Longitudinal Analysis of Spirometry in Black Children

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT00005422
Recruitment Status : Completed
First Posted : May 26, 2000
Last Update Posted : May 13, 2016
Information provided by:
National Heart, Lung, and Blood Institute (NHLBI)

Brief Summary:
To conduct a longitudinal investigation of early childhood lower respiratory illness (LRI) and patterns of lung growth using an existing electronic dataset generated by an 18-year study (1972-1990) of a population of 102 Black children followed from birth at the Frank Porter Graham Child Development Center.

Condition or disease
Lung Diseases

Detailed Description:


The study should improve knowledge of the patterns of functional lung development during childhood and factors that influence both relative level and growth rate of lung function in Black children and should offer new understanding of the predictive value of spirometric tests of lung function performed at an early age.


The study used a previously existing database which was of unique value because it included comprehensive respiratory illness data collected on-site during the children's tenure in the Frank Porter Graham Child Development Center's daycare facility and spirometric data collected longitudinally from three to 13 years of age. Furthermore, the measurements were for children in a racial group for whom limited cross-sectional or longitudinal spirometric data were available.

The longitudinal analyses had two primary objectives. The first was to characterize patterns of functional lung development in Black children from three to 13 years of age and relate these patterns to potentially influential factors such as (a) wheezing and non-wheezing associated LRI experience during the infant (ages 0 to two) and preschool (ages two to five) years, (b) ages of occurrence of first and subsequent LRI episodes, and (c) respiratory syncytial virus etiology of LRI. Potentially confounding factors included prenatal and childhood exposure to environmental tobacco smoke and allergies. The second objective was to determine the degree to which spirometric parameters 'track' for individual children and for populations of children over the interval from three to 13 years of age. This objective required assessment of the degree to which spirometric evaluations during the preschool years were predictive of later lung function.

The statistical analyses for achieving these objectives used recently developed statistical methods based on the general linear mixed model. By design, these methods for longitudinal data handled unbalanced data with missing values, incorporated time-varying covariates, and provided more exactly the extent to which the level of lung function of individual children was maintained relative to that of other study children and determined the value of preschool spirometric measurements as predictors of levels of spirometric performance during later childhood and adolescence. These analyses utilized methods developed by Stewart, Pekow, Burchinal, and Helms in 1991 that were unique in that they were designed to handle incomplete, inconsistently-timed data as well as complete, balanced data.

The study completion date listed in this record was obtained from the "End Date" entered in the Protocol Registration and Results System (PRS) record.

Study Type : Observational
Study Start Date : April 1992
Actual Study Completion Date : March 1995

Information from the National Library of Medicine

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Ages Eligible for Study:   up to 100 Years   (Child, Adult, Senior)
Sexes Eligible for Study:   Male
Accepts Healthy Volunteers:   No
No eligibility criteria Identifier: NCT00005422     History of Changes
Other Study ID Numbers: 4340
R03HL048400 ( U.S. NIH Grant/Contract )
First Posted: May 26, 2000    Key Record Dates
Last Update Posted: May 13, 2016
Last Verified: June 2000

Additional relevant MeSH terms:
Lung Diseases
Respiratory Tract Diseases