation in Healthcare Decision Making.” Social Science & Medicine 63:1158–69.CrossRefGoogle Scholar
  10. Freedman, D.S., L.K. Khan, W.H. Dietz, S.R. Srinivasan, and G.S. Berenson. 2001. “Relationship of Childhood Obesity to Coronary Heart Disease Risk Factors in Adulthood: The Bogalusa Heart Study.” Pediatrics 108:712–18.CrossRefGoogle Scholar
  11. Furnham, A. and S. Radley. 1989. “Sex Differences in the Perception of Male and Female Body Shapes.” Personality and Individual Differences 10:653–62.CrossRefGoogle Scholar
  12. Goodman, E. and R.C. Whitaker. 2002. “A Prospective Study of the Role of Depression in the Development and Persistence of Adolescent Obesity.” Pediatrics 110:497–504.CrossRefGoogle Scholar
  13. Hauser, R.M. 2005. “Survey Response in the Long Run: The Wisconsin Longitudinal Study.” Field Methods 17:3–29.CrossRefGoogle Scholar
  14. Himes, C.L. 2000. “Obesity, Disease, and Functional Limitation in Later Life.” Demography 37:73–82.CrossRefGoogle Scholar
  15. Johnson, E.O. and N. Breslau. 2006. “Is the Association of Smoking and Depression a Recent Phenomenon?” Nicotine & Tobacco Research 8:257–62.CrossRefGoogle Scholar
  16. Kato, K. and A. Higashiyama. 1998. “Estimation of Height for Persons in Pictures.” Perception and Psychophysics 60:1318–28.CrossRefGoogle Scholar
  17. Krahn, D., J. Freese, R. Hauser, K. Barry, and B. Goodman. 2003. “Alcohol Use and Cognition at Mid-Life: The Importance of Adjusting for Baseline Cognitive Ability and Educational Attainment.” Alcoholism: Clinical and Experimental Research 27:1162–66.CrossRefGoogle Scholar
  18. Laakso, M., V. Matilainen, and S. Keinänen-Kiukaanniemi. 2002. “Association of Neck Circumference With Insulin Resistance-Related Factors.” International Journal of Obesity and Related Metabolic Disorders 26:873–75.CrossRefGoogle Scholar
  19. Lean, M.E., T.S. Han, and J.C. Seidell. 1999. “Impairment of Health and Quality of Life Using New US Federal Guidelines for the Identification of Obesity.” Archives of Internal Medicine 159:837–43.CrossRefGoogle Scholar
  20. Levine, J.A., A. Ray, and M.D. Jensen. 1998. “Relation Between Chubby Cheeks and Visceral Fat.” New England Journal of Medicine 339:1946–47.CrossRefGoogle Scholar
  21. Mannino, D.M., J. Mott, J.M. Ferdinands, C.A. Camargo, M. Friedman, H.M. Greves, and S.C. Redd. 2006. “Boys With High Body Masses Have an Increased Risk of Developing Asthma: Findings From the National Longitudinal Survey of Youth (NLSY).” International Journal of Obesity 30:6–13.CrossRefGoogle Scholar
  22. Manson, J.E., P.J. Skerrett, and W.C. Willett. 2002. “Epidemiology of Health Risks Associated With Obesity.” Pp. 422–32 in Eating Disorders and Obesity: A Comprehensive Handbook, 2nd ed., edited by C.G. Fairburn and K.D. Brownell. New York: The Guilford Press.Google Scholar
  23. Marks, N.F. and D.S. Shinberg. 1997. “Socioeconomic Differences in Hysterectomy: The Wisconsin Longitudinal Study.” American Journal of Public Health 87:1507–14.CrossRefGoogle Scholar
  24. ——. 1998. “Socioeconomic Status Differences in Hormone Therapy.” American Journal of Epidemiology 148:581–93.Google Scholar
  25. Meland, S.A. 2002. Objectivity in Perceived Attractiveness: Development of a New Methodology for Rating Facial Attractiveness. Master’s thesis. Department of Sociology, University of Wisconsin-Madison.Google Scholar
  26. Möller, R., E. Tafeit, T.R. Pieber, K. Sudi, and G. Reibnegger. 2000. “Measurement of Subcutaneous Adipose Tissue Topography (SAT-Top) by Means of a New Optical Device, LIPOMETER, and the Evaluation of Standard Factor Coefficients in Healthy Subjects.” American Journal of Human Biology 12:231–39.CrossRefGoogle Scholar
  27. Mortimore, I.L., I. Marshall, P.K. Wraith, R.J. Sellar, and N.J. Douglas. 1998. “Neck and Total Body Fat Deposition in Nonobese and Obese Patients With Sleep Apnea Compared With That in Control Subjects.” American Journal of Respiratory and Critical Care Medicine 157:280–83.Google Scholar
  28. Must, A., P.F. Jacquez, G.E. Dallal, C.J. Bajema, and W.H. Dietz. 1992. “Long-Term Morbidity and Mortality of Overweight Adolescents. A Follow-Up of the Harvard Growth Study of 1922 to 1935.” New England Journal of Medicine 327:1350–55.CrossRefGoogle Scholar
  29. National Center for Health Statistics. 1999. “National Death Index.” Available online at http:// www.cdc.gov/nchs/ndi.htm.Google Scholar
  30. Novak, M., C. Ahlgren, and A. Hammarstrom. 2006. “A Life-Course Approach in Explaining Social Inequity in Obesity Among Young Adult Men and Women.” International Journal of Obesity 30:191–200.CrossRefGoogle Scholar
  31. Nunnally, J.C. 1978. Psychometric Theory. New York: McGraw-Hill.Google Scholar
  32. Ogden, C.L., K.M. Flegal, M.D. Carroll, and C.L. Johnson. 2002. “Prevalence and Trends in Overweight Among US Children and Adolescents, 1999–2000.” Journal of the American Medical Association 288:1728–32.CrossRefGoogle Scholar
  33. Pi-Sunyer, X.F. 2002. “Medical Complications of Obesity in Adults.” Pp. 467–72 in Eating Disorders and Obesity: A Comprehensive Handbook, 2nd ed., edited by C.G. Fairburn and K.D. Brownell. New York: The Guilford Press.Google Scholar
  34. Reither, E.N. 2005. “Why Are Our Waistlines Expanding? Age-Period-Cohort Analyses of the Obesity Epidemic and a Critical Examination of Mass Preparation Theory.” Ph.D. dissertation. Department of Sociology, University of Wisconsin-Madison.Google Scholar
  35. Rexrode, K.M., V.J. Carey, C.H. Hennekens, E.E. Walters, G.A. Colditz, M.J. Stampfer, W.C. Willett, and J.E. Manson. 1998. “Abdominal Adiposity and Coronary Heart Disease in Women.” Journal of the American Medical Association 280:1843–48.CrossRefGoogle Scholar
  36. Rosenkranz, M.A., D.C. Jackson, K.M. Dalton, I. Dolski, C.D. Ryff, B.H. Singer, D. Muller, N.H. Kalin, and R.J. Davidson. 2003. “Affective Style and in Vivo Immune Response: Neurobehavioral Mechanisms.” Proceedings of National Academy of Sciences of the United States of America 100:11148–52.CrossRefGoogle Scholar
  37. Rudin, J.P. 1996. “Perceived Weight of Other Persons.” Journal of Social Psychology 136: 719–26.CrossRefGoogle Scholar
  38. Sadeghianrizi, A., C.-M. Forsberg, C. Marcus, and G. Dahllöf. 2005. “Craniofacial Development in Obese Adolescents.” European Journal of Orthodontics 27:550–55.CrossRefGoogle Scholar
  39. SAS Institute Inc. 2003. SAS for Windows, Version 9.1. Cary, NC: SAS Institute Inc.Google Scholar
  40. Seltzer, M.M., F. Floyd, J. Greenberg, J. Lounds, M. Lindstromm, and J. Hong. 2005. “Life Course Impacts of Mild Intellectual Deficits.” American Journal on Mental Retardation 110:451–68.CrossRefGoogle Scholar
  41. Sewell, W.H., R.M. Hauser, K.W. Springer, and T.S. Hauser. 2004. “As We Age: A Review of the Wisconsin Longitudinal Study, 1957–2001.” Pp. 3–114 in Research in Social Strati_cation and Mobility, Vol. 20, edited by K.T. Leicht. New York: Elsevier.Google Scholar
  42. Shinberg, D.S. 1998. “An Event History Analysis of Age at Last Menstrual Period: Correlates of Natural and Surgical Menopause Among Midlife Wisconsin Women.” Social Science & Medicine 46:1381–96.CrossRefGoogle Scholar
  43. StataCorp LP. 2005. Stata Statistical Software: Release 9. College Station, TX: StataCorp LP.Google Scholar
  44. Stunkard, A.J. 1996. “Current Views on Obesity.” American Journal of Medicine 100:230–36.CrossRefGoogle Scholar
  45. Sundquist, J. and S.-E. Johansson. 1998. “The Infiuence of Socioeconomic Status, Ethnicity and Lifestyle on Body Mass Index in a Longitudinal Study.” International Journal of Epidemiology 27:57–63.CrossRefGoogle Scholar
  46. Tafeit, E., R. Möller, K. Sudi, and G. Reibnegger. 2000. “ROC and CART Analysis of Subcutaneous Adipose Tissue Topography (SAT-Top) in Type-2 Diabetic Women and Healthy Females.” American Journal of Human Biology 12:388–94.CrossRefGoogle Scholar
  47. U.S. Department of Education, Center for Education Statistics. 1992. National Longitudinal Study of the Class of 1972. [Computerfile]. Bibliographic Citation: ICPSR version. Chicago, IL: National Opinion Research Center [producer]. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 1999.Google Scholar
  48. U.S. Department of Health and Human Services. Centers for Disease Control and Prevention. 2004. “BMI - Body Mass Index: About BMI for Adults.” Available online at http://www.cdc.gov/ nccdphp/dnpa/bmi/adult_BMI/about_adult_BMI.htm.Google Scholar
  49. World Health Organization. 1977. Manual of the International Statistical Classi_ cation of Diseases, Injuries and Causes of Death, The Ninth Revision (ICD-9). Geneva: WHO.Google Scholar
  50. Wright, C.M., L. Parker, D. Lamont, and A.W. Craft. 2001. “Implications of Childhood Obesity for Adult Health: Findings From Thousand Families Cohort Study.” BMJ 323:1280–84.CrossRefGoogle Scholar
  51. Yu, X., K. Fujimoto, K. Urushibata, Y. Matsuzawa, and K. Kubo. 2003. “Cephalometric Analysis in Obese and Nonobese Patients With Obstructive Sleep Apnea Syndrome.” Chest 124:212–18CrossRefGoogle Scholar

Copyright information

© Population Association of America 2009

Authors and Affiliations

  • Eric N. Reither
    • 1
  • Robert M. Hauser
    • 2
  • Karen C. Swallen
    • 2
  1. 1.Population Research Laboratory and Department of Sociology, Social Work and AnthropologyUtah State UniversityLogan
  2. 2.Department of SociologyUniversity of Wisconsin-MadisonUSA

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