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Am. J. Respir. Crit. Care Med., Volume 159, Number 1, January 1999, 179-187

Spirometric Reference Values from a Sample of the General U.S. Population

JOHN L. HANKINSON, JOHN R. ODENCRANTZ, and KATHLEEN B. FEDAN

Division of Respiratory Disease Studies, National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention, Morgantown, West Virginia

    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Spirometric reference values for Caucasians, African-Americans, and Mexican-Americans 8 to 80 yr of age were developed from 7,429 asymptomatic, lifelong nonsmoking participants in the third National Health and Nutrition Examination Survey (NHANES III). Spirometry examinations followed the 1987 American Thoracic Society recommendations, and the quality of the data was continuously monitored and maintained. Caucasian subjects had higher mean FVC and FEV1 values than did Mexican-American and African-American subjects across the entire age range. However, Caucasian and Mexican-American subjects had similar FVC and FEV1 values with respect to height, and African-American subjects had lower values. These differences may be partially due to differences in body build: observed Mexican-Americans were shorter than Caucasian subjects of the same age, and African-Americans on average have a smaller trunk:leg ratio than do Caucasians. Reference values and lower limits of normal were derived using a piecewise polynomial model with age and height as predictors. These reference values encompass a wide age range for three race/ethnic groups and should prove useful for diagnostic and research purposes.

    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

The third National Health and Nutrition Examination Survey (NHANES III) was conducted from 1988 to 1994, and it comprised a random sample of the U.S. population living in households. The sample was selected from households in 81 counties across the United States, and included an oversampling of African-American and Mexican-American populations. Pulmonary function data (spirometry) were collected on 20,627 survey participants 8 yr of age and older. Because data were collected in a standardized manner for all survey participants, valid comparisons among different race/ethnic groups were possible. This analysis of the NHANES III spirometry data was conducted to develop reference equations to describe normal pulmonary function for three major race/ethnic groups: Caucasians, African-Americans, and Mexican-Americans.

Many studies have published lung function reference values for a variety of race/ethnic groups and age ranges. Hsu and colleagues (1) described ventilatory function in children and young adults 7 to 20 yr of age in the same three race/ethnic groups surveyed in NHANES III. Schwartz and colleagues (2) generated predictive equations based on data collected on African-American and Caucasian participants 6 to 24 yr of age in the NHANES II survey. Recent work by Wang and colleagues (3, 4) studied pulmonary function in African-American and Caucasian children between 6 and 18 yr of age. Both Knudson and coworkers (5) and Crapo and colleagues (6) studied Caucasian adults exclusively; in a separate study Crapo and coworkers (7) looked at the lung function of healthy Hispanic Americans. Similarly, Coultas and colleagues (8) developed spirometric prediction equations for a group of Hispanic children and adults in New Mexico. In a recent reference value study, Glindmeyer and colleagues (9) compared Caucasian and African-American men and women 18 to 65 yr of age. However, no recent study has collected pulmonary measurements for both sexes across an extensive range of ages for Caucasians, African-Americans, and Mexican-Americans.

One significant aspect of NHANES III was the use of equipment and procedures that met the 1987 American Thoracic Society's (ATS) spirometry recommendations (10), and featured automated quality assessment during test performance. To maintain the highest level of technician performance, a quality control center continuously reviewed the data and provided quality control reports and follow-up training as appropriate. In 1994, as NHANES III was completing data collection, the ATS revised its 1987 spirometry recommendations (11), which included changes in both the extrapolated volume and the reproducibility criteria. In addition the NHANES III spirometry protocol called for each participant to perform a minimum of five maneuvers, which differed from the three acceptable maneuvers recommended by the ATS (10, 11). To make findings from NHANES III useful to future investigations utilizing the 1994 ATS recommendations, the raw data were also reanalyzed to follow the 1994 ATS recommendations, and the impact of using a minimum of five versus three maneuvers was investigated.

    METHODS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Spirometry was performed in 20,627 survey participants (16,484 adults and 4,143 youths) as part of NHANES III. The NHANES III is the most recent in a series of studies designed to assess the health and nutrition status of adults and children in the United States through interviews and direct physical examinations. The sample design of the NHANES III is a stratified multistage probability sample of the U.S. population. The survey was conducted by the National Center for Health Statistics (NCHS) beginning in 1988 and continuing until 1994. Detailed description of the survey design and data collection methodology have been published by NCHS (12, 13). The participants (for children a proxy---ideally a parent or guardian) also completed a detailed administered questionnaire that gathered information on sex, race, ethnicity, health, and limited occupational history. Body measurements were also taken, including standing height, weight, and sitting height. Standing height was measured without shoes with the subject's back to a vertical backboard. Both heels were placed together, touching the base of the vertical board.

After an explanation of the test procedure, each subject attempted to perform at least five FVC maneuvers, with an additional goal of meeting the ATS acceptability and reproducibility criteria. Forced exhaled volumes were measured using a dry rolling-seal spirometer. The spirometer used a digital shaft encoder to measure volume with a volume resolution of 2.6 ml and a sampling interval of 10 ms. All of the digital volume-time curves were saved on digital tape (as much as 20 s of exhalation), allowing recalculation of all parameters and test performance with regard to ATS acceptability and reproducibility criteria. The spirometry system has been independently tested (14) and found to exceed the ATS spirometry equipment recommendations.

During the performance of the FVC maneuver, real-time displays of flow-volume and volume-time curves were provided to the technicians with an indication of when 6 s of exhalation had been achieved. At the completion of each maneuver, a display was provided of all the flow-volume curves, the FVC, FEV1, PEF, and expiratory time, and the percentage difference between each value of FVC, FEV1, and PEF and the corresponding largest value. The computer also determined whether the last maneuver was unacceptable (cough, excessive extrapolated volume, and late peak flow) and whether additional maneuvers were needed to meet the ATS acceptability and reproducibility criteria. The technicians were instructed to obtain a minimum of five maneuvers and a maximum of eight, ensuring that the subject produced the highest possible peak flows, and that maximum exhalation continued for at least 6 s and until there was a plateau in the volume-time curve: no change in volume (40 ml) for at least 2 s. For Spanish-speaking subjects, a Spanish-speaking technician administered the test or an interpreter was provided. The test was performed in the standing position and noseclips were worn unless there was a valid reason these conditions could not be met.

A more detailed description of the study and spirometry procedures is available (13) and a more detailed description of the results of applying the ATS acceptability and reproducibility criteria in this study has been reported by Hankinson and Bang (15).

Quality control of the spirometry data was conducted by the National Institute for Occupational Safety and Health (NIOSH), Morgantown, West Virginia, which served as the quality control center. In addition to formal initial training of at least 1 wk and a pilot study of 820 subjects (data not included), the technicians were continuously monitored during the entire study by a senior quality control technician who periodically traveled to the field to observe and provide additional instructions. At the completion of each study location (approximately 300 subjects per location), a quality control report evaluating each technician's performance was used to determine whether additional training or monitoring was warranted. In addition, the raw flow-volume and volume-time curves were reviewed by a senior technician and the subject's performance was graded. Those subjects whose performance was judged to be unacceptable by two senior technicians (less than two acceptable curves) were excluded from this analysis.

In 1994, the ATS approved a new statement on spirometry (11) that changed the reproducibility criteria to a constant 200 ml and the extrapolated volume lower limit from 100 to 150 ml. The ATS also recommended that three acceptable and reproducible maneuvers be performed, in contrast to the minimum of five maneuvers used in the NHANES III data collection protocol. To determine the impact of strictly following the 1994 ATS spirometry recommendations, the raw volume-time curves were reanalyzed to provide new values of FVC, FEV1, etc., which would have been obtained if the 1994 ATS recommendations had been in place during the NHANES III survey period. Specifically, each raw volume-time curve was reprocessed in the order that it was obtained (including unacceptable maneuvers). When the 1994 ATS minimum criteria were met (three acceptable maneuvers with a reproducible FVC and FEV1), no additional curves were used in the recalculation of this new set of spirometric parameters. In addition, when all curves were used, the 1994 acceptability and reproducibility criteria were used.

For use in the development of reference values, only asymptomatic, lifelong nonsmoking subjects with at least two acceptable maneuvers were included in our analysis. Applying these criteria eliminated 13,198 of the 20,627 study participants who performed spirometry, leaving 7,429 subjects (see Tables 1 and 2).

                              
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TABLE 1

NUMBER OF ADULT SUBJECTS EXCLUDED USING EXCLUSION CRITERIA

                              
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TABLE 2

NUMBER OF YOUNG SUBJECTS EXCLUDED USING EXCLUSION CRITERIA

In the figures, the mean values of largest FEV1 and FEV1/FVC% (averaged over 2-yr age or 2-cm height intervals) were plotted using the Axum plotting software (MathSoft, Cambridge, MA). Similarly for the comparison with other reference values studies, the mean values of age and height (averaged over 2-yr age increments) were used in the appropriate reference equation to calculate the values, as a function of age. For example, the mean height and mean age for the group of subjects 20 and 21 years of age were used in the reference equations to calculate their corresponding age-group predicted FEV1.

Statistical analyses were performed using SAS 6.12 for Windows. Assumptions of distributional normality were tested using the Shapiro-Wilk test. Reference equations and equations to calculate the lower limit of normal (LLN) criteria were developed using the SAS procedures PROC REG and PROC UNIVARIATE as well as graphic procedures for analysis of the distribution of residuals. Independent variables considered for inclusion in the models were age, standing height, weight, sitting height, and body mass index. The form of the model and choice of independent variables were based on a combination of statistical significance, fraction of explained variability (R2), and other considerations related to simplicity, ease of use, reliability, and, to a lesser degree, compatibility with methods used by other investigators. One further objective was to develop equations that included the entire age range of 8 to 80 yr and were free of any discontinuities over the age and height ranges of the reference population.

Because other models did not appear to offer significant statistical advantages over a lower-order polynomial, the lower-order polynomial model was chosen because of its ease of use and the success other investigators have had using this model in their reference equations. However, for age, a single lower-order polynomial was not fully adequate, and piecewise polynomials with one or more change points were considered. Methods to locate change points included a combination of graphic analysis to determine the approximate location and R2 to refine the graphic estimation. Graphic methods included the plotting of averages, and the examination of higher-order polynomial models for the location of extrema.

Consideration was given to developing a single equation for all three race/ethnic groups (Caucasian, African-American, and Mexican-American). Models were tested to determine whether any substantial improvement resulted from including information on race/ ethnicity, and, if so, whether such improvement represented a constant difference or whether there were departures from parallelism as a function of the independent variables. The bases for assessing the effect of race/ethnicity included formal hypothesis testing, changes in R2, and differences between the predicted values for different models relative to the magnitude of either predicted value and relative to the standard deviation over the range of the predictors.

The effect of transforming the pulmonary function parameters prior to modeling was examined. Transformations considered included logarithmic, square root, and dividing the pulmonary function parameter by the square of height. Aspects explored included improvement in the R2 and the standard error of the prediction, changes in the distribution of the residuals and the homogeneity of the variance over the predictors, and changes in the effect of including race/ ethnicity information. Variance homogeneity was tested by linear and quadratic regression models of the absolute values of the residuals, which are less sensitive to outliers. Prior to distribution examination, residuals were normalized on the basis of inhomogeneity models.

    RESULTS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

The largest number of NHANES III subjects were excluded from the reference population because of a history of smoking (Tables 1 and 2). The age distributions by sex and race/ethnic groups of the reference population is shown in Table 3.

                              
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TABLE 3

AGE DISTRIBUTION OF THE SELECTED REFERENCE POPULATION

The mean FEV1 values versus age for each of the three race/ethnic groups are shown in Figure 1 (males) and Figure 2 (females). For both males (Figure 1) and females (Figure 2), Caucasian subjects had higher mean FVC (not shown) and FEV1 values than did Mexican-American subjects across the entire age range. African-American males and females had lower mean FVC (not shown) and FEV1 values than did both the Caucasian and the Mexican-American subjects. The mean values of FEV1 versus height for adults and youths are shown in Figure 3 (males) and Figure 4 (females). Caucasian and Mexican-American height groups had similar FVC (not shown) and FEV1 values. However, with the exception of female youths, African-Americans had lower values of mean FEV1 for all heights when compared with Caucasian and Mexican-American subjects. The lower FEV1 values for Mexican-Americans compared with Caucasian values seen in Figures 1 and 2 and not present in Figures 3 and 4, where the FEV1 is slightly higher for Mexican-Americans, are most likely due to the lower mean heights for all Mexican-American age groups in Figures 1 and 2 (p < 0.0001).


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Figure 1.   Mean FEV1 versus age (2-yr increments) for male subjects.


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Figure 2.   Mean FEV1 versus age (2-yr increments) for female subjects.


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Figure 3.   Mean FEV1 versus height (2-cm increments) for youth and adult male subjects.


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Figure 4.   Mean FEV1 versus height (2-cm increments) for youth and adult female subjects.

In contrast to the difference between race/ethnic groups observed for FVC and FEV1, Figures 5 and 6 show relatively small, but statistically significant, differences in the FEV1/ FVC% between the three groups: Caucasian values are slightly lower than African-American and Mexican-American values.


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Figure 5.   Mean FEV1/FVC% versus age (2-yr increments) for male subjects.


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Figure 6.   Mean FEV1/FVC% versus age (2-yr increments) for female subjects.

In developing the regression model, age was found to be a necessary independent variable for all pulmonary function parameters. Height and weight were similar in terms of improving the R2, with little improvement when both are used in the model, height being chosen as the preferred measure. Body mass index offered improvements similar to weight. The addition of sitting height to a model where standing height is already present offered little improvement if the three race/ethnic groups are modeled with separate equations. Sitting height can to some degree account for between-race differences, but a common equation that includes sitting height is not as accurate as separate race/ethnic equations that do not include sitting height. Therefore, only age and height were used in the reference equations for FVC, FEV1, FEV6, PEF, and FEF25-75.

Because of the change in pulmonary function values with age---a sharp rise in adolescence followed by a gradual decline---the effect of age is not easily modeled with a single polynomial. Therefore, piecewise polynomials with a single change point were used in the reference equations for FVC, FEV1, FEV6, PEF, and FEF25-75. Although higher-order polynomials, the most obvious alternative, were used as an exploratory tool, higher-order terms were not statistically significant and their inclusion did not improve the R2. Plots of lung function versus age using higher-order polynomials in age and outcomes from using different change points suggested that the best change point for males was between 19 and 23 yr of age and for females between 17 and 21 yr of age. On the basis of the R2 values over these intervals, it was concluded that 20 yr was the best change point for males and 18 yr for females.

The residuals for FVC, FEV1, FEV6, PEF, and FEF25-75 were all inhomogeneous in variance with respect to height2, and as a consequence, the standard error of the estimate (SEE) for these variables was modeled as: SEE = b1 * height2. The normed residuals corresponding to these models do not differ significantly from the Gaussian in the case of FVC, FEV1, FEV6, and PEF, as determined by the Shapiro-Wilk test. The normed residuals of the FEF25-75 showed some indication of right skewing. Transformation (square root and logarithmic) prior to modeling did reduce the skewness in the FEF25-75. Transformations were not needed for FVC, FEV1, FEV6, and PEF; the LLN of the population was computed for these lung function parameters as predicted - 1.645 * SEE. Because the FEF25-75 had a skewed distribution, the LLN for that parameter is based on the observed lower fifth percentile.

The general form of the reference equations shown in the tables is:
lung function parameter=b<SUB>0</SUB>+b<SUB>1</SUB>* age+b<SUB>2</SUB>* age<SUP>2</SUP>+b<SUB>3</SUB>* height<SUP>2</SUP>. (1)

The HtPRD coefficient (b3 or coefficient, which is multiplied by height squared) in Tables 4 and 5 is used in the prediction equation, and the HtLLN coefficient (b3) is used in place of the HtPRD when calculating the LLN rather than subtracting a constant value from the predicted value.

                              
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TABLE 4

PREDICTION AND LOWER LIMIT OF NORMAL EQUATIONS FOR  SPIROMETRIC PARAMETERS FOR MALE SUBJECTS*

                              
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TABLE 5

PREDICTION AND LOWER LIMIT OF NORMAL EQUATIONS FOR  SPIROMETRIC PARAMETERS FOR FEMALE SUBJECTS*

The reference equations for the FEV1/FVC% and FEV1/ FEV6% for males and females by race/ethnic group are shown in Table 6. The InterceptPRD term in Table 6 is used in the prediction equation, and the InterceptLLN term replaces the InterceptPRD when calculating the LLN. The FEV1/FEV6% is provided as a potential surrogate for the FEV1/FVC% as a measure that does not require a prolonged exhalation. Only age is needed in the model, which has the general form:
lung function parameter=b<SUB>0</SUB>+b<SUB>1</SUB>* age. (2)

                              
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TABLE 6

PREDICTION AND LOWER LIMIT OF NORMAL  EQUATIONS FOR FEV1/FEV6% AND FEV1/FVC%  FOR MALE AND FEMALE SUBJECTS*

In a separate analysis, reference equations using the minimum number of curves needed to meet the 1994 ATS recommendations (three acceptable curves with a reproducible test) (ATS-min) were calculated. Averaged over all the subjects, the mean differences between the FVC and FEV1 using all the curves compared with ATS-min were 62.5 and 52 ml, respectively. We observed these differences to be approximately the same for all ages and heights.

A comparison of the reference equations from this study with those of other studies of Caucasian subjects---Crapo and colleagues (6), Knudson and coworkers (5), and Glindmeyer and colleagues (9)---are shown in Figure 7 (males) and Figure 8 (females). The reference values from the present study appear to be similar or slightly higher than those from other studies.


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Figure 7.   Predicted FEV1 versus age for Caucasian male subjects using equations from Knudson (5), Crapo (6), Glindmeyer (9), and current study.


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Figure 8.   Predicted FEV1 versus age for Caucasian female subjects using equations from Knudson (5), Crapo (6), Glindmeyer (9), and current study.

A comparison with other studies of Mexican-American subjects---Crapo and coworkers (7) and Coultas and colleagues (8)---are shown in Figure 9 (males) and Figure 10 (females). Similar to the comparison for Caucasian subjects, the reference values from the present study are similar or slightly higher than those from Crapo and Coultas. A comparison with a study by Glindmeyer and colleagues (9) of African-American subjects is presented in Figure 11 (males) and Figure 12 (females). Again, the reference values from the present study appear to be similar to those observed by Glindmeyer.


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Figure 9.   Predicted FEV1 versus age for Mexican-American male subjects using equations from Crapo (7), Coultas (8), and current study.


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Figure 10.   Predicted FEV1 versus age for Mexican-American female subjects using equations from Crapo (7), Coultas (8), and current study.


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Figure 11.   Predicted FEV1 versus age for African-American male subjects using equations from Glindmeyer (9) and current study.


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Figure 12.   Predicted FEV1 versus age for African-American female subjects using equations from Glindmeyer (9) and current study.

Similar results (not shown) were obtained for FVC comparisons with the exception that older subjects tended to have slightly higher values of FVC in the present study, especially when compared with the results of Glindmeyer and colleagues.

    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

It can clearly be seen in Figures 1 and 2 that both male and female Mexican-Americans and African-Americans have lower FEV1 values than do Caucasians for all age groups. However, only the African-Americans have lower FEV1 values for the same height. The lower FEV1 values observed for Mexican-Americans are attributable to the shorter heights observed in Mexican-Americans when compared with Caucasian subjects of similar age. This was confirmed when height was plotted as a function of age (not shown) and when heights were statistically compared. Although African-Americans have similar heights for a particular age, their FEV1 values are lower than both Caucasians and Mexican-Americans. Other recent studies (9, 16) have also observed a lower FEV1 in African-Americans, yet a similar FEV1/FVC%. The ATS statement (17) also concluded that when compared with Caucasians of European descent, values for most other races usually show smaller static and dynamic lung volumes but similar or higher FEV1/FVC%. They further suggested that these differences may be due to in part a difference in body build: African-Americans on average having a smaller trunk:leg ratio than do Caucasians.

Our data suggest that the practice of deriving African-American reference values by using an adjustment factor of approximately 12 to 15% applied to the Caucasian values does approximate the difference between the two groups. However, this correction factor was not optimal for all ages and heights observed in our study, and it could result in a 4% error for some ages and heights. In addition, the SEE was slightly greater in the African-American population, requiring a slightly different LLN cutoff than for Caucasian subjects.

The FVC and FEV1 values in the present study are similar or slightly higher than those observed in other studies. The present study strictly followed the 1987 ATS test performance criteria during data collection and used a real-time computer to verify that an acceptable and reproducible test had been obtained. For elderly subjects, this often resulted in as many as eight maneuvers being obtained, typically with long exhalation times (greater than 10 s). The emphasis on quality control in NHANES III may explain the slightly larger values observed in the present study when compared with other studies, particularly in those subjects who typically have difficulty satisfying the ATS acceptability and reproducibility criteria.

Because many laboratories may strictly follow the ATS acceptability and reproducibility criteria in terms of the number of maneuvers performed, results from these laboratories may not be completely comparable to those obtained using the present study's five-curve minimum. Therefore, a separate analysis was conducted using only the data from the number of curves needed to meet the 1994 ATS acceptability and reproducibility criteria (ATS-min). When the ATS-min was used, slightly lower FVC and FEV1 values were obtained; however, on average these differences were small.

The reference values for FEV6 provided in this study are not widely available in the literature. The FEV6 is a potential surrogate for the FVC in those situations where long exhalation times are impractical or unwarranted, particularly in elderly or severely obstructed subjects. In the severely or moderately obstructed subject, long exhalation times (greater than 6 s) may not be needed for diagnosis or to follow disease progression. However, the utility of the FEV1/FEV6% as a surrogate for the FEV1/FVC% in detecting and monitoring airway obstruction remains to be fully investigated.

These reference equations were generated using data collected from three race/ethnic groups across a wide range of ages and geographic locations within the United States. The on-going quality control program ensured that the highest possible quality was maintained during data collection throughout the 6-yr survey; all equipment and procedures met the ATS recommendations for spirometry. The reference values calculated after strictly following the 1994 ATS acceptability and reproducibility criteria should prove especially useful for current and future diagnostic and research purposes.

    Footnotes

Correspondence and requests for reprints should be addressed to Kathleen B. Fedan, CDC\\NIOSH\\DRDS, 1095 Willowdale Road, Morgantown, WV 26505-2888.

(Received in original form December 22, 1997 and in revised form May 20, 1998).

    References
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

1. Hsu, K. H. K., D. E. Jenkins, B. P. Hsi, E. Bourhofer, V. Thompson, N. Tanakawa, and G. S. J. Hsieh. 1979. Ventilatory function of normal children and young adults: Mexican-American, white and black. I. Spirometry. J. Pediatr. 95: 14-23 [Medline].

2. Schwartz, J. D., A. K. Stacey, R. W. Fegley, and M. S. Tockman. 1988. Analysis of spirometric data from a national sample of healthy 6- to 24-year-olds (NHANES II). Am. Rev. Respir. Dis. 138: 1405-1414 [Medline].

3. Wang, X., D. W. Dockery, D. Wypij, D. R. Gold, F. E. Speizer, J. H. Ware, and B. G. Ferris. 1993. Pulmonary function growth velocity in children 6 to 18 years of age. Am. Rev. Respir. Dis. 148: 1502-1508 [Medline].

4. Wang, X., D. W. Dockery, D. Wypij, M. E. Fay, and B. G. Ferris. 1993. Pulmonary function between 6 and 18 years of age. Pediatr. Pulmonol. 15: 75-88 [Medline].

5. Knudson, R. J., M. D. Lebowitz, C. J. Holberg, and B. Burrows. 1983. Changes in the normal maximal expiratory flow-volume curve with growth and aging. Am. Rev. Respir. Dis. 127: 725-734 [Medline].

6. Crapo, R. O., A. H. Morris, and R. M. Gardner. 1981. Reference spirometric values using techniques and equipment that meet ATS recommendations. Am. Rev. Respir. Dis. 123: 659-664 [Medline].

7. Crapo, R. O., R. L. Jensen, J. E. Lockey, V. Aldrich, and C. G. Elliott. 1990. Normal spirometric values in healthy Hispanic Americans. Chest 98: 1435-1439 [Abstract/Free Full Text].

8. Coultas, D. B., C. A. Howard, B. J. Skipper, and J. M. Samet. 1988. Spirometric prediction equations for Hispanic children and adults in New Mexico. Am. Rev. Respir. Dis. 138: 1386-1392 [Medline].

9. Glindmeyer, H. W., J. J. Lefante, C. McColloster, R. N. Jones, and H. Weill. 1995. Blue-collar normative spirometric values for Caucasian and African-American men and women aged 18 to 65.  Am. J. Respir. Crit. Care Med. 151: 412-422 [Abstract].

10. American Thoracic Society. 1987. Standardization of spirometry: 1987 update. ATS Statement. Am. Rev. Respir. Dis. 136: 1285-1298 [Medline].

11. American Thoracic Society. 1995. Standardization of spirometry: 1994 Update. ATS Statement. Am. J. Respir. Crit. Care Med. 152: 1107-1136 [Medline].

12. National Center for Health Statistics. 1994. Plan and operation of the Third National Health and Nutrition Examination Survey, 1988-1994. U.S. Government Printing Office, Washington, DC. DHHS Publication No. (PHS) 94-1308.

13. National Center for Health Statistics. 1996. NHANES III Reference Manuals and Reports. Data Dissemination Branch, Hyattsville, MD. CD-ROM No. 6-0178 (1096).

14. Nelson, S. B., R. M. Gardner, R. O. Crapo, and R. L. Jensen. 1990. Performance evaluation of contemporary spirometers. Chest 97: 288-297 [Abstract/Free Full Text].

15. Hankinson, J. L., and K. M. Bang. 1991. Acceptability and reproducibility criteria of the American Thoracic Society as observed in a sample of the general population. Am. Rev. Respir. Dis. 143: 516-521 [Medline].

16. Hankinson, J. L., K. B. Kinsley, and G. R. Wagner. 1996. Comparison of spirometric reference values for Caucasian and African-American nonexposed blue-collar workers. J. Occup. Environ. Med. 38: 137-143 [Medline].

17. American Thoracic Society. 1991. Lung function testing: selection of reference values and interpretative strategies. ATS Statement. Am. Rev. Respir. Dis. 144: 1202-1218 [Medline].





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M. B. Drummond, P. F. Schwartz, W. T. Duggan, J. G. Teeter, R. J. Riese, R. C. Ahrens, R. O. Crapo, R. D. England, N. R. MacIntyre, R. L. Jensen, et al.
Intersession Variability in Single-Breath Diffusing Capacity in Diabetics without Overt Lung Disease
Am. J. Respir. Crit. Care Med., August 1, 2008; 178(3): 225 - 232.
[Abstract] [Full Text] [PDF]


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Health Educ BehavHome page
E. A. Parker, B. A. Israel, T. G. Robins, G. Mentz, Xihong Lin, W. Brakefield-Caldwell, E. Ramirez, K. K. Edgren, M. Salinas, and T. C. Lewis
Evaluation of Community Action Against Asthma: A Community Health Worker Intervention to Improve Children's Asthma-Related Health by Reducing Household Environmental Triggers for Asthma
Health Educ Behav, June 1, 2008; 35(3): 376 - 395.
[Abstract] [PDF]


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ChestHome page
H. J. Farber, S. B. Knowles, N. L. Brown, L. Caine, V. Luna, Y. Qian, P. Lavori, and S. R. Wilson
Secondhand Tobacco Smoke in Children With Asthma: Sources of and Parental Perceptions About Exposure in Children and Parental Readiness To Change
Chest, June 1, 2008; 133(6): 1367 - 1374.
[Abstract] [Full Text] [PDF]


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Am. J. Respir. Crit. Care Med.Home page
J. Galanter, S. Choudhry, C. Eng, S. Nazario, J. R. Rodriguez-Santana, J. Casal, A. Torres-Palacios, J. Salas, R. Chapela, H. G. Watson, et al.
ORMDL3 Gene Is Associated with Asthma in Three Ethnically Diverse Populations
Am. J. Respir. Crit. Care Med., June 1, 2008; 177(11): 1194 - 1200.
[Abstract] [Full Text] [PDF]


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Ann Rheum DisHome page
C V Tehlirian, L K Hummers, B White, R A Brodsky, and F M Wigley
High-dose cyclophosphamide without stem cell rescue in scleroderma
Ann Rheum Dis, June 1, 2008; 67(6): 775 - 781.
[Abstract] [Full Text] [PDF]


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Eur Respir JHome page
M. R. Gingo, L. J. Silveira, Y. E. Miller, A. L. Friedlander, G. P. Cosgrove, E. D. Chan, L. A. Maier, and R. P. Bowler
Tumour necrosis factor gene polymorphisms are associated with COPD
Eur. Respir. J., May 1, 2008; 31(5): 1005 - 1012.
[Abstract] [Full Text] [PDF]


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ChestHome page
S. K. F. Leung, W. W. Yew, P. C. Wong, D. Y. T. Fong, A. C. W. Lau, and M. S. M. Ip
Lung Function Testing Prediction Equations: Do They Fit All?
Chest, May 1, 2008; 133(5): 1288 - 1289.
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ThoraxHome page
M Bednarek, J Maciejewski, M Wozniak, P Kuca, and J Zielinski
Prevalence, severity and underdiagnosis of COPD in the primary care setting
Thorax, May 1, 2008; 63(5): 402 - 407.
[Abstract] [Full Text] [PDF]


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Am J EpidemiolHome page
M. D. Eisner, C. Iribarren, E. H. Yelin, S. Sidney, P. P. Katz, L. Ackerson, P. Lathon, I. Tolstykh, T. Omachi, N. Byl, et al.
Pulmonary Function and the Risk of Functional Limitation in Chronic Obstructive Pulmonary Disease
Am. J. Epidemiol., May 1, 2008; 167(9): 1090 - 1101.
[Abstract] [Full Text] [PDF]


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Therapeutic Advances in Respiratory DiseaseHome page
K. M. Kunisaki, K. L. Rice, E. N. Janoff, T. S. Rector, and D. E. Niewoehner
Exhaled nitric oxide, systemic inflammation, and the spirometric response to inhaled fluticasone propionate in severe chronic obstructive pulmonary disease: A prospective study
Therapeutic Advances in Respiratory Disease, April 1, 2008; 2(2): 55 - 64.
[Abstract] [PDF]


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Ann. Thorac. Surg.Home page
D. P. Mason, J. Rajeswaran, S. C. Murthy, A. M. McNeill, M. M. Budev, A. C. Mehta, G. B. Pettersson, and E. H. Blackstone
Spirometry After Transplantation: How Much Better Are Two Lungs Than One?
Ann. Thorac. Surg., April 1, 2008; 85(4): 1193 - 1201.
[Abstract] [Full Text] [PDF]


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Eur Respir JHome page
S. P. Kuster, D. Kuster, C. Schindler, M. K. Rochat, J. Braun, L. Held, and O. Brandli
Reference equations for lung function screening of healthy never-smoking adults aged 18-80 years
Eur. Respir. J., April 1, 2008; 31(4): 860 - 868.
[Abstract] [Full Text] [PDF]


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Diabetes CareHome page
C. C.W. Hsia and P. Raskin
Lung Involvement in Diabetes: Does it matter?
Diabetes Care, April 1, 2008; 31(4): 828 - 829.
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ChestHome page
P. T. Kelly, M. P. Swanney, L. M. Seccombe, C. Frampton, M. J. Peters, and L. Beckert
Air Travel Hypoxemia vs the Hypoxia Inhalation Test in Passengers With COPD
Chest, April 1, 2008; 133(4): 920 - 926.
[Abstract] [Full Text] [PDF]


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Am. J. Respir. Crit. Care Med.Home page
K. L. Stolzmann, D. R. Gagnon, R. Brown, C. G. Tun, and E. Garshick
Longitudinal Change in FEV1 and FVC in Chronic Spinal Cord Injury
Am. J. Respir. Crit. Care Med., April 1, 2008; 177(7): 781 - 786.
[Abstract] [Full Text] [PDF]


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dmphpHome page
G. I. Banauch, G. Izbicki, V. Christodoulou, M. D. Weiden, M. P. Webber, H. Cohen, J. Gustave, R. Chavko, T. K. Aldrich, K. J. Kelly, et al.
Trial of Prophylactic Inhaled Steroids to Prevent or Reduce Pulmonary Function Decline, Pulmonary Symptoms, and Airway Hyperreactivity in Firefighters at the World Trade Center Site
Disaster Med Public Health Preparedness, March 1, 2008; 2(1): 33 - 39.
[Abstract] [Full Text] [PDF]


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Eur Respir JHome page
P. Degens and R. Merget
Reference values for spirometry of the European Coal and Steel Community: time for change
Eur. Respir. J., March 1, 2008; 31(3): 687 - 688.
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J Pediatr PsycholHome page
J. Sales, R. Fivush, and G. W. Teague
The Role of Parental Coping in Children with Asthma's Psychological Well-being and Asthma-related Quality of Life
J. Pediatr. Psychol., March 1, 2008; 33(2): 208 - 219.
[Abstract] [Full Text] [PDF]


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ChestHome page
D. A. Zisman, A. S. Karlamangla, S. M. Kawut, O. A. Shlobin, R. Saggar, D. J. Ross, M. I. Schwarz, J. A. Belperio, A. Ardehali, J. P. Lynch III, et al.
Validation of a Method To Screen for Pulmonary Hypertension in Advanced Idiopathic Pulmonary Fibrosis
Chest, March 1, 2008; 133(3): 640 - 645.
[Abstract] [Full Text] [PDF]


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Am. J. Respir. Crit. Care Med.Home page
J. M. Brehm and J. C. Celedon
Chronic Obstructive Pulmonary Disease in Hispanics
Am. J. Respir. Crit. Care Med., March 1, 2008; 177(5): 473 - 478.
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Am. J. Respir. Crit. Care Med.Home page
D. J. Lederer, E. K. T. Benn, R. G. Barr, J. S. Wilt, G. Reilly, J. R. Sonett, S. M. Arcasoy, and S. M. Kawut
Racial Differences in Waiting List Outcomes in Chronic Obstructive Pulmonary Disease
Am. J. Respir. Crit. Care Med., February 15, 2008; 177(4): 450 - 454.
[Abstract] [Full Text] [PDF]


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Eur Respir JHome page
J. Vandevoorde, S. Verbanck, D. Schuermans, L. Broekaert, D. Devroey, J. Kartounian, and W. Vincken
Forced vital capacity and forced expiratory volume in six seconds as predictors of reduced total lung capacity
Eur. Respir. J., February 1, 2008; 31(2): 391 - 395.
[Abstract] [Full Text] [PDF]


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J. Appl. Physiol.Home page
R. L. Sorkness, E. R. Bleecker, W. W. Busse, W. J. Calhoun, M. Castro, K. F. Chung, D. Curran-Everett, S. C. Erzurum, B. M. Gaston, E. Israel, et al.
Lung function in adults with stable but severe asthma: air trapping and incomplete reversal of obstruction with bronchodilation
J Appl Physiol, February 1, 2008; 104(2): 394 - 403.
[Abstract] [Full Text] [PDF]


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QJMHome page
C.J.P. Smith, J. Gribbin, K.B. Challen, and R.B. Hubbard
The impact of the 2004 NICE guideline and 2003 General Medical Services contract on COPD in primary care in the UK
QJM, February 1, 2008; 101(2): 145 - 153.
[Abstract] [Full Text] [PDF]


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Am. J. Respir. Crit. Care Med.Home page
S. Stanojevic, A. Wade, J. Stocks, J. Hankinson, A. L. Coates, H. Pan, M. Rosenthal, M. Corey, P. Lebecque, and T. J. Cole
Reference Ranges for Spirometry Across All Ages: A New Approach
Am. J. Respir. Crit. Care Med., February 1, 2008; 177(3): 253 - 260.
[Abstract] [Full Text] [PDF]