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Age‐ and size‐related reference ranges: A case study of spirometry through childhood and adulthood

T. J. Cole, S. Stanojevic, J. Stocks and 3 more

Statistics in Medicine · 2008

doi:10.1002/sim.3504

Abstract

Age‐related reference ranges are useful for assessing growth in children. The LMS method is a popular technique for constructing growth charts that model the age‐changing distribution of the measurement in terms of the median, coefficient of variation and skewness. Here the methodology is extended to references that depend on body size as well as age, by exploiting the flexibility of the generalised additive models for location, scale and shape (GAMLSS) technique. GAMLSS offers general linear predictors for each moment parameter and a choice of error distributions, which can handle kurtosis as well as skewness. A key question with such references is the nature of the age‐size adjustment, additive or multiplicative, which is explored by comparing the identity link and log link for the median predictor. There are several measurements whose reference ranges depend on both body size and age. As an example, models are developed here for the first four moments of the lung function variables forced expiratory volume in 1 s (FEV 1 ), forced vital capacity (FVC) and FEV 1 /FVC in terms of height and age, in a data set of 3598 children and adults aged 4 to 80 years. The results show a strong multiplicative association between spirometry, height and age, with a large and nonlinear age effect across the age range. Variability also depends nonlinearly on age and to a lesser extent on height. FEV 1 and FVC are close to normally distributed, while FEV 1 /FVC is appreciably skew to the left. GAMLSS is a powerful technique for the construction of such references, which should be useful in clinical medicine. Copyright © 2008 John Wiley & Sons, Ltd.

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References 29

  1. 1.

    WHO child growth standards based on length/height, weight and age. Acta Paediatrica. 2006;450(Suppl.):76-85.

    Not in our library10.1111/j.1651-2227.2006.tb02378.x

  2. 2.

    WHO Child Growth Standards: Methods and Development. 2006.

    Not in our library

  3. 3.

    Cole TJ. Fitting smoothed centile curves to reference data (with Discussion). Journal of the Royal Statistical Society, Series A. 1988;151:385-418.

    Not in our library

  4. 4.

    Cole TJ, Green PJ. Smoothing reference centile curves: the LMS method and penalized likelihood. Statistics in Medicine. 1992;11:1305-1319.

    Not in our library10.1002/sim.4780111005

  5. 5.

    Cole TJ, Freeman JV, Preece MA. British 1990 growth reference centiles for weight, height, body-mass index and head circumference fitted by maximum penalized likelihood. Statistics in Medicine. 1998;17:407-429.

    Not in our library

  6. 6.

    Fredriks AM, van Buuren S, Burgmeijer RJ, Meulmeester JF, Beuker RJ, Brugman E, Roede MJ, Verloove Vanhorick SP, Wit JM. Continuing positive secular growth change in The Netherlands 1955–1997. Pediatric Research. 2000;47:316-323.

    Not in our library10.1203/00006450-200003000-00006

  7. 7.

    Kuczmarski RJ, Ogden CL, Guo SS, Grummer-Strawn LM, Flegal KM, Mei Z, Wei R, Curtin LR, Roche AF, Johnson CL. 2000 CDC Growth Charts for the United States: Methods and Development. 2002.

    Not in our library

  8. 8.

    Rigby RA, Stasinopoulos DM. Generalized additive models for location, scale and shape (with Discussion). Applied Statistics. 2005;54:507-544.

    Not in our library

  9. 9.

    Borghi E, de Onis M, Garza C, Van den Broeck J, Frongillo EA, Grummer-Strawn L, Van Buuren S, Pan H, Molinari L, Martorell R, Onyango AW, Martines JC. Construction of the World Health Organization child growth standards: selection of methods for attained growth curves. Statistics in Medicine. 2006;25:247-265.

    Not in our library10.1002/sim.2227

  10. 10.

    Stanojevic S, Wade A, Stocks J, Hankinson J, Coates AL, Pan H, Rosenthal M, Corey M, Lebecque P, Cole TJ. Reference ranges for spirometry across all ages: a new approach. American Journal of Respiratory and Critical Care Medicine. 2008;177:253-260.

    Not in our library10.1164/rccm.200708-1248oc

  11. 11.

    Cole TJ, Henry CJK. The Oxford Brookes basal metabolic rate database—a reanalysis. Public Health Nutrition. 2005;8:1202-1212.

    Not in our library10.1079/phn2005806

  12. 12.

    Jackson LV, Thalange NKS, Cole TJ. Blood pressure centiles for Great Britain. Archives of Disease in Childhood. 2007;92:298-303.

    Not in our library10.1136/adc.2005.081216

  13. 13.

    Kory RC, Callahan R, Boren HG, Syner JC. The veterans administration–army cooperative study of pulmonary function. I. Clinical spirometry in normal men. American Journal of Medicine. 1961;30:243-258.

    Not in our library10.1016/0002-9343(61)90096-1

  14. 14.

    Cole TJ. The influence of height on the decline in ventilatory function. International Journal of Epidemiology. 1974;3:145-152.

    Not in our library10.1093/ije/3.2.145

  15. 15.

    Cole TJ. Linear and proportional regression models in the prediction of ventilatory function (with Discussion). Journal of the Royal Statistical Society, Series A. 1975;138:297-337.

    Not in our library

  16. 16.

    West GB, Brown JH. The origin of allometric scaling laws in biology from genomes to ecosystems: towards a quantitative unifying theory of biological structure and organization. Journal of Experimental Biology. 2005;208:1575-1592.

    Not in our library10.1242/jeb.01589

  17. 17.

    Hankinson JL, Odencrantz JR, Fedan KB. Spirometric reference values from a sample of the general U.S. population. American Journal of Respiratory and Critical Care Medicine. 1999;159:179-187.

    Not in our library10.1164/ajrccm.159.1.9712108

  18. 18.

    Lebecque P, Desmond K, Swartebroeckx Y, Dubois P, Lulling J, Coates A. Measurement of respiratory system resistance by forced oscillation in normal children: a comparison with spirometric values. Pediatric Pulmonology. 1991;10:117-122.

    Not in our library10.1002/ppul.1950100214

  19. 19.

    Rosenthal M, Bain SH, Cramer D, Helms P, Denison D, Bush A, Warner JO. Lung function in white children aged 4 to 19 years. I—spirometry. Thorax. 1993;48:794-802.

    Not in our library10.1136/thx.48.8.794

  20. 20.

    Corey M, Levison H, Crozier D. Five- to seven-year course of pulmonary function in cystic fibrosis. American Review of Respiratory Disease. 1976;114:1085-1092.

    Not in our library10.1164/arrd.1976.114.6.1085

  21. 21.

    Stasinopoulos M, Rigby B, Akantziliotou C. 2008;206.

    Not in our library

  22. 22.

    R: A Language and Environment for Statistical Computing. 2006.

    Not in our library

  23. 23.

    Hastie T, Tibshirani R. Generalized additive models for medical research. Statistical Methods in Medical Research. 1995;4:187-196.

    Not in our library10.1177/096228029500400302

  24. 24.

    Hastie T, Tibshirani R. Varying-coefficient models. Journal of the Royal Statistical Society, Series B. 1993;55:757-796.

    Not in our library

  25. 25.

    Cole TJ. Sympercents: symmetric percentage differences on the 100loge scale simplify the presentation of log transformed data. Statistics in Medicine. 2000;19:3109-3125.

    Not in our library10.1002/1097-0258(20001130)19:22<3109::aid-sim558>3.0.co;2-f

  26. 26.

    Freeman JV, Cole TJ, Chinn S, Jones PRM, White EM, Preece MA. Cross sectional stature and weight reference curves for the U.K., 1990. Archives of Disease in Children. 1995;73:17-24.

    Not in our library10.1136/adc.73.1.17

  27. 27.

    Stasinopoulos DM, Rigby RA. Generalized additive models for location scale and shape (GAMLSS) in R. Journal of Statistical Software. 2007;23:1-46.

    Not in our library

  28. 28.

    Begany T. New reference data enable more accurate interpretation of lung function tests. Pulmonary Reviews. 2008;13:22.

    Not in our library

  29. 29.

    Pan H, Cole TJ. 2006.

    Not in our library

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