Advertisement

Abstract

In the present context, “prediction” refers to the use of one or more variables noted at one age to predict a value at an older age. To develop any prediction method one must have serial data. When a prediction method is developed, replication studies are necessary; the method may be less accurate in children of other groups, particularly if they differ from the original group in ethnicity or socioeconomic circumstances.

Keywords

Adult Height Skeletal Maturity Adult Stature Retarded Child Craniofacial Growth 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bayley, N., 1962, The accurate prediction of growth and adult height, Mod. Probl. Paediatr., 7: 234.Google Scholar
  2. Bayley, N., and Pinneau, S. R., 1952, Tables for predicting adult height from skeletal age: revised for use with Greulich-Pyle hand standards, J. Pediatr., 40: 423.CrossRefGoogle Scholar
  3. Bruch, H., 1939, Obesity in childhood. Physical growth and development of obese children, Am. J. Dis. Child., 58: 457.Google Scholar
  4. Filippson, R., and Hall, K., 1975, Prediction of adult height of girls from height and dental maturity at ages 6–10 years, Ann. Hum. Biol., 2: 355.CrossRefGoogle Scholar
  5. Frisch, R. E., 1974, A method of prediction of age of menarche from height and weight at ages 9 through 13 years, Pediatrics, 53: 384.Google Scholar
  6. Garn, S. M., and Haskell, J. A., 1960, Fat thickness and developmental status in childhood and adolescence, Am. J. Dis. Child., 99: 746.Google Scholar
  7. Greulich, W. W., and Pyle, S. I., 1959, “Radiographic Atlas of Skeletal Development of the Hand and Wrist,” 2nd ed., Stanford University Press, Stanford.Google Scholar
  8. Hamill, P. V. V., Drizd, T. A., Johnson, C. L., Reed, R. B., and Roche, A. F., 1977, “NCHS Growth Curves for Children Birth-18 Years, United States,” (Vital and Health Statistics, Series 11, No. 165, DHEW Publ. No. (PHS) 78–1650 ), U.S. Government Printing Office, Washington, D.C.Google Scholar
  9. Hirschfeld, W. J., and Moyers, R. E., 1971, Prediction of craniofacial growth: the state of the art, Am. J. Orthod., 60: 435.CrossRefGoogle Scholar
  10. Johnston, L. E., 1968, A statistical evaluation of cephalometric prediction, Angle Orthod., 38: 284.Google Scholar
  11. Johnston, L. E., 1975, A simplified approach to prediction, Am. J. Orthod., 67: 253.CrossRefGoogle Scholar
  12. Kantero, R.-L., and Lenko, H. L., 1976, Prediction of adult height, Compte-Rendu de la XIII e Réunion, des Equipes Chargées des Etudes sur la Croissance et le Développement de l’Enfant Normal, Rennes.Google Scholar
  13. Kier, E. L., 1968, The infantile sella turcica; new roentgenologic and anatomic concepts based on a developmental study of the sphenoid bone, Am. J. Roentgenol., 102: 747.Google Scholar
  14. Konie, J. C., 1964, Comparative value of x-rays of the sphenooccipital synchondrosis and of the wrist for skeletal age assessment, Angle Orthod., 34: 303.Google Scholar
  15. Lenko, H. L., 1979, Prediction of adult height with various methods in Finnish children, Acta Paediatr. Scand., 68: 85.CrossRefGoogle Scholar
  16. Maresh, M. M., 1961, Bone, muscle and fat measurements. Longitudinal measurements of the bone, muscle and fat widths from roentgenograms of the extremities during the first six years of life, Pediatrics, 28: 971.Google Scholar
  17. Mellits, E. D., and Cheek, D. B., 1970, The assessment of body water and fatness from infancy to adulthood, Monogr. Soc. Res. Child Dev., 35: 12.CrossRefGoogle Scholar
  18. Meredith, H. V., 1957, Change in the profile of the osseous chin during childhood, Am. J. Phys. Anthropol., 15: 247.CrossRefGoogle Scholar
  19. Odegaard, J., 1970, Growth of the mandible studied with the aid of metal implants, Am. J. Orthod., 57: 145.CrossRefGoogle Scholar
  20. Onat, T., 1975, Prediction of adult height of girls based on the percentage of adult height at onset of secondary sexual characteristics, at chronological age, and skeletal age, Hum. Biol., 47: 117.Google Scholar
  21. Powell, T. V., and Brodie, A. G., 1963, Closure of the sphenooccipital synchondrosis, Anat. Rec., 147: 15.CrossRefGoogle Scholar
  22. Ricketts, R. M., 1957, Planning treatment on the basis of the facial pattern and an estimate of its growth, Angle Orthod., 27: 14.Google Scholar
  23. Ricketts, R. M., 1961, Cephalometric analysis and synthesis, Angle Orthod., 31: 141.Google Scholar
  24. Ricketts, R. M., 1972, The value of cephalometrics and computerized technology, Angle Orthod., 42: 179.Google Scholar
  25. Ricketts, R. M., 1973, New findings and concepts emerging from the clinical use of the computer, in: “Proceedings, International Orthodontic Conference,” London.Google Scholar
  26. Ricketts, R. M., Bench, R. W., Hilgers, J. J., and Schulhof, R., 1972, An overview of computerized cephalometrics, Am. J. Orthod., 61: 1.CrossRefGoogle Scholar
  27. Roche, A. F., and Davila, G. H., 1972, Late adolescent growth in stature, Pediatrics, 50: 874.Google Scholar
  28. Roche, A. F., and Davila, G. H., 1974, Differences between recumbent length and stature within individuals, Growth, 38: 313.Google Scholar
  29. Roche, A. F., and Wettenhall, H. N. B., 1977, Stature prediction in short boys, Aust. Paediatr. J., 13: 261.Google Scholar
  30. Roche, A. F., Wainer, H., and Thissen, D., 1975, Predicting adult stature for individuals, Monogr. Paediatr., 3, Karger, Basel.Google Scholar
  31. Roche, A. F., Wainer, H., and Thissen, D., 1975a, The RWT method for the prediction of adult stature, Pediatrics, 56: 957.Google Scholar
  32. Roche, A. F., Wainer, H., and Thissen, D., 1975b, “Skeletal Maturity. The Knee Joint as a Biological Indicator,” Plenum Publishing Corporation, New York.Google Scholar
  33. Schreiber, A., Patois, E., and Roy, M. P., 1976, Etude comparative de quatre methodes de prédiction de la taille adulte, Compte- Rendu de la XIII Réunion des Equipes Chargées des Etudes sur la Croissance et le Développement de l’Enfant Normal, Rennes.Google Scholar
  34. Schulhof, R. J., and Bagha, L., 1975, A statistical evaluation of the Ricketts and Johnston growth-forecasting methods, Am. J. Orthod., 67: 258.CrossRefGoogle Scholar
  35. Tanner, J. M., Whitehouse, R. H., Marshall, W. A., Healy, M. J. R., and Goldstein, H., 1975, “Assessment of Skeletal Maturity and Prediction of Adult Height (TW 2 Method),” Academic Press, London.Google Scholar
  36. Terracol, J., and Ardouin, P., 1965, “Anatomie des Fosses Nasales et des Cavités Annexes,” Libraire Moloine, S. A., Paris.Google Scholar
  37. Vidic, B., 1968, The postnatal development of the sphenoidal sinus and its spread into the dorsum sellae and posterior clinoid processes, Am. J. Roentgenol, Radium Ther. & Nucl. Med., 104: 177.Google Scholar
  38. Wainer, H., and Thissen, D., 1975, Multivariate semi-metric smoothing in multiple prediction, J. Am. Statis. Assoc., 70: 568.Google Scholar
  39. Wainer, H., and Thissen, D., 1976, Two programs for predicting adult stature for individuals, Pediatrics, 58: 368.Google Scholar
  40. Walker, R. N., 1974, Standards for somatotyping children: I. The prediction of young adult height from children’s growth data, Ann. Hum. Biol., 1: 149.CrossRefGoogle Scholar
  41. Welch, Q. B., 1970, Fitting growth and research data, Growth, 34: 293.Google Scholar
  42. Zachmann, M., Sobradillo, B., Frank, M., Frisch, H., and Prader, A., 1978, Bayley-Pinneau, Roche-Wainer-Thissen, and Tanner height predictions in normal children and in patients with various pathologic conditions, J. Pediatr., 93: 749.CrossRefGoogle Scholar

Copyright information

© Plenum Press, New York 1980

Authors and Affiliations

  • Alex F. Roche
    • 1
  1. 1.Fels Research Institute and Department of PediatricsWright State University School of MedicineYellow SpringsUSA

Personalised recommendations